Tied for 3rd place with o3-mini-high. Sonnet 3.7 has the highest non-thinking score, taking that title from Sonnet 3.5.
Aider 0.75.0 is out with support for 3.7 Sonnet [1].
Thinking support and thinking benchmark results coming soon.
Tied for 3rd place with o3-mini-high. Sonnet 3.7 has the highest non-thinking score, taking that title from Sonnet 3.5.
Aider 0.75.0 is out with support for 3.7 Sonnet [1].
Thinking support and thinking benchmark results coming soon.
65% Sonnet 3.7, 32k thinking
64% R1+Sonnet 3.5
62% o1 high
60% Sonnet 3.7, no thinking
60% o3-mini high
57% R1
52% Sonnet 3.5
It's unclear to me how they'll shift to making money while providing almost no enhanced value.
Think pouring water from the faucet into a sink with open drain - if you have high enough flow rate, you can fill the sink faster than it drains. Then, when you turn the faucet off, as the sink is draining, you can still collect plenty of water from it with a cup or a bucket, before the sink fully drains.
Sure, in a hypothetical market where before they try to extract profits most participants aren't losing money with below-profitable prices trying to keep mindshare. But you’d need a breakthrough around which a participant had some kind lf a moat to get, even temporarily, there in the LLM market.
The infrastructure side of things, tens of billions and probably hundreds of billions going in, may not be fantastic for investors. The return on capital should approach cost of capital if someone does their job correctly. Add in government investment and subsidies (in China, the EU, the United States) and it become extremely difficult to make those calculations. In the long term, I don't think the AI infrastructure will be overbuilt (datacenters, fabs), but like the telecom bubble, it is easy to end up in a position where there is a lot of excess capacity and the way you made your bet means getting wiped out.
Of course if you aren't the investor and it isn't your capital, then there is a tremendous amount of money to be made because you have nothing to lose. I've been around a long time, and this is the closest thing I've felt to that inflection point where the web took off.