MurphyA/hacker-news huggingface dataset:
by cm2187 | 2025-08-05 18:58:19+00:00
I agree, and I am a consumer of those myself, which did absolute wonders. And of course I will assign vastly more weight to my own experience, than to the opinion of some random guy on the internet who only read about it.

However, we also need to be conscious that this is a very very big business, and given the size of the market, is happy to pour billions into some studies that will demonstrate that it has all the benefits in the world and cures everything. Addressing obesity is a humongous benefit in itself, and helps with all the medical conditions that result from it (which in balance makes most mild side effects irrelevant). I am a lot more skeptical about those dozens of claims that it improves X by Y% (often low single digit). Most medical studies in general are dodgy, show minor benefits on small samples in a massively multivariate environment, which more often than not are statistical noise carefully selected, when the approach don't have outright flaws or fraud.
by mooreds | 2025-08-05 18:58:23+00:00
Cool, cool! Thanks for the thoughtful response. Will be interested to see your replay approach when you release it. We implemented it but have a different set of constraints than your service, of course.

If you want to look at another SAML implementation (perhaps to gather additional CVEs or for testing), we've open sourced our SAML bindings for Java: https://github.com/FusionAuth/fusionauth-samlv2
by db48x | 2025-08-05 18:58:35+00:00
Remember, we are talking about minimums here, the least common denominator. At 100×20Mbps you are not handicapped like you are if you are stuck on dialup.

Live 4K video chat needs less than 20×20Mbps, but remember also that most people don't have 4K televisions or 4K cameras. Even gamers mostly don’t have 4K monitors! The most recent Steam hardware survey <https://store.steampowered.com/hwsurvey/Steam-Hardware-Softw...> shows that just 5% of gamers have a 4K or better display. 55% have 1920×1080. I don’t have similar statistics for televisions or webcams.

The other uses you list require even less bandwidth. Nothing about a language model requires bandwidth. You either interact with it remotely, at a few kilobits per second, or you run it locally using no bandwidth at all. Large games might take an hour to download instead of minutes. Waiting for an hour is not going to handicap you. Most people shouldn’t even pay extra for that. Backups need some bandwidth, but only in proportion to the amount of data you have generated. Most people don’t create hundreds of gigabytes of new files that need to be backed up remotely; the largest files most people create are photographs and videos of family events, vacations, etc. These files can be backed up with no difficulty at 20Mbps.

> So only the living room gets 4K, but family members can't all watch their own 4K streams in their own rooms?

Pay attention and don’t be an idiot! The FCC definition of broadband is 100Mbps down and 20Mbps up. Netflix tops out at 16Mbps down, so those 100Mbps can supply 100/16=6 whole 4K television streams easily. If your family of six people is sitting in six different rooms watching six different television shows then your family has a problem. That problem is not a lack of bandwidth.
by xorcist | 2025-08-05 18:58:50+00:00
What is this eternal meme about merges in svn being harder than in other tools? Git used literally the same merge algorithm, even if that has changed a bit since then, and merge conflicts are not something a tool can't just magically make disappear. If you want concurrent edits (the c in cvs), conflicts come in the same package. Various algortihms can supply their own dose of magic, but they're more similar than different (minus a few special cases such as rerere in git).
by mapontosevenths | 2025-08-05 18:58:57+00:00
Ozempic itself has been in use for almost a decade now (originally approved for type 2 diabetes in 2017). Many millions of people have taken it, without much in the way of serious complication.

Exenatide had been in use since about 2005, and by 2019 had more than a million people on it. Some of those patients have literally been on it for 20 years. It does have a worse side-effect profile than Ozempic (or the more modern GLP-1's like zepbound), but even then the benefits outweigh the risk for those diabetics.

Today it is hard to argue the benefits of modern GLP-1s don't outweigh their risks. They've been extensively tested, the class of drug has been around for decades, and they are used by many millions of people.

I personally lost 120 pounds on Zepbound in a little less than a year. It's been life changing, and anyone who thinks I might be less healthy now is very clearly wrong. Literally every aspect of my life has been greatly improved.
by WorldPeas | 2025-08-05 18:58:59+00:00
when I read "how it works" I assume you mean that it was a success? bailing out GM in the way they did pushed their novel vehicle platform technologies to fall to the wayside and for them to refocus on combustion. New brands were on the horizon, there was a hope for a new modern vehicular order but the midrange of the market was squatted by GM's insufficient vehicles. I don't think 2008's bailout worked, at all.
by jjice | 2025-08-05 18:59:06+00:00
I was kind of scared of these when Ozempic starting picking of steam for weight loss. I was worried that this would be having more negative effects. Turns out, generally speaking, if used with you doctor, these things are pretty safe, especially comparatively to some of the negatives of being overweight.

And then I saw some of the stories on HN about how it's changed peoples lives for the better. And then people in my life started taking it and singing its praises. I'm very bullish on GLP-1s now and I've very excited to see all the lives it improves. I'm not saying this thing is 100% miracle with no downsides, but this seems to be a generally large net positive.

It's a bit hard for me to comprehend how big of an impact this can have for someone since I've been very fortunate to never struggle with my weight, but I'm (slightly embarrassingly) tearing up writing this because of how many people I've seen have huge positive effects on their physical and mental health (due to body image).
by stillpointlab | 2025-08-05 18:59:13+00:00
One analogy I have been thinking about lately is GPUs. You might say "The amount of time it takes me to fill memory with the data I want, copy from RAM to the GPU, let the GPU do it's thing, then copy it back to RAM, I might as well have just done the task on the CPU!"

I hope when I state it that way you start to realize the error in your thinking process. You don't send trivial tasks to the GPU because the overhead is too high.

You have to experiment and gain experience with agent coding. Just imagine that there are tasks where the overhead of explaining what to do and reviewing the output are dwarfed by the actual implementation. You have to calibrate yourself so you can recognize those tasks and offload them to the agent.
by js2 | 2025-08-05 18:59:34+00:00
This transcript is of CEO Stockton Rush interviewing redacted "Director of Marine Operations"? Do I have that right?

Why is there a transcript of the CEO interviewing one of his own employees, apparently in front of the NTSB, from 2018?

Edit: the transcript is between Stockton Rush and his former director of marine operations, David Lochridge, plus three other staff. [...] Lochridge: "That meeting turned out to be a two-hour, 10-minute discussion… on my termination and how my disagreements with the organisation, with regards to safety, didn't matter." [...] The 2018 meeting was recorded.

https://www.bbc.com/news/articles/c7819kx4498o
by BalinKing | 2025-08-05 18:59:38+00:00
With the exception of one or two sentences, it sounded pretty neutral to me... maybe I just didn't read it closely enough? The "dogmatism" of the technical criticism (assuming the post is accurate) really does seem justified to me—e.g. if the book uses dynamic scoping without even a disclaimer like "this is a bad idea, but we're doing it for simplicity", that alone makes it a bad recommendation for beginners IMO.
by KerrAvon | 2025-08-05 18:59:54+00:00
I don't know, it doesn't seem overly smug to me. It seems borne of experience and helpfulness.

"And a parser generator is very overkill for a Lisp parser - just use recursive decent!" -- it's interesting that, as simple as Lisp is to parse, this is the same advice you'd get from experienced C/C++ compiler writers, from modern Clang to Stroustrup in 1993.
by TimTheTinker | 2025-08-05 19:00:00+00:00
It seems to me that the "elephant in the room" no one has mentioned yet w.r.t. academia is the model of modern academic administration, where universities are run like cruise ships (look at the perks kids are paying for these days!) with hedge funds attached, and have no "skin in the game" with regard to the incredibly high financial risks that students take when they pay for tuition.

If: (a) students paid 1/10 of what they pay today[0], (b) all the on-campus expensive perks were ended (new buildings sold, etc.) and the administration headcount dropped to 1 per every 50 students, (c) tuition went directly to professors, research, and basic groundskeeping, (d) some kind of financial arrangement were put in place so universities had skin in the game with regard to the success of their graduates[0]

then I'm positive the academic system would become far more effective at educating students and preparing them for life, and there would be a positive trickle-down effect to scientific research and the politics there.

[0] State-funded secondary education in European countries costs far less than university education in the US. There's a reason for that - unlike students with easy access to debt, the government won't pay such exorbitant fees.

[1] A very rough stab at an idea for making universities have skin in the game: make tuition for degrees conferred refundable by some percentage (50%?) if more than a certain fraction (10%?) of graduates with B- or higher GPA in their majors are collectively unable to find a job in their field within 2 years of graduation. If a university needed to withhold that guarantee for some majors, that would be a very helpful signal for prospective students.

But the point isn't the specifics, it's that just the presence of such a lever (and its absence at some universities or majors) would be a powerful signal to prospective students, better align the university's incentives, and cause a lot of necessary changes.
by y-curious | 2025-08-05 19:00:13+00:00
I am one of those people to some extent. For me, it's the naturalistic fallacy I can't get over. I drink caffeine daily, but the idea of hijacking my hunger with an injectable induces dread. I would like to believe that there are no long-term side effects, but:

1. We have to trust the data of for-profit pharmaceutical companies and their trials. They are incentivized to produce optimistic results.

2. It's relatively new (insofar that a lot of people are taking it). Opiates were touted in a similar way until the other shoe dropped. There exists an undefined line in time where I would feel more comfortable.

3. It is/was made of a poison from an animal.

4. The extreme benefits are overwhelmingly in obese candidates. Keto is the same way; I tried it and it was not for me because I am not obese.

I'm actually open to any sort of evidence that will change my mind. No name calling please.
by Freeformcareers | 2025-08-05 19:00:15+00:00
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by Polizeiposaune | 2025-08-05 19:00:27+00:00
Utility poles may exist, but they may be structurally inadequate so the fiber installer may have to wait years for the pole owner to get around to replacing a string of poles before the fiber can be hung.

The poles may have been placed along the back property line without an easy way for a new utility to get in there without nicely asking each household on the street to let them into their back yard.

Spend a little time reading Sonic's "Access" forum. There's a very real have-vs-have-not dynamic going on there because there are areas where Sonic just can't deploy fiber any time soon that are just blocks away from people with service. Estimated service dates keep slipping when they run into unknown unknowns. There is significant engineering and construction work required in each and every neighborhood.

That have-vs-have-not dynamic creates niches for satellite internet service -- rather than having to wait until all the fiber ducks are in a row, you can just pick up a kit at a hardware store or get it delivered, plug it in, point it at the sky, and you're done.
by thefaux | 2025-08-05 19:00:33+00:00
Yes, because the people pushing the boundaries do not understand the value of the thing they are trying to commoditize. If they did, they wouldn't be trying to commoditize it. There is a pervasive attitude among technologists that they can improve things they don't understand through technological efficiency. They are wrong in this case and getting appropriate pushback.

Personally, music is sacred for me so making money is not a part of my process. I am not worried about job loss. But I am worried about the cultural malaise that emerges from the natural passivity of industrial scale consumerism.
by gmueckl | 2025-08-05 19:01:09+00:00
When you walk into a store, you can see and touch all of these products. It's intuitive.

With all this LLM cruft all you get is essentially the same old chat interface that's like the year 2000 called and wants its on-line chat websites back. The only thing other than a text box that you usually get is a model selector dropdown squirreled away in a corner somewhere. And that dropdown doesn't really explain the differences between the cryptic sounding options (GPT-something, Claude Whatever...). Of course this confuses people!
by acc_297 | 2025-08-05 19:01:24+00:00
Agree on training. But that google paper was written when the only image model available for broad public consumption was dall-e 2 and video models were more than a year away. It gets a mention in a more recent 2024 paper [1] which goes into detail about how inference rather than training creates the difficult to manage energy load which grids struggle to meet. If consumer interests and demands drive the trend in what companies offer in terms of inference capability then it's fair to worry that the impact on sustainability goals will be an afterthought.

[1] https://dl.acm.org/doi/pdf/10.1145/3630106.3658542
by furyofantares | 2025-08-05 19:01:28+00:00
I'm using ccusage to get the number, I think it just looks at your history and calculates based on tokens vs API pricing. So I think it wouldn't account for caching.

But I totally agree there's no way it lasts. I'm mostly only using this for side projects and I'm sitting there interacting with it, not YOLO'ing, I do sometimes have two sessions going at the same time but I'm not firing off swarms or anything crazy. Just have it set to Opus and I chat with it.
by codeapprove | 2025-08-05 19:01:34+00:00
I made a competitor to GitHubs UI for Pull Requests (codeapprove.com)

It’s built in Vue. My first 5 or 6 attempts at writing the diff viewer were very slow when things got big. I optimized this a lot and now I’m pretty proud of how snappy it is.

I’m not saying this as a plug (this is mostly a passion project not a big business) but to say that it’s possible to make a snappy GitHub PR UI using a frontend framework on top of GitHub’s own APIs. You just have to care. It’s not clear that they care.
by margalabargala | 2025-08-05 19:01:34+00:00
If anything, Anthropic has the product lineup that makes the most sense. Higher numbers mean better model. Haiku < Sonnet < Opus which translates to length/size. Free < Pro < Max.

Contrast to something like OpenAI. They've got gpt4.1, 4o, and o4. Which of these are newer than one another? How do people remember which of o4 and 4o are which?
by WorldMaker | 2025-08-05 19:01:37+00:00
> 2) The GitHub Next team built their work in React because they required the ergonomics to move fast and they were operating independently from the production app teams. I think the first thing of theirs to be integrated was Projects, and they could probably show that their components had much better DX. Starting from the ergonomics argument, the hiring argument would take hold.

There's also an impression from outside that the GitHub Next team also got a large amount of pressure to dogfood LLM usage, especially in new feature building.

There seems to be a visible ouroboros/snowball effect that LLMs are causing that they were trained so much on React code that's what they know best and because that's what they know best the goal should be to move things to React and React Native to take the most advantage of LLM "speed and productivity boosts".

I'm currently a pawn that feels about to be sacrificed in a cold war happening in my own day job over how much we should move towards React to make executives and shareholders happier at our "AI all the things" strategy. Sigh.
by radiofreeeuropa | 2025-08-05 19:02:54+00:00
It's great because we had no other way to address this problem at a population level. Not any realistic ones, anyway.

Like, I figured we were just never going to solve it, given the two possibilities were "radically re-engineer US culture such that moving to the US doesn't make previously-skinny people fatter" (with other countries heading the same direction as us needing to make similar moves, one supposes) or "find a miracle drug". Neither seemed likely. Turns out, decent odds we've managed the latter! Which was always the more likely of the two, but I still wouldn't have rated it as very likely.
by davidw | 2025-08-05 19:03:08+00:00
Big picture, what's the balance going to look like, going forward between what normal people can run on a fancy computer at home vs heavy duty systems hosted in big data centers that are the exclusive domain of Big Companies?

This is something about AI that worries me, a 'child' of the open source coming of age era in the 90ies. I don't want to be forced to rely on those big companies to do my job in an efficient way, if AI becomes part of the day to day workflow.
by taeric | 2025-08-05 19:03:11+00:00
I don't view that as a side effect? That is, computed fields are not necessarily side effects, are they? I was thinking more like objects that keep track of how many times they were accessed. (This pattern was discussed recently for python dicts.)

I'm sure there are plenty of other similar uses that I just don't know about.

That said, if this is really included computed fields, that seems far broader.
by jvanderbot | 2025-08-05 19:05:05+00:00
With respect, neither of you are qualified to speak for majority of Americans, but given the amount of effort, money, ink, and television dedicated to looking better and losing weight combined with the fact that there's even a thing called fat phobic that even requires definition just to push back on all that...

I think there's sufficient reason to believe that "Overweight = bad" is a common standard that at least people hold themselves to.
by maxloh | 2025-08-05 19:05:13+00:00
> We introduce gpt-oss-120b and gpt-oss-20b, two open-weight reasoning models available under the Apache 2.0 license and our gpt-oss usage policy. [0]

Is it even valid to have additional restriction on top of Apache 2.0?

[0]: https://openai.com/index/gpt-oss-model-card/
by hvb2 | 2025-08-05 19:05:17+00:00
Not sure is this is sarcasm I'm assuming not.

You're comparing well understood products that are wildly different to products with code names. Even someone who has never wore a t-shirt will see it on a mannequin and know where it goes.

I'm sorry but I cannot tell what the difference is between sonnet and opus. Unless one is for music...

So in this case you read the docs. Which is, in your analogy, you going to the Nike store and reading up on if a tshirt goes on your upper or lower body.
by zarzavat | 2025-08-05 19:05:21+00:00
Github Copilot and Claude code are not exactly competitors.

Github Copilot is autocomplete, highly useful if you use VS Code, but if you are using e.g. Jetbrains then you have other options. Copilot comes with a bunch of other stuff that I rarely use.

Claude code is project-wide editing, from the CLI.

They complement each other well.

As far as I'm concerned the utility of the AI-focused editors has been diminished by the existence of Claude code, though not entirely made redundant.
by rikroots | 2025-08-05 19:05:53+00:00
> Granted, you can say "you still can play musical instruments/paint pictures/etc for yourself", but I don't think there was ever a period of time where creative works were just created for sake of itself rather for sharing it with others at masse.

There's a whole host of "art" that has been created by people - sometimes for themselves, sometimes for a select few friends - which had little purpose beyond that creation[1]. Some people create art because they simply have to create art - for pleasure, for therapy, for whatever[2]. For many, the act of creation was far more important than the act of distribution[3].

For me, my obsession is constructing worlds, maps, societies and languages that will almost certainly die with me. And that's fine. When I feel the compulsion, I'll work on my constructions for a while, until the compulsion passes - just as I have done (on and off) for the past 50 years. If the world really needs to know about me, then it can learn more than it probably wants to know through my poetry.

[1] - Emily Dickinson is an obvious example: https://en.wikipedia.org/wiki/Emily_Dickinson

[2] - Coral Castle, Florida: https://en.wikipedia.org/wiki/Coral_Castle

[3] - Federico Garcia Lorca almost certainly didn't write his Sonetos del amor oscuro for publication - he just needed to write them: https://es.wikisource.org/wiki/Sonetos_del_amor_oscuro
by ghc | 2025-08-05 19:05:54+00:00
Here's a sample of running the 120b model on Ollama with my MBP:

```

total duration: 1m14.16469975s

load duration: 56.678959ms

prompt eval count: 3921 token(s)

prompt eval duration: 10.791402416s

prompt eval rate: 363.34 tokens/s

eval count: 2479 token(s)

eval duration: 1m3.284597459s

eval rate: 39.17 tokens/s

```