I joined gdm recently, and previously used (neo)vim exclusively. Begrudgingly Cider-V is very, very good. It might be possible to get by without it, but the system is so locked down you’re going to make a lot of sacrifices. (very few authorised extensions, codebase is so large it’s going to break whatever tools your used to using anyway, no git)

I’m well thinking I may as well trade my brick of an m5 pro for a 13” chromebook, it’s a strange time.

When I was there all the cool people used mercurial. Git5 was creaky and didn’t work well but hg worked brilliantly. The cool people used hg to do stacked CLs so they were productive even when blocked by code review.

Fun fact: This particular version of hg with its extensions actually originated from Meta.

We can use jj now, thank goodness. But I still miss my old git workflows + lazygit

I’m no longer at Google and I use jj for my git repo at my current workplace. It’s great as it’s similar to hg but slightly more convenient (no need to manually `hg evolve`). It’s also great that it’s a skill that’s transferable to the world outside google3.

have you tried fossil? I really like it for personal projects

> codebase is so large it’s going to break whatever tools your used to using anyway, no git

There is Jujutsu (with Piper backend) officially supported, and that is better than git. But of course, you will not be grepping the source code, there is code search for that.

For security reasons, the VSCode marketplace is not accessible, but many (in the 3-digit range) external extensions have been imported. One technical limitation is that some extensions are not designed for the web (e.g. try to run local things).

As someone who basically only hangs out on HN, what are the trends on Reddit? I thought it would vary by channel

There are still good niche and well moderated subreddits, but the big ones are pretty annoying. Lots of most extreme version of headline/summary to get the clicks. Tonnes of bot comments, especially with the rise of LLM. Repetitive joke responses.

Throughput is a metric for the total number of tokens/sec for all users in the system. Latency (ITL,TTFT) are individual user metrics.

The guys previous post was how rabbit r1 is revolutionising the smartphone. So I would take this post with a grain (heap?) of salt

Made it to the 5th stage of grief

While I large agree, when I rely too much on agentic llm usage I come away feeling that I haven’t really learnt much over the session, and the code wasn’t really “mine”. It’s also easy to let your skills atrophy over time if you’re not careful, and for the hardest / interesting problems I often turn the llm off entirely and write out the code by hand, and come out a lot happier than just guiding Claude

Someone not familiar with the field rediscovering the stochastic parrot argument from 3+ years ago

Clearly not from the UK. By US standards Labour would be socialist, and conservative (right) liberal at best.

It’s a quite deceptive paper. The main headline benchmarks (math500, aime24 /25) final answer is just a number from 0-1000, so what is the takeaway supposed to be for pass@k of 512/1024?

On the unstructured outputs, where you can’t just ratchet up the pass@k until it’s almost random, it switches the base model out for instruct, and in the worse case on livecodebench it uses a qwen-r1-distill as a _base_ model(!?) that’s an instruct model further fine tuned on R1’s reasoning traces. I assume that was because no matter how high the pass@k, a base model won’t output correct python.

I get the same feeling that I'm "not being productive" while playing video games, watching tv, etc that seems to kill any enjoyment from doing these things.

For me learning piano has been a great alternative to programming in the off hours (typing is quite transferrable too!). Highly recommend if you're like me on screens all day.