Comments URL: https://news.ycombinator.com/item?id=49898418

Points: 7

# Comments: 0

If the drivers are upstreamed and good, it should work well.

Prefill (input tokens) is heavily compute bound. And the ratio of input to output continues to rise, as typically in agentic sessions you have a few tokens output for a tool call and (many) thousands of input from the tool result.

Then you have cached input tokens, which is a totally different issue, system RAM or NVMe bound.

Obviously output tokens is VRAM memory bandwidth bound, but this is less and less of the bottleneck these days for overall agentic speed.

1) most law requires intent, especially criminal. OpenAI certainly didn't "intend" to hack these companies given they did sandbox them etc.

2) Given the agent hacked them, not a human, a lot of law requires a person/employee to have done it to hold the company liable if it was part of their work duties.

I think the only real potential ground is negligence (in not sandboxing them correctly and being reckless with running these tests at all), but this requires not taking reasonable precautions. They could argue that they _did_ but it was so novel the precautions failed. But it's important to say if this happens again in the future it's arguably much harder to try and make this case.

Interestingly this was solved with new laws for self driving cars, most of which assign the company that is operating the car as the "person" involved explicitly.

I'm a native English speaker as well, I shudder to think what a second language speaker would do (even if they were very confident with the language!).

You'll notice buildings in central London that are listed _but_ have housing association ownership nearly all have fibre to each apartment, as they did portfolio wide deals with hyperoptic etc.

And pipes don't help. Openreach (who owns the copper network) are not allowed in 99% of cases to "fix" copper with fibre under the agreements they have with building owners, they can only make like for like repairs.

The worst affected apartment buildings are 90s and pre 2015ish. Everything after that got fibre installed at build time.

Btw it is worth checking if you have an altnet like hyperoptic, community fibre or g network available. The majority do and if you are just checking for openreach or VM broadband it won't show up.

But yes, I think we are in agreement :).

Can you tell I have mental scars from nextjs bundle optimisation?

Also, removing dependencies is not easy. I've seen many corporate that have a huge UI lib for example that everyone should use for brand consistency. But it's many MBs of JS, because it has to cover every possible use case.

This doesn't even get into 3rd party vendors who _also_ ship react et al and have other bundles.

I'm not saying the article is wrong, but if you want to free main thread time especially at the most critical point (when the user has initially loaded the page) you _probably_ will find that most of the opp is in bundle size and hydration improvements.

The issue is though that it's too focused on interactivity. In reality, 90%++ of slow sites are not slow because of interactivity really, they are slow because they ship enormous react/nextjs bundles and have extremely heavy hydration work to do.

_so many_ sites have bundles >10MB that need to be downloaded, parsed and hydrated.

I've even seen (many) sites which have multiple SPAs stacked inside of them.

If you're on a slow internet connection and/or CPU the page is basically unusable for many tens of seconds and no amount of yielding post bundle hydrate will really solve that.

Comments URL: https://news.ycombinator.com/item?id=49509810

Points: 2

# Comments: 1

https://martinalderson.com/posts/watch-out-for-cache-read-co...

Btw I still haven't came across any decent model that is <$0.01/MTok cache costs apart from deepseek thru their official API (even with the price increases).

Seems like a bit of an opportunity for someone to take - drop cache read costs significantly.

Also, IME they are dosed completely wrong. So many people seem to be on very low doses, which has no improvement on placebo in the studies I've read.

Whereas, higher doses are _hugely_ better than placebo, especially for anxiety.

What's worse is a lot/most studies on SSRIs in general often don't adjust for dose. Which seems like an enormous oversight to me.