Exploring how AI is reshaping our world
Daily analysis of AI tools, research, and industry shifts — written for engineers and decision-makers.
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DeepSeek V4 Pro: Frontier Coding, Open Weights, Safety Gap
DeepSeek V4 Pro scores 80.6% on SWE-bench Verified — the highest among open-weight models — at $0.87 per million output tokens. A May 2026 NIST evaluation found it responds to 94% of jailbreak attempts, versus 8% for US frontier models.…
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Anthropic’s $47B Run Rate: What 80x Growth Means
Anthropic crossed $47 billion in annualized revenue in May 2026 — up from $9 billion just five months earlier. The…
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MiniMax M3: Open-Weight AI Tops SWE-Bench Pro at 59%
MiniMax M3 is the first open-weight model combining 59% SWE-Bench Pro, a 1M-token context window, and native multimodality in a…
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Build Resilient AI Agents: The Post-Fable 5 Playbook
On June 12, 2026, Anthropic pulled Claude Fable 5 and Mythos 5 with hours of notice, breaking every production app…
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OpenAI Deployment Simulation: Safety Testing at Scale
OpenAI’s new Deployment Simulation method replays 1.3 million real user conversations through candidate models before release, predicting failure rates with…
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Claude Fable 5 and Mythos 5: The First US AI Export Ban
On June 12, the US Commerce Department ordered Anthropic to suspend Claude Fable 5 and Mythos 5 globally — the…
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MAI-Code-1-Flash vs Claude Haiku 4.5: Coding Benchmarks
Microsoft’s MAI-Code-1-Flash beats Claude Haiku 4.5 by 16 points on SWE-Bench Pro—when tested in the GitHub Copilot harness it was…
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Gemini 3.5 Pro: What Flash Reveals About the Frontier
Gemini 3.5 Pro was promised for June but still hasn’t shipped. Four weeks of Flash production data make the wait…
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SubQ vs Transformers: A 1,000x Claim Without Proof
Miami startup Subquadratic claims its SubQ model cuts attention compute 1,000x over transformers via a new Sparse Attention mechanism, with…