FireHacker @thefirehacker
Founder-AI Researcher. Building BubblSpace & Timecapsule bubblspace.com/about-aiedx Meedan(Earth) Joined April 2011-
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TSMC is racing to finish verification of its COUPE silicon photonics engine this year to integrate it into the CoWoS packaging next year for a complete co-packaged optics (CPO) product, aimed at boosting data speeds in AI data centers while cutting energy use, media report,…
COMING SOON: The LLM GPU Build Guide > from 1x to 8x GPUs > inference, training, cpu offload, and rackmounts > budgets from $2K to $15K+ > full parts lists, tradeoffs, where to buy, and everything learned the hard way > PCIe lanes & bandwidth, why 2^n # of GPUs matter & more
If you’re still on the fence, there is rolling enrollment however the discount is now 25% off. And for those asking: no, out of respect to the students videos will not be made free after the course ends. However, you’ll get free access to all future cohorts!
Amazon's upcoming Trainium "Teton2" PDS rack and Trainium3 Max are expected to move towards an all-to-all switched topology instead of Trainium2's 3D 4x4 torus for scale-up NeuronLink. This will allow for better MoE dispatch and MoE combine when using wide expert parallelism and…
Interesting issue opened on the SWE-bench repo today. 🤔🤔🤔 "The TL;DR is that even without internet access, the agent can still cheat by peeking at future commits using git, because such information is retained in the current eval images."
Interesting issue opened on the SWE-bench repo today. 🤔🤔🤔 "The TL;DR is that even without internet access, the agent can still cheat by peeking at future commits using git, because such information is retained in the current eval images." https://t.co/RYXlmCu6nc
Twitter is like evals, evals, evals. And then when I talk to anyone at a big lab, it's like, "Ah, here are the 10 prompts I test. I just read them every couple of checkpoints."
I have never understood how these acquisitions make sense. A browser with almost no market share, no monetisation, highly competitive market, for $610M all cash? Please educate me why (genuinely)
I have never understood how these acquisitions make sense. A browser with almost no market share, no monetisation, highly competitive market, for $610M all cash? Please educate me why (genuinely)
@zan2434 Calling Google chrome a 0 revenue business is a basically wrong. On the top of my mind I can think of at least Widevine DRM that chrome ships with, that Google charges DRM vendors directly
Excited to make Unsloth RL / GRPO even better :) > 1.7x increased context lengths vs previous Unsloth > 10% faster RL training runs with revamped kernels and async data movements > 2x faster torch.compile times during model loading > No need for gpu_memory_utilization - use 0.9!
Excited to make Unsloth RL / GRPO even better :) > 1.7x increased context lengths vs previous Unsloth > 10% faster RL training runs with revamped kernels and async data movements > 2x faster torch.compile times during model loading > No need for gpu_memory_utilization - use 0.9!
a revolutionary breakthrough if i've ever seen one
a revolutionary breakthrough if i've ever seen one
Ready to meet the biggest, brainiest guy in the Qwen3 family?
Found an epic track from Turkmenistan 🎙️🎶 Song :Gaygylanma Jaanam (Don't worry, My Dear 💕) Show: Turkmen Owazy Artist: Annaguly Myratdurdyyew Song has a few common words with Turkmen- Hindi Jaanam = Love ýarym = Love / Friend Owazy = Sounds (Awwazein in Hindi) Atyr…
🌀Diversity Aware RL (DARLING)🌀 📝: arxiv.org/abs/2509.02534 - Jointly optimizes for quality & diversity using a learned partition function - Outperforms standard RL in quality AND diversity metrics, e.g. higher pass@1/p@k - Works for both non-verifiable & verifiable tasks 🧵1/5
The Lore of Kalomaze! ⚡️ bringing a great pod with @kalomaze (20yo ml researcher, prime intellect) - we'd talked about training, finetuning, RL (environments and recipes), scaling, working at PI and a Lot of Lores! (link in replies)
New in-depth blog post - "Inside vLLM: Anatomy of a High-Throughput LLM Inference System". Probably the most in depth explanation of how LLM inference engines and vLLM in particular work! Took me a while to get this level of understanding of the codebase and then to write up…
“Eik Ardas Bhatt Kirat ki, Gur Ram Das rakho Sharnayee” 🙏 Punjab flood situation is worsening by each day. 💔 Waheguru Sahib Ji, please bless the rescuers (sangat) with strength and courage to save every life safely. 🙏
🚀 NVIDIA continues to lead on open-sourcing pretraining data — Nemotron-CC-v2 has dropped! 👏 Congrats to @KarimiRabeeh @issanjeev @PavloMolchanov @KezhiKong @SimonXinDong @ctnzr @YejinChoinka + many others! 🙏 A very loud thank you for citing our Physics of LMs, Part 3.1.…

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