Counterintuitively, I feel like this will not be super useful, at least for me. My bottleneck is MY ability to parse and understand LLM-generated code. The agent can code a lot faster than I can read and understand its output.
Readit Newsrappatic commented on Speed up responses with fast mode code.claude.com/docs/en/f... · Posted by u/surprisetalk
rappatic commented on It's 2026, Just Use Postgres tigerdata.com/blog/its-20... · Posted by u/turtles3
Oh wow, the "Postgres for Developers, Devices, and Agents" company wants us to use Postgres?
This happened in 2019. The wheels of justice turn very slowly.
rappatic commented on Banned C++ features in Chromium chromium.googlesource.com... · Posted by u/szmarczak
Agreed. Growing up on a small farm (~1120 acres) our garden alone was probably at least 5 acres in size. It's laughably small, the only way he'll succeed is for a neighbouring farmer to take pity on him.
I love the variety of people that come to HN. There are real farmers weighing on on the plausibility of this.
Our machines all have CPUs that can execute on the order of 10^9 instructions every second. Why waste time worrying about a few hundred processes that use next to no CPU time?
rappatic commented on An Elizabethan mansion's secrets for staying warm bbc.com/future/article/20... · Posted by u/viscousviolin
> The house has lessons for how we can heat our homes more efficiently today
The problem in Europe isn't keeping warm in the winter but keeping cool in the summer. In part thanks to their near-total lack of AC in residential buildings, Europe has an extremely high heat-related death rate. 200k people per year die of heatstroke in Europe: this accounts for 36% of global heat-related deaths. This is despite Europe being only 9% of the world population, having a very cool climate in comparison to India and similar countries, and being among the richest regions in the world.
Many humans do a really bad job at driving, so I'm not sure we should try to emulate that.
And it is certain that in India they use sound sound for echolocation.
> Many humans do a really bad job at driving, so I'm not sure we should try to emulate that
Agreed, but there are still really good human drivers, who still operate on sight alone. It's more about the upper bound, not the human average, that can be achieved with only sight.
In the current state of self-driving tech, lidar is clearly the most effective and safest option. Yet companies like Tesla refuse to integrate lidar, preferring to rely solely on cameras. This is partially to keep costs down. But this means the Tesla self-driving isn't quite as good as Waymo, which sits pretty comfortably at level 4 autonomy.
But humans have no lidar technology. We rely almost solely on sight for driving (and a tiny bit on sound I guess). Hence in principle it should be possible for cars to do so too. My question is this: at what point, if at all, will self-driving get good enough to make automotive lidar redundant? Or will it always be able to make the self-driving 1% better than just cameras?