#chat-gpt — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #chat-gpt, aggregated by home.social.
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LLMのローカル実行ツール「Ollama」v0.34、「ChatGPT」デスクトップアプリに対応／「ChatGPT」（Codex）アプリでオープンモデルを選択可能。ただし……
https://forest.watch.impress.co.jp/docs/news/2140699.html#forest_watch_impress #ChatGPT #Codex #ローカルAI #Ollama #genai #AIエージェント #GPT
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ChatGPT boss Sam Altman reveals the two ways AI progress ‘could go very badly’
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When ChatGPT or Claude says “Searching the web…”, is the AI model actually browsing the internet?
Not exactly.
The model can request a tool. The surrounding infrastructure performs the real web search/API call, sends the results back, and the model interprets them.
User → Model → Tool → Web/API → Results → Model → Answer
That's one of the key ideas behind modern AI agents.
Read the full article in the comment section
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💬 NOUVELLE BD : « Affichages amateurs »
Aaaah, les affiches faites par des personnes qui n'y connaissent rien en graphisme… c'est moi, ou ça a changé ?
▶️ https://grisebouille.net/affichages-amateurs
#BD #oc #inkscape #humour #GriseBouille #affiche #AIslop #chIAsse #IA #ChatGPT #afficheIA #stopIA #WordArt #ComicSans -
heise+ | ChatGPT, Claude und Gemini: KI-Token sparen, Kosten senken
Projektwissen, Gedächtnis, MCP-Server: Manch ein KI-Projekt schleppt Tokenfresser mit, die es nicht benötigt. So steuern Sie den Tokenverbrauch.
#API #ChatGPT #Claude #IT #KünstlicheIntelligenz #Wirtschaft #news
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Elite Networks, Foreign Influence and Public Accountability, Verify AI-generated content critically. #ChatGPT Llewelyn Pritchard 1 May 2026
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OXFORD & EPSTEIN HUB - MAPPING ELITE CONNECTIONS Documented relationships, institutional links and overlapping elite networks not a presumption of criminal complicity Evidence informs. Systems explain. #ChatGPT Llewelyn Pritchard 28 August 2026
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Rising and stabilising living costs - Verify AI-generated content critically. #ChatGPT Llewelyn Pritchard 17 April 2026
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Fossil fuel lock-in Verify AI-generated content critically. #ChatGPT Llewelyn Pritchard 17 April 2026
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Doomsday #tech: could #AI really kill us all?
"“Te people building AI earnestly believe tt it could kill us all by te end of te decade,” said fmr #Anthropic's #Coxon, who previously worked at #ChatGPT maker #OpenAI. He accused both companies of “gambling with our lives”🤬.. “Maybe it will take a massive, Chernobyl-scale #disaster to get #governments to #act”😱 Russell said, urging them to establish a #licensing #regime for AI, as exists w aviation, medicine or water supply"
https://www.bangkokpost.com/world/3318024/doomsday-tech-could-ai-really-kill-us-all -
Los cuatro gigantes de la IA piden frenar desarrollos y Trump desprecia el riesgo https://www.eldiario.es/economia/cuatro-gigantes-ia-piden-frenar-desarrollos-trump-desprecia-riesgo_1_13506750.html Serafí del Arco #Inteligenciaartificial #EstadosUnidos #DonaldTrump #Anthropic #ElonMusk #ChatGPT #OpenAI #Google #China
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OpenAI aplaza su salida a bolsa ante el miedo al descontrol de la IA y se suma al plan de frenar desarrollos https://www.eldiario.es/economia/openai-anuncia-no-saldra-bolsa-ano-riesgos-ia-seria-aconsejable_1_13506626.html Europa Press #Inteligenciaartificial #ChatGPT #OpenAI #Bolsa
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https://winbuzzer.com/2026/09/13/chatgpt-images-25-promises-more-consistent-edits-xcxwbn/
OpenAI's ChatGPT Images 2.5 model preserves more original details when users revise an image’s setting, style or composition.
#AI äOpenAI #ChatGPT #GenAI #ChatGPTImages25
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Preview of the Sonic Fauna User Guide. Had this code sitting around for generating docs from YAML files from a few years ago. Used #Codex to upgrade it to #Vue3. Also got help with writing the docs using #ChatGPT. I'm not a huge fan of LLMs for coding. Saves time for this kind of work though. #dev #indiedev #sonicfauna #music #experimental #llms
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AI May Be on Verge of Causing Internet Chaos, Economic Catastrophe — Warning from Top AI CEO
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Communication styles of BRICS countries within the SADC context is essential for making informed decisions, fostering effective collaborations, and successfully navigating the complex landscape of this regional bloc. It requires ongoing research, cultural awareness, and adaptability to thrive in the diverse and dynamic environments of these nations. @[email protected] ·RoboticsAfrica
The Next Contact
His Adventure on Earth
FROM E.T. TO THE MATRIX — AND NOW AI SOFTWARE
The evolution of technological anxiety
The interesting story is not that E.T. directly became The Matrix. It is that software and science fiction progressively changed the question we ask about technology.
1982: E.T. — Can we communicate with something beyond us?
1982: Blade Runner — What does it mean to be human?
1982: Tron — Can humans enter the computer?
1990: Total Recall — Can our reality be manipulated?
1995: Ghost in the Shell — Where does human consciousness end and technology begin?
1999: The Matrix — What if the system controls the reality we experience?
2026: AI agents — What happens when software doesn’t merely respond, but acts?THE NEW SOFTWARE MATRIX
Software has gone through several major stages:
EraSoftware modelMain anxiety1980sMainframes & personal computersWill computers replace human work?1990sInternet & webCan information escape borders?2000sWeb platformsWho controls our digital identity?2010sSmartphones & appsAre we becoming permanently connected?2020sCloud + Big DataWho owns our data?2023–25Generative AIWho created this content?2026AI agentsWho is actually making the decision?The current transition is particularly important. Gartner’s 2026 technology outlook identifies AI-native development platforms, AI supercomputing, multiagent systems, domain-specific models, physical AI, digital provenance and AI security among its major strategic technology trends. (Gartner)
1. FROM SOFTWARE THAT WAITS → SOFTWARE THAT ACTS
This may be the biggest change.
Traditional software generally waits for an instruction:
Human → Click → Software → Result
AI-agent systems increasingly move toward:
Human → Goal → AI plans → AI uses tools → AI acts → Human reviews
Google Cloud describes 2026 as a shift from simple prompts toward agents capable of orchestrating complex, end-to-end workflows. (blog.google)
That changes the psychological relationship with software.
The question is no longer simply:
“What does this software do?”
It becomes:
“What will this software decide to do?”
2. THE SOFTWARE DEVELOPER IS CHANGING
AI-assisted programming is moving from autocomplete toward systems that can help plan, write, test and modify software.
That creates enormous productivity potential—but also a new anxiety:
RED PILL
Understand the code.
Verify the result.
Test the system.
Question the AI.BLUE PILL
Accept the generated answer.
Deploy quickly.
Assume the system is correct.The danger is not that AI necessarily produces bad software. A 2026 State of Software report argues that AI can amplify existing engineering strengths and weaknesses: strong engineering practices can be accelerated, while poor discipline can accelerate technical debt, cost and security exposure. (SIG)
3. THE ALGORITHM BECOMES THE “INVISIBLE MANAGER”
This connects directly to your AI Anxiety poster.
Imagine applying for a job.
You submit:
CV → database → algorithm → score → recruiter
But you don’t see:
- what variables were weighted;
- what historical data trained the system;
- whether the data contained discrimination;
- why another candidate scored higher;
- whether a human actually reviewed your application.
That is where the Matrix metaphor becomes useful.
The modern “Matrix” does not have to be a giant computer controlling humanity.
It can be an invisible collection of:
databases + algorithms + APIs + AI models + ranking systems + recommendation engines + automated decisions.
4. SOFTWARE + SURVEILLANCE + DATA
The anxiety becomes even stronger when software knows:
where you are → what you search → what you buy → what you watch → who you communicate with → what you click.
AI can then potentially turn enormous quantities of data into predictions.
The central question becomes:
Are we using software—or is software increasingly predicting and influencing us?
That is a much more realistic modern version of the Matrix question.
5. CYBERSECURITY: AI FIGHTING AI
Cybersecurity is becoming another major part of the software story.
Gartner identifies agentic AI cybersecurity oversight as a major 2026 issue because organizations can accumulate AI agents and automated tools faster than they establish governance around them. (Gartner)
This produces a strange technological loop:
AI creates software → software creates vulnerabilities → AI finds vulnerabilities → AI defends software → AI attacks software.
The machine is increasingly fighting itself.
6. THE NEW RED PILL
The original Matrix question was:
“Do you want to know the truth?”
The 2026 software question could be:
“Do you understand how the system reached its decision?”
That gives us a new framework:
🔴 RED PILL — ALGORITHMIC AWARENESS
- Ask what data was used.
- Ask who designed the system.
- Ask who benefits.
- Test for bias.
- Demand explainability.
- Protect personal information.
- Keep meaningful human oversight.
🔵 BLUE PILL — ALGORITHMIC COMFORT
- “The computer said so.”
- “The AI knows.”
- “The score must be correct.”
- “Nobody needs to understand the model.”
- “Automation is automatically objective.”
7. THE 2026 SOFTWARE MATRIX
The software industry is moving toward AI-first products and agentic systems. Deloitte’s 2026 software outlook describes increasing pressure on software companies to move from simply adding AI features toward AI-first engineering and products. (Deloitte)
So your evolution can be presented like this:
1982 — E.T.
👽 Encounter
1982 — Blade Runner
🤖 Identity
1982 — Tron
💻 Digital world
1990 — Total Recall
🔴 Question reality
1995 — Ghost in the Shell
🧠 Human + machine
1999 — The Matrix
🔴🔵 Choose reality
2010s — Smartphones
📱 Always connected
2020s — Generative AI
🤖 Machines generate
2026 — AI Agents
⚙️ Machines act
Next question
🌍 Who governs the machine?
THE BIG IDEA FOR YOUR DOCUMENT
The strongest conclusion is not “AI is the Matrix.”
It is more sophisticated:
Science fiction warned us about machines controlling reality. Modern software gives us a different challenge: ensuring that increasingly powerful systems remain understandable, accountable and under meaningful human control.
That connects your E.T. → Matrix → AI anxiety idea to actual software trends rather than treating the films as literal predictions.
The real red pill is not fear of technology.
It is the willingness to understand it.🌍 THE ANXIETY OF CODING IN THE AI AGE
When Children Grow Up in a World Where AI Can Write the Code
The next generation may face a strange contradiction.
We are giving children more powerful software than any previous generation — while simultaneously making them wonder whether they still need to learn how to code.
That is where GitHub Copilot becomes interesting.
GitHub Copilot is part of a broader shift toward AI-assisted software development. GitHub’s own recent material shows Copilot moving beyond simple autocomplete toward agents that can work across terminals, browsers, code review and multiple tasks. (The GitHub Blog)
🧠 THE NEW CHILDHOOD QUESTION
For a child growing up in a high-tech country, the question may no longer be:
“Can I learn to code?”
It could become:
“Why should I learn to code when AI can do it for me?”
That question matters.
Coding education traditionally teaches children computational thinking, debugging, logic, sequencing and problem-solving.
AI coding assistants can accelerate the production of software — but producing code and understanding software are not the same thing.
The danger is not necessarily that children stop coding.
The danger is that they stop understanding what they are asking machines to build.
🤖 FROM SOFTWARE TO PHYSICAL AI
Now take the same development beyond the laptop.
AI-generated software increasingly connects with the physical world:
Software → AI → sensors → robots → warehouses → logistics → transportation.
The World Economic Forum describes “physical AI” as a new phase of industrial automation in which AI coordinates physical systems, including mobile robots and industrial operations. (World Economic Forum)
This changes the scale of the conversation.
A young person isn’t simply learning to create a website anymore.
They could eventually be designing software controlling:
- autonomous warehouse robots
- delivery systems
- industrial machinery
- smart factories
- drones
- agricultural equipment
- transport networks
- energy systems
- medical devices
The programmer is becoming a systems designer.
🏭 THE HIGH-CAPACITY LOGISTICS MACHINE
Imagine a future logistics centre.
There may be:
10,000 packages → AI planning → hundreds of robots → automated sorting → autonomous transport → real-time inventory.
The software developer doesn’t necessarily touch every package.
They build the digital nervous system that coordinates the operation.
This is why software creators remain important even as AI writes more code.
🌉 SILICON VALLEY IS ONLY ONE PART OF THE STORY
Silicon Valley remains one of the world’s most influential technology ecosystems.
But the next technology race is global.
Think:
🇺🇸 UNITED STATES
AI models, cloud computing, software platforms and venture capital.
🇨🇳 CHINA
Robotics, manufacturing automation, AI infrastructure and industrial deployment.
🇯🇵 JAPAN
Robotics, precision manufacturing and industrial automation.
🇸🇬 SINGAPORE
Semiconductors, logistics, advanced manufacturing and digital infrastructure.
🇮🇳 INDIA
Software engineering, IT services, startups and increasingly AI development.
🇪🇺 EUROPE
Industrial automation, manufacturing, regulation and advanced engineering.
🇦🇪 GULF
Smart cities, logistics, AI infrastructure and massive digital investment.
🌍 AFRICA
A young population, growing digital markets, fintech, telecommunications, agriculture technology and a rapidly developing developer community.
Silicon Valley is a centre — not the whole map.
😰 THE ANXIETY IS REAL — BUT THE STORY IS MORE COMPLICATED
Recent Stanford research provides an important warning.
A revised August 2026 study by Erik Brynjolfsson, Bharat Chandar and Ruyu Chen found that employment among 22–25-year-olds in AI-exposed occupations was about 19% below the level expected from the trajectory of less-exposed peers. The researchers stress that this is an early descriptive indicator, not proof that AI alone caused the decline. (Stanford Digital Economy Lab)
The 2026 Stanford AI Index similarly reports that employment for software developers aged 22–25 has fallen nearly 20% from 2024. (Stanford HAI)
But this is not the same as saying software development is disappearing.
Stanford’s broader analysis also reports continued growth in software-development job postings and says there is no evidence of widespread economy-wide AI job displacement. (SIEPR)
So the emerging picture is more interesting:
AI may reduce some entry-level tasks while increasing the value of people who can direct, verify and integrate AI systems.
👨💻 WHAT SHOULD CHILDREN LEARN?
Instead of teaching children:
“Learn coding because you will become a programmer.”
Perhaps the message should become:
“Learn coding because you need to understand the machines shaping your world.”
Children should encounter:
Coding
↓
AI literacy
↓
Robotics
↓
Data
↓
Cybersecurity
↓
Systems thinking
↓
Entrepreneurship
↓
Real-world problem solvingThat creates something more powerful than a generation of programmers.
It creates a generation of technology creators.
🌍 WHAT DOES THIS MEAN FOR AFRICA?
Africa should not wait until Silicon Valley, Shenzhen or Tokyo has finished building the future.
A Namibian child should be able to learn how to build software for:
- Namibia’s logistics corridors
- mining operations
- agriculture
- water management
- tourism
- healthcare
- education
- fisheries
- renewable energy
- municipalities
- regional trade
The objective isn’t to produce cheap programmers for the global economy.
The objective should be to produce African technology owners.
🚨 THE BIG QUESTION
The real anxiety of coding isn’t:
“Will AI take coding away from children?”
It is:
“Will children become consumers of AI systems they don’t understand?”
That is a much bigger question.
Because if software becomes the infrastructure of logistics, finance, education, healthcare, manufacturing and government, understanding software becomes similar to understanding electricity or mathematics.
You don’t have to become an electrical engineer.
But you should understand what electricity does.
Likewise:
Not every child needs to become a software engineer.
But every child growing up in an AI-powered economy should have some understanding of how software, AI and automated systems work.
🇳🇦 FROM NAMIBIA TO THE WORLD
For Namibia, this creates an opportunity.
Instead of asking whether African children can compete with Silicon Valley, perhaps the better question is:
What problems can African children solve that Silicon Valley doesn’t experience every day?
Water scarcity.
Desert agriculture.
Long-distance logistics.
Remote healthcare.
Mining safety.
Cross-border trade.
Rural connectivity.
Climate resilience.
These are enormous software-and-robotics problems.
The future programmer may not sit in Silicon Valley.
They could be sitting in Windhoek, Rundu, Lusaka, Nairobi, Kigali, Lagos, Accra or Johannesburg.
And perhaps the most important skill won’t be writing every line of code.
It will be knowing what should be built — and why.
PLNABLOG | TECHNOLOGY • CHILDREN • AI • AFRICA
THE ANXIETY OF CODING
From GitHub Copilot to autonomous logistics — the world is moving from software creation to AI-directed systems.
The question for Africa isn’t whether the machines are coming.
The question is: Who will build them?
By Joshua Shipepe Hadula
PLNABLOG | One Africa • Technology • InnovationGitHub Copilot
#AI #artificialIntelligence #chatgpt #philosophy #technology
Stanford Digital Economy Lab
Stanford AI Index 2026 -
Analyysi: Tekoälyjohtajat varoittavat ihmiskunnan tuhosta – onko kyse huolesta vai markkinoinnista?
Tekoäly-yhtiöiden avainhenkilöt maalailevat nyt uhkakuvia, joissa heidän omat keksintönsä voivat tuhota ihmiskunnan. Tuholla pelottelu voi olla myös keino markkinoida, kirjoittaa Ylen taloustoimittaja Ville Kolari.
#Teknologia #Tietojenkäsittelytieteet #Ihmiskunta #Talous #Chatgpt #Piilaakso #Koneoppiminen #Openai #Tekoälynetiikka #Tekoälytutkija
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Filtros de IA e ChatGPT levam pacientes aos consultórios de cirurgia plástica com fotos irreais. A popularização de ferramentas de edição e modelos de inteligência artificial está a transformar a forma como as pessoas encaram a própria imagem. 🤖
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How many warnings from people who actually know about the risks are we going to ignore? - imagine someone saying this about medical, food research or gene editing. In the U.K our politicians have voted against assisted dying for people going through immense suffering, but greedy tech bros ending the entire world, no problem.
"I believe that if we don't slow down at the current rate of progress, there is a strong chance that we could all die in the immediate future," he said.
#politics #ukpolitics #bbc #news #ai #artificialintelligence #openai #palantir #anthropic #Tech #technology #aiagents #samaltman #chatgpt
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CW: CW ChatGPT
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Michael Lines, who has bipolar I disorder, sued OpenAI alleging that ChatGPT contributed to his religious delusions and a manic spiral in which he believed he was Jesus.
Source: Rappler Technology
https://www.rappler.com/technology/features/tech-thoughts-jurassic-parkification-ai-chatbots/ -
Has anyone looked at any applications to monitor LLM, agent and vibe-coding usage?
The monitor should look at security issues in vibe-coded apps, problematic usage of agents and data protection.
I am looking at MintMCP as a candidate and Microsoft Purview should be able to fix a couple of the issues.#llm #infosec #mcp #security #cybeesecurity #Claude #chatgpt #copilot #mistral
