skysight-inc/HackerNews huggingface dataset:
He says "In doing so, we should not demonize Trump voters" because we will need them to fight Trump's ideologies.

I've tried that, not demonizing trump voters. They won't be on your side because you were kind to them. They will demonize you and join the side that they consider the strongest position.
Sam Altman bought some of GPT's training data from a Chinese army cyber group.

1. Sam Altman was removed from OpenAI due to his ties to a Chinese cyber army group.

2.OpenAI had been using data from D2 to train its AI models.

3. The Chinese government raised concerns about this arrangement with the Biden administration.

4. The NSA launched an investigation, which confirmed OpenAI's use of D2 data.

5. Satya Nadella ordered Altman's removal after being informed of the findings.

6. Altman refused to disclose this information to the OpenAI board.

Source: https://www.teamblind.com/post/I-know-why-Sam-Altman-was-fir...

I guess Sam then hired top NSA guy to buy favor with the natsec community.

I wonder who protects Sam up top and why aren't they protecting Zuck? Is Sam just better at bribes and manipulation?
I think the problem with that approach, in today's market, comes when you try to hire.

Junior engineers didn't cost more than any other recent graduate, and as you could get away with a few rough edges in production for quite a while, you could put together an adequately balanced team for not much money.

The tooling was much worse, but the compliance burden was much less.

Did your friends in the .com era talk about "doing a startup" or "starting a business"? I feel like that's changed a bit, people are more calculated and cynical about how the game is to be played with respect to rounds, exit strategies and so on. The "startup" model specifically means something a bit different to "starting a business", around ambition, scale, investment model etc. All businesses need to be started, but not all businesses are startups.
I use ChatGPT a lot each day for writing and organizing tasks, and summaries/explanations of articles etc.

When dealing with topics I'm familiar with, I've found the hallucinations have dropped substantially in the last few years from GPT2 to GPT3 to GPT4 to 4o, especially when web search is incorporated.

LLMs perform best in this regard when working with existing text that you've fed them (whether via web search or uploaded text/documents). So if you paste the text of a study to start the conversation, it's a pretty safe bet you'll be fine.

If you don't have web search turned on, I'd still avoid treating the chat as a search engine though, because 4o will still get little details wrong here and there, especially for newer or more niche topics that wouldn't be as well-represented in the training data.
I can only talk for myself, but I wouldn't be surprised if others would be similar.

I don't use star as a reward for the developer, but rather as a bookmark.

I star a repository in case I have to do something with the code (or repository) itself: when I modify the code (either to scratch my own itch with a bugfix/missing feature, or to also upstream it), when I need to check the code itself for something, or when I create issues, either to ask for help due to missing documentation, or report a bug. (+1: neodrama repo is also starred, as it brings the nasty-tasty dev dramas. But it's more like a blog, in repo form)

In case a software just works as it should, and I don't have to mess with the code deeply, then I don't star - I see no reason to do so.
Show HN: LLM Connections
> Researchers cannot yet say why healthy eating and food satisfaction have been on the decline, but enjoying your food is key to other aspects of good, happy living, Dugan said.

I mean, I'm not an expert, but maybe it has something to do with everything affordable being over-processed garbage.
Sorry, my mistake. It's all shares, I don't know why I said stocks/options.

But it's all shares. First from being early in a marketing startup that recently closed, second from being one of the first engineers of an event ticket marketplace that's holding on for dear life, third from a tourism unicorn that paid half my salary with instant-vesting shares during Covid.
Haha excellent! Thank you!
Eric Schmidt's family office invests AI startups
I'm aware of the link, but people don't have Signal, everyone has WhatsApp.

In the UK at least, a recent ofcom ( Communications regulator ) report suggested that 76% of people reported using WhatsApp in the previous 3 months.

This is close enough to the 83% of people who reported making a phone call in the past 3 months that you can consider "everyone" to have WhatsApp in the same way you'd consider everyone can make phone calls. Yes, there are notable exceptions you may have to accommodate for or be prepared for if necessary, but you can by default assume everyone has it on their phone.

If OP's objection is to Meta, then of course don't use WhatsApp. But if the objection is Facebook as a platform then a message group may be suitable.

[1] https://www.ofcom.org.uk/internet-based-services/technology/...
It depends on the investors. Sometimes they will insist on bringing in their own people who will skip ahead. This can happen if bigger investors are brought on late or if the business is not developing according to plan and equity has to be sold.
Right, I didn't want to get into it but definitely using 'ret' "properly" has big performance benefits. My point was just that it won't prevent your code from running, it's not like x86 will trigger an exception if they don't match up.
Kitsune (Google VEO2 generated film) [video]
>The abstract does not define, nor contextually suggest from the prior statements of the results what "metacognitive laziness" means.

Your comment seems like a good example of metacognitive laziness: not bothering to formulate your own definition from the examples in the abstract and the meaning of the words themselves. Slothful about the the process of thinking for yourself.
X.25 celebrates the protocol in this decade, the connector will be celebrated in 10 years with V.35
Isn’t that a bit of a special case because you know your cereal and you know your bowls? What about some cooked foods like meats which can vary in density and shape when raw, and also vary even further due to inconsistency in cooking, with more or less moisture cooked off?

It’s possible to calibrate your estimates, but if you haven’t done that, it’s probably safe to assume you’re not particularly accurate.
In our hotel photo database, we have everything: rooms, lobbies, bathrooms, pools, exterior shots of buildings, etc.

I trained an AI to recognize ergonomic chairs, but sometimes there were errors. For example, a chair in a hotel's SPA was always identified as an ergonomic chair. That's why we manually reviewed all 50k photos to verify them.
Is short term stability, really stability? I think it's pretty rare to get post-doc contracts longer than 3 years, renewal after that is unlikely especially for a long period of time. You can't really be a post-doc long term and it can easily have you bouncing across the country/countries following funding. It's more stable than freelancing perhaps or maybe a startup.

There's stability in academia as tenured professor but outside that, there really isn't.
There is no profession that would require you to estimate portion sizes up to grams visually. So, trained professional will be someone who was trained in something different - a doctor for example.

I guess, maybe cooks should have the best precision for this.
At Bitesnap we were surprised at how much interest there was from researchers to use our app for diet tracking. It turns out giving people a piece of paper to write “grilled cheese sandwich for lunch” is not a scalable and reliable way to collect research quality data.

We even worked with USDA on putting together a food logging dataset: https://agdatacommons.nal.usda.gov/articles/dataset/SNAPMe_A...
> E.g. one type of paper claims to use Ascorbic Acid (vitamin C). No idea what else is in it of course, but it's not a BGA-analogue plasticizer.

How would you know it doesn't, if you don't know what's in it?

Regardless, my point is that many BPA-analogue containing products advertise their BPA-free status.
Under the hood, in both Java and C# the first argument of an instance method is the instance reference itself. After all, instance methods imply you have an instance to work with. Having to write 'this' by hand for such is how OOP was done before OOP languages became a thing.

I agree that adopting yet another pattern like this would be on brand for Go since it prizes taking its opinionated way of going about everything in a vintage kind of way over being practical and convenient.
Do they ban our apps? How come all of Apple's and Microsoft's apps can work there?
It's really hard (emotionally or motivationally) to undereat, which is what you need to do consistently for a long time to lose weight.

Aside from the hunger issue, food is enmeshed in all sorts of value having nothing to do with nutritional value per se and everything to do with sociopsychological value.

I think I've massively underestimated that in my own life, or misunderstood what that meant or something. I think the way it plays out is much more pervasive and subtle than what people realize. I'm not even saying it's wrong, it's just hard to suddenly deprive yourself of something that is meaningfully rewarding, and especially so when you're unaware of it consciously.
The activitypub based pixelfed servers are open source and give an Instagram like experience. And there is the advantage that it can federate with outside fediverse feeds too
As someone who just lost 35 pounds through clean dieting:

All calorie/portion numbers on packaged food are off by 10-20%. I set MyFitnessTracker to 1.5k calories (deficit for my build) and for weeks nothing would budge - even with strict portion control and weighing everything, plus 800 extra cals spent through exercise.

Once I went to "1250" calories, I started losing weight. Went from to 205 to 175 pounds.

With packaged food I mean anything like cream cheese, various sides, etc. - not pre-built meals (I assume those would be off by 50%).

What weighing your food really does, is reveal how shockingly little you actually should be eating. I switched to small plates for all meals, as using the normal large ones was pointless and slightly de-motivating.

But yeah, it's just calories. No matter what you eat.
Seagate smashes largest HDD world record with 36TB hard drive
No if they correlate strongly: people eating more vegetables are more likely to do sport, and care about sleeping. Not to mention visiting a doctor much often. That is just one example.
While I was looking for how to swap out the backend to self-hosted, I noticed that analytics is hardcoded to true. Something to be aware of.

Found this the other day on GitHub and have been meaning to try it out. Guess I'll be setting up the backend and modifying the hardcoded config in the extension.
> main features:
> Multi-granular tree-based protection scheme

that will drain users from Facebook instantly! i can already see the flood of people coming. /s
As a temporary workaround, I found this script. It is obviously not an ideal solution : https://github.com/mjmirza/Download-VSIX-From-Visual-Studio-...
Apparently I was being a little too subtle. I meant starving for free trade relationships and participation in a larger economic bloc, not literally starving from lack of food. The point is that UK will have to join up with someone else eventually; they lack the scale to go it alone.
> For me, the main issue is that every time I voice the idea about building something I get bombarded with premature growth and commercialization concerns instead of excitement about how to solve the problem. I think this is endemic - the entire sector is short sighted and profit obsessed.

I think this is in part a market correction. Whether it's over correction, I guess we'll have to wait and see.

There's been a lot of really bad startups making a big splash, often without any experience or knowledge of the field they were trying to disrupt (so they don't actually know what the problems really are, or what was really needed), and with far too vague hand wavey ideas on how they'll actually reach sustainability.

There's been far too much of engineering being a hammer, and seeing every problem is a nail
Thanks for your response! What specifically is challenging from a DX POV?

Lol, yes, upside is Stripe buys.

How do you currently workaround this today and what starter repos have you been exploring?
I see the reason for the middle man is to:

1. develop the platform

2. set standards for what “delivery” is

3. be liable for orders not delivered, or orders fraudulently placed

With a P2P app, wouldn’t you be engaging with a courier directly? That would mean that any problems would have to be taken up with the courier, I would think. It makes sense for restaurants to engage directly with couriers because they may have enough volume and repeat business that they can vet the couriers. But it does not make sense to me for individuals to engage with couriers directly, not for small-value items like meals.
Show HN: Fume (YC W24) – bot to test all of your pull requests
Hi HN! We are building an AI agent that can use a computer for software tasks. You can have it review and manually test all your pull requests. Here is a demo video of how it works: https://www.loom.com/share/71135bb2ef784ff593940fbe6fb42c4c?...

We realized the current technology is not yet capable of automating non-trivial software tickets reliably but is pretty good at manual testing code changes for bugs. On the other hand, we knew tools like CodeRabbit got interest from developers yet could only point out obvious bugs or style nits as they are limited by ‘reading’ the code.

Fume can use its own computer. If you’ve made UI changes, it can spin up a browser and click through edge cases. If you’ve made more functional changes, it can write and run test scripts to ensure there are no bugs.

We are language/framework agnostic. The setup is pretty easy. You just install a Github app and set up Fume’s computer (once) like you would set up your local environment.

We’re thinking of adding integrations like PostHog to give Fume more context around using your complex app. We’d love to hear your feature requests too!

We have a 30-day free trial (no CC): https://fumedev.com - please do tell us what you think!
I just don’t get your angle. My point was that the human is the one who has some freedoms and the one who bears responsibility. If you read a bunch of books in a book store without buying them and use your imperfect memory of them to do your job better and get paid more, it is shady but if you are not shooed away by store owner you have the freedom to do it. No one can extract the books you already read from your brain, and you did not sign an NDA. But if you set up an industrial scale book scanner in the same store, the boss will call the police on you and you cannot point fingers and say the scanner “reads” books and incorporates them into its worldview just like you would do. Because scanner is not human and you are, so you’re the one responsible for operating the scanner.

I see no difference with cryptotokens here, the human has freedoms to do things and the human is responsible for them if those things are bad. (Just unlike LLMs, theft of property and all that is kinda always a crime, unlike reading a book in a shop without buying.)
Yes you are right, limit does not matter as our academia doesn't have money to use all Tier II limit (I think not even quarter of it).

Private sector is not going to make AI data center or research center in PL because power grid is one step from collapse and nuclear power plants are "planned" but I don't believe we will have one in 10 years.

So my comment is more of a playful kickback on parent speculating about ties with China - I can put my own speculation as well.
> For whatever your metabolism, and whatever your category of calories, fewer calories will still produce weight loss.

I thought that wasn't true, that the human body stores and burns calories at varying rates based on many signals, and that our bodies or some bodies effectively conserve weight or caloric stores at a certain level.
>use break() to exit the loop

Well - they know that break is not a function and you don't. Thanks ChatGPT.
There will always be more to find out, but there are a ton of counter-examples to your claims. Engineering related to radio was huge in the 1920s and 1930s and is... not today. A lot of key problems got solved and the focus turned to other industries and other problems.

The world will continue to have interesting problems. Whether those will have much intersection with writing software is less certain.
The results could be interesting...

Mom? Are you cooking crystal meth at home, what is all this for? And why did you bought 500 boxes of condoms?
There are two aspects to this from my pov. And I think it might be controversial.

When i have a question about any topic, and I ask Chatgpt, i usually chat about more things, coming up with questions based on the answer, and mostly stupid questions. I feel like I am taking in the information, analyzing, and then diving deeper because I am curious. This is based on how I learn about stuff. I know i need to check a few things, and that it's not fully accurate, but the conversation flows in a direction I like.

compared this to researching on the internet, there are some good aspects, but more often than not, I end up reading an opinionated post by someone (no matter the topic, if you go deep enough, you will land on an opinionated factual telling). That feels like someone decided what questions are important, what angles we need to look at, and what the conclusion should be. Yes, it is educational, but I am always left with lingering questions.

The difference is curiosity. If people are curious about a topic, they will learn. If not, they are happy with the answer. And that is not laziness. You cannot be curious about everything.
Seems like a result of jab injury.
I have been posting about cutting out the middleman for all sorts of ecosystems. Drivers and Passengers for instance.

For that we need an open decentralized source platform with no profit motive.

That’s what I built: https://intercoin.org/applications

https://qbix.com/communities

But it takes time to make actually compelling alternatives to platforms that have BILLIONS of dollars behind them, a huge network effect already, and if needed, monopoly lock-in where they can say “it’s either us or them” to market participants.
Show HN: I built an Image Embedding API inspired by text-embedding-inference
Having done both for a long time, I have to agree. However, generally, there's more choice as to whose games you want to play with startups. And being a startup with limited resources means there's only so many games that can be played before the noise overwhelms the signal and the company goes under (essentially a self correcting effect).

At big companies with lots of revenue the shenanigans can become fortresses of crazy (cough Google cough) that can go on forever.
A preprint is available on arxiv [0], see the top of page 18 for what metacognitive laziness is:

"In the context of human-AI interaction, we define metacognitive laziness as learners’ dependence on AI assistance, offloading metacognitive load, and less effectively associating responsible metacognitive processes with learning tasks."

And they seem to define, implicitly, “metacognitive load” as the cognitive and metacognitive effort required for learners to regulate their learning processes effectively, particularly when engaging in tasks that demand active self-monitoring, planning, and evaluation.

The analogize metacognitive laziness to cognitive offloading, where we have our tools do the difficult congnitive tasks for us, which robs us of opportunities to develop and ultimately dependent on those tools.

[0]: https://arxiv.org/pdf/2412.09315
'Network effects' make this kind of move quite difficult unless there's a really compelling reason. You'd want to aim to maybe start from scratch with a dedicated group.
I think there are special circumstances where success, while far from assured, is a lot more likely than usual. Apple and Google probably had decent odds. (Where “decent” here means something like 10%.) But they’re really rare, and honestly and correctly evaluating whether you have an opportunity like that is really hard. I think that’s why a lot of people do startups, anyway.
It's ~never just the raw output of a sensor. Even your personal camera isn't much like that tbh. It's just a question of how much processing is done, and with an image like this, the answer is: quite a bit.
Why use ai to feed trash nobody wants to read into a shredder when you can use real people? https://youtu.be/SpNlp6AtTOE
I don’t do this anymore, but when I was, the answers are as follows:

I didn’t make a ton of sauces myself, but if it was then I would round spices down to zero and weigh the main caloric components (think mayo, soy sauce, sugar, oil, tomato paste, etc)

I always weighed the uncooked food, so different cooking times was a non factor.

As for nutrients decreasing, I dealt with this by not believing in it. Seriously though, I was tracking fats, carbs, and proteins which to my knowledge do not meaningfully decay in non negligible amounts.

I lived alone so I didn’t often have to cook for multiple people. When I did I would just make 2 omelets or waffles or whatever and weigh mine.

As far as different species/cultivation methods, I realized there was an absolute edge to my ability to track. For example: bread is often listed at 70 calories per slice, but if you weigh each slice, you’ll find it deviates from what the package considers a “slice” of bread substantially. Further, you’ll often find packages that are inconsistent. For example, you might see a box that claims 14g of a food is 5 calories but the entire 28g container is also listed at 15 calories.
Indeed, for each of the words it got it right.
> Most people in the US have already quit that app

Subjectively, that feels wildly untrue. Do you have any numbers to back this up?
Agreeable LLMs and embedded bias are surely a risk, but I don't think this a helpful frame. Most questions don't have correct answers, so it would follow that you'd want practical answers for those, and correct answers for the remainder.
nice product, congrats!
maybe I would just change the UVP in the repo a bit to understand better why the product is different, besides the open-source part of it.
Not being able to glean information from a paper is wildly different than being unable to use a card catalog. The former is basic reading comprehension; the latter is a technology.

You AREN'T learning what that paper is saying; you're learning parts of what the LLM says is useful.

If you read just theorems, you aren't learning math. You need to read the proof too, and not just a summary of the proof.