skysight-inc/HackerNews huggingface dataset:
It would just grow quirks like that over time, just like every system before did.

It's impossible to make all the right decisions at the beginning any big project that never get changed.
I suppose this is both good and bad. I wonder if Red Hat/IBM anticipated this, and how they will respond to it.
It's more correct to say that Zuck tried to appropriate "metaverse" for his product, Meta. The metaverse, coined in 1992, has existed, in primitive form, at least since the days of MUDs. <https://www.technologyreview.com/2023/02/17/1068027/ultima-o...>
The best time to stop that was probably last century. The second best time is today.
I actually think we're headed in the opposite direction as a civilization: there has never been less trust from the median person. I don't trust chatgpt. I don't trust Facebook. I don't trust google. I don't trust the news or government.

There are downsides to this. I don't think it is necessarily healthy. But I have zero concern that people will all walk off of a cliff (especially young people) because someone or something told them too.

There are exceptions to that (a very vocal minority who are neck deep in conspiracy theories and politically motivated fake news). But the median person is jaded not blinkered imho.
TL;DR: AutoGPT has similar if not identical problems

re: AutoGPT

Got really excited at first. Thought maybe I had missed that it was viable in a year of playing with LLMs. Tried a few demos, didn't work. Looked into it more and confirmed a core loop involved LLM eating its own output to make decision.

I still kept investigating it on my todo list, in case my earlier experiments with that approach were wrong.

I took it off the todo list later.

I saw near-universal feedback like yours, that general technique never worked IMHO, and IMHO sycophancy explains why. Paper here[1], TL;DR the model is very likely to agree, so critical feedback loops over multiple steps tend to settle into a loops of steps.

IMHO this doesn't mean sycophancy breaks _all_ workflows, ex. a flow for writing a story involving outlining, writing, criticizing, then rewriting is a genuine real quality boost.

However, if a human does write => criticize 10 times, it keeps getting better each iteration. If you have an LLM do it 10 times, IMHO it's actively harmful after round 3.

"outline" => ["write page 1", "write page 2", "write page 3"] => ["feedback on page 1"..."feedback on page3" => ["use feedback and original draft to rewrite page1"..."page3"] => "combine pages 1 2 and 3 into cohesive story"

[1] https://www.anthropic.com/index/discovering-language-model-b...
I am SUSE-curious after all the drama and lost trust with RedHat and IBM but any partnership with Oracle makes me uncomfortable.
Anker knows batteries and their LiFePO4 batteries are solid stuff (as are their traditional lithium cells).

Even if you prefer a US maker, competition will help lower prices.
Transformer architectures like GPT are:

1. Artificial, AKA man-made;

2. General, meaning they are able transfer knowledge to solve arbitrary problems outside of their training domain; and

3. Intelligent in the sense of being able efficiently find efficient solutions to problems which exploit structure of the problem domain.

Artificial General Intelligence: A.G.I.

If you think AGI should mean something else, then that's because the goal posts have moved since the term was defined by GOFAI AI researchers some 2 or 3 decades ago. Some people in the 90's and 00's thought that merely having an AGI system (like ChatGPT) would result in runaway self-improvement leading to god-like singular powers that take over the world. Now some people have taken "AGI" to mean this fictional (and impossible) thing. That's a confusion on their part.
Not really. A micromanager is more consistent in their interventions. With him it was much more distributed and somewhat random.
Navigating the tech industry's vastness can be overwhelming. Consider focusing on a niche within distributed systems that truly interests you. Deepening your understanding through online courses or workshops could help you bridge the knowledge gap.

Remember, expertise is a journey, not an instant achievement. Embrace the learning process and gradually you'll find yourself gaining more in-depth insights.

Impostor Syndrome is common; you're not alone on this path.
> Sure, maybe the tone could be improved

Sometimes, you just have to call out the obvious. But it's been upvoted again. It seems more people have a rather dim idea of this contribution to science and humanity.
So you're PR
"All white people are racist" is a racist statement itself. And the Harvard admissions department is not representative of "white people".
It's absolute fucking garbage when it comes to text chat. It boggles my mind that they had so many examples on how to do it right and fucked it up so badly
We get fresh plates with every redesign - you might be able to steal a tax-year sticker from someone's mailbox, but after X years (think it's six) they're going to redesign and an old plate will be obvious. Regardless of how long you've had the old one, when the new design comes up, everyone (except those who pay extra for a "themed" plate, not just a custom set of letters/numbers) gets a new plate.
I think anyone that's betting on it being false is nuts at this point. It would be astounding if it held for the first three trillion then broke down.

Generally patterns like this get more regular as the numbers get bigger not less.
Power laws and how many there are once you start to recognise them.
He makes one really good insight:

> If you really want to be a critical reader, it turns out you have to step back one step further, and ask not just whether the author is telling the truth, but why he's writing about this subject at all.

Followed quickly by being hopelessly naïve about the future:

> Whatever its flaws, the writing you find online is authentic. It's not mystery meat cooked up out of scraps of pitch letters and press releases, and pressed into molds of zippy journalese. It's people writing what they think.
That's simple: Ivy schools are mostly for $$$ to schmooze with other $$$, with a thin veneer of actually talented kids that had to pass insurmountable odds to get in. The talented kids are there to make the $$$ think they're also talented and had to pass the same rigorous criteria. Smoke and mirrors all of it.
I think the reason is because employers are putting in various requirements for a job. 'Must be proficient with React' or 'Must have experience with $FrameworkOfTheDay' is a common occurrence. Really, all you need experience with is HTML+CSS+JS/jQuery and maybe PHP for back-end stuff. You can build anything with that stack.
But if you're not in SLU, is it really living?
It was clearly a response, yes, but an answer is always better than a response. Thank you for answering!
One more who loved that game.

Friend and I used to get stoned and one of us would do translation and the other rotation. I forget who controlled the drop.

Achieving fluent hive-mind sufficient to beat higher levels in flow state was quite a thing.
Why don't you go ahead and personally do it then? It's pretty close to free.
Other blind people see a flashing shifting colorful mess in their field of vision. I know someone who can even mentally control the perception of the visual disruption to an extent, like making it flash different colors.

The visual system from the eye to the brain and everything between is incredibly complex and can fail in all kinds of different ways.
Are humans a cancer on the planet? A physician argues that civilization truly is
The title was edited to get the length under 80 chars.

Original title: Are humans a cancer on the planet? A physician argues that civilization is truly carcinogenic

"Many species in Earth's history became so successful that they wiped themselves out — and we could do the same."

"We have essentially made a decision at this point as a species to go extinct."

"We now have 10 or 15 other new characteristics of cancer, and the human species fits all of them."

"The prognosis, in medical terms, for cancer is death. The cancer continues until the host organism dies."
Fair. I guess my counterpoint would be it may enable off world manufacturing which may be a net benefit for the planet?
> rather than an abstract "we think they're probably bad".

I think this is the inflection they actually used when they talked about Huawei routers.
Your character arc is just getting started :)
A bit of both, but it does certainly generalize. Just look into the sentiment neuron from OpenAI in 2017 or come up with an unique question to ChatGPT.
This is super important and also really hard to do right. The best way to tackle embodied carbon is through a 100% fee and dividend scheme, because then you can easily avoid the accounting games that companies will try to play:

https://citizensclimatelobby.org/basics-carbon-fee-dividend/

Passing such a law is difficult at a state level (though maybe possible).

Where this also gets tricky is that sometimes attempts by companies to lower carbon, both operational and embodied, ignores rebound effects / Jevons paradox and so they can simultaneously say they're doing good while their total emissions are rising. This too is where a fee-and-dividend scheme will help.
MICROS~1
Email is a subset of mail ergo the laws that apply to mail apply to email. Are you telling me that the method of delivery whether it be by horse, car, person, or telephone wire should impact the applicability of the law?
So you're not saying that the demonstrated diagnostics cannot be relied upon, but rather that you require some other diagnostics which you believe are not there.

Diagnostics which have not been made requirements in a language, and are therefore not implemented, indeed cannot be relied upon to be there, and we can write test cases which show that some situations would benefit from those diagnostics (all else being equal, which it usually isn't).
Under TDD, we can write a test case that fails for something that is not implemented and not a requirement (but about to become one).

That's a different claim though.
https://archive.org/details/msdos_Blockout_1989
Who says endurance Athletes don’t experience greater problems with mood disorders? Because they do.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10051630/#:~:te....

There’s likely a U-shaped curve regarding the benefits of exercise and mental health.
My point was really that without any promotion (maybe a tweet?) I earned more from actually selling the album than I ever would via streaming it.

Certainly if I wanted to sell more, I'd need to think about that sort of thing. But I'm already way out ahead of anyone in my position who had opted to rely on streaming for income.
You still can't really say the US government doesn't do things that are deeply impactful, many times very negatively impactful.

The US government serves the US's interests. I have no illusions as to how well it behaves towards other countries.
After reading this one: https://www.ratherlabs.com/blog/the-roadmap-to-become-a-bloc...

Implementing these practices has brought a remarkable shift in my overall programming life and allowed me to move on to new horizons
thanks! that’s the goal (:
It’s interesting to see how a lot of new gas cars have Apple CarPlay / Android Auto but all of the new EV cars are going towards custom OS which essentially leads to worse user experiences for manufacturers who aren’t well versed in software.
https://archive.ph/AUEWS
Thanks will fix this
> Not data

Photos are a type of data and are equivalent under HIPAA which only considers "Full-face photographs and any comparable images" PHI.

For further clarification of what "any comparable images" means we can turn to the slightly less ambiguous commentary from HHS:

>Comments: Some comments noted that identifiers that accompany photographic images are often needed to interpret the image and that it would be difficult to use the image alone to identify the individual.

>Response: We agree that our proposed requirement to remove all photographic images was more than necessary. Many photographs of lesions, for example, which cannot usually be used alone to identify an individual, are included in health records. In this final rule, the only absolute requirement is the removal of full-face photographs, and we depend on the 'catch-all' of 'any other unique characteristic' to pick up the unusual case where another type of photographic image might be used to identify an individual.

https://aspe.hhs.gov/sites/default/files/private/aspe-files/...

> it’s going to be very hard to argue tiktok posts fall under an exception for the privacy rule.

I completely agree that it's very hard to deidentify photos to a degree that they can be publicly disclosed (noting that TikTok is not specifically relevant to this challenge, the same considerations apply to a training dataset as one example).

However, you described a specific hypothetical (Even if the images are altered to make them impossible to identify the individual) that would by definition satisfy deidentification requirements and no longer be considered PHI per this guidance.
This sounds like someone is trying to empire build at GM to create their own version of carplay so they can be promoted.
Minifying HTML is basically just removing non-significant whitespace. Run it through a formatter and it will be readable.

If you dislike unreadable source code I would assume you would object to minifying JS, in which case you should ask people to include sourcemaps instead of objecting to minification.
> No idea. Should I care?

This is a good question. Should you know how you made money? Do you need or want money? What even is a “sale” other than somebody giving you money for your music?

“Should I know what led to the situation wherein people paid me money?” is a question bordering on mystical best left to the music philosophers and academics.
I love the font on this page!
Rhino Linux is a rolling release Ubuntu-based distribution
They have a paid API for Stable Diffusion for one thing. I have been using it.

Operating a Google Cloud VM with a good GPU continuously is expensive for a bootstrapped startup. Sure, they opened themselves up to competition by making it open source. For example, I have also used Replicate quite a bit.

Maybe a lot of their income comes from contracts to fine tune models. For which open source makes things smoother.

Overall it seems doubtful that most of these companies will really make back all of the massive investments. But I certainly appreciate their (apparently subsidized) products.
Is the work at Harvard Extension not as hard? Or is the complaint about prestige (class)?
It's a battle of control of what information the consumer sees and the stream of what private information is pilfered back. Apple/Google have a deathgrip on smart phones by disallowing root, and automakers have taken note of the playbook.

I used to say "in the future your car is unlikely to start start without wifi", but now that promise has come true, I'll just say "your fridge is unlikely to make ice without wifi".
Good! Hopefully it will have no touchscreen either, only tactile buttons.
If they're trying to get metaverse investors' money, then it's a metaverse company.
I was trying to make an AI for my 2d sidescrolling game with asteroid-like steering learn from recorded player input + surroundings.

It generalized splendidly - it's conclusion was that you always need to press "forward" and do nothing else, no matter what happens :)
You sign up for them and never close them. I probably have nearly 50 credit card accounts alone and since they're free of monthly/yearly fees, I really don't have much motivation to close them.

On top of that I have two retirement accounts, four bank accounts (not counting various accounts AT those banks), and more. They collect if you don't weed them out.
Please tackle large carbon sources first. If small ones are still a problem then of course we should touch those as well. The Earth doesn’t care about effort or intent, only about net carbon. Touching small sources while large sources are still going is foolish, especially if it adds friction to tech development.
That’s a good summary and it makes a lot of sense.
No, actually this is just how language evolves. I'm glad we have the word "car" instead of "carriage powered by internal combustion engine" even if it confused some people 100 years ago when the term became used exclusively to mean something a bit more specfic.

Of course the jargon used in a specific sub-field evolves much more quickly than common usage because the intended audience of paper like this is expected to be well-read and current in the field already.
tl;dr: Lattner: "I didn't realize Julia aims to be a new Python. Our language Mojo also aims to be a new Python, but Mojo's approach is 'We won't try to get people to learn a new language. We'll instead make Python better.'"

Interesting to see him first try to make Swift for ML a thing and then go back with a new approach of "Actually, let's instead start with Python and make that better. Meet people where they are." Which is a big part of making a successful and impactful product. I think people making new languages often neglect this aspect.
The inspirational effect on people in general and particularly kids is not to be discounted. If you want the next generation of scientists, you have to give them something to dream about. These launches are more than worth it.
The audience is streaming, no question about that.

The question is where is the paying audience ? The answer to that is a bit less clear.

Also, given how many musicians and music fans appear to NOT know about Bandcamp, it's tricky to gauge the extent to which that model is an alternative or not.
You mean 1045 right?
> sigh. Ok, let me explain why this attitude is not just stupid, but evil.

the words of a religious lunatic.
I think this is great service, and here is another one that Netflix provides:

https://fast.com

That one uses Netflix servers, so you get a valid test as long as your ISP isn't throttling Netflix. Of course they created it so that people would call their ISP and complain they aren't getting the speed they pay for, but it turns out it's a pretty good test most of the time.

And most importantly, it isn't prioritized like speedtest.net.
LORAs are kinda able to do that.
Energizing AI: Power Delivery Competition Heats Up Vicor, MPs, Delta, ADI
> But the best cure for over-fitting is to make the dataset larger and ensure data diversity.

This is also good life advice.
New Calculations Show How to Escape Hawking’s Black Hole Paradox
There could become a point where technology has advanced so far that cell tech is all there is. Imagine everything was just wireless and the internet penertrated everywhere
GPT-4 have seen lots and lots of recipes. You can ask it to exclude ingredients which are not normally used in recipes. LLMs of this size should be quite good at 'common sense' classification, and you can definitely ask it to err on the side of caution.
Because labels run properly have great data to market more effectively, and can spin up tried and trusted playbooks, because they tend to be genre specialists. An electronic artist won't sign to a folk label - but a folk artist signing to that label can plug into a whole bunch of proven strategies, which mean far less money and opportunity is wasted. There's a whole bunch of stuff - pixel data, audience profiling, relationships with playlist curators, email lists - that a label can apply to an artist they sign.

Releasing music onto YouTube or Tiktok is not marketing - it's distribution. Distribution is trivial, it's a commodity service. Because anyone can distribute music, there's lots of it. Getting much heard requires specialist expertise - and that's why there's probably more value in good labels today than there was ten years ago.
That's true as long as the officers don't have other reasons to pull you over (like race) and the city is being overly strict, and like a bunch of other conditions.
this is highly misleading & rage-baity. In India I have seen jobs mention this kind of thing as CTC (Cost to company) which is what it really is not what get reported to IRS as gross income.
as I said earlier "6 years passed" since 2017 and the arrival of A.I. is causing authors (to say the least) real concern. the industry/ecosystem around X is enough to change to affect those associated with X.

you offered a "pet theory" (as you say) further up, but not much by way of proof that their fear is irrational.

i think we've reached in impasse here, the points are re-cycling.
Memory Makers on Track to Double HBM Output in 2023
I recently installed an Enphase home backup system as a DIY project (crazy, I know). The biggest problem with any home-backup system is moving the loads onto their own sub-panel. When the utility goes down, power needs to flow into the home, but not to the rest of the neighborhood. To do this, a switch needs to physically disconnect the utility meter from the main loads panel. If this isn't possible (such as when the meter is integrated into the panel), all the loads need to move to a sub-panel. This is the hard part.

Once the meter and main panel are separate, the various backup solutions become pretty similar. The disconnect switch installs between the two, with the solar and battery attached. Sometimes the disconnect switch + solar + battery are all in one unit (like the Bluetti EP900), while sometimes the solar inverter, battery, and switch are all separate units (like Tesla or Enphase). The Tesla switch and battery are sleek & glossy, but the inverters are ugly. The Enphase stuff isn't quite as shiny, but at least the boxes look consistent.

Performance-wise, the systems seem pretty similar as well. Most systems are around $10K for 10KWh of capacity, with somewhere around 6-9 KW of peak discharge rate. I imagine these prices will drop a lot over the next decades. If the battery becomes obsolete, just install a different system. Once the home is correctly wired, swapping the storage system should be pretty straightforward.
Is that still true with modern compression?
You’re talking about how it starts. I’m talking about how it ends.
you're making a common argument in a very roundabout way that "the minimum wage leads to unemployment", which is not borne out by any data whatsoever
The one thing I did like was providing chatgpt a table of means and CI and regression outputs from R for an interaction and asking it to summarize where the differences were.
> but how did they find out your album existed in the first place?

I would assume they found it through Bandcamp's discovery services if the user is not putting their music on streaming services.
I left a few assumptions out of my response that may help anchor my advice back to the question as originally asked:

There will, for the next decade and likely the next two decades, be several million jobs that are using the Javascript ecosystem. (out of ~30M programmers worldwide). If OP (or anyone else) is happy enough working in that ecosystem and concerned only about ongoing employability, finding a way to be in the top 10% of Javascript programmers is more than sufficient. (Being in the top 25% is probably more than sufficient.)

If you start from a base case of 10K hours of JS experience, are you better off with that or instead having 9K hours of JS, 250 of a lisp, 250 of Java/C#, 250 of golang/rust, and 250 of SQL? I think the latter candidate is far more likely to be able to succeed and thrive in the JS world than someone with the "extra" 1K hours of JS experience.

I think you choose JS or not based on whether you like working in JS, then if you choose it, you find a way to maximize your chances for success, which I think is "something different from JS and happens to be 'become a well-rounded individual'."
this is highly misleading & rage-baity. In India I have seen jobs mention this kind of thing as CTC (Cost to company) which is what it really is not what get reported to IRS as gross income.

(copied my comment from other thread)