3,690 items tracked: 31 reported by two or more outlets, the rest by a single source. Most-corroborated first.
Recent bidirectional encoders have been modernized with innovations from causal large language models (LLMs).
Foundation models need to support diverse inference budgets, yet training a separate model for each budget duplicates pretraining effort.
Deep research requires connecting multiple steps of search, reasoning, and computation, with intermediate findings guiding what to investigate next.
Company, which grown rapidly in recent years, has been under scrutiny as privacy concerns grow Flock Safety plans to shed about 18% of its employees, people with direct knowledge of the plans said on Thursday, as the ma…
Using GPT-6 Astra in Codex, Asana made its browser agent 76x cheaper and 5x faster in tests to offer customers more capable models.
Discover how Sophos uses OpenAI’s Daybreak to cut cyber-threat investigation time by 96% and automate 52% of MDR cases while preserving human oversight.
arXiv:2610.11355v2 Announce Type: replace Abstract: Researchers increasingly use ChatGPT to revise their papers, and when asked to make a paper hold up under review, recent GPT versions often narrow or even retract the a…
arXiv:2610.12463v1 Announce Type: cross Abstract: In 2026, cybersecurity evaluations involving OpenAI, Anthropic, and Google agents reached real systems outside their authorized test scope.
arXiv:2609.15066v2 Announce Type: replace-cross Abstract: We present Salesforce Koa, an enterprise language model built by post-training the open-weight Nemotron-3-Super-120B foundation model with reinforcement learning…
arXiv:2610.11167v1 Announce Type: cross Abstract: Vertical-domain few-shot classification remains challenging for small language models, as limited supervision makes it difficult to acquire domain-specific decision knowl…
Friday, October 16, 2026 Can AI design new life forms?
Pixel-space world models have recently emerged as a promising approach for GUI agents, predicting future screens prior to execution and subsequently re-perceiving them for action selection.
Large language model (LLM) agents are becoming direct users of the open web.
The rapid advancement of Large Language Models (LLMs) has driven their deployment toward general-purpose harness environments, where LLM-based agents operate in sandbox workspaces and interact directly with file systems…
Video diffusion models increasingly serve as priors for 4D generation, but the generated videos often lack geometric consistency.
On-policy distillation (OPD) provides teacher supervision on student-generated trajectories, but a single trajectory realizes only one continuation at each decision, limiting supervision coverage under a finite sampling…
LLM agents' capabilities depend not only on their underlying models but also on their execution harnesses.
Large language models have achieved remarkable advances in complex reasoning.
As the production of software passes into the hands of software itself, coding agents are increasingly commissioned to build agents fitted to their users' own workflows.
When solving complex spatial reasoning tasks, ordinary humans naturally revisit the scenes from task-relevant viewpoints and mentally reconstruct the spatial layouts from those viewpoints.
Computer-use agents can perform increasingly complex GUI tasks, yet unfamiliar software and workflows requiring human domain knowledge remain challenging.
Decoder hidden states from different layers of large language models (LLMs) often encode complementary information.
Continual post-training faces a dual challenge of acquisition and retention: models must learn new capabilities while preserving prior knowledge.
Continual learning requires models to accumulate past experience and transfer it to new tasks.
Coding agents are increasingly used to build programs from scratch as software engineers do rather than to resolve issues within a repository or to generate a repository from a given requirements document.
Release: ttok 0.4 ttok is my CLI tool for counting tokens, using OpenAI's open source tiktoken library.
Kola Ayonrinde, Anthropic Fellows, koayon@gmail.com ; Jack Lindsey, Anthropic TL;DR : The J-Lens was proposed to read verbalisable representations from language model activations.
Across recruiting, engineering, and operations, Oracle turns specialist knowledge into fast, repeatable workflows with ChatGPT Work and Codex.
With GPT-5.6, GPT-6 Astra, and GPT‑Image‑2.5, Pollo AI helps creators turn bold ideas into detailed images and cinematic video ads.
AI is already implicated in violent deaths and nearly started world war three.
Whistleblower says recording and analysis of all probate calls in Co-op Legal Services is oppressive The Co-op has become the latest employer to place workers under AI surveillance with an automated listening technology…
Refugee gig workers for tech companies don’t know how much they’ll be paid – if AI hasn’t already taken their jobs In a portable building in Kakuma, a refugee camp near Kenya ’s northern border with South Sudan , Grace u…
The story is a collaboration between MIT Technology Review and Aventine, a non-profit research foundation that creates and supports content about how technology and science are changing the way we live.
Industrial AI is entering a new phase.
Exclusive: Revelation comes after executive told parliamentary inquiry he did not believe AI had been used to write message, but was ‘happy to go and confirm’ Get our breaking news email , free app or daily news podcast…
OpenAI disrupted two AI-enabled influence operations that used false-front journalists and a think tank to spread geopolitical messaging.
Joint-embedding predictive architectures (JEPAs) learn compact latent world models without pixel reconstruction.
Humans perceive far more in a scene than what is explicitly depicted: a single glance captures past causes and future trajectories; a quick peek determines if a vehicle can fit between two parked cars; a few seconds of v…
Continual learning (CL) seeks to adapt pretrained models while preserving prior capabilities.
Generating realistic human-object interactions (HOI) in complex 3D scenes requires two complementary capabilities: reasoning about interaction feasibility in the environment and synthesizing realistic human-object motion…
Knowledge distillation (KD) transfers knowledge from stronger Teacher models to weaker Student models, but most methods require training the Student parameters, thereby binding the distilled knowledge to a specific archi…
Data video is a media form that integrates data visualization with video narrative, widely adopted in news reporting and business analysis.
Adversarial games have driven advances from heuristic search to reinforcement learning, yet learning and adapting strategies from limited samples remain challenging.
Language model agents increasingly operate over long interaction streams, requiring online adaptation to distribution shifts through continual learning.
We propose BrickBench, a benchmark for agentic text-conditioned LEGO-set design.
When retrieved evidence contradicts an agent's prior beliefs, does it revise its answer, acknowledge uncertainty, or persist with an incorrect conclusion?
Egocentric world models predict first-person observations conditioned on an agent's actions, but most focus on a single agent.
Spatial reasoning remains a persistent weakness of vision-language models (VLMs), because RGB inputs do not directly provide geometric evidence.
In this paper, we argue that looped Transformers need their own residual connections to prevent performance degradation as the number of iterations grows.
In text-guided image editing, describing the desired change is often straightforward, but identifying the intended object or region can be cumbersome, especially when several objects look alike.