skysight-inc/HackerNews huggingface dataset:
Very nice. My favorite definition of "blue collar vs white collar" is whether you wash your hands before or after you use the toilet. Not entirely true, but that's the gist of it.
Are the testimonials on your website real or fake? Apple, Flexport, BMW, etc are using evidence.dev?
Yes, shockingly my tween-made definition of adult wasn't very adult. ;)
This is a great reminder of how unexpected success often comes from things we don’t plan for. Focusing too much on perfection can sometimes limit creativity, but you can’t just sit back and wait for things to happen either. It’s all about balance.
To be honest, much of contract law is formal boilerplate. I can understand why they'd want to move their role to 'review' instead of 'generate'
How much of a role does ad-tech play in "bad economic vibes"
I have a masters degree in math/physics, and 10+ years of being a SWE in strong tech companies. I have come to rely on these models (Claude > oai tho) daily.

It is insane how helpful it is, it can answer some questions at phd level, most questions at a basic level. It can write code better than most devs I know when prompted correctly...

I'm not saying its AGI, but diminishing it to a simple "chat bot" seems foolish to me. It's at least worth studying, and we should be happy they care rather than just ship it?
Those weren't tests of whether it is capable of turning off oversight. They were tests of "scheming", i.e. whether it would try to secretly perform misaligned actions. Nobody thinks that these models are somehow capable of modifying their own settings, but it is important to know if they will behave deceptively.
Yes, nothing here is really new.

For inference, trits/sec decoded into L1 cache is a lot more important than random access, and is going to be hardware specific (e.g. what SIMD instructions are available). 8bit seems an odd choice given most available instructions, but the Succincter paper's use of mod and individual decoding is (unless I am misreading it) much slower.
It would be significantly worse, unless there is a very good reason for that (e.g. some app like Photoshop could work that way).

You lose any form of accessibility, inspectability, AdBlocking won't work, in many cases even mouse select/copy-paste won't work..
I found this part particularly interesting:

> Also, with 512 gigs of RAM and a massive CPU, it can run a 405 billion parameter Large Language Model. It's not fast, but it did run, giving me just under a token per second.

If you're serious about running LLMs and you can afford it, you'll of course want GPUs. But this might be a relatively affordable way to run really huge models like Llama 405B on your own hardware. This could be even more plausible on Ampere's upcoming 512-core CPU, though RAM bandwidth might be more of a bottleneck than CPU cores. Probably a niche use case, but intriguing.
> it's literally the cost of a cup per coffee per day

So, AI market is capped by Starbucks revenue/valuation.
a little bit of media coverage here (the top 20 things when I browse /r/all are about this murder)

https://www.thedailybeast.com/leading-medical-subreddit-dele...

a summary containing other social media reactions:
https://www.rollingstone.com/culture/culture-news/health-ins...
I think it's the definition of a moral person, not an adult, but I do like it.
I'm using DuckDB for the first time for this year's Advent of Code and it's been a delightful experience so far. I was looking for something simple to set up and had more advanced functionality than what SQLite supports.
That's not an analogous situation.

It's entirely possible to run a company like Boeing in a responsible way that's still profitable. Indeed, that used to be true for Boeing itself.
His point is that while we're over here arguing over whether a particular AI is "really" doing certain things (e.g. knows what it's doing), it can still cause tremendous harm if it optimizes or hallucinates in just the right way.
> we’ve hired several great engineers who didn’t make it through the process on their first try

That means your process is flawed.
Nice analysis, but you missed the most obvious one, which is also what I was deriving from in the above comment: Pronunciation. The "i" in "bit" is pronounced exactly like the second "i" in "digit" and not like the "i" in "binary", which sounds more like the "i" in bite. So the "it" in "bit" has to come from digIT. Consequently, the most logical shortening for "Trinary digIT" must be TIT.
> Wouldn't you say the same thing for most of the people? Most of the people suck at verifying truth and reasoning. Even "intelligent" people make mistakes based on their biases.

I think there's a huge difference because individuals can be reasoned with, convinced they're wrong, and have the ability to verify they're wrong and change their position. If I can convince one person they're wrong about something, they convince others. It has an exponential effect and it's a good way of eliminating common errors.

I don't understand how LLMs will do that. If everyone stops learning and starts relying on LLMs to tell them how to do everything, who will discover the mistakes?

Here's a specific example. I'll pick on LinuxServer since they're big [1], but almost every 'docker-compose.yml' stack you see online will have a database service defined like this:

services:
app:
# ...
environment:
- 'DB_HOST=mysql:3306'
# ...
mariadb:
image: linuxserver/mariadb
container_name: mariadb
environment:
- PUID=1000
- PGID=1000
- MYSQL_ROOT_PASSWORD=ROOT_ACCESS_PASSWORD
- TZ=Europe/London
volumes:
- /home/user/appdata/mariadb:/config
ports:
- 3306:3306
restart: unless-stopped

Assuming the database is dedicated to that app, and it typically is, publishing port 3306 for the database isn't necessary and is a bad practice because it unnecessarily exposes it to your entire local network. You don't need to publish it because it's already accessible to other containers in the same stack.

Another Docker related example would be a Dockerfile using 'apt[-get]' without the '--error-on=any' switch. Pay attention to Docker build files and you'll realize almost no one uses that switch. Failing to do so allows silent failures of the 'update' command and it's possible to build containers with stale package versions if you have a transient error that affects the 'update' command, but succeeds on a subsequent 'install' command.

There are tons of misunderstandings like that which end up being so common that no one realizes they're doing things wrong. For people, I can do something as simple as posting on HN and others can see my suggestion, verify it's correct, and repeat the solution. Eventually, the misconception is corrected and those paying attention know to ignore the mistakes in all of the old internet posts that will never be updated.

How do you convince ChatGPT the above is correct and that it's a million posts on the internet that are wrong?

1. https://docs.linuxserver.io/general/docker-compose/#multiple...
More bobbies on the beat as UK puts people's priorities first
I used to love to bash on Apple too. But ever since I’ve had the money all my hardware (except desktop PC) has been apple.

There’s something to be said for buying something and knowing it will interoperate with all your other stuff perfectly.
Dark chocolate also tends to be “packed” with lead, arsenic and cadmium.

Funny enough, “organic” certified kinds can end up worse on the spectrum. Sometimes the source of the issue is the soil, other times it gets contaminated during processing.

Spices have the same problem. As well as anything concentrated, like protein powders.
I went down this path very recently as a React newbie, for the exact reasons you stated. It looked like I'd be able to save a bunch of time, and I'm sure I did.

But I also _spent_ a bunch of time as soon as I needed something slightly different to OOTB (or sometimes just wanted to understand how a thing worked better). At that point I ended up digging through Radix code, React library documentation where there were frequently multiple ways of doing the same thing and I had no idea which was "best". I had to delve into some of the more complex (to me, as a newbie) patterns like forwardRef. And this was all for a very trivial site/app that needed some form interactions.

My takeaway at the end was, I'd learnt a bunch of new stuff, which was the point, but that was all workarounds for dealing with the complexities introduced by the tools which were meant to simplyfy my life.

Perhaps for large projects with multiple devs, they bring efficiencies of scale. I think for my next solo project I'm trying Rails or Django with htmx.
I have several local models I hit up first (Mixtral, Llama), if I don’t like the results then I’ll give same prompt to Claude and GPT.

Overall though it’s really just for reference and/or telling me about some standard library function I didn’t know of.

Somewhat counterintuitively I spend way more time reading language documentation than I used to, as the LLM is mainly useful in pointing me to language features.

After a few very bad experiences I never let LLM write more than a couple lines of boilerplate for me, but as a well-read assistant they are useful.

But none of them are sufficient alone, you do need a “team” of them - which is why I also don’t see the value is spending this much on one model. I’d spend that much on a system that polled 5 models concurrently and came up with a summary of sorts.
95%! Isn't that too bitter? One square of 72% works best for me, 85% is pushing it.
Fashion was a major driver (possibly the main one) of the Industrial Revolution. The economics of it kicked off the modern tech-based society we live in today.
It’s like hiring an assistant. You could hire one for 60k/year. But you wouldn’t do it unless you knew how the assistant could help you make more than 60k per year. If you don’t know what to do with an employee then don’t hire them. If you don’t know what to do with expensive ai, don’t pay for it.
and is also exclusively the reason why Sam Altman is lying to governments about safety risks, so he can regulate out his competition.
Less than 20% of practicing physicians are members of the AMA.

As for medical specialty boards, getting board certified is much more like an engineer passing the PE exam than joining a union.

Also collective bargaining with your employer is the primary benefit of joining a union, and the primary purpose of joining a union. Without that function a union would be unrecognizable to the average union member.
That's exactly what "on alert" means.
I have been trying perplexity adn you for search, chatgpt and claude for coding and emails etc.

New clauge and gpt doe really well with scripts already. Not worth 200 a month lmao.
>I can tell if it makes a mistake because... the code doesn't do what I want it to do

Sometimes it does what you want it to do, but still creates a bug.

Asked the AI to write some code to get a list of all objects in an S3 bucket. It wrote some code that worked, but it did not address the fact that S3 delivers objects in pages of max 1000 items, so if the bucket contained less than 1000 objects (typical when first starting a project), things worked, but if the bucket contained more than 1000 objects (easy to do on S3 in a short amount of time), then that would be a subtle but important bug.

Someone not already intimately familiar with the inner workings of S3 APIs would not have caught this. It's anyone's guess if it would be caught in a code review, if a code review is even done.

I don't ask the AI to do anything complicated at all, the most I trust it with is writing console.log statements, which it is pretty good at predicting, but still not perfect.
For me, those high cocoa chocolates taste unbalanced and unsatisfying. I quickly stop easting them and look for something else. If all I taste is dry and bitter, that is not what I am looking for. I want a little cocoa butter smoothness and a little sweet, too.
When was the last time you saw a server with 10GB Ram no matter the number of cores\threads?
That won't limit the chaos. FWIW I went to whole foods downtown today and nearly got hit twice. I live in Midtown, so it's quite literally a 27-block trip. Some of the worst driving (save for on 95) I've seen here has been either 1. idiots on the Beach 2. idiots in Brickell or 3. idiots in downtown.

People here suck at driving.
Linked lightning talk introducing this. I have always had a curiosity around FreeBSD/jails. Will watch this tonight while the snow falls. https://www.youtube.com/watch?v=pggcc6fi-ow
If you don't want to necessarily have to pick between one or the other, there are services like this one that let you basically access all the major LLMs and only pay per use: https://nano-gpt.com/
You surely mean that it's a hobby project and probably won't be big and professional like GNU?
My main concern with $200/mo is that, as a software dev using foundational LLMs to learn and solve problems, I wouldn't get that much incremental value over the $20/mo tier, which I'm happy to pay for. They'd have to do a pretty incredible job at selling me on the benefits for me to pay 10x the original price. 10x for something like a 5% marginal improvement seems sus.
There's a priority for US-based, but it's not a hard requirement. KC-46 was almost the KC-45, that was an NG/Airbus effort built on the A330.
This was our approach too, it worked pretty well. When Covid and the lockdowns hit it all went out the window for us. It was simply to hard to supervise the kids and work as well.

I'm glad that you have made it work for you.
Cancelled around noon Pacific.
I talked to a Palantir guy at a conference once and he literally told me "I'm happy when the media hypes us up like a James Bond villain because every time the stock price goes up, in reality we mostly just aggregate and clean up data"

This is the psychology of every tech hype cycle
Why do you think perks get better when healthcare benefits get worse? Usually they both get worse at the same time due to the same cost-cutting incentives. We'd need some data showing that savings from choosing terrible healthcare plans get redirected towards improving perks in an equal-or-more-valuable way (including for remote folks) in order to justify the former with the latter.

Besides that, most companies can afford free soda with or without terrible healthcare choices, so it seems totally orthogonal: free soda doesn't require bad healthcare choices and bad healthcare choices don't imply free soda.
A super/magical LLM could definitely be worth $1k/mo, but only if there isn't another equivalent LLM for $20/mo. I'll need to see some pretty convincing evidence that ChatGPT Pro is doing things that Gemini Advanced can't.
I read it thinking "banyan tree" until I saw the ASCII art and realized it's a banana reference.
Is there any evidence to suggest this is true? IIRC there was leaked information that OpenAI's revenue was significantly higher than their compute spending, but it wasn't broken down between API and subscriptions so maybe that's just due to people who subscribe and then use it a few times a month.
>Well - you can take it as read they'll probably try to kill others while they are at it.

I don't follow your logic here.

>Did you read the bit where Tetyana Aksenchuk

Again, "Nayirah" "saw" Iraqi soldiers murdering babies.

>drones attacked the ambulances killing a diver. At least the Russians are quite imaginative with their slaughtering the innocents.

Here is a post[0] about a paramedic and an ambulance driver murdered by Ukrainian drone near Sudzha, it gives their photos and names. Are you saying now that "Ukrainians are quite imaginative with their slaughtering the innocents"? Were these selfless people used for "target practice" or what?

Here is another report of Ukrainian attack on firefighting car and on ambulance[1].

[0] https://t.me/readovkanews/85353

[1] https://t.me/readovkanews/76283
I think for mathematicians and certain fields, reading/writing can be slow without effecting productivity, or creativity, but when it comes to a "writer", speed is key. But you make a good point, because for example Newton invented Calculus but only had a quill.
> Personally, the middle options for the first 2 sections (BIT and TRIT via shared vowel) are what I always mentally jumped to. If I was going to stick with "ternary" terminology I think, from a pure mapping of mental mechanics, I'd have ended up on TET (i.e. when there is no shared vowel assume the vowel was from the first word instead of the 2nd). The problem with that being TET conflicts with base 4, leaving you with either the awkward double vowel or the awkward end vowel pull. Or just calling it a trinary digit where you get the same consistency results as from BIT.

If I had been trying to come up with something, I probably would have started with an approach of picking something that was as similar-sounding to "bit" as possible so it would be recognizable and then looking for a justification I could use to argue why it was consistent rather than trying to figure out what the origin of "bit" is and then utilizing the same formula. Interestingly, this would have ended up at basically the same place as you, since I would have first thought of "tit", rejected it due to it not seeming likely to get adopted due to the connotations, and then picked "trit" as the next closest thing.
What's the practical difference? Aren't you doing the same java interop in your app that you would be doing in your wrapper?
Imo the con is picking the metric that makes others look artificially bad when it doesn't seem to be all that different (at least on the surface)

> we use a stricter evaluation setting: a model is only considered to solve a question if it gets the answer right in four out of four attempts ("4/4 reliability"), not just one

This surely makes the other models post smaller numbers. I'd be curious how it stacks up if doing eg 1/1 attempt or 1/4 attempts.
> The USGS's automated systems calculate the location and focal mechanism/moment tensor pretty much instantly from the seismic network.

According to a USGS guy on the news just now, this isn't true. They know the location, and the magnitude, but the moment tensor takes time. Therefore any ocean earthquake 7.0 or above triggers an immediate tsunami warning.
For thousands of years, people believed that men and women had a different number of ribs. Never bothered to count them.

"""Release strategy

Due to concerns about large language models being used to generate deceptive, biased, or abusive language at scale, we are only releasing a much smaller version of GPT-2 along with sampling code .

…

This decision, as well as our discussion of it, is an experiment: while we are not sure that it is the right decision today … """ - https://openai.com/index/better-language-models/

It was the news reporting that it was "too dangerous".

If anyone at OpenAI used that description publicly, it's not anywhere I've been able to find it.
One of my first thoughts was wondering why Bhyve would be needed if it works with Jails, here's the relevant answer from TFA:

> which would allow support for other operating systems besides FreeBSD in a container on a FreeBSD host

Seemless integration with Bhyve so you could run linux-based containers could be a really killer feature IMHO!
They could very well trick a developer into running generated code. They have the means, motive, and opportunity.
This injunction is a trap, and we'll see if the Supreme Court steps in it.

The lawsuit has plaintiffs from all over the US, but each with some tiny roundabout sliver of a connection to Texas. It really should have been filed in the federal circuit of DC, but the Obama-appointed judge used those tenuous connections to say that the 5th circuit was the right place. And since the plaintiffs are spread out, his hands are tied and he has to issue a nationwide injunction. Funny how that works.

Well, if the Supreme Court allows it, all the liberal-leaning districts are going to be issuing nationwide injunction after nationwide injunction over the next 4 years using this same logic.
Surprising?
This isn't a test environment, it's a production scenario where a bunch of people trying to invent a new job for themselves role-played with an LLM. Their measured "defections" were an LLM replying with "well I'm defecting".

OpenAI wants us to see "5% of the time, our product was SkyNet", because that's sexier tech than "5% of the time, our product acts like the chaotic member of your DnD party".
> Maybe even a compiler that takes something like Xcode's Interface Builder's .nib files

Please never let this happen.
Amazing the punishment is a bribe itself.
I completely agree. I don’t think the paper is practical either; I shared it only to show that random access is possible in theory.
> The most shocking aspect of this murder is the fact that I S&P 100 CEO did not have any kind of security around, especially being from an industry that deals with so sensitive business like insurance.

Brian Thompson was not a "S&P 100 CEO" (that's UnitedHealth Group, whose CEO is Andrew Witty), he was the CEO of a subsidiary (UnitedHealthcare).
None of those are unions. They are lobbying organizations and certification bodies.

The vast majority of doctors aren’t even members of the AMA.
User-friendly Rust driver for Pimoroni GFX Pack with single-line initialization
I guess we're both grasping then. Either way, these cases are not equivalent and there is no point in wasting time over something so miniscule. And, for people who aren't even running for office at that.
> https://i.imgflip.com/3gfptz.png

Yoink! That is mine, now, along with vector-soup.
I use xargs -P every weekend to back up my (Oracle) database.

It has 510 files that are around 2gb, and the parallel script uses rman to make a datafile copy on each one, lzip it, then scp it to my backup server.

I have xargs set to run 10 at once. Could I increase to 192? Yes.
This right here.

I currently live in Miami. I've lived all over the country. I'm from NYC burbs. I thought NYC drivers sucked before I moved here almost a decade ago.

Miami's drivers are horrible, mostly because most of the people here have never been trained to actually drive.
Why would the Android give a notification for a tsunami that never happened?

Androids also give tsunami warnings, when appropriate. There was 1 issued just a few weeks ago after an off-shore earthquake in SoCal.
Responses to input should be immediate and should assure the user
What are your ground rules for user interfaces?

Here are some I decided on:

1. Responses to input should be immediate and should assure the user of which input occurred

2. Once displayed, controls should not change position without user input

3. Buttons should be unambiguous

4. Selections should be unambiguous

5. Controls and content should conform to accessibility standards

------------------------------------------------------

Story time for #1: My Mom's Fire TV

"Alexa, channel 11"

The TV does nothing

A spinning animation appears (Loading ~something~ but what? Did it even hear me correctly?)

A half minute later, the TV arrives on channel 11

^^^ This is particularly problematic when you get the command wrong.

------------------------------------------------------

Story time for #2: Azure Portal

Load Application Insights (a log viewer)

Go to click on a filter...

Filter button moves, is now replaced by an ~Install Snapshot Debugger~ button

------------------------------------------------------

Story time for #3: Google Chromecast (and every streaming app ever)

Watch TV show

Pause TV show

Mess with the settings

Try to resume the video. Which button is selected? ~I DON'T KNOW~
You can also saturate your network link as well. I do like these improvements, but I’m old enough to know it’s always a game of “move the bottleneck”!
I mostly eat 90% and now find 85% too sweet (but 100% too bitter).
I think our taste just adapts to the level of sweetness after some time.
oh fun, a guessing game :|