Dirak

Praying this isn't another Llama4 situation where the benchmark numbers are cooked. 84.6% on Arc-AGI is incredible!

No, just when Europeans (like yourself) need a reminder that they're not exceptional in their "level headedness" and "soberness", and in fact are anti-exceptional when it comes to real world outcomes like GDP.

This has never been the case across the history of humanity -- there has never existed a non-biased institution, and it's incredibly naive to think that a German think tank funded by the German government would be any exception.

"Level headed" and "sober" people are not immune to the effects of incentives and conflicts of interest. Researchers are dependent on grants, on invitations to conferences, etc., and so are liable to follow trends (tariffs bad), and p-hack to support the mainstream narrative (as they do in this analysis with P values > 0.01).

> German academia is actually full of sober, level-headed, nuanced people

Thanks for the laugh. I hope you realize how pretentious this sounds. In actuality, Germany's GDP is about 1/6th of that of the US, so these German academics don't sound very bright for how "level headed" and "sober" they are.

Today the S&P500 is at an all-time high, energy prices are at all-time lows, and there is no clear indication of recession. This, all in spite of the fact that for the last decade, economists have been crying that tariffs would ruin the American economy, trigger deep recession, etc.

The claim of this analysis is a significant backpedaling on the narrative they've been wrong about regarding the effects of tariffs. Instead of trying to reposition the goal posts on the effects of tariffs, it would be far more productive to simply acknowledge that the original dire predictions of tariffs did not manifest.

Blind person uses Meta Raybans glasses as a sight aid to help navigate her surroundings. For instance, asking the glasses what aisle of the supermarket she's looking at. Wanted to share this since it seems like a really cool usage of integrated LLM technology.

One should be suspicious of ulterior motives when the CEO of an AI company makes a claim like this.

On one hand, LLMs do require significant amounts of compute to train. But the other hand, if you amortize training costs across all user sessions, is it really that big a deal? And that’s not even factoring in Moore’s law and incremental improvements to model training efficiency.

> You don't seem to understand what a conditional is; you'd have a hard time doing math or formal CS.

Ad hominems are against TOS.

Answering the question is irrelevant if it’s the wrong question to begin with. And for the wrong circumstances (ie if this is a family vacation) can be counter-productive. It’s far more productive to zoom out, ask why the author is asking for advice to study react on vacation, and address that instead. Consider this as you advance your career past recent college grad / swe1 :)

I feel like this is a solvable problem: 1) make feature flags be configured to have an expiration date. If over the expiration date, auto-generate a task to clean up your FF 2) If you want to be extra fancy, set up a codemod to automatically clean up the FF once it's expired

I don't see the problem with developers using flags for configuration as a stopgap until there's a better solution available.

Ads are not at all horrible. Ads help connect products with the niche markets of people that could benefit from them. Many cool products are too niche and would not be able to exist without targeted advertising. Yes, when done distastefully, ads can be quite horrible (ie ads for gambling and other vices), but when done well, both the user and advertiser benefit. This has to be true, otherwise, if users never found ads useful they would never click on them, and then advertisers would’ve never pay for advertisements since they wouldn’t benefit them.

Ads are human reviewed. Either you’re exceptionally unlucky with reviewers or there’s more to the story here.