skysight-inc/HackerNews huggingface dataset:
H.G. Wells and C.S. Lewis intersect in more ways than one; in Out of the Silent Planet, one of the characters references Wells's The First Men in the Moon (1900), and the plot of the two parallel each other when the inhabitants of Mars (in Lewis's work) find out about the violent nature of Earth's inhabitants.
If entry-level software jobs are being eliminated by AI or other means, how will people gain the experience necessary to become more senior developers?
> Of course it is taxpayers’ money!

No, its the government’s money. Or, viewing the government as merely an agency for collective action, it is the citizens’ money.

Obviously, the citizenry and the taxpayers have substantial overlap in most real systems, but they aren’t the same group.
I enjoy stealin', it's just as simple as that
Oh well, it's just a simple fact
When I want something, man, I don't wanna pay for it

https://genius.com/Janes-addiction-been-caught-stealing-lyri...
> if we had powerful enough computers, simulate all sorts of things

In reality, we're having a hard time precisely simulating even two atoms interacting, with all the quantum effects, diffraction, gravity (however minuscule), etc.

Our universe is surprisingly detailed.

64-bit floats aren't even close enough to precisely simulate real world. What's the precision of the mass of an electron? What's the precision of its coordinates or motion vectors? Maybe plank length for coordinates, maybe not. What about acceleration? Can it be arbitrarily low? An electron's gravitational field from a billion light years away should theoretically affect us (in time).
The premise is bizarre. Academia is a sanctuary for people who can't get paid to do research because it's not economically exploitable, but is considered socially valuable. Academics are deeply lucky to have this option. Most of us can't get subsidies for our passion work.
There's no reason to be "depressed" about corporations throwing mountains of money at you to come out of the sanctuary.
"Scrappy" on a massive budget. Must have been fun to work at these tech companies when money was cheap!
This is exactly what I was thinking - when is the "bubble" for IT in general going to burst?
<https://www.cactushugs.com/wp-content/uploads/2016/06/aliens...>

(For the uninitiated.)
This seems like a really obvious idea once it’s described.

Browsers aren’t the only tool that could benefit from this—common exploits for Discord or Outlook rely on bypassing 2FA by stealing tokens.
I actually took a punt on them this week (280 shares), mostly because they're selling something so different from the rest of the market.

It seems like the mainstream American EV manufacturers are very blinkered-- bigger, heavier, longer range, more luxury. Those products might appeal to buyers in the US, Canada, maybe Australia, but for the rest of the world, you're going to have to compete with manufacturers like BYD.

I could see the Canoo product selling in a lot of markets that you'd never sell a Lucid Air or Rivian R1T in. Once they've got a stable base on fleet orders, I could see them acquiring a quirky street cred among consumers-- sort of like Volkswagens of the '60s and '70s.
I’m on the southwestern coast of Ishigaki island (one of the closest to Taiwan), and the effects really seem to have been minimal.

The harbor area here was dead silent for a while, empty streets. But things are back to normal now that the tsunami warning has been lifted.
HackMatrix, a 3D Linux Desktop
The tech in store is powered by RADAR (https://goradar.com) - next gen RFID sensor that can work with lower cost antennas. Still unlikely to ever get to unit economics that work for groceries, but really exciting what this team has created.
Any large query result in a large array, so I would disagree on that point. Web apps deal with fairly big data structures, if nothing due to orms.
> While that’s how things work at the district or even state level,

Aside from the fact the fiscal argument you are making isn’t the most important reason why the “taxpayers’ money” thing is wrong at all levels, its also not accurate even within the narrow view of “where does the money come from” at the district or state level, either, since those entities get funded by sources that aren’t “the taxpayers” as well, including other levels of government, like the feds, for whom you acknowledge (correctly) that it is not true because of money creating power.
Canada should take note. Housing is being built at a snail’s pace while the population is growing by +1 million per year due primarily to immigration.

Rent prices in Toronto / Vancouver are out of control ($3k for a one bedroom).
> The DeCSS song is a great example of somebody using a little bit of cleverness to inextricably combine functional code with core protected political expression.

Keep in mind the outcome of the DeCSS case - the Second Circuit did hold the DeCSS code to be protected speech, but it also upheld the DMCA as a constitutional restriction on that speech under intermediate scrutiny. The losing side decided not to appeal, because of the risk SCOTUS might uphold the decision

One could fine-tune an LLM to defend a particular political viewpoint - and you might thereby argue that model weights are expressive and hence within the scope of 1A.

But, if all the government does, is ban open model distribution above a particular parameter size, the government will argue that is a content-neutral restriction (it applies to all LLMs regardless of their viewpoint). It would essentially be a “time, place and manner” restriction, and thus subject to “intermediate scrutiny” - which requires it to be “an important government interest and substantially related to that interest”. And I’m afraid the government has a decent chance of winning there - they just need to convince the Court that AI risks are real, and this regulation is substantially related to controlling them - and I doubt they’ll struggle to convince SCOTUS justices of that (none of whom really understand AI), and if experts are telling them it is risky, they’ll believe them, and they will hesitate to stop the government from trying to regulate those risks

Whereas, if the US government went beyond a mere parameter size limit, and tried to impose “safety standards” on LLMs based on the kind of content they generate (disinformation, extremism, hate speech, etc) - that is harder to justify as content-neutral, and lack of content neutrality makes strict scrutiny apply, and the government is much more likely to lose there. The conservative justices especially are likely to view many of those standards as having a progressive political bias

> What is almost certain is that the argument's strong enough for any regulations to end up stayed while the issue worked its way through a very long legal process. Probably long enough to make the whole question moot.

Yes, it is likely to get tied up in the courts for a long time, and decent (but not certain) odds the regulations get suspended while the case proceeds, and the longer they are suspended for without the sky falling, it does tend to undermine the government’s case that they are substantially necessary. However, I’m not sure if that will really be decisive, because AI safety experts will always claim “we got lucky with this generation, the risk for next year’s or next decade’s remains very real”, and SCOTUS justices will probably believe them
Compared to simply walking out, packing everything into your bags right away without needing to scan with either a hand terminal or "repacking" at self checkout is a lot more friction. Didn't really think it would be until I tried a couple of times in a row and it was incredible.
So basically the same as how people do hackathons. :-)
All Intel did was just report a new operating structure and re-allocate revenue and costs to that segment. So essentially expenses that went into manufacturing before are now just thrown under IFS. It's just a bunch of financial engineering.

New Intel financials:
https://www.intc.com/filings-reports/all-sec-filings/content...

Old Intel financials:
https://d1io3yog0oux5.cloudfront.net/_9bece0e2e2052ad835960e...
Copilot already does this.
>He thinks moderate Democrats with common-sense ideas are taking back their city, and he’s supporting centrists on the November ballot in hopes they will seize a majority of the board of supervisors.

I'm with Garry here. I've been critical of him in the past because of his non-stop crypto to the moon shilling. But I'm with him on his goals for San Francisco.

I want a more centrist government. I'm tired of irrational far left and far right.
Also not op, and nothing against any other provider, but callcentric is another provider that has been around probably 2 decades now and has never let me down. Basically everything is a la carte and cheap.
The last time bitcoin fell ~$5000 in 24 hours was two weeks ago. Two weeks before that it fell ~$7000 in 5 hours. And bitcoin is up 6% over the last four weeks.

This is typical for bitcoin. Anyone can see this for themselves. So the interesting question is to ask why CNBC thinks it's worth sharing a story that blames interest rates with no evidence? It could be as simple as "people will click it". In any case, very dumb.
> Courts have ruled that code is protected under the 1st Amendment because it is something created by human beings, and expresses the ideas and style of its human authors.

They’ve also allowed non-content-based restrictions of that speech under intermediate scrutiny, and content-based restrictions under strict scrutiny, so that LLMs might be within the scope of things to which 1A protection applies does not mean that restrictions on distributing open LLM weights would necessarily violate the 1A.
> Obviously there are limits to what a small model is capable of doing

This is not obvious to me. I mean yes, limits exist, but I seriously doubt that we are anywhere close to them. This is exactly the kind of question that needs academic research!

I feel that our current models waste tons of compute and memory and there ought to be room to optimize them by 10x or even much more with new techniques.
Not without more information.
Agreed…mostly.

It’s not irrational that we’ve forgotten how to funnel an American core value of “being best” via government spending on “defense” into “socialism” (the public good) by way of smart people who insist on comfortable and esteemed as their minimum job perk level, but care more about knowledge than power deep down.
Eh, Until we have a "this is AGI" moment, self driving cars are going to be a pipe dream, so not sure if they are a great example.

And, yea, put your money where you're mouth is with your investments... I think you'll quickly end up relearning what "The market can remain irrational far longer than you can remain solvent" actually means.

Trying to put discounts on license renewals on LLMs not selling is missing what the hell is going on in the market outside of AI. It is rough out there and business spending in general is way down. Trying to lump that in with lack of AI adoption may be a mistake.
Arc is fabbed on TSMC N6, per https://en.wikipedia.org/wiki/Intel_Arc
WeWork said on Tuesday it aimed to emerge from Chapter 11 bankruptcy in the U.S. and Canada by May 31 and had negotiated more than $8 billion, or over 40%, reduction in rent commitments from landlords.

The shared office space provider, once privately valued at $47 billion, filed for bankruptcy in November as it racked up losses on its long-term leases after demand for office space plunged during the pandemic and from a shift to hybrid working.

The SoftBank-backed company’s post-bankruptcy business plan is premised on a significant reduction in future rent costs from its landlords.

The company said on Tuesday it had agreed to amend about 150 leases with better economic terms, such as reduced rent payments, and it is in the process of exiting another 150 leases. The company will maintain 150 leases without change, and it is still negotiating with landlords for about 50 additional locations.

WeWork’s lease negotiations will allow the company to exit from bankruptcy as a leaner business, ready to provide workspaces that will benefit both employers and landlords during a period of uncertainty in commercial real estate markets, according to WeWork’s global head of real estate, Peter Greenspan.

“The need for these types of services and spaces has only increased, so it is a good time to go through this process with the landlords and rethink how we monetize all this office space that used to be filled with traditional, long-term leases,” Greenspan said in an interview.

WeWork did not exit any geographic markets when it scaled back its leases, instead pulling back in some cities, like New York, where the company grew too fast or experimented with other products outside of its core coworking space business, Greenspan said.

WeWork in November reached an agreement with more than 90% of its bondholders to convert $3 billion of debt into equity. SoftBank 9984.T, which currently owns about 70% of the company, would retain an equity stake under the proposed restructuring.

Meanwhile, WeWork co-founder Adam Neumann has submitted a bid of more than $500 million to buy back the company, with the financing process currently unclear. WeWork declined to comment on Neumann’s specific bid, saying it receives and reviews “expressions of interest from third parties on a regular basis.”

Under Neumann, WeWork rapidly expanded to become the most valuable U.S. startup. But his pursuit for growth at the expense of profit and revelations about his eccentric behavior led to his ouster and derailed an initial public offering in 2019.
Show HN: Portr – open-source ngrok alternative designed for teams
“OpenAI's annual run rate—a measure of one month's revenue multiplied by 12—hit the $2 billion revenue mark in December 2023, two people familiar with the knowledge told the Financial Times.”

https://qz.com/openai-will-make-2-billion-revenue-soon-tech-...

Several well-known professional services firms have already deployed AI for their workforces. Many software engineers, esp younger ones, use ChatGPT or its equivalent every day at work.
> Pay will never be enough, as a point of fact

can you explain this a bit further please? also, what's the storm that's coming?
I am not too worried about anything pre-2000 as emulation has got really good over the last few years, just in time as the surviving legacy hardware became prohibitively expensive to acquire. The internet archive has also made it easier than ever to access old software.

What concerns me are early 2000s stuff with DRM and server-side content to make preservation difficult if not impossible.
When software stops eating the world. No one sees that date on the horizon yet.
This is why the Shindo scale is favoured in Japan, as it addresses the effects on people and buildings in a particular area, so you can tell just by looking at what is shaking and how much to get an idea of the strength. The worst part of experiencing an earthquake, for me, is realising that anything can happen in the next moments, otherwise it's weirdly normal.
Passing the Squirrel Turing Test [video]
I believe the hype will die down. But I think there are still some legit use cases for AIs and LLMs.

Besides, you don't have to train LLMs. You can just use the trained ones to leverage it in your job or hobby.
It's called "dumping and monopolization" and is ancient and standard antitrust (illegal) and VC (highly rewarded) technique.
A few things that will happen:

- Hollywood disrupted

- Music industry disrupted

- Gaming industry disrupted

- Search disrupted

- New forms of media and social media

- Molecular and chemical discovery enhanced

Things that will happen with one or two possibly low hanging fruit discoveries:

- AI agents

- AI reasoning

Things that will happen on a longer time horizon:

- Self-driving

- Robots and automated manufacturing

- Software automation

It doesn't have to be perfect right away in order to strike at over a trillion dollars of (growing) TAM. And the field will keep getting better with more eyeballs, more practitioners, and more investment dollars.
No android version :-(
> Scan as you shop is a big step backwards and feels like you've got the annoying self-checkout experience looming over you the entire time you're there.

How do the Amazon "Dash Carts" actually work though? If it were a traditional bar code scanner, I'd agree with you. But reading up on the tech makes it sound like you just place the item in your cart and that's it. If it worked like that I don't see at all what the problem would be.
R-045/R-046 Starshel
Yeah, thanks to certain big states having misguided (in my humble opinion) laws that say you can’t record a conversation you were a party to without all-party consent, I’m assuming nobody wants the liability of making that simple and automatic.

In my humble opinion it’s weird to say someone cannot augment their own memory with something, or especially, keep proof of something a corporate entity told them. so I hate the 2-party consent law.
I understand the argument for national security. Having said that...where's the accountability if what they build is terrible? Where's the return to the investor (the public) if they succeed?

I'm not saying the government should just take over businesses...but if the government is going to essentially be an investor in a business, it should be at least as rigorous as a private investor would be.
It's bad because it redirects human effort into wasteful activity. Same season communisr central planning is bad.
If it's any consolation, there's not really time to escape a collapsing building from any level, since the bottom floors usually are crushed first and near instantaneously. If you look at pictures from partially collapsed buildings in Hualian you can see that sometimes it's just the bottom floor that's destroyed and the remaining floors are fine for sometimes days or even until the building is manually taken down.

The pictures of collapsed buildings after earthquakes are scary but the chance of an individual building collapsing are quite low, you're at far greater risk if you're outside near buildings because broken glass or similar could fall on you.

The standard advice is good advice for a reason: stay inside, under sturdy furniture, on your elbows and knees, covering your head. You can learn more here: https://sf-fire.org/disaster-preparedness-information-resour...
I mean ideally students can still get jobs on campus serving other students and staff considering how expensive education is.
I believe in this technology too. It is classic for technologies to enter the hype cycle, with a bubble forming followed by the "trough of disillusionment".

Huge potential with LLMs, but that doesn't mean pain isn't going to come.
apparently they attribute the loss to deciding not to purchase EUV earlier from ASML. did they really think they knew better than company that's defining SOTA?
Yeah, but that's client-side caching, which doesn't get you much in terms of scalability. Scalability comes from transparent backend reverse-proxy caching — Varnish and the like. You can cache the resources that go into a GraphQL response, but you still have to build the GraphQL response each time — and that can become a problem, as various should-be-trivial parts of each request's backend lifecycle start living long enough during high concurrency request loads to destroy request-queue clearance rates.
Incredible and nostalgic. Excellent project!
I think this is incredible advice.

I have and continue to take approach IV and VIII[0], and its worked very well for me. Especially now that my research is investigating LLMs[1], scaling down and using architectures that focus on performance is paying dividends.

Working in a niche applications (molecular biology) is also a great way to remain sane (although it comes with its own problems).

[0] "Scale down" and "Small models"

[1] Well, "large" is a relative term here.
I don't believe Samuel Delany is an open NAMBLA member. He has expressed support for NAMBLA in 2004, and in 2014 admitted to reading a newsletter from them but claims not to have kept up with them for 20 years. These statements are now a decade and two decades old & I don't know what to make of him now these days. If you have more recent info, please let me know.

[Also: alleged pedophile? who alleged him of pedophilia? seriously asking]
Being forgiven doesn't make it not a crime, or just reduces the chance of enforcement.
Waymo can get there, it’s tightening screws at Waymo. But it’s the exception that proves the rule: no one else ever gets there on today’s model. You’re basically right across the board.

Cruise gets written down, Tesla still makes cars but you have to drive them, yeah…I think that covers everyone else.
That is absolutely dystopian and completely awful. Everything Amazon does / releases you should assume it’s evil in some way.
> It's telling consumers that this product is intended to be a substitute and enables comparison shopping on the level of like-for-like.

For larger, nationally known brands, that makes sense. But for smaller brands like this article is about, TJ will expose many more people to the product than were originally exposed to the brand, leading the original brand to appear like a knock-off.
Silk Road scammer charged with narcotics trafficking and money laundering
It's definitely possible, but there is a lot of hand waving going on with terms like "Music industry disrupted". Where is the AI that is top of the charts? What movie did AI create that I am forking over my hard earned money for?

In the 1980s and 1990s there were many prognostications about how the internet would disrupt everything. And it basically did, to varying degrees, 10 to 25 years later...
This hammered home for me how incredibly recent are a lot of the scientific discoveries we take utterly for granted. Even before nuclear energy, atoms themselves were only confirmed to exist in the 20th century. Everyone knows about plate tectonics, but that was confirmed in the 60s or something.
Yay ! Let us be depressed that postdocs we could have exploited for $16k/year have better options than polishing our shoes :(
You don’t even have to go on sabbatical to found and run multiple startups.
When Amazon Fresh first launched, it was just SWEs running to the grocery store when someone placed an order.
I've been working on this for the past month, and in its current state it runs some actions, but it's very context-dependent.

For example, if I'm on a GitHub page and I say "clone this git repo," it works pretty flawlessly (git clones the repo in a scratch directory you set up in the settings), but if I'm reading a blog which references a git repo, it sometimes gets confused (may try to "clone" the blog URL for example), so I'm working through a few solutions, while trying to avoid multi-shot prompting.

A lot of this involves pretty par for the course data cleaning. For example, you'd turn the user query into an embedding which you then compare to a few "contexts" (git workflows, research, creative work) to see which one matches it best, and then prune the raw screen data per that context, removing (or de-emphasizing) non-context-relevant information. So, in the above case, if I'm trying to clone a git repo, I don't care about non-git URLs (we can mask them, remove them, or whatever). Then, we feed the sanitized context to the LLM. Et Voilà !
I really love Berkeley Bowl (in Berkeley, CA) not just for its unpackaged and quality produce but for the extent to which I can go completely plastic free.

I can use my own bags for produce and my own containers for a massive range of items sold in bulk (flour, grains, nuts, cereal, pasta to name a few). And then a few others that I have not seen elsewhere: I can fill up my own bottles with shampoos, detergents and oils!
What's echo? It's impossible to look it up on the web
Agreed. It would be cool if you could recycle them then and there for re-use.