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machine learning Oct 14 Dog-Breed Text-to-image Flow Matching from Pretraining to Fine-Tuning on 4 Consumer GPUs We generally perceive that training text-to-image diffusion models requires heavy compute: it is true if we aim at a comprehensive frontier model. This understanding prevents people from training their own models when getting star... ai Oct 14 Tev: Scaling Long-Horizon Agentic Environments with Dense Progress Rewards The problem this paper tackles is the failure of open‑source models to operate autonomously on long‑horizon tasks that span economically valuable work, from multi‑hour computations to multi‑day projects. Such a capability is essen... ai Oct 14 PixelMoE: Scaling Pixel-Space Diffusion with LLM-Style Mixture-of-Experts Pixel-space diffusion models have long appealed as an alternative to latent-space approaches, offering direct modeling of raw images without dependence on a learned tokenizer. Yet scaling these models has followed dense strategies... machine learning Oct 14 Two Clocks: Why Larger Rollout Batches Learn Slower but Fail on Schedule in Reinforcement Learning with Verifiable Rewards Reinforcement learning with verifiable rewards RLVR relies on costly model-generated responses, motivating larger rollout batches and square-root learning-rate scaling. Reported to approximately preserve progress per sample with o... ai Oct 12 GPT-6 Astra Helped Me Jailbreak My Kindle Aim: Screensaver and Custom App Kindle sitting unused, wanted to see whether AI could help find a new use for it. Goal: create custom app covering range of uses, controlled by AI agent on MacBook. Started with small goal: use own... ai Oct 12 Launch HN: Agent37 (YC F26) – Low-cost agent sandboxes for running agents Agent37, a Y Combinator F26 startup, offers sandboxes for running AI agents at under 10% of typical provider costs. Customers pay an average of $0.37 per month per sandbox, and the company now provides a free tier used by more tha... ai Oct 12 Can Language Models Play the Wikipedia Game? Language models increasingly support or automate information retrieval from document collections too large to index. This task becomes difficult when it requires specialist linguistic or scientific knowledge. Hickey, Knight, and B... machine learning Oct 12 AI Models Can Provably Hide Arbitrary Capabilities Capability evaluations aim to surface dangerous model behaviors before deployment, but their reliability depends on the assumption that hidden capabilities can be elicited. Hickey and colleagues, together with Draguns and team, de... machine learning Oct 12 Designing Protein Structures from Natural Language A central challenge in de novo protein design is generating proteins with desired structural and functional properties. Existing design models typically require a dedicated input representation for each property, limiting the desi... ai Oct 12 RATED: Reliability-Aware AI Agent Tool Retrieval via Execution Dynamics AI agents increasingly rely on external tools for task completion. When retrieval selects an unavailable or broken tool, the agent fails silently or loops unnecessarily. Existing methods prioritize semantic similarity but treat to...