skysight-inc/HackerNews huggingface dataset:
While you’re both scientifically and pragmatically wrong that it’s “calories in, calories out”

More concerning than that is your belief that you are accurate and could never be wrong. That folks with obesity are simply tarnished with an inability to have self control.

You couldn’t be more incorrect. Furthermore, the fact you think an epidemic and issue that affects millions could be summed down into four words… well it’s troubling.

The larger the problem, the more difficult the cause and more evasive the solution.

Another commenter accurately pointed it out. Your prejudice is blinding you.
Semantics, dogfight with the missile then :)
Ask HN: Feedback on My Landing Page
Hi all,

Just released some updates to my landing page. The interactive demo at the bottom is a pain to implement so just wanted to get some feedback to see if it was worth finishing. Any other suggestions and feedback is much appreciated.

Link - https://devcommerce.co.uk/

Thanks
The benheck forums are the reason I work in tech. It was a great community. A lot of the people working on these projects today are former members. The most notable was Palmer Luckey who went on to found Oculus.
A lot of people lament the death of community run dedicated servers, but I'm with you here. I don't miss trying to find a good deathmatch UT04 server that wasn't either super high ping, loaded to the hilt with obnoxious mods, or stuck running Rankin 24/7, only to give up after 40 minutes.
Battery storage was biggest source of supply in evening peak in California grid
Most of the employees are not working on ads though.
Does it support function/tool calling ?
Has anyone prepared a comparison to Mixtral 8x22B? (Life sure moves fast.)
The bigger size is probably from the bigger vocabulary in the tokenizer. But most people are running this model quantized at least to 8 bits, and still reasonably down to 3-4 bpw.
What disturbs me about these types of protests is that the people involved forget that working for a company is a two-way street. An employee has no more the right or place to dictate to an employer what it can do, as an employer can dictate what its employees do. That's because in America at least, you can leave, you can work some place else. The employer can choose not to work with someone. Protesting employees seem to think they have this pedestal of social justice which gives them some authority over how a company can act.

If you don't like it, leave, and when the company can no longer find employees they will change or go out of business.
EU actually has the opposite of draconian privacy laws. It's more that meta doesn't have a business model if they don't intrude on your privacy
Excellent book.
I showed my wife (who teaches people to ride horses) some photos of a woman in China with a horse and her comment was "Why is the halter twisted?"

I went to an MLS game with someone who had been a soccer ref and he pointed out that the line on the side of the field wasn't perfectly straight.
> I'm drowning in offers from banks begging to refinance my home, but I got a ridiculously low rate during COVID and I refuse

And this is why decreasing interest rates will only raise housing prices EVEN higher.

There's too much demand but not enough supply.

And we don't physically have enough to build houses, nor the ability to bring guest workers to build for us due to USCIS incompetence.
Two things can each be one of evolution's cleverest inventions
Religions are a product of (cultural) evolution by natural selection. Nothing supernatural about religion ;-)
Rolling out on Whatsapp on US makes little sense, given that the Whatsapp user base is outside US.
Unless you have the privilege of being an enterprise customer with an SLA guaranteeing privacy, there's not much you can do other than using local models. I believe OpenAI says they don't train based on API requests but that's more of a "trust me bro" than any kind of guarantee.
I have had tons of fun with Halo, but I am fixated on this “innovative” classification. It feels more like right place right time. Had Golden Eye been LAN play, would it have been termed as most innovative?

Edit: I should also give a shout out to Tribes for hitting a lot of those same notes
Yes, we should probably keep the discussion in one place, so I've downweighted the OP now. Sorry ot!
Great question. The approach I've always taken (now that I'm past my prime) is to just show up. If I train 15 minutes and call it a day, at least I was active and sustained the habit of being active. If I train for a couple hours, that's great too. What I try very, very hard to avoid is doing nothing.

I suspect I get the majority of the gains from the first 20 minutes or so. And since I'm no longer training to compete at a high level, I don't need to eek out as much from my training as possible...but I have no data to back that up.
Try making a living as an indie developer and then bitch about pricing.

As others have noted, the up-front honesty and realistic pricing are a lot more refreshing and encouraging than some race-to-the-bottom pricing that guarantees the dev is not paying attention or is going to be forced to find other ways to feed their family.

If you aren’t prepared to compensate someone for the value they’ve created that’s fair, but claiming it’s somehow their fault is not being honest.
A24 Under Fire for Seemingly AI Generated Civil War Ads
Use lots of photovoltaic power (light) to sequester CO2 and H2O and jam it together into more complex carbon compounds? If trees can do it, we can at least approximate it (trees come from the air, not the ground).
> but at what point to employers relvolt?

They won't. Sure it's expensive, but it gives them control over employees. Losing benefits is a fear for a lot of people. Gaining benefits is a badge of honor for some people.

No, employers like it this way.
See also https://ai.meta.com/blog/meta-llama-3/

and https://about.fb.com/news/2024/04/meta-ai-assistant-built-wi...

edit: and https://twitter.com/karpathy/status/1781028605709234613
That's also factually what you're trying to do right now, and what I'm trying to do back at you, but maybe we should call it "communicating" in this instance. Because brainwashing has a lot of connotations. That don't apply. You see.
Plus these tools get better faster when more people use them. It's a win-win.
That isn't the question (in a prior job I studied the physiology of the nail unit). Most cells don't normally have an orientation, so you'd think that thefollicle would push out a hair in some random direction, sometimes towards the outside world and sometimes in the direction of your bones.

Obviously they don't (!) but the question is how?

The nail is the same: the lunula emits these keratinocytes in only one direction; even more weirdly it's a planar structure.
I’ve given up on correcting people. “AI” has been erroneously used to describe LLMs enough that it’s in most peoples’ heads as the correct usage. Language changes over time, and even if we’re “right” about the term AI being incorrectly applied here, we don’t get to make choices about how language is used - it’s its own beast and it obeys its own laws.

The makers of Velcro (brand name) would love for people to use “hook and loop fasteners” when referring to velcro (generic), but once enough people are using a term you might as well try to fight the tide.
Vscode with GitHub copilot is great, been using it for about a year and a half, no complaints. The business tier allegedly doesn’t save/train on your data
Yeah, I did that, and you sure do lose weight that way. But after a while you REALLY start wanting to eat some carbs.

I don't know about you, but for me, anything which requires extreme self-control, 24/7, eventually fails.

If it's just a matter of changing habits, yeah that is hard, but it works. It takes a lot of self-control to change a habit, but once you have established a new habit pattern, you do it automatically.

Even if its not a matter of habit--like you avoid cheating on your wife by just not hanging out with beautiful women--that works too. It takes self-control, but not continuous self-control.

But continuously, actively, fighting against one of your strongest urges takes energy and depletes your willpower. I've been able to do it for 3-6 months, but after that I just cave.
There's even a rather long Wikipedia article on such competitor information gathering and analysis: https://en.wikipedia.org/wiki/Competitive_intelligence.
Ten years for a dual income to afford a down payment. Nuts. With ten years of savings I could buy two houses where I live, and I don't make that much. How people in CA stand it I don't know.
Wouldn’t that innovation belong to the original Halo then? Halo 2 was mostly iterative improvements.
Ask HN: Are deep learning theorist employable in the industry
I am an undergraduate student interested in deep learning. Just curious on how applicable deep learning theory knowledge is in the practical setting? Based on my very limited amount of conversation with people in my university, career fairs, and online information, what I get from them is that a lot of the hyperparameter selection decisions comes from the engineer's intuition and past experience. Trying to combine my knowledge of statistics and some deep learning theory survey that I've tried my best to understand, it seems to be possible to come up with a rigorous and procedural way (something that could be streamlined) to determine hyperparameters and possible architectures if we know certain properties of the dataset and intended task.

Is the theory good enough for the practical applications? (by practical I don't mean large scale projects that Google or OpenAI does. More of just small companies who seek to apply established methodologies on their own dataset). If yes, then do people actually do this? If no, can I have more of your thoughts on why?
> You'll notice the same messages surfacing in various online avenues of certain niches nearly at the same time

for example, right here on HN was a buncha posts about Moka pots. the coffee pot, that is.

also started popping on lemmy and reddit. then gone. haven't seen much discussion before, or since.

I own a couple of said pots and noticed the uptick since I'm a fan, but the suddenness of it was a surprise, and points to marketing efforts.
Not really sure how it could? It’s just effectively adding ~5” of wire and a differently shaped connector. Unless you’re worried about the fraction of a nanosecond the extra wire will add...
For the still training 400B:

Llama 3 GPT 4(Published)
BBH 85.3 83.1
MMLU 86.1 86.4
DROP 83.5 80.9
GSM8K 94.1 92.0
MATH 57.8 52.9
HumEv 84.1 74.4

Although it should be noted that the API numbers were generally better than published numbers for GPT4.

[1]: https://deepmind.google/technologies/gemini/
I've read similar things about image models from 12 years ago beating the pants off most radiologists. I think the difference is that most writers, illustrators, musicians, drivers, etc. eke out a marginal living, while radiologists have enough reserves to fight back. The "move fast and break things" crowd in silicon valley isn't going to undertake that fight while there's still so much low-hanging fruit, ripe for the harvest.
Doesn't clever imply a conscious designer? Not very scientific.
If they can develop any evidence at all (perhaps from a whistleblower, perhaps from some characteristic unique to their model), they can sue and then there's they get to do "discovery", which would force the sued party to reveal details.
As a European working on relocating out of the EU this is beyond hilarious.
I’m not sure where this $5500 figure came from but if you want a decent sized home in a good area with good schools there are not homes for sub $1m to be found.

$1.5m is a much more realistic sale price for a modest home in a good area, and with 20% down that’s more like $10k a month between mortgage and taxes and insurance.
So much of this article resonates with me. Fortunately ours was not as horrific. Last year, my family was in a car crash while stopped at a stop sign. Someone from the crossing road veered off directly into my driver's side without slowing, about 40 mph. My pregnant wife and two year old daughter were in the back seat. My wife sustained a concussion and extreme anxiety about the condition of our unborn child for the remainder of the pregnancy. My nose was broken and face scarred. My daughter was physically unharmed.

Everything she says about feeling like its important to tell people that you did nothing wrong, that it wasn't an 'accident' (oopsie, I almost killed your entire family!), that somehow you have to just keep on living your same life again and driving like this couldn't happen any minute ever again - I feel in my bones and don't think I will every be comfortable on the road or around cars ever again.

The person that hit us fled and was not pursued or found. Sometimes I wonder if they ever get curious about what happened to us. Also, turns out uninsured motorist coverage only applies if you can prove they didn't have insurance, hah.
> the EU laws are getting too draconian

You also said that when Meta delayed the Threads release by a few weeks in the EU. I recommend reading the princess on a pea fairytale since you seem to be quite sheltered, using the term draconian as liberally.
Running production-grade PostgreSQL on Kubernetes
Agreed about Vietnamese, which brings up another issue: diacritics. A word or phrase that is heavy on uppercase with diacritics ("BÁNH CUỐN") will look quite different in the vertical plane from one with a lot of descenders ("eggnog"). Even for developers who don't worry about Vietnamese, it is quite common in North America to require support for Spanish and/or French, which can also feature a lot of words with diacritics: "¿Ándale, vamos?"
Most people. Physics uses math to model the world, but is independent (math is not a science). At least we don't have any further evidence to say otherwise. There's a lot of interesting ideas around this in https://www.maths.ed.ac.uk/~v1ranick/papers/wigner.pdf and many of us believe that the universe itself is effectively an embedding of a large mathematical structure in a 3D-space 1D-time. But that would be effectively impossible to prove in any convincing way.
It wasn't crippling at all. I got paid way more because of it. The place I got my first job had higher salary for a masters, so much higher that it paid the entire cost of my masters in less than a year.
Edit: I’m not sure if I’m actually using Meta AI? I’m using Facebook messenger and hit the Meta AI logo and had a conversation with some sort of LLM. Maybe it’s an older version?

I just tried this on Facebook messenger. I asked it to generate a picture of a dog and ferret wearing cowboy clothes having a duel at high noon. It then said “Here you go. You can tell me to animate the image to make it move.” So I said “can you animate the image”? To which it replied

“I see you're interested in taking the image to the next level! Animating the image would require some additional tools and processing power. But I can describe the animation for you!

Here's a description of the animation:

The scene opens on a dusty, old-timey western street, with the dog and ferret facing off in the middle. The sun is high overhead, casting a warm, golden light over the scene. The anthropomorphic animal onlookers - a rabbit bartender, a cat poker player, and a horse sheriff - watch with bated breath from the saloon's porch.

As the clock strikes high noon, the dog and ferret slowly draw their guns. The camera zooms in on the tense standoff, the only sound the soft rustling of the wind and the creaking of the saloon's wooden sign.

Suddenly, the dog and ferret fire their guns simultaneously, and the camera freezes for a moment, capturing the intensity of the duel. Then, the scene fades to black, leaving the viewer wondering who emerged victorious.

Let me know if you have any other questions or if there's anything else I can help you with!”

So apparently it imagines it has capabilities that it doesn’t actually have? I mean, you can’t beat free but it’s weird to have it ask me if I want to do something it can’t actually do?
Just use the Replicate demo instead, you can even alter the inference parameters

https://llama3.replicate.dev/

Or run a jupyter notebook from Unsloth on Colab

https://huggingface.co/unsloth/llama-3-8b-bnb-4bit
Interesting read. Programming is so cool!

I didn't really love the game, but watching YouTube videos of what people have done is incredible.
No offense taken, I don't think you'll have any issue, and the tech market is relatively good
who is also seeing trends for databases to move away from managed services like RDS and move towards k8s?
It’s still available if you append /.i to a www.reddit.com URL
Lex walked so that Dwarkesh could run. He runs the best AI podcast around right now, by a long shot.
Three Shifts Re-Defining the Semiconductor Landscape
Thanks, this is the tweet thread I was referring to.
> Is the theory good enough for the practical applications?

Unless you are implementing your theories yourself, I'm going to go ahead and guess "no" on this one.
It's a very plausible rumor, but it is misleading in this context, because the rumor also states that it's a mixture of experts model with 8 experts, suggesting that most (perhaps as many as 7/8) of those weights are unused by any particular inference pass.

That might suggest that GPT-4 should be thought of as something like a 250B model. But there's also some selection for the remaining 1/8 of weights that are used by the chosen expert as being the "most useful" weights for that pass (as chosen/defined by the mixture routing), so now it feels like 250B is undercounting the parameter size, whereas 1.8T was overcounting it.

I think it's not really defined how to compare parameter counts with a MoE model.
Self-awareness - let alone analysis! - is not a part of their or their viewership’s culture. May as well ask when Donald Trump will next reflect on an emotional state not his own.
It's a concession that is easy for people buying investments and difficult for people who are stretching to afford home ownership.

The highly regressive nature of housing appreciation has long drawn criticism, but the raft of policy choices that produce this outcome has historically been defended by the notion that most Americans benefit. Rich Americans benefit more, but most Americans own vs rent, so most Americans benefit, at least in nominal terms. Changes in the composition of demand are notable, and this is an indicator. When investment demand begins to exceed consumption demand, when most Americans do not benefit, there are electoral consequences to our democratic process that might signal a secular shift in those policy choices.

The indicators are worth watching.
I can imagine the same would apply to any Super-intelligence. To the singularity, time would simply pass immensely slow because of the parallel computation power, which to us humans on the other hand would look super intelligent.
Didn't Darwin write a book that did just that?
See this discussion and blog post about a model called OLMo from AI2 (https://news.ycombinator.com/item?id=39974374). They try to be more truly open, although here are nuances even with them that make it not fully open. Just like with open source software, an open source model should provide everything you need to reproduce the final output, and with transparency. That means you need the training source code, the data sets, the evaluation suites, the inference code, and more.

Most of these other models, like Llama, are open weight not open source - and open weight is just openwashing, since you’re just getting the final output like a compiled executable. But even with OLMo (and others like Databrick’s DBRX) there are issues with proprietary licenses being used for some things, which prevent truly free use. For some reason in the AI world there is heavy resistance to using OSI-approved licenses like Apache or MIT.

Finally, there is still a lack of openness and transparency on the training data sets even with models that release those data sets. This is because they do a lot of filtering to produce those data sets that happen without any transparency. For example AI2’s OLMo uses a dataset that has been filtered to remove “toxic” content or “hateful” content, with input from “ethics experts” - and this is of course a key input into the overall model that can heavily bias its performance, accuracy, and neutrality.

Unfortunately, there is a lot missing from the current AI landscape as far as openness.
Just resubmit with the correct link
Man, I would love cloth seats
Llama is open weight, not open source. They don’t release all the things you need to reproduce their weights.
What is the time period for this statement? I'm assuming that must be weekly, but everywhere else in the report, the units are daily.

"Adults aged 18–64 years should do at least 150–300 minutes of moderate-intensity aerobic physical activity;"

EDIT: Added quotes for clarity.
Possibly. There are two ways one can look at the response. When Cloudflare decided to stop working with a company it could be assumed the CEO made a decision that the revenue from that relationship was no longer as important as the social mission or reason to cease doing business.

It is possible that the CEO of Google may have considered the economic impact cessation of the service to Israel might cause, and weighed that against employee fallout.

It would have been incredible to have been a fly on the wall as Sundar Pichai came to the decision to have the protestors fired/arrested.
I mean, there is a lot of shillbot posting on the HN.

but also keep in mind it's a startup-focused new aggregator and is explicitly for pushing your new product, esp. the YC ones.

it's a concession you have to make to use the site regularly, and I can live with that.
Real estate securitization drives speculative investing into highly leveraged markets. Put another way, unless interest rates are set to some absurdly high levels above 9.6% for 2 to 3 years... the gamblers will continue to externalize risk onto the taxpayers.

Won't ever happen even after 2008, as wealthy lobbyists will not willingly choose to lose asset valuation.

I now live in a city where a low-end house mortgage is 105% of average incomes. The people who understand negative amortization are already cashing out and leaving.

My popcorn is ready... =)
Seeing this firsthand, Sold our house in southern California in mid 2022. Moved to another state and regretted it. Looking to buy back in our area(also looking at another area if we can't find something in socal). Both me and my Wife are extremely high earners(Staff FANG comp for me and HR Director salary for Wife) and we are shocked at how expensive things have become in our old city(not naming it as I don't want more people looking there!).

Basically when we bought there during the early stages of the pandemic(mid 2020) most decent/somewhat updated 3 br 2 bath houses were between $800k to $1.2M, with some really nice ones $1.4M to $1.6M. Now the same houses are $1.7M to $2.1M which is basically a doubling of prices, and oh you have 7% interest rates which make housing payments insane. The local wages do not support these housing prices and being a rational person myself it is quite frustrating.

Our realtor is saying alot of the offers(about 75%) she has been seeing are coming from either SF or SF bay area as things are falling apart up there and families want to get out while they can(this is what they are telling her). And alot of all cash buyers have beaten us in almost every offer we have made, so a decent amount of these buyers are from northern california.
Link to the video from the bottom of the article: https://www.youtube.com/watch?v=O_nk21389u8

The video includes side-by-side comparison between the original upscaled 480p and 720p. Around 7:00 you hear about what it takes to get 720p and maintain around 30fps gameplay. Not only a great article, but also a great video to summarize the changes needed get the higher resolution.