Building specialist AI datasets • Fine-tuning & evaluating LLMs • ML student • Glassblower by trade, Sharing my workflows, also Hardware projects

Norway
Joined September 2026
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Replying to @RichardSocher
I will, I don't benchmark with standard benchmarks, I hook them to my PI agent with subagents built just like my subagents in Claude. They shadow frontier in my real work flow and are graded pass or fail. this model will be tested in the coder position, If he passes, That's my largest daily expense right now. I will give you the feed back, I can save all the tool call traces if you like.
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Replying to @dhh
This is the feedback so far. Update on converting my wife to Omarchy, since dhh asked what tripped her up: She wanted it to feel like Windows, so I added floating windows and a taskbar. She didn't want a frontier model, so she got Hermes running Strata Qwen Flash Next locally. She danced in her chair.
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I told you bio tech is where these companies will hit the big money.
OpenAI
@OpenAI3h
GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration? DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in making cholesterol. GPT-Rosalind suggested a possible explanation: cholesterol may not be reaching where neurons need it. That gives scientists a specific mechanism to test and, if confirmed, a direction for developing new treatments for neurodegenerative disorders. With @perturbai_tx and @scrippsresearch, a team of thousands of GPT-Rosalind agents worked in parallel, connecting gene-expression results from millions of mouse brain cells with scientific literature in just 32 minutes. We’re now expanding this collaboration to identify new drug targets. openai.com/index/scaling-ai-…
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They often find different bugs.
Replying to @marouane53
I do dual review opus and gpt, works great. I call it MoA = mixture of agents.
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Local is getting very interesting these days, I need to get this one downloaded.
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine. • Best-in-class fast local coding • Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark • Built from scratch in under 4 months Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
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Replying to @taylorhbuilds
I just ignore it and move on, Don't even look at it.
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Replying to @mark_k @ChatGPT
Good images though.
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Replying to @dhh
Fixing it all. Wow 2026 is a great year.
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Replying to @elonmusk
In Norway they all believe it, well 90%
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Replying to @stefanopineda
not bad and you get heat for the winter
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Replying to @Corporate_CJP
I started school for it 3 months ago, but not sure they will want freshies, it is what it is.
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Now, I hooked her up on Hermes running local on Qwen Flash Next on the Strata engine, the largest one. I had to windows it up a bit for her, she really needed to get things done and got a little frustrated, last I looked she was dancing a bit in her chair.
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Replying to @net_termina
I would run them in a real work flow shadowing frontier models then grade them pass or fail after review.
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Replying to @mark_k
Always been ride or die Claude.
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Replying to @i_mika_el
I just want to build it
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Replying to @annalea_l
but shit posting accounts and business don't go together normally.
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Replying to @gladimdim
ouch, that grey market though
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I don't think true ground truth datasets will need marketing. I could be worng.
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