TheDavidTai @TheDavidTai
Founder, hacker, stochastic tool. @microsoft escapee. Currently @eigenlabs Checkout my github actions emulator: https://t.co/TPIOeqGz4z davidt.ai United States Joined September 2018-
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@Whos_Ur_Doggy Its both the ngram translation after drafting and the ngram translation before verification. I thought I had fixed it with the 85tps one but that had a big drift bug that has led me down this rabbit hole.
Found the source of most of the gpu microstarvations on Qwen 3.8 27b and its much like what I expected, bottlenecked on the n grams. You have to get all MTP drafted tokens, and do all the lookups before going to the next step, however everything is in CPU land at that point because a metal kernel can't do that sort of look up :| That's how you get consistent 100+ vanity tps.
@ddalcu I did a marketing campaign one time on Fiverr and $30 got use like 30k stars and on the front page of github lol. So 1k stars is a huge legit milestone. Congrats.
How much compute does OpenAI have?
OpenAI's advertising biz has hit a $1 billion annualized revenue run rate after being up and running for 200 days. They rolled out ads for the free and $4 plan in India three days ago.
No community note.
this is insane! just got access to GTA 6 and one of the missions is to transport illegal GPUs with Jensen.
The hill cilmbing doesn't stop in mlx.fast. Lots of small consistent gains topped off by a huge rewrite from IBroth today!
They don't even give you banked resets, is there a reason to not cancel and re sub every month manually?
Canceling Claude is all the rage. You should do it, too, anon.
@Hikari_07_jp We practice so we are ready when it does.
Sadly I think they are onto the new V4 architecture :(
you forgot to release Qwen3.8-35B. it's still not too late.
@Sentdex Is it still under warranty? 🤞
@GedHughes71 @ivanfioravanti @ddalcu @TheDavidTai Glad to se it ! MTPLX had better original release prefill work than oMLX initial release . I wanted to get qsa right so got that released after the original native qwen4 architecture . That's where the high % increases come from for omlx.
@ivanfioravanti @Spangler3000 @ddalcu @TheDavidTai Measured prefill throughput: - 32,834 tokens: 940 → 1,102 tok/s — +17.27% - 131,129 tokens: 708 → 1,057 tok/s — +49.38% - 245,819 tokens: 602 → 981 tok/s — +62.93% At the largest tier, end-to-end time fell from 410.5s to 252.9s, a 38.40% reduction against my MTPLX LC daily
@ddalcu makes great tooling for doing optimziations.
llmprobe is becoming one of my best friends in evaluating engines and quantization correctness. I'll keep testing it more and more and why not adding some features to it.
107% improvement at 256K context on Apple Silicon is a dream! @Spangler3000 did it for oMLX, @ddalcu confirmed it on mlx-serve and @TheDavidTai is happy like me! I hope other will implement this!
@Spangler3000 @ddalcu @ivanfioravanti That’s pretty nice because massive slow down on context is annoying 👍
@Spangler3000 @ddalcu @ivanfioravanti Pretty wild, this is going to be transferrable right? I'm assuming it involves some sort of chunking?
So basically, all this time we’ve been misled by Anthropic. The $100 plan only gives you around 3.5x the weekly usage of the $20 plan, and the $200 plan only gives you around 6x, The whole x5 and x20 thing only applies to the 5 hour window, the same kind of window OpenAI already removed, Honestly, I expect nothing from Anthropic anymore and somehow they still manage to disappoint me. Tibo already clarified that ChatGPT plans actually respect the x10 and x20 exactly as advertised, without any 5 hour window
X4 @X4AES
8K Followers 2K Following ☆ 𝙸 ♥ 𝚃𝚎𝚌𝚑 ▁▂▃▅▇ ☆ ← (𝙰𝙸, 𝙲𝙼𝙿𝚁𝚂𝚂𝙽, 𝙲𝚛𝚢𝚙𝚝𝚘) ᗒ@SomeCapitalX (ex @projectpxn) Founder/Visionaire. ■■■■■■■■□ ʟᴏᴀᴅɪɴɢ
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