curious_cat_163

5 ms·

1.
by curious_cat_163 9d ago
> most people in bluesky moved to bluesky driven by hate and fear instead of love and curiosity My personal experience has been a lot more balanced. But, I don't want to say that there is no hate and fear on ATProto...
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by curious_cat_163 14d ago
Agreed. Also, it is not a monolith. There are parts of the internet (arguably like HN) that are off the charts when it comes signal-to-noise ratio, for me personally.
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by curious_cat_163 22d ago
> I'd skip M5 and M6 chips for LLM work and wait for a year for M7. Please say more? Is it because it is a one-time cost, unlike a recurring subscription of Claude/Codex?
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by curious_cat_163 24d ago
> The play seems to be: lock what was once commodity compute up into datacenters depriving us regular folk of it, then sell it back to us on subscription. I had not considered that as a possibility. It is somewhat dark and unlikely, imh
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by curious_cat_163 24d ago
I am not developing with the ATproto, but keep an eye on the specs. There is a lot brewing in that ecosystem so I understand your skepticism. I think that avoiding the word “private” is absolutely the right move here, because they are not b
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by curious_cat_163 1mo ago
Looks like their auth is broken. Do they ever publish postmortems?
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by curious_cat_163 1mo ago
Ah, my bad. I may have misread it.
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by curious_cat_163 1mo ago
> It’s going to move us from the big iron era of AI to small portable brains. Nature has already proved it’s possible with 20 watts and very little heat generation. Agree. I know enough about the vagaries of scientific progress to not pu
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by curious_cat_163 1mo ago
I think the test above is about tool calling... That's how I read it. The issue here is known as "out of distribution detection" in the old-timey classification world. I am not sure how a micro model will fundamentally solve
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by curious_cat_163 1mo ago
Thanks! When is Gemma5 coming out? :-)
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by curious_cat_163 2mo ago
Boris is right about: > The verification is probably the single most important thing that people do not get right, largely. and so, so, so wrong about giving this prompt (for verification) and expecting that it succeeds at building a &qu
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by curious_cat_163 2mo ago
Fundamentally, we needed to decide, as a society, that should someone (anyone) have access to neural networks that can launch successful cyberattacks by discovering new zero-days and/or leveraging knowledge about recent zero-days and a
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by curious_cat_163 2mo ago
> The government should use procurement to create demand for portable, interoperable systems rather than permanent dependence on one API vendor. Now, here is an idea that I have not heard before... and I think there is some merit to this
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by curious_cat_163 2mo ago
exactly. a ban or even any restriction that is "fixed" in time is a bad idea. The frontier is evolving so fast: any regulatory regime that started with a map of capabilities that 2025 frontier had is obsolete. Same would be true n
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by curious_cat_163 2mo ago
I think condensing intelligence into smaller models is the way to go. Also, “smaller” can mean many different things. The cost is not in storing the weights on disk. It is in the power required to do the inference with the “active parameter
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by curious_cat_163 2mo ago
Where is this thing? Would like to visit!
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by curious_cat_163 2mo ago
We are headed towards the “trough of disillusion” of this particular cycle.
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by curious_cat_163 5mo ago
Hey! Love the idea. I think a lot of skepticism here would be addressed if you discussed your plans to monetize. People just want to know how you will (eventually) make money in a way that is aligned with how they expect this to evolve.
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by curious_cat_163 1y ago
That makes me sad. I will miss his voice. I loved how he interrupted his guests and kept them honest and on point. I loved the casual offer for tea/coffee at the end. I would love how it had this encore bit at the end, sometimes! This
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by curious_cat_163 1y ago
Give it time, it should [1] go down to where it belongs. :-) [1] https://news.ycombinator.com/item?id=1781013
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by curious_cat_163 1y ago
We don't really have very many open source models. We have "open weights" models. Ai2 is one of the very few labs that actually make their entire training/inference code AND datasets AND training run details public. So,
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by curious_cat_163 1y ago
> So what is final state here for us? Return to menial not-yet-automated work? And when this would be eventually automated, what's left? Plug our brains to personalized autogenerated worlds that are tailored to trigger related neuro
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by curious_cat_163 1y ago
That's an interesting way to look at it. Aren't layoffs a version of that? Are we seeing any evidence that folks who have been let go from Intel have resulted in spin-offs and startups? I know at least one person who went to work
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by curious_cat_163 1y ago
Oh, I don't know. Maybe build chips that do things 10x more efficiently and sell them a lower cost to compete? It _is_ a hype bubble but it is also an S-curve. Intel has missed the AI boat so far, if they are trying to catch up, I woul
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by curious_cat_163 1y ago
And, so what?
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by curious_cat_163 1y ago
> It is fairly rare to see an ex-employee put a positive spin on their work experience. I liked my jobs and bosses!
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by curious_cat_163 1y ago
Maybe you'll want to try Techne: https://techne.app .
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by curious_cat_163 1y ago
> Rather than fine-tuning models on a small number of environments, we expect the field will shift toward massive-scale training across thousands of diverse environments. This is a great hypothesis for you to prove one way or the other.
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by curious_cat_163 1y ago
100% agreed. It is all about removing friction for me. Case in point: I would not have touched React in my previous career without the assist that LLMs now provide. The barrier to entry just _felt_ to be too large and one always has the ins
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by curious_cat_163 1y ago
That’s very conservative.

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