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Native-speed vLLM transformers modeling back end
simonpure · 2026年7月9日
为什么值得读： 编辑精选，AI领域关键进展。
历史晨报 · 2026-07-09
2026年7月9日 周四
当日 Top 3 速览
- Native-speed vLLM transformers modeling back end
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- most agent labs are shy about acknowledging chinese model use because they need to sell to gov/defense cog team did the hard part to productionize: 1. build a multilingual propaga
当日阅读清单
- 04true. let’s unpack this..people think data and evals are low skill, grunt work that you can just buy and stuff into models. in practice, the model lifecycle looks something like
- 05So what is the qualification criteria for folks to get early access to this model?
- 06I woudl like to interview an AI-native designer to show us how to build with design.md, components, and more vs. the typical process. Who's the best person to talk to?
- 07having worked with Brendan and mercor, can confirm they are excellent. also having worked in ai models for enterprise, can confirm the opportunity around data and evals for enterp
- 08How a Writer Uses AI Without Losing His Voice
- 09AI bills are baffling the C-suite after shift to usage-based pricing
- 10QuakeWorld Air Physics
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- 12Show HN: Chrome extension that creates mini-Chrome extensions for you
- 13Show HN: Skillburst - AI skills for your whole team, not just the engineers
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- 15Hijacking Defensive Cyber AI Agents for Remote Code Execution
- 16Suspecting AI cheating, Ivy League prof ordered in-person final; scores fell 50%
- 17Show HN: A shallow lake's report on itself
- 18Can you explain the concept behind each of the main size ranges of LLM models, as in, what hardware setups the different size niches are meant to fit into (~30b, ~70b, ~120b, ~230b, etc). Like is it mainly based on pro hardware sizing for 8-bit, or consumer GPU vram for ~Q4, or some mixture?
- 19Qwen3.5 122B is the best?
- 20Grok 4.5 released - GLM-5.2 shows up in xAI's own charts, 2.6 pts behind on SWE Bench Pro
- 21I should be able to dip my toes into local models with this gaming desktop. Right?
- 22Image Processing model and Audio Processing model on 32GB VRAM and 64GB RAM?
- 23Interactive world model weights just landed: 14B plus a 1.3B for a single consumer GPU, 720p60 real time
- 24What China Said at the UN’s First Global Dialogue on AI Governance
- 254-bit GLM-5.2 (753B MoE) on 4× DGX Spark: 70.8% on Terminal-Bench 2.1 vs 81.0% for the full model
- 26LingBot-Video: sparse-MoE video diffusion transformer (13B total, 1.4B active) post-trained as an action-conditioned world model[R]
- 27Tomorrow at 10am PT I'm hosting a live walkthrough of how we progressed from single-player Claude Code to multi-player Claude Tag. Then, we're going deep on how Claude Tag actually
- 28We raised $130M @ $1B for our series A To build the open superintelligence stack for everyone Pre-training concentrated frontier AI in a handful of labs. RL changes who can buil
- 29Btw my interview on Local AI from last week with Latent Space was published on the 2nd page of The Daily Context at AIE https://t.co/nvi7woLkey
- 30Important Product Marketing lesson! You’re writing a story to transmit to your audience, but also for your audience to transmit to their audience. PMM > Sales > Customer PM