Hacker Newsnew | past | comments | ask | show | jobs | submit | fuzzfactor's commentslogin

The monthly update for W11 is now larger than 5 Gigabytes on x64. And this is compressed.

The original Windows 10 complete install file was compressed also and it was way less sizable than this.

For lots of people it's getting to the point where you might as well adjust your monthly Windows refresh flow to make it just as easy to re-install your OS monthly as it is to update monthly!

With Microsoft pushing that weakness to the forefront, it seriously increases the likelihood that sooner or later more users are going to try a different OS than Windows.

Probably not Linux, but Apple takes this to the bank in spite of all their annoyances.


>Every time you drive by one of these, it'll look like a parade just went by.

What's needed is a privacy non-profit that can park it right there and not just drive by.


Not usually the kind of data that the greediest capitalists would appreciate.

There are some case studies here, but it's only one professor in a largely non-capitalist approach overall:

https://www.reddit.com/r/Cooperative/comments/1bm5s5s/richar...


Thanks for the link, but Reddit is blocking it as if it’s adult content or something. But if I use the app, it will suddenly be OK. Very strange.

Those percent estimates look about right :0

Good CEO's make such good money on their employees that everybody gets raises and bonuses, the company grows responsibly, and the stock is a good investment.

Too bad it's out of reach for so many executives.

If that's too challenging, I understand, but if they had real confidence as a business operator I don't see why so many would be kicking out anybody over AI when they could at least continue to make the same money off the same people going forward. OTOH in cases where AI is almost ideally helpful it should be no surprise if hiring is slowed, and doing the accounting it could very well add up about the same either way. But one way clearly indicates the limited vision of a lesser leader, why settle for that?

Two of the most macro giveaway characteristics are emotionalism and superstition.

Not just for CEO's and other executives, but anyone in a leadership position or with decision-making tasks to perform.

One of the legendary combinations is when superstition is used in place of technology, and emotional reactions completely prevail instead of genuine business acumen.

It's a pretty good estimate that almost every CEO who thinks it would be good if AI replaced their employees, that these CEO's fit squarely in the superstitious camp.

I would say that's just one growing subset of a much larger smorgasbord of superstitions to choose from, and some big-shots are bound to indulge a whole lot more than others :\


If you replaced one CEO that was making 300 times the average salary of an employee - that is equivalent to firing 300 employees. You can have your AI and Reduction in Force without losing all those pesky people with institutional knowledge.

Ideally there would have been about ten years of concentrated effort using more quality control techniques than ever, on Windows itself beforehand.

Unfortunately the platform has gotten less reliable instead and there's now more than 10 years of catching up before it would be perfect enough for AI to even begin to make the most of it.

From what I have seen, AI will leverage the imperfections to a greater degree than the residual perfect behavior, not unlike real human agents.


This has been a problem for a while, Xfinity has the high-speed fiber but the only routers they supply were emerging apptrash for a while, then recently got even worse with none or almost none of the features accessible without a phone any more.

Your best option is to purchase your own cable modem/router and quit renting that garbage hardware from Comcast.

Or kick them to the curb and go cableless using Verizon with a router that's worth paying for.


I agree with everything you said including this:

>That is not hacking.

OTOH it is kind of like letting AI do the hacking that the user can not do :\

Not even real hackers sometimes, which can be pretty disruptive considering the particular crowd persuasion.

Which looks like it's happening when AI can find so many code vulnerabilities that previously required mainly some kind of real hacking ability.


Looks like the pendulum can only swing in a single direction to a limited extent :)

You can tell how much their commitment to open-source is not a facade by how early they contribute their own unique version of NTFS to Linus.

>Claude is starting to meaningfully assist chemists with the daily translation, recall, and integration work that complements their judgment, and we plan to keep extending its helpfulness.

This is a real worthwhile goal.

>Understanding what molecule a chemist is working with is critical.

However there are so many tonnes of chemicals where there is not very deep understanding, it would be good if AI could help with that. In the meantime it remains essential to carry on critical operations in environments where there is little to no understanding at all. Without having things go from risky to more than can be handled.

Ask AI how to progress without understanding. Well when you think about it maybe that's what a lot of people say AI can only do.

One thing to think about also is that natural science has its own "corpus" of literature as a subset of all literary publications. There's a particular literary style, but most sciences are not based on language. Not even numbers, as important as they are.

The much larger mass of literature, for those realms that actually are based on language, gets so much coverage by publication, that's enough to be considered a true corpus of accumulated knowledge. By comparison anyway. And a couple of these are some of the most rewarding things like artistic literature whether fiction or nonfiction, as well as computer languages. Along with computer languages comes lots of advanced computer science too, also some of the most brilliant mathematical minds.

With natural science though, the entire world's publications do not even give significant coverage, not even the full 1%.

With a little back-of-the-napkin math, the odds are probably about 80:1 that the same type language model will be as impressive as it is on language-based efforts.

Nice paper though, I've been looking forward to AI help for NMR spectra since the 1970's. Turns out I never needed NMR professionally but there are plenty of other spectra and this approach can leverage the pattern recognition that AI is somewhat based on, along with hopefully more comprehensive comparison to reference spectra that have been published. Using data centers more massive than some chemical plants, things really can be accomplished that were not within reach before.

If you can call that within reach any better than it was, if it's too expensive, oh well.

Ideally the progress would best be pushed forward until the NMR assistance seems about perfect, then "distilled" into a regular open-source desktop program which does the job without further internet contact. You would want the option to have Claude go back online at times in the future if you wanted to search for newly published advances, mainly spectra. The main obstacle since before computerization has always been the licensing of reference spectra, and computerization piled so much more licensing on, otherwise I would say NMR would have a lot wider use outside of research by now.

Alternatively if you look at it the other way, it could be good to conceptually make a particular chemist into a "Claude" of its own, along with making Claude into a more generally useful chemist or assistant.


Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: