AI News Today

Rillet on Vercel Tripled shipping rate in three months with eve agents deployed on Vercel Two-person team closed 800+ Linear tickets in its first 4 months Builder access via Enterprise Managed Users, SSO, and Directory Sync Ships customer-requested changes to production in as little as two hours Gives every builder access to models through AI Gateway Rillet is an AI-native enterprise resource planning (ERP) platform. Their AI agents do accounting work inside a real-time general ledger, with huma

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<p>A spokesperson for the tech company did not specify what kind of behavior would be considered abusive</p><p>Anthropic has <a href="https://www.anthropic.com/news/2026-usage-policy-update">barred users</a> from exhibiting “sustained and needless abusive or cruel behavior” toward its models, as the company’s leaders continue to ponder machine consciousness.</p><p>The Verge <a href="https://www.theverge.com/ai-artificial-intelligence/1008100/anthropic-new-usage-policy-abuse-claude">first</a> rep

People interrupt. They laugh over someone else’s last sentence, offer a quick agreement before a speaker has finished, and keep talking while music or traffic fills the background. For a voice AI developer, that everyday messiness creates a difficult data problem: a recording can contain exactly the conversational behavior a model needs to learn, yet arrive as a single mixed audio stream. AudioShake is targeting that gap with The Refinery, a newly launched system that converts existing…

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1x17shf/thinkingbox_solving_an_agent_task_once_vs_solving/"> <img src="https://external-preview.redd.it/q3evP6JeDpAC2MdSQHWYxnCYTqbJkElIQsLFqVSdkss.png?width=140&height=81&auto=webp&s=d39c4c208d55b26179446aa55ac5f84224359090" alt="ThinkingBox: Solving an agent task once vs. solving it 20/20: 507 stateful workflows graded on terminal database state [R]" title="ThinkingBox: Solving an agent task once vs. solving it 20/20:

The infrastructure behind an AI model can reveal a surprising amount before anyone breaks into it. A public monitoring endpoint may disclose the GPUs in a server, their utilization and the software around them. A flaw in that same monitoring service can turn visibility into an availability risk. New research from Lava, released October 8, describes both problems. The security company identified roughly 2,100 publicly accessible NVIDIA DCGM Exporter hosts reporting more than 12,000 unique GPUs…

<p><strong>Release:</strong> <a href="https://github.com/simonw/ttok/releases/tag/1.0">ttok 1.0</a></p> <p>I released <a href="https://simonwillison.net/2026/Oct/8/ttok/">ttok 0.4</a>, ran <code>uv tool upgrade ttok</code>, piped a file into the new version... and realized that it was defaulting to the GPT-4 tokenizer when it should very clearly default to GPT-5/GPT-6 instead!</p> <p>I figured switching the default was a reasonable excuse to finally ship a 1.0.</p> <p>OpenAI haven't actually con

OpenAI’s math breakthroughs may trigger an identity crisis for mathematicians. Who’s next?

Friday, October 16, 2026 Can AI design new life forms? In 2025, Stanford University PhD student Samuel King came up with a preliminary answer when he used a generative AI model to propose genetic blueprints for microscopic viruses. It isn’t yet an example of AI-generated life, but that could be next. Join senior AI reporter…

Decision-1 from Microsoft is now available on AI Gateway . It answers typed questions about text with probabilities, choices, and scores. It can be used to classify support requests, select the next step in a workflow, or assess an AI response against a rubric. The model can answer yes/no questions, choose among named categories, or score an input against an ordered set of criteria. Multiple questions can share the same input in one request. Choice and score answers include probabilities for eac

Liquid d1 is now available on AI Gateway . d1 is a decision model that evaluates shared state against typed questions for classification, routing, and scoring. It returns structured answers with probabilities without generating text tokens. d1 also has vision support: the model can answer typed questions about images for visual classification, inspection, and scoring. Use liquid/d1 through the AI SDK decision API , the OpenAI-compatible Decisions API , or the TypeSafe-compatible API . These exam

Anthropic says for the next two years, attackers will have the advantage

<p><strong>Release:</strong> <a href="https://github.com/simonw/ttok/releases/tag/0.4">ttok 0.4</a></p> <p><code>ttok</code> is my CLI tool for counting tokens, using OpenAI's open source <a href="https://github.com/openai/tiktoken">tiktoken</a> library.</p> <p>It hasn't been in updated in a couple of years, but I finally fixed a Click warning, updated CI, and added a <code>--list-models</code> command to list available models.</p> <p>It works with <code>uvx</code>, so you can count tokens in an

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Article URL: https://www.freecodecamp.org/news/build-and-train-a-25m-parameter-llm-from-scratch-on-your-cpu/ Comments URL: https://news.ycombinator.com/item?id=50013148 Points: 1 # Comments: 0

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Article URL: https://twitter.com/generalcontext_/status/2108313483293147292 Comments URL: https://news.ycombinator.com/item?id=50012960 Points: 2 # Comments: 0

<!-- SC_OFF --><div class="md"><p>Lunara introduces a novel <strong>Diffusion Mixture Transformer</strong> architecture with fewer than 10B active parameters for modeling artistic intelligence in image generation.</p> <p>Its <strong>CAT training algorithm</strong> iteratively updates the training distribution through targeted sample acquisition, image refinement, and selective inclusion of human-created artwork inspired by principles of active learning. Semantic variations modify composition whi

Commitment comes as GPUzilla prepares to fortify Uncle Sam's arsenal with at least seven AI-optimized supers

MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.

MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.

Article URL: https://arxiv.org/abs/2609.38981 Comments URL: https://news.ycombinator.com/item?id=50012359 Points: 1 # Comments: 0

SafeWorld’s platform provides testing and simulation software to help enterprises evaluate and deploy robots safely and responsibly. The post SafeWorld emerges from stealth to build, deploy robot safety simulation technologies appeared first on The Robot Report .

Turning a simulation idea into a working application means assembling assets, connecting physics and rendering, and checking that the scene behaves as intended. Developers are combining frontier AI models with NVIDIA Omniverse libraries to help carry out that work — building applications for exploring scenarios, investigating failures and improving designs. Developers direct AI agents through […]

Preparing CAD assets for robotics simulation requires more than converting geometry to OpenUSD: developers must configure and validate materials, collision...

Article URL: https://testflight.apple.com/join/5JGCZpxt Comments URL: https://news.ycombinator.com/item?id=50012063 Points: 1 # Comments: 0

After extensive testing, Common Sense Media found the chatbot failed in five key areas.

Given that agents are getting good at generating motion graphics I wanted to understand what the differences are in cost and time using say Opus 5.5 and the cheaper models. Let me know if you want other LLMs added and feel free to click around the rest of the website. All videos are editable in place and aim to give engineers a simple way of discovering and remixing motion graphics without spending too much on compute. Comments URL: https://news.ycombinator.com/item?id=50011813 Points: 2 # Comme

<!-- SC_OFF --><div class="md"><p>UT-based small models, despite being trained from scratch on these tasks without internet-scale pre-training, <em>consistently outperform most standard Transformer-based Large Language models (LLMs) by a significant margin.</em> 👈</p> <p>The Universal Transformer (UT) extends the standard Transformer by introducing recurrent computation over depth. Instead of stacking L distinct layers, the UT applies a single transition block repeatedly to refine token represe

The Chocolate Factory proposes a single universal agent for work

<div class="hs-featured-image-wrapper"> <a href="https://blog.hubspot.com/marketing/aeo-guide-for-digital-pr" title="" class="hs-featured-image-link"> <img src="https://blog.hubspot.com/hubfs/AEO-for-digital-PR_-How-to-build-earned-media-presence-that-shows-up-in-AI-results-1-20260928-8919186.webp" alt="AEO for digital PR" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"> </a> </div> <p>Digital PR has always been about earning coverage tha

<div class="hs-featured-image-wrapper"> <a href="https://blog.hubspot.com/marketing/aeo-guide-for-marketing-agencies" title="" class="hs-featured-image-link"> <img src="https://blog.hubspot.com/hubfs/AEO-for-marketing-agencies-1-20260928-3993649.webp" alt="AEO for marketing agencies" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"> </a> </div> <p>Clients are asking about AEO. Some have seen competitors show up in AI results and want to kn

Three fired OpenAI safety researchers dispute allegations of mishandling sensitive information, warning in an open letter that their dismissals are creating a chilling effect on the company’s AI safety culture.

We solved all 400 puzzles in around 2 minutes, NO LLM, on a Mac M1. No prize for us not sharing our IP. Comments URL: https://news.ycombinator.com/item?id=50011265 Points: 2 # Comments: 0

<!-- SC_OFF --><div class="md"><blockquote> <p>We test three <strong>state-of-the-art multi-modal large language models</strong> (GPT-4o, Gemini-1.5-Pro, Gemini-1.5-Flash) and find that <strong>they fail dramatically</strong> when generalization requires that the rules of the game must be manipulated and combined.</p> </blockquote> <p>This is the slap to the face in bold. </p> <p>The catch here is that this statement was written in a paper in 2024 that was brought to ICML conference that year. (

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<div class="hs-featured-image-wrapper"> <a href="https://blog.hubspot.com/marketing/aeo-guide-for-marketing-operations" title="" class="hs-featured-image-link"> <img src="https://blog.hubspot.com/hubfs/AEO-for-marketing-operations-1-20260928-5203566-1.webp" alt="AEO for marketing operations" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"> </a> </div> <p>Buyer behavior has changed since the advent of artificial intelligence. Now, before e

<div class="hs-featured-image-wrapper"> <a href="https://blog.hubspot.com/marketing/aeo-guide-for-demand-generation-teams" title="" class="hs-featured-image-link"> <img src="https://blog.hubspot.com/hubfs/AEO-for-demand-generation-teams-1-20260929-3222468.webp" alt="aeo for demand generation" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"> </a> </div> <p>Demand generation has been built around the assumption that buyers will come to a br