we'd love to vibe check these models on @every
! they look amazing
LLMS
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Evaluating AI models for integration
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OpenAI Launches Daybreak, an Agentic Cybersecurity Tool
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OpenAI just launched a new cybersecurity product called 'Daybreak' that pairs GPT-5.5 with Codex to act as an agentic security team across a codebase.
— The Rundown AI (@TheRundownAI) 11 mai 2026
The product scans repositories, identifies vulnerabilities, generates patches, and automates detection and response.
It ships… pic.twitter.com/WdZkgIPZMoOpenAI has just unveiled a new cybersecurity product named 'Daybreak,' which combines GPT-5.5 with Codex to function as an autonomous security team for a codebase. The tool scans repositories, detects vulnerabilities, generates patches, and automates threat detection and response. It is now available.
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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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RDUs for Continuous Inference and Large-Scale AI Workloads
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Built differently for inference 🦾
— SambaNova (@SambaNovaAI) 11 mai 2026
RDUs are designed to keep execution streaming continuously across the system, from memory to compute to parallel execution at scale.
256 RDUs working together can generate thousands of tokens in parallel for modern AI workloads.
Learn more:… pic.twitter.com/2Rf4GTon3cBuilt differently for inference RDUs are designed to keep execution streaming continuously across the system, from memory to compute to parallel execution at scale. 256 RDUs working together can generate thousands of tokens in parallel for modern AI workloads. Learn more:
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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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Sharpness-Aware Pretraining for Mitigating Catastrophic Forgetting in AI Models
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“Sharpness-Aware Pretraining Mitigates Catastrophic Forgetting” Better base models don’t always become better fine-tuned models, because post-training can overwrite pretrained capabilities. So this paper pretrain models into flatter loss regions, so later updates from
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Manifold Steering for Neural Network Representation and Behavior
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"Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior" Most activation steering treats concepts like directions, but model representations are often curved, so straight line steering can cut through unnatural internal states. The key idea
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Technical clarification on LLM data processing and regurgitation mechanisms
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Since Hinton has actually replied let me clarify some things – LLMS don’t *always* regurgitate
– LLMs don’t literally store full texts
– but given the mechanisms that they use they do sometimes regurgitate long passes through their process of resynthesis
– the evidence for that