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Deepseek Sparse Attention from V3.2 is nice and "simple" (and compatible with MLA!), but at first it was surprising to me that it works well/better than other alternatives for both long context and short context. Some random thoughts I had:
For short context both NSA and InfLLM…
Introducing parental controls in ChatGPT.
Now parents and teens can link accounts to automatically get stronger safeguards for teens. Parents also gain tools to adjust features & set limits that work for their family.
Rolling out to all ChatGPT users today on web, mobile soon.
Your vibes. Your code. Get started with completely local vibe coding using @cline and @lmstudio and the AMD Ryzen AI Max+ series processors. bit.ly/3KLvwlf
Wan 2.5: Know You Better. Create Whatever You Want!
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✨ Significantly improves instruction understanding and following capability, comprehending complex instructions, continuous motion sequences, and advanced camera motions, supporting structured…
GLM 4.6 runs quite fast on an M3 Ultra with mlx-lm even at higher precision.
Pretty remarkable that it benchmarks competitive to the just-released Sonnet 4.5. Hope those benchmarks hold-up in day-to-day use.
Here's a run using 5.5 bpw quantized model, generating 5.3k tokens at…
GLM 4.6 runs quite fast on an M3 Ultra with mlx-lm even at higher precision.
Pretty remarkable that it benchmarks competitive to the just-released Sonnet 4.5. Hope those benchmarks hold-up in day-to-day use.
Here's a run using 5.5 bpw quantized model, generating 5.3k tokens at… https://t.co/ZMbdqSnWbv
The sparse attention in the new DeepSeek v3.2 is quite simple. Here's a little sketch.
- You have a full attention layer (or MLA as in DSV3).
- You also have a lite-attention layer which only computes query-key scores.
- From the lite layer you get the top-k indices for the each…
🚨 BREAKING: Anthropic Releases Claude Sonnet 4.5 - World’s Best Coding Model
Anthropic has just announced Claude Sonnet 4.5, positioning it as the world’s best coding model with breakthrough capabilities in agent building, computer use, and advanced reasoning.
Model…
Sonnet 4.5 was just released – it takes the #1 spot on our finance and programming benchmarks! We had the chance to test the new @claudeai model ahead of launch and found it to be exceptionally capable, especially for agentic applications.
(1/6)
DeepSeek-V3.2 shows:
- Chinese chips are rising: Day-0 support for Huawei Ascend & Cambricon;
- ML compiler: DeepSeek uses TileLang, letting you write Python → compile to optimized kernels on diverse hardware. E.g., 80 lines of Python can reach 95% of FlashMLA’s (CUDA written…
🎊Congrats to @lmsysorg for advancing DeepSeek V3/R1 inference.
⚡️On NVIDIA GB200 NVL72, they’re achieving 26k input tokens/s and 13k output tokens/s per GPU — a nearly 4× / 5× speedup vs H100.
They achieved this with NVFP4 MoE, FP8 attention, scaling-down expert parallelism…
🎊Congrats to @lmsysorg for advancing DeepSeek V3/R1 inference.
⚡️On NVIDIA GB200 NVL72, they’re achieving 26k input tokens/s and 13k output tokens/s per GPU — a nearly 4× / 5× speedup vs H100.
They achieved this with NVFP4 MoE, FP8 attention, scaling-down expert parallelism…
Live in Cline: Claude Sonnet 4.5
What's different from Sonnet 4:
> more terse, less narration
> maintains state across sessions via context files
> enhanced capability across long tasks
200k or 1M context window & the same $3/$15 pricing (increased > 200k tokens)
LoRA makes fine-tuning more accessible, but it's unclear how it compares to full fine-tuning. We find that the performance often matches closely---more often than you might expect. In our latest Connectionism post, we share our experimental results and recommendations for LoRA.…
Google launched Agent Payments Protocol (AP2), an open standard that lets LLM-based agents initiate, authorize, and settle online purchases whether using credit cards, bank transfers, digital wallets, and cryptocurrency.
AP2 secures transactions with cryptographically signed…
Introducing Claude Sonnet 4.5—the best coding model in the world.
It's the strongest model for building complex agents. It's the best model at using computers. And it shows substantial gains on tests of reasoning and math.
The big banks are coming for another bailout by attacking crypto.
They don't want you to earn rewards on your stablecoin holdings.
Our take: competition = better options for consumers.
If you wouldn’t ban credit card rewards, don’t ban crypto rewards.
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DeepSeek v3.2 is out 🔥
huggingface.co/deepseek-ai/De…
✨ Powered by DeepSeek Sparse Attention (fine-grained sparse attention)
✨ Major efficiency boost in long context training & inference
✨ Same output quality as V3.1-Terminus, with better scalability
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