skysight-inc/HackerNews huggingface dataset:
This is what happens when you have an industry full of people "looking for challenging problems to solve" without an ethical foundation to warn them that just because you can build something doesn't mean you should.
OpenAI shuts down Agent running for Mayor in Wyoming
Generate synthetic data for Q&A tasks via instructor in TypeScript
Notice Whataburger marketing in the replies offering free swag to OP for "using the app so creatively"
By more unusable, do you mean more dead? As in LLMs are helping make the Dead Internet Theory real?
Thanks for the feedback, are you using dark mode eventually?
Fortunately though, Hopkins already exists.
Did you mean ROCm? afaik Triton is a python framework that sits on top of CUDA and ROCm.
Nobody needs beautiful flowers.
AMD needs to expand the user base of their GPUs away from gaming and desktop graphics. Buying an AI company that is using their stack for compute is a really good way of learning how to do that. It's essentially now an in-house team to dogfood all of your brand new products and tell your other engineering teams what they're doing wrong.

In my mind it's not about AI per se, but about using the hot use case for GPU to drive meaningful change in your software stack. There are tons and tons and tons of GPGPU users out there who aren't training LLMs but who need a high-quality compute stack.
Are companies hiring enough for this to be viable and to get 20% of first year salary? I thought all of that had died down significantly, but I haven't been following closely.
What? Sorry, "wot"?
I answered your question plainly, but I'll try to go into detail. I have a suspicion that you don't see this as the philosophical issue that AI detractors do, and perhaps that hasn't been clearly communicated to you in the answers you've received, leading to your distaste for them or confusion at why they don't meet your criteria.

I believe that this kind of generative AI is bad because it approximates human behavior at an inhuman scale and cannot be held accountable in any way. This upends the entire social structure upon which humans have relied to keep each other in-check since the advent of the modern concept of "justice" beginning with the Code of Hammurabi.

In essence: Because you cannot punish, rehabilitate or extract recompense from a machine, it should not be allowed in any way to approximate a member of society.

This logic does not apply to machines that "automate" labor, because those machines do not approximate human communication - they do not pretend to be us.
You're right to point out that this is really 'first class JSON', rather than the Pydantic/Jackson type thing where the json barely exists and is immediately transformed into your models and classes.

Thanks for reading the article though, that's cool. I am a daw_json_link fan
LA metro fairbox recovery is like 5% fwiw. Look up median income levels too on that system and you might be inclined to slash fares.
Doesn't do anything. I just get a throbber when I send Cleo a question.
That certain point is in the past. Today, all sorts of private entities send things into space. As launch gets cheaper, private activities in space will dominate, if they don't already.
Qualifier to the GP poster is not deliberate…
Unfortunately the only obvious solution I can think of is to have salaries that can go up and down like the stock market, so that employees are always paid market rates.

But of course that won’t fly at any company. Every employee expects annual pay increases no matter what.
Google brings passkeys to its Advanced Protection Program
https://blog.google/technology/safety-security/google-passke...
What are you talking about with your second paragraph? I can't tell if it's supposed to be an analogy or whether you actually think everyone was smoking opium back then.
People saying “too dangerous to release” usually means one (or more) of three things:

1. “… but if you and your big rich company were to acquihire us you'd get access…” — though as this is MS it probably isn't that!

2. That is only works as well as claimed in specific circumstances, or has significant flaws, so they don't want people looking at it too closely just yet. The wordage “in benchmarks used by Microsoft” might point to this.

3. That a competitor is getting close to releasing something similar, or has just done so, and they don't want to look like they were in second place or too far behind.
The latter I mean, conservative optimization level is benefit to keep idempotency
Also not considered in that amount is the fact that this person has to pay for benefits (healthcare and such) likely directly from this income. This is insanely low when you really think of that.
This assumes that you trust their metric for expected remediation. But in practice, utility companies are incentivized to provide a conservative estimate of how long repairs will take, and to the extent they're training models on the data available to them, the metrics they'll expose to you from their model inference, as well as the model itself, are designed around that conservative outlook.

But by looking at a map, there are clear patterns: if many isolated areas have outages, there may be many points of failure for various neighborhoods, causing a massive queue of crews to repair each area. But if there is half of the state out of power in a contiguous region, there's more likely to be a single point of failure that they're highly incentivized to fix or route around with the full technical staff at their disposal. The map is more likely to give me that insight than their biased spot estimate of timing.
indeed! what a nice, minimal page... that comes with ~1.6mb of javascript.
Even so, I'm assuming this isn't like a normal job where you have benefits, if they're paying for all of that out of pocket, the salary makes perfect sense to me.
The things it doesn't work for are the things that .button doesn't work for either.
Which is great, but doesn’t move the needle of popular perception the same way as large acquisitions and IPOs do.

The start of the startup investment pipeline in Finland has been flowing pretty well. The outputs at the end of the pipeline have been more questionable. Silo’s acquisition is a positive example of activity at that end.
I'm in the same boat here. I'm very not over the Nix learning curve, so I'm left to conclude that it's actually not easy for some projects.

Last time I tried to use Nix to build a dev environment, it did not go well. I wound up in a Turing tarpit of dependencies, as my Python program needed natively compiled libraries and other things to even get off the ground. I kept having to pull in more of the Nix environment/OS to achieve functional isolation from the parent Ubuntu OS. I also ran into problems with online docs and advice skewing wildly from what the CLI options required of me (probably a skill issue).

And that's when it struck me. Docker has pretty much raised the bar for the developer experience. It can achieve the same amount of isolation for far fewer keystrokes, in less time, and (with docker-compose) has a sharable configuration for others. At the end of the day, a container is just a well isolated process whether it's a webserver or a user shell. And really, that's what you need if you're trying to solve repeatability and isolation. As a bonus, if your software is going to deploy as a container, you're that much closer to emulating the production environment (read: fewer bugs).

I like the Direnv concept and have nothing against Nix or folks trying to share the NixOS experience with others. But from a DevEx perspective, my expectations are set at "as easy or easier than Docker."
I too have an agi in my basement, but it's too dangerous to release! wanna give me some cash?
McCusker Subjective Cognitive Impairment Inventory: measure cognitive decline
I’ve never had and noticeable issues using NYT and I’ve been subscribed for over a year, not sure what you’re talking about here
Tangentially related, the most effective way I've found to cope with hard times or relieve depression is to help others in need.
Devbox is really interesting stuff, gonna try it out soon. Thank you!
Project page: https://www.microsoft.com/en-us/research/project/vall-e-x/va...

> "This page is for research demonstration purposes only. Currently, we have no plans to incorporate VALL-E 2 into a product or expand access to the public."
> Structuring the heap into blocks seem quite misguided, imo.

So, how would you keep allocations fast on multi-core hardware?

FTA: “I am targetting embedders with multiple mutator threads, and a classic semi-space collector doesn’t scale – you could access the allocation pointer atomically, but that would be a bottleneck, serializing mutators, not to mention the cache contention.”
That sounds dystopian.
Why Wondering If We Are in an AI/ML Bubble Is Missing the Point
In the most "doomer" possible view of my beliefs, yes, that'd be an accurate description.

I don't know if that will actually come true, of course - human society is pretty resilient in the face of its own self-caused adversity, but currently it does already extract a significant mental and emotional cost dealing with filtering out the "human mimics" on many platforms - especially search engines.
We use peered VPCs at work. We have a central account per environment that has the VPC that's shared to all the other accounts in that environment for databases etc.

To be honest, I'd probably prefer a single account per environment. But managing the IAM for that would be much more work.
Well no, there are some employees that are actively encouraging people to ignore the rules is different than just ignoring the rules.
When we contemplate the edges of what could be, some think "what if I had more money?". Others think, "what if the world was a giant cupcake?". Those second guys are the scifi fans. Those first guys like politics.
Possibly, but we don't yet understand the mechanics of reasoning. What more fundamental components are sequenced to produce the activity of reasoning?

For example, I personally think reasoning is downstream of at least generation and discrimination.
> When you have good enough product with tons of implicit knowledge buried in its source code (see above), it's not easy as it sounds.

I don't doubt that it's hard. But I'm not convinced that it's harder than writing the software in the first place, so that is still a major savings for the competitor (which they could then use to undercut in terms of rates, etc).

As a point of comparison, let's say that SQLite's development team all died in a plane crash. Would a new team throw out SQLite's codebase and start from scratch, because they could never hope to understand the old code as well as something they wrote themselves? No—they'd review the code and documentation and bring themselves up to speed. Maybe they're never 100% as good as the first team, but they'd be quite capable.
Software engineers are not stupid, but in other STEM disciplines they have a reputation of making themselves look stupid because of beliefs like "it's just newtonian physics".
I think he's just being comprehensive.
DDR5 has a bit of ECC built in, but yeah - one of the major problems that Intel created is using ECC RAM support as a feature to sell their Xeon line of processors and so living 99% of the desktop users without ECC.
Few seconds means less than a minute. That’s not nothing. Look at a clock and talk for a minute — it’s longer than you might think.

Do you think you could give a recording of a minute of someone talking to a talented impressionist and they could impersonate that person to some degree? It doesn’t seem that far fetched to me.
The volume and compensation of high paying tech jobs that made all these companies possible doesn’t exist anymore.

There was so much value to be captured that these companies could survive on the sidelines just eating the scraps of tech compensation, and those scraps fed them well. Now the scraps are far too small to support a company.
Passkeys available for high risk users to enroll in the Advanced Protection Prog
The question is about computability, in the sense it's asking to recognize the possibility of an unknown (trivial) computable function.

The "God stuff" is an distraction, with modal-logic ambiguities as another commenter wrote.

I just wrote a regular expression (a real one, not PCRE), and then deleted it, and dissolved my computer in acid. It is completely impossible to ever know what I wrote. Was that function computable?

Then I got another computer and wrote a program in a Turing Complete language, and deleted and dissolved that computer in acid. Was that program computable?
Yeah, it was paper cuts - for example, if you don't have git installed inside your devbox, it wouldn't work because of different glibc versions. Which would be fine, but my shell prompt uses git. So there has to be a nix version of git installed for every project for my machine, despite almost no projects technically needing it.

There were a couple of other libraries, can't remember which ones. I remember once having a fun chain of a library that depended on a library that depended on two libraries that in turn depended on glibc, and for some reason the last link of the chain, only one of the libraries was hitting the system libc incorrectly - that was a fun one to debug. I think I ditched that dependency in the end, it was the only solution (and was clearly badly written).

One of my projects used an older version of ruby. In that case, there was a gem to connect to the database, and that gem links to the db client library, but the db is new and the ruby is old and guess what? Two different versions of glibc, both being used within the nix ecosystem.

I worked around a lot of it with LD_LIBRARY_PATH (I think? from memory) which I had to unset for everything in devbox, and used aliases to set it to a backup of that env whenever I found a binary that needed it - and then they tried to fix that, but it just seemed to stop my workarounds from working, so I had to come up with new ones.

But yeah, it was a wild ride. Most of it came back to glibc or environment variables or both, and probably me doing something I really ought not to do (like support old projects). Alas, for me, it wasn't worth the effort - but I sure learned a lot.
They had their team use AMD to train LLMs
I watched a few videos and found myself analyzing how good swimmers each were and got a lot better at spotting danger by noting who looked good and checking on them less often. So I don't think you need to KNOW the kids over multiple visits, but just constantly scanning for and assessing skill level.
Linux/OSS is cancer. Said who? Anything in public domain is for grab by them.

Until the open tech community is chicken enough to not boycott their no open source stuff such as github and linked in a proof nothing will happen.
Imagining spacetime as a visible grid [video]
AI is the last thing you want involved in accounting. Book-keeping and tax preparation are exercises in precision at a very high level of semantic knowledge. You have to understand why money flows through a company. These are skills the chatbots are proven incapable of demonstrating. Moreover, the parts that can and should be automated already have been for the last 15 or so years, with automatic transaction importing and prefiltering tools (none of which used chatbots).

The average business owner is usually overwhelmed with the backend of running a business by the time they come to me. If a client told me they used accounting software with AI features, the first thing I'd do is fully audit their books and review any filings done using chatbot-affected records.
there's always someone for whom it doesn't
I love doing nothing on the train to work. One of the few times a day I can sit and think my own organic thoughts for a decent chunk of time. There’s something to be said about how modern society sees people fill every free second with staring at content probably designed to influence you against your best interests in some way.
Yup. There's a hojillion jobs out there, and I'm a good engineer. I can find another one if my current one decides to piss me off. I value work/home separation very, very highly. No work stuff goes on my personal devices, and I leave my laptop at the office. You want me on-call, you're gonna be paying me for it :)

But regardless, outside of rare exceptional circumstances (sometimes there's a deadline and shit's gotta get done), I'd recommend anyone to tell their employer to pound sand if they ask for more work from you than you agreed to.
Dola Decoding by Contrasting Layers Improves Factuality in Large Language Models
Assuming you’re making a “web app” and not some simple SSR page, you will have better performance using React over Jquery or vanilla JS. The year is 2024, there are lots of websites where users expect highly interactive pages. Performance is also about way more than just first paint.
There are legitimate uses of this tech, such as preserving voices of people losing them such as Stephen Hawking, or making it better for blind/low vision people to follow text and interact with devices. For that latter case having a more natural voice that is also accurate is a good thing.

I use TTS to listen to articles and stories that don't have access to an audiobook narrator. I've used some of the voices based on MBROLA tech, but those can grate after a while.

The more recent voice models are a lot higher quality and emotive (without the jarring pitch transitions of things like Cepstral) so are better to listen to. However, the recent models can clip/skip text, have prolonged silence, have long/warped/garbled words, etc. that make them harder to use longer term.
What do you mean, can deliver it? This article is specifically about the maiden flight of Ariane 6, which was successful. It's already delivered.
ThreadsDashboard –– A Threads Analytics Tool
It certainly doesn’t help! The underlying culture war tension (IMO) is growing out of city vs rural politics and economic issues, and the two party system naturally lends itself to splitting along those lines.

And having two parties means it’s easy to play us vs them on topics.

Almost anything can be ‘maximally polarized’ into exactly two poles with enough work though - including immigration, male/female issues, business policies, import/export policies, foreign policies (isolationist vs interventionist), etc.

Populism in general is being driven by the same factors everywhere IMO, and many of them are macroeconomic.
We've been using Plausible for over four years at our startup. Always reliable, simple, and fast metrics. Open source is tricky to scale and maintain while also ensuring a consistent income. Happy to hear they're making this change to protect their brand, IP, and ensure a sustainable future for the team.
The lacking math requirements for understanding the Fourier Transform is alarming; the lack of bio electronic feedback diagramming of the human nervous system - and the lack of electrical scientific knowledge in the biological but especially social “science” departments is also scary.
Tailwind reminds me why I'd rather go classless and then write a `custom.css` for anything not covered by semantic HTML.
Looks like they have expertise in using AMD gpus to train LLMs and will be tasked to catch up to cuda
I was watching the Ranma ½ anime on Tubi the other day and just got to the part where Ryoga is practicing the "breaking point technique" which is ineffective against animate targets (though he doesn't know that) but the training involves slamming into a boulder so many times that the trainee is toughened and becomes resistant to attacks (the real benefit.)

Seems like what you have to do to be a power slap winner.
It looks like they don’t have a designer, which is a smell for sure if you were looking for some indication of how serious the place is. It’s not the choice of framework that makes the difference, it’s the fact that it looks like it was made by 1 lone engineer who is doing their best, but still isn’t a designer.
They're only incremental improvements in the sense that developing LLMs is an incremental improvement on stuff that basically worked in the 60s.
I would guess a modern franchise has significant telemetry monitoring. If the location is unreachable, easy enough for the mothership to note the site is having issues.

Can a modern restaurant function without internet access to handle credit card transactions?
Judging by current distribution of interns, coding is becoming a female dominated field. I think this has more to do with pragmatic mindset of asian parents and less with any DEI efforts. How many other fields:

- Are not dangerous or unreasonably physically strenuous

- Pay good money

- Keep you surrounded by respectable, educated people

- Can be mastered in 4-6 years rather than running risk of getting old while still in college

Not saying it's a negative, those are rational factors. We do need to make sure that young men are also able to become successful and equals of female SWEs.
The concern I'm raising is that this legislation opens the door for further reductions in the privacy of location. In what way is that concern not based in reality?
Fun with Positron: Combining the Best of RStudio and VS Code
>Would it be interesting dialogue?

It would definitely depend a lot on the implementation. I think it could work great for some indie dev's. Not all of course, devs that like writing understandably won't like it.
Sir, are you OK??
You are missing the point. Finally, it'll be possible to exploit side-channel attacks without using Javascript in the browser. Static HTML+CSS+Fonts websites won't be safe anymore. Yippieee! Finally, there is no reason to allow disabling Javascript anymore.

And you could add backdoors to hacked fonts that are activated by magic spells. Isn't it great.
Your argument can be applied to the printing press or the automatic loom, and before you say that AI is much more at scale, I do not think that it is any more at scale than producing billions of books and garments cheaply. If you instead say that AI is more autonomous than the prior which require human functionality, I will remind you that no AI today (and likely into the future) produces outputs autonomously with no human input (and indeed, many humans tweak those outputs further, making it more like photo editing than end-to-end solutions). Even if they could perfectly read your mind and output end-to-end, you must first think for them to do what you desire.

Should those machines then be subject to your same philosophies? I'd suspect you'd say "that's different" somehow but it is only because you are alive at this moment and these machines have been normalized to you that you do not care about them. Were you to be born in a few centuries, you would likely feel the same way most do about the prior machines, and indeed, you'd be hard pressed to find anyone who think that future generation's AI (probably simply called technology then) is problematic as you do today. Recency bias is one hell of a drug.
An Open Source Golang Service to Convert SRT/RTPM to WebRTC
OK, either you're not well read at all or clearly trolling. Have a nice day.
Honestly, marketing. Great open source projects die because the creator doesn't know or doesn't want to marketing. Your app looks great which is already way above average in open source so I'm hoping you can succeed in creating a sustainable business already it!
*auxiliary propulsion unit :)

It isn't the same thing as the APU in a plane (where I think most people are getting the 'auxiliary power unit'). The APU here is a secondary thruster which ensures proper pressure (and likely ullage) for the main engine to start.