
Clive Chan
2.3K posts

Clive Chan
@itsclivetime
perplexity per picojoule @anthropicai // prev jalapeno @openai, dojo @tesla





chips get all the love but the interconnects across all levels from c2c to rack-to-rack are as important, and many chip makers are sleeping on it until very recently. Even most interconnects people just want it to be as transparent as possible, just send and receive the bits with lower error rates and lower energy per bit, wrong long-term direction imo. Interconnects are part of the living creature, so many things happening in your blood vessels in addition to just moving stuff, and your axons do much more than carrying spikes. People do not appreciate interconnects, smaller volume, poor margin, messy ecosystem, manual process, it's been a spiral of grinding, and it is largely invisible. How often do you see people tearing down transceivers and die shot of DSP chips vs logic chips? How often do you see high res pictures of all the connector's gold fingers on the NVL72 cartridge? Because it sounds boring, it's just making contacts, shoving electrons and photons, what a simple problem. But that is deceiving, and theres so much to it. You might want 576 to begin with, had to cut down to 288, then to 144, and finally to 72, and that barely worked first time. You are entering the domain of analog and mixed signaling, you are fighting copper real estate with power delivery, you are getting impedance mismatch and reflections and interference at every stupid interfaces, your optical components' and connectors' backreflection is making your laser mode hop.. And we are not even going into the thermal and strain-stress, the reliability of how many times you can actually mate your connector, the horrible jobs people are doing across the stack from science-project-originated photonic PDKs to hand cleaved laser dies to optical engines to rack manufacturing, on spec-ing out the requirements, the tolerances.. On top of all these, people thinking about where the bits should be going and people who know what the bits have to go thru are two totally different groups of people. But it is shifting, pluggable volumes shipped are doubling and tripling for scale-out, scale-up domain asks for much higher bw than scale-out, and interconnects are inevitable even if you cram as much compute and memory onto a single wafer. People will see it always has been interconnects, the chips people have already been doing it on the chips, that you can sort it out with your chip designers and foundries, and now you need to work with more people to sort it out from chips to boards/trays to racks to pods to data halls and data centers. These people speak very different languages and care about very different things, and it will take a lot of effort to pull order out of all the chaos. At the end of the day, it is such a crazy problem to work on, such a beautiful thing to make, millions of amps of current flipping 1e20 of flops, sextillions of photons carrying thousands of terabits per second, a few tons of copper, tens of thousands of fibers totally few hundred kilometers, one scale-up domain. You absolutely need a group of people that appreciate the beauty and care about the craft behind the grinding to make it together.

Claude Fable 5 will be available again globally tomorrow. After a series of productive conversations with the US government, we're redeploying the model with a new set of classifiers to target and block more cybersecurity tasks. In the near term, some routine tasks like coding and debugging will fall back to Opus 4.8. We’ll continue to refine these classifiers over the coming weeks to reduce false positives and better distinguish genuine misuse from legitimate requests. We’ve also begun drafting a consensus framework—with Amazon, Microsoft, Google, and other Glasswing partners—for assessing the severity of AI jailbreaks and how AI developers should respond to them. We invite other industry partners and model providers to join us in this effort. Finally, we’re scaling up our collaboration with the US government on model testing and safeguards. This will include pre-release access to models and safeguards for evaluation, information sharing on jailbreaks and misuse, and dedicated resources for joint research. Thank you to our users for your patience, and to our partners across the government, industry, and the research community who worked alongside us to make Fable 5 available again. Read our full blog: anthropic.com/news/redeployi…

We're coming out of stealth. We've built our first racks after a successful A0 tapeout, $1B+ in customer contracts, and $800m raised. Early customer tests show us achieving SOTA throughput, latency, and power efficiency on inference workloads. Our first racks ship this summer.



We’ve designed and built our first AI chip: Jalapeño. Designed from the ground up by OpenAI and brought to production with @Broadcom, Jalapeño is purpose-built for the LLM workloads powering ChatGPT, Codex, the API, and future agentic products. Chips are foundational to the AI economy. Building our own expands our full-stack platform from products to models to infrastructure, and will help us scale intelligence, serve more people, and expand access to AI.



SoftBank’s investor presentation is one of the greatest things ever made. I’ve been thinking about it all day. These are the real slides shown in a speech where Masayoshi Son said he wouldn’t retire for at least another decade. The goose stuff is perfect. group.softbank/media/Project/…

We’ve designed and built our first AI chip: Jalapeño. Designed from the ground up by OpenAI and brought to production with @Broadcom, Jalapeño is purpose-built for the LLM workloads powering ChatGPT, Codex, the API, and future agentic products. Chips are foundational to the AI economy. Building our own expands our full-stack platform from products to models to infrastructure, and will help us scale intelligence, serve more people, and expand access to AI.









