lherron

7 ms·

31.
by lherron 1y ago
The Parallel Anxiety section really stands out for me. It's a new level of FOMO. Also "LLM Underutilization Anxiety" - I have 15 $20++/mo subscriptions of VC subsidized token generators. If I'm not hitting rate li
32.
by lherron 1y ago
With the Anthropic rug pull on quotas for Max, I feel the short-mid term value sweet spot will be a Frankensteined together “Claude as orchestrator/coder, falling back to local models as quota limits approach” tool suite.
33.
by lherron 1y ago
The lack of MCP support in their desktop client is especially disappointing considering everything Anthropic has shipped on Claude Code the last few weeks. ChatGPT desktop client with only search/fetch MCPs is far, far inferior to CC f
34.
by lherron 1y ago
Honestly this article sounds like someone is unhappy that AI isn’t being deployed/developed “the way I feel it should be done”. Talent changing companies is bad. Companies making money to pay for the next training run is bad. Consume
35.
by lherron 1y ago
Thanks for this! Subscribed.
36.
by lherron 1y ago
Even if you don't care about open source, you should care about all the obfuscation happening in the prompts/models being used by Cursor/Claude Code/etc. With everything hidden, you could be paying 200/mo and get s
37.
by lherron 1y ago
Hope this will pressure Anthropic into releasing Claude Code as open source.
38.
by lherron 1y ago
Isn't this what sampling is for? https://modelcontextprotocol.io/docs/concepts/sampling
39.
by lherron 1y ago
This is my experience as well. I do not view the first shot LLM generated code as the end result. It’s more like a blob of clay I can continue to shape (with the LLM) until it meets my standards. I also had a similar typed language experien
40.
by lherron 1y ago
With all the incremental releases, it’s harder to see the advancement. Maybe it would be more fair to compare 4 vs 3 than 4 vs 3.7.
41.
by lherron 1y ago
Overly aggressive “let me do one more thing while I’m here” in 3.7 really turned me off as well. Would love a return to 3.5’s adherence.
42.
by lherron 1y ago
HN front page isn’t what it used to be.
43.
by lherron 1y ago
Repo name checks out. Looks awesome, will not try!
44.
by lherron 1y ago
Factorio blueprints in action.
45.
by lherron 1y ago
Feels kinda like JIT compiling your agent prompts into code. Awesome concept, hope it pans out.
46.
by lherron 1y ago
I chalk it up to VC subsidized pricing. I use my monthly Cursor quota, then switch to Claude Code when I run out.
47.
by lherron 1y ago
I agree for method-level changes, but the more you’re willing to cede control for larger changes, even in a familiar language, the more an LLM accelerates you. For me, I give Gemini the full context of my repo, tell it the sweeping changes
48.
by lherron 1y ago
I love this! I have a similar automation for moving a feature through ideation/requirements/technical design, but I usually dump the result into Cursor for last mile and to save on inference. Seeing the cost analysis is eye openi
49.
by lherron 2y ago
Wait till you deal with google genai lib vs google generativeai lib
50.
by lherron 2y ago
Agreed! And with all the gaming of the evals going on, I think we're going to be stuck with anecdotal for some time to come. I do feel (anecdotally) that models are getting better on every major release, but the gains certainly don&#x
51.
by lherron 2y ago
These one-shot prompts aren't at all how most engineers use these models for coding. In my experience so far, Gemini 2.5 Pro is great at generating code but not so great at instruction following or tool usage, which are key for any it
52.
by lherron 2y ago
Kokoro TTS is pretty good for open source. Worth checking out.
53.
by lherron 2y ago
More like: every time you tell o3 to do something, it will first reread the onboarding docs (and charge you for doing so) before it does anything else.
54.
by lherron 2y ago
Also this: https://news.ycombinator.com/item?id=42952605 - Ingesting PDFs and why Gemini 2.0 changes everything
55.
by lherron 2y ago
I don't know how you solve the "training data and tooling prompts bias LLM responses towards old frameworks" part of this, but once a new (post-cutoff) framework has been surfaced, LLMs seem quite capable of adapting using in
56.
by lherron 2y ago
ollama is making this worse by not denoting what you’re getting in the model name. You have to look at individual model cards to see it’s distilled.
57.
by lherron 2y ago
It’s a question of depreciation of the GPU vs time to deploy AI. If RL and synthetic data creation are all we need for self-improving AI, the large labs have an internal use case to utilize all available compute, regardless of efficiency ga
58.
by lherron 2y ago
You don’t know how to use the three seashells? lol
59.
by lherron 2y ago
I do both. I have a basic template that also includes my specific AI instructions and conventions that are inputs for Aider/Cursor. Best of both worlds.
60.
by lherron 2y ago
My 2013 Panasonic plasma is still going strong with AppleTV as the primary input source.

More ›