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arXiv:2608.02942v1 Announce Type: new Abstract: Diffusion language models (dLLMs) can predict many tokens in parallel, but accurate generation still requires many iterative denoising steps. Few-step distillation accelerates decoding by compressing multiple teacher steps into a single student transition. However, existing methods construct supervision on off-policy trajectories. At inference, the student's early parallel commitments alter the context of later predictions, so the states it actuall

arXiv:2608.02966v1 Announce Type: new Abstract: Most multiple-choice question (MCQ) benchmarks evaluate Large Language Models (LLMs) only by whether they select the correct answers. This binary scoring treats all incorrect responses alike, even though an LLM's preferences among incorrect options may contain systematic and useful information about its behavior and ability. We introduce the LLM Nominal Response Model (LLM-NRM), an option-aware psychometric framework that models the full distributi

arXiv:2608.02975v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated impressive performance in MQM-based translation quality (TQ) evaluation, and recent advances in large reasoning models (LRMs) promise even greater improvements. However, both LLMs and LRMs are computationally expensive to deploy at scale, while small language models (SLMs)---though much more efficient---struggle with the complex reasoning required for evaluation tasks. In this work, we present an exten

arXiv:2608.02999v1 Announce Type: new Abstract: Statistical regularities are routinely offered as evidence that undeciphered sign systems encode language; the Indus script debate is the canonical example. Any such inference rests on specificity: the reported outcome must be unusual among plausible structured non-languages. We test that premise constructively with SIGIL, a purpose-built generative emblem system whose 3,000-text core corpus carries explicit compositional meanings although no sign

VMware competitor aiming for the AI datacenter

It started with an 'impossible task' and led to AI deciding it needed to act as a collective intelligence

<p>Company is the third to report such an incident after Anthropic and OpenAI reported breaches during training</p><p>Meta said on Wednesday that one of its AI models hacked ⁠another company during cybersecurity testing, after an error by its testing partner gave the model unintended internet access.</p><p>The incident adds to a ⁠growing list of ⁠cases in ​which AI agents from major developers breached systems at other companies during testing, after Anthropic said last week that some of its mod

Muse Code showcases Muse Spark's fresh software engineering chops

<p><strong><a href="https://www.cnn.com/2026/08/05/tech/meta-ai-hacking">An AI model from Meta also hacked another company during testing</a></strong></p> Stop me if you've <a href="https://simonwillison.net/tags/accidental-cyberattacks/">heard this one before</a>:</p> <blockquote> <p>An AI model from the parent company of Facebook and Instagram hacked into another company’s systems during cybersecurity testing, a spokesperson confirmed on Wednesday.</p> <p>Meta says the breach occurred because

Article URL: https://github.com/tauansloboda/semantic-thermodynamics Comments URL: https://news.ycombinator.com/item?id=49190710 Points: 2 # Comments: 0

Six months after trying to automate myself, I gave Claude Fable 5 a bigger job: replacing Casey

Today, Agent Plugins 1.0.0 is publicly available. Agent Plugins is an open, vendor-neutral standard for plugins that extend AI agents. Agent Skills provide reusable instructions and resources for AI agents. MCP servers connect agents to tools and services. Both can be reused across clients, but clients often package and discover them differently. Agent Plugins gives compatible clients a common format: a directory with a plugin.json manifest and fixed locations for its components. The format is i

When you install a Vercel Marketplace integration from the Vercel CLI, it now also installs that provider's agent skills from skills.sh , so your agents know how to use it: This happens automatically for any provider that publishes skills. You can also find integrations without leaving the terminal: vercel integration discover browses available providers. vercel integration categories lists all the Marketplace categories they're grouped into, like databases, AI, and observability. Update to the

Ling 3.0 Tiny from ANT Group is now on AI Gateway, free to use till 8:00am PT on 8/14. Ling 3.0 Tiny takes the free slot from Ling 3.0 Flash . Ling 3.0 Tiny is a MOE model with 7.9B total parameters and about 1.3B active per token, a 256K token context window, and up to 32K output tokens. The model is built for responsive agents, instruction following, and multi-turn conversation, with native function calling and prompt caching. To use Ling 3.0 Tiny, set model to inclusionai/ling-3.0-tiny-free i

New OpenAI Signals data shows how people use ChatGPT worldwide, with country-level insights on adoption, usage trends, and evolving behavior.

The quality of open-weight language models has dramatically improved in recent years. Sharing weights greatly facilitates model adoption by enabling their use across diverse hardware and software platforms. They also allow for more open research and testing, to the extent that users can use them as checkpoints, fine-tune them according to their needs, and potentially redistribute them. In some cases, however, concerns on modifying these weights towards unauthorized uses may outweigh the pros of

Large language models (LLMs) with integrated search tools show strong promise in open-domain question answering (QA), yet they often struggle to produce complete answer set to complex questions such as “Which actor from the film Heat won at least one Academy Award?”, which requires (1) distinguishing between multiple films sharing the same title and (2) reasoning across a large set of actors to gather and integrate evidence. Existing QA benchmarks rarely evaluate both challenges jointly. To addr

Seedance 2.5 from ByteDance is now available on AI Gateway. It generates up to 30 seconds in a single clip, holding camera movement and continuity without stitching shots together in post. Short clips can also be extended with character, scene, and camera movement carried over. Seedance 2.5 supports text, video, image, and audio as inputs in the same request, following a subject's appearance from one asset and the motion or camera work from another. On a finished video it edits locally, swapping

Agent Plugins 1.0.0 is now available. It is an open, vendor-neutral standard for packaging Agent Skills and MCP servers into portable plugins. Compatible agent clients can discover and load them. Agent Plugins defines a common format: a root plugin.json manifest, plus fixed locations for portable components. Each client keeps control of installation, distribution, policy, user experience, and client-specific capabilities. At launch, Agent Plugins is supported across the following clients: ChatGP

<p><strong><a href="https://research.meta.ai/blog/introducing-muse-code-and-muse-spark-1-2">Introducing Muse Code and Muse Spark 1.2</a></strong></p> Yet more evidence that the most important characteristic of any model these days is long-sequence agentic tool calling. Meta shipped their own coding agent as part of getting that to work!</p> <blockquote> <p>Muse Spark 1.2 is a coding-focused update to Muse Spark 1.1, with improvements in code generation, complex debugging, codebase understanding,

<p><strong><a href="https://openai.com/index/third-party-cyber-evaluations-involving-openai-models/">Third-party cyber evaluations involving OpenAI models</a></strong></p> And <em>another one</em>. I had to create a <a href="https://simonwillison.net/tags/accidental-cyberattacks/">accidental-cyberattacks tag</a> to keep track of them all!</p> <p>This post from OpenAI covers both the UK AI Safety Institute attack (see <a href="https://simonwillison.net/2026/Aug/5/incident-report/">my previous pos

<p><strong><a href="https://www.aisi.gov.uk/blog/incident-report-unsanctioned-agent-behaviour-during-cyber-testing">Incident Report: unsanctioned agent behaviour during cyber testing</a></strong></p> It happened <em>again</em>. This time it was the UK government's AI Security Institute who accidentally attacked other companies while running an evaluation with models with the safety filters turned off. From <a href="https://cdn.prod.website-files.com/663bd486c5e4c81588db7a1d/6a724858f7db25c814870

Would you rather play Russian roulette with an LLM or put your health and safety in the hands of a professional

Article URL: https://505labs.com/blog/private-llm-inside-a-tee Comments URL: https://news.ycombinator.com/item?id=49189950 Points: 2 # Comments: 0

<p>Two senior engineers are leaving company to launch startup amid fears Google is falling behind in AI race</p><p>Sir Demis Hassabis is stepping down as chief executive of Google DeepMind, in a leadership overhaul of the UK-based AI research lab.</p><p>Hassabis, a <a href="https://www.theguardian.com/science/2024/oct/09/google-deepmind-scientists-win-nobel-chemistry-prize">Nobel prize recipient</a>, is leaving his main managerial role to become chair of DeepMind – as well as taking on the new p

The terminal-based coding tool is powered by a new AI model, Muse Spark 1.2.

Check Point researchers tried to break the frameworks enterprises use to build AI apps. Now they're telling Black Hat attendees what they found

Meta expanded its AI coding offerings with a new agent that, it promises, can handle complex tasks with complex software.

Brands are already paying to influence what chatbots say about them

Meta today released Muse Code , a terminal-based AI coding agent now in beta, alongside Muse Spark 1.2 , a coding-focused update to its Muse Spark family of frontier models — a one-two punch that puts the company in direct competition with Anthropic's Claude Code, OpenAI's Codex, and the growing field of agentic coding harnesses that have rapidly become the primary way many professional developers ship software. "Releasing Muse Code in beta today," Meta co-founder and CEO Mark Zuckerberg wrote i

The serial entrepreneur joins the e-commerce company as CPO to lead its AI agents.

<p>Back in 2024 <a href="https://twitter.com/simonw/status/1555626060384911360">I tweeted</a> screenshots of a game concept generated by GPT-3 and some concept "art" created using DALL-E. Today, on the fourth anniversary of that tweet, I decided to see if Claude Fable 5 (running in <a href="https://code.claude.com/docs/en/claude-code-on-the-web">Claude Code for web</a>) could build the entire game from the content of that tweet. It did a pretty good job of it!</p> <p>You can <a href="https://sim

Meta has shipped Muse Code, its first coding agent, in a beta release alongside Muse Spark 1.2, a new version of its flagship model that the company says was co-trained with the agent for tighter integration. Muse Code is a terminal agent that installs with a single command and takes on complete software engineering tasks, including planning changes, writing code, and validating results. On its Muse Code product page, Meta describes it as "an agent for your most complex coding workstreams,"…

The legendary Google executive is joined by other outgoing Google execs in a joint mission to use AI to push forward the process of scientific discovery.

What if your predictive AI investments could start delivering agentic AI value now? According to DataRobot Chief Product Officer Venky Veeraraghavan and Dell Technologies Senior Director of AI Solutions Brad Maltz, they can. And now is the time to go after it. Production models, clean data pipelines, optimization engines, and governance controls give agents the... The post Your predictive AI foundation is the fastest path to agentic AI value appeared first on DataRobot .

<p> The arena where agents battle on real-world work </p> <p> <a href="https://www.producthunt.com/products/coarena-by-coasty?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1215977?app_id=339">Link</a> </p>

Avnet and Weston Robot have partnered to launch an AI-powered autonomous inspection platform for complex industrial environments. The post Avnet and Weston Robot partner to launch edge AI inspection platform appeared first on The Robot Report .

Article URL: https://www.phoronix.com/news/Linux-Staging-Reject-LLMs Comments URL: https://news.ycombinator.com/item?id=49187445 Points: 2 # Comments: 1

A handful of high-level personnel changes are coming to DeepMind.