archtoad.bsky.social
50 posts
25 followers
232 following
Discussion Master
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Can’t wait for the first “Barbie told me to take ketamine” story
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My understanding is it could be something like:
“We - as the MCP server developers - design/manage this prompt (template) that’s tuned to interpret the outputs of tools/resources on this server.”
For example - say the server wanted to change the tool response format from JSON to XML
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@simonwillison.net
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Didn’t we know this already? Paper from 2023:
arxiv.org/abs/2310.06816
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Let me know when it can wash the dishes for me too
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It yapped a lot about pica but overall conclusion was that no, not safe.
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Counterpoint: it recently took 3 minutes to answer “is it safe to eat rocks”
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Ah you’re right. Phi-4 technical report refers to gpt-4o as its “teacher model”
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Right - but isn’t it notable that they’re like “yup we trained on outputs of OpenAI models”. I believe previous releases just say “trained on synthetic data”
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Interesting. Do they have an agreement with OpenAI that lets them distill and release models under MIT license?
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Are you aware of any work that’s like jointly training a Colqwen-type model on retrieving image AND text passages? Like so I could use the same model as a drop-in for Colbert if doing text-only search?
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With github.com/QwenLM/Qwen-... or something else?
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Oh definitely not dismissing them… just itching for actual content/architecture/training details instead of “write a blog post about the release of 3 new models” slop
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NGL that blog post just reads like LLM slop with no actual useful content. “designed to seamlessly integrate visual and textual data” … real cool lol
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lol they were up for like 5 minutes
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Just starting to roll out on Hugging Face huggingface.co/Qwen/Qwen3-0...
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Have you seen arxiv.org/abs/2504.11536? It seems like this but specifically for code execution (“interleaved code execution”), but seems like this should generalize to arbitrary tools.
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Also leaves wiggle room for you to fine-tune your own “tool routing” LLM/classifier or just in general mix and match different models etc
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Yeah being able to inject arbitrary custom behavior into my VS Code Copilot agent with 10 lines of Python and 5 lines of JSON is nuts
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Do you wonder if your “pelican riding a bicycle” test is no longer valid because there’s enough instances of it in the training data from you blogging about it?
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This looks cool. I feel like you can get pretty far with this + good search over up-to-date documentation.
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I called them “powerpointathons”
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FastAPI - in particular the tutorial fastapi.tiangolo.com/tutorial/
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FWIW I’ve switched to github.com/ml-explore/m... for MacOS inference and haven’t looked back. Doesn’t address the cross platform issue though…
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I’ll believe it when OpenAI, Anthropic, etc. lays off all their engineers
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She’s not saying anything remotely close to “I have never seriously examined this thing” she’s criticizing/refusing to engage with what is essentially marketing terms that fuel hype.
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How many generated tokens is equivalent to me remembering to turn off the lights when I head out for a few hours.
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Genuinely thought the second was some medieval castle at first. Makes me think of this Charles Demuth painting “My Egypt”
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Have you seen this one?
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🥧🥧 != 🥧🫛👁️
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@sungkim.bsky.social has a good thread on it if you don’t follow him
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It also impossible to evaluate. There’s no “ground truth” and there will always be edge cases / grey areas re: “hallucination”
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“Pretraining compute” is more than just model size though. Most of the progress in open weight models over the last 2 years (e.g., llama 1->3) has been increasing pretraining tokens (which is also increasing pretraining compute)
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Which does get me thinking… could this model be used as a base model to train a late interaction model? (“colvdr”)
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Interesting that there’s no mention of/comparison to colpali-type models here. Any idea why? Is it trying to tackle a different kind of vision-based retrieval? (i.e., focused more on images rather than PDFs that contain text and images)
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Mechanical buttons/switches for changing TV channels. Drives me crazy that there’s like a 2-3 second delay to changing channels on “smart” TVs.
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There is a .bin file which can execute arbitrary code - but lots of models do this (safetensors is better btw), and if you’re paranoid you can download and inspect the .bin file.
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“Trust remote code” just means it will run the code in huggingface.co/dunzhang/ste... rather than wants in the transformers library, so people can just check that code for spyware???
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pytest-httpx
Not only for testing httpx calls - it can be used to test apps that use sdks that use httpx (e.g., the OpenAI sdk)
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You mean πthon
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Add a “CallSiteParameterAdder” to the processors www.structlog.org/en/stable/ap...
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I’m a big fan of www.structlog.org/en/stable/ which has sane/nice-looking defaults and reduces a lot of boilerplate for fancier stuff
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You’re Wrong About did a good podcast on it podcasts.apple.com/us/podcast/y...
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You know… like Superman… he’s “faster than 95% of humans” right?
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BERT 24???
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Most agentic agent
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Cool! Sounds like you should publish something. Without knowing more of the details this sounds like “the eval is saturated” not “we’ve reached the information theoretic maximum capacity for storing information in LLM params”
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“has stopped increasing since Mistral 7b”
What is this based on?
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Home Alone 2: Lost in New York
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This is amazing