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.
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.
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.
Fantastic product! I almost feel bad for Screen Studio as he's a solo creator and charges for the product, this will most certainly be bad news for him
I've seen this comment a couple of times. What would be a better way of doing it? Also consider that if they would've had a more complex formula, what would be the cost of needing to explain it publicly? Would they then need to start defending the fairness of each tariff vs doing it the simple way and having a single formula across the board?
I wish I could do this for Spotify. Paid plans still include ads.
They cram ads into podcast episodes which themselves also have ads, so you'll get the read ads + Spotify's local ads + Spotify laughs all the way to the bank.
I believe over time not having ads will be a thing of the past, and you'll instead pay for fewer ads. Like where else are people going to go for exclusive content?
See I kind of buy the database argument but also kind of don't. A database needs an operator whereas a LLM doesn't. You're basically melting the product into a piece of goo and the UI can be approached using natural language.
For products that still need a UI you could claim that LLM operators take over, so that's still a tax you pay to the incumbents as you interact with a product. It's sort of like we take the money which was paid to SQL operators and engineers and instead pay it to the hyperscalers.
This already happened with SBF who operated under a democrat administration.
The more interesting conversation is how could the UX and potentially AI based investment assistants prevent people from making financially unsound decisions.
It’s also a result of German unions. It’s practically impossible to fire people in the auto industry, so effectively what we do at VW is we have deadweight organisations where people end up if they are low performers and refuse to leave. The European auto industry is partly a charade to keep people employed.
Are there any areas where an AI startup can actually make an impact? All I've seen is either billion+ funded foundational models, or thin GPT wrappers - all with the same probability of being default alive.
Another riff on this is that you won’t get better products, but more products. AI reduces the barrier of entry and you’ll have many products doing niche things (often for free!) instead of platforms capturing a lot of the incremental value.
It’s like mobile cameras, they reduced barrier of entry to photography, but you didn’t end up getting better photos necessarily. Instead you had more of them.