A Single Neuron Is Sufficient to Bypass Safety Alignment in Large Language Models
LLMS
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Inefficient caching for LLMs with parallel strategies
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1/5 Caching relies on a deterministic assumption: same input, same output. This breaks down with LLMs, particularly with agents using parallel rollout strategies like best-of-N sampling.
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Codex knows that command with many edits, no large blob
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oh codex knows that command. there’s no large blob, just a ton of edits.
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Rumored Gemini Flash achieves 92% GPT-5.5 performance at 15-20x lower inference cost
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Rumors about the new Gemini Flash coming in. And holy, if true then big: 92% of GPT-5.5’s coding and reasoning performance, reportedly at 15–20x lower inference cost. And the latency? Sub-200ms for most queries. That would be nuts. no joke.
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Microsoft Explores Acquisition of AI Lab Behind Reasoning Diffusion LLM
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Microsoft is exploring a deal to acquire Inception, an AI lab that recently released Mercury 2, the world's first reasoning diffusion LLM, according to Reuters. Imagine diffusion Copilot
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Hermes AI Agent Memory Architecture Explained
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the three-tier memory of Hermes agent. AI agents forgets everything when your session ends. Hermes doesn't. it has three memory layers, each at a different speed. 𝘁𝗶𝗲𝗿 𝟭: 𝘁𝘄𝗼 𝘁𝗶𝗻𝘆 𝗺𝗮𝗿𝗸𝗱𝗼𝘄𝗻 𝗳𝗶𝗹𝗲𝘀 MEMORY.md (2,200 chars) and USER.md (1,375 chars).
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The AI Orchestrator: Tomorrow’s Profession
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The job of the future: AI orchestrator. For every task, deciding between 15 models based on 4 variables: intelligence, cost per token, hallucination rate, and latency. Between Claude Opus at $15 per million tokens and the Chinese Qwen at $0.50, there’s a 30x difference. Multiplied by…
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OpenSquilla Releases Cost-Efficient Open-Source AI Agent for Long-Running Tasks
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OpenSquilla released a new open-source AI agent designed for executing cost-efficient, long-running tasks. It offers 60-80% token savings and is available under the Apache-2.0 license! > ML classifier sends simple tasks to cheap models, complex ones to stronger models > 60-80%
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Automated codex review loop skill with architecture limitation
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Wrote a skill that runs codex /review in a loop until there's no booboos anymore. Caveat: It won't fix system architecture for ya, so you still need BRAIN as master model. https://
github.com/steipete/agent
-scripts/blob/main/skills/codex-review/SKILL.md
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AI models’ inherent planning and intent inference capabilities
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same, models are so good at planning and inferring intent that you don’t really need to add the extra step of planning!