skysight-inc/HackerNews huggingface dataset:
Whether the author likes it or not, the emotional manipulation genie is out of the bottle. We cannot compete with hundreds of industrial psychologists using attachment theory to bind us to brands, and outrage to sell clicks. We'd have to reorganize our society to reverse the incentive structure of the current arrangement which is ideologically forbidden.

Instead it's easy to predict what will come. Those who are particularly affect will have their consequences individualized - it will be a personal moral failure on their part succumbing to the consequences of that influence, or greedy marketeers, or sadly simply "the way the world works" unable to even be reformed lest we unleash even more negative consequences.

The way out is never back, it's through and it's structural. We used to be able to imagine a different world, a better world.
Show HN: Railway – A better way to build software. Period
> Amodei has said companies will spend $100 million to train a bleeding-edge model this year

Is it just me or does $100 million sound like it's on the very, very low end of how much training a new model costs? Maybe you can arrive within $200 million of that mark with amortization of hardware? It just doesn't make sense to me that a new model would "only" be $100 million when AmaGooBookSoft are spending tens of billions on hardware and the AI startups are raising billions every year or two.
US regulators plan to investigate Microsoft's cloud business
For most applications, the choice of algorithms and data structures has more impact on performance than programming language.
They should name it X
Fist - it is not companies' responsibility to train anyone. It is not their business.

Second - H1b are exploitable, because the system allows it.

H1b has demonstrably not suppressed software engineering wages at all.

Non-competes, have - on the other hand.
Trapped Priors: A Fundamental Challenge in Rational Thought
> Let me modify that a little, because humans can't do things outside their training set either.

That's not true. Humans can learn.

An LLM is just a tool. If it can't do what you want then too bad.
Oh, that was my intent, to support the grandparent's claim of "it's also pretty clear" - as in this is what people believe.

If I had evidence that it "is true" that AGI will be here in 5 years, I probably would be doing something else with my time than participating in these threads ;)
as the context windows get larger and the UX for analyzing multiple files gets better, I’ve found them to be pretty good

But they still fail at devops because so many config scripts are at never versions than the training set
There's still a lot of luck of the draw.

It certainly helps if the person is the hiring manager or some skip-level of the hiring manager as opposed to just an industry "name."
Setting Up Failover Slots in PostgreSQL-17
They already charge $200 so I doubt $1 extra is going to matter.
I wrote a script to queue and manage running llama vision on all my images and writing the results to an sqlite db used by my Media Viewer, and now I can do text or vector search on it. It's cool to not have to rely on Apple or Google to index my images and obfuscate how they're doing it from me. Next I'm going to work on a pipeline for doing more complex things like multiple frames in a video, doing multiple passes with llama vision or other models to separate out the OCR, description, and object, people recognition. Eventually I want to feed all of this in here https://lowkeyviewer.com/ and have the ability to manually curate the automated classifications and text.
I think that's a very different statement from "God, I hate that stupid priest. He's so meddlesome." Criticizing people should not count as incitement in a liberal society- consider whether people who told an audience that Trump was a fascist should be held accountable for the assassination attempts. This is defamation.
Bulk scams by mail are at least less common because mail fraud is investigated pretty seriously and results in federal felony charges. Not to mention the cost of initiation is much higher. Unfortunately individuals are still sometimes targeted.
hey! I am building a translation app for a side project. Is there any chance you could share how you're building the voice-to-voice?

My strategy is to separate everything STT, translation, and TTS, instead of building 1 model (that constantly needs to be trained).

But the problem I am running into is there arent' any great STT or TTS models. Either they only support the top 10 languages, they are huge (whisper-v3-turbo), or non-commercial license (fb's tts/mms models).

Are you training your own models? Just targeting what languages you need? planning on running in the cloud?

My email is in my profile bio if you want to email/chat!
Some people are good at playing chess, and others aren’t.
As far as I can tell, this adheres to the free software philosophy, so no non-free software (except some firmware). Which means, no (mainstream) computer games. I'm afraid kids are not concerned with philosophical debates about software freedom and will demand Roblox (or whatever kids play these days).

I imagine it would really help with adoption if a care was taken that modern computer games are easy to install (using proton maybe) and run smoothly, but that's understandably not something Debian people want to focus on.

I couldn't find anything about games (except that Debian Junior has "some games" preinstalled), sorry if that's explained somewhere.
286 doesn't support paging, only segmentation. I have read the manuals extensively, and also discovered what may be the last undocumented feature, almost 40 years after the chip being released. [https://rep-lodsb.mataroa.blog/blog/intel-286-secrets-ice-mo...]

Not saying this to brag, just to establish that I probably know more about that chip than the average poster. And you're also posting plainly wrong claims elsewhere in this thread. I don't get why you're doing this?
We calculated what would happen if we were to run this with its precision and recall metrics.

The simulated fund with GPTree makes a 10x return vs typical VC funds return 3x, over 10 years.
Not big, but certainly bigger. Based on the number of people in the #general channel on Slack, we're ~450 people.
See also: <https://shapecatcher.com/>
Anyway you could check on mine? I've yet to receive it, and I'm ready to start hacking!
The current models are very powerful and we definitely didn't get most out of them yet. We are getting more and more out of them every week when we release new versions of our toolkits. So if this is it; please make it faster and take less energy. We'll be fine until the next AI spring.
Who tells them the number is disconnected? That would have to come from the shady carrier enabling this stuff.
so to be clear, i'm engineering leadership - my exposure is probably greater than most individual contributor engineers but don't take my word as the experience of a dedicated recruiter - they have a much better view of the lay of the land than i do. i just wind up having a certain percentage of hiring/recruiting responsibility as part of my job.

for sure i think that might be a part of it, but i can say from experience that the market is flooded with recruiters, so if capacity was the issue, i'd imagine salaries are depressed right now and tons of talent is available... they could just hire their teams back up.

i genuinely can't explain to you why people aren't getting "no's." i wish i could. it makes me sincerely angry. the way ATSes are usually set up is you have a button to remove them from consideration or put them in some "not at the moment" disposition and every tool i've ever used has an option to automatically send a relevant form email as the result of that action. sending the email would take the same effort as not sending the email.

the only thing i can imagine (and have heard some hr folks say) is that rejecting someone is an action that elicits an emotional response in the person rejected - they might be hurt, they might be offended - and can lead to requests for an explanation why, or also hurt the chance that that person might be interested in working for you in the future. thus, just going dark and acting like "it got lost in the mail" is a way for them to keep the option of hiring you open in the future, or keep you receptive to a response if they reach out 6 months later.

i personally don't know if that's real, and i also don't think it reflects how actual humans respond to being ghosted, but the lack of a rejection email for a role i think is honestly a completely indefensible practice and i do not understand what is going on in the minds of the people who operate that way.
It's not my logic, the jury decided it. I guess take it up with them.

The fines are mostly punitive, which I frankly support. Why? Because Jones deserves it. If anything, Jones should consider himself lucky to be surrounded by such outstanding citizens that they go through the legal system instead of taking matters into their own hands.

Maybe if it was someone else I would care more. But for him, I can't bring myself to care much. Maybe that's illogical, but I don't mind much. Life is always a case-by-case basis.
Yeah they're the shovel sellers of this particular goldrush.

Most other businesses trying to actually use LLMs are the riskier ones, including OpenAI, IMO (though OpenAI is perhaps the least risky due to brand recognition).
Why would they only incorporate a chess engine into (seemingly) exactly one very old, dated model? The author tests o1-mini and gpt-4o. They both fail at chess.
If scammers are wondering if a confused little old lady who's the first person to listen to them all day is actually an AI programmed to be nice that's... probably not a bad thing
> because debugger breaks hardware

What? Seems like you’re talking about embedded but I’ve done a lot of embedded projects in my time and I’ve never had a debugger that breaks the HW.
A new article I wrote following up on my last post[0], with all the changes coming to virtual geometry (a 3d renderer similar to Unreal Engine 5's Nanite) in the 0.15 release of the Bevy game engine.

[0]: https://jms55.github.io/posts/2024-06-09-virtual-geometry-be...
Agreed, the `podman` command is 95% drop-in compatible with the `docker` command, but those edge cases are annoying and I would rather just use the docker cli backed with podman running the containers.
Now that I think about it, you have a point. I will update the website in a few minutes. Thanks man!
Ex aerospace engineer here:

Biggest reasons are a) availability of ARM based SOCs that have some pretty good processing b) Lithium batteries

Back in 2000s, lithium batteries were coming out, but werent as safe. Being into the RC world, you would see plenty of battery fires. If you wanted to be safe, you generally went with NiMH batteries, which were heavier.

In terms of aerodynamic efficiency, its much more efficient to move large amount of air slowly rather than small amount of air fast, and the efficiency gains from this are higher than efficiency gains from running multiple small motors rather than one large motor.

Additionally, there were some notional autopilots microcontrollers, but they weren't really that good in terms of being able to do accurate AtoD sampling.

Thats why RC helicotpers were used heavily as "drones" back in the day, with the bigger ones running on gas engines that could support heavier payloads that included a stabilizer autopilots. With a helicopter, you also used to have a stabilizing flybar that could give you stability in place of flight controller with a gyro.

Once Lithium batteries became safer, cheaper, and higher energy density, and microcontrollers like STM32 with Cortex chips came out that got some A2D samplers into the GHZ range, drones became more viable due to mechanical simplicity (controlling motors rather than a complicated swash plate linkage), especially since the body can be flat carbon fiber pieces that are very cheap to make and are very strong and light.
>it's like claiming that Samsung "enhanced their phone camera abilities" when they replaced zoomed-in moon shots with hi-res images of the moon

to be fair, the human visual system does the same
Love this! A couple years ago I had to do similar for my grandma (94 at the time) who was losing her hearing as well as short term memory loss. Was surprised how few off the shelf options there were.

Had to write a medium article with exact instructions for how to use it otherwise she was very skeptical of using it. The only issue was that she would sometimes read aloud which would enter her into a feedback loop lol.

https://medium.com/@admangan2018/how-to-utilize-the-transcri...
> Except our users experience the failed attempts (LLM replies that are wrong, even when backed by RAG) and it's incredibly hard to hide those from them.

This has been my team's experience (and frustration) as well, and has led us to look at using LLMs for classifying / structuring, but not entrusting an LLM with making a decision based on things like a database schema or business logic.

I think the technology and tooling will get there, but the enormous amount of effort spent trying to get the system to "do the right thing" and the nondeterministic nature have really put us into a camp of "let's only allow the LLM to do things we know it is rock-solid at."
Eh, I agree in a sense, but I'm also ok without the same level of backwards compatibility that Windows is beleaguered by. Every new version of Windows is little more than a thin veneer of whatever they think is a popular choice for UI design that year, and with that comes a clumsy amalgamation of hugely varying settings dialogs, the classic registry, all the goop. Meanwhile on macos, I don't expect very complex software to maintain perfect compatibility, but I can reasonably expect most of the stuff I use to carry forward 5+ years. Parallels and Omnifocus were the exceptions, but 1password from 2012 is still kicking, Data Rescue 3 somehow still works, I'm sure even Adobe CS6 would even though it's from the Carbon era.

Just as well, although I loathe some of the choices Apple's made over the years, such as it's own Settings app, the overall UI would be pretty recognizable if me from 20 years ago found a time machine (pun intended). I recently bought a new mac, and it occurred to me that it feels basically like the E-Mac I used in middle school all those years ago, albeit with the occasional annoyance I wouldn't have been aware of then.
Why Not all 9 to 5 Jobs Are "Bad"
There appears to be quite a bit of negativity towards 9 to 5 jobs on the internet these days, but in this video I explain that not all 9 to 5 jobs are "bad" per se. In fact, I explain that many 9 to 5 jobs can be great as long as your pay is based on your performance, you have specific metrics to hit to make more money, you are getting tons of support/training, and you're surrounded by a great team that inspires you to be great.
In one sense this is funny, in another it's justice, but I think from a broader perspective this is just more of the same tit-for-tat nonsense that moves the needle in the wrong direction.

My hypothesis is that the U.S. didn't become more divided because of moron sites like I.W. but rather because of our collective reaction to them. These groups are far easier to ignore when we stop trying to silence them.
They literally drove the Industrial Revolution my dude.

Britain's coal being closer to the surface compared to other reserves was a reason the Industrial Revolution started in the United Kingdom and not elsewhere.
Probably DOCKER_HOST[0][1]

[0]: https://docs.docker.com/reference/cli/docker/#environment-va...

[1]: https://podman-desktop.io/docs/migrating-from-docker/using-t...
No I don't - I'm saying that tool use is no panacea, and availability of a chess tool isn't going to help if what YOU need is a smarter model.
90% sure this was also an idea in Bill Gates’ “The Road Ahead”
I do wonder how much of this is the prompt. Gpt-4 was doing really well against me when it launched but my prompt was quite different
What habits changed?
There is no single definition, let alone a way to measure, of self awareness nor of reasoning.

Because of that, the discussion of what AGI means in its broadest sense, will never end.

So in fact such AGI discussion will not make nobody wiser.
The notion about "groups" is nowhere in the article. Your comment, however, is written as if belonging to some group is necessary. Worse, your comment delineates the example groups it gives based on social media apps!

...and there's the irony. Because in my view, this unquenchable need to tribalize and to identify enemy tribes is a direct consequence of the crisis described in the article. Which is fully aligned with my day to day experience BTW.
I do wonder how quickly llms will become a commodity AI instrument just like any other AI out there. If so what happens to openAI
66% of H1-B approvals are in computer related positions. https://www.uscis.gov/sites/default/files/document/data/OLA_...
I predict that this all goes away now with a Trump popular vote win. This tends to only gain support and media coverage when Democrats were winning popular vote but were losing the Electoral college.

If you overlay the existing states that have passed the NPVIC over what Harris won, all but MN went blue. If the compact was active for 2024 with the current participating states, Harris would have only received the VA and NH electoral wins for a total of 17 votes. Trump would have 521 votes.
I guess your perception depends on how many tech hype cycles you’ve lived through. I’ve lived through three for “AI” alone.
Human interaction with peers is also guidance.

I don't know how many team meetings PhD students have, but I do know about software development jobs with 15 minute daily standups, and that length meeting at 120 words per minute for 5 days a week, 48 weeks per year of a 3 year PhD is 1.296.000 words.
Old Vintage Computing Research: Dusting Off Dreamcast Linux
It’s H1B abuse, everyone knows it. Indian nationals get hired on in a leadership position, and all of a sudden the entire tech branch is staffed by H1B workers, wonder how could that be? We all know it’s happening, but if you say it done head in the sand junior well call you racist.
I'm curious why you find descriptions of images useful for searching. I developed a similar flow and ended up embedding keywords into the image metadata instead. It makes them easily searchable and not tied to any databases, and it is faster (dealing with tens of thousands of images personally).

* https://github.com/jabberjabberjabber/LLavaImageTagger
You have this notion of a visualization gimmick and have visualized me using it (ironic). In fact my game is far simpler; blithly preempt and thereby insult anybody who subscribes to a belief I consider to be misguided. For all I know they look just like me, it makes no difference.
AI can be thought of as the 2nd stage of the creature that we call the Internet. The 1st stage, that we are so familiar with, is about gathering knowledge into a giant and somewhat organized library. This library has books on every subject imaginable, but its scale is so vast that no living human today can grasp it. This is why the originally connected network has started falling apart. Once this I becomes AI, all the books in the library will be melted together into one coherent picture. Once again, anyone anywhere on Earth will be able to access all the knowledge and our Babylon will stay for a little longer.
Clearly the jury placed a higher value on wiping out Jones financially than you would have.
You seem to be genuinely curious, which is commendable.

>Will that apply to every law in society or just to H1B laws?

The H1B laws are harder to enforce than most laws -- or so it would seem to me -- because the question of whether there are Americans that are able to do a particular job at a particular workplace depends on many fiddly details that only the managers of the particular workplace (the prospective defendant in any enforcement action) would know.

When lawyers working on Capitol Hill are serious about stamping out a behavior, they write laws that are easy to enforce (unambiguous, not relying much on human judgment). Something as vague as, "as long as there are no Americans qualified to do the job," suggests that whoever wrote that just wants to reassure critics of the H1B program without caring much whether H1B workers actually displace American workers.
They are. Sometimes people continue to do things even though they're illegal
> - BERT models are smaller and can run with lower latency and serve larger batches with lower vram requirements

The most recent version of Wolfram Language (aka Mathematica) uses by default BERT models for embedding.

(Say, for this function: https://reference.wolfram.com/language/ref/CreateSemanticSea... .)
Scaling laws are not dead. The number of people predicting death of Moore's law doubles every two years.

- Jim Keller

https://www.youtube.com/live/oIG9ztQw2Gc?si=oaK2zjSBxq2N-zj1...
> I now have a test suite that can rebuild my entire app from the ground up

What does this mean?
Farmers, who depend on this sort of thing, have it figured out:

> https://extension.missouri.edu/publications/g2910

Heritability is simply a measure of how much of the variation in a trait, like height or IQ, is due to genetic factors rather than environmental influences in a given population. Could be feedlot steers, could be broiler chickens, could be humans. In humans, traits like height are very highly heritable, at ~0.8. Certain others, like eye color, are heritable to ~0.98.
Funny how I have a talk about the evolution of pypi's security at the upcoming minidebconf this weekend.

I guess I'll have to update my slides :D

But well as a debian developer my advice is to just use debian and completely ignore pypi, so I might be slightly biased.
I even got to K&R. Types, variables, input and output made sense to young me. Pointers made sense but I couldn't wrap my head around why, and then I was stuck with "what next". For years everything next I could find (like writing a windows application) was way over my head and any "step 2" was completely elusive.
This ignores the self-interest of civil servants, which they most definitely have and is the basis for public choice theory.

Building upon economic theory, public choice has a few core tenets. One is that no decision is made by an aggregate whole. Rather, decisions are made by combined individual choices. A second is the use of markets in the political system. A third is the self-interested nature of everyone in a political system.

https://en.wikipedia.org/wiki/Public_choice
Glad I’m not GPs coworker. Time to refactor Gilgamesh.
I had an interview last month from a post there. Dude sounded like he was half asleep and hated talking to me even from the very beginning. He carried it on for almost an hour for reasons I don't understand if he was so disinterested. No rejection email follow up, posted again in November. The rule just says "you have to respond" and he did by interviewing me, it doesn't explicitly say you have to provide direct yes or no answers to going forward.
Right. I've been saying for a while that if all LLM development stopped entirely and we were stuck with the models we have right now (GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, Llama 3.1/2, Qwen 2.5 etc) we could still get multiple years worth of advances just out of those existing models. There is SO MUCH we haven't figured out about how to use them yet.
I just see boxes, not the cuneiform.
Go back a few decades and you'd see articles like this about CPU manufacturers struggling to improve processor speeds and questioning if Moore's Law was dead. Obviously those concerns were way overblown.

That doesn't mean this article is irrelevant. It's good to know if LLM improvements are going to slow down a bit because the low hanging fruit has seemingly been picked.

But in terms of the overall effect of AI and questioning the validity of the technology as a whole, it's just your basic FUD article that you'd expect from mainstream news.