skysight-inc/HackerNews huggingface dataset:
My point was that this is not 20/20 hindsight. A lot of people thought this was a non-starter from the beginning. So far it's panning out the way skeptics predicted. It would be 20/20 hindsight if they succeeded and we starting post rationalizing it.

Also I think people only think from the "what do I gain?" perspective. There is a comment below that asks "what do you think display technology will be like in 20 years?" I won't argue that 2 high res screens that can show my entire workspace where ever I am would not be awesome. I would try that.

But consider all the things you do while you work:

- Eat and drink
- Stare out the window
- Get up and go to the bathroom
- Just have a stretch, spin in your chair.

And now 2 tiny 4k screens strapped to your head is no longer ergonomic and isn't going to cut it. And a cheap and normal screens looks really good.
Likely on this basis:
https://www.bbc.com/news/technology-35038971.amp
It have to do with VR because VR is attempting to replicate reality. If you do that almost, but not quite, perfectly then you're in the uncanny valley. It doesn't have to be about portraying people.

Current VR can't even approach realism -- which keeps it out of the uncanny valley.

However, if the technology improves to the point where the graphics approach realistic, the uncanny valley will become a real problem.
Younger/earlier in career folks are usually cheaper, which companies like.

Though I imagine they could just ask "when was your last algorithms course?" (and possibly where, and what grade you got) and save a lot of time. Or they could just ask "what year did you graduate from (whatever school level)?"

But that wouldn't be as useful for making the candidate "jump through more hoops" and reinforcing compliance as well as status hierarchy - important things at most companies.

And some people may have cheated their way through their algorithms class, so maybe they can be detected if it was recent enough.
It’s not clear if your goal is to not become outdated/replaced, or to learn AI

If you learn to leverage AI for your current role, you will not be replaced because you will be performing better than peers, and you always need an architect to design something even if someone else is building it.

If you want to go into the AI field itself, then you should make sure this is something you want to do out of a desire to learn, not a desire to be replaced, otherwise you will become overwhelmed and unmotivated.

I’d say stick with leveraging AI for rapid development instead of trying to become an AI researcher.. unless of course, it’s passion project and not desperation
My pet theory is that VCs also hold a lot of Amazon stock or perhaps more reasonably: are friendly with people who own a lot of Amazon stock.
Note that the article is not just about Junior Seau. Of the 12 linebackers who played in the USC team he was in, 5 died before age 50, and he was the only one of them with a significant NFL career (another one played a single season, the other 3 never played professional football).
Maybe it's the fact that I have a lot of recruiter contacts on LinkedIn, or maybe it's my engineering field, but I disagree with a lot of the comments here. In the past #opentowork has been a huge help even up until I started my latest role in November. I've never had to be worried about finding a job except when I left government work for private sector.

The amount of recruiters that would reach out once I set myself to open to work was beneficially and notably more significant and I wouldn't have had nearly the number of opportunities presented if it wasn't for that.

I've done this both while still employed and after quitting a position without any noticable difference.

This is a tangent, but dropping resumes to companies directly has proven to be ridiculously time consuming and ineffective for a lot of reasons. If I can get a phone screen, which happens at a pretty decent rate with a recruiter that reaches out first, I've rarely had an issue getting to the next round. There's some pretty good opportunities I've been given just taking cold calls from recruiters, and #opentowork has played a big role in that.

FWIW, my strategy has been to apply to a few companies I want to work at directly, turn on open to work, take recruiter calls while I wait on the companies I initially targeted to respond. I'll focus ~75% of my effort on my targets and use everything else as a backup or opportunity to discover some companies I wasn't aware of.

When I was a hiring manager, the hashtag meant nothing to me. I'd ask everyone why they're leaving their current position and what they expect to accomplish at my company just the same. I'm not getting your performance review from your last company, so all I can go off of is what you tell me anyways. Maybe some references, but those are marginally reliable at best. If you're denying candidates based on a hashtag or profile flair like this you probably shouldn't be in that position, you're not assessing the candidate objectively.

I don't get the "desperate" signal some people are claiming this to be either. If you're looking for a job, why not face the large end of the funnel towards your input? I don't mean any offense, but just my internal take, it comes off as a pride thing to me where you think too highly of yourself to allow external help. It seems like a self limiting outlook with little upside.

That all said, I don't think the numbers in the article have any easily actionable significance. It's a great conversation piece and something to mull over, but there isn't enough information to draw real conclusions on especially given the social and economic changes over just the past few years.
On some phones anyways.
is a website that provides a platform for artists and photographers to share their work for free
I think it’s extremely dangerous to predict the pattern of gains to continue.

Also I’m not actually convinced that there’s much value provided currently. I’ve yet to see a particularly compelling use case, and every time I go to try something that folks are hyping up (image generation, ChatGPT, copilot) I leave feeling like it’s all sizzle and no steak.
Non-amp link https://www.bbc.com/news/technology-35038971
We've been able to do a lot with this:

https://github.com/dshulyak/uring
I began my dive into ML a while back (remember when Data Science was the new hotness?) and quickly realized that a lot of the most interesting work really is "winner take all" in the sense that if you can't compete at the cutting edge of your field, you're really going to struggle to show value to your employers. As someone learning ML on the side with no plans to go all in, I decided just to learn how to use ML models as a tool and continue to focus on my main job as a software engineer.
It's not even that. GPT-4 is clearly not superior either way.

I think it's more about the uniqueness of human intelligence. If you see it as a hard line that defines humans as distinct from other things, then similar behavior that is exhibited by things that are "not supposed to" have anything like it has to be explained away, somehow. Hence the Chinese room argument etc.
In this case they are detecting inverse beta decay events. The antineutrino interacts with a proton producing a positron and a neutron. The positron annihilates with an electron producing two gamma rays and the neutron then captures on a proton and releases a 2.22 MeV gamma ray. I think the only realistic way to determine the direction is by looking at the direction of the neutron by comparing the position of the positron annihilation with the neutron capture, but typically the neutron scatters so much in these detectors that it is not possible to do on an event by event basis (although see [0] for a possible detector that could).

What you're talking about is elastic scattering and I think this may be possible (see [1]), but I don't know of anyone who is able to do this at these low energies.

As a side note, the WATCHMAN collaboration has been studying the ability to monitor nuclear reactors using these sorts of detectors for a while.

[0] https://arxiv.org/pdf/1410.8530.pdf
[1] https://www.osti.gov/servlets/purl/1332127
this might seem silly but it helped me. worth trying if you are feeling desperate: https://imgur.com/a/hlJalHv
Use someone else's address and rob their mailbox.
Hey there! I worked on Dolly, and I work on Model Serving at Databricks. DollyV1 is GPT-J-based, so it'll run easily on llama.cpp. DollyV2 is Pythia-based, which is built with the GPT-NeoX library

GPT-NeoX is not that different than GPT-J (it also has the rotary embeddings, which llama.cpp supports for GPT-J). I would imagine it's not too heavy of a lift to add NeoX architecture support
80K is a good figure in my experience.

If you think about this in latency terms, you are able to insert a row and be done with the entire ceremony in about 12 microseconds. This is serialized throughput too.

I think it is unlikely you would get this kind of performance with a hosted solution across the network. You could cheat with batching & caching, but for a cold, one-record non-query, nothing comes close to the latency of SQLite on a local NVMe device.
AI-generated songs on Apple Music, Spotify breach copyright says music label UMG
> single consumer-grade NVIDIA A6000 GPU with 48GB memory

I wouldn't call an A6000 "consumer-grade" -- it's about $5000 and 99% of consumers that have graphics cards wouldn't have that.

Top of the line consumer grade GPU would be a Nvidia RTX 4090/3090 with 24GB VRAM.
Most countries don't tolerate hate speech where the poster(s) implies a particular group is evil and/or out to ruin civilization or "flush our wonderful culture" or similar. It's not even necessary, as you can say "I'm bothered by somebody doing X because such and such reasons...". Contrast with "Group A does X, and causes big problems because...".

Germany ended up in the middle of a nasty war due to such hate speech.

MTG going around calling everyone "pedos" is disgusting from a law-maker. Maxine Waters is also known to be inflammatory. And I won't even get into the tinted person here.
Ask HN: For those who work in tech and have Autism, how did you find your tribe?
Does the RLHF help with training a LLM model to produce better (more accurate) results for a particular problem domain (eg. Customer support for a particular company) or is it only helpful in training the LLM to be a chat agent in general or a chat agent with guard rails?
I do think generative AI has some really interesting possibilities for interactive media - but I don't see how it unlocks anything.

It's clear there's a market for well-designed and compelling VR chat. VRChat[1] has a large community and had a very active developer community[2]. Facebook had no luck in attracting users in a proven market - there's no reason to believe their products would be more popular after hooking a generative agent up to it.

If you are looking for "the metaverse" in a generic sense - other people are already doing it better than Facebook (and have been for some time). It's been unlocked for years. Facebook hasn't even managed a capable clone, much less broken new ground.

[1] https://hello.vrchat.com/

[2] Until they banned all modding - here's a video of a user using sign language and subtitles: https://twitter.com/TheFoxipso/status/1551640725455982593
100% agree. Way too much time is spent fretting about and trying to micro-calculate carbon "costs", when dollar cost is an excellent first approximation.
Half of the US
https://jalopnik.com/u-s-traffic-deaths-estimated-to-rise-to...
I’m no kernel hacker, but it seems like io_uring is almost being undersold despite the hype. “Async IO” seems like an understatement. It’s (to my meager knowledge) a general purpose syscall batching interface. There could even be more interesting use-cases (like IPC?) in the future.

The genius (and in hindsight almost obvious) idea behind io_uring seems too good to ignore, which makes me hopeful about cross-platform adoption in the long run. That would enable huge simplifications in language runtimes and low-level frameworks, lowering the barrier of entry to high performance IO across the board.
I think Lisp is singled out here because it was the original AI language. The original Lisp machine was very expensive, and it was predominantly purchased by institutions for the purpose of AI research.

My source for this is just tidbits I’ve picked up over the years, so I’m not certain it’s factual.
Maybe surprisingly, junior candidates sometimes rank better at this problem because their Data Structure & Algorithms knowledge is more fresh.

Isn't that in itself is a flag that this is in fact not a great interview question, unless it's being used for hiring candidates fresh out of college, say during campus interviews.
> They were all garbage

No, they weren't. There were excellent ones. What they lacked was enough storage to carry your entire music library with you -- that was the problem the iPod addressed.

But in terms of playing music, the iPod was not exceptional.
I would love to see this being adopted and ported as a alternative, light browser for other "esoteric" OSes like Haiku, legacy OS X, and even OpenBSD (which has performance issues with Firefox)
We stopped white Nationalisms. If not, Communism's death toll would be a joke in comparison.
> BUT where it will happen is when multiple instances of these language models compete with each other.

That's what everyone else is saying already. Not sure what exactly you are arguing against.
“Consumer grade” here means “you can buy it in a store”. (This is not true of DGX devices.)
Computers Are Bad: solving problems with ChatGPT
Good point, but I just went through all my open apps and the only app that had empty toolbar chrome (the top part of a window that has the Close/Minimize/Zoom without anything else on that row) was Telegram and VSCode.

The rest of the apps have app UI on the same row as the Close/Minimize/Zoom buttons which would be hidden by the notch.

But empty toolbars is a good usecase for rendering an app window on the notch. I'm actually surprised how many apps utilize that space!
This doesn't absolve 4chan, but rather damns Facebook.
Rimbaud is an AI-powered writing assistant that offers you personalized guidance. It focuses on enhancing your skills while keeping you in control of the narrative. Your story is worth telling, and Rimbaud is here to help you do just that.
Maybe. Unclear if that’s falsifiable.
I think you are projecting your beliefs onto them. Mixers, privacy chains, and ZK privacy schemes have all been implemented because everyone in crypto acknowledges the lack of privacy.

The WSJ on the other hand…
It is solidly a workstation card that is often deployed in data centres. Consumers are far better off with a 4090.
They aren't really doing directionality, but the WATCHMAN collaboration (https://svoboda.ucdavis.edu/experiments/watchman) is developing detectors like this for nuclear non-proliferation.
We can consider it, but Miele won’t. Their problem is connecting your washer to your phone and going through the cloud has other side benefits for them as well, such as telemetry, so here we are and will be.
Of course the dominant 2FA methods will be those that are easily forged, so the general public will still get swindled (I'm looking at you banks that are insisting on using SMS to "verify" my identity). It's as if nobody cares about the world programmers are creating.
Having the NPC store some notes about previous conversations or look up stuff in the chat history doesn't seem impossible.
Also if you don't want to build a relationship but just chat a bit you don't need long term memory.
I'm so glad there are at least a few people who recognize this. Things like electric vehicles only make sense if they have a lower lifetime total cost of ownership than an equivalent ICE alternative.
The screen is actually taller than 16:10. The space below the notch is itself 16:10, and the pixels to the sides of the notch are bonus as you said.
I think there's probably nothing wrong with training on others' ChatGPT transcripts posted on the open web. OpenAI trains on source-available projects with non-commercial terms, so their lawyers have already been over a similar case and decided it should be fine.
Study Finds High-Speed Rail Increases Happiness
Well I already live in one. Everything I need is within a 15 minute walk.

Supermarket, Swimming Pool, 350 shops, 20 restaurants, train station, bowling, cinema, indoor golf, escape rooms, etc...

All in all, I kinda like it!
It's a little funny how Microsoft DeepSpeed doesn't fully work on Windows
I'm definitely giving this a try sometime soon. I had an idea back when it was just GPT-3 out there, to use LLM-generated embeddings as part of a search ranking function. I'm betting that's roughly how Expert mode works, right?

Edit: Just had another thought. You could use the output of a normal search algorithm to feed the LLM targeted context, which it could then use to come up with a better answer than it would without the extra background. Yeah, I like that.

Although, I will say I asked it about writing a lisp interpreter in Python, because I was just tooling around with such a thing a little while ago for funsies. It essentially pointed me to Peter Norvig's two articles on the subject, which, unfortunately, both feature code that either doesn't run properly or doesn't run right at all. I was disappointed.
I was very interested up until i saw:

> The Matic robot cannot be purchased outright with or without a membership. Membership includes unlimited usage of the Matic robot in your home, with a “cancel anytime” policy. Matic must be returned to us if you cancel your membership.

That'd be a straight out No from me.

I have a low end xiaomi vac/mop at the moment - it does a pretty average job. Will be looking to replace this in the next 12 months and will be spending a bit more this round, but I would never consider renting anything that I intend to use for longer than a couple of months.
The internet (or cloud, if you prefer, mostly the same thing) is just a bunch of computers connected to each other. "Servers" are the big ones in the middle that handle stuff like email and youtube videos

this is not THAT hard yall
I don't ask just one question in a DSA interview.

I ask multiple related questions, and if a candidate struggles with one of them, I probe for strengths in other areas.

No one answer to a question in that interview is a pass or fail. But the interview, holistically, is a pass or fail, or a conditional[1] pass.

[1] I was impresssed by some aspects of the candidate, but there are notable, significant weaknesses. Please determine if other interviewers have detected similar weaknesses, or if the candidate just got unlucky with my particular question.
Been using Linux (Ubuntu-Budgie) as my main desktop OS for well over a year now, with very few issues. On windows for work, most of my time is spent in WSL with Docker, VS Code and a Browser.
evidence of bias is required to establish bias, even if there's the appearance of a conflict of interest, which given the miniscule amount of funding in question here, doesn't even seem to be the case, either.

many conspiracy theorists will say that it's impossible to prove their conspiracy theory (in this case, any actual bias), but that's their problem, not the world's

maybe they can spend more time interviewing, investigating, doing statistical analysis, etc to find any evidence of their conspiracy theories, and less time just coming up with the theories?
Until you buy something you can touch.
While Mio will probably not implement uring in its current design, there's https://github.com/tokio-rs/tokio-uring if you want to use io_uring in Rust.

It's still in development, but the Tokio team seems intent on getting good io_uring support at least!

As the README states, the Rust implementation requires a kernel newer than the one that shipped with Ubuntu 20.04 so I think it'll be a while before we'll see significant development among major libraries.
AIUI the Hybrid Synergy Drive combines aspects of a series and parallel hybrid, for efficiency at both high and low speeds. I think this is the main reason that pure series hybrids are not more popular.
Freaking love his story. Happy to see it here today :)
Fine tuning an existing model won’t get you to GPT4 level quality. You need a larger base model, and lots of fine tuning to have a chance.
Yeah, it's insane. Even my M1 Max is 400GB/sec.
I expect any candidate to be hired to be able to produce code for the brute-force cases, and do the runtime analysis on them.

It's a whole other debate that most software engineers, even at BigCo end up writing CSS code to move pixels only and lose their DSA knowledge over time...
I haven't yet heard a solid general case for why decentralized currency would be an improvement over what we have now. It strikes me as a solution in search of a problem.
I'm not concerned with whether what's covered by the notch is empty or not. Chrome has tabs that would be covered by the notch, but its largely irrelevant, I can still click it or swap to that tab easily enough.

Similar to how the notch doesn't materially degrade video content, despite covering some aspects of the video. We've seen iPhone make the choice to intentionally obscure a portion of app content for years without any major concerns.
> set hard boundaries on responsibilities and accountability while ensuring independent decision-making

This isn't really true as most of the time the services interact heavily and need to be aligned with each other not to break and work properly.

And all what you're speaking of can be achieved by properly modularizing the code of a monolithic application. And microservices if you want them can be run on a single machine, you don't need "the cloud" or multiple computers in general to run a bunch of REST apps if your single instance is powerful enough.

And for most web apps it is with the currently available hardware.
I think online, if you're already learning from online sources (autodidact), an undergrad experience is not going to benefit most applications of a CS degree.

One primary reason is, bereft of an intensely close relationship with the professor(s), they have zero reason to tailor the curriculum to your interests. You're a paying customer.

That said, aim for the Masters along with the undergrad. I feel there is a larger "perception gap" between a Masters candidate and a non-Masters, versus unskilled-but-talented against a CS degree +/- certs. You would be separating yourself into a more favorable pool by having the Masters.

I'll be honest: CS undergrad left in me a hunger that I didn't know I had, and a bit of regret at not diving deep into math. All the really amazing stuff that is CS-related comes after the academics: compilers, concurrency, operating systems, data structures & algorithms, constraints, theorem-proving, graphics, AI, etc.

So as long as you know CS will just get you to learning how to speak English, but now there's the real work of what to read, what to study, and what to "write" (code).

Best of luck :) I envy you are willing to give yourself a second chance!

(With family to consider, I would have also thought of just investing the money too.)
You are confusing the enthusiasts with the people who understand crypto. Both groups existed, but the enthusiasts group made many claims that anyone who had even minimal understanding didn't believe.
Look at the HuggingFace codebase and you'll understand why Bloom is so subpar. Shame that funding money wasn't given to the Eleuther AI team instead.
More applications on my screen at a time?
I think this is a feature to prevent flame wars from spiraling out of control. The reply button is hidden for the first n-minutes on long threads. A thread should ideally get more interesting as it gets longer, if a reply has to be composed immediately, it is probably a sign it is not gonna be interesting, if it can’t wait n-minutes, it is probably a sign it is not gonna be interesting.

https://github.com/minimaxir/hacker-news-undocumented#hidden...