Viewing profile — mgreg
mgreg
HN member- Joined
- Fri, Mar 01, 2013, 3:54 PM UTC
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About mgreg
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Comment #44986250
Link to repo for those interested: https://github.com/ZhangYiqun018/AvengersPro
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Comment #44228102
There's also Rancher Desktop ( https://rancherdesktop.io/ ). Supports moby and containerd; also optionally runs kubernetes.
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Comment #39365648
This is quite the loss for OpenAI. And no one seems to have heard what Ilya Sutskever's status is at OpenAI as well.
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Comment #39121867
Unsurprising but disappointing none-the-less. Let’s just try to learn from it. It’s popular in the AI space to claim altruism and openness; OpenAI, Anthropic and xAI (the new Musk …
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Comment #39047742
I think this is built into Excel already. In the Excel menu bar: Data -> Data from Picture
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Comment #39031835
It's a great observation. People simply want their free stuff. The potential challenge arises in the future. Today's models will probably look weak compared to models we'll have in…
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Comment #39031255
Applying the term "open source" to AI models is a bit more nuanced than to software. Many consider reproducibility the bar to get over to earn the label "open source." For an AI mo…
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Comment #38954782
This does look like a truly open model with all the components needed to replicate under Apache 2. This seems to be a fine-tuned version of their CrystalCoder model. Kudos for rele…
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Comment #38935102
I understand where you're coming from but what they provided DOES make their work reproducible. You can use the data, source code, and recipe to train the model and get the weights…
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Comment #38934640
I very much appreciate that the authors not only published their code ( https://github.com/llm-random/llm-random ) but included the dataset they used (available on Huggingface - ht…
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Comment #38784791
There are now several open source models that are fine tuned for function calling including: * Functionary [ https://github.com/MeetKai/functionary ] * NexusRaven [ https://github.…
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Comment #38700735
The online models to a decent job of proving up-to-date info. Simple inputs like "who won the football game last night" provided the correct score and a little detail on the NFL's …
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Comment #38699695
Some details that might interest you from SemiAnalysis [1] just published yesterday. There's quite a bit that goes into optimizing inference with lots of dials to turn. One thing t…
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Comment #37949342
Agreed on 1; people in the court case are saying Google is better. Given that, why wouldn't Google negotiate a lower rev share? Consider this from Apple's Eddie Cue: "Cue implied t…
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Comment #37949303
It seems unclear if Microsoft was willing to pay more. From Bloomberg's coverage: "Microsoft business development executive Jon Tinter said that his company weighed making a multib…
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Comment #37947745
There’s been some good points raised by both sides in the case but there’s still some logic that doesn’t flow. * Google pays a rev share to Apple for being _default_ search provide…
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