This is a good post. AI has changed the programming language trade-offs and, as someone running a company that uses both Haskell and Python, I hope that Haskell can adapt to this new era.
I would like to add one additional observation, since we have been using both Haskell and Python in production for a long time:
Haskell excels at platform work, while Python excels at product work.
Our infrastructure teams work in Haskell (and also Rust nowadays), while our product teams work in Python. This gives us the best of both worlds (in my opinion): fast and rock-solid infrastructure on the platform side, and fast development speed and quick iteration cycles on the product side.
This setup has worked well for years for us, but it remains to be seen how and if this is going to change as well in the new AI era.
> On Linux, the quick terminal is only supported on Wayland and not X11, and only on Wayland compositors that support the wlr-layer-shell-v1 protocol. In practice, this means that only GNOME users would not be able to use this feature.
Cells may generate their own electrical signals through microscopic membrane motions. Researchers show that active molecular processes can create voltage spikes similar to those used by neurons. These signals could help drive ion transport and explain key biological functions. The work may also guide the design of intelligent, bio-inspired materials.
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It is a problem if you have a server process running that you want to be extremely responsive (latency <100ms) and that then suddenly decides to do garbage collection for a minute or two before answering incoming requests.