skysight-inc/HackerNews huggingface dataset:
> We are supposed to be creating tools with longevity & utility that improve welfare. We are not here to create toys and infotainment for people.

The same can be said for b2b SaaS (which is where I work), and yet...

For some reason we've lost the core concept of what makes a tool good. I think there are a few components (not an exhaustive list):

1. When you are using a tool it disappears. You don't know you're using it.

2. It grows with you and doesn't infantilize you. As you get more skilled it gets more useful, not more limiting.

3. It never changes.

Giving the computer nerds the ability to change and tweak tools while they're in the customer's hand has yielded disastrous consequences. Now everything is a subscription and users are treated like idiots.
So I guess the question is with everything we know today, when and for whom was it a net benefit to go out and get the shot?

E.g. it almost certainly wasn't for kids at any point. For people who'd already had it and recovered, it probably wasn't.

For folks over 65 with comorbidities and no previous exposure, it was probably a solid win to get it.

Would it be a good idea for everyone to go out and get one today?
The fact that every dollar that is printed MUST be paid back to the Federal Reserve Bank with interest means that every dollar printed is worth less than it's face value. This is the original and primary source of inflation. All debt biassed currencies have this, not as a defect, but as a feature. If you own the bank you can do some money magic and get filthy rich. The Federal reserve Over the last 100 years the dollar has lost something like 96% of it's value.

It's old and quite corny but this video gives the cliff notes on how the FED works

https://youtu.be/mII9NZ8MMVM
I've been giving this a lot of thought over the last few months. My personal insight is that "reasoning" is simply the application of a probabilistic reasoning manifold on an input in order to transform it into constrained output that serves the stability or evolution of a system.

This manifold is constructed via learning a decontextualized pattern space on a given set of inputs. Given the inherent probabilistic nature of sampling, true reasoning is expressed in terms of probabilities, not axioms. It may be possible to discover axioms by locating fixed points or attractors on the manifold, but ultimately you're looking at a probabilistic manifold constructed from your input set.

But I don't think you can untie this "reasoning" from your input data. It's possible you will find "meta-reasoning", or similar structures found in any sufficiently advanced reasoning manifold, but these highly decontextualized structures might be entirely useless without proper recontextualization, necessitating that a reasoning manifold is trained on input whose patterns follow learnable underlying rules, if the manifold is to be useful for processing input of that kind.

Decontextualization is learning, decomposing aspects of an input into context-agnostic relationships. But recontextualization is the other half of that, knowing how to take highly abstract, sometimes inexpressible, context-agnostic relationships and transform them into useful analysis in novel domains.

This doesn't mean a well-trained model can't reason about input it hasn't encountered before, just that the input needs to be in some way causally connected to the same laws which governed the input the manifold was trained on.

I'm sure we could create a fully generalized reasoning manifold which could handle anything, but I don't see how we possibly get that without first considering and encountering all possible inputs. But these inputs still have to have some form of constraint governed by laws that must be learned through sampling, otherwise you'd just be training on effectively random data.

The other commenter who suggested simply generating all possible sentences and training on internal consistency should probably consider Gödel's incompleteness theorems, and that internal consistency isn't enough to accurately model and interpret the universe. One could construct a thought experiment about an isolated brain in a jar with effectively unlimited neuronal connections, but no sensory connection to the outside world. It's possible, with enough connections, that the likelihood of the brain conceiving of true events it hasn't actually encountered does increase meaningfully. But the brain still has nothing to validate against, and can't simply assume that because something is internally logically consistent, that it must exist or have existed.
> I am too old for Roblox

Roblox is a gaming platform. Popular among kids, yes, but that's like saying you're too old for Youtube. You can absolutely find a game with like-minded and older players.
Cars that have shorter service lives would probably be best for automotive workers' unions.
DeepSeek used US chips, 'stolen' technology, Trump's commerce secretary says
A friend of mine had a dog (Rover) that was half dingo. Dang, was he smart. But if he was on a rope attached to a tree, and wound around the tree, he could not figure out that he needed to run the other direction to unwind the rope.

When he went on vacation, he asked if I could walk Rover once a day, I said sure. Rover reveled in being the top dog in the neighborhood. One of his favorite methods to assert dominance was hilarious. We'd pass one yard that had a fence made from vertical planks butted against each other. The yard contained one of the beta dogs.

Rover found a knothole at just the right height, put his butt against it, and emptied through the hole into the beta dog's territory.

The beta dog went berserk. Rover literally pranced as we continued his walkies.
He certainly did, note that I'm not arguing for Trump's consistency, moral probity, or respect for the law. What I am doing is clarifying that this is unlikely to become a 1st Amendment fight.
> Except things that were possible without Activities before were cut in favor of activities.

What? I cannot recall anything I noticed myself.
No. Basically everything. It's not even GPL, it's MIT license. See https://news.ycombinator.com/item?id=42768547
I can get non-iodized salt, use a septic tank, not wear shoes, and skip vaccines (and home school) if I so choose to. I can't choose to get unfloridated water from the public system. It's a little odd that a public health intervention has been prescribed to everyone en masse.
Almost all table salt is. Flake or kosher salt has become fashionable for various reasons.

You’ll not see any change for awhile, as the same clowns who are against fluoridation and vaccination also want to enjoy the freedom of a life without iodine.
competition is beneficial for all of us, this is great
The cat is out of the bag. This is the landscape now, r1 was made in a post-o1 world. Now other models can distill r1 and so on.

I don’t buy the argument that distilling from o1 undermines deep seek’s claims around expense at all. Just as open AI used the tools ‘available to them’ to train their models (eg everyone else’ data), r1 is using today’s tools.

Does open AI really have a moral or ethical high ground here?
Charging about as much as their competitors is probably the profit-maximizing strategy.
This sounds like Jung's model which talks about "sensation function" vs "intuition function".
Zero-downtime Postgres upgrades have been kind of normalized, at least in the environments I have been exposed to, with pgcat

https://github.com/postgresml/pgcat
For map stuff like this, I feel like there should be an easier way to submit your service to apple and google and let "arcades" in this case be a new option.
As I mentioned in a sister comment, Gödel's incompleteness theorems also throw a wrench into things, because you will be able to construct logically consistent "truths" that may not actually exist in reality. At which point, your model of reality becomes decreasingly useful.

At the end of the day, all theory must be empirically verified, and contextually useful reasoning simply cannot develop in a vacuum.
This is impressive! I know others are questioning the "no downtime" bit, but that is why service level objectives exist -- because it really depends on the customer experience.

If you managed to have a cutover with no noticeable dip in business metrics (aka the users didn't notice) then I'd call that a no-downtime upgrade!

Very clever on the improvement over Lyft's methods. Thanks for the writeup. Now maybe someone can get it down from 3 seconds of pausing. :)
I know that.

Starlink used to run in Google cloud and appeared as Google Fi on speed test websites.

But this direct to cell product, the customer is T-Mobile and SpaceX is the seller.

T-Mobile has a partnership with Apple. And modifying phones to support these services is part of what is done
As a keyboard enthusiast, I'll add that the commadore Amiga 1000 keyboard contains the fairly uncommon Mitsumi Standard Mechanical Type II tactile switch. The mechanism uses a horizontally placed spring, which gives it a unique feeling, in my opinion, comparable to a nice rubber dome keyboard but with a hard bottom out.

[1] https://deskthority.net/wiki/Mitsumi_standard_mechanical
Final piece of the puzzle will be one LSP to rule them all, unifying all previous work - aka python-analyzer.
Yes sorry perhaps a little more context helps for others that don't understand what we are talking about. Roblox and Fortnite are creative platforms as well as gaming platforms that rival if not excel the older modding tools because they make distribution so easy; good ideas flourish in these spaces.
Lethal Company is a great example of a Roblox game mode(?) that excelled beyond the Roblox boundaries.
I don't have the evidence at hand, but for anyone spending an afternoon in any modern game engine (UE, Unity, Godot) with their built in asset marketplaces and game templates, will see just how many games out there are just asset flips and not worthy of preservation.

Assets and templates don't make a game. Ingenuity does, and folks...the fledgling game designers are using platforms like Roblox and Fortnite as their jumping off point.
> This is obviously extremely silly, because that's exactly how OpenAI got all of its training data

IANAL, but It is worth noting here that DeepSeek has explicitly consented to a license that doesn't allow them to do this. That is a condition of using the Chat GPT and the OpenAI API.

Even if the courts affirm that there's a fair use defence for AI training, DeepSeek may still be in the wrong here, not because of copyright infringement, but because of a breach of contract.

I don't think OpenAI would have much of a problem if you train your model on data scraped from the internet, some of which incidentally ends up being generated by Chat GPT.

Compare this to training AI models on Kindle Books randomly scraped off the internet, versus making a Kindle account, agreeing to the Kindle ToS, buying some books, breaking Amazon's DRM and then training your AI on that. What DeepSeek did is more analogous to the latter than the former.
It has already been calculated: https://en.wikipedia.org/wiki/File:2024_YR4_risk_corridor.pn...
Nvidia (NVDA) generates revenue with hardware, but digs moats with software.

The CUDA moat is widely unappreciated and misunderstood. Dethroning Nvidia demands more than SOTA hardware.

OpenAI, Meta, Google, AWS, AMD, and others have long failed to eliminate the Nvidia tax.

Without diving into the gory details, the simple proof is that billions were spent on inference last year by some of the most sophisticated technology companies in the world.

They had the talent and the incentive to migrate, but didn't.

In particular, OpenAI spent $4 billion, 33% more than on training, yet still ran on NVDA. Google owns leading chips and leading models, and could offer the tech talent to facilitate migrations, yet still cannot cross the CUDA moat and convince many inference customers to switch.

People are desperate to quit their NVDA-tine addiction, but they can't for now.

[Edited to include Google, even though Google owns the chips and the models; h/t @onlyrealcuzzo]
Yes, that's why I said "to be maximally useful" instead of "to be useful"
Well, for one, you have to establish that he is constantly wrong without any reflection on his decisions? Do you have numbers showing how often he is wrong?

For two, if you are punishing people for being willing to put thoughts out there, all you will succeed at is getting fewer people putting thoughts out there.

Your observation here, though, is largely that public figures have public records of failures. You jump from there to the idea that they only have failures. This is as useful as thinking they only have public success. Which is clearly false.
Absolutism (“Every person”, “CCP operated”, etc) isn’t a useful methodology to analyze anything.

Implying that because something isn’t clandestine it can’t be part of a scheme ignores open manipulation which is often economy wide. Playing with exchange rates or electricity subsidies can turn every bit of international trade into part of a scheme.

In the other direction some economic activity is meaningfully different. The billions in LLM R&D is a very tempting target for clandestine activities in a way that a cheap fan design isn’t.

I wouldn’t be surprised if DeepSeak’s results where independent and the CCP was doing clandestine activities to get data from OpenAI. Reality does need to conform to narrative conventions, it can be really odd.
HN's value proposition is high signal-to-noise discussion. Jokes and meme comments work against that.
AIs will inevitably be wired to robots with a reward system akin to ours (punishment!), them for sure, we can stay that they are one of us.

Just having senses doesn't make a difference.
OpenAI o1 and Deepseek r1 have similar performance (o1 is a bit better at reasoning though you can see r1’s though process which you could argue trumps the competition).
OpenAI o1 api cost: $60/million output tokens. Deepseek r1 api cost: $2.19/million output tokens.
> The most promising idea is to use reasoning models to generate data, and then train our non-reasoning models with the reasoning-embedded data.

DeepSeek did precisely this with their LLama fine-tunes. You can try the 70B one here (might have to sign up):
https://groq.com/groqcloud-makes-deepseek-r1-distill-llama-7...
Swedish politicians are so worried about optics that they become paralyzed by indecision. Not only that, political correctness (and to some extent wokeism), is so deep that it is often impossible to talk about certain subjects. It took more than 15 years for Swedish citizens and political parties (excluding SD) to talk about immigration without being labeled as a Nazi or racist. It will take +15 years before any action will taken regarding Sweden's domestic terrorism (it is terrorism).

// Swedish person
Thanks! I need to fix that
> such as drinking water containing more than 1.5 milligrams of fluoride per liter

> The PHS panel that provided the recommendation considered all sources of fluoride intake and recommended 0.7 mg/L as the concentration that maximizes fluoride's oral health benefits while minimizing potential harms, such as dental fluorosis.

1.5mg/L was where effects could possibly start to be detected. That's over twice the recommended concentrations.

https://www.cdc.gov/fluoridation/about/community-water-fluor...

From the NIH source above posted by WorkerBee:

> It is important to note that there were insufficient data to determine if the low fluoride level of 0.7 mg/L currently recommended for U.S. community water supplies has a negative effect on children’s IQ.

https://ntp.niehs.nih.gov/whatwestudy/assessments/noncancer/...
I think that's a bold statement. I'd say the jury is still out on that (especially for pregnant women and babies).

Though I will agree with fluoridated toothpaste. I would rather the govt gives out fluoride toothpaste to people, then force everyone to drink it, which research is still ongoing.
Or offer discounted fluoride toothpaste / mouthwash.

From my understanding, fluoride works best when put directly on teeth (e.g. toothpaste / mouthwash), and doesn't work so well if you drink it.
Nvidia's CEO lays out his vision of what the next 10 years will look like
So keeping an android as a slave will become illegal?
I didn't realize there were some non-stick OSes that you could re-lock the bootloader for. Which ones?
We count downtime if a service is unavailable and drops requests. In this case, since the pause took about 3.5 seconds, we were able to service all requests.
It is easier to think about this in the case of a very large number of doors. It is unlikely that you could have picked the right door from, say, 1B.
What if I told you that we exploit cheap immigrant labor in order to avoid inflation while continuing to print money? It’s an equation.
The irony is this mirror's host is a far-right fediverse instance.

https://www.dailydot.com/debug/poast-hack-leaked-emails-dms/
"Vim mode" in editors like Zed is great and all, but to me, Vim is much more than just a set of shortcuts. What I love about Vim is how seamlessly it integrates with the terminal and shell. I can pipe, redirect, and manipulate text with Bash, use any CLI tool, and move fluidly between my editor and my system. The terminal is insanely fast, works on any computer and OS, scriptable, and gives me access to everything I need.

Zed looks great, and I'm glad it has a Vim mode... but without that deep integration, it's missing what makes Vim truly powerful imo.
Former Eng. Dir for Dart, co-founder of Flutter, here.

I'd like to believe this is a good thing for the Dart project, but only time will tell. My hot take here: https://shorebird.dev/blog/dart-macros/
If you don't believe that subjective experience exists, why do you believe sentience exists?
I would definitely appreciate the Roblox crowd making a play for older gamers, who can also code.
yeah, but we're talking about cars. Do we want to make cars disposable? Should people throw away their car every 12 years when parts are no longer made or the battery dies?
Did OpenAI abide by my service’s terms of service when it ingested my data?
AWS was obviously not going into building datacenters and taking a modern service oriented architecture approach cold. But, as you say, the pervasive myth is that AWS started out by using excess retail computing capacity and presumably the same architecture which, by all accounts, is simply untrue.

And GCP more or less started out as a classic PaaS. Azure really had more of an on-prem focus at first.
Second Chance for a Last Impression (2007)
https://api-docs.deepseek.com/quick_start/pricing
https://platform.openai.com/docs/pricing
Presumably this is counting Atlanta, Miami, and Austin - which were already announced as expansion markets for 2025.

See "coming soon" on the WayMo homepage: https://waymo.com/

That's 9 total.
Yes there are far too many asset flips and game templates that are just sold a individual games.
Nice job, then! Technical downtime that’s virtually undetectable to users is a big win. In fact, “less than 5 seconds of downtime” in the title would actually make me want to read the article more as I tend to be suspicious of “zero downtime” claims for database upgrades, whereas <5s is clearly almost as good as zero and actually quantified :)
Stuff like this is part of why I stick with iPhone. The Pixel 4A stopped receiving security updates just 3 years after release, and rather than being direct about what battery changes were made and providing reasonable pathways for people to replace batteries, this happens.

Apple does stupid and shady stuff too, it is certainly not perfect, but Google has always had a cultural attitude permeating their organization since the beginning that wanted to avoid doing any sort of real customer support, and preferenced boxing customers into something kafkaesque over doing the right thing.

For all the dumb shit Apple has done, I can walk into any Apple Store and talk to a person and get my problem resolved for a nominal fee (if any), their devices get 5+ years of security updates (usually closer to 7 years) and I upgrade before that ends anyway for other reasons (typically about every 4-5 years), in the interim my device "just works". I've effectively never had a problem with an Apple device since I've switched. I was an early adopter of Android, made my own customer ROMs and shared them on XDA Developers Forum, and otherwise was big on Android, but it became really clear to me very quickly that the app ecosystem is a mess (security and otherwise), the core OS has huge privacy and functional design issues, and Google as a steward and a first-party handset manufacturer is not the company you want to do business with.

This really sucks for everyone impacted, and I understand why many many people (including my wife) choose to stay on Android, but you should really give some thought to this. What do you /actually/ do every day with your phone, and what would better serve you? As someone who wants to spend as little time on my phone as possible, and I use it as a tool, that needs to actually work when I need it, and I travel often, iPhone is clearly a more reliable choice.
I should first note that I'm a big fan of waymo and want autonomous to succeed generally.

I take both waymo's and lyft/uber all the time in sf and waymo's are way slower. I'd estimate it at 10-15% slower. Once the novelty of a waymo wears off you realize that they drive like a high anxiety teenager and going 15 mph on a 15 mph road, coming to gentle full stop at every stop sign, and being very tentative on turns and passing people all add up to a very slow ride.

You're right though it definitely feels safer.
Engineering is just means to an end. In most cases the end is: make money.

That typically involves minimizing labor (engineering / R&D) costs. That’s why you see solutions implemented in a quick / scrappy way even though it’s often obvious a better solution exists from the end user perspective… the chosen solution was the best solution for the actual objective: maximize profits.
For anyone who doesn't realise how similar this is to the dotcom bubble, here is a thought experiment.

In 1998, you would have spent 2 years hearing about Altavista and the new search engine paradigm with curated hyperlinks. They are buying lots and lots of Cisco gear to serve their network. You get excited and invest $100B into Altavista and Cisco.

Then all of a sudden, a startup called Google shows up with a cheaper and more efficient way of presenting search, with much less networking equipment.

What do you think happens to the $100B invested with Altavista and Cisco? What do you think happens to OpenAI and Nvidia?
Coincidentally Gorillaz just posted a new clip video to their YouTube titled Nostalgiaz:

https://youtu.be/KQBlt1sfUhY?si=2WeBcrrQ1zDxZPi0
This whole idea sounds like total nonsense: If you think identifying and turning all questions like "some race was arrested, was the race likely to be guilty" into always answering "not enough information" then the whole model is just now biased into never having enough information to answer anything.

There needs to be an entire other layer of back and forth digging for the right questions and answers.. or something not invented yet.. not just removing all ability to speculate
I believe https://en.wikipedia.org/wiki/G%C3%B6del%27s_incompleteness_... (Gödel's incompleteness theorems) applies here
The source code is likely not even terribly useful, for a game that was never released. What this is talking about are the assets (sounds, 3D models, textures, etc) which could still be quite useful.

And that's why they don't just give them away (unless it's a very small studio/individual effort). Many "how it was made" histories of games describe how they used assets developed for a previous game or otherwise not used.
Related:

White House AI Czar Sacks Says 'Evidence' DeepSeek Leaned on OpenAI's Models

https://news.ycombinator.com/item?id=42860888
https://archive.ph/OqsAv
GrapheneOS and CalyxOS are the only ones I'm aware of! It requires OS support and the phone to support it too, so it's a rare combo.