On thing I've always wanted to do is have Wilmer workflows call themselves, so I can create a form of recursion within the workflows. This allows for a sort of semi-agentic behavior: repeated iterations on a problem with some breakout criteria. Now that may sound like an
A few days ago Stanford dumped a whole pile of AI/ML lectures up on their youtube. They're a pretty good watch if you get bored and want to dive more into this stuff. Stanford OnlineYou can gain access to a world of education through Stanford Online, the
WilmerAI
Don't put off unit tests. When I first started building Wilmer, I barely knew any Python, and of course I didn't have Wilmer to help me build it lol. So the early code was nothing shy of a disaster; coming from a C# background, I first
Somehow I've had it this far in life without ever actually using the site. But while I wait for one of my tickets withReddit to finally reach a human so that I can get my account back, outside of discord its one of the few places I can
WilmerAI
So my old Reddit post about my "unorthodox setup" went down with the reddit ship, and figured it was time for an update anyway, so I'm bringing it back. My setup has gotten more complex than I originally planned, built out piecemeal over the past 2.
Ok, for anyone else RDPing into a Windows machine from a Mac that is experiencing a latency between sound and visuals, especially when watching a video: I just went into Settings and set "Graphics Interpolation Level" under "General" to `Medium`, and it had an immediately noticeable
Everyone saying that the new iPhone isn't much, but the fact that they added dedicated MatMul acceleration into the A19 is huge, because this means we'll probably see it in the M5. For folks like me- that's a dream come true. I love my
Links
A quick dump of the benchmarks that I look at and use personally; I've dropped a few that no longer appear to be kept up to date, and grabbed a few newer ones. Code Specific * https://www.swebench.com/ * https://swe-rebench.com/ * https://aider.chat/docs/leaderboards/
Generative-AI
RAG is really 90% a software development problem, 10% an AI problem. People overcomplicate it on the AI side a lot, but it's a $5 term for a $0.05 concept: give the LLM the answer before it responds to you. At its face, that's simple
Generative-AI
So over the past week I'm suddenly seeing folks posting on LinkedIn about this number that 95% of corps fail to generate significant revenue with AI projects. Honestly, I'd believe it. Personally? I think that a big reason so many AI projects die is because folks
Benchmarks
M3 Ultra Mac Studio 512GB Speeds Qwen3 235b a22b Instruct Q8 in Llama.cpp server (~15k tokens) prompt eval time 4.60 ms per token, 217.29 tokens per second eval time 67.59 ms per token, 14.80 tokens per second total time 146863.82 ms / 15763 tokens (~5k
So back in July, while using a fairly popular commercial VPN, I made a comment on the LocalLlama sub answering someone's question by linking one of my own posts with some benchmarks; something I would do often. After a few minutes, I decided to edit the post to
