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Deploy Kimi K2, GPT-OSS, DeepSeek, Qwen 3, and more with Baseten Model APIs. Get leading performance and _the_ most competitive time to first token on open source LLMs. Baseten's inference runtime unlocks production performance at any scale.
Google's Gemma 3 270M is a compact 270 million parameter model designed for task-specific fine-tuning that offers strong instruction-following and text structuring capabilities. The model ensures extreme energy efficiency - it only uses 0.75% battery for 25 conversations on a Pixel 9 Pro SoC. Ideal for high-volume, well-defined tasks, it allows for rapid iterations and on-device processing to reduce costs and ensure privacy.
OpenAI is preparing a Chromium-based browser that will use Agent mode to control actions. Agent mode is being updated to choose between operating on a remote cloud/virtual browser and a first-party local browser. It looks like the cloud browser feature will only be enabled as a fallback when using OpenAI's upcoming browser.
Cohere raised $500 million at a $6.8 billion valuation, marking a $1.3 billion increase from its previous round just over a year ago. The Toronto-based company has carved out a distinct position targeting enterprise security rather than consumer applications, recently nabbing longtime Meta research head Joelle Pineau as chief AI officer.
Meta's DINOv3 is a scalable self-supervised learning model that delivers state-of-the-art results across varied image domains like web and satellite imagery.
"Doomprompting", the cycle where AI interactions devolve from purposeful queries into mindless iteration loops, has become a new form of digital addiction. What starts as intentional problem-solving degrades into passive negotiation with systems that offer infinite variations without genuine understanding. Unlike doomscrolling's passive consumption, doomprompting creates an illusion of productivity where users feel they're thinking and creating while they're actually outsourcing cognitive effort.
Anthropic's Model Context Protocol (MCP) standardizes LLM tool use. It is quickly becoming the norm for tool integrations. Despite MCP's rapid adoption, experiments show that models often failed to use tools effectively, with GPT-5 performing best but struggling when limited to only relevant tools. This highlights ongoing challenges in generalizing tool use and optimizing AI agent performance in complex scenarios.
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Crystal is an Electron desktop application that lets users run, inspect, and test multiple Claude Code instances simultaneously using git worktrees. Users can resume conversations anytime and test changes instantly without leaving Crystal. Crystal has built-in rebase and squash operations, and users can view diffs and track modifications. It allows users to test, compare approaches, and manage AI-assisted development workflows in one desktop app.
OpenCUA provides a comprehensive open-source toolkit for building computer-use agents that includes data collection tools, training pipelines, and 22K human demonstration trajectories across three operating systems and 200+ applications. Its key innovation is "reflective long Chain-of-Thought" reasoning that helps agents identify and recover from errors during multi-step tasks.
A theoretical framework explaining how transformers perform factual-recall ICL tasks using vector arithmetic. It builds on hierarchical concept modeling to show that nonlinear residual transformers trained with gradient descent converge on 0-1 loss.
Whether chain-of-thought reasoning is real or not is primarily a philosophical question. It depends on having a clear definition of what 'real' reasoning is, and there is no single consensus definition of ideal reasoning. Good model reasoning papers both directly assess the quality of human reasoning skills, or ideally, provide a tight philosophical definition of what 'real' reasoning is, and use tasks that actually require reasoning rather than simply computation. They use tasks that have many paths to success and don't draw sweeping conclusions about 'real' reasoning.
Parag Agrawal, Twitter's former CEO, started a company called Parallel Web Systems Inc. after being fired by Elon Musk. The company has built an infrastructure product to help AI agents search the web to find the most accurate information. One of its initial product lines is an API called 'deep research' that draws from a variety of relevant data sources on the web to create an organized analysis with citations and confidence scores that measure reliability. While Agrawal likes to say his customer is the AI agent itself, for now, Parallel's customers are developers and businesses that want to integrate its tools into their AI workflows.
This new interactive site from OpenAI compares how its models respond to identical prompts.
Perplexity extended its Comet assistant to Enterprise Pro subscribers, enabling secure AI-enhanced browsing and research.
A significant number of investors use ChatGPT in ways that influence their trading decisions and market outcomes.
Qwen Chat Deep Research now supports image and file inputs, expanding its capabilities beyond text-only analysis.