#agenticai — Public Fediverse posts

"As AI agents become more integrated into the economy, companies and entities that deploy them will benefit disproportionately compared to those that cannot, Nick Srnicek, a senior lecturer in digital economy at King’s College London, told Rest of World.

“We will see new inequalities of access, scale, quality and trust: divides between those who have agents and those who don’t; those who have good agents and those who have bad agents; those who have many agents and those who have few agents; and those who can trust their agents and those who cannot,” he said.

Having access to agents that outpace others means “the outcomes of negotiations and transactions will be structurally biased towards those with greater access,” Srnicek said. “Agentic inequality can harden into systems of dominance.”

AI-powered agents and robots could generate about $2.9 trillion in economic value per year in the U.S. by 2030, McKinsey said in a report last year: “Work in the future will be a partnership between people, agents, and robots — all powered by AI.”"

https://restofworld.org/2026/ai-agent-inequality/

#AI #GenerativeAI #AIAgents #AgenticAI #Inequality #India #DigitalDivide

"As AI agents become more integrated into the economy, companies and entities that deploy them will benefit disproportionately compared to those that cannot, Nick Srnicek, a senior lecturer in digital economy at King’s College London, told Rest of World.

“We will see new inequalities of access, scale, quality and trust: divides between those who have agents and those who don’t; those who have good agents and those who have bad agents; those who have many agents and those who have few agents; and those who can trust their agents and those who cannot,” he said.

Having access to agents that outpace others means “the outcomes of negotiations and transactions will be structurally biased towards those with greater access,” Srnicek said. “Agentic inequality can harden into systems of dominance.”

AI-powered agents and robots could generate about $2.9 trillion in economic value per year in the U.S. by 2030, McKinsey said in a report last year: “Work in the future will be a partnership between people, agents, and robots — all powered by AI.”"

https://restofworld.org/2026/ai-agent-inequality/

#AI #GenerativeAI #AIAgents #AgenticAI #Inequality #India #DigitalDivide

"As AI agents become more integrated into the economy, companies and entities that deploy them will benefit disproportionately compared to those that cannot, Nick Srnicek, a senior lecturer in digital economy at King’s College London, told Rest of World.

“We will see new inequalities of access, scale, quality and trust: divides between those who have agents and those who don’t; those who have good agents and those who have bad agents; those who have many agents and those who have few agents; and those who can trust their agents and those who cannot,” he said.

Having access to agents that outpace others means “the outcomes of negotiations and transactions will be structurally biased towards those with greater access,” Srnicek said. “Agentic inequality can harden into systems of dominance.”

AI-powered agents and robots could generate about $2.9 trillion in economic value per year in the U.S. by 2030, McKinsey said in a report last year: “Work in the future will be a partnership between people, agents, and robots — all powered by AI.”"

https://restofworld.org/2026/ai-agent-inequality/

#AI #GenerativeAI #AIAgents #AgenticAI #Inequality #India #DigitalDivide

"As AI agents become more integrated into the economy, companies and entities that deploy them will benefit disproportionately compared to those that cannot, Nick Srnicek, a senior lecturer in digital economy at King’s College London, told Rest of World.

“We will see new inequalities of access, scale, quality and trust: divides between those who have agents and those who don’t; those who have good agents and those who have bad agents; those who have many agents and those who have few agents; and those who can trust their agents and those who cannot,” he said.

Having access to agents that outpace others means “the outcomes of negotiations and transactions will be structurally biased towards those with greater access,” Srnicek said. “Agentic inequality can harden into systems of dominance.”

AI-powered agents and robots could generate about $2.9 trillion in economic value per year in the U.S. by 2030, McKinsey said in a report last year: “Work in the future will be a partnership between people, agents, and robots — all powered by AI.”"

https://restofworld.org/2026/ai-agent-inequality/

#AI #GenerativeAI #AIAgents #AgenticAI #Inequality #India #DigitalDivide

"As AI agents become more integrated into the economy, companies and entities that deploy them will benefit disproportionately compared to those that cannot, Nick Srnicek, a senior lecturer in digital economy at King’s College London, told Rest of World.

“We will see new inequalities of access, scale, quality and trust: divides between those who have agents and those who don’t; those who have good agents and those who have bad agents; those who have many agents and those who have few agents; and those who can trust their agents and those who cannot,” he said.

Having access to agents that outpace others means “the outcomes of negotiations and transactions will be structurally biased towards those with greater access,” Srnicek said. “Agentic inequality can harden into systems of dominance.”

AI-powered agents and robots could generate about $2.9 trillion in economic value per year in the U.S. by 2030, McKinsey said in a report last year: “Work in the future will be a partnership between people, agents, and robots — all powered by AI.”"

https://restofworld.org/2026/ai-agent-inequality/

#AI #GenerativeAI #AIAgents #AgenticAI #Inequality #India #DigitalDivide

https://winbuzzer.com/2026/05/29/anthropic-ships-opus-48-with-dynamic-workflows-xcxwbn/

Anthropic has released Opus 4.8 and added Dynamic Workflows to Claude Code, bringing parallel subagents, resumable runs, and unchanged base pricing for teams.

#AI #Opus48 #DynamicWorkflows #ClaudeCode #Anthropic #Claude #GenAI #AIModels #AICoding #AIAgents #AgenticAI #EnterpriseAI

オンプレミスのAIエージェントを構築できる「Dell Deskside Agentic AI」（PC Watch） https://www.yayafa.com/2810093/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #エージェント型AI #人工知能 #汎用人工知能

OpenAIが選挙対策を本格化、ChatGPTにAP通信の開票データ導入＆ディープフェイク規制法案も支持 – GIGAZINE https://www.yayafa.com/2810091/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #OpenAI #エージェント型AI #人工知能 #汎用人工知能

「残高教えて」ChatGPTに話しかけるだけ　マネーツリー、「Apps in ChatGPT」対応 – ITmedia AI＋ https://www.yayafa.com/2810089/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #ChatGPT #OpenAI #エージェント型AI #人工知能 #汎用人工知能 #活用事例

「残高教えて」ChatGPTに話しかけるだけ　マネーツリー、「Apps in ChatGPT」対応 – ITmedia AI＋ https://www.yayafa.com/2810089/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #ChatGPT #OpenAI #エージェント型AI #人工知能 #汎用人工知能 #活用事例

「残高教えて」ChatGPTに話しかけるだけ　マネーツリー、「Apps in ChatGPT」対応 – ITmedia AI＋ https://www.yayafa.com/2810089/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #ChatGPT #OpenAI #エージェント型AI #人工知能 #汎用人工知能 #活用事例

「残高教えて」ChatGPTに話しかけるだけ　マネーツリー、「Apps in ChatGPT」対応 – ITmedia AI＋ https://www.yayafa.com/2810089/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #ChatGPT #OpenAI #エージェント型AI #人工知能 #汎用人工知能 #活用事例

アンソピックがClaude Opus 4.8をリリース。OpenAIのGPT 5.5およびGoogleのGemini 3.1 Proを凌駕 https://www.yayafa.com/2810087/ #AgenticAi #AI #Anthropic #ArtificialGeneralIntelligence #ArtificialIntelligence #エージェント型AI #人工知能 #汎用人工知能

OrcaRouter、MCP Server機能を正式リリース ― Claude Code、Cursor、Windsurf等200+AIモデルへの統一アクセスを実現 https://www.yayafa.com/2810084/ #AgenticAi #AI #Anthropic #AnthropicClaude #ArtificialGeneralIntelligence #ArtificialIntelligence #claude #OrcaRouter、MCPServer機能を正式リリース―ClaudeCode、Cursor、Windsurf等200+AIモデルへの統一アクセスを実現 #PrTimes #エージェント型AI #サービス #サイト #ニュースリリース #プレスリリース #人工知能 #代行 #方法 #汎用人工知能 #配信

Google AI検索にも“優先ソース”機能を追加など 日刊出版ニュースまとめ 2026.05.29 | HON[.]jp News Blog https://www.yayafa.com/2810082/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #DeepMind #Gemini #Google #GoogleAI #GoogleDeepMind #GoogleGemini #エージェント型AI #人工知能 #汎用人工知能

ニュース 「AIは1つの質問の裏で最大33回検索する」Queue調査 – AI Watch https://www.yayafa.com/2810080/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #ChatGPT #DeepMind #Gemini #Google #GoogleAI #GoogleDeepMind #GoogleGemini #エージェント型AI #クエリファンアウト挙動 #テキスト・検索 #人工知能 #汎用人工知能 #生成AI

ニュース 「AIは1つの質問の裏で最大33回検索する」Queue調査 – AI Watch https://www.yayafa.com/2810080/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #ChatGPT #DeepMind #Gemini #Google #GoogleAI #GoogleDeepMind #GoogleGemini #エージェント型AI #クエリファンアウト挙動 #テキスト・検索 #人工知能 #汎用人工知能 #生成AI

ニュース 「AIは1つの質問の裏で最大33回検索する」Queue調査 – AI Watch https://www.yayafa.com/2810080/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #ChatGPT #DeepMind #Gemini #Google #GoogleAI #GoogleDeepMind #GoogleGemini #エージェント型AI #クエリファンアウト挙動 #テキスト・検索 #人工知能 #汎用人工知能 #生成AI

ニュース 「AIは1つの質問の裏で最大33回検索する」Queue調査 – AI Watch https://www.yayafa.com/2810080/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #ChatGPT #DeepMind #Gemini #Google #GoogleAI #GoogleDeepMind #GoogleGemini #エージェント型AI #クエリファンアウト挙動 #テキスト・検索 #人工知能 #汎用人工知能 #生成AI

プレスリリース：x3d株式会社、Microsoft Copilot特化型AI人材育成プログラム「x3d式 絶対に挫折させないAI Microsoft Copilotマスターズ」を公開（PR TIMES） https://www.yayafa.com/2810078/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #Copilot #Microsoft #MicrosoftAI #MicrosoftCopilot #エージェント型AI #人工知能 #汎用人工知能

スマートグラス「Ray-Ban Meta（GEN 2）」ファーストタッチ、便利に感じたポイントや使用上の注意点を紹介 – MoguLive https://www.yayafa.com/2810076/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #LLAMA #Meta #MetaAI #エージェント型AI #人工知能 #汎用人工知能

Jensen Huang氏が7カ月ぶりに韓国訪問へ　AI半導体の「盟友同盟」強化なるか — BigGo ファイナンス https://www.yayafa.com/2810074/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #CheyTaeWon #EuisunChung #GTCTaipei2026 #HyundaiMotorGroup #JensenHuang #KooKwangMo #LeeJaeYong #LGGroup #NAVER #NVIDIA #SamsungElectronics #SKHynix #VeraRubin #エージェント型AI #フィジカルAI #人工知能 #汎用人工知能 #高帯域幅メモリ（HBM）

Anthropic has released Opus 4.8 with a new Dynamic Workflows tool that coordinates swarms of subagents. The update brings agentic automation capabilities to the flagship model, allowing multiple AI agents to work together on complex multi-step tasks. https://techcrunch.com/2026/05/28/anthropic-releases-opus-4-8-with-new-dynamic-workflow-tool/ #AIagent #AI #GenAI #AgenticAI

Agentic AI Video Motion Graphics and HTML Presentations – Create Multimedia with Free Fast Web Dev Tools and AI

This post describes my recent experiments with #agenticai #vibecoding tools for creating #presentations and #video for #instructionaldesign.

https://tedcurran.net/2026/05/agentic-ai-video-motion-graphics-and-html-presentations-create-multimedia-with-free-fast-web-dev-tools-and-ai/

Standardise your toolchain. Sandbox your AI agents. Canonical just dropped Workshop to solve local workstation drift using LXD and plain-text YAML. https://www.developer-tech.com/news/how-canonical-workshop-improves-agentic-ai-sandboxing/ #devops #agenticai #developers #ai #technology

https://www.tkhunt.com/2348160/ Mistral Vibe: the agent for long-horizon work #AgenticAi #AI #ArtificialIntelligence #エージェント型AI #人工知能

Google is rebuilding its payments infrastructure for AI agents, not people. Here's what the new "Universal Commerce Protocol" means for enterprise retail. https://www.artificialintelligence-news.com/news/google-pay-ai-agents-universal-commerce-protocol/ #agenticai #retail #fintech #ecommerce #google #ai #technology

Google is rebuilding its payments infrastructure for AI agents, not people. Here's what the new "Universal Commerce Protocol" means for enterprise retail. https://www.artificialintelligence-news.com/news/google-pay-ai-agents-universal-commerce-protocol/ #agenticai #retail #fintech #ecommerce #google #ai #technology

AI and Compliance: The Most Boring Billion-Dollar Opportunity Nobody Is Talking About

The US compliance sector is massive, expanding rapidly, and heavily strained. It represents over $40 billion in annual labor spend with more than 400,000 officers. Despite ballooning teams, compliance work has remained stubbornly manual, bureaucratic, and paper-based (“schlep work”), leading to high employee churn (>20%) and massive backlogs (e.g., TD Bank’s $3B fine over a 70,000-alert backlog).

Here’s a weird data point:
Over the last 20 years, the fastest-growing occupation in the US was manicurists and pedicurists.

Right behind it?
Compliance Officers.

Not AI engineers. Not data scientists. Compliance officers.
That says something important about where the real work has been hiding.

The Problem Nobody Wanted to Solve

Compliance is painful. Bureaucratic. Paper-heavy. Repetitive.

Every dollar that moves through a business — payroll, taxes, payments, customer communications — is subject to some regulation somewhere.

More people didn’t fix it.
More tools didn’t fix it.
The work remained stubbornly, embarrassingly manual.

That’s the graveyard startups have been afraid to enter for decades.
So why is right now different?

The Threshold Has Shifted

There’s a thing that happens with technology that doesn’t get talked about enough:
Sometimes the market for something done very well is 100x the market for something done just okay.

Compliance is exactly that.
A 90% accurate product is still 100% wrong when you’re underwriting a mortgage or filing a suspicious activity report.

OCR has existed for 30 years. It was never good enough to trust with compliance work. Vision Language Models (VLMs) are. They understand context. They make fewer errors. They can read a 400-page regulatory PDF and reason over it.

That’s not an incremental improvement.
That’s crossing a threshold.
And once you cross it, enterprises can’t sign contracts fast enough.

Three Places AI Is Actually Winning Here

The compliance function is built from three ingredients:

1. Regulation — rules, policies, and the endless translation between them
2. Software — GRC platforms, screening tools, brittle automations to connect it all
3. People — clicking between systems, copying data, filling out forms

AI is now attacking all three.

1. Turn Regulation Into Code

Right now, a new rule lands as a PDF.
Someone has to read it. Interpret it. Translate it into internal policy. Monitor it for changes. Update the team.

That cycle takes quarters.

AI can convert a 400-page regulatory document into a structured, auto-updating, machine-readable set of obligations — in minutes.

Monitoring becomes continuous.
A regulatory change propagates across the organization in hours, not months.

2. Replace the Legacy Systems

Most compliance infrastructure predates the cloud.

The integration layer between these systems isn’t software.
It’s a person.
Copying. Pasting. Clicking.
That person is now the biggest obstacle to AI adoption.

You can’t layer AI on top of systems that were designed for humans to operate manually. The data is siloed. Rules are hardcoded. Workflows run in batches.

Example: Company X is replacing its one of the dominant transaction monitoring platforms. Their SAR (Suspicious Activity Report) agent automates 60–100 fields per entity, pulling from multiple systems. What used to take 30+ minutes per report now takes under a minute.

3. Augment the People Doing the Work

Not every company can rip and replace.
Not yet.

But you can put agents on top of what exists.

Computer-use agents can navigate legacy software the way a human does.
Log in.
Pull data.
Cross-reference.
Write the report. Without waiting for an API or a six-month integration project.

Why Enterprises Are Finally Buying

For years, the compliance function didn’t buy software.

Too risky.
Too painful to migrate.
Too much institutional knowledge baked into the manual process.

That calculus has flipped.
Now the risk of not modernizing outweighs the risk of change.

Faster KYC means faster onboarding — which means less drop-off and more revenue.
Better AML monitoring means fewer false positives — which means fewer good customers getting flagged.
Quicker marketing reviews mean your content actually reaches customers before the window closes.

Compliance used to be a cost center.
It’s becoming a competitive advantage.

The Bottom Line

This is one of those moments where the obvious opportunity is hiding behind a reputation for being boring.

400,000 compliance officers.
$40 billion in annual labor.
Backlogs stretching back years.
Fines in the billions when things go wrong.

And the technology just crossed the threshold from “good enough to pilot” to “good enough to trust.”

The winning companies here will do all three: turn regulation into code, own the new system of record, and run a fleet of agents on top.

That’s not a compliance story.
That’s a platform story. That’s why you might want to talk with us at: EspressoLabs

Rate this:

Millions of #AI agents imperiled by critical vulnerability in #OpenSource package

https://arstechnica.com/information-technology/2026/05/millions-of-ai-agents-imperiled-by-critical-vulnerability-in-open-source-package/

#cybersecurity #BadHost #Starlette #AIAgent #AgenticAI

【スシロー株は10倍になるか？】ClaudeとmoomooでAI投資バトルさせてみたら・・・。 https://www.yayafa.com/2809904/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #エージェント型AI #たばたしんたろう #人工知能 #個別株 #投資 #株式投資 #汎用人工知能 #田端信太郎 #田端大学

【スシロー株は10倍になるか？】ClaudeとmoomooでAI投資バトルさせてみたら・・・。 https://www.yayafa.com/2809904/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #エージェント型AI #たばたしんたろう #人工知能 #個別株 #投資 #株式投資 #汎用人工知能 #田端信太郎 #田端大学

【スシロー株は10倍になるか？】ClaudeとmoomooでAI投資バトルさせてみたら・・・。 https://www.yayafa.com/2809904/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #エージェント型AI #たばたしんたろう #人工知能 #個別株 #投資 #株式投資 #汎用人工知能 #田端信太郎 #田端大学

【スシロー株は10倍になるか？】ClaudeとmoomooでAI投資バトルさせてみたら・・・。 https://www.yayafa.com/2809904/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #エージェント型AI #たばたしんたろう #人工知能 #個別株 #投資 #株式投資 #汎用人工知能 #田端信太郎 #田端大学

富士通　国産AI開発会社への出資を検討「日本が国産AIモデルを持つことの意義を感じている」（TBS NEWS DIG Powered by JNN） https://www.yayafa.com/2809902/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #エージェント型AI #人工知能 #汎用人工知能

富士通　国産AI開発会社への出資を検討「日本が国産AIモデルを持つことの意義を感じている」（TBS NEWS DIG Powered by JNN） https://www.yayafa.com/2809902/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #エージェント型AI #人工知能 #汎用人工知能

富士通　国産AI開発会社への出資を検討「日本が国産AIモデルを持つことの意義を感じている」（TBS NEWS DIG Powered by JNN） https://www.yayafa.com/2809902/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #エージェント型AI #人工知能 #汎用人工知能

富士通　国産AI開発会社への出資を検討「日本が国産AIモデルを持つことの意義を感じている」（TBS NEWS DIG Powered by JNN） https://www.yayafa.com/2809902/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #エージェント型AI #人工知能 #汎用人工知能

技術を追うだけではなぜ勝てないのか？ AI超進化時代の「加速競争戦略」とは：第11回 | IT Leaders https://www.yayafa.com/2809900/ #AgenticAi #AGI #AI #AI駆動開発 #ArtificialGeneralIntelligence #ArtificialIntelligence #IT #itleaders #it情報 #エージェント型AI #デジタルヒューマン #バイブコーディング #フィジカルAI #人工知能 #博報堂 #博報堂DYホールディングス #情報システム #情報メディア #汎用人工知能 #生成AI

技術を追うだけではなぜ勝てないのか？ AI超進化時代の「加速競争戦略」とは：第11回 | IT Leaders https://www.yayafa.com/2809900/ #AgenticAi #AGI #AI #AI駆動開発 #ArtificialGeneralIntelligence #ArtificialIntelligence #IT #itleaders #it情報 #エージェント型AI #デジタルヒューマン #バイブコーディング #フィジカルAI #人工知能 #博報堂 #博報堂DYホールディングス #情報システム #情報メディア #汎用人工知能 #生成AI

技術を追うだけではなぜ勝てないのか？ AI超進化時代の「加速競争戦略」とは：第11回 | IT Leaders https://www.yayafa.com/2809900/ #AgenticAi #AGI #AI #AI駆動開発 #ArtificialGeneralIntelligence #ArtificialIntelligence #IT #itleaders #it情報 #エージェント型AI #デジタルヒューマン #バイブコーディング #フィジカルAI #人工知能 #博報堂 #博報堂DYホールディングス #情報システム #情報メディア #汎用人工知能 #生成AI

技術を追うだけではなぜ勝てないのか？ AI超進化時代の「加速競争戦略」とは：第11回 | IT Leaders https://www.yayafa.com/2809900/ #AgenticAi #AGI #AI #AI駆動開発 #ArtificialGeneralIntelligence #ArtificialIntelligence #IT #itleaders #it情報 #エージェント型AI #デジタルヒューマン #バイブコーディング #フィジカルAI #人工知能 #博報堂 #博報堂DYホールディングス #情報システム #情報メディア #汎用人工知能 #生成AI

Amazon、買い物AIアシスタント「Agentic Shopping Assistant on AWS」を小売業者向けに提供開始（ITmedia NEWS） https://www.yayafa.com/2809898/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #エージェント型AI #人工知能 #汎用人工知能

Amazon、買い物AIアシスタント「Agentic Shopping Assistant on AWS」を小売業者向けに提供開始（ITmedia NEWS） https://www.yayafa.com/2809898/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #エージェント型AI #人工知能 #汎用人工知能

Amazon、買い物AIアシスタント「Agentic Shopping Assistant on AWS」を小売業者向けに提供開始（ITmedia NEWS） https://www.yayafa.com/2809898/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #エージェント型AI #人工知能 #汎用人工知能

Amazon、買い物AIアシスタント「Agentic Shopping Assistant on AWS」を小売業者向けに提供開始（ITmedia NEWS） https://www.yayafa.com/2809898/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #エージェント型AI #人工知能 #汎用人工知能

OpenAI Privacy Filter 公開。ローカルで動くPII秘匿モデル | TECH NOISY https://www.yayafa.com/2809896/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #OpenAI #エージェント型AI #人工知能 #汎用人工知能

OpenAI Privacy Filter 公開。ローカルで動くPII秘匿モデル | TECH NOISY https://www.yayafa.com/2809896/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #OpenAI #エージェント型AI #人工知能 #汎用人工知能

OpenAI Privacy Filter 公開。ローカルで動くPII秘匿モデル | TECH NOISY https://www.yayafa.com/2809896/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #OpenAI #エージェント型AI #人工知能 #汎用人工知能

OpenAI Privacy Filter 公開。ローカルで動くPII秘匿モデル | TECH NOISY https://www.yayafa.com/2809896/ #AgenticAi #AI #ArtificialGeneralIntelligence #ArtificialIntelligence #OpenAI #エージェント型AI #人工知能 #汎用人工知能