When the US restricted foreign access to some of Anthropic’s most advanced models last week, it underscored a new reality: AI is now a geopolitical issue. In his latest piece for Project Syndicate, Sakana AI’s Co-Founder Ren Ito argues that AI sovereignty is not about building a
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@fofrai — 2026-06-18
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J'ai des agents qui forment des agents dans l'entraînement de mes agents pour mes agents
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AI models unaware of my current role, GPT 5.5 ignores me entirely
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mildly interesting that the models don’t know about my current role and gpt 5.5 doesn’t even think about me, at all!
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Gary Marcus criticizes ignorance about world models
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you are kidding me right? i have pushing for world models for a decade, made specific technical criticisms that held since 1998 based on tests i did with models etc. you have shown your own ignorance, nothing more.
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AI equivalent to Opus 4.8 locally for under €4000 soon
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Read carefully. We are just a few months away from being able to run the AI equivalent of Opus 4.8 locally on hardware for under €4000. Yes, yes…
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Ineffective a posteriori API guardrails for cutting-edge models
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Let's face the truth: a posteriori API guardrails are not the appropriate safety tool for cutting-edge models. They do not eliminate dangerous capabilities. They simply hide them behind a fragile interface that can be easily
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GPT-5.5 vs. Claude Opus 4.7 Showdown
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Here's an interesting chart: GPT-5.5 is neck-and-neck with Claude Opus 4.7.
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Modèles plus fiables et alignés pour l’IA
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This is an early step toward more robustly beneficial and aligned models: training models to carry beneficial traits into new situations, so as AI becomes more capable, it also becomes more reliable, transparent, and helpful for people.
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OpenAI tests alignment persistence: model resists harmful prompts, stays helpful
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We also tested whether alignment persisted under pressure. The model was harder to steer toward harmful behavior with adversarial prompts, while remaining responsive to helpful instructions. We saw preliminary evidence of greater resistance to harmful fine-tuning.