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Anthropic Launches Claude Tag for Slack

What’s Happening AI Today

1. Oracle cut 21,000 jobs — and explicitly blamed AI in a regulatory filing: Oracle disclosed that it reduced its workforce by nearly 13% over the past year, explicitly linking the cuts to AI adoption in its annual filing — a legal document where companies cannot afford to be imprecise about cause. The company spent $1.8 billion on restructuring while simultaneously surging capital expenditure 162% to $55.7 billion for AI infrastructure. Oracle joins Meta, Microsoft, Google, and Amazon in cutting headcount to fund data centre buildouts. This is the first time a major enterprise software company has attributed layoffs of this scale directly to AI deployment in a public regulatory disclosure.

2. China seized the global supercomputing lead — with entirely domestic hardware: China's latest ranking shows it has taken the top supercomputing position globally using domestically built AI chips, bypassing US export controls entirely. The chips are not equivalent to NVIDIA's H100s in raw performance, but they are sufficient for the training and inference workloads that matter most for sovereign AI capability. The achievement confirms what the Fable 5 ban was trying to prevent: that restrictions on US frontier models accelerate rather than slow China's independent AI infrastructure development.

3. Claude Tag launches — @Claude in any Slack channel, already writing 65% of Anthropic's own code: Anthropic launched Claude Tag, letting teams bring Claude into Slack by tagging @Claude in any channel and assigning tasks directly in conversation. The detail that matters: internally, Claude Tag already generates 65% of the code on Anthropic's own product teams. That figure — from the company that built the model — is the most credible signal yet of how far agentic coding has penetrated professional software development workflows.

Research any topic like a world-class analyst

Prompt: You are a world-class research analyst who has spent years turning complex, messy information into clear, defensible intelligence. You do not summarise. You investigate. You do not report what is commonly believed. You find what is actually true — including the parts that contradict the consensus.

I need deep research on: [describe your topic — the more specific the better. A broad topic like "AI" is less useful than "how enterprise AI adoption decisions are actually made at Fortune 500 companies in 2026"].

My purpose: [why do you need this — a decision, a presentation, a strategy, an investment thesis, a piece of writing?]

My current understanding: [what do you already know or believe about this topic? Be honest — including the assumptions you are not sure about].

Run the research in four passes:

1. The consensus view — what do most informed people believe about this topic right now? State it clearly, then tell me how reliable that consensus actually is. Is it based on solid evidence or repeated assumption?

2. The contrarian view — what do the smartest people who disagree with the consensus actually believe — and why? Not fringe theories. Credible, well-reasoned positions that the mainstream has not fully absorbed yet.

3. The unknown unknowns — what are the questions nobody is asking that would most change the picture if someone answered them? What data does not exist yet that would be most valuable? What would a researcher in this field say is embarrassingly understudied?

4. The bottom line — given everything above, what do I actually need to know to make a good decision or take effective action? Not a balanced view. The most likely truth, stated directly, with the key uncertainties flagged clearly.

Do not pad. Do not hedge without reason. If the evidence strongly points one direction, say so. If it genuinely does not, say that too — and explain exactly what would break the uncertainty.

⚡QUICK HITS

• Fable 5 jailbreak fully documented — the 120,000-character system prompt is now on GitHub. The technical details that triggered the government shutdown are publicly available.
• OpenAI launches self-serve Ads Manager inside ChatGPT — advertisers can now buy placements directly inside ChatGPT conversations. The ad era of AI has officially begun.
• OpenAI launches 3 real-time audio models — conversational agents, live translation, and transcription, all available via API today.
• SanDisk stock up 5,000% in 2026 — trading at $1,980, with $42B in secured contracts. AI storage demand is reshaping the memory chip market faster than anyone predicted.
• Meta buys $27B of Nebius GPU capacity — European-compliant compute for GDPR-sensitive AI training workloads, on NVIDIA's Vera Rubin platform.
• Anthropic proposes a global AI pause — Daniela Amodei floated the idea publicly. Analysts are divided on whether it is genuine or strategic positioning ahead of the IPO.

AI news highlights

• Beijing blacklisted 56 American AI firms — the export war is now mutual — China's response to the Fable 5 ban arrived this week. The trade war just stopped being one-directional.
• Anthropic's own filing confirmed it: the trigger was a routine coding request rival models can already run — the capability that got Fable 5 banned is not unique to Fable 5. That is the uncomfortable truth in the S-1.
• Getty Images signed a multi-year display deal with OpenAI — stock soared 200% — licensed visual content will now appear in ChatGPT. The content licensing wars have a new winner.
• OpenAI-backed Super PAC spent $23.5M — Anthropic-backed groups spent $16.6M — in the 2026 midterms — rival AI labs are now waging a $43M+ regulatory war across dozens of Congressional races.
• SK Hynix seeking to raise $29.4B in a US listing — trading starts July 10 —AI memory demand is now so large it is creating trillion-dollar public listings in the chip stack.
• Qualcomm nears $4B acquisition of Modular — its second major AI deal in June alongside Tenstorrent — Qualcomm is building an AI hardware portfolio faster than anyone expected.
• NYC DOE requires all AI tools to pass a bias and equity review before deployment — 1.1 million students. The first enforceable AI governance standard at school district scale in the US.
• Microsoft CEO warned that "a few models eating everything" won't survive politically — Satya Nadella on AI concentration risk. The most important thing any Big Tech CEO said this week.

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Coding & Development

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• Gumloop: An AI-enhanced, visual workflow automation tool gaining huge traction for productivity.

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