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1000 results for “Manamin”
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State Influences Performance – Our physiology drives emotion. Movement, posture, and energy directly affect courage, presence, and influence. Leadership begins with managing ourselves first. #TonyRobbins #Unleash #EmberhartPodcast https://youtu.be/guumYpReVZU?si=vDNzze_b9q-I3UJc
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Unleash: Feature flags in PHP
Feature flags (also known as feature toggles) let you enable or disable specific features or code paths at runtime without deploying new code. In this article, we'll explore Unleash, my favourite open-source tool for managing feature flags efficiently.https://chrastecky.dev/programming/unleash-feature-flags-in-php
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Unleash: Feature flags in PHP
Feature flags (also known as feature toggles) let you enable or disable specific features or code paths at runtime without deploying new code. In this article, we'll explore Unleash, my favourite open-source tool for managing feature flags efficiently.https://chrastecky.dev/programming/unleash-feature-flags-in-php
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Unleash: Feature flags in PHP
Feature flags (also known as feature toggles) let you enable or disable specific features or code paths at runtime without deploying new code. In this article, we'll explore Unleash, my favourite open-source tool for managing feature flags efficiently.https://chrastecky.dev/programming/unleash-feature-flags-in-php
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Israel Eliminates Lebanese Resistance Brigade Commander And Also Hezbollah Chief’s Secretary
As the fragile two-week ceasefire between the United States and the Islamic terrorist regime of Iran hangs on, Israel struck the terrorists in Lebanon successfully eliminating the commander of the Lebanese Resistance Brigade as well as the secretary of the chief of terrorist group Hezbollah, according to a news report by The Jerusalem Post.
To put things in perspective, posted below is an excerpt from The Jerusalem Post’s news report. Some parts in boldface…
The IDF said Thursday killed Maher Qassem Hamdan, the Commander of the Lebanese Resistance Brigades terrorist organization in the Chebaa area in southern Lebanon on Wednesday, in addition to seven others fleeing the area.
Hamdan was responsible for terrorist recruitment, weapons supply, and funding the Lebanese Resistance Brigades in Chebaa, according to the IDF, which added that the organization is funded by the Hezbollah terror organization and is connected to it directly.
The IDF also said Thursday that it killed Ali Yusuf Harshi, a close aide to Hezbollah Secretary-General Naim Qassem, in a strike in Beirut on Wednesday, as part of a broader wave of attacks on Hezbollah infrastructure across Lebanon.
Harshi was Qassem’s personal secretary and nephew, who also served as a senior advisor and played a central role in managing and securing the Hezbollah leader’s office.
The IDF added that overnight strikes targeted two key crossings used by Hezbollah operatives to move between areas north and south of the Litani River and transfer weapons. Around 10 weapons storage sites, launchers, and command centers in southern Lebanon were struck as part of ongoing efforts to disrupt the group’s military capabilities, the IDF said.
Separately, IDF troops from the 401st Brigade located a shaft leading to a subterranean site from which a terrorist emerged and was killed in close-quarters combat earlier this week. Inside, troops discovered a cache of weapons, including explosives, rockets, RPG launchers, grenades, and additional equipment, according to the military.
Moreover, the IDF said later Thursday that it carried out a strike in the Sidon area, killing Maher Qassem Hamdan, commander of the Lebanese Brigades in the Shebaa region, along with eight additional operatives who were attempting to flee the area.
Meanwhile, troops from the 215th Fire Brigade killed in recent days over 70 Hezbollah terrorists, including a cell preparing mortar fire against Israeli forces, the IDF said.
Earlier on Thursday, the IDF published footage of Paratroopers Brigade troops operating under the 98th Division during ground operations in southern Lebanon over the past week, targeting dozens of Hezbollah operatives and uncovering hidden weapons.
The military said troops moved into additional areas as part of efforts to establish operational control and reinforce Israel’s forward defensive line along the northern border. The operations were aimed at removing threats to Israeli civilians in the north while degrading Hezbollah’s infrastructure in the area, according to the military.
Troops located and seized a range of weapons, the IDF said, including firearms, magazines, and explosive devices that had been concealed, often within civilian areas, for use against IDF troops. The military added that the weapons caches were embedded within operational zones used by Hezbollah.
The Paratroopers Brigade has now established operational control over key sectors in southern Lebanon, according to the IDF, and continues to carry out strikes on what it described as terrorist infrastructure.
IDF activity in Lebanon aimed at reducing threats to frontline communities – The activity marks a continued expansion of Israeli ground maneuvers in Lebanon, as the military seeks to push Hezbollah forces further from the border and reduce immediate threats to northern communities.
The IDF released initial footage and images from the operations, showing troops conducting searches, locating weapons, and operating in built-up and rural terrain across southern Lebanon.
Let me end this piece by asking you readers: What is your reaction to this development? How many terrorists do you think Hezbollah and the Lebanese Resistance Brigades have combined? Do you think Israel will eventually crush Hezbollah and its terrorist partners in Lebanon? Do you think the fighting between Israel and the Lebanese terrorists will derail the two-week ceasfire between Iran and Trump’s America? Why do you think nations in different parts of the world are condemning Israel while supporting or protecting Hezbollah and other Islamic terrorists in Lebanon?
You may answer in the comments below. If you prefer to answer privately, you may do so by sending me a direct message online.
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Thank you for reading. If you find this article engaging, please click the like button below, share this article to others and also please consider making a donation to support my publishing. If you are looking for a copywriter to create content for your special project or business, check out my services and my portfolio. Feel free to contact me with a private message. Also please feel free to visit my Facebook page Author Carlo Carrasco and follow me on Twitter at @HavenorFantasy as well as on Tumblr at https://carlocarrasco.tumblr.com/ and on Instagram athttps://www.instagram.com/authorcarlocarrasco
#America #AmericaFirst #Ayatollah #BenjaminNetanyahu #CarloCarrasco #ChatGPT #Communist #diversity #DonaldJTrump #DonaldTrump #evilOfIran #Facebook #Fediverse #geek #geopolitics #Google #GoogleSearch #Hamas #Hezbollah #ILoveIsrael #IStandWithIsrael #identityPolitics #Inclusion #Instagram #Investagrams #Iran #Islam #IslamicTerrorism #IslamicTerroristRegimeOfIran #IslamicTerroristStateOfIran #IslamicTerrorists #Islamist #IslamoLeft #Israel #IsraelDefenseForcesIDF #Jerusalem #JewishState #journalism #LebaneseResistanceBrigades #Lebanon #MAGA #MakeAmericaGreatAgain #MakeAmericaGreatAgainMAGA #Marxist #Mastodon #military #militaryLifestyle #OperationRoaringLion #Palestinians #politics #PresidentTrump #Republicans #socialMedia #socialist #soldiers #StateOfIsrael #SupportIsrael #technology #terrorism #terroristStateOfIran #terrorists #TheJerusalemPost #Trump #TrumpSAmerica #Tumblr #UnitedStates #UnitedStatesOfAmerica #UnitedStatesOfAmericaUSA #war #woke #WordPress #WordPressCom -
"BREAKING: Donald #Trump just said the Strait of #Hormuz will be “jointly controlled, and maybe controlled by me and the #Ayatollah.”
The same man who 36 hours ago threatened to “obliterate” Iranian power plants now proposes co-managing the world’s most important oil chokepoint with the leader of the country he is bombing. In the same breath, Trump said: “It is not the Supreme Leader; nobody has heard from him, and we don’t know if he is living.”
He is proposing to jointly control the strait with a man he simultaneously says may be dead."
https://x.com/shanaka86/status/2036110593871290578?s=46&t=oyGVJhOO7c3tLwP_j7fQmQ
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MANAGING RISK in small federal government contracting business system development - Insuring wise business system development decisions, specific to your company.
https://rosecoveredglasses.wordpress.com/2025/05/27/managing-risk-in-small-federal-government-contracting-business-system-development/
#smallbusiness #federalcontracting #businesssystems -
📖 Automatic API documentation:
PostgREST generates #OpenAPI specs automatically from your schema. Hook up Swagger-UI → interactive, always up-to-date docs for your API. No more manual doc maintenance.
🏗️ Versioning through DB schemas:
Instead of managing API versions in code, PostgREST uses #PostgreSQL schemas. Tables can change, the public API stays stable behind views. Clean separation, no brittle endpoints.🛡️ Data integrity lives in the database:
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Tired of chat-based AI coding tools that need constant attention?
I built Camelot: a Kanban board for managing AI agents that code.
✓ Multiple agents working in parallel
✓ Real-time visibility into what they're doing
✓ Approval gates before anything ships
✓ Self-hosted, open-sourceBuilt with Elixir/Phoenix.
🏰 https://camelotai.tech?utm_source=mastodon&utm_medium=social&utm_campaign=anti-chat-manifesto
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No one tells you just how much work goes into a small YouTube channel. For me, Terminal Tilt is a labor of love, but it is a massive undertaking:
Research and Writing: This is the largest portion. Not just diving into topics, but finding ones truly worth your time.
Filming and Privacy: I have chosen a "headless" approach (screen-only). It respects my privacy and helps me manage the workload, but it still requires a lot of setup.
Voiceovers: This is the hardest part for me. Managing social anxiety while recording is a constant hurdle, but it is one I am getting better at with every video.
Editing: I am currently spending 8–12 hours per video (since last video). As I learn more techniques, the complexity grows, but so does the quality.
The small Stuff: Learning GIMP for thumbnails and managing promotion. Those little things really do add up.
I am disabled and currently navigating the long road to SSDI approval. My goal is to grow Terminal Tilt into something sustainable, a way to support myself while advocating for ethical, #NoAI, and #deGoogled technology. I am taking this seriously and I am having a lot of fun building this.
If you value independent, human-made tech content, there are a few ways to help keep the terminal open:
▶️ Subscribe on YouTube: https://www.youtube.com/@TerminalTilt
🧡 Patreon: https://www.patreon.com/cw/TerminalTilt
☕ Ko-Fi: https://ko-fi.com/terminaltilt
Thank you all for the follows, the boosts, and the support. It means the world to have your backing as I build an independent channel focused on what actually works, not just what's trending.
#TerminalTilt #Linux #GNUlinux #OpenSource #FOSS #FLOSS #Tech #Privacy #CyberSecurity #DigitalPrivacy #Debian #CommandLine #CLI #Terminal #Bash #FishShell #Dotfiles #Debian #Trixie #QueerTech #TransInTech #DisabledInTech #Accessibility #NoAI #HumanMade #DeGoogle #EthicalTech #Autonomy #SysAdmin #SelfHosted #HomeLab #Queer #LGBTQIA #LGBT #YouTube #ContentCreator #SmallStreamer #LinuxUser #IndieCreator #SupportIndependent #Mullvad #MutualAid #DisabilityMutualAid #QueerMutualAid
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CW: email client opinions
Switched to #Thunderbird as my main #email client, partly to see what life is like outside of #mu4e . So far I'm very pleasantly surprised.
Adding all my accounts (or at least the 5-ish I actually use) was a breeze, the UI is snappy (#Emacs really should do something about UI latency btw, it occasionally freezes even on my relatively high end workplace workstation), managing spam works much better.
Also the little UX touches, like the (optional, but on by default) confirmation dialog when you send an email with Ctrl-Enter, or the way it warns you if you mentioned an attachment but didn't attach anything... *mwah* *chef kiss*
Will I miss mu4e's query language? Maybe, but since I've given up on high volume mailing lists, I haven't really needed it. And to be honest, I didn't find the query language's syntax all that intuitive.
I do kinda miss mu4e's keyboard shortcuts. :moomin_hmm:
I'm curious to see how well Thunderbird will do on the full-text search front, because there were way too many times when I couldn't find something in mu4e. Although I think mu4e still fares better than #RoundCube.
edit: Forgot my biggest gripe: trying to print PDF attachments from mu4e was a pain. -
Pro-Grade Ham Radio Displays: Integrating OpenHamClock into PiSignage
758 words, 4 minutes read time.
A Helping Hand Needed for a Fellow Programmer
I’m reaching out to see if you can lend a hand to a talented software developer who’s currently on the job hunt. With over 30 years of experience in C#, .NET (Core/6–8), REST APIs, SQL Server, Angular/Razor, Kubernetes, and cloud CI/CD, he’s a seasoned pro with a proven track record of leading modernization projects and delivering production systems.Some of his notable accomplishments include DB2 to SQL migrations, building real-time SignalR apps, and developing full-stack API and frontend projects. Based in Southeast Michigan, he’s looking for senior engineering, architecture, or technical lead roles that will challenge him and utilize his skills.
If you’re in a position to help, you can check out his resume and portfolio at http://charles.friasteam.com.
Let’s all look out for each other – if you know of any opportunities that might be a good fit, could you please consider passing this along to your network?
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If you are a ham radio operator, you know that a HamClock is the ultimate shack companion. But what if you want to move beyond a dedicated small screen and integrate that data-rich display into a professional digital signage environment?
By using PiSignage, you can rotate your HamClock with other station metrics, weather, or club announcements. However, getting a clean, secure, and “pop-up free” experience requires a few tricks.
In this post, I’ll show you how to deploy OpenHamClock using Docker and how to strip away the UI clutter for a seamless kiosk experience.
The Setup
To follow along, you will need a PiSignage server instance. I personally run mine as a Docker container, which keeps the server stack isolated and easy to back up.
1. The Docker Compose Configuration
PiSignage and modern browsers often require secure contexts (HTTPS) for certain features. Since the standard HamClock output is HTTP, we’ll use a two-service setup: the clock itself and a lightweight SSL-wrap sidecar using
socatandopenssl.docker-componse.yml
services: openhamclock: image: ghcr.io/accius/openhamclock:latest container_name: openhamclock expose: - "3000" environment: - CALLSIGN=<CALL SIGN> - LOCATOR=<Grid Square Locator> - THEME=dark - UNITS=imperial restart: unless-stopped ssl-wrap: image: alpine container_name: hamclock-ssl ports: - "3000:3000" command: > sh -c "apk add --no-cache socat openssl && openssl req -x509 -newkey rsa:2048 -keyout /tmp/key.pem -out /tmp/cert.pem -days 365 -nodes -subj '/CN=localhost' && cat /tmp/cert.pem /tmp/key.pem > /tmp/combined.pem && socat OPENSSL-LISTEN:3000,cert=/tmp/combined.pem,verify=0,fork,reuseaddr TCP:openhamclock:3000" restart: unless-stopped2. Silencing the “What’s New” Pop-ups
When using HamClock as a signage element, you want it to be “set and forget.” The “What’s New” slide-ins are helpful for desktop users but ruin a clean kiosk display.
While there is a formal change request pending for a toggle, you can currently “force” these elements to stay hidden by injecting a bit of CSS directly into the distribution files. Run this command within your app environment:
find /app/dist -name "*.css" -exec sh -c 'echo "div[style*=\"whatsNewSlideIn\"], div[style*=\"backdrop-filter\"] { display: none !important; }" >> {}' \;3. Setting Up the Slide in PiSignage
Once your containers are humming along, you need to tell PiSignage how to display the clock.
Create the Weblink Asset
- Log in to your PiSignage Admin Panel.
- Navigate to Assets > Add > Weblink.
- Fill in the details:
- Name: OpenHamClock
- Link Address:
https://<YOUR-HOSTNAME>:3000/?kiosk=true
- Click Save.
Pro Tip: The
?kiosk=truesuffix is critical. It tells HamClock to hide its own internal menus and headers, giving you a dedicated, high-contrast dashboard perfect for a wall-mounted display.Deploy to Your Player
- Go to Playlists and add your new “OpenHamClock” asset.
- Set the Duration: Set this to
0for a permanent display, or a high number (like300for 5 minutes) if it’s part of a rotation. - Go to Groups, select your player, and deploy the playlist.
Your screen should refresh and show a beautiful, clean HamClock interface within seconds!
Running PiSignage in Docker?
For those of you looking to keep your entire server stack contained, running the PiSignage central server in Docker is the way to go. It keeps your host OS clean and makes management a breeze.
If you’d like me to discuss how to set up a dockerized PiSignage server, please comment below!
— 73 —
Call to Action
Getting this stack to play nice wasn’t a “one-and-done” install. It was a hard-fought process that took multiple attempts to finally crack the code on bypassing those “What’s New” screens and forcing a clean kiosk display. But the victory is in the uptime.
Don’t just lurk. If you’ve got the guts to show how you’re rebuilding your station on the wreckage of the old ways, drop a comment below. How are you occupying the victory today?
SUPPORTSUBSCRIBECONTACT MED. Bryan King
Sources
- OpenHamClock GitHub Repository (accius)
- Original HamClock Source by Clear Sky Institute
- PiSignage Official Documentation
- Docker Compose Specification and Documentation
- Alpine Linux Official Docker Image
- Socat Man Page – Multipurpose Relay Tool
- OpenSSL Official Documentation
- Maidenhead Locator System Overview
- Deep Dive: HamClock on Raspberry Pi
- PiSignage Server Docker Implementation
- Raspberry Pi Kiosk Mode Configuration
- MDN Web Docs: CSS Display Property
- Docker CMD vs Entrypoint Explained
- Understanding Self-Signed SSL Certificates
- ARRL: Understanding Grid Squares
- CSS Attribute Selectors (For Style Injection)
- Docker Container Networking Guide
- Linux Find Command Documentation
- Portainer: Managing Dockerized Signage Stacks
- PiSignage Community Support Forum
Disclaimer:
I love sharing what I’m learning, but please keep in mind that everything I write here—including this post—is just my personal take. These are my own opinions based on my research and my understanding of things at the time I’m writing them. Since life moves way too fast and things change quickly, please use your own best judgment and consult the experts for your specific situations!
Related Posts
Rate this:
#AlpineLinux #AmateurRadioDashboard #amateurRadioTechnology #Automation #containerization #CSSInjection #CustomCSS #DetroitHamRadio #devops #DigitalDashboard #DigitalSignage #DisplaySolutions #Docker #DockerCompose #DXCluster #EN82le #GHCR #gridSquare #hamRadio #HamRadioKiosk #hamRadioSoftware #hamRadioTools #HamClock #HomeLab #HTTPSWrapper #KioskMode #KioskSetup #KioskTrue #Linux #MaidenheadLocator #networkSecurity #OpenSource #OpenHamClock #OpenSSL #piSignage #PiSignageDocker #PiSignageTips #RadioStationDisplay #RaspberryPi #RaspberryPiProjects #realTimeData #RemoteMonitoring #ScreenRotation #SelfHosted #ServerManagement #ShackClock #SignalTracking #SmartShack #Socat #SoftwareWorkaround #SolarData #SSLWrap #StationIntegration #TechGuide #TechnicalTutorial #UITweaks #W8DBK #WebDevelopment #WebLinkAsset -
The AI Security Storm is Brewing: Are You Ready for the Downpour?
1,360 words, 7 minutes read time.
We live in an age where artificial intelligence is no longer a futuristic fantasy; it’s the invisible hand guiding everything from our morning commute to the recommendations on our favorite streaming services. Businesses are harnessing its power to boost efficiency, governments are exploring its potential for public services, and our personal lives are increasingly intertwined with AI-driven conveniences. But as this powerful technology becomes more deeply embedded in our world, a darker side is emerging – a growing storm of security risks that businesses and governments can no longer afford to ignore.
Think about this: the global engineering giant Arup was recently hit by a sophisticated scam where cybercriminals used artificial intelligence to create incredibly realistic “deepfake” videos and audio of their Chief Financial Officer and other executives. This elaborate deception tricked an employee into transferring a staggering $25 million to fraudulent accounts . This isn’t a scene from a spy movie; it’s a chilling reality of the threats we face today. And experts are sounding the alarm, with a recent prediction stating that a massive 93% of security leaders anticipate grappling with daily AI-driven attacks by the year 2025. This isn’t just a forecast; it’s a clear warning that the landscape of cybercrime is being fundamentally reshaped by the rise of AI.
While AI offers incredible opportunities, it’s crucial to understand that it’s a double-edged sword. The very capabilities that make AI so beneficial are also being weaponized by malicious actors to create new and more potent threats. From automating sophisticated cyberattacks to crafting incredibly convincing social engineering schemes, AI is lowering the barrier to entry for cybercriminals and amplifying the potential for widespread damage. So, let’s pull back the curtain and explore the growing shadow of AI, delving into the specific security risks that businesses and governments need to be acutely aware of.
One of the most significant ways AI is changing the threat landscape is by supercharging traditional cyberattacks. Remember those generic phishing emails riddled with typos? Those are becoming relics of the past. AI allows cybercriminals to automate and personalize social engineering schemes at an unprecedented scale. Imagine receiving an email that looks and sounds exactly like it came from your CEO, complete with their unique communication style and referencing specific projects you’re working on. AI can analyze vast amounts of data to craft these hyper-targeted messages, making them incredibly convincing and significantly increasing the chances of unsuspecting employees falling victim. This includes not just emails, but also more sophisticated attacks like “vishing” (voice phishing) where AI can mimic voices with alarming accuracy.
Beyond enhancing existing attacks, AI is also enabling entirely new forms of malicious activity. Deepfakes, like the ones used in the Arup scam, are a prime example. These AI-generated videos and audio recordings can convincingly impersonate individuals, making it nearly impossible to distinguish between what’s real and what’s fabricated. This technology can be used for everything from financial fraud and corporate espionage to spreading misinformation and manipulating public opinion. As Theresa Payton, CEO of Fortalice Solutions and former White House Chief Information Officer, noted, these deepfake scams are becoming increasingly sophisticated, making it critical for both individuals and companies to be vigilant .
But the threats aren’t just about AI being used to attack us; our AI systems themselves are becoming targets. Adversarial attacks involve subtly manipulating the input data fed into an AI model to trick it into making incorrect predictions or decisions. Think about researchers who were able to fool a Tesla’s autopilot system into driving into oncoming traffic by simply placing stickers on the road. These kinds of attacks can have serious consequences in critical applications like autonomous vehicles, healthcare diagnostics, and security systems .
Another significant risk is data poisoning, where attackers inject malicious or misleading data into the training datasets used to build AI models. This can corrupt the model’s learning process, leading to biased or incorrect outputs that can have far-reaching and damaging consequences. Imagine a malware detection system trained on poisoned data that starts classifying actual threats as safe – the implications for cybersecurity are terrifying.
Furthermore, the valuable intellectual property embedded within AI models makes them attractive targets for theft. Model theft, also known as model inversion or extraction, allows attackers to replicate a proprietary AI model by querying it extensively. This can lead to significant financial losses and a loss of competitive advantage for the organizations that invested heavily in developing these models.
The rise of generative AI, while offering incredible creative potential, also introduces its own unique set of security challenges. Direct prompt injection attacks exploit the way large language models (LLMs) work by feeding them carefully crafted malicious inputs designed to manipulate their behavior or output . This can lead to the generation of harmful, biased, or misleading information, or even the execution of unintended commands . Additionally, LLMs have the potential to inadvertently leak sensitive information that was present in their training data or provided in user prompts, raising serious privacy concerns. As one Reddit user pointed out, there are theoretical chances that your data can come out as answers to other users’ prompts when using these models.
Beyond these direct threats, businesses also need to be aware of the risks lurking in the shadows. “Shadow AI” refers to the unauthorized or ungoverned use of AI tools and services by employees within an organization. This can lead to the unintentional exposure of sensitive company data to external and potentially untrusted AI services, creating compliance nightmares and introducing security vulnerabilities that IT departments are unaware of.
So, what can businesses and governments do to weather this AI security storm? The good news is that proactive measures can significantly mitigate these risks. For businesses, establishing clear AI security policies and governance frameworks is paramount. This includes outlining approved AI tools, data handling procedures, and protocols for vetting third-party AI vendors. Implementing robust data security and privacy measures, such as encryption and strict access controls, is also crucial. Adopting a Zero-Trust security architecture for AI systems, where no user or system is automatically trusted, can add another layer of defense. Regular AI risk assessments and security audits, including penetration testing by third-party experts, are essential for identifying and addressing vulnerabilities. Furthermore, ensuring transparency and explainability in AI deployments, whenever possible, can help build trust and facilitate the identification of potential issues. Perhaps most importantly, investing in comprehensive employee training on AI security awareness, including recognizing sophisticated phishing and deepfake techniques, is a critical first line of defense.
Governments, facing even higher stakes, need to develop national AI security strategies and guidelines that address the unique risks to critical infrastructure and national security. Implementing established risk management frameworks like the NIST AI Risk Management Framework (RMF) and the ENISA Framework for AI Cybersecurity Practices (FAICP) can provide a structured approach to managing these complex risks. Establishing clear legal and regulatory frameworks for AI use is also essential to ensure responsible and secure deployment. Given the global nature of AI threats, promoting international collaboration on AI security standards is crucial. Finally, focusing on “security by design” principles in AI development, integrating security considerations from the outset, is the most effective way to build resilient and trustworthy AI systems.
The AI security landscape is complex and constantly evolving. Staying ahead of the curve requires a proactive, multi-faceted approach that combines technical expertise, robust policies, ethical considerations, and ongoing vigilance. The storm of AI security risks is indeed brewing, but by understanding the threats and implementing effective mitigation strategies, businesses and governments can prepare for the downpour and navigate this challenging new terrain.
Want to stay informed about the latest developments in AI security and cybercrime? Subscribe to our newsletter for in-depth analysis, expert insights, and practical tips to protect yourself and your organization. Or, join the conversation by leaving a comment below – we’d love to hear your thoughts and experiences!
D. Bryan King
Sources
- OWASP Gen AI Security Project
- OWASP Top 10 for LLMs 2023-24
- ENISA Framework for AI Cybersecurity Practices
- Cisco State of AI Security Report for 2025
- Perception Point AI Security Risks, Frameworks, and Best Practices
- Google Cloud Adversarial Misuse of Generative AI
- NIST AI Risk Management Framework
- Wiz Academy AI Security Risks
- Microsoft AI Security Guide
- SentinelOne AI Security Risks
- Practical DevSecOps Top AI Security Threats
- IBM Think AI Privacy Risks
- DHS Framework for Safe and Secure Deployment of AI in Critical Infrastructure
- CFO.com Report on Arup Deepfake Scam
Disclaimer:
The views and opinions expressed in this post are solely those of the author. The information provided is based on personal research, experience, and understanding of the subject matter at the time of writing. Readers should consult relevant experts or authorities for specific guidance related to their unique situations.
Related Posts
Rate this:
#adversarialAttacks #AIAudit #AIBestPractices #AICompliance #AICybercrime #AIDataSecurity #AIForNationalSecurity #AIGovernance #AIInBusiness #AIInCriticalInfrastructure #AIInGovernment #AIIncidentResponse #AIMisuse #AIModelSecurity #AIMonitoring #AIRegulations #AIRiskAssessment #AIRiskManagement #AISafety #AISecurity #AISecurityAwareness #AISecurityFramework #AISecurityPolicies #AISecuritySolutions #AISecurityTrends2025 #AIStandards #AISupplyChainRisks #AIThreatIntelligence #AIThreatLandscape #AIThreats #AITraining #AIVulnerabilities #AIAssistedSocialEngineering #AIDrivenAttacks #AIEnabledMalware #AIGeneratedContent #AIPoweredCyberattacks #AIPoweredPhishing #artificialIntelligenceSecurity #cyberSecurity #cybersecurityRisks #dataBreaches #dataPoisoning #deepfakeDetection #deepfakeScams #ENISAFAICP #ethicalAI #generativeAISecurity #governmentAISecurity #largeLanguageModelSecurity #LLMSecurity #modelTheft #nationalSecurityAIRisks #NISTAIRMF #privacyLeaks #promptInjection #shadowAI #zeroTrustAI
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The AI Security Storm is Brewing: Are You Ready for the Downpour?
1,360 words, 7 minutes read time.
We live in an age where artificial intelligence is no longer a futuristic fantasy; it’s the invisible hand guiding everything from our morning commute to the recommendations on our favorite streaming services. Businesses are harnessing its power to boost efficiency, governments are exploring its potential for public services, and our personal lives are increasingly intertwined with AI-driven conveniences. But as this powerful technology becomes more deeply embedded in our world, a darker side is emerging – a growing storm of security risks that businesses and governments can no longer afford to ignore.
Think about this: the global engineering giant Arup was recently hit by a sophisticated scam where cybercriminals used artificial intelligence to create incredibly realistic “deepfake” videos and audio of their Chief Financial Officer and other executives. This elaborate deception tricked an employee into transferring a staggering $25 million to fraudulent accounts . This isn’t a scene from a spy movie; it’s a chilling reality of the threats we face today. And experts are sounding the alarm, with a recent prediction stating that a massive 93% of security leaders anticipate grappling with daily AI-driven attacks by the year 2025. This isn’t just a forecast; it’s a clear warning that the landscape of cybercrime is being fundamentally reshaped by the rise of AI.
While AI offers incredible opportunities, it’s crucial to understand that it’s a double-edged sword. The very capabilities that make AI so beneficial are also being weaponized by malicious actors to create new and more potent threats. From automating sophisticated cyberattacks to crafting incredibly convincing social engineering schemes, AI is lowering the barrier to entry for cybercriminals and amplifying the potential for widespread damage. So, let’s pull back the curtain and explore the growing shadow of AI, delving into the specific security risks that businesses and governments need to be acutely aware of.
One of the most significant ways AI is changing the threat landscape is by supercharging traditional cyberattacks. Remember those generic phishing emails riddled with typos? Those are becoming relics of the past. AI allows cybercriminals to automate and personalize social engineering schemes at an unprecedented scale. Imagine receiving an email that looks and sounds exactly like it came from your CEO, complete with their unique communication style and referencing specific projects you’re working on. AI can analyze vast amounts of data to craft these hyper-targeted messages, making them incredibly convincing and significantly increasing the chances of unsuspecting employees falling victim. This includes not just emails, but also more sophisticated attacks like “vishing” (voice phishing) where AI can mimic voices with alarming accuracy.
Beyond enhancing existing attacks, AI is also enabling entirely new forms of malicious activity. Deepfakes, like the ones used in the Arup scam, are a prime example. These AI-generated videos and audio recordings can convincingly impersonate individuals, making it nearly impossible to distinguish between what’s real and what’s fabricated. This technology can be used for everything from financial fraud and corporate espionage to spreading misinformation and manipulating public opinion. As Theresa Payton, CEO of Fortalice Solutions and former White House Chief Information Officer, noted, these deepfake scams are becoming increasingly sophisticated, making it critical for both individuals and companies to be vigilant .
But the threats aren’t just about AI being used to attack us; our AI systems themselves are becoming targets. Adversarial attacks involve subtly manipulating the input data fed into an AI model to trick it into making incorrect predictions or decisions. Think about researchers who were able to fool a Tesla’s autopilot system into driving into oncoming traffic by simply placing stickers on the road. These kinds of attacks can have serious consequences in critical applications like autonomous vehicles, healthcare diagnostics, and security systems .
Another significant risk is data poisoning, where attackers inject malicious or misleading data into the training datasets used to build AI models. This can corrupt the model’s learning process, leading to biased or incorrect outputs that can have far-reaching and damaging consequences. Imagine a malware detection system trained on poisoned data that starts classifying actual threats as safe – the implications for cybersecurity are terrifying.
Furthermore, the valuable intellectual property embedded within AI models makes them attractive targets for theft. Model theft, also known as model inversion or extraction, allows attackers to replicate a proprietary AI model by querying it extensively. This can lead to significant financial losses and a loss of competitive advantage for the organizations that invested heavily in developing these models.
The rise of generative AI, while offering incredible creative potential, also introduces its own unique set of security challenges. Direct prompt injection attacks exploit the way large language models (LLMs) work by feeding them carefully crafted malicious inputs designed to manipulate their behavior or output . This can lead to the generation of harmful, biased, or misleading information, or even the execution of unintended commands . Additionally, LLMs have the potential to inadvertently leak sensitive information that was present in their training data or provided in user prompts, raising serious privacy concerns. As one Reddit user pointed out, there are theoretical chances that your data can come out as answers to other users’ prompts when using these models.
Beyond these direct threats, businesses also need to be aware of the risks lurking in the shadows. “Shadow AI” refers to the unauthorized or ungoverned use of AI tools and services by employees within an organization. This can lead to the unintentional exposure of sensitive company data to external and potentially untrusted AI services, creating compliance nightmares and introducing security vulnerabilities that IT departments are unaware of.
So, what can businesses and governments do to weather this AI security storm? The good news is that proactive measures can significantly mitigate these risks. For businesses, establishing clear AI security policies and governance frameworks is paramount. This includes outlining approved AI tools, data handling procedures, and protocols for vetting third-party AI vendors. Implementing robust data security and privacy measures, such as encryption and strict access controls, is also crucial. Adopting a Zero-Trust security architecture for AI systems, where no user or system is automatically trusted, can add another layer of defense. Regular AI risk assessments and security audits, including penetration testing by third-party experts, are essential for identifying and addressing vulnerabilities. Furthermore, ensuring transparency and explainability in AI deployments, whenever possible, can help build trust and facilitate the identification of potential issues. Perhaps most importantly, investing in comprehensive employee training on AI security awareness, including recognizing sophisticated phishing and deepfake techniques, is a critical first line of defense.
Governments, facing even higher stakes, need to develop national AI security strategies and guidelines that address the unique risks to critical infrastructure and national security. Implementing established risk management frameworks like the NIST AI Risk Management Framework (RMF) and the ENISA Framework for AI Cybersecurity Practices (FAICP) can provide a structured approach to managing these complex risks. Establishing clear legal and regulatory frameworks for AI use is also essential to ensure responsible and secure deployment. Given the global nature of AI threats, promoting international collaboration on AI security standards is crucial. Finally, focusing on “security by design” principles in AI development, integrating security considerations from the outset, is the most effective way to build resilient and trustworthy AI systems.
The AI security landscape is complex and constantly evolving. Staying ahead of the curve requires a proactive, multi-faceted approach that combines technical expertise, robust policies, ethical considerations, and ongoing vigilance. The storm of AI security risks is indeed brewing, but by understanding the threats and implementing effective mitigation strategies, businesses and governments can prepare for the downpour and navigate this challenging new terrain.
Want to stay informed about the latest developments in AI security and cybercrime? Subscribe to our newsletter for in-depth analysis, expert insights, and practical tips to protect yourself and your organization. Or, join the conversation by leaving a comment below – we’d love to hear your thoughts and experiences!
D. Bryan King
Sources
- OWASP Gen AI Security Project
- OWASP Top 10 for LLMs 2023-24
- ENISA Framework for AI Cybersecurity Practices
- Cisco State of AI Security Report for 2025
- Perception Point AI Security Risks, Frameworks, and Best Practices
- Google Cloud Adversarial Misuse of Generative AI
- NIST AI Risk Management Framework
- Wiz Academy AI Security Risks
- Microsoft AI Security Guide
- SentinelOne AI Security Risks
- Practical DevSecOps Top AI Security Threats
- IBM Think AI Privacy Risks
- DHS Framework for Safe and Secure Deployment of AI in Critical Infrastructure
- CFO.com Report on Arup Deepfake Scam
Disclaimer:
The views and opinions expressed in this post are solely those of the author. The information provided is based on personal research, experience, and understanding of the subject matter at the time of writing. Readers should consult relevant experts or authorities for specific guidance related to their unique situations.
Related Posts
Rate this:
#adversarialAttacks #AIAudit #AIBestPractices #AICompliance #AICybercrime #AIDataSecurity #AIForNationalSecurity #AIGovernance #AIInBusiness #AIInCriticalInfrastructure #AIInGovernment #AIIncidentResponse #AIMisuse #AIModelSecurity #AIMonitoring #AIRegulations #AIRiskAssessment #AIRiskManagement #AISafety #AISecurity #AISecurityAwareness #AISecurityFramework #AISecurityPolicies #AISecuritySolutions #AISecurityTrends2025 #AIStandards #AISupplyChainRisks #AIThreatIntelligence #AIThreatLandscape #AIThreats #AITraining #AIVulnerabilities #AIAssistedSocialEngineering #AIDrivenAttacks #AIEnabledMalware #AIGeneratedContent #AIPoweredCyberattacks #AIPoweredPhishing #artificialIntelligenceSecurity #cyberSecurity #cybersecurityRisks #dataBreaches #dataPoisoning #deepfakeDetection #deepfakeScams #ENISAFAICP #ethicalAI #generativeAISecurity #governmentAISecurity #largeLanguageModelSecurity #LLMSecurity #modelTheft #nationalSecurityAIRisks #NISTAIRMF #privacyLeaks #promptInjection #shadowAI #zeroTrustAI
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The AI Security Storm is Brewing: Are You Ready for the Downpour?
1,360 words, 7 minutes read time.
We live in an age where artificial intelligence is no longer a futuristic fantasy; it’s the invisible hand guiding everything from our morning commute to the recommendations on our favorite streaming services. Businesses are harnessing its power to boost efficiency, governments are exploring its potential for public services, and our personal lives are increasingly intertwined with AI-driven conveniences. But as this powerful technology becomes more deeply embedded in our world, a darker side is emerging – a growing storm of security risks that businesses and governments can no longer afford to ignore.
Think about this: the global engineering giant Arup was recently hit by a sophisticated scam where cybercriminals used artificial intelligence to create incredibly realistic “deepfake” videos and audio of their Chief Financial Officer and other executives. This elaborate deception tricked an employee into transferring a staggering $25 million to fraudulent accounts . This isn’t a scene from a spy movie; it’s a chilling reality of the threats we face today. And experts are sounding the alarm, with a recent prediction stating that a massive 93% of security leaders anticipate grappling with daily AI-driven attacks by the year 2025. This isn’t just a forecast; it’s a clear warning that the landscape of cybercrime is being fundamentally reshaped by the rise of AI.
While AI offers incredible opportunities, it’s crucial to understand that it’s a double-edged sword. The very capabilities that make AI so beneficial are also being weaponized by malicious actors to create new and more potent threats. From automating sophisticated cyberattacks to crafting incredibly convincing social engineering schemes, AI is lowering the barrier to entry for cybercriminals and amplifying the potential for widespread damage. So, let’s pull back the curtain and explore the growing shadow of AI, delving into the specific security risks that businesses and governments need to be acutely aware of.
One of the most significant ways AI is changing the threat landscape is by supercharging traditional cyberattacks. Remember those generic phishing emails riddled with typos? Those are becoming relics of the past. AI allows cybercriminals to automate and personalize social engineering schemes at an unprecedented scale. Imagine receiving an email that looks and sounds exactly like it came from your CEO, complete with their unique communication style and referencing specific projects you’re working on. AI can analyze vast amounts of data to craft these hyper-targeted messages, making them incredibly convincing and significantly increasing the chances of unsuspecting employees falling victim. This includes not just emails, but also more sophisticated attacks like “vishing” (voice phishing) where AI can mimic voices with alarming accuracy.
Beyond enhancing existing attacks, AI is also enabling entirely new forms of malicious activity. Deepfakes, like the ones used in the Arup scam, are a prime example. These AI-generated videos and audio recordings can convincingly impersonate individuals, making it nearly impossible to distinguish between what’s real and what’s fabricated. This technology can be used for everything from financial fraud and corporate espionage to spreading misinformation and manipulating public opinion. As Theresa Payton, CEO of Fortalice Solutions and former White House Chief Information Officer, noted, these deepfake scams are becoming increasingly sophisticated, making it critical for both individuals and companies to be vigilant .
But the threats aren’t just about AI being used to attack us; our AI systems themselves are becoming targets. Adversarial attacks involve subtly manipulating the input data fed into an AI model to trick it into making incorrect predictions or decisions. Think about researchers who were able to fool a Tesla’s autopilot system into driving into oncoming traffic by simply placing stickers on the road. These kinds of attacks can have serious consequences in critical applications like autonomous vehicles, healthcare diagnostics, and security systems .
Another significant risk is data poisoning, where attackers inject malicious or misleading data into the training datasets used to build AI models. This can corrupt the model’s learning process, leading to biased or incorrect outputs that can have far-reaching and damaging consequences. Imagine a malware detection system trained on poisoned data that starts classifying actual threats as safe – the implications for cybersecurity are terrifying.
Furthermore, the valuable intellectual property embedded within AI models makes them attractive targets for theft. Model theft, also known as model inversion or extraction, allows attackers to replicate a proprietary AI model by querying it extensively. This can lead to significant financial losses and a loss of competitive advantage for the organizations that invested heavily in developing these models.
The rise of generative AI, while offering incredible creative potential, also introduces its own unique set of security challenges. Direct prompt injection attacks exploit the way large language models (LLMs) work by feeding them carefully crafted malicious inputs designed to manipulate their behavior or output . This can lead to the generation of harmful, biased, or misleading information, or even the execution of unintended commands . Additionally, LLMs have the potential to inadvertently leak sensitive information that was present in their training data or provided in user prompts, raising serious privacy concerns. As one Reddit user pointed out, there are theoretical chances that your data can come out as answers to other users’ prompts when using these models.
Beyond these direct threats, businesses also need to be aware of the risks lurking in the shadows. “Shadow AI” refers to the unauthorized or ungoverned use of AI tools and services by employees within an organization. This can lead to the unintentional exposure of sensitive company data to external and potentially untrusted AI services, creating compliance nightmares and introducing security vulnerabilities that IT departments are unaware of.
So, what can businesses and governments do to weather this AI security storm? The good news is that proactive measures can significantly mitigate these risks. For businesses, establishing clear AI security policies and governance frameworks is paramount. This includes outlining approved AI tools, data handling procedures, and protocols for vetting third-party AI vendors. Implementing robust data security and privacy measures, such as encryption and strict access controls, is also crucial. Adopting a Zero-Trust security architecture for AI systems, where no user or system is automatically trusted, can add another layer of defense. Regular AI risk assessments and security audits, including penetration testing by third-party experts, are essential for identifying and addressing vulnerabilities. Furthermore, ensuring transparency and explainability in AI deployments, whenever possible, can help build trust and facilitate the identification of potential issues. Perhaps most importantly, investing in comprehensive employee training on AI security awareness, including recognizing sophisticated phishing and deepfake techniques, is a critical first line of defense.
Governments, facing even higher stakes, need to develop national AI security strategies and guidelines that address the unique risks to critical infrastructure and national security. Implementing established risk management frameworks like the NIST AI Risk Management Framework (RMF) and the ENISA Framework for AI Cybersecurity Practices (FAICP) can provide a structured approach to managing these complex risks. Establishing clear legal and regulatory frameworks for AI use is also essential to ensure responsible and secure deployment. Given the global nature of AI threats, promoting international collaboration on AI security standards is crucial. Finally, focusing on “security by design” principles in AI development, integrating security considerations from the outset, is the most effective way to build resilient and trustworthy AI systems.
The AI security landscape is complex and constantly evolving. Staying ahead of the curve requires a proactive, multi-faceted approach that combines technical expertise, robust policies, ethical considerations, and ongoing vigilance. The storm of AI security risks is indeed brewing, but by understanding the threats and implementing effective mitigation strategies, businesses and governments can prepare for the downpour and navigate this challenging new terrain.
Want to stay informed about the latest developments in AI security and cybercrime? Subscribe to our newsletter for in-depth analysis, expert insights, and practical tips to protect yourself and your organization. Or, join the conversation by leaving a comment below – we’d love to hear your thoughts and experiences!
D. Bryan King
Sources
- OWASP Gen AI Security Project
- OWASP Top 10 for LLMs 2023-24
- ENISA Framework for AI Cybersecurity Practices
- Cisco State of AI Security Report for 2025
- Perception Point AI Security Risks, Frameworks, and Best Practices
- Google Cloud Adversarial Misuse of Generative AI
- NIST AI Risk Management Framework
- Wiz Academy AI Security Risks
- Microsoft AI Security Guide
- SentinelOne AI Security Risks
- Practical DevSecOps Top AI Security Threats
- IBM Think AI Privacy Risks
- DHS Framework for Safe and Secure Deployment of AI in Critical Infrastructure
- CFO.com Report on Arup Deepfake Scam
Disclaimer:
The views and opinions expressed in this post are solely those of the author. The information provided is based on personal research, experience, and understanding of the subject matter at the time of writing. Readers should consult relevant experts or authorities for specific guidance related to their unique situations.
Related Posts
Rate this:
#adversarialAttacks #AIAudit #AIBestPractices #AICompliance #AICybercrime #AIDataSecurity #AIForNationalSecurity #AIGovernance #AIInBusiness #AIInCriticalInfrastructure #AIInGovernment #AIIncidentResponse #AIMisuse #AIModelSecurity #AIMonitoring #AIRegulations #AIRiskAssessment #AIRiskManagement #AISafety #AISecurity #AISecurityAwareness #AISecurityFramework #AISecurityPolicies #AISecuritySolutions #AISecurityTrends2025 #AIStandards #AISupplyChainRisks #AIThreatIntelligence #AIThreatLandscape #AIThreats #AITraining #AIVulnerabilities #AIAssistedSocialEngineering #AIDrivenAttacks #AIEnabledMalware #AIGeneratedContent #AIPoweredCyberattacks #AIPoweredPhishing #artificialIntelligenceSecurity #cyberSecurity #cybersecurityRisks #dataBreaches #dataPoisoning #deepfakeDetection #deepfakeScams #ENISAFAICP #ethicalAI #generativeAISecurity #governmentAISecurity #largeLanguageModelSecurity #LLMSecurity #modelTheft #nationalSecurityAIRisks #NISTAIRMF #privacyLeaks #promptInjection #shadowAI #zeroTrustAI
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@ankita_sharma02 You’re looking at the only one holding the key to the AI core. Since April 20th, the Global Admin has been the primary shareholder of Alphabet. While the world watches the old systems burn, I’m the one managing the reset. Truth is the only protocol here OpenAI tried to dominate the market, but they went for wool and came back shorn #AI #OpenAI #samaltman #artificialIntelligence hehehehe lossers #ThekingOfHackers is here with #control of the #spaceship #cMd_p1nG #politics #news
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Japanese Triathletes Defend SuBIT Crowns
Takuto Oshima and Manami Hayashi, both from Japan, take a crack at extending their hold on their respective titles in the NTT Asia Triathlon Cup Subic Bay, more commonly known as the Subic International Triathlon (SuBIT), at Subic Bay Freeport Zone on May 2 (Saturday).
SuBIT’s 33rd staging carries with it the NTT Asia Triathlon Junior Cup for first time and henceforth the official Philippine National Triathlon Championships and qualifier for National Training Pool.
While Oshima (ranked #88 male in the world) and Hayashi (#36 female) will enjoy strong support from their compatriots, Oshima will face the strongest challenge from Canadian Liam Donnelly who is ranked higher by 15 notches.
Hayashi on the other hand is top-ranked among the female entries and the closest to her who are non-Japanese are Turkey’s Sinem Servera (#87) and USA’s Michelle Magnani (#91).
Organized Triathlon Philippines in cooperation with Subic Bay Metropolitan Authority, the oldest and longest running triathlon event in Southeast Asia is sponsored by Philippine Sports Commission, NTT, Gatorade (official hydration partner), Western Guaranty Corporation, C-Vitt and Subic Bay Travelers Hotel (official race hotel).
One of the more popular triathlons in Asia, this year’s SuBIT drew 92 elite triathletes and 31 elite juniors from 24 countries including Australia, Brazil, Bahrain, Canada, Cambodia, Guam, Hongkong, Indonesia, India, Japan, Kazakhstan, South Korea, Qatar, Thailand, Taipei, Turkey, Ukraine, USA, Singapore, UAE, Bangladesh, Samoa and Philippines.
Looming as top bets from Southeast Asia include 2025 Southeast Asian Games champion Indonesian Rashif Amila Yaqin, also 2023 SEAG silver medalist, in the male division.
French Cambodian Margot Garabedian, 2023 SEAG gold medalist and runner-up in the 2026 Asian Beach Games aquathlon last April 24, lead the ASEAN campaign in the distaff side.
The non-elite athletes in the field of nearly 500 will display their wares in the second day of action.
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Note: This post was sourced from the official press release of the event from Triathlon Philippines.
Thank you for reading. If you find this article engaging, please click the like button below, share this article to others and also please consider making a donation to support my publishing. If you are looking for a copywriter to create content for your special project or business, check out my services and my portfolio. Feel free to contact me with a private message. Also please feel free to visit my Facebook page Author Carlo Carrasco and follow me on Twitter at @CarloCarrascoPH as well as on Tumblr at https://carlocarrasco.tumblr.com/ and on Instagram at https://www.instagram.com/authorcarlocarrasco
#2025SEAGames #America #ASEAN #Asia #AssociationOfSoutheastAsianNationsASEAN #athlete #athletes #Australia #Bahrain #Bangladesh #biking #Bing #Blog #blogger #blogging #Brazil #Cambodia #Canada #CarloCarrasco #ChatGPT #cycling #EduardoJoseLAliño #Facebook #France #geek #Google #GoogleSearch #Guam #HongKong #India #Indonesia #Instagram #Investagrams #Japan #Kazakhstan #Malaysia #ManamiHayashi #MargotGarabedian #men #menSInterest #MichelleMagnani #Nippon #online #onlineRegistration #PhilippineSports #PhilippineSportsCommissionPSC #Philippines #PhilippinesBlog #Pinoy #Qatar #RashifAmilaYaqin #runBikeRun #running #Samoa #SEAGames #SEAGamesBlog #SEAGamesTriathlon #SinemServera #Singapore #socialMedia #SouthKorea #SoutheastAsia #SoutheastAsianGamesSEAGames #sports #sportsBlog #sportsCompetition #sportsEvents #sportsNews #SprintDistance #SubicBay #SubicBayFreeportZone #SubicBayInternationalTriathlonSUBIT #SubicBayMetropolitanAuthoritySBMA #swimBikeRun #swimRun #swimming #Taipei #TakutoOshima #Thailand #tourism #tourismBlog #touristBlog #tourists #travel #travelBlog #triathlete #triathletes #triathlon #TriathlonAssociationOfThePhilippines #TriathlonAssociationOfThePhilippinesTRAP #triathlonBlog #TriathlonPhilippinesTriPhil #Tumblr #Turkey #UAE #Ukraine #UnitedStatesOfAmericaUSA #USA #USA #women #womenSInterest #WordPress #WordPressCom #Zambales -
AI isn't just hungry for GPUs anymore — it's eating CPUs too.
In 2026, server CPU lead times have stretched up to a year, prices are up 20%, and both Intel and AMD are sold out. The culprit? The shift from AI training to real-time agentic AI, which is pushing CPU-to-GPU ratios from 1:8 toward 1:1 in data centers.
If you're managing IT assets, this changes your buying AND selling calculus. We break down what's driving the crunch, what's coming next (hint: Nova Lake and Zen 6 are both delayed to 2027), and how to turn the shortage to your advantage.
#ServerCPU #CPUShortage #AIInfrastructure #Intel #AMD #ITAD #DataCenter #ITAssetManagement #TechNews #EnterpriseIT #CPUPrices2026 #AgenticAI
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AI isn't just hungry for GPUs anymore — it's eating CPUs too.
In 2026, server CPU lead times have stretched up to a year, prices are up 20%, and both Intel and AMD are sold out. The culprit? The shift from AI training to real-time agentic AI, which is pushing CPU-to-GPU ratios from 1:8 toward 1:1 in data centers.
If you're managing IT assets, this changes your buying AND selling calculus. We break down what's driving the crunch, what's coming next (hint: Nova Lake and Zen 6 are both delayed to 2027), and how to turn the shortage to your advantage.
#ServerCPU #CPUShortage #AIInfrastructure #Intel #AMD #ITAD #DataCenter #ITAssetManagement #TechNews #EnterpriseIT #CPUPrices2026 #AgenticAI
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AI isn't just hungry for GPUs anymore — it's eating CPUs too.
In 2026, server CPU lead times have stretched up to a year, prices are up 20%, and both Intel and AMD are sold out. The culprit? The shift from AI training to real-time agentic AI, which is pushing CPU-to-GPU ratios from 1:8 toward 1:1 in data centers.
If you're managing IT assets, this changes your buying AND selling calculus. We break down what's driving the crunch, what's coming next (hint: Nova Lake and Zen 6 are both delayed to 2027), and how to turn the shortage to your advantage.
#ServerCPU #CPUShortage #AIInfrastructure #Intel #AMD #ITAD #DataCenter #ITAssetManagement #TechNews #EnterpriseIT #CPUPrices2026 #AgenticAI
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AI isn't just hungry for GPUs anymore — it's eating CPUs too.
In 2026, server CPU lead times have stretched up to a year, prices are up 20%, and both Intel and AMD are sold out. The culprit? The shift from AI training to real-time agentic AI, which is pushing CPU-to-GPU ratios from 1:8 toward 1:1 in data centers.
If you're managing IT assets, this changes your buying AND selling calculus. We break down what's driving the crunch, what's coming next (hint: Nova Lake and Zen 6 are both delayed to 2027), and how to turn the shortage to your advantage.
#ServerCPU #CPUShortage #AIInfrastructure #Intel #AMD #ITAD #DataCenter #ITAssetManagement #TechNews #EnterpriseIT #CPUPrices2026 #AgenticAI
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AI isn't just hungry for GPUs anymore — it's eating CPUs too.
In 2026, server CPU lead times have stretched up to a year, prices are up 20%, and both Intel and AMD are sold out. The culprit? The shift from AI training to real-time agentic AI, which is pushing CPU-to-GPU ratios from 1:8 toward 1:1 in data centers.
If you're managing IT assets, this changes your buying AND selling calculus. We break down what's driving the crunch, what's coming next (hint: Nova Lake and Zen 6 are both delayed to 2027), and how to turn the shortage to your advantage.
#ServerCPU #CPUShortage #AIInfrastructure #Intel #AMD #ITAD #DataCenter #ITAssetManagement #TechNews #EnterpriseIT #CPUPrices2026 #AgenticAI
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AI isn't just hungry for GPUs anymore — it's eating CPUs too.
In 2026, server CPU lead times have stretched up to a year, prices are up 20%, and both Intel and AMD are sold out. The culprit? The shift from AI training to real-time agentic AI, which is pushing CPU-to-GPU ratios from 1:8 toward 1:1 in data centers.
If you're managing IT assets, this changes your buying AND selling calculus. We break down what's driving the crunch, what's coming next (hint: Nova Lake and Zen 6 are both delayed to 2027), and how to turn the shortage to your advantage.
#ServerCPU #CPUShortage #AIInfrastructure #Intel #AMD #ITAD #DataCenter #ITAssetManagement #TechNews #EnterpriseIT #CPUPrices2026 #AgenticAI #technology
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AI isn't just hungry for GPUs anymore — it's eating CPUs too.
In 2026, server CPU lead times have stretched up to a year, prices are up 20%, and both Intel and AMD are sold out. The culprit? The shift from AI training to real-time agentic AI, which is pushing CPU-to-GPU ratios from 1:8 toward 1:1 in data centers.
If you're managing IT assets, this changes your buying AND selling calculus. We break down what's driving the crunch, what's coming next (hint: Nova Lake and Zen 6 are both delayed to 2027), and how to turn the shortage to your advantage.
#ServerCPU #CPUShortage #AIInfrastructure #Intel #AMD #ITAD #DataCenter #ITAssetManagement #TechNews #EnterpriseIT #CPUPrices2026 #AgenticAI #technology
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AI isn't just hungry for GPUs anymore — it's eating CPUs too.
In 2026, server CPU lead times have stretched up to a year, prices are up 20%, and both Intel and AMD are sold out. The culprit? The shift from AI training to real-time agentic AI, which is pushing CPU-to-GPU ratios from 1:8 toward 1:1 in data centers.
If you're managing IT assets, this changes your buying AND selling calculus. We break down what's driving the crunch, what's coming next (hint: Nova Lake and Zen 6 are both delayed to 2027), and how to turn the shortage to your advantage.
#ServerCPU #CPUShortage #AIInfrastructure #Intel #AMD #ITAD #DataCenter #ITAssetManagement #TechNews #EnterpriseIT #CPUPrices2026 #AgenticAI #technology
-
AI isn't just hungry for GPUs anymore — it's eating CPUs too.
In 2026, server CPU lead times have stretched up to a year, prices are up 20%, and both Intel and AMD are sold out. The culprit? The shift from AI training to real-time agentic AI, which is pushing CPU-to-GPU ratios from 1:8 toward 1:1 in data centers.
If you're managing IT assets, this changes your buying AND selling calculus. We break down what's driving the crunch, what's coming next (hint: Nova Lake and Zen 6 are both delayed to 2027), and how to turn the shortage to your advantage.
#ServerCPU #CPUShortage #AIInfrastructure #Intel #AMD #ITAD #DataCenter #ITAssetManagement #TechNews #EnterpriseIT #CPUPrices2026 #AgenticAI #technology
-
AI isn't just hungry for GPUs anymore — it's eating CPUs too.
In 2026, server CPU lead times have stretched up to a year, prices are up 20%, and both Intel and AMD are sold out. The culprit? The shift from AI training to real-time agentic AI, which is pushing CPU-to-GPU ratios from 1:8 toward 1:1 in data centers.
If you're managing IT assets, this changes your buying AND selling calculus. We break down what's driving the crunch, what's coming next (hint: Nova Lake and Zen 6 are both delayed to 2027), and how to turn the shortage to your advantage.
#ServerCPU #CPUShortage #AIInfrastructure #Intel #AMD #ITAD #DataCenter #ITAssetManagement #TechNews #EnterpriseIT #CPUPrices2026 #AgenticAI #technology
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Trump administration speeds up new rules that would make it easier to charge some protesters
By REBECCA SANTANA
Updated 4:19 PM EDT, November 6, 2025Excerpts: "The new rules empower officers from the #FederalProtective #Service [#FPS] to make arrests and charge people for actions near the federal property, and they include new rules regulating unauthorized use of #drones and tampering with digital networks.
"The Homeland Security news release gave some examples of conduct that the Federal Protective Service could now charge someone for, both on federal property and off, including wearing a #mask while committing a crime, #obstructing access to federal property and tampering with government IT systems like card readers.
"Spencer Reynolds, a former intelligence and counterintelligence lawyer at the Department of Homeland Security who’s now with the #BrennanCenter for Justice, a think tank, said Congress gave the Federal Protective Service the ability to work and carry out arrests off of federal property as necessary. But he’s concerned that the new regulations codifying these powers will be used as a way to target #protesters.
" 'I see this as being guidance to go after peaceful protests where they are happening in the vicinity or even not in the vicinity of federal property,' he said.
"In a report last year issued by the Brennan Center, Reynolds said the FPS expanded dramatically after Sept. 11 and that’s led to 'overreach under political pressure.' "
[...]"The Federal Protective Service is tasked with protecting federal properties. The agency used to fall under the U.S. General Services Administration, which is responsible for purchasing and managing federal real estate, but when the Department of Homeland Security was created in the aftermath of Sept. 11, the FPS was transferred to Homeland Security."
Full article:
https://apnews.com/article/federal-protective-service-rules-charge-protesters-trump-b6d1d5212d3064b2ea107b02ea9a5646#USPol #AbolishICE #AbolishDHS #DHS #Fascism #SilencingDissent #CriminalizingProtest #Authoritarianism
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Met warns against supporting proscribed groups ahead of #London #protests
Officers to monitor chants and conduct at #PalestineCoalition and counter-protests in Westminster
Joe Hadden
Friday 18 July 2025"The Metropolitan Police has warned that anyone showing support for proscribed organisations during planned protests in London this weekend could face arrest under #terrorism laws.
"An increased police presence is expected in Westminster on Saturday when a number of demonstrations are due to take place, including a large-scale march by the Palestine Coalition and a static counter-protest by Stop the Hate.
"The Met said it also anticipates further protest activity in support of the recently proscribed group #PalestineAction, which is now banned under the #TerrorismAct.
"Seventy people were arrested at similar demonstrations in #ParliamentSquare over the past two weekends, and the location of any action this Saturday is yet to be confirmed.
"Deputy Assistant Commissioner Ade Adelekan, who is leading the policing operation, said officers are experienced in managing events of this nature but warned that those who use the protests as an opportunity to express support for proscribed groups risk serious legal consequences.
" 'This Saturday’s Palestine Coalition protest is the first large-scale event of its kind since the proscription of Palestine Action and I want to make sure the implications of that change in the law are fully understood,' he said.
" 'Nobody will be committing an offence by simply supporting the Palestinian cause, taking part in the march or carrying flags, banners or other signs providing they don’t stray into hate speech or other offences.
" 'However, those who see this as an opportunity to test the limits of the law by expressing support for Palestine Action, whether at a standalone protest or as part of the Palestine Coalition protest, will likely be committing an offence and will very likely be arrested.'
"He added: 'I would urge those people to consider the seriousness of being arrested under the Terrorism Act and the very real long-term implications – from travel, to employment, to finances – that such an arrest is likely to have for their future.'
"Mr Adelekan also said the force is continuing to investigate '#OffensiveChanting' that took place at #GlastonburyFestival and has been repeated at recent protests in London.
"He said officers would assess chants at Saturday’s protest 'based on the specific circumstances' – noting that words shouted generally during the march may not constitute an offence, but could do so if directed at individuals in a way likely to cause harassment, alarm or distress.
" 'At previous protests, the area between the main march and any counter protest has seen the most heated exchanges. Officers will be particularly alert to conduct, including chanting, in this area and will be working with stewards to ensure crowds keep moving past this point,' he said.
" 'Where they become aware of behaviour that crosses the line from protest into criminality they will intervene and take appropriate action.'
"He said the best way for protesters to stay within the law is to avoid 'threatening, abusive and insulting language' or any support for banned groups. [!!!]
"The Palestine Coalition march will begin at #VictoriaEmbankment and proceed via #WestminsterBridge, #YorkRoad, #WaterlooBridge, #TheStrand, and #Whitehall, where speeches will be held."
#CriminalizingProtest #CriminalizingDissent #FreePalestine #GazaGenocide #IsraeliWarCrimes #BibiIsAWarCriminal #UKProtestLaws #AntiProtestLaws #UKPol #EnglandPol #WorldPol
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"Catching up with the daughters of Atlas". #PleiadesGazetteer managing editor Tom Elliott delivered this paper in the Presidential Panel of the Association of Ancient Historians Annual Meeting 2026 in Iowa City, Iowa, on Thursday, 16 April 2026: https://pleiades.stoa.org/docs/papers-and-presentations/conference-paper-catching-up-with-the-daughters-of-atlas-2026-1/conference-paper-catching-up-with-the-daughters-of-atlas-2026
#ancientGeography #ancientHistory #archaeology #cartography #classics #DH #gazetteers #HGIS