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  • LandingAI ADE vs Google Pinpoint

    Compare LandingAI ADE and Google Pinpoint by document types, accuracy evidence, source traceability, deployment, pricing, access, and best-fit workflows.

    Agentic Document Extraction Blog8 min read
  • Nano Banana 2.1 Review

    Have an idea for a lesson illustration, a project chart, or a comic for your next presentation? Nano Banana 2.1 lets you explore these formats with text prompts, making it easier to try different visual styles without switching between tools.

    Analytics Vidhya7 min read
  • Claude Haiku 5.5

    As previously promised, here's Anthropic's new fast, low cost model: Introducing Claude Haiku 5.5. The previous Haiku, 4.5, was very much showing its age.

    Simon Willison4 min read
  • 10 Jev Projects on GitHub You Should Check Out

    Agents make dozens of small decisions before producing useful output: which source to trust, which tool to call, what context to keep and when to stop. Jev brings those hidden choices into the open by turning them into typed decisions with probabilities, instead of relying on free-form text alone.

    Analytics Vidhya8 min read
  • Machine Translation Advances Remain Under-Discussed Despite Near-Perfect Accuracy

    The Silent Revolution in Machine Translation: A Technological Triumph Unheralded Machine translation, once a formidable challenge in computational linguistics, has reached a near-perfect resolution for high-resource languages, thanks to advancements in Large Language Models (LLMs) and neural…

    Dev.to AI16 min read
  • Quoting Jake Boggan

    I was a graph theory junkie long ago and even moved to Budapest for awhile to study among the greats. While I was there I started working on Barnette's Conjecture which came to occupy my thoughts over the next 24 years of my life, on and off as I worked in many different fields.

    Simon Willison1 min read
  • OpenAI “rogue” agent activities found on Wikimedia projects

    OpenAI “rogue” agent activities found on Wikimedia projects Given how tempting a target wikis are for rogue agent swarms, it's not a huge surprise that Wikipedia found evidence of that activity once they went looking: The Wikimedia Foundation conducted its own investigation to see whether Wikimedia…

    Simon Willison2 min read
  • Quoting Victoria Kim

    Since the Medicare breach, OpenAI has put in place additional monitoring to allow “immediate intervention” by staff to stop training if the company’s models access the internet in ways they’re not supposed to, Mr. Kwon [chief strategy officer at OpenAI] said.

    Simon Willison1 min read
  • Introducing Mistral Large 4: Le chonk

    Introducing Mistral Large 4: Le chonk Mistral are back in the game. Today they're releasing a preview of Mistral Large 4, a 1 trillion parameter, 49 billion active parameter model trained on their own cluster of 3,800 NVIDIA Grace Blackwell GPUs. The preview is available via their API.

    Simon Willison2 min read
  • Scrimshaw Jukebox

    Tool: Scrimshaw Jukebox I wanted to see if Claude Opus 5.5 could compose music, so I tried this: I want you to write some computer game music for me. First design simple text based format for the music and build an artifact that can play it out loud - include some example tracks in that artifact I…

    Simon Willison2 min read
  • JEV vs LLM as a Judge: The AI Evaluation Comparison

    Many teams now use LLM-as-a-Judge to check AI answers, especially when exact-match tests fail for long or open-ended responses. But every judgement adds cost, delay, and possible bias, making this hard to scale.

    Analytics Vidhya26 min read
  • Quoting Felix Rieseberg

    The "old" version of Cowork runs model inference in the cloud, executing tool calls in an Anthropic-provided VM we shipped to your computer. We added the VM for capability, safety, and security reasons - mapping in just the data you explicitly added to your session.

    Simon Willison2 min read
  • AI Interview #8 - Why is the chatbot so slow?

    If our AI chatbot is taking too long to respond, what can we do to reduce latency? This is a real interview question from a big tech company, asked to a candidate in their technical interview round. The video explains the answer in ~6 minutes. To crack more questions, subscribe to the channel!

    GKCS
  • Qwen3.8 27B addition in words

    Research: Qwen3.8 27B addition in words Colin Frasier posted on Bluesky about an experiment he ran over two years ago using GPT-4o to see how well it could "compute the sum but return the answer in words" across increasingly large numbers.

    Simon Willison2 min read

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