`github-actions[bot]` was disabled for some time, if that's the actor which does the checkout in your setup it could be related. FWIW it's back to working now.
Yeah but it also then strikes the perfect balance between being meticulous and pragmatic. Also it pushes back much more often than other models in that mode.
Same here. I feel like all of these shenanigans could be because Anthropic are compute constrained, forcing then to take reckless risks around reducing it.
The water use actually isn't all that high - it's just easy to make "a million gallons of water every year" sound like a lot, but compared to a 500 acre farm which could easily use 3 million gallons every day, it's not very big.
The electricity use is really substantial though, but that's harder for people to visualise so gets less media attention.
Right, this argument completely lacks context. Agricultural use of water is astounding. And even that is generally much less than the enormous amount of water that is available in agricultural states (CA notwithstanding).
Minnesota where I live gets approximately 3x10^13 gallons of rain / year. Yes, almost none of that is captured for use, but it's not like we're talking about a fundamentally physically limited resource here. It's just that there's a bad time/phase mismatch.
Hell, a 500 acre data center has >200 million gallons drop onto it out of the sky in MN, each year (20in avg * 500 acre = 10,000 acre-inches)
This is unfair and why people see HN as largely a pessimistic crowd. Just because someone might be wrong doesn't mean they are actively trying to deceit you, which I assume you mean with "bullshitting".
It's a new and shiny object and people tend to get over-excited. That's it.
We currently don't really know what intelligence is so we don't have a good definition of what to expect from "AI" but anyone who has used current "AI" for anything other than chat or search should recognize that "AI" is not "I" at all.
The "AI" does not "know" anything. It is really a fuzzy search on an "mp3" database (compressed with loss resulting in poor quality).
Based on that, everyone who is claiming current "AI" technology is any kind of intelligence has either fallen for the hype sold by the "AI" tech companies or is the "AI" tech company (or associated) and is trying to sell you their "AI" model subscription or getting you to invest in it.
My work is basically just guessing all the time. Sure I am incredibly lucky, seeing my coworkers the Oracle and the Necromancer do their work does not instill a feeling that we know much. For some reason the powers just flow the right way when we say the right incantations.
We bullshit a lot, we try not to but the more unfamiliar the territory the more unsupported claims. This is not deceit though.
The problem with LLMs is that they need to feel success. When we can not judge our own success, when it is impossible to feel the energy where everything aligns, this is the time when we have the most failures. We take a lot for granted and just work off that but most of the time I need some kind of confirmation that what I know is correct. That is when our work is the best when we leave the unknown.
Does anyone get the demos at https://www.gpt-oss.com to work, or are the servers down immediately after launch? I'm only getting the spinner after prompting.
The results are a bit disappointing given Googles scale and training data.
The results are on par with cheaper Chinese open source models to be frank. https://cliphou.se/benchmark/
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