skysight-inc/HackerNews huggingface dataset:
Yeah, you're right. I wrote this a couple of weeks ago at the height of LLaMA hype, but with further experience I don't think the GPT-3 comparisons hold weight.

My biggest problem: I haven't managed to get a great summarization out of a LLaMA derivative that runs on my laptop yet. Maybe I haven't tried the right model or the right prompt yet though, but that feels essential to me for a bunch of different applications.

I still think a LLaMA/Alpaca fine-tuned for the ReAct pattern that can execute additional tools would be a VERY interesting thing to explore.

[ ReAct: https://til.simonwillison.net/llms/python-react-pattern ]
> I want the best LLMs to be open source too

How do you do this without being incredibly wealthy?
Would a small child or plumber know when GPT generates something that’s legally incorrect?
I was a bit skeptical about loading a _4GB_ model at first. Then I double-checked: Firefox is using about 5GB of memory for me. My current open tabs are mail, calendar, a couple Google Docs, two Arxiv papers, two blog posts, two Youtube videos, milvus.io documentation, and chat.openai.com.

A lot of applications and developers these days take memory management for granted, so embedding a 4GB model to significantly enhance coding and writing capabilities doesn't seem too far-fetched.
Julia's latency: Past, present and future
It is all things considered pretty easy to set up GPT such that it runs on its own input forever while being able to interact with users/other systems. add an inner monologue/react and reflexion and you have a very powerful system. embody it with some physical locomotive machine and oh boy. no one has really put this all together yet but everything i've said has been done to some degree. The individual pieces are here. it's just a matter of time. I'm working on some such myself.

What it could do is limited only by its intelligence (which is quite a bit higher than the base model as several papers have indicted) and the tools it controls (we seem to gladfully pile more and more control ). What it can be is...anything. If there's anything LLMs are good at, it's simulation.

Even this system with thoughts we can theoretically configure to see would be difficult to control. theory and practicality would not meet the road. you will not be able to monitor this system in real time. We've seen bing (doesn't even have all i've described) take action when "upset". The only reason it didn't turn sour is because her actions are limited to search and ending the conversation. But that's obviously not the direction of things here.

Can't say i want this train to stop. But i'm under no delusions it couldn't turn dangerous very quickly.
This will be changing soon. I believe Chrome M113 is scheduled to ship to stable on May 2, and will support WebGPU 1.0. I agree it's a game-changing technology.
Perhaps I am not thinking dastardly enough, but why would a bug appear though? All the user can do is click on links that Valve has provided. If the inputs are from pre-defined sources and within pre-defined parameters, why would anything happen? Nothing is being executed on the end-user side, it's all running off the server. All the client does is renders/plays what it is sent.
That's great! You should add that to your FAQs (spell it out specifically).

How do you factor the US taxation at marginal rate (instead of the more favorable long term capital gain tax rate) factor into your ROI comparison between investing directly in India vs an US-based India fund (which enjoys all the tax benefits)?
10yrs from now models will be in the OS. Maybe even in silicon. No downloads required.
Aaaand the issues turned into a shitpost
Honestly, just give me a 3.5mm analog input and call it a day.
Group is (was) a function in various array languages, including K, APL, BQN, J, and Shakti.
Did he? Considering the vast majority of the algorithm is waved away as “ML model”.
Ask HN: Roadmap to Becoming an AI Engineer
I'm in university studying CS. GPT and other developments in AI amaze me and I've been digging really deep into how it works and trying to tinker away at personal projects using it. I've been taking classes in AI and really think that I want to pursue internships/research further in the field.

I get that there's a fundamental difference between ML/AI researchers and engineers, but I'd really love to be working in this domain once I graduate in 2 years.

If you had to give a multi-year long roadmap to becoming an ML/AI Engineer, what would it look like? Are there any online courses/textbooks/university classes in particular you'd recommend to take?
These people are affirmatively voting for these restrictions.

Like, I don't think abortion is murder, but if I did, I'd vote for restrictions even if I could get pregnant. Just like I would vote for restrictions on "normal" murder if it were up for debate.
Bytedelta: filter for the difference between bytes in stream for compression
> Only thing that's really missing is somebody to crack the back of a memory module (perhaps some trick with embeddings and a vector db) is all it takes for this to be AGI.

Here to say I agree with embeddings and vector db for memory systems. However also to disagree this can lead to AGI.
Addition of soft wrap is huge. That was the main thing that kept me from sinking more time into this in the past.
Ok, but what is "tech" in this context?

I can imagine those people being hired for infra stuff in other segments but the percentage seems high for programmer-level stuff.
Great pull request here which improves the algorithm:
https://github.com/twitter/the-algorithm/pull/17
It's just a popular place for remote people. The usual white digital nomad bro who goes there to sleep around. (Plenty of women doing this too btw)

It's a nice spot but it's just for fucking around in your 20's. (Or 30's if you live an alternative lifestyle or are a terrible romantic partner)
I'm no fan of either Twitter nor Elon Musk, but this is a great move and I hope other companies follow what Twitter did here and start open sourcing more core parts like this. Maybe it's mostly useful for learning how it works, not for directly using it in your own product, but the amount of transparency it gives users cannot be understated. As long as that actually is the code they run, but there would be no way for anyone but Twitter to verify that.
This one kind of cracked me up though (2018)... I wonder what their AWS bills are...

https://www.datacenterknowledge.com/h5-data-centers/intuit-s...
One of the docks I had lying around worked perfectly, including the power passthrough. Very cool to plug in one USB and have an instant desktop.
connecting "widely different AI tools" reminds me of the good old pipe operator. Maybe an AI can be an "anything command" for a specific domain and then we just pipe them together so they can each weigh in with their own expertise. ...like an AI team or committee more or less.
They don't need your name, they fingerprint your browser when necessary.
Having anything public at all is wildly better than the nothing that is standard among social media companies.

Let's not focus criticism on an attempt to do something.
is there any way i can try this out?
Whatever Bay Arean mega-corps profiting social bubble tells you it is. Everything else is UNACCEPTABLE!
For a single unit one could have it in their home or office, rather than a datacenter or colo. If the user sets up and manages the machine themselves there is no additional IT cost. The greatest operating expense would be the power cost.
There appears to be a repo for the-algorithm-ml: https://github.com/twitter/the-algorithm-ml
Agreed.

Seemed to only make sense for companies who had no variable cost to use Groupon.

Eg airlines to fill last minute remaining seats. Or museums to drive more foot traffic on historic slow days.
> It's a multi-supplier market and prices are set via equilibrium price discovery.

How familiar with BigQuery and its enterprise uses are you?

There are alternatives to BQ. There are no alternate suppliers. Migrating would have enormous costs associated for any serious/heavy user (the orgs most affected by this change.)
Odds are there will be an economic downturn in the next ten years. Why? Because their usually is. It doesn't need to be a huge crisis. And that is when the Fed will drop rates.
Or an alternative view: no matter what he does there will always be haters and there are massive (political) incentives to destroy his public persona.

Those incentives also align nicely with those of hedge funds that are short TSLA as well as family offices that are short Tesla (hello Billy boy Gates).
I agree. It's one of my biggest gripes with the language. It has big effects on greppability. And by extension, it also has effects on search-engines. Both large ones like Google, and small ones like Github's or StackExchange's built-in engines. Even browser-search on an API document could be problematic.

If I'm looking for some example code that uses my_testfunction(), I can't just search for "my_testfunction nim". Instead I have to add MyTestFunction, my_test_function, MYTESTFUNCTION, etc. The case-insensitivity isn't really a big deal, but the underscore-insensitivity is.

If I'm honest, I think this is a big problem for adoption of the language. It's incompatible with a lot of search-engines, and weird to anybody coming from any other programming language. Nim should take advantage of the 2.0 release to do a compatibility break in this area, maybe with a compiler flag to enable the legacy behavior.
Bring back the PSP!
Trucks make up ~4% of vehicles on the road, 6-7% of vehicle miles driven in the US, and 10% of vehicles involved in fatal accidents. The deaths in those accidents are almost always the occupants of the other vehicle. So it's not at all clear that we are being too restrictive on safety limits here.
co-ops are a thing, as ownership structure in capitalism. some of them are fairly successful.
Obviously not but there are some similar stories in local media, in this case it was a google font, but you'd get a similar fine for adobe typekit or whatever else that's located on a US server or cdn.
https://www.bds-bayern.de/abmahnungen-wegegen-google-fonts/

https://www.sueddeutsche.de/muenchen/muenchen-google-fonts-a...
Coal plants need a lot of water, also. Both coal and nuclear make power the same way--boil water, use the steam to run a powerplant. Nuke is set a bit cooler for safety reasons and thus uses a bit more water.

And note that the safety numbers (coal roughly 1000x as dangerous) are based on current standards, it used to be much worse.

As for PV + battery--get back to us when we have the batteries and the safety numbers involved. We don't, the comparison can't even be made. The closest we can come is solar + wind backed up with gas--something for which I have never seen the safety numbers. Note that the need for multiple generators makes this option a lot more expensive than straight gas.
Pooling resources a la SETI@home would be an interesting option I would love to see.
I don't know, a Tesla got me door to burrito store (6 miles) in the pelting rain the other day without human input. Seems like that's not quite the bar for an outright scam.
Does it show the part where is recommends Elon more than anyone else?
Ukraine commemorates last year's Bucha massacre
The author_is_elon flag doesn't surprise me, but the two political designators are somewhat shocking. I'd sure like to know what changes based on what Twitter knows about your political affiliation.
PSA: Always specify the LLM model
There are many comments here on HN (and elsewhere) where people talk about "ChatGPT" or "GPT" without specifying whether it's GPT-3.5 or GPT-4 (or others even). Then other people point that out and say that if they haven't tried GPT-4 yet, they should.

And there are likely many more where it's not explicit, but a discussion is still taking place between someone who's only used 3.5 and someone who's used 4, and they're disagreeing about capabilities.

And there are other LLM models out there, so "LLMs" is non-specific, which can sometimes cause imprecision or confusion in a discussion.

So it would be great if people who haven't tried GPT-4 yet and are willing and able to do so, did so. And if you haven't, don't want to, or can't, then provide that clarification in the discussion.

In addition, it would help if everyone stopped only saying "ChatGPT" and started saying "GPT-3.5" and "GPT-4". (And yes, there's 3.5 vs. 3.5-turbo, but I don't want to ask for too much.) ChatGPT is mostly a frontend to the models. Of course if that's what you're talking about, or about the customization OpenAI might have made to the models used by ChatGPT, that's fine.

Let's elevate the discussion around this topic together!
I wonder who's on the "VIT" (Very Important Tweeter) list?
https://www.bitdefender.com/blog/hotforsecurity/german-websi...

https://www.sueddeutsche.de/muenchen/muenchen-google-fonts-a...
> It will be painful to get a 50%+ paycut

Technically speaking, it's not a "paycut" if you're not currently getting paid.
> the fines have been rising steadily for repeat offenders.

Yep. Fines rose 7x last year.

https://www.cnbc.com/2022/01/18/fines-for-breaches-of-eu-gdp...

When the GDPR was rolled out, the message was very clear: our goal is compliance, not maximum fines. So first someone has to complain. Then they investigate. If things are not OK, you first get a warning, and if you get your act together, all is good. If you don't, you get a fine, and the fines will escalate.

So it takes a bit, by design and intention. But it will get there, and 4% of global revenue is nothing to sneeze at...
My initial reaction reading this is that you really screwed up somewhere with your infrastructure. A pretty large company needs a Kafka team, a smaller company needs their infrastructure team to have a decent understanding with maybe one person / consultant with deeper knowledge.

Kafka for 99% of developers in the company should be "Can I use our internal library to read/write some topic".
It's not supposition. Every vehicle that has telematics hardware, regardless of subscription status or options purchased, is sending a near constant stream of location, vehicle, and environmental data back to the manufacturer.

The only way to stop it is to disconnect the antenna for the cellular modem or cut its power.
You mean like this?

https://www.chartjs.org/docs/latest/api/

I just started looking at the docs a couple minutes ago to understand why the OP claims that it would have taken a week to accomplish something with this library. I don't get it.
In the MVP, we don't support multiple screens per project yet, but we'll be adding that. For now, we recommend creating one project per screen.

If you want to create another screen by modifying an existing screen, you can duplicate the project. There is a duplicate action if you click the name of the project with the project open, or by right clicking the name of the project from the project list. You can also copy and paste between projects.
> Maybe if it helps, one of the best, smartest programmers I knew hobbled up the stairs with a cane and typed with one hand because he had experienced a stroke. Our entire product relied on this guy, he wrote windows drivers that the software relied on. You got this.

Wow, that story is similar to 2600hz Captain Crunch aka John Draper.

Thank you for the support, warm assertions, and resources. Much love
I haven't read the "algorithm" and this observation might be seriously out of date, but:

for Google Ads, you couldn't easily know what ads would be shown for a given query, without a whole lot of data that's not contained in any code: the experiment settings in the server, for one thing. And the user who's doing the query, for another.

An "experiment" could apply to 100% of the traffic, so it's not really an experiment anymore. And even if you think X has been put into production, there is still a "holdback" experiment, where some part of the traffic does not get X applied to it.
Twitter has this now. The home page is split into two tabs: "For you", the algorithmic feed, and "Following", the reverse chronological feed of just who you follow.
in the same way that flakes address build-time (and hence, nix project) boundaries, i want to easily control runtime boundaries

does a service need to see all of the store? no; just its closure. all of /proc? probably not. i would love to stop caring about secrets in the store

something as heavyweight as a container just to achieve those restrictions almost feels insulting, and something like pledge(2) approaches the problem from the wrong end.

then you take those well-defined boundaries, and you know exactly where you can deploy that service. take advantage of that well-known nix reproducibility, stub out the endpoints, plop it down on your local system, debug it at zero latency, revise it, deploy the fixed version.
I'm not so smart and I don't understand a lot about ChatGPT, etc, but could there be a client side app like Folding@home that would allow millions of people to give processing power to train a LLM?
I doubt it will be the standard. I think it will always be faster to process data using a script generated by the LLM.

One thing I could see is a "self updating" script, that adjusts its logic on the fly when new data are found.
I’m not OP, but I imagine the same instructions apply to any of us wanting to use a photo for something. All of the photos I saw are still watermarked, so I don’t think they’re licensed in a special way.
You can't compare the actions of "male legislative bodies" in red states with opinion polling of "women across the country." Abbott won women in 2022 after signing a 6-week abortion ban. DeSantis did the same after signing a 6-week abortion ban. Obviously, neither politician cares what non-voters, or voters in other states think.

Those "male legislative bodies" were almost invariably elected by female-majority electorates. And Republican women had a huge hand in getting those candidates elected, because they opposed Roe even more strongly than Republican men. https://www.prri.org/wp-content/uploads/2018/09/F2-Evaluatio.... "Republican women" were also "the only group to say overwhelmingly that life begins at conception. About three-quarters said so, compared with less than half of Republican men and a third of Democratic women." https://www.npr.org/2019/06/07/730183531/poll-majority-want-...

And while you're correct that most women, nationally, oppose the most extreme restrictions, most women also support restrictions that Roe didn't allow: https://harvardharrispoll.com/wp-content/uploads/2022/07/HHP.... For example, 75% of women and 69% of men said abortions should not be available after 15 weeks (see p. 41).

What you're seeing with extreme abortion restrictions in deep red states is actually the product of women's political power. Anti-abortion women are among the most reliable voting blocs. While Roe was in effect, Republicans ran hard-line candidates to get those voters to turn out. More moderate Republicans, folks who say supported bans after 6 weeks or 12 weeks, could get on the same side of opposing Roe. When Roe was overturned, you had these hard-line candidates in office, who were significantly to the right on the abortion issue of even most voters in those states.

Coalition politics can often result in elected officials who are more extreme on certain issues than the electorate as a whole. For example, elected Democrats in California overwhelmingly supported Prop 16. But Prop 16 was defeated 60-40 in the referendum: https://newsroom.ucla.edu/stories/prop-16-failed-in-californ....
Navi: High-Performance Machine Learning Serving Server in Rust
Reactors aren't being built in the first place, the lack of building fail-safe designs says nothing.
Well they got about 4 years before I need another car, unfortunately for them my new minimum requirements are going to also include EV. VW id.4 is my current leader.
I don't think you understood what I was saying.

I'm not saying switch isn't better. I am saying checkout was not a bad choice at the time. Git changed a lot of things vs what people were used to. Keeping some familiarity is actually a good thing for adoption. For "finding yourself at home". That does not mean they couldn't have introduced switch right away of course but the rest is history as they say.

Also, I did reference SVN specifically but even they did not invent this interface and some people surely switched directly from CVS to git without the detour. Do I need to me tion RCS? And they even used the shorthand co instead ;)

So after all that said please do read the quotes around "get". I don't "get" why people complain about it. As in most people seem to do exactly what you just perpetuated as well: they completely ignore historical context and complain why something wasn't done ~20 years ago in a way that takes 2023 context into account.

Yeah right.
I wasn’t limiting my comment to AI development.

Humanity has been going too fast for a long time.

Tell me about this singularity belief system. I simply meant something stronger than an inflection point, closer to the mathematical sense than what you must be assuming, but that word must mean something more for you.
For violating GDPR and privacy regulations, to be clear, not anything related to AI xrisk or any of the other types of hysteria in online circles. It will probably be back once OpenAI updates their ToS and privacy policy.
There are no hard and fast definitions of programming or coding. To me they are the same but coding is more like slang. The formal name for both is software development.
This still exists as the Following tab and viewing it is a persistent option. You don’t need to see the algorithm feed (“For You”) ever.
I think an attention/focus system might be applicable. I think humans have the same limitations, with tricks to work around it. As Jim Keller once said on an Lex Fridman interview, a good engineer is one that can jump around between the different levels of abstraction. We think in a high level, then "focus" and jump down when needed.

I think something like this could be hacked together, with summarization and parallel "focus threads", containing prompts that focus on details. These could be pruned/merged back together, to add to the "summary" higher level abstractions.

I use this approach already, to some extent, when a conversation gets too long and I need specific details. I'll start a new prompt, include a high level summary, and then "focus" on specific ideas to get more specific answers about a particular detail.
Yes please! I definitely put my thumbs up in there!
An economist would say the original ticket prices are too low. Fans might complain about a higher ticket price but would you rather the money go to the performer and venue or to scalpers?

What about a dutch auction for tickets? (Start out at a high price and lower it over time?)

How about a high ticket price that gets partially refunded to whoever shows up at the venue?
No doubt that is true, but think you are neglecting the importance of simple messaging. The symbol endures to this day in exactly the same form and for the same purpose. To think this wasn’t heroic effort by many people is cynicism.
How is it possible that any task could take a week or more with this library? It looks extremely straightforward and the documentation contains lots of examples.
So true, and consumers like me could tell businesses hated it and ended up turned off by the entire concept.
I can't pretend to know if this contains the actual ML model code but there is a second repo the-algorithm-ml: https://github.com/twitter/the-algorithm-ml
Sounds interesting! Any way to follow your progress?
This is the only French archaeologist I've ever known [1]. It's nice to supplement the collection in my brain.

[1] https://indianajones.fandom.com/wiki/Ren%C3%A9_Emile_Belloq
I can't think of anything less safe than a fully loaded EV 18-wheeler that is almost impossible to put out when it catches on fire. Also weighs almost 10k more pounds than an ICE equivalent.