It does not.
It's unintuitive how, but it probably would cause prices to go haywire.
Readit Newsknowaveragejoe commented on How AI conquered the US economy: A visual FAQ derekthompson.org/p/how-a... · Posted by u/rbanffy
> METR also conducted an in-depth study that asked experienced developers to code with a popular AI assistant. After they finished their tasks, the developers claimed that using the AI had made them 20 percent more productive. But independent evaluators in the study actually concluded that using AI did the opposite: it increased task completion time by about 20 percent.
This somewhat reflects my experience... I can totally see the back-and-forth dance taking longer in some cases.
But I also think there is more than efficiency being unlocked here. Sure, a developer might have cranked out a rough MVP in less time, but with this they're also often continuously updating a README, tests and other infrastructure as they go.
One could argue about whether that's its own footgun - relying on tests that don't really test what they should, and let critical bugs through later.
Is there any website to see the minimum/recommended hardware required for running local LLMs? Much like 'system requirements' mentioned for games.
If you have a HuggingFace account, you can specify the hardware you have and it will show on any given model's page what you can run.
> people are either still too afraid of looking like they don’t understand, still too deferential to Silicon Valley’s supposed technological expertise, or still too busy doing other things, to voice any skepticism about blockchain-based solutions
I'm not afraid of looking like I don't understand - I simply don't understand. I've tried reading a few "yellow papers" for crypto projects and they are so abstract and full of jargon that I never come away knowing more than when I started reading.
If anyone has a good resource for getting into the technical details of crypto please let me know. I would like to gain a full enough understanding that I can finally decide for myself if it's revolutionary or overhyped.
To steelman the crypto side: I think the stuff that is most interesting is found _around_ crypto and not necessarily within most cryptocurrency projects.
For example, there have been a lot of novel or interesting projects centered around cryptography, consensus, decentralization, anonyimity. On a sociological level, there are a lot of interesting social/economic experiments unfolding in the DeFi world as we speak.
But I think that is where the truly interesting or valuable contributions to humanity as a whole end, and the vast, vast majority of it otherwise is just speculation or scams. It is hard to find that signal in the noise, but it is there, if you look.
knowaveragejoe commented on Agents built from alloys xbow.com/blog/alloy-agent... · Posted by u/summarity
Small nitpick - the axes on the varying alloy proportions graph say "Sonnet 2.5" and "Gemini 4.0"
knowaveragejoe commented on Bill Atkinson's psychedelic user interface patternproject.substack.c... · Posted by u/cainxinth
I can’t tell you the number of times I’ve thought that what this country needs is more druggies running around.
How can you look at this and think "druggies"?
knowaveragejoe commented on Smollm3: Smol, multilingual, long-context reasoner LLM huggingface.co/blog/smoll... · Posted by u/kashifr
Hey Simon, VB from Hugging Face here and the person who added the model to MLX and llama.cpp (with Son). The PR hasn't yet landed on llama.cpp, hence it doesn't work OTB on llama.cpp installed via brew (similarly doesn't work with ollama since they need to bump their llama.cpp runtime)
The easiest would be to install llama.cpp from source: https://github.com/ggml-org/llama.cpp
If you want to avoid it, I added SmolLM3 to MLX-LM as well:
You can run it via `mlx_lm.chat --model "mlx-community/SmolLM3-3B-bf16"`
(requires the latest mlx-lm to be installed)
here's the MLX-lm PR if you're interested: https://github.com/ml-explore/mlx-lm/pull/272
similarly, llama.cpp here: https://github.com/ggml-org/llama.cpp/pull/14581
Let me know if you face any issues!
> similarly doesn't work with ollama since they need to bump their llama.cpp runtime
Just curious, how frequently does that happen?
knowaveragejoe commented on Biomni: A General-Purpose Biomedical AI Agent github.com/snap-stanford/... · Posted by u/GavCo
How is something that cant admit it doesnt know, and hallucinates a good innovation?
Modern LLMs frequently do state that they "don't know", for what it's worth. Like everything, it highly depends on the question.
knowaveragejoe commented on The $25k car is going extinct? media.hubspot.com/why-the... · Posted by u/pseudolus
build one from scratch (kit car)
I'd love a kit car that wasn't ridiculously expensive and/or designed to be raced. But I can understand that the kind of people who would invest the time in building a car would be okay with those propositions.
I wonder if there's a market for building something purely utilitarian, like a little hatchback or something, as a kit vehicle - with the express purpose of learning a lot of automotive principles along the way.
- https://chutes.ai - 200 requests per day if you deposit (one-time) $5 for top open weights models - GLM, Qwen, ...
- https://github.com/marketplace/models/ - around 10 requests per day to o3, ... if you have the $10 GitHub Copilot subsciption
- https://ferdium.org - I open all the LLM webapps here as separate "apps", my one place to go to talk with LLMs, without mixing it with regular browsing
- https://www.cherry-ai.com - chat API frontend, you can use it instead of the default webpages for services which give you free API access - Google, OpenRouter, Chutes, Github Models, Pollinations, ...
I really recommend trying a chat API frontend, it really simplifies talking with multiple models from various providers in a unified way and managing those conversations, exporting to markdown, ...