Large Language Models

arXiv:2602.10525v2 Announce Type: replace-cross Abstract: Long-horizon workflow agents that operate effectively over extended periods are essential for truly au

arXiv:2602.20945v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) consistently benefit from scaled Chain-of-Thought (CoT) reasoning, but al

arXiv:2602.21424v2 Announce Type: replace-cross Abstract: Reinforcement learning (RL) agents under partial observability often condition actions on internally a

arXiv:2603.00523v2 Announce Type: replace-cross Abstract: Every mechanistic circuit carries an invisible asterisk: it reflects not just the model's computation,

arXiv:2603.01038v2 Announce Type: replace-cross Abstract: Face recognition remains vulnerable to presentation attacks, calling for robust Face Anti-Spoofing (FA

arXiv:2603.12180v2 Announce Type: replace-cross Abstract: Multimodal agents offer a promising path to automating complex document-intensive workflows. Yet, a cr

arXiv:2603.12277v2 Announce Type: replace-cross Abstract: Language models remain vulnerable to prompt injection attacks despite extensive safety training. We tr

arXiv:2603.15727v2 Announce Type: replace-cross Abstract: Autonomous LLM-based agents increasingly operate as long-running processes forming densely interconnec

arXiv:2603.16513v2 Announce Type: replace-cross Abstract: Structured data is foundational to healthcare, finance, e-commerce, and scientific data management. La

arXiv:2603.18062v2 Announce Type: replace-cross Abstract: Skeleton-based action recognition is crucial for multimedia applications but heavily relies on power-h

arXiv:2603.18123v2 Announce Type: replace-cross Abstract: Foundation models promise to unify multiple clinical tasks within a single framework, but recent ultra

arXiv:2603.18196v2 Announce Type: replace-cross Abstract: Investigating cybersecurity incidents requires collecting and analyzing evidence from multiple log sou

arXiv:2603.18202v2 Announce Type: replace-cross Abstract: A central challenge in image-based Model-Based Reinforcement Learning (MBRL) is to learn representatio

arXiv:2603.18377v2 Announce Type: replace-cross Abstract: Cloud-hosted large language models (LLMs) have become the de facto planners in agentic systems, coordi

To address the novel safety challenges posed by a state-of-the-art video model as well as a new social creation platform, we’ve built Sora 2 and the Sora app wi

Nvidia announcements show the current shortage of storage and memory could continue into the future, driving up prices and the value of the companies that produ

The case for why self-improvement is real but it doesn't lead to fast takeoff.

Building on top of a Chinese model feels particularly fraught right now.

Alexa+ is now available in the U.K., with careful localization. Amazon’s Panos Panay explains why the generative AI upgrade is ready for British homes.

OpenAI co-founder Andrej Karpathy says December 2025 was the inflection point. The data — and the job market — are beginning to agree.

this article explains the reasons that Paul Baier stopped using OpenClaw. These are the rawness of the software and lack of security

Tesla Full Self-Driving and General Motors Super Cruise are seminal technologies. But vehicle AI is not flawless and drivers don’t always understand its limitat

A step-by-step guide to making your OpenAI apps faster, cheaper, and more efficient The post Prompt Caching with the OpenAI API: A Full Hands-On Python tutorial

Shortly after Amazon announced its $50 billion investment in OpenAI, AWS invited me on a private tour of the chip lab at the heart of the deal.

Beneath the highly visible yet often counterproductive AI consumption race lies a far more consequential one: the race for AI production.

It's critical is to identify and bring along the power users who will expand the capabilities of AI. But where are they?

In her QCon London keynote, Birgitta Böckeler, AI-Coding lead at Thoughtworks, reflected on the changes in the AI coding space over the past year. She emphasise

I have created four sets of taxonomies checklists to invoke AI personas for a synthetic therapist, client, therapist-supervisor, and therapy evaluator. An AI In

Hachette Book Group said it will not be publishing “Shy Girl” over concerns that artificial intelligence was used to generate the text.

Apple restricts vibe-coding apps; coding itself legal, but publishing insecure AI apps may trigger liability.

Despite investor fears of an AI bubble, Nvidia's latest conference shows that most in the industry aren't concerned by that possibility.

Recent developments in AI make this clear: an AI system with intelligence but without integrity is structurally unfit for civilization.

Article URL: https://www.economist.com/science-and-technology/2026/03/18/the-next-phase-of-artificial-intelligence-may-require-very-different-processors Comment

I recorded videos of myself doing laundry, scrambling eggs, and walking around the park in DoorDash’s new Tasks app, where gig workers are paid to train AI.

Agents are coming. Here are four ways to prepare for the AI-powered workplace revolution.

Stop using ChatGPT on factory settings. Here are the top adjustments I use to make it a pro tool.

Monolith is ByteDance’s real-time recommendation system that updates itself using live user behavior instead of waiting for batch retraining. It solves major is

IBM’s Granite Code models are a new family of AI systems built to handle real-world coding tasks—writing, fixing, explaining, and translating code across 116 la

AI is being cringy. OpenAI has decided to reduce the cringe factor of ChatGPT. Here's the deal. Don't expect miracles. An AI Insider scoop.

Anthropic submitted two sworn declarations to a California federal court late Friday afternoon, pushing back on the Pentagon's assertion that the AI company pos

The Department of Defense alleges the AI developer could manipulate models in the middle of war. Company executives argue that’s impossible.

Every GTC announcement made sense once you understood the single question Nvidia was answering: what happens to compute demand when AI stops waiting to be asked

The company is reducing Copilot entry points on Windows, starting with Photos, Widgets, Notepad, and other apps.

This paper shows how to speed up AI on edge devices by splitting neural networks across multiple machines instead of relying on the cloud. It introduces a metho

CEO Jensen Huang took the stage at Nvidia’s GTC conference this week in his signature leather jacket to deliver a two-and-a-half-hour keynote, projecting $1 tri

AI is now foundational infrastructure. The next decade belongs to cyber-physical systems, distributed compute and those who control the stack from algorithm to

Nvidia’s new AI upscaling gaming technology struck gamers as uncanny and off-putting. Developers don't seem to like it, either, but it could be “the default” in

Commentary: OpenAI reportedly wants one app for everything, and I'm here for it.