Use 5.5, low thinking Add verification criteria to your prompts (i.e. "have a sub-agent check that xyz is done perfectly and acts as we want before returning to me") that's about it, it's amazing DO NOT use it for frontend btw, it sucks
LLMS
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Tenstorrent CEO: Today’s LLMs Will Be Forgotten Like Llama 3
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“Who remembers llama 3? These will be the same in a few years” — Tenstorrent CEO, Jim Keller
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RTX PRO 4000 vs RTX 3090 VRAM Bandwidth and NVLink Compared
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Just some numbers so you don’t get misled RTX 3090 (7 years old)
> 24GB VRAM
> Bandwidth: 936.2 GB/s
> Bi-directional NVLink 112GB/s RTX PRO 4000
> 24GB VRAM
> Bandwidth: 672 GB/s > No Bi-directional NVLink,
> need 32 Gen. 5 PCIe Lanes to pool 2 at 64GB/s x.com/LLMJunky/statu… -
Speculative Decoding Accelerates RL Rollouts 2.5x in NeMo-RL
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RL post-training is hitting a rollout bottleneck. This new paper from #NVIDIAResearch shows how speculative decoding in NeMo-RL + @vllm_project can accelerate rollouts losslessly, with 1.8x higher throughput at 8B and projected 2.5x end-to-end speedup at 235B. Read the full
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Grok 4.3 Arrives on Abacus AI ChatLLM Platform
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Grok 4.3 just landed on ChatLLM by Abacus AI Sonnet-level performance, ~5x cheaper, and faster in real use. Built for sharp reasoning and clean outputs. Worth testing.
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Run LLMs Locally on Your Own Hardware With RTX 3090s
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re: Anthropic, Dario, OpenAI, etc Don’t let them control your Intelligence Utilization It is a MUST that you learn how to run your LLMs locally on your own hardware 2x RTX 3090s and Qwen 3.6 27B is all you need to get started
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AI Agents Browsing the Web with DeepAgents and Browserbase
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one future trend i'm very excited by:
— Harrison Chase (@hwchase17) 1 mai 2026
models getting good enough where they can power agents that browse the web
deepagents + @browserbase is a glimpse of that future
See the full example here: https://t.co/RTk0kOY8ML https://t.co/v5lDHiARph pic.twitter.com/7p7UbjkPyHone future trend i'm very excited by: models getting good enough where they can power agents that browse the web deepagents + @browserbase is a glimpse of that future See the full example here: https://
github.com/browserbase/in
tegrations/tree/main/examples/integrations/langchain/deepagents-browserbase
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RL Boosts Known Tasks But Causes Hallucinations on Unknown Ones
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RL is a bit of a double edged sword: in known territory performance increases, but in unknown territory the model tends to hallucinate that it is performing a completely different task it was trained on
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Weekly AI Roundup: DeepSeek V4, OpenAI vs Musk, AWS Expansion
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This week had no shortage of AI drama, plus a few great new open source models were released too. Here are all the latest launches and stories: – @deepseek_ai released DeepSeek V4
– @OpenAI and @elonmusk face off in court
– OpenAI expanded models and agents on @AWS – -
Building Office Receptionist App with Reachy Mini and GPT
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I'm trying to build an office receptionist app for my reachy mini today with ml intern + @OpenAI GPT 5.5. Wish me luck! You can follow my session agent traces live here: https://
huggingface.co/datasets/clem/
ml-intern-sessions/blob/main/sessions/2026-05-01/5eb4110b-756c-428a-88e5-17baef6074a7.jsonl
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