we'd love to vibe check these models on @every
! they look amazing
GENERATIVE AI
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Evaluating AI models for integration
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Frontier models outperform smaller models for unexpected problems
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It is one reason why I think the push for smaller, local models is more complicated than people think. If you want good answers, especially good answers to unexpected problems, frontier models will generally outperform smaller models on a wide range of tasks.
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Anthropic cautious vs OpenAI open on cyber-capable AI releases
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Anthropic: “Claude Mythos is too cyber-capable to release broadly. We need tight controls. 😳”
— Chubby♨️ (@kimmonismus) 11 mai 2026
OpenAI: “Here’s GPT-5.5-Cyber, Codex Security, Trusted Access tiers, repo scanning, patch generation, and red-team workflows. Please be verified first, but yes, go find the bugs. 😎” https://t.co/8vZwl8tVwfAnthropic: “Claude Mythos is too cyber-capable to release broadly. We need tight controls. ” OpenAI: “Here’s GPT-5.5-Cyber, Codex Security, Trusted Access tiers, repo scanning, patch generation, and red-team workflows. Please be verified first, but yes, go find the bugs. ”
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Cursor AI’s context-aware code implementation and PR automation
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Cursor reads the entire thread for context before implementing a solution and creating a PR for your team to review. Learn more:
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Analyzing the generative mechanics and hallucination patterns of LLMs
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they break things into bits. then they reconstitute them often the reconstitution includes verbatim repetition even the hallucinations are often combinations of real bits but from different people, articles that shouldn’t be combined all that has the flavor of pastische
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Quebec.AI Sovereign Manifesto: Becoming AI‑First Enterprises
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http://
QUEBEC.AI Sovereign Manifesto / Manifeste souverain. Next great enterprises won’t just use AI.
They become AI‑First intelligence organizations. Agents discover.
Validators prove.
Memory preserves.
Governance controls.
The enterprise compounds. Frontier. AI‑First. -
New Memory feature update allows context transfer between AI chats
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new Memory update ✨ pt.6
— Character.AI (@character_ai) 11 mai 2026
🆕 Copy Memory – start a new chat without losing the plot🔐
bring Story Memory and Facts along to a new chat, or leave it all behind. up to you.
more memory updates coming soon (•◡-)♡ https://t.co/9Y9aQvCJQ8 pic.twitter.com/WbtSnG4XCpnew Memory update pt.6 Copy Memory – start a new chat without losing the plot bring Story Memory and Facts along to a new chat, or leave it all behind. up to you. more memory updates coming soon (•◡-)♡
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Newer bigger LLMs excel at everything including poetry
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One of the most important properties of LLMs that we take for granted is that newer, bigger models are just better at everything. The AI Labs are pouring effort into economically valuable fields like coding, but bigger models are also better at negotiation, alignment, poetry, etc
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Critical reason to open up about AI use in academia
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This seems like a critical reason to open up about AI use in academia. Scholars are using old AI models, badly, and not talking about it. New models hallucinate very few citations, and good agentic harnesses drop that further. Being open about use would help us make new norms.