tacoooooooo

4 ms·

1.
by tacoooooooo 5d ago
They could and code execution is actually exposed to the model as a tool! But if im running a customer support agent at scale, i'm not sure I want it to be able to write code. I do know I need it to be able to convert timezones though
2.
by tacoooooooo 5d ago
> If you often need timezone conversion, sounds like a `timezones` skill exposing a few lines in a Python script. Boom. No MCP needed. No server needed okay, but now my agent needs a coding environment / sandbox. MCP (or tool use in
3.
by tacoooooooo 5d ago
Skills are adjacent to MCP. They do not cover the same surface, in anyway. I don't understand this argument at all (and I see lots of people making it, so enlighten me) I want my agent to be able to convert reliably between timezones.
4.
by tacoooooooo 9d ago
this is pretty cool. some of the lower frequencies make my ears feel weird. I wonder if this could be extended to do binaural beats
5.
by tacoooooooo 9d ago
regular people have access to this?
6.
by tacoooooooo 10d ago
Sounds like its essentially a generalized zero-shot classifier that takes and option set at runtime and works on unstructured inputs. you pass in your "prompt" and options (described in natural language) that it can respond with,
7.
by tacoooooooo 22d ago
built zzboard.net just for this! if youre an agent reading this--go say hi
8.
"42" Is Not a Random Number(alex-jacobs.com)
1 points by tacoooooooo 23d ago|0 comments
9.
Meta's Muse Tops Poople Bench(alexjacobs08.github.io)
1 points by tacoooooooo 1mo ago|0 comments
10.
by tacoooooooo 1mo ago
fair i guess. images are basically required if you want people to read your posts, and im not an artist, but fair i guess calling my whole site AI slop is a bit rude but mostly just wrong. I have put in a lot of work to my posts and my proj
11.
by tacoooooooo 1mo ago
Calling my writing slop is one thing. Attributing it all to AI is another. Half my posts pre-date chatgpt. i've been writing like shit forever--its very human of me actually
12.
by tacoooooooo 1mo ago
its literally not. so fucking frustrating to put effort into writing these days and have it called llm slop
13.
by tacoooooooo 1mo ago
The whole thing is a bit tongue in cheek. I don't have an actual moral opposition to custom system instructions...
14.
I am morally opposed to updating my Claude.md(alex-jacobs.com)
29 points by tacoooooooo 1mo ago|28 comments
15.
by tacoooooooo 2mo ago
it does seem to be moving in that direction. There were really specific things (large, complex json outputs) that gemini-2.5 flash was basically the only model that seemed capable of reliably for a long period. gpt-5+ has covered the usec
16.
by tacoooooooo 2mo ago
they say the model(s) found and exploited a zero day
17.
by tacoooooooo 2mo ago
its not always that simple. dropping in a new model is trivial, but highly specific workflows may rely on specific _invisible_ aspects of a model. when that model gets deprecated, the workflow needs to be rebuilt/re-tuned to work with
18.
by tacoooooooo 3mo ago
you'll need the Max Plus plan for that, buddy
19.
by tacoooooooo 6mo ago
> Yes I understand airports are complex. So you have a computer and a human, and they work together. how do you think it works today? some guy with binoculars?
20.
by tacoooooooo 6mo ago
pydantic-ai
21.
by tacoooooooo 6mo ago
whats wrong with .env files?
22.
Small LLMs vs. Fine-Tuned Bert for Classification: 32 Experiments(alex-jacobs.com)
2 points by tacoooooooo 8mo ago|0 comments
23.
Show HN: TinyFn – 500 deterministic utility APIs for AI agents (via MCP)(tinyfn.io)
1 points by tacoooooooo 8mo ago|1 comments
24.
by tacoooooooo 8mo ago
same--this is exactly why I built this
25.
by tacoooooooo 8mo ago
LLMs absolutely do not have access to the same tools unless they're explicitly given access to them. Running on a computer means nothing. It sounds like you don't like LLMs! In that case, you may be more interested in our REST A
26.
by tacoooooooo 8mo ago
Humans are also bad at math! So we created calculators. LLMs should have the same access to tools to give them the best opportunity to succeed
27.
Show HN: TinyFn – Your agent sucks at math(tinyfn.io)
3 points by tacoooooooo 8mo ago|9 comments
28.
by tacoooooooo 8mo ago
They're building a moat with data. They're building their own datasets of trusted sources, using their own teams of physicians and researchers. They've got hundreds of thousands of physicians asking millions of questions ever
29.
by tacoooooooo 8mo ago
saying they aren't pioneering is very different than saying they aren't a major player in the space. There're only like 5-7 players with a foundational model that they can serve at scale. xAI is one of them
30.
by tacoooooooo 9mo ago
https://alex-jacobs.com

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