localhost

8 ms·

1.
by localhost 18d ago
This is Amdahl's law in action. [1] Until we figure out a good way to leverage humans in all of this ("Attention is all you need" applies equally to humans as it does to models) productivity gains for the system will always b
2.
by localhost 5mo ago
why can't this be a cli tool? then you can get an agent to write a script that programmatically calls the cli tool in addition to the agent calling it directly.
3.
by localhost 6mo ago
there is an activation energy cost to so many activities - so those things just never got done. many times it is because the cost-benefit wasn't clear at the start (unknown unknowns) so it never got done. kudos to op for experimenting
4.
by localhost 6mo ago
then have ai write a deterministic transformation tool that turns it into the specific style and standard that is needed
5.
by localhost 6mo ago
i had gpt-5.4 write a 6502 font version of this font [1] in between working on other things. super fun and learned a lot by watching it do its thing. [1] https://github.com/jflam/6502-sans
6.
by localhost 8mo ago
tbf neither does anthropic
7.
by localhost 8mo ago
This is what ACP and https://github.com/zed-industries/claude-code-acp enables. ACP controls agents - there is native support in Copilot CLI and Gemini and adapters for claude code and codex.
8.
by localhost 8mo ago
Around 1980, while taking a "Saturday Morning Class" in Toronto - I discovered that there was a lab of ~24 Commodore PET 2001 (8K - blue phosphor, chiclet keyboards) at George Brown College. Spent as much time as I could there eng
9.
by localhost 8mo ago
First thank you for coming up with this idea. Love it. In the spirit of "tools for thought" I think this scratches an important itch. Someone called the output "egregious, obviously referential LLM dog". And someone else
10.
by localhost 10mo ago
Totally agree with this. I have seen many cases where a dumber model gets trapped in a local minima and burns a ton of tokens to escape from it (sometimes unsuccessfully). In a toy example (30 minute agentic coding session - create a markdo
11.
by localhost 10mo ago
I would say that "don't let perfect be the enemy of the good" here. Would universal be better? Sure. But what I saw is so much better than what we currently have here in the US. The point is that OPEN (the name of the Delft l
12.
by localhost 10mo ago
But why do social hubs need to be places of financial transactions? I was in Delft recently and I really loved their library/community center. Full of music practice rooms, people playing board games on the ground floor, a coffee bar a
13.
by localhost 1y ago
one thing that i find works really well is to ask it to research things in the codebase and write a plan first. codex with gpt-5 is exceedingly good at doing this. then ask it to write a plan for what it would do with that information, i.e.
14.
by localhost 1y ago
even with t=0 they are stochastic. e.g., non associative nature of floating point operations
15.
by localhost 1y ago
I used to own COM at Microsoft; I think that MCP is the current re-instantiation of the ideas from COM and that English is now the new scripting language.
16.
by localhost 1y ago
The models are the same, but the actual prompts sent to the model are likely somewhat different because of the agentic loop - so I would imagine (without having done the experiments) there will be slight differences. Unclear whether they wi
17.
by localhost 1y ago
Right. But you can copy paste that into a separate doc and have Claude Code merge it in (and not a literal merge - a semantic merge "integrate relevant parts of this research into this doc"). This is super powerful - try it!
18.
by localhost 1y ago
Did you use Claude Code to write the post? I'm finding that I'm using it for 100% of my own writing because agentic editing of markdown files is so good (and miles better than what you get with claude.ai artifacts or chatgpt.com c
19.
by localhost 2y ago
You can listen to him talk about it! https://www.youtube.com/watch?v=ZbFM3rn4ldo
20.
by localhost 2y ago
Python is the most popular language for data analysis with a rich ecosystem of existing libraries for that task. Incidentally I've worked on many products in the past, and I've never seen anything that approaches the level of prod
21.
by localhost 2y ago
As a counterpoint to a lot of the speculation on this thread, if you're interested in learning more about how and why we designed Python in Excel, I wrote up a doc (that is quite old but captures the core design quite well) here [1]. D
22.
by localhost 2y ago
The second point makes sense. It gives Apple optionality to cut off the external LLMs at a later date if they want to. I wonder what % of requests will be handled by the private cloud models vs. local. I would imagine TTS and ASR is local f
23.
by localhost 2y ago
It seems like this is an orchestration layer that runs on Apple Silicon, given that ChatGPT integration looks like an API call from that. It's not clear to me what is being computed on the "private cloud compute"?
24.
by localhost 2y ago
I bought my shareware copy of DOOM from WBB, alongside many other books.
25.
by localhost 2y ago
This is a giant dataset of 536GB of embeddings. I wonder how much compression is possible by training or fine-tuning a transformer model directly using these embeddings, i.e., no tokenization/decoding steps? Could a 7B or 14B model &qu
26.
by localhost 2y ago
How large is the set of binaries needed to do this training job? The current pytorch + CUDA ecosystem is so incredibly gigantic and manipulating those container images is painful because they are so large. I was hopeful that this would be t
27.
by localhost 2y ago
I wonder if enhanced operation of the lymphatic system might be causal to better mental health outcomes? The lymphatic system doesn't have a "pump", so it relies on muscle contraction to drive circulation. So more movement&#x
28.
by localhost 2y ago
Then don't copy and paste your copy of Thinking Fast and Slow into your AI along with my prompt then?
29.
by localhost 2y ago
This is exactly the kind of task that I want to deploy a long context window model on: "rewrite Thinking Fast and Slow taking into account the current state of research. Oh, and do it in the voice, style and structure of Tim Urban comp
30.
by localhost 2y ago
That is, of course, on the roadmap. I use a Mac as my daily driver so this one's personal :)

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