HN user
Anthropic opening up Fable for subscription use instead of gating it behind an API is a clear response to Kimi3 and other Chinese models catching up. The plan was to make temper the subscription model to "mid-tier" and make people have to pay for APIs if they wanted the "best" models.
This is proof that we don't need regulations, we need fair competition.
Because the unsafe product most likely has 200+ "positive" reviews!
In WW2 thousands of troops could die in a single day and we wouldn't know their names until months or years later. Today a single troop dies and it is the first story on the national news. Millions of civilians also died, just the amount of soldier deaths would be the equivalent of 2-3 September 11s (worldwide) every day for a period of 6 years.
So we say "war" but modern conflicts are absolutely nothing compared to what has happened historically. Even though these new "wars" don't seem to have the same definitive results, the alternative could be much, much worse. We're much better off with the bomb critical sites, apply sanctions and political pressure methods vs. the send entire generations off to die methods of old.
Alibaba made $59B last year in gross profit, and the amount will most likely be appealed and reduced.
The biggest issue by far isn't the counterfeit or unsafe products, its the fake reviews, that's where regulators need to focus.
The reality however is that unless you're spending tens of thousands on hardware or setting up cloud instances you can't run anything near close to state of the art.
In almost all cases right now, a subscription with a cloud AI wins.
Findings like these surprise me. I had a NDE a few years ago and my observation was such that everything slowed down tremendously and I was able to process every instant like it was slow motion. This wasn't like a "metaphysical" thing. I could recall the entire trip in the ambulance, every moment seemed like it was minutes.
We have so many "hacks" that the brain encodes to do the least work possible that I don't know if we could ever truly know what the brain would be capable of.
These ridiculous market caps can only be justified if LLMs can ultimately produce outputs that are above human capabilities OR reduce costs and perform human tasks for cheaper than the human rate. Neither of these things have happened thus far and the incremental gains are decreasing more and more.
The OpenAIs and Anthropics are going to get eaten by open source, I don't see prices going up, prices are going to crater. The models are going to be more and more commoditized.
I graduated with a Bachelors in Math in 2018 and there's an entire new math now?
For people who actually know the curriculum side: where does geometric algebra fit? Is it something that should come after Calc III / linear algebra, alongside linear algebra, or as part of a more geometric replacement for vector calculus?
How is prompt caching different than caching responses in a database? If you use the same prompt wouldn't you want the same answer? Or can this be used for some type of intermediate process where different questions may utilize the same prompt in some type of workflow?