I think I have an idea why we're so extremely divided on AI: it's because we have an intuitive sense of who it stands to benefit, and who stands to pay the costs. I think whether you see reason for optimism has a lot to do with which group you see yourself in.
Agents used to be a thing you talked to synchronously. Now they’re a thing that runs in the background while you work. When you make that change, the …
How we do active and passive monitoring on hyperscalers and neoclouds.
Thomson, the company's proprietary LLM, was trained and is run at a fraction of the cost of comparable frontier models and remains fully owned and controlled by Thomson Reuters
We’re expanding Game Arena with Poker and Werewolf, while Gemini 3 Pro and Flash top our chess leaderboard.
LocalAI is the open source AI engine. Run any model, LLMs, vision, voice, image and video, on any hardware. No GPU required.
Practice machine learning engineering with hands-on coding challenges. Implement neural network components, backprop, and more — from scratch.
From a single pilot to an air campaign: planning, parallelism, memory, verification, and observability for production-shaped agents.
What’s going on with the AI builder community right now?
Wiki Builder is an open-source Claude Code plugin that turns the LLM-knowledge-base workflow into a one-command setup. Scaffold a configurable wiki, point Claude at sources, and let the agent compile durable pages, indexes, and concept maps for you.
Instead of just learning how to use a deep learning library, we are going to learn how to create one.
I’ve been going round and round in my mind about a particular discussion around LLMs: are they really similar to compilers? Are we headed toward a world where people don’t look at the underlying code for their programs?
A personal note for the non-tech people in my life on what AI is starting to change — why it's moving faster than you think, and what to do about it.
Why AI doom rhetoric from Anthropic, OpenAI and other tech leaders functions as hype, regulatory strategy, and a distraction from present harms.
We don't believe in model routing anymore. For most use cases, sticking to a single battle-tested model is the best thing you can do.
Meet GPT-5.6-Cyber, OpenAI’s cybersecurity-specific model available through Daybreak Red for authorized vulnerability research, exploit validation, and security testing.
The expanded form of a testimony I prepared for Congress.
How to use HTTP proxies to prevent credential exposure in Claude Code sandboxes.
Subquadratic is a frontier AI research and infrastructure company building a new class of LLMs.
Cache reads are quadratic and dominate your long agentic conversations.
And why you should ignore demo videos
data centers are so cool there should be one in every house
Minions are Stripe’s homegrown coding agents, responsible for more than a thousand pull requests merged each week. Though humans review the code, minions write it from start to finish. Learn how they work, and how we built them.
A deep dive into the DeepSeek-V4.1 Flash technical report: CED, CSA2, HSI, Single-Pass mHC, Engram and FP4 KV Cache — how the KV cache was compressed to just 890 bytes per token.
A given level of LLM intelligence costs about a thirtieth of what it did a year ago, and the rate of decline is accelerating. Using Artificial Analysis's…
Natural language is a wonderful interface, but just because we suddenly can doesn't mean we always should.
An AI assistant that builds reactive UIs mid-conversation — forms, streaming data, callbacks — using markdown code fences and a mount() UI primitive.
