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After nine years, most recently at Fastly and before that at Glitch (and Fog Creek), I am very soon (finally!) going to be taking some time off from working to catch my breath and clear my mind and focus on the new Mario Kart. And, you know, spend time my family and friends ...

Dan Abramov in “Static as a Server”: Static is a server that runs ahead of time. “Static” and “dynamic” don’t have to be binaries that describe an entire application architecture. As Dan describes in his post, “static” or “dynamic” it’s all just computers doing stuff. Comp...

My personal Core 2 Duo, featuring irek’s beautiful Brutal watchface Hopefully you have pre-ordered a Core 2 Duo watch - if not, you…

[on the cheaper o3] Not quantized. Weights are the same.

If we did change the model, we'd release it as a new model with a new name in the API (e.g., o3-turbo-2025-06-10). It would be very annoying to API customers if we ever silently changed models, so we never do this [1].

[1] chatgpt-4o-latest being an explicit exception

— Ted Sanders, Research Manager, OpenAI

Tags: generative-ai, openai, o3, ai, llms

Microsoft today released security updates to fix at least 67 vulnerabilities in its Windows operating systems and software. Redmond warns that one of the flaws is already under active attack, and that software blueprints showing how to exploit a pervasive Windows bug patched this month are now public. 

I heard you like linting.

Personal update post.

After nine years, most recently at Fastly and before that at Glitch (and Fog Creek), I am very soon (finally!) going to be taking some time off from working to catch my breath and clear my mind and focus on the new Mario Kart. And, you know, spend time my family and friends ...

After nine years, most recently at Fastly and before that at Glitch (and Fog Creek), I am very soon (finally!) going to be taking some time off from working to catch my breath and clear my mind and focus on the new Mario Kart. And, you know, spend time my family and friends ...

(People are often curious about how much energy a ChatGPT query uses; the average query uses about 0.34 watt-hours, about what an oven would use in a little over one second, or a high-efficiency lightbulb would use in a couple of minutes. It also uses about 0.000085 gallons of water; roughly one fifteenth of a teaspoon.)

— Sam Altman, The Gentle Singularity

Tags: sam-altman, generative-ai, ai-energy-usage, openai, chatgpt, ai, llms

AI-assisted coding for teams that can't get away with vibes This excellent piece by Atharva Raykar offers a bunch of astute observations on AI-assisted development that I haven't seen written down elsewhere. Building with AI is fast. The gains in velocity are important, bec...

o3-pro OpenAI released o3-pro today, which they describe as a "version of o3 with more compute for better responses". It's only available via the newer Responses API. I've added it to my llm-openai-plugin plugin which uses that new API, so you can try it out like this: llm i...

OpenAI just dropped the price of their o3 model by 80% - from $10/million input tokens and $40/million output tokens to just $2/million and $8/million for the very same model. This is in advance of the release of o3-pro which apparently is coming later today.

This is a pretty huge shake-up in LLM pricing. o3 is now priced the same as GPT 4.1, and slightly less than GPT-4o ($2.50/$10). It’s also less than Anthropic’s Claude Sonnet 4 ($3/$15) and Opus 4 ($15/$75) and sits in between Google’s Gemini 2.5 Pro for >200,00 tokens ($2.50/$15) and 2.5 Pro for <200,000 ($1.25/$10).

I’ve updated my llm-prices.com pricing calculator with the new rate.

How have they dropped the price so much? OpenAI's Adam Groth credits ongoing optimization work:

thanks to the engineers optimizing inferencing.

Tags: generative-ai, openai, o3, llm-pricing, ai, llms

Becoming IBM Compatible

Magistral — the first reasoning model by Mistral AI Mistral's first reasoning model is out today, in two sizes. There's a 24B Apache 2 licensed open-weights model called Magistral Small (actually Magistral-Small-2506), and a larger API-only model called Magistral Medium. Mag...

Dan Abramov on his blog (emphasis mine): The division between the frontend and the backend is physical. We can’t escape from the fact that we’re writing client/server applications. Some logic is naturally more suited to either side. But one side should not dominate the othe...

I don't think I've ever felt more tension in the room during a live performance than when I was standing five feet in front of Sly Stone, in a room that felt like a powder keg ready to blow. And I don't think I've ever seen a room feel greater relief than watching him tear i...

The process of learning and experimenting with LLM-derived technology has been an exercise in humility. In general I love learning new things when the art of programming changes […] But LLMs, and more specifically Agents, affect the process of writing programs in a new and confusing way. Absolutely every fundamental assumption about how I work has to be questioned, and it ripples through all the experience I have accumulated. There are days when it feels like I would be better off if I did not know anything about programming and started from scratch. And it is still changing.

— David Crawshaw, How I program with Agents

Tags: coding-agents, ai-assisted-programming, generative-ai, ai-agents, ai, llms

OpenAI hits $10 billion in annual recurring revenue fueled by ChatGPT growth

Noteworthy because OpenAI revenue is a useful indicator of the direction of the generative AI industry in general, and frequently comes up in conversations about the sustainability of the current bubble.

OpenAI has hit $10 billion in annual recurring revenue less than three years after launching its popular ChatGPT chatbot.

The figure includes sales from the company’s consumer products, ChatGPT business products and its application programming interface, or API. It excludes licensing revenue from Microsoft and large one-time deals, according to an OpenAI spokesperson.

For all of last year, OpenAI was around $5.5 billion in ARR. [...]

So these new numbers represent nearly double the ARR figures for last year.

Tags: openai, llms, ai, generative-ai

WWDC: Apple supercharges its tools and technologies for developers Here's the Apple press release for today's WWDC announcements. Two things that stood out to me: Foundation Models Framework With the Foundation Models framework, developers will be able to build on Apple Int...