Nick Lothian

Nick Lothian

@nlothian.bsky.social

18 followers76 following54 posts

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Interesting things I learnt: Grok and GLM5 beats Claude Opus and Sonnet. Same score but *much* cheaper! Qwen 27B is great. Nvidia's Nemotron-Cascade-2-30B-A3B beats Qwen 3.5-35B-A3B.

Nemotron is a *great* model and the 3B and 12B models are free on OpenRouter for people to try out.

Nathan Lambert@natolambert.bsky.social

Nvidia’s Nemotron is the closest thing the U.S. has to a Qwen approach to open models, but most people don’t know it yet. I’m very bullish on Nvidia’s open model efforts in 2026. Interconnects interview #17 on the past, present, and future of the Nemotron project. www.youtube.com/watch?v=Y3Vb...

Kimi K2.5 looks very impressive. 100 agent co-ordination, 4.5x speedup on tasks. It's only January and we have a half order of magnitude improvement in real-world performance, and yet people think progress is slowing down? Really, we are running out of benchmarks.

This could be a problem for random Australian politicians. For those who don't know, in 2017-18 7 Australian politicians had to resign and/or run again because it turned out they could be dual citizens (sometimes unknowingly). This change in Canadian law could trigger more!

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It saves all data locally in your browser, so I never see your keys. You can export your conversations as JSON or save and load them to and from (private) Github Gists If you load from a Gist you can share the URL so others can try the same prompt in different models

It supports OpenAI, Anthropic, Gemini and OpenRouter models as well as local or custom providers. Ever wanted to compare Qwen3 0.6B vs Opus 4.5? Now you can! I'd love feedback. This is the first substantial post I've made on BSky so I'm interested to see how it goes.

It shocks me how many people think LLM inference providers are somehow running at a loss. Do the math! If you can hire a cloud H100 and run it above 50% capacity for something approaching the per token price inference providers are charging then it's easy to see they aren't.

Nick Lothian reposted

Replying to @neuroai.bsky.social

We evaluate the combined architecture on two challenging planning tasks: -Graph traversal -Tower of Hanoi Graph traversal: significant improvements over zero-shot prompting or in-context learning. Notably the architecture lowers hallucination of invalid moves to 0% (from ~20% for 4-step paths!) 4/n

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