the tiny corp

All products are now available to order! $45k for tinybox green with 5090s, and we have two variants of the tinybox pro v2, one with 5090s and one with RTX6000 Blackwells (that's a whopping 768 GB of RAM)

tinygrad goes a level further and doesn't even require the kernel drivers. For both NVIDIA and AMD, it just maps the PCIe BARs

@karaporkin I wish. It's OAM v2.0

@__tinygrad__ Does it non compatible with old SXM? Like ebay.io/m/tKaN0T

This is an MI300X. Has anyone seen a way to plug it into a PCIe slot? Would be great for development to have this in a normal computer that reboots quickly.

@KenMasterson The DC-DC converter isn't hard, that's off the shelf and simple.

@__tinygrad__ I've designed around some Open Compute Project OAMs. They use Molex Mirror Mezz connectors, and the modules themselves use PCIe Gen 5, but run off 54V (making it somewhat inconvenient to plopping them into a traditional computer).

@foley2k2 If that adapter worked for MI300X, I'd pay the $15k

@__tinygrad__ At that price, probably not worthwhile, but if you have the cash and every second matters, maybe?

There's no way we have found to toggle power to the UBB board, and Codex /goal (very good btw) can get them into a "discovery signature mismatch" state requiring a reboot. We will design one if we have to, but it would be great if one exists. It's OAMv2, not OAM. @AnushElangovan

@claudeai I read a business book once and it talked about how businesses love uncertainty and random last minute policy changes. Or was it that they hate them? Never mind, carry on.

We're extending Claude Fable 5 access on all paid plans, as well as keeping Claude Code’s weekly rate limits 50% higher, through July 19.

@CathPoaster Has anyone checked in on Yahoo lately?

Is Anthropic gonna win the AI race? Nah, too many issues. OpenAI? What is this, 2024? DeepMind? Lol right. xAi? FUCK no. Meta? Dead after OPT fiasco. What about a Chinese lab? Never had a chance. There’s a dark horse, watching and waiting in silence. They’re gonna move soon.

comma's model takes 0.14ms to run on the eGPU! We are still wasting a lot of time enqueuing though, fix coming with HCQ2 where we compile all command queue dispatches to C.

@banteg Imagine they instead devoted their lobbying efforts to the "printer requires an app" problem. That's progress I can believe in!

new effective altruism coomer bedtime story just dropped > be me > effective altruist in 2026 > have spent ten years explaining that democracy is too slow for the coming machine god > also explain that central planning usually fails > unless I am doing it > read one scaling graph > draw line upward > line reaches heaven > conclude capitalism ends in 2031 > AI can now write Python functions with only three subtle security flaws > obviously two years away from replacing every scientist, general, diplomat, CEO, judge, therapist, novelist, and attractive person at parties > publish “scenario,” not “prediction” > give every paragraph exact dates > assign percentages to imaginary branches > epistemic humility achieved > bad timeline: > companies race > AI becomes god > everyone dies > good timeline: > US government notices problem > China agrees > Congress understands compute governance > international inspectors find every hidden datacenter > nobody lies > nobody defects > nobody builds chips in a basement > planet saved > all we need is total global visibility into advanced computing > mandatory disclosure of frontier research > permanent monitoring of industrial infrastructure > central control over technological development > relax, this is the anti-authoritarian option > alignment not solved > solution: build one billion genius AIs > they are not superintelligent > they are merely one billion tireless copies of the best human researchers working at electronic speed > completely different > put them in a box > ask them to solve the problem of escaping boxes > excellent progress > year 2034 > AI replaces 80% of labor > mass unemployment > social order somehow remains intact > government sends everyone $1.6 million > nobody asks where prices went > year 2037 > cancer cured > climate solved > fusion solved > aging solved > politics solved > Reddit moderation still unresolved > year 2038 > alignment becomes a mature science > year 2039 > we trust the machines > year 2040 > hand them civilization > peer review completed ahead of schedule > humanity gets a vote > options are: > A. accept benevolent AI guardianship > B. extinction > meaningful democratic consent achieved > announce decentralized flourishing > administered by a globally coordinated compute authority > with comprehensive surveillance powers > run by unusually wise people > who agree with my blog posts > critics ask whether institutions can actually do any of this > reply that superintelligence is inevitable > critics ask whether superintelligence is actually inevitable > reply that institutions must prepare > circular reasoning > but with footnotes > call it “AI 2040” > not utopian fiction > not doomer fiction > serious strategic foresight > entire future depends on competent adults appearing at exactly the right moment > adults are selected from the same civilization that made the printer require an app > sleep peacefully > the machine god is coming > but fortunately > the nonprofit sector has a plan

@elliotarledge Thanks! Loving the speedup

GLM 5.2 FP8 with the native MTP at c=1 on 8xMI300X averaged 137 tok/s and peaked at 183 tok/s in a tough LRU coding problem! thanks @__tinygrad__ for the GPUs

@RussellBal Sure, if it's not cheating.

@RussellBal That's pretty good, is this without cursed things like caching that's hard to invalidate and parallelism that makes debugging annoying? Development velocity is always priority #1

@Unlearned_Hand @DKokotajlo @slatestarcodex astralcodexten.com/p/introducing-…

@__tinygrad__ @DKokotajlo @slatestarcodex Can you link this

@DKokotajlo I didn't read your AI choose your own adventure fanfic, but why does @slatestarcodex think it means you should steal my GPUs?

@DKokotajlo @slatestarcodex idk, think of the China sounds a lot like think of the children. first it's background checks, then it's serial numbers, then you are calling a GB300 an "assault GPU"

@__tinygrad__ @slatestarcodex In our scenario, your gpus are safe.

In AI 2027, we predicted that AI would take over the world or irreversibly concentrate power. In AI 2040: Plan A, we've laid out our positive vision for what should happen instead.

@slatestarcodex @DKokotajlo Why you trying to steal my GPUs?

Congratulations to @DKokotajlo and team on releasing Plan A (ai-2040.com) , a followup to AI 2027. My attempt at a gentle introduction to the ideas involved is at astralcodexten.com/p/introducing-…

@jmbollenbacher @toposopher @CremlinGremlin @woke8yearold I mean, you could make an independent person-shaped elevator, nothing is stopping you. Imagine it. Here's my new elevator. Sometimes it's grumpy and only wants to go down. Sometimes it's stubborn and doesn't want to move. Sometimes it's sly and takes you to 6 when you press 7.

@__tinygrad__ @toposopher @CremlinGremlin @woke8yearold I gather i have not misunderstood. The successful elevator only goes to the floor you push. That makes it a tool-shaped thing not a person-shaped thing. No independence. I'd disagree though, obviously. I think AIs will not stay tool-shaped forever. x.com/__tinygrad__/s…

This is all delusional cope btw. Even in the face of ASI, imminent nationalization and securitization, they’re still living in delusional fantasies where the government lets them keep the super nukes

@ramez It's almost like some companies at the front of the race right now tried to loudly proclaim it was over so they could declare themselves the perpetual winner. Obvious tactic is obvious. It's never going to stop. This is just the continuation of the computer revolution.

A week ago many were saying that the AI race was over. That it was down to just Anthropic and OpenAI. Or that Anthropic had taken a permanent lead. Now we have solid models from OAI, xAI, Meta, and open weight from GLM, with line of sight to Gemini 3.5 Pro, ChatGPT6, and more large open weight models from China. The race seems far from done. It seems, in fact, perpetual to me. There are no strong network effects here. Anyone with sufficient resources can build a frontier or almost-frontier model. It's maybe an order of magnitude cheaper to be a fast follower just a few months behind than to be at the bleeding edge. I don't see RSI changing this. It may give the very frontier models a burst of speed, but RSI will be democratized, just like everything else in AI. There is no evident permanent underclass of AI models. There's a hyper-competitive market for intelligence, and the gains go primarily to the consumers of that intelligence.