It's fascinating how close these companies are to each other. Some company comes up with something clever/ground-breaking and everyone else has implemented it a few weeks later. Hard not to think of Kurzweil's Law of Accelerating Returns.
It’s extremely unlikely that everyone is copying in a few weeks for models that themselves take many weeks if not longer to train. Great minds think alike, and everyone is influencing everyone. The history of innovation is filled with examples of similar discoveries around the same time but totally disconnected in the world. Now with the rate of publishing and the openness of the internet, you’re only bound to get ev…
Claude 3.7 Sonnet and Claude Code
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Re: Claude 3.7 Sonnet and Claude Code
#72To me the biggest surprise was seeking grok dominate in all of their published benchmarks. I haven’t seen any benchmarks of it yet (which I take with a giant heap of salt), but it’s still interesting nevertheless. I’m rooting for Anthropic.
Re: Claude 3.7 Sonnet and Claude Code
#73Anthropic doubling down on code makes sense, that has been their strong suit compared to all other models Curious how their Devin competitor will pan out given Devin's challenges
Re: Claude 3.7 Sonnet and Claude Code
#74Last week when Grok launched the consensus was that its coding ability was better than Claude. Anyone have a benchmark with this new model? Or just warm feelings?
However, Grok sometimes loses the context where o1 seems not to. For this reason I still mostly use o1.
I have found both o1 and Grok 3 to be substantially better than any Claude offering.
Re: Claude 3.7 Sonnet and Claude Code
#75Re: Claude 3.7 Sonnet and Claude Code
#76It's fascinating how close these companies are to each other. Some company comes up with something clever/ground-breaking and everyone else has implemented it a few weeks later. Hard not to think of Kurzweil's Law of Accelerating Returns.
It’s extremely unlikely that everyone is copying in a few weeks for models that themselves take many weeks if not longer to train. Great minds think alike, and everyone is influencing everyone. The history of innovation is filled with examples of similar discoveries around the same time but totally disconnected in the world. Now with the rate of publishing and the openness of the internet, you’re only bound to get ev…
Re: Claude 3.7 Sonnet and Claude Code
#77Earlier quoted context omitted.
It’s extremely unlikely that everyone is copying in a few weeks for models that themselves take many weeks if not longer to train. Great minds think alike, and everyone is influencing everyone. The history of innovation is filled with examples of similar discoveries around the same time but totally disconnected in the world. Now with the rate of publishing and the openness of the internet, you’re only bound to get ev…
Isn't the reasoning thing essentially a bolt-on to existing trained models? Like basically a meta-prompt?
Re: Claude 3.7 Sonnet and Claude Code
#78To me the biggest surprise was seeking grok dominate in all of their published benchmarks. I haven’t seen any benchmarks of it yet (which I take with a giant heap of salt), but it’s still interesting nevertheless. I’m rooting for Anthropic.
I've now just taken to seeing benchmarks as pretty lines or bars on a chart that are in no way reflective of actual ability for my use cases. Claude has consistently scored lower on some benchmarks for me, but when I use it in a real-world codebase, it's consistently been the only one that doesn't veer off course or "feel wrong". The others do. I can't quantify it, but that's how it goes.
Re: Claude 3.7 Sonnet and Claude Code
#79Earlier quoted context omitted.
It’s extremely unlikely that everyone is copying in a few weeks for models that themselves take many weeks if not longer to train. Great minds think alike, and everyone is influencing everyone. The history of innovation is filled with examples of similar discoveries around the same time but totally disconnected in the world. Now with the rate of publishing and the openness of the internet, you’re only bound to get ev…
Isn't the reasoning thing essentially a bolt-on to existing trained models? Like basically a meta-prompt?
DeepSeek and now related projects have shown it’s possible to add reasoning via SFT to existing models, but that’s not the same as a prompt. But if you look at R1 they do a blend of techniques to get reasoning.
For Anthropic to have a hybrid model where you can control this, it will have to be built into the model directly in its training and probably architecture as well.
If you’re a competent company filled with the best AI minds and a frontier model, you’re not just purely copying… you’re taking ideas while innovating and adapting.