skysight-inc/HackerNews huggingface dataset:
> This might sound a bit conspiratorial so apologies for that but back when the competition for Google Assistant/Siri/Cortana/Alexa was super hot, the responses to the various voice assistance was almost eerie in that it could infer what you wanted/needed.

Siri at least was always a simple intent based system that was never very intelligent and very much a brute voice method where someone went in and manually configured patterns for it to recognize.

You can tell by how the API for Siri works for third party integrations.

On a much smaller scale, I’ve done something similar with Amazon Lex (the AWS version of Alexa).

I am not saying the underlying architecture of Siri or Alexa is simple. But how you build on top of it to get it to do things is just giving it patterns for it to recognize and various permutations.

The hardest part is the speech to text once you get everything in text form, the complexity is not that great.
The generator is already maintaining a dictionary containing multiple lists that hold all the primes found so far. Even if it instead kept yielding a list of all the primes so far (rather than the most recent prime) it would take less than twice the memory usage.

I'd say the flexibility to not need to know how big of a prime you'll need is the main draw.
He was also a huge bully at Facebook —- it’s well known that everyone strongly disliked him personally —- and his behavior at SocialCapital was so bizarre that every other partner in the firm quit.
I don't have the opportunity (yet?) to develop professionally in Rust but in the other languages I use, I do tend to include filename + line number information in server logs so that I can immediately find where something went wrong.

So I'm not questioning the why of adding these, but was wondering why '?' doesn't have a way to do this for us already.
Probably gave the name of his beekeeping rival/nemesis.
It’s not happening because 10,000 people who have more intimate knowledge of the business than you or I ever will have made decisions to best suit their current conditions. This isn’t an exception to the rule, you’re just looking at a small timeframe and a remarkably performant company. Why is it so bad for a company to be successful when they have provided so much back to society in the form of R&D? Besides, if I’m doing ML my boss has paid for the card anyway so the price doesn’t concern me.
True. In general, we need maximal amount of investment and new credit/money creation going into innovation and productivity rather than financial asset speculation or consumption. If it mainly goes into consumption, we get inflation without growth. If it mainly goes into financial asset speculation, we get bubbles and crises. But if it mainly goes into innovation and productivity, we get steady and sustained economic growth without crises or inflation.

The problem with cryptocurrency is that it is inherently separate from the real economy, and difficult to use for direct investment into real world innovation or productivity. Right now, new money creation in cryptocurrency goes mainly into digital asset speculation, resulting in periodic bubbles, and then failures of centralized crypto businesses like FTX, Celsius, etc.
Show HN: Eva – An AI Store Assistant for Restaurants
Hello HN!

Introducing "Eva", our AI store assistant designed to transform customer engagement in restaurants. Eva provides real-time interactions, from answering questions to handling orders.

Currently, Eva is integrated with TPass, a platform tailored for bubble tea shops. We're enthusiastic about the initial results and are considering expanding its horizons.

Link to try out or download: https://foreva.ai

We're at an exciting phase of Eva's journey and would love insights on:

- Possible technological improvements.
- Unique use cases you might envision.
- Thoughts on market expansion and broader integration.

Any feedback, big or small, would be invaluable. Thank you for your time and insights!
Check out those Screenshots.

That is the OG Flat UI Design.

MS were well ahead of the curve. Who says MS dont have any taste! ;-)
lmao title sounds like it was randomly generated, only in clown world.
Congrats, you can skim Wikipedia
My takeaway from this kind of thing is that it demonstrates what OpenAI has accomplished as far as managing to be so much "smarter" on average, or even when compared to what Google has available.

My guess is that the amount of RLHF they have done is much more than any other project.
If a car came to a rapid stop, those kids would have been flying through the front window

Nah, Mom would stick her arm out during rapid stops to keep that from happening. No, Mom had never taken a physics class, thanks for asking.
Bilateral, you say?

SIPRI (Stockholm International Peace Research Institute): Countries with an increase in stockpiled nuclear warheads from Jan 2022 to Jan 2023:

China: +60

Russia: +12

Pakistan: +5

North Korea: +5

India: +4

https://www.statista.com/chart/30173/the-countries-expanding...
The signal varies and I think you need to calmly reflect on the data points which is hard. But I can imagine a few scenarios:

Let's say you recognize that you "underperform" versus your capability because you get insanely nervous. At some point you have to realize that your ability to grow depends on your ability to get your nerves under control. How you do that is the next question but that could be one observation.

You can seek patterns of what kind of interviews you tend to fail out on. Eg, is it coding, algorithmic, problem solving, behavioral, whatever. Once you have that zeroed in, you can ask yourself (and the internet): how can I get better at X type of interview.

More generally, you can seek for patterns of what kinds of questions surprised you and you had to make shit up on the spot, but could have been better prepped? EG if you go "hmm let's see" if you are asked about the coolest thing you've worked on or whatever, maybe that's the kind of topic you can pregame and have a story for.

Another maybe subtler thing is reading the interviewer. What are the things you were saying/doing where the interviewer was visibly happy/impressed vs confused, where did they say "that's great, go on" and where did they go "hmm.. but what about.." In the moment you may have just taken the "what about" as a prompt but in reality they may have seen you struggle and tried to help you - what can you do to prep for that type of questions next time?

I can go on - but the conclusion is something like this - I know a bunch of people who every interview they had, they think they nailed it and then they are totally shocked to not advance. And I know people who can reflect on what went poorly and adjust for next time. I don't know how to teach someone to recognize all the signals like this but it's definitely there to be perceived if one looks.
There was a fervent space race before that. Do you believe that anybody forgot about the countless interplanetary missions before that? Every time someone tries to collect data points, someone like you will start accusing vested interests rather than argue the reasons behind the data.

Edit: Added later:

Consider these questions:

1. Russia's lunar missions were all done in 18 years until Luna 24. Why did they then wait 47 years for Luna 25?

2. The US's last lander mission and manned mission was in 1972 (Apollo 17). Why do they want to restart it again after waiting more than half a century?

Or am I making this up too? The simple fact is that the current lunar missions are undertaken by an entirely new generation. Those from 1976 has long retired. That's good enough to consider them as two separate timelines.
> This is a textbook situation that would be perfect for a competitor to come in and undercut.

Is it? A competitor can enter the market and undercut by producing a cheaper and otherwise undifferentiated commodity-type product. Nvidia's focus is adding moats that prevent competing on pure specs such as CUDA, design, and so on.
> With any financial innovation, there's often a cycle: initial excitement, over-extension, contraction, and then matured understanding

I'm a little more cynical, I think the cycle is: a new financial invention comes out, greed causes people to people to pump money into it, eventually the bubble pops or regulators step in. We've seen it time and time again: the dot com bubble, the subprime mortgage bubble, SPACs, and now/soon (IMO) with PE. My question is how many times this has to happen before we stop viewing it as an isolated with specific product and start to see it as a system issue with our financial system.
I am obviously not argueing this case in court here, and expecting the same standard from random HN commentors is not reasonable. The basic facts from my previous comment are accurate and have been widely reported for a long time, and it's pretty clear what's intended. Trying to nitpick on the exact language as some form of "rebuke" is not exactly constructive.
Burning Man Is Flooded
Only 31 right? 16 + 8 + 4 + 2 + 1
Damn! Having to take 36 photos instead of 24! Totally worth the difference for the trouble.
Yes, you’re exactly right. Humanity tinkered with it by deliberately not wearing masks and vaccinating, which caused it to mutate and spread. If only everybody just wore masks and isolated for a couple of weeks, there’d be no COVID at all
Does Princeton not have any meaningful generative AI work or research going on?
Correct, it's 8x 400G cards, one per GPU.
I'm having the same issues with it getting things confidently incorrect.

The flow I've been going through:

* Do this task with this constraint
> GPT4 Does task

* Analyse all of the items and whether they adhere to the constraint
> GPT4 "Apologies, I got some things wrong, here's what I did incorrect"

* Fix the things you did wrong, remember the constraint is of upmost importance
> GPT4 "I have completed the task and fixed the constraint

* Analyse all of the items and whether they adhere to the constraint
> GPT4 "Apologies, I got some things wrong, here's what I did incorrect"

...

At least it can analyse the results, but even then if you don't ask in the right way it will blatantly lie to you and tell you it's all correct when it's not.
I'm a bit surprised this is the only comment mentioning ControlNet.
Thanks! yes it was my first post. Hope people like it and my work on github.
I don’t think a SPAC craze coinciding with exits for a bunch of overvalued startups is random
Bun v0.8
Have you forgotten what your goal is? It is to get ships to zero emissions. Not force a physically nonsensical idea onto the shipping world.

You've already admitted that solar is just $0.02/kWh. You can do the rest of the math and realize that hydrogen will also be very cheap. You're entirely thinking in cliches now. It is "battery = cheap, hydrogen = expensive" despite your own argument contradicting that claim.

In reality, people will just some kind of chemical fuels. If not hydrogen directly, then something derived from it like ammonia or synfuels. It is already happening in fact, and your obsession simply won't happen.
Yeah I guess I outed myself as a Wing Commander fan without saying I'm a Wing Commander fan, huh?

To be brutally honest I've never played a single Ultima game in my life!
I’m a quant. If all you care about is the realized return of a equal-weighted portfolio than sure, just look at mean return. If you’re trying to understand a strategy in depth you’ll want to look at the entire distribution of hypothetical returns, precisely because financial returns are fat-tailed and portfolio returns are often driven by outliers. I don’t know about SPACs, but for common stock often the outlier returns are in small illiquid stocks where you couldn’t take a large position.
Best Practices for Picking PostgreSQL Data Types
The dynamic is completely different in mixed company. It used to be common for men and women to attend different universities. In fact, learning outcomes tend to be better in single sex education [0] and its not really surprising - everyone is more productive and focused. What’s surprising is how we don't realize the effectiveness of single sex education despite research, common sense, and tradition all pointing towards its effectiveness.

[0] https://psycnet.apa.org/record/1987-02510-001
But who will speak for the Varroa mite?
Image is cropped if you go to other sites you can see the full image.
This is awesome. I love this kind of stuffs, especially when it involves pen and paper. Reading the article, and seeing the dates on the notebook, made me felt bad. The author did realize the logic of a better dating system than we use everyday; the Big-endian is, to the best I know, easily sortable, sequential, and likely to be understood by all other cultures.

In normal conversation (either for business or personal), I like to use the "MMM DD, YYYY" format as it is easier to read and there is no ambiguity. While for recording/archiving or appending as part of a file-name, I've found YYYY-MM-DD to be most reliable.
They mean big-endian NaN, taking only the first 3 bytes. No alpha channel.

https://encycolorpedia.com/76b900 says Nvidia green #76b900.
It's not a book about programming but every programmer should read Godel-Escher-Bach
Wall Street banks made a lot of money off of that craze and that’s really the reason number one the Fed didn’t tighten its policy when inflation was flashing red. Never trust the Fed. They merely exist to facilitate monetary policies for Wall Street banks.
>If for some reason I had to take disciplinary action against one of those women and I had good and legitimate reason to do so then I would be at risk of retribution.

Tell me you don't have military experience without telling me you don't have military experience.

This statement is patently absurd.
Lazarus still looks like the classic versions of Delphi, albeit with the version of Windows you run it on's UI elements. So something a little more modern looking for Windows 10/11:

https://wiki.lazarus.freepascal.org/images/5/5d/Windows_10.p...

and classical on Windows Classic:

https://wiki.lazarus.freepascal.org/File:Windows_2000.png
Not to say that we haven't hunted some species to extinction, but the vast majority of how we kill them is habitat destruction through our expanding civilization. Both are factors, but hunting is by far not the primary one.
Sadly it’s more complicated than that.

Back in the 1990s, Microsoft distributed a Netware-killer version of NT called Windows Small Business Server. It was aimed at companies that might at best have a dial-up internet service. SBS, being based on Active Directory and Exchange (etc usw) required a domain name, but back then you needed considerable arcane knowledge to register an Internet domain name, which most SBS users lacked.

So Microsoft recommended that their SBS users should pick a name under .local for their AD domain name. I will not relive the many hilarious fuckups this caused, especially when Exchange was trying to use POP3 for incoming email. [tedu’s comment upthread reminds me of an incident when I spotted a company that was clever enough not to use .local for their AD, but not clever enough to understand that corp.int is not an internal subdomain of corporation.com.]

(What MS should have done, instead of squatting on a name that might get created as a real TLD in the future, was tell their customers to make up a subdomain of a properly registered domain of MS’s own; if MS’s customers wanted to turn their fake domain name into a real internet presence, MS would have had a ready-made lever to turn their customers into subscribers. But that was 15ish years before MS realised Azure might be a good idea.)

OK, so part two of this story is the early years of Mac OS X when Apple needed a replacement for AppleTalk that worked with IP over Ethernet. The main gap that needed filling was zero-configuration service discovery, which AppleTalk had enjoyed forever and IP lacked. The solution was called Rendezvous or Bonjour (I forget which name replaced which) and multicast DNS was a foundational part of it. Apple did an incredibly effective job of getting other vendors (especially printer manufacturers) to adopt the new protocol.

HOWEVER, Apple needed to choose a domain name for mDNS so that names of devices on the LAN could be distinguished from names out on the internet. They chose .local because a LAN is a local area network.

Hence, hilarity ensued. So much confusion and failure to interoperate because two large corporations failed to appreciate the importance of a global shared namespace, and foolishly chose the same cute name to mean completely different things.

Possibly the saddest episode was when Apple were in the process of turning mDNS from a de facto standard (with multiple implementations across multiple vendors) into an IETF standard. MS tried to derail the effort by persuading the IETF to spin up a working group to develop LLMNR, link-local multicast name resolution, TOTALLY NOT mDNS HONESTLY. Surprising no one, there was zero interest in replacing a successful working deployed protocol with slightly differently shaped vapourware. Rough consensus and running code wins again.

The upshot of this is that the IETF has a lot of institutional trauma and scar tissue around the question of non-DNS domain names. (see also .onion and others)
I know you're joking, but don't forget that Metro predated Material Design and iOS 7 by several years :)
> reinstalling Windows 95 to get it working again

Even today, reinstalling Windows is often the only way to get it working again.
Hydrogen can be combined with electricity to make pharmaceutical drugs
They also created a bunch of tech that Americans thought impossible at the time - especially the staged combustion cycle with oxygen-rich preburner. And the American space programme too had its share of human losses due to sheer hubris - the 2 shuttle disasters included and possibly Apollo 1 as well. Let's not understate the achievements of the Russian space engineers and the bravery of their astronauts just because of the current political situation.
(My) downtown is a disease ridden shithole - quite literally: I’ve seen people void their bowels on the street.

It’s a good day when I only smell pot and fentanyl being smoked. Turn off downtown and let me work from home.
They used pigs in that test because scientifically whatever works on pigs meat, it will work the same way on humans, in fact, pork meats pretty much resemble the human ones even in taste, “that human flesh tastes rather like good pork only a bit tougher and a bit more bitter” [1], and also the term “long pork”..

[1] https://allthatsinteresting.com/what-does-human-taste-like
One brand of these is "Funklochstopfer", which extended the Telekom network at this year's Chaos Communication Camp (maybe also Eventphone, but not O2, apparently).
There's a specific disease where it is incredibly easy to think that other fields you aren't an expert in are trivial.
Mapping a measurement from a continuous phenomena to a point on a discrete space I have experience with is exactly applying a heuristic. I’m all for treating everyone like individuals, but I encounter new people every day who want things from me, and I just don’t have time for that. So I use shortcuts and put people in boxes. That’s life. I’m not “armchair diagnosing” anyone, I’m just dealing with people.
Isn’t the “lizard brain” just instinct though? That’s what makes it the lizard brain.
It's very funny that you used Bower as an facetious example. It's been deprecated for almost 6 years!
ORM for reusability, performance is not the primary
Domestic cats are the number one killer of songbirds globally. This is factual.

Some strays used to stalk our bird feeder and I was finding dead goldfinches decapitated. Then we got an outdoor dog.
How much of a problem is performance right now, has anyone mentioned it to you? Has it gotten worse?

I often think about perf as thresholds. It's not totally accurate but if you have reasonable perf, generally going to lightning turbo / "Please the HN crowd because we hate bloat" isn't going to move the needle.
There are several breakthroughs actually, every few weeks, inching closer and closer to the next generation of hardware for ML models with optoelectronic compute.

This is just one of the most recent:

https://news.mit.edu/2023/system-could-yield-more-powerful-e...

Pretty much every single major tech university has their research/VC arm with a hand in photonics for AI.

The initial rollout is around interconnect, but compute is moving along even faster than I'd expected, with significant steps forward occurring frequently.

I'm skeptical we'll be seeing actual quantum computing any time soon for general purpose stuff due to error correction, but for the specific needs of training and running a neural network, it's pretty much the perfect marriage of hardware limitations with task specifications.

So yes, this software trend is going to end up being much cheaper and efficient. By orders of magnitude leaps, not just at the creeping pace of Moore's law.
Thanks for the details. We're also trying to compare GPT 4 vs GPT 3.5 vs LLAMA2 and we've been putting together "exams" though one other thing on our mind is what happens when the next foundational model comes and scrapes our exams and the exam questions make their way into the training set.

This really does make me wonder about all the attempts to administer the USMLE to LLMs -- what are the chances the USMLE administered was uniquely created vs just put together from exam questions online? Ultimately no LLM is required if these exam questions are in the training set...just need a k-v lookup :-)
I'm not a supporter of war mongering by any country. And what I hoped for Russia is what I hope of the entire world. But the assumption that the impact of their war efforts on their economy are similar is completely wrong. Russian economy is in shambles due to it while America goes on as usual.
It seems to me that a big reason for this is the rapid pace of exploit developments. Every system-level tool has to be able to quickly adapt to deal with those security issues, either in its own code or in its dependencies, and these of course bubble up the stack, such that you have to keep updating to protect your users. And these updates somewhat regularly force (or make it difficult to avoid) breaking compatibility. So if you're breaking compatibility in small ways, that makes is easier to say "well let me just make these bigger changes, while I'm already here". And of course there's also the competitive aspects of featuritis.

And this then causes the "Red Queen's race"[0], similarly to animal evolution, where if you don't adapt to the ecosystem, you go extinct.

[0] https://en.wikipedia.org/wiki/Red_Queen%27s_race
all caps on the headlines made me ignore them until I scrolled back up after reading. Web design is hard.
No, that was GPT, GPT-2, and GPT-3.
I'm routinely using LLMs in place of search engines. Would you rather type in a cocktail and instantly get a recipe? or do you want to open google, scroll past 50 ads, click through a bunch of blogspam that gives you the history of cocktails, the prohibition, the chemical formula for ethanol and their life story, followed by a recipe that was itself generated by a substandard AI model anyway

edit: I'm prepared for the enshittification of GenAI, but given competitive edge, many people will pay top $ for faster/higher parameter inference, I'm hoping ad support is minimal on the super deluxe god tier AI subscription which I'll have to pile all of my spare cash into.
Im skeptical about this take. Wikepedia moderation is left wing and has repeatedly published misinformation.
When was the last time an AI product reached 100 million users in a few months?

I seem to have forgotten that locust cycle.
Any instructions on how to do this on iOS? This article is missing the details.
Isn't the goal of an SPAC to basically circumvent the IPO auditing and reporting rules to allow them to scam purchasers^w^w "streamline listing the stock"?
Hmm…that actually sounds like a nice hedge. I’ll keep that in mind next time a similar situation comes up. Thanks.