computably

None of that explains why the owner of an Apple device can't install alternative app stores, nor the bundling of their own app store.

If it's about the latency / flow disruption, spending a few hours once could easily be worth it if the result is actually good enough to skip googling/retries.

Even ignoring speed per GP, the Hutter Prize's metric includes the size of the decompressor. LLMs would be disqualified for being larger than 1GB.

> say "better than 95% of humans on 95% of intellectual tasks" but if we used that definition we already have AGI and almost no one thinks we have achieved AGI

What matters isn't 95% of humans, it's 95% of actual professionals. Benchmarking an AI accountant against people with zero accounting experience is worse than worthless.

Narrow pre-LLM models that spit out content and ad recommendations have never been capable of also suggesting, let alone implementing, self-improvements.

The post literally says

> against Stockfish 18, this new release brings an Elo gain of up to 44 points, and wins more than three times as many game pairs as it loses.

Ah yes because copy-paste plagiarism is equivalent to writing original work...

> Nothing to do with some CEO's evil plans, but more to do with the hundreds/thousands of mid-level "not my job" or "doing my best" workers who are actually in charge of handling my data.

The CEO is responsible for what their company does. If a major breach can occur through the oversight or "incompetence" of one worker, the CEO has already failed, whether through negligence or malice.

? That's a complete non sequitur.

> How much do you think an organization like Google would spend on, for example, AI tokens or compute to detect this internally before it was found and exploited in the wild?

On average, probably not that much. What's the amortized cost of all testing, static analysis, and audit / code review, per "prevented potential bug"?

If you ballpark it as a single 3 hour downtime window per week and iid Poisson, then overlapping downtime probability of 2 providers is approximately the expected occurrence rate per 3 hours, 1/56. Not particularly surprising at all.

The law could make mergers executed provisionally for up to X years, with a binding plan to "unmerge" that must be updated every Y months. The FTC already half-does this with post-merge divestiture requirements.

> There’s only one way to interpret this.

In any context, this is about as trivially false as any non-tautological statement can be.

Well, for one thing, you brought up the monster truck first. :) Anyways, I do agree that Nubank's growth is impressive.

It's based on the interpretation of "unreasonable" and while the current rules may be far from perfect I don't think interpreting routine border searches as categorically "unreasonable" is better.

> Not attributing their success to their tech stack is just not knowing the facts.

Touche. Though that's context you could've also included.

> Arguing against Nubank's achievement is like insisting on a flat Earth.

I'm not denying their achievement, I'm putting it in perspective. Having 100 clients for a consumer product doesn't mean a more successful business than 20 clients for an enterprise product. It is apples to oranges, for sure, but you're comparing startup growth in an underbanked region to the literal largest (by assets, outside China) bank in the world.

Uh, no? I highly doubt that a non-occluding watermark on screenshots is even in the top 100 gripes most people have with X. And I don't use either platform. If anything your argument is an accusation of bias without any discussion of merits.

Security is never absolute, it always "merely" raises barriers.

> Nubank (the largest digital bank in the world) using Clojure as their primary driver grew from ~12M customers in 2019 to 131M in 2025 - almost 1000% growth in less than a decade. JPMorgan that has about 80M customers took around 150 years and dozens of acquisitions.

- There's not much correlation between tech stack and product quality, let alone market share.

- JPMC has ~$4.4T in assets vs. Nubank $75B ($0.075T).

Their SWEs will all have Repetitive Strain Injuries long before they hit Recursive Self Improvement, I'm sure.

> Likely yes, as you learn cooking now only by repeatedly cutting carrots the same way you always did but expanding your horizons to new cooking techniques and socializing in the niche will yield much bigger growth.

You are not engaging in good faith. Obviously the point of the argument is that if you hire a personal chef, you are outsourcing the actual cooking and investing little to no time yourself on improving at cooking. Interpreting it as having more freedom to cook, and your contractor providing a service being your friend/teacher, is absurd.

And even in your contrived hypothetical, there's two basic issues. First, mastery can be highly specialized. Second, if you only ever did the trivial and repetitive to begin with, you never intended to improve.

> This Bruce Lee level misconception of "practice the same kick for a thousand times" is extremely outdated perspective on how people actually progress effectively.

This is another straw man. Nobody is promoting this meme that the only thing you need for self-improvement is mindless repetition. That doesn't even make sense, considering the actual topic is thinking for yourself instead of only using AI. The point is you can't get better at something without actually practicing, and "difficult" or "tedious" doesn't equate to "unimportant."

> Did I not become better at raking leaves?

Only in a sense which is obviously not at all what's being discussed. If you hire a personal chef, have you gotten better at cooking? What about a nanny, have you gotten better at raising your children?

Of course automating some cognitive processes can free your time for other, more fulfilling aspects. But there's certainly no guarantee that that's the case.

> People are not calculators - all these simplistic takes are frankly insulting to human capability.

Funny example. Which do you think is more common, people who are innumerate because they believe using a calculator is sufficient, or people who are highly numerate and believe learning arithmetic was a waste of time?

"There is a view in some philosophical circles that anything that can be understood by people who have not studied philosophy is not profound enough to be worth saying. To the contrary, I suspect that whatever cannot be said clearly is probably not being thought clearly either."

That sounds superficially reasonable. The supply chain should be trustworthy and reliable.

The title says "The coolest use for the Vision Pro," not "The Vision Pro is the coolest way to..." or even "The Vision Pro is worth the money."

I didn't say it's all slop, I questioned the cause of maintenance burden. A critical question is how much time is spent distinguishing and rejecting slop. If all the reports are getting "very detailed and long," identifying slop is also a more cumbersome task, even if the ratio improves from say 10/90 to 50/50.

That scale of improvement, btw, I still highly doubt, as slop largely originates from people either negligently or misguidedly directing their agents to completely autonomously find and report bugs. There's always going to be more noise than signal from random people doing random things. ffmpeg cited an actual product, not arbitrary netizens.

Why, what a fantastic idea! Maybe a certain trillionaire would be interested...

Luxury for luxury's sake only covers the opposite extreme of essentials. Innovation often involves non-essentials, considered luxuries early on, and sometimes becoming so ubiquitous that they become new essentials, for better or worse. Cars, AC, phones, computers, internet, smartphones...

There's nothing intrinsically wrong with producing entertainment, internet communities, or branded merch. But I don't think it's that controversial to say "micro-influencer selling/sponsoring merch" is not the optimal career path for most of the people that pursue it.

Spending their time patching, or reviewing slop "patches"?

Of the examples I listed, only programming is a modern invention. Humans have certainly been making music and cooking for thousands of years.