This resonates with my experience. At Morph we use gemini for well specified point coding tasks, and it does very well across millions of lines of code every day. We also use claude code as an engineering tool for our own codebase and it does better at being adaptive and for working on open ended issues.
Understood. I am looking for a side-by-side comparison focused on your feature set, not Github's. You answered it partially by calling out your focus areas. Github API reliability has been iffy for us, so it would be good to quantify the difference we can expect to get with you.
It would be nice to see a side-by-side comparison with Github on pricing and features. We are using github and creating hundreds of repos everyday without any issues (except for the occassional API outages that Github has). Curious to see your take on where Pierre is better.
This is very nicely done. We have seen the same issue at a higher level of getting separators right when generating multiple files in a single inference call.
These are large coal seams with significant exposure to the atmosphere. See https://en.wikipedia.org/wiki/Jharia_coalfield for an example. That excavator in the picture is not trying to put out the fire, it is just mining coal that happens to be burning. Spray some water, put out the fire and ship it off to customers.
The system prompt in this experiment limits the solution to always spell out the concrete moves verbally. A human solving the Tower of Hanoi gives up around N=4 and goes off to invent a recursive solution instead. Prompted differently, the LLM would solve these puzzles just fine.
Gary Taubes has written multiple scholarly books on the subject. He has won the Science in Society Journalism Award of the National Association of Science Writers three times. I think a training in one scientific field does qualify a person to go spend their time digging into other fields. How well they do is a matter of personal ability and effort and one would have to read their output and judge for oneself. I have read many of Taubes's book and many of the papers cited in his books and have concluded that he is a well qualified expert in the field.
I am in the middle of listening to Einstein: His Life and Universe by Walter Isaacson and would highly recommend this biography to anyone interested in more.
I think two mirrors at an angle would provide an opportunity to get much better precision in estimating the location on the screen being touched. Wondering if you have tried that.
This is indeed the right way to leverage TCP flow control, and works well at the layer that knows exactly what is coming over the socket. The pitfall here is if semantically independent data is being multiplexed over the same TCP connection then suspending reads may cause collateral damage and in the worst case livelock situations. Examples of multiplexing include separate streams and control frames in HTTP/2, in-band health checks and keepalives in various protocols, etc.
Even more incredible since the article points out that "Unlike albatross or other long-flying seabirds, godwits are active flyers, not gliders—their wings are moving the whole time." I wonder if they can use the active-flying equivalent of regenerative braking in favorable wind conditions to actually generate energy while flapping their wings. Not sure if any animals can generate energy while walking downhill.