skysight-inc/HackerNews huggingface dataset:
What you do is make the normal game play like CS or SimCity, but you have options to turn on "difficulties" that would basically enable different aspects/gameplay.

For example, you could add "federal/state requirements" where a new freeway/rail line/whatever would appear on the edge of the map and you have to get it to the other side, making connections as appropriate.
> Except I do not. That presents a false dichotomy, and a remarkably simplistic one at that.

In this case you can only be against Russias invasion of Ukraine which I assume yo wholeheartedly are.
AT&T warns T-Mobile US, Starlink may disrupt terrestrial cellphones
Are theory-weak engineers writing unsound code lacking clarity and structure because they are ignorant of the knowledge captured in academic research? Are those same engineers so thin-skinned they can't take any criticism because it activates their "imposter syndrome," so they never improve and repeat the same basic year 2 errors.
If this this just Lars fault, and the band is not tight, how do you explain the consistency of the delay each time the riff is played? How likely do you think this is, statistically speaking?
While I appreciate the concerns over the potential of rogue AI, I think it's important to offer a counter-narrative to the doomsday scenario often presented. The idea that there will be one rogue AI that spirals out of control is, in my view, overly simplistic and doesn't account for the vast ecosystem of AI that already exists.

Consider this: our world is already filled with numerous AI models of varying power and functionality. In the event that one goes rogue, wouldn't it be plausible for other models to step in, contain, and mitigate the damage? This dynamic is not much different from what we have witnessed in the field of cybersecurity, where security teams and hackers are locked in a constant struggle — a patch and breach cycle.

Also, let's think about the future. We're close to a situation where we don't always have the upper hand over the tools we build, but that's a continuum of the path we have already been treading. It will require collective effort, both from humans and AIs, to combat any rogue AI or even a fleet of them.

The notion of AI being centralized doesn't line up with what we're already seeing play out. An AI ecosystem with hundreds of variations, serving as a safeguard against a rogue AI, seems like a more promising and secure future. We should be focused on developing a diverse array of AI models rather than worrying about a singular rogue entity. Our defense strategy against potential threats lies in the broad dissemination of this technology, not in its undue concentration.
Bengio is a certified and maximally informed genius, so my thoughts obviously deserve far more salt than his. But...

The thrust of this argument is that centralized authority -- perhaps uniquely centralized, as Bengio proposes an agreement between Russia, China and the USA as an example -- is the best safeguard against rogue AI. He goes as far as calling out open source development of AI as a contributing threat:

> [if] the open-source community continues to play a leading role in the software development of LLMs, then it is likely that any hacker will have the ability to design their own pre-prompt (general instructions in natural language) on top of open-source pre-trained models...

The concern is logical, but the solution is self-contradictory (as many intellectually honest explorations turn out): a section later, we are appropriately exploring nefarious corporations as examples of mis-aligned intelligences -- and how larger corporations may be even more adept at circumventing the rules.

Whatever their philosophical foundations, our governments are also corporations (and so will be any new trans-national organization). They are fragmented into smaller groups with their own instrumental goals, and subject to the same risks of corruption that afflict private corporations, and the same risks of runaway optimization that may afflict AI. Appealing to them as a higher authority is at best a case of "the devil you know".

Doomism always has a non-falsifiable counterargument: AI is new and might become arbitrarily more powerful than the most powerful organizations we've ever created ("super"-intelligence). For me this fails on several counts: we are still exploring the limits of power (and of corruption) that large organizations can achieve, progress in AI remains observable as long as it is public, and our primary experience with AI has been colonizing a frontier of capabilities rather than a sequence of new systems dominating at every task.

To be clear, I do NOT personally conclude that we should avoid all regulation and oversight. But I think that constructing regulation around doomist theories serves disproportionately towards regulatory capture, and acts as a distraction from immediate issues of algorithmic inequality, disruption of political speech, and intentional weaponization of AI.

Our most crucial long-term defense against most of these risks is a deep detente, where the tools to understand and develop AI remain broadly available, so that no one group feels it has an unbeatable advantage in the powers afforded by AI. This is what the open-source community is currently providing. Locking down public research in AI in order to prevent superintelligence would have massive unintended consequences.
I think you're being bit disingenuous, but I understand why you might be skeptical about carbon taxes. Unlike those scams, this is one of the more simple and straightforward policy recommendations.

A carbon tax essentially charges a fee on greenhouse gas emissions, aiming to account for their environmental impact—an externality not usually priced into the cost of fossil fuels.

The concept of a carbon tax has been considered for well over a decade.[0] While it might be a suitcase term on its own – different people interpret the phrase differently – the overall concept has been studied, has a lot support and popularity from economists.[1][0]

Several strategies exist to implement a carbon tax, but a widely favored method is a market-based, "revenue-neutral" approach. Here, the funds raised from the tax are redistributed (through various means, not necessarily something like UBI) to offset any financial burden on consumers or businesses.[2]

As far as my understanding goes, a carbon tax is simpler to put into practice—and explain—compared to other alternatives like specific environmental regulations or cap-and-trade carbon pricing schemes.[3]

[0] https://www.kentclarkcenter.org/surveys/carbon-taxes-ii/
[1] https://www.econstatement.org/
[2] https://www.americanactionforum.org/research/comparing-effec...
[3] https://www.mdpi.com/2071-1050/12/20/8680/pdf
It is already being used in commercial work. I know this from being in the industry, but I was also served an AI generated advertisement from a real company on YouTube today so it's in the wild too. It was a human talking about the product, you could tell it was AI by the way it reset it's face to the same position every sentence, and the stilted speaking. But it was honestly quite shocking, I could see someone not knowledgeable in tech being a bit weirded out but still convinced it was just a weird actor.

It will be in a lot of advertising really quickly, advertising uses a lot of image and footage fodder for lack of a nicer way to put it. "Lady walking with smile" slap the brand assets on it, hide the AI hands, done.
> no unhandled runtime errors! (yes it is true, no more errors with Elm)

I used to work with elm some years ago and my coworkers claimed this as part of their reasoning for choosing elm. Shockingly, we still had runtime errors! Elm helps reduce some type system based runtime errors. But that’s only a subset of exceptions, and it’s not perfect at even catching those. Try this in elm:

div [ attribute "@style" "color: green" ]

It’ll compile just fine. And crash completely at runtime.
Russian businesses want to party like it's 1959 with 6-day workweek
It’s not a matter of “being emotional”, but rather of emotional awareness and regulation, which people in general, and teenagers in particular, are sometimes not the best at.

There are broadly two solutions (to that, not premeditated crimes): Help people to get better at that, and/or minimize situations where actions carried out in a moment can have terrible outcomes.

Sometimes, one will be much more effective or feasible than the other; often a combination can work.
You know, democracy pre-dates photographic and video production altogether, and previously, all that was needed to create a false story was a block of text sent over a telegraph or a handwritten note.
Google famously discontinued Google Reader despite it having tens of millions of users because it represented a minuscule contribution to their bottom line.

Apple isn't a software company, it's a phone company. Everything that isn't an iPhone represents a minuscule contribution to their bottom line. Apple doesn't give a shit about pro users, even if it's profitable, because they're too big to care.
Re Capita breach. What are the chances of successful class action lawsuit?
... and as soon as it started losing money Google could cancel it (Uber has never made a profit - https://fourweekmba.com/is-uber-profitable/ ).

... and the government would (again) look into Google using anticompetitive tools to expand its market reach and stifle other companies in the area.

... having a "use Google/Waymo ride hailing" only in a few cities would lose a significant part of the network effect that Uber has (you can likely use Uber in any city - not just a limited few).
Where do you get the Huawei number from?
Intel abandons XPU plan to cram CPU, GPU, memory into one package
If it is hurting one human, it is not "rogue AI" then. It is "mean AI"? Pff.

Asimov wrote first law of robotics in 1942: "A robot may not injure a human being or, through inaction, allow a human being to come to harm.". Why not start from here?
Tupperware is an example of very durable and safe plastic.
Yeah, same here - I've used the cheapest pans it was possible to buy when I was a student, on the worst ceramic stove it was viable for my university accommodation to provide. For something like this where precise responsive heat control is unnecessary anything is OK.

(Making actual caramel, OTOH, that's far easier on gas or induction.)
Yeah I also think he has some form of OCD. Regardless, I think someone trying what he’s trying is a positive for humanity. Learnings about the human body could pop out
give me 3 good software developers and I can give you an Uber app maybe in 3-6 months? but what I can't give you is uber app being on every iPhone in the country.
Show HN: [Embedditor] - the Open-source Microsoft Word for Vector Embeddings
I'd say it doesn't have to be binary. Corporations are evolving to use less and less human labor. That doesn't need to be 0 for very bad outcomes for society and the human species. the stock market is already a paperclip optimizer. Most wealthy spend the bulk of their wealth in service of more paperclips plus maybe a guilt tax.
I'm sure its been done (I'm guessing many times) but my thought would be to have a free service that auto watermarks all images with the image hosts domain name and upsell a paid account that doesn't watermark images. If you get 0.01% paid and keep costs low by shopping around for CDNs I think it could be a good "lifestyle" business as long as you had some kind of auto moderation system.
So many excellent plots for a great sci fi series here. Who is writing the newest ones? No references pre ChatGPT please; I want the (human) author who is taking these latest concepts, capabilities and fears and turning them into a better Ex Machina. Maybe it's still too new, novels take a while, etc but someone has to be working on it...
I dated an editor for a travel writer for a well known travel book company. He'd update his old books to include his 'visits' to new places, sourcing the content from other publications without actually going there.
Doesn't SET TRANSACTION ISOLATION LEVEL READ UNCOMMITTED do that? Or maybe a NOLOCK hint equivalent in MySQL?
This is the second divestiture of an acquisition in two weeks by Meta.

Last week they spun out Kustomer https://www.kustomer.com/blog/new-chapter-standalone-company...
Do you have any thoughts on the ROLI?
Yep - you don't want to just let the whole thing sit, but certain parts of a meal are better done over time (for example, I've heard the best pizza is where the dough is made the day before, but the pizza itself is made fresh).
Yes, Google can copy Uber, but can they make it successful?
Uber has a lot of users and drivers, and Google has to convince them to use their app instead of Uber or one of the other existing apps in this space.

Getting into a new market didn’t work for videos so they bought YouTube, it didn’t work for their social network, and it didn’t work for a ton of other cancelled projects.
Venus is not Earth’s closest neighbor
Social media does sound like a decent theory though. To your point, the issues plaguing the US ( and indeed the world ) have not changed that much over the past four decades. What did change is relative access to information, which exacerbated and maybe even hastened some trends. The small factors were always there, but were not as commonly seen for a variety of reasons ( social stigma, exposure to media, 'toughen up' message from society being but a few examples off the top of my ehad ). And even now, we only are aware of it as a potential trend due to social media exposure ( in this case, HN ). Would we be as aware of it even 10 years ago?
somethings clearly in the wrong.

saying as someone who went to a semi-private school run by nuns where pupils would get written up for running.
The problem with city building games is that they are far too gamified. In reality construction takes years, even decades for many infrastructure projects. Because of that, the challenge of solving the problems of 25 years in the future is not well represented in many such games.
There are a lot of cases where a pub wants a graphic or image (perhaps depending on the pub's style), just about any graphic or image. Yes, for example, people are probably more likely to click on a social media link with an image.
The contrarian HN view is below.

432 comments | 3-years ago

https://news.ycombinator.com/item?id=22821447
Discussed here https://news.ycombinator.com/item?id=36043327
Soon, you'll choose who the bot impersonates to review your code.
The internet does have well written and tested recipes, you just have to find the people who are writing them. Mostly word of mouth because search has been dominated by content farm SEO spam.

As an example, my first stop for instant pot recipes is Amy + Jacky and they’ve yet to steer me wrong: https://www.pressurecookrecipes.com/instant-pot-cheesecake-n...
Google owns a bit over 5% of Uber at 70B and a very high percentage of waymo at 30B evaluation. (last measured) so incentive is for Waymo to succeed / grow.

It seems counter intuitive to me that they do a strategic partnership with Uber given low switching cost of using another app if it had meaningful cost benefits to the consumer. Additional Google owns the Android platform so could leverage that to it's advantages as well.

But Uber is already in a world of low margins marketplace matching. The deal is likely highly favorable to Google in that it need only compete with the the humans so can start to recover some of it's investment without having to directly compete on a platform basis which would be expensive per city high density rollout.

Google won't have the same driver density as Uber for a long time and for an app to be your go to ride system it had to always be fast to get a ride.

For high utilization on Google side also benefits being part of Uber platform of on tap riders.

All said, the existence of Lyft and numerous other transportation apps globally impacts the value Uber can extract. More autonomous vehicles will quickly follow Waymo and an integrated network will dominate at some point. Just like Amazon using its own delivery infra once it reached a certain scale.

I don't see this being a long term relationship. Once a given density is reached Google can leverage Android / Google maps / cost competition to push people over and why would Google / Waymo continue to pay Uber market place margin on "it's phone platform". Google will be leveraging said platform to compete with integrated networks like Tesla, Amazon zoomx, cruise, wherever apple lands and others globally.
You say the answer is simple, but I can't tell what your answer is.

The first half of your comment implies that Uber has a really bad negotiating position, so Waymo must be extracting most of the value.

The second half says that Alphabet (the majority owner of Waymo) will "partner with literally anyone" which would presumably mean Uber is extracting most of the value.

So which is it?
"Dithering Heights" was the name of the ColorSync team's lab at Apple in the 1990's.

Conference rooms and lab rooms often had amusing names — as I am sure is true at other companies besides Apple. "Rock" and "Hard Place" were two neighboring conference rooms.

Another floor as I recall had conference rooms named with oxymorons, "Military Intelligence", "Jumbo Shrimp" and — was it "Lawrence Expressway"? — something funny to Bay Area residents anyway.
They also can't be profitable with autonomous vehicles either.
It goes the other way, too. Waymo has always been only "a few years away" from getting to autonomous driving.
We are thrilled to open source Embedditor today.

Embedditor is the open-source MS Word equivalent for embeddings that helps you get the most out of your vector search, while saving up to 30% on vectorisation and storage.

This solution is inspired by the experiences of over 30,000 IngestAI users. Our insights revealed a common bottleneck in AI and LLM-related applications, one that goes beyond LLM hallucinations or token limits, which are far easier to resolve. The prevailing issue lies in the GIGO (garbage in, garbage out) principle. With no one-size-fits-all approach to chunking and embedding, certain models excel with individual sentences, while others thrive on chunks of 250 to 500 tokens. Blindly splitting chunks by the quantity of characters or tokens, and embedding content without normalization and with up to 40% of redundant noise (such as punctuations, stop-words, and low-relevance frequent terms) often leads to suboptimal vector search results and low-performing LLM-related applications using semantic or generative search. The issue was consisting in trying to enhance vector search using existing technologies, which proved to be as challenging for our users, as creating an outstanding document using a basic .txt format. We decided to address the root problem, so we developed Embedditor - the Microsoft Word equivalent for embedding pre-processing, enabling with no background in data science or technical skills to improve performance of their vector search capabilities while saving up to 40% on embedding and storage. We've made Embedditor open-source and accessible to all because we genuinely believe that by improving vector search performance and boosting cost-efficiency simultaneously, Embedditor may have significant impact on current NLP and LLM industry.

Hope you loved it. and we would love to hear your usecases & feedbacks.
It's not like Waymo/Uber can roll in with autonomous taxis in every city just because Uber figured out the local regulation - many cities would have explicit regulation for anything driverless. I think it's the later point - they want to stay in the shadows until they are super confident. I wonder what will happen to Uber eventually though.

It'll be interesting if Cruise ends up partnering with/acquiring Lyft. Although Cruise seem to be still betting on their Origin vehicle.
Yes; and the amount of training examples that are really long (relative to the other training examples) becomes small really fast, so it's also a problem of the long-tail in a sense.
> But books are not, overall, that much better! Whatever testing was done was often done ad hoc or in professional kitchens, or on a much larger batch that was arithmetically scaled down to home sizes. This often works fine but not always, and usually needs some tweaking. It tends to be especially true of cookbooks affiliated with a well known restaurant or chef, but certainly not limited to that.

When the pandemic lockdowns hit and the Bon Appetit test kitchen people all started filming from their home kitchens there was a marked shift in what they cooked and how over time. One of the things Carla Music noted was that having to do her own dishes completely changed her approach to designing recipes because she realized how much of a hassle it is to be pulling out all kinds of specialized pots and pans and multiple spoons and such.
Why is it bad to go through metal detectors to go to school?

I go through a metal detector when I go into work.

I go through a metal detector when I enter a courthouse.

I go through a metal detector when I go into the Capitol.

None of these things detracts from the gravitas of those places, and none of them makes any of those places feel less safe.

Especially when the alternatives include impinging on fundamental rights or forcing kids to go through sometimes horrifying active shooter drills, I have a hard time understanding the objection to metal detectors.
I'd say 80% of my gifs are either from The Office US or Anchorman, so you could be right!
Somehow it seems like "paid" is the wrong word when you're forced by a court to do it. Almost like stealing a car and then claiming you "donated" it to the true owner upon arrest.
Curtis Yarvin: There Is No Artificial Intelligence
Their KYC is actually pretty strict. They have a separate entity for US customers, which I assume doesn't violate US sanctions.
I think there was a point where the default was microservices+massive cloud infrastructure and it was a massive disservice to everyone. Everyone 'built to scale' and it's also easy to assume your next project will service a few thousand requests per second eventually and you'd love to just change the replica count in k8 instead of take the day to spin up some new machines and balance them when that time comes.
WebAssembly is eating the database?
I toggle back and forth. Sometimes I'm really terse.
Well put, "time in market" is a thing when going against a habit so entrenched as search is.
Same. Every time we tried to call taxis pre-rideshare apps, we always got a "between 30 minutes and 2 hours" estimate if they ever showed up at all. Their CC machine was always conveniently broken unless you didn't have cash and the ATM was real far away. Good riddance.
Anybody can sue anyone for anything. I could sue Rockstar for not having enough nudity in GTA; that does not imply guilt or lawbreaking on their part.

The suit you mentioned was settled out of court for a tiny amount, basically nuisance value, with no finding or admission of wrongdoing.
There's no research whatsoever connecting CO2 to increase in variance. This is pure speculation.
FTX also spent the customer money on themselves.
For me there’s never enough sauce, glaze, topper, what-have-you called out for the dish. I consistently have to 2-4x the volume just to serve the meal appropriately. Occasionally the recipe ratios are so off that the entree would burn without more liquid.
Sure. It’s still small.
well, be careful with "more capable" - the universal approximation theorem shows that a NN with one hidden layer is able to represent any function (in the limit of how wide that layer is, at least). So there's nothing fundamental about "more capable" or "less capable." It's only about which representations are easy to train and which aren't.