2026-07-15

Very impressive release by the PrismML team. 1-bit quantization shrinks it from 54GB to just 3.8GB (-93%), while retaining 90% of its intelligence. - Collection on Hugging Face: - Demo link:

EDIT : "near fp16 precision" I intended performance in terms of benchmarks/output. Obviously 1,0,-1 cannot be fp16. Bad word choice :) EDIT 2 : Now that more people have tested it reported in, consensus (and my own stuff on more doc/retrieval tasks) is this lands better than Q2 but clearly worse than Q4_K_XL. Hallucinates more, tool-calling loops, etc (using Pi harness). The real story is memory footprint at this quality, which is still nice. Title overstated it - got excited lol. Leaving the po

OpenCoreDev has published Domain SDK 0.2.0, a TypeScript client for the custom domain lifecycle. It covers Vercel, Cloudflare for SaaS, Railway, Render, and Netlify behind one API. Status is modeled as an eight-value union, with separate verification and certificate fields. The post OpenCoreDev Releases Domain SDK 0.2.0: One TypeScript API to Add, Verify, and Remove Customer Domains Across Five Platforms appeared first on MarkTechPost .

Personal AI assistants on mobile and wearable devices continuously perceive users' daily lives through visual and audio streams. However, answering queries about past experiences requires lightweight multimodal memory that can continuously accumulate, organize, and retrieve long-term experiences, which remains challenging. To address this challenge, we present LightMem-Ego, a lightweight streaming multimodal memory system for everyday-life assistance. The system continuously captures egocentric

New TIL: Using uvx in GitHub Actions in a cache-friendly way I finally found a recipe that I like for running `uvx tool-name` in GitHub Actions without downloading a fresh copy of the package every time til.simonwillison.net/github-actio...

Mistral AI introduced Robostral Navigate, an 8B embodied navigation model. It moves robots from a plain-language instruction using only a single RGB camera, with no LiDAR or depth sensors. The model reaches 76.6% success on R2R-CE validation unseen through a pointing method, prefix-caching training, and CISPO online reinforcement learning. The post Mistral AI Releases Robostral Navigate: An 8B Model Enabling Robots to Navigate Complex Environments Using a Single RGB Camera appeared first on Mark

a quiet day lets us fact check some numbers against the sound of silence of Claude Code reporting...

Metacognition is a foundational component of intelligence critical to effective learning, problem solving, decision-making, communication, and more. In recent years, it has become increasingly recognized as a cornerstone of capable, transparent AI systems. Yet while LLMs have made significant progress across diverse real-world tasks, it is not yet clear when, how, or to what extent they can exhibit or be endowed with effective metacognitive abilities, nor how such abilities can be adapted to adv

Fine-tuning LLMs to inject new knowledge faces a critical challenge: LLMs can quickly memorize new facts, yet fail to use them for downstream reasoning tasks. We formalize this failure as the \textbf{Knowing--Using Gap}, characterized by an accuracy gap and a temporal lag between memorization and generalization. To understand this phenomenon, we fine-tune LLMs with unseen knowledge and monitor the spatial permeation dynamics of the knowledge internally using a novel intervention technique called

Thanks to all contributors for our local inference!

In this tutorial, we reconstruct the VideoAgent workflow as a runnable, API-key-free multi-agent pipeline. We build an intent parser, an agent library, a tool router, a graph planner, and a textual-gradient optimizer that repairs the execution graph. We wire these planning components to FFmpeg, Whisper transcription, scene detection, keyframe sampling, captioning, cross-modal indexing, and beat-synced editing. By the end, we have a system that answers questions about a video, summarizes it, and

New York’s data center moratorium may become the blueprint for anti-AI movement.

arXiv:2607.09698v1 Announce Type: new Abstract: Recent latent reasoning methods, such as CODI and COCONUT, face a fundamental interpretability problem: they maintain multiple superimposed candidate traces in the hidden space at each step, unlike explicit- CoT, which follows a single transparent reasoning trace. Existing mechanistic methods show compression, shortcuts, and superposition without explaining how reasoning evolves across latent steps. To address this gap, we model latent token sequen

New York has become the first state to temporarily halt approval of large data centers, as Gov. Kathy Hochul argues the AI-driven building boom shouldn’t come at the expense of higher electricity costs, water supplies, or local control.

Release: datasette 1.0a37 A minor release. Performance and documentation improvements to the permissions system, plus I reverted a cosmetic API change which caused almost every existing plugin test suite to break. Tags: datasette

With residential proxies all the rage, CISA urges router users to be vigilant.

Try it on Compiler Explorer: Check out the source code:

arXiv:2607.09665v1 Announce Type: new Abstract: Prompt wrappers often differ only in formatting, yet they can change model scores enough to flip leaderboard conclusions. We study this variance under a token-controlled protocol and introduce two complementary metrics: the Format Sensitivity Index (FSI), the accuracy range induced by wrapper choice, and the Parseability Sensitivity Index (PSI), the corresponding range in answer parseability. Across 140,000 OpenRouter generations spanning 7 QA task

Large language models (LLMs) have achieved remarkable performance on high-school and olympiad-style mathematics, yet their capabilities on advanced mathematics remain poorly understood. Existing benchmarks, however, fall short in both scope and evaluation granularity: they provide limited disciplinary coverage and often rely on final-answer correctness or coarse judgments, leaving the validity of the reasoning process inadequately assessed. To bridge this gap, we introduce AdvancedMathBench, a b

TIL: Using uvx in GitHub Actions in a cache-friendly way I finally found a cache-friendly recipe for using uvx tool-name in GitHub Actions workflows that I like. The trick is setting a UV_EXCLUDE_NEWER: "2026-07-12" environment variable at the start of the workflow and then using that as part of the GitHub Actions cache key. This means any uvx tool-name commands will resolve to the most recent version as-of that date, and you can bust the cache and upgrade the tools by bumping the date in the fu

Long-context processing has become increasingly important for large language models (LLMs), but simply extending the context window does not guarantee effective utilization of long inputs. As input length grows, accuracy often degrades, indicating that models still struggle to identify and use the evidence most relevant to a question. A promising way to improve long-context utilization is test-time training (TTT), which treats the test context as a training example for instance-specific paramete

Tweet : KAT-Coder-Air V2.5 is available on Openrouter . Somebody please check & let us know about this model. KAT-Coder-V2.5 Technical Report

Source: From kimi test page .They down the page now

Dependabot now waits until a new release has been available on its registry for at least three days before opening a version update pull request. This cooldown is now the default and requires no configuration. — GitHub Changeling , embracing dependency cooldowns Tags: dependency-cooldowns , packaging , security , github

arXiv:2607.09713v1 Announce Type: new Abstract: A key step toward autonomous industrial operation is the ability to create and reconfigure control policies from natural-language requirement specifications, with minimal or no manual redesign. In this setting, policy generation by AI agents can be a credible path when paired with a plant-aware validator (e.g., a digital twin) that can check generated candidate actions before execution. However, practical deployment is constrained by inference late

DeepMind CEO Demis Hassabis is proposing an AI "standards body" modeled after FINRA, to test frontier models and develop best practices for their release.

Instagram head Adam Mosseri believes companies will eventually need to manage AI token spending the same way they manage payroll or other operating expenses, predicting that engineers could soon face limits on how much they spend using AI tools.

The shared language of a software project is not English or Python but it is the common understanding of what its concepts mean, where the boundaries are, which invariants matter, who owns what, and why the system has the shape it does. This language is rarely written down in one place. It lives partly in documentation and code, but also in code review, conversations, arguments, and the experience of having to explain a change to somebody else. Before agents, some of this shared understanding wa

New York has become the first US state to place a moratorium on the construction of data centers.

arXiv:2607.09706v1 Announce Type: new Abstract: Language models turn a worded situation into a numeric plan, and the dominant pipelines (NL4Opt, OptiMUS, ORLM, OR-LLM-Agent) commit to a single objective and point-valued coefficients, then solve once. For decisions that allocate real budget, effort, or clinical attention, that confidence is the failure mode: every objectified number is an assumption, and a plan optimal only if the guesses are exactly right is fragile -- mimicry of computation. YU

arXiv:2607.09664v1 Announce Type: new Abstract: To provide a structured and interpretable assessment, we decompose the image-based diagnosis into components following the Toulmin model of argumentation. This model consists of a claim, grounds, warrant, qualifier, rebuttal, and backing. Consider a claim generated by a machine learning (ML) model for retinal diagnosis. Rather than accepting this claim at face value, one could either apply explainable AI (XAI) methods or adopt an argumentation-base

See how data science teams can use ChatGPT Work to build root-cause briefs, impact readouts, KPI memos, scoped analyses, and dashboard specs from real work inputs.

MORPHEUS from Skyfall AI is a persistent enterprise simulation platform for continual reinforcement learning. It runs worlds that never reset, using parameterisable regime shifts and a six-metric evaluation protocol. Across the platform, PPO, HER, EWC, and LCM all remain far below the theoretical upper bound. The post Skyfall AI Releases MORPHEUS: A Persistent Enterprise Simulation Benchmark That Makes Continual Reinforcement Learning Necessary Under Structured Non-Stationarity appeared first on

Today I had an eye opening security scare with my homelab. I was making some dinner and went to browse reddit while I waited for my food to cook, the page wouldn't load, and my first thought was maybe my dns was down (I use pihole with unbound recursive dns). I checked my pihole dashboard, and it was operational, no issues there. I did notice that there were a few STUN requests from my ugreen nas, which I thought were unusual, having a loose understanding of what STUN is from reading the tailsca

I know there are a few american labs working on open-source AI but none of them show up in the benchmarks like Chinese open source does, why haven't any American labs been able to reach top open source benchmarks yet?

Hello, I created this when I was suffering from hand pain due to mouse usage. It runs 100% locally. I've optimized it as best as I can so it should run pretty well even on old hardware. You don't need a powerful gpu to run it. Sometimes it hallucinates a bit but overall it works pretty well, I'll make sure to continue to improve it. Neverclick is free to download and use, I've worked really hard on this so I'm a bit worried that if I release the source code that someone will steal it and charge

Meta cut its workforce by 10 percent in May.

Meta denies using AI to terminate workers with disabilities and medical problems.

A new study found that social media platforms are referring people to sites where they can create nonconsensual, sexually explicit deepfakes for as little as $1 an image.

Hachette, Cengage, Elsevier, and other publishers allege that Google trained its AI on copyrighted works without the necessary permissions.

Learn how enterprises can manage AI investments in the agentic era by measuring useful work per dollar, improving efficiency, and scaling high-value workflows.

We're introducing Claude for Teachers , providing verified K-12 educators in the US free access to premium Claude capabilities, a library of teaching skills, and a direct connection to evidence-based curricula, mapped to academic standards in all 50 states. Why we’re building for teachers Decades of research show that practices like differentiation, mastery-based learning, and small group instruction reliably improve student achievement, but teachers are often short on time and resources to impl