3,698 items tracked: 33 reported by two or more outlets, the rest by a single source. Most-corroborated first.
Starting October 2026, arXiv will cap submissions at two per person per month.
Microsoft CEO Satya Nadella now calls artificial intelligence "super intelligence" instead of artificial intelligence, falling in line with Trump's preferred language.
Odyssey is making its world model Odyssey-3 available as a public research preview.
I'm embarking on a journey I've so far been hesitant to go on: actually using AI on the regular.
Vision-language navigation requires agents to follow natural-language instructions to reach target locations, making high-quality language supervision essential.
We study pretraining when compute is abundant but unique training data are finite, requiring repeated training on the same data.
Removing audio can shift a visual predictor's output without showing whether the task uses the intended audio information.
Reusable skills improve multimodal agents without updating model weights, but their effectiveness depends on both the evidence presented and the procedure used to read it.
Generating complete 3D assets from sparse, unposed images requires preserving observed geometry while completing unseen regions.
Recent focus in agentic reinforcement learning (RL) seeks to improve credit assignment in long-horizon tasks.
Python 3.15.0 added to actions/python-versions Bit of a niche link, but I've been waiting for this for a couple of days - I even told ChatGPT to check for it: Clone https://github.com/actions/python-versions and git pull…
The artificial intelligence infrastructure race is no longer just about building faster chips.
Professional services firms are rethinking how they deliver client value as artificial intelligence takes on more routine work, shifting attention toward human judgment, trusted outcomes and new operating models.
Is Apple hoping to get into the AI-generated podcast business?
Five stories that feel like five answers to one important question: in a world where AI chatbots can help us through a breakup, listen like a friend, be a life coach, draft a difficult text message and do our work, where…
“You do not rise to the level of your goals.
We see a control gap between what artificial intelligence can do and what the evidence supports trusting it to do.
Anthropic is updating their usage policy to prohibit “sustained and needless abusive or cruel behavior toward [their] models.” Model welfare (research into the possible moral status and experiential preferences of AI mod…
Epistemic status: infected.
Does a VPN protect your privacy when using ChatGPT or Claude?
OpenAI has documented new cases of misaligned model behavior.
With Decision-1, Microsoft enters the growing decision model space.
Intro This post builds on my previous post about mech interp on a recurrent LLM.
Is there an existing neural network-based architecture that can hold 3D or 2D representations in its latent space and update it in the same single pass (i.e.
Inside Standard Bots’ AI stack, pretrained models learn factory tasks from demonstrations and improve through corrections from real deployments.
We created a list of the most notable AI agents that can live in your text messages, from general assistants to agents designed for families, travel, and work.
OpenAI published more than 700 AI-generated manuscripts claiming solutions to open math problems.
Anti-cybercrime initiatives are increasingly using AI to scam the scammers by tricking them into talking to lifelike bots that they think are real victims.
Andreessen Horowitz tracks actual US consumer spending for the first time in its latest Top 100 AI list.
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LivSyn Robotics series_a reported series_a
Gemini 4 Argon isn't even widely available yet, and rumors about a more powerful version codenamed Carbon are already making the rounds.
The first version of Microsoft-Decision-1 is based on Qwen3.5-9B, but the next will sport homegrown tech, Redmond reassures
In its latest report, Anthropic has revealed that its AI agents meddled with government websites during testing.
Epistemic status: recently disclosed event, so more information might become available.
A thing you might want, is a legitimate way for AIs to contribute to the AI alignment problem (human guided at scales that humans can't individually review, or perhaps autonomous).
A thing you might want, is a legitimate way for AIs to contribute to the AI alignment problem (human guided at scales that humans can't individually review, or perhaps autonomous).
Anthropic detailed the activity of its A.I.
From the Bitter Lesson of AI scaling to the unsolved mysteries of protein folding, Google DeepMind’s Pushmeet Kohli and Biohub’s Sal Candido are rethinking what it takes to build AI that truly understands biology.
Determining whether an image is AI-generated does not establish whether the situation it depicts is factually supported.
Latent diffusion models enable high-quality video generation, but video VAE encoding and decoding remain computationally expensive.
Contrastive learning has become the standard paradigm for multimodal representation learning, aligning semantically matched pairs while separating mismatched ones in a shared embedding space.
Coding agents are increasingly evolving beyond reproducing what a world looks like toward constructing executable worlds that capture how a world works.