TechnologyAnthropic CEO outlines plan to ‘pace the frontier’
What would it actually look like to "pace the frontier"?
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TechnologyAnthropic CEO says it’s time to pump the brakes on AI
Anthropic CEO Dario Amodei says the time has come to slow down AI development and will give third-party evaluators like METR access to its models to help ensure its "adherence to safety practices and...
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Live from 13 AI feeds — TechCrunch, Ars Technica, MIT Tech Review, The Verge, The Decoder & more
Technology
TechnologyAnthropic CEO Amodei wants AI speed limits before self-improvement outpaces human control
Anthropic CEO Dario Amodei is calling for a controlled slowdown in AI development. He warns that recursive self-improvement could threaten the entire internet within six to twelve months and proposes...
TechnologyHighTrump is giving data centers a pass to pollute
President Donald Trump is weakening environmental regulations in the name of speeding up the construction of AI data centers, raising health risks for Americans, a cadre of former EPA officials said...
TechnologyGPT-6 Astra appears to show a "step change" in spatial reasoning based on early benchmarks
In a new robotics benchmark, GPT-6 Astra shows major gains in spatial understanding. On StationeryBench, the model completed 7 out of 100 tasks with dual-arm robots, while competitor MolmoAct2...
TechnologyHighNvidia wants to pour up to $10 billion into Anthropic's record-breaking IPO
Nvidia is in talks to invest up to $10 billion in Anthropic's planned IPO, Reuters reports. At a target valuation of $2 trillion, it would be the largest IPO in history. Most of that money will...
TechnologyAI models' written reasoning steps correspond to distinct internal patterns, a new study finds
Reasoning steps like calculation, formula retrieval, and deduction are clearly separable in a model's internal states, especially in the middle layers. That matters for AI safety, because models...
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Most-Covered Companies
Who the tracked stories name most — extracted name matches, not a measure of who is actually affected
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AI companies tracked on Wikidata, by country — not a ranking of AI leadership
Darker → lighter gold = fewer → more AI companies tracked on Wikidata. Gray = no reliable data.
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Source: Wikidata (companies tagged industry: artificial intelligence) — coverage varies by country, not a full census. Countries are listed by count, not ranked by AI activity. See our methodology.
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Selected AI Tools
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ChatGPTOpenAIGeneral-purpose chat, writing, and research assistant
ClaudeAnthropicLong-document analysis, coding, and careful writing
GeminiGoogle DeepMindSearch-integrated assistant across Google's apps
CopilotMicrosoftAssistant built into Windows and Microsoft 365
PerplexityPerplexity AISearch-first Q&A with cited sources
Meta AIMetaBuilt into WhatsApp, Instagram, and Facebook
GrokxAIAssistant integrated into X (Twitter)
MidjourneyMidjourney, Inc.AI image generation from text prompts
DeepSeekDeepSeekOpen-weight reasoning models, free to self-host
Le ChatMistral AIEuropean-built assistant with an open-weight lineage
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The Agentic AI Bible
AI Guide for Beginners: How to Use AI Prompts
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
Co-Intelligence: Living and Working with AI
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About This Site
AI Stream Online exists because keeping up with AI means checking a dozen different places — news sites, GitHub, YouTube, podcasts, company trackers — and most of them don't tell you where their numbers actually come from. This site pulls the pieces that matter into one place, and is explicit about which parts are live data, which are automated-but-heuristic, and which are editorial judgment calls. Nothing here is dressed up to look more authoritative than it is.
Everything is built and run by one person, on automated pipelines that refresh every 3 hours: real RSS feeds for news, GitHub's public API for open-source activity, Wikidata's public endpoint for AI company counts, and YouTube's/podcasts' own public feeds for video and audio. No paid data services, no invented statistics. The full breakdown of every number on this site — including what each one can't tell you — is on the Methodology page.
It's an early, ongoing project. If something looks wrong or you know a better free data source for anything here, reach out.