ggcr

5 ms·

1.
by ggcr 5d ago
The CTO himself reported 600 commits and 300 PRs each day. And they can do so because they have a massive CI [1]: > Every day CI runs about 20..80 million tests in 600 commits and 300 pull requests > Last year, ClickHouse spent 360 ye
2.
by ggcr 7d ago
> I am so used to using one hand to operate phones. I even forgot about this. God damn it, I enjoyed the SE so much because of this.
3.
by ggcr 7d ago
Seems like a big engineering feat by Apple, but for real, who asked for this? Edit: Is there that many demand for a foldable iPhone that justifies Apple making such engineering investment?
4.
by ggcr 9d ago
Reminds me, kinda, to when Astra was launched and OpenAI announced an improvement to the bounded prime gap. Which BTW, Prof. Julia Stadlmann had published an independent result only a few days earlier Stadlmann improved it from 246 to 240,
5.
by ggcr 9d ago
> Let me make plain what I have said to colleagues in private: in view of this body of work, I believe Luis Martínez-Zoroa deserves a Fields Medal.
6.
by ggcr 10d ago
This would go hard if I was an OpenAI agent
7.
Reading About the (2008) Financial Crisis: A 21-Book Review, by Andrew Lo (2012) [pdf](stat.berkeley.edu)
2 points by ggcr 11d ago|0 comments
8.
by ggcr 15d ago
2026 has been the year where spec-dec has matured, it has been adopted by all big OSS engines and i'm sure it's present in quite a lot of inference providers as the default I feel like P/D dissaggregation will be the next big
9.
by ggcr 21d ago
Here is an employee of HF at a time answering how do they make money, supposedly [1] > We make money via compute credits + Enterprise Hub + HF Pro subs [...] I guess this plus custom inference deployments, external inference providers, p
10.
by ggcr 21d ago
Agree. I'm not into interpretability but I always try to follow what Bau and his team are up to.
11.
"Famous Deep Learning Papers", David Bau(papers.baulab.info)
33 points by ggcr 22d ago|5 comments
12.
by ggcr 23d ago
Z.ai founders were one of the pioneers in MM-LLMs with Cog-VLM years ago, back when LLaVA emerged. I wouldn't be surprised if they added multi-modal capabilities
13.
by ggcr 23d ago
Ziphu has that many resources to be able to serve capacity for 1 quadrillion tokens per day on Nous portal? My bet is that it's a Composer model from Cursor running on xAI cluster, they already did a Composer based on Kimi-K2.5
14.
Follow live the open training of a 535B (23B activated) LLM(twitter.com)
1 points by ggcr 25d ago|1 comments
15.
by ggcr 25d ago
Announcement tweet by Stanford prof Percy Liang and Marin: https://x.com/percyliang/status/2090918065634684997 https://xcancel.com/percyliang/status/2090918065634684997 It will include P
16.
by ggcr 28d ago
They should've included Qwen3.5-397B-A17B in the benches then :/
17.
by ggcr 1mo ago
TIL that alphabet.com belongs to BMW group
18.
by ggcr 1mo ago
> nvda will have an incentive to continue this kind of releases, even if other parties slowly abandon the open release of models This! It's literally in their best interest for open-weights models to succeed
19.
by ggcr 1mo ago
Nice cadence of releases by the Nemotron team :)
20.
AMD Acquires Taalas(ir.amd.com)
9 points by ggcr 1mo ago|1 comments
21.
by ggcr 1mo ago
> Oriol Vinyals, Sanjay Ghemawat, Jeff Dean, Quoc Le as founding members is crazy !
22.
by ggcr 2mo ago
Blog: https://clickhouse.com/blog/andy-pavlo-joins-clickhouse?utm_...
23.
ClickHouse Labs, a new research group led by Andy Pavlo(xcancel.com)
4 points by ggcr 2mo ago|2 comments
24.
by ggcr 2mo ago
Waiting for Qwen3.8-27B :) Their base models and architecture has quickly become the go-to for local inference and fine-tuning, even when they introduced some tricky things like GDN, so many people use it, that it was matter of days/we
25.
by ggcr 2mo ago
Woah, a 200B model competing with GLM-5.2 and getting close to Opus 4.8. Quite impressive. If those numbers translate well to its general capabilities, with the great caching DeepSeek has, I feel like this model will get tons of usage.
26.
by ggcr 2mo ago
My personal bet is that this model should really shine in Autoresearch NanoGPT-style speedruns because its first-class integration with Tinker
27.
by ggcr 2mo ago
It's a fork of OrientDB, isn't it?
28.
by ggcr 2mo ago
> I’m surprised they don’t just eject the injured worker from the colony Wonder if this has something to do due with space constraints. If the study was done in a controlled nest, it must be space bounded one way or another. Dynamics mig
29.
by ggcr 2mo ago
Fascinating. Hidden on the bottom of the article seems to be a video [1] showcasing how they track each ant out of the six colonies of 110 each. I'd like to read the paper to skim over the methodology but it's not open-access :( [
30.
by ggcr 3mo ago
With Reinforcement Learning, inference is very present in post-training stages now too

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