Mistral's Shieldstral: 3B open-weights model for multimodal moderation
Mistral AI has released Shieldstral, a
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Analysts Estimate That More Than 70% of Amazon, Microsoft and Google’s AI Revenues Come From OpenAI and Anthropic
Analysts estimate that more than 70% of the AI revenue generated by Amazon, Microsoft, and Google originates from OpenAI and Anthropic. The estimate was posted on Reddit’s r/singularity forum. Read original
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When Many Answers Are Valid, Voting Fails: Symbolic Verification for Best-of-K Causal Reasoning in LLMs
Self-consistency assumes the most frequent answer among sampled reasoning traces is the most reliable, but this can fail in causal reasoning: samples often repeat the same confounding error, and votes
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When Agents Learn to Be You: Benchmarking Privacy Leakage, Impersonation Risk, and Defenses in Persona Skills
Persona skills, which distill personal interaction histories into portable and executable artifacts for downstream agents, concentrate fragmented personal signals and amplify their impact through reuse, challenging tradi…
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ContinualSkillBench: Can LLM Agents Truly Evolve Their Capabilities?
Modern agent frameworks equip large language models with external skill libraries to solve complex tasks. However, it remains unclear whether these systems can effectively evolve their skills and whet
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OmniPack: Unified Token Compression for Efficient Omni-modal Large Language Models
Omni-modal large language models (Omni-LLMs) have achieved remarkable performance on audio-visual understanding tasks, but processing long and highly redundant visual and audio token sequences incurs
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LLaDA MoE v2: Scaling Mixture-of-Experts Diffusion Language Models
Diffusion language models (dLLMs) offer an alternative to autoregressive (AR) language modeling, yet the scaling behavior of Mixture-of-Experts (MoE) dLLMs remains poorly understood. We systematically
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JoyAI-Video-Edit: Real-Time Open-Ended Video Editing with Autoregressive Diffusion
JoyAI-Video-Edit is a 16B-parameter autoregressive diffusion framework designed for real-time, open-ended video editing without access to future frames or a predefined video duration. It combines chunk-wise autoregressiv…
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Cursor Open-Sources Mixture-of-Kittens (MoK): A Deterministic MoE Training Megakernel for GB300 NVL72 Racks
Cursor has released Mixture-of-Kittens (MoK), a deterministic MoE training megakernel for GB300 NVL72 racks that removes CPU‑GPU synchronization and a separate communication library. The kernel allows per‑operation commu…
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I beat CartPole's random baseline with 5-line memory queries, no training, no download
The author demonstrates that a five‑line memory query mechanism can exceed the random baseline performance of the CartPole environment in the Gymnasium RL suite without any training or external dataset download. Using ou…
→ View original sourceLFM2.5-2.6B is out
Released today, with emphasis on agentic capabilities. I really like their models for simple, high volume tasks ("summarize these gazillion documents") and their 8b-a1b was my go-to for c
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