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Oct 5

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  1. Liquid AIAI score37

    Liquid AI's d1 decision model adds vision, rivaling GPT-6.1 Sol at lower cost

    AILiquid AI released d1 with vision support, accepting images, text, or both as inputs. In tests on six real applications, d1 matched or beat GPT-6.1 Sol on four while costing 19x to 200x less than both GPT-6.1 Sol and Claude Opus 5.5. It returns probabilities for yes/no, choice, or score questions in one forward pass, with text decisions in 200 to 300 ms.

  2. Understanding AI (Timothy B. Lee)AI score62

    Agent swarms may be the next scaling law, but speed may matter more than capability

    AIThe article examines whether multi-agent swarms could become a new scaling law, comparing them with inference scaling from o1. OpenAI researcher Noam Brown said its models are now sometimes trained with other agents, while the cited Anthropic data suggests gains beyond 10 agents are smaller and mainly speed-related. The article also raises the risks of groupthink and misaligned agents, and it notes that a Microsoft Research and UC Berkeley paper found teams sometimes solved tasks solo agents could not.

  3. Liquid AI · new models on Hugging FaceAI score44

    LiquidAI releases d1-omni-600M, a 600M decision model for text, image and audio

    AILiquidAI has released d1-omni-600M on Hugging Face, a 587M-parameter model that answers named yes/no, choice and score questions over text, images or up to 30 seconds of speech in a single forward pass. It returns typed answers with zero output tokens by reading the model's distribution over options, and is built on LFM2.5-Encoder-350M with a 16,384-token context length. The model is not a chat model and does not generate text.

  4. Dex HorthyAI score16

    there will always be alpha in reviewing something.

    AIOtherwise, you get the same AI slop as everybody else that something might not always be the code until one day the model is 10x/100x smarter than us in every dimension, and you actually get worse results by interfering at which point why do anything at all. plug me into the matrix and let me live out my days in 1990s chicago

  5. Google AIAI score46

    Gemma 4 and BOTANIC-1 pinpoint crop-trait DNA mutations in hours

    AILiving Models paired Google's Gemma 4 with BOTANIC-1, a plant-DNA-trained AI, to identify the mutations behind crop traits. In one melon-yield test, the pipeline ranked the target mutation first among 2,494 candidates in under four minutes. The approach aims to speed development of climate-resilient crops that traditionally take years of field trials.

  6. CSET (Georgetown)AI score13

    CSET Expert Commentary Covers AI-Driven Propaganda and Spam on Social Media

    AIJosh A. Goldstein of CSET has commented in several media outlets on AI-enabled influence and spam, including Tech Policy Press, MIT Technology Review, NPR, and the Financial Times. His commentary covers Meta's quarterly threat report on five fake-account networks linked to Moldova, Iran, Lebanon, and India, and OpenAI's first report on misuse of its generative AI. He also discussed a surge in AI-generated spam on Facebook and other platforms.