skysight-inc/HackerNews huggingface dataset:
Is congestion pricing a top 3 political issue for anyone? My guess is people will make a lot of noise, but ultimately won’t care once it becomes the norm. (It’s also been state law since 2019 so it’s passed the proposal stage.)
When I was regularly eating sugar, I was always hungry. I couldn't go an hour or two without having a snack of something.

Ever since I switched to whole food diet, I don't get nearly as hungry and easily go 12+ hours without food without a thought

I think you're underestimating just how hungry people feel
Even if you're right (you're not) whatever "AI" looks like in 20+ years will have virtually nothing in common with these stupid statistical word generators.
Isn't this the plot to the episode "Nosedive" of Black Mirror? Isn't the outcome of such a system obvious? It's very clear that allowing people to rank one another in a way that results in dire economic outcomes results in a deeply bifurcated society, and in this scenario there's no out.
>>> import unicodedata
>>> unicodedata.name('℘')
'SCRIPT CAPITAL P'
>>> ord('℘')
8472

https://en.wikipedia.org/wiki/Letterlike_Symbols

Good enough for me.

Notably, this is distinct from ("MATHEMATICAL SCRIPT CAPITAL P").

> Books were printed in Fraktur, where the p looks quite normal, i.e., quite different from a handwritten Sütterlin p which could explain, why it hasn't been replaced in the publication of Amandus Schwarz.

Indeed. ("MATHEMATICAL FRAKTUR CAPITAL P") is also separate (but also, Unicode considers these mathematical symbols to exist separately from "text written in Fraktur script". So you get separate characters allocated for these symbols, but they're not intended to be suitable for printing in Fraktur - which is supposedly a presentation (i.e. typeface selection) issue.

Personally I'm not convinced that mathematical symbols derived from Latin or Greek (or other) scripts really have any claim to being separate "characters". Surely that's what variation selectors are for?
There are examples where the liberal justices did not disclose as well.

Sotomayor, for example, failed to disclose receiving a free trip [1]

Jackson failed to disclose stuff as well [2]

There are more examples but it is clear that the liberal justices have failed to disclose stuff and have also been receiving trips from billionaires.

[1] https://fixthecourt.com/2022/06/justice-sotomayor-amends-fin...

[2] https://www.scotusblog.com/2022/09/jacksons-financial-disclo...
There's carve-outs in that for open source hobbyists ("not associated with commercial activity"). This was originally vaguely worded but they've now made it a lot less ambiguous, the only open source it covers is that which is being developed by a company which is also making money directly from it.

(And in the case that a company takes that code and uses it in a product, they are responsible to fix any security vulnerabilities but also to report it to the author)
I had this question as well. Anecdotally, I've been on various anti-TNFa drugs for the past three or four years, and I feel like my sleep hasn't been impacted (and if anything has improved). Definitely no insomnia. I can nap like a champ!
Electric Clojure v3 cannot be "Differential Dataflow" because it *seems* to be restricted to DAGs only. Differential Dataflow is highly expressive, it supports iteration.
I don’t think this is strictly true. There are documented cases where, for better or worse, apolitical civil servants undermined politicians. Rory Stewart’s book has some great examples.
my experience must be an outlier. I’ve applied and gotten the job via the “front door” 3 times in my 10 year career so far. This is in the US at large companies, 2 of them with competitive salaries, 2 fully remote. The last one was at the end of 2022, right as the market was turning to shit.

I probably _could_ get a job more easily today because i’ve made connections over 10 yrs. But i’d probably still try the front door first because i’m stubborn lol. But the resume needs to be PERFECT when there’s so much competition, especially for remote roles. Everything on 1 page, needs to be very easy for a hiring manager to visually scan in 10 seconds, to make a quick decision. And obviously add necessary keywords for the stupid “resume filters”. It’s a real chore…

I will say though, there’s something really rewarding about getting the job you want without asking for favors.

It’s tough out there today. Many experienced engineers were laid off, i bet it’s brutal.
> Do you also prefer competition and to make up your own mind about unsanitary food? Unsafe cars? Unsafe airliners and airlines? Where would you draw the line of what is acceptable role of the state?

Cables. I draw the line at cables. I think its a reasonable line to draw.
In Adler’s (How to Read a Book) terms, I think lots of folks don’t naturally learn to do his “third reading”[1] simultaneously with the first two readings (or maybe at all?), and tend to read a book only once, or to read it more than once but doing the “same” reading each time. That plus some assumptions that the social proof of a book getting recommended by, say, Bill Gates and being a bestseller means it must not just be a whole bunch of lazy crap that sometimes contradicts its own citations, can explain a lot of things slipping by a person that, viewed with hindsight, were pretty sketchy.

Certain social science or liberal arts programs are pretty good at, if nothing else, pushing students to get better at that “third reading” and developing a heuristic, automatic sense for when a piece is behaving in a maybe-dodgy way, but I think a lot of other programs aren’t, so even educated people, at least those who don’t just naturally pick the skill up young, may take a rougher road to it, if they ever pick it up. (Yes, I’m aware that my calling out some social science training as a good way to hone that skill is funny, given how much junk science, pop and otherwise, centers around the social sciences)

[1] Adler’s three readings are: 1) coming to terms—that is, seeking an understanding of the basic assumptions, definitions, context, et c, the author is operating under, and the basic thrust or topic or goal of the work; 2) Understanding the author’s argument, message, points and so forth; 3) critical reading—is the message any good? Does it hold together? Are the definitions and premises well-considered, useful, and applied consistently? Does that passage there look a bit iffy, is perhaps worded like the author’s trying to get away with something, and maybe needs a closer look? If such-and-such part crumbles on closer examination or consultation of other sources, what of the rest is salvageable, if any?
are there debugging tools specifically for situations like that?
do you just write code to test manually?
How do you ensure dev builds don't break stuff like that even without considering debugging?
I use ChatGPT the most when I need to make a small change in a language I'm not fluent in, but I have a clear understanding of the project and what I'm trying to do. Example: "write a function that does this and this in Javascript". It's essentially a replacement of stack overflow.

I never use it for something that really requires knowledge of the code base, so the quality of the code base doesn't really matter. Also, I don't think it has ever provided me something I wouldn't have been able to do myself pretty quickly.
what is the difference, really, between the way the word "hate" is used now and the they the word "sin" was used 200 years ago?
Thanks for the article. Great read. Can I ask how you sold the website making $100 month?
Take a look through the original thread. Lots of hot takes didn't age well. Currently processing $14M per month in gross volume ~ $150K/Month.

AMA!
Investigating the Digital Marketing Tactics of Trump and Harris Campaigns
Make it harder to use the original way, push developers to a suboptimal mechanism and deprecate the original way, then eventually deprecate and remove extensions entirely.

"See? This is why extensions are bad!"

It's 100% in Apple's culture to do so. They don't even need to do it deliberately --- just ignore the inevitable bugs that appear.
It's just kind of stupid analysis. And definitely not "the beginning of the end of the Democratic party as we know it".

Biden got 87% of the black male vote, Harris got around 78%. And yes, that is a 9% swing. But there were less voters overall as well. And I'd also hesitate to extrapolate a trend from a single data point. Because Hillary Clinton got 81% of black men. Closer to Harris than Biden.

But when the Republican party showed these "outflows of voters", no one talked about the death of the Republican party.

So, yeah, just stupid analysis.
Then caring about a microptimisation over readability would still be the wrong call
this possibility is discussed in the article and deemed unlikely
> they are not agentic systems that can develop an entire solution from scratch given a specification, which in my experience is more typcical of the work that is being outsourced

If there is one domain where we're seeing tangible progress from AI, it's in working towards this goal. Difficult projects aren't in scope. But most tech, especially most tech branded IT, is not difficult. Everyone doesn't need an inventory or customer-complaint system designed from scratch. Current AI is good at cutting through that cruft.
Nah, my dude. 90's Onion was peak, todays Onion is weak.

https://imgur.com/a/Jhk4CPq
Are we talking past each other? I'm saying: heritability is orthogonal to the question of whether a trait is determined by genetics. There are traits with no genetic component at all that are highly heritable, and vice versa. "Genetic determinism" doesn't mean "a guarantee that a group of genetically similar people will display a trait"; it means "the trait is causally linked to genes".

The semantics matter, because the evidence supporting HBD positions is stated in terms of the technical definition of heritability.

While I've got you, can I ask that you stop evoking "heresy" and "distaste" in this thread? I believe I'm making simple, objective points, not summoning opprobrium on your position.
Amazon Haul, selection of products $20 or less, with most under $10
Blue Origin, AST Spacemobile ink New Glenn rocket launch deal
Consider that you may just not be the intended audience.
For the Eventually Consistent counter, the low millisecond requirement is for reads and writes, not for the convergence of counts. For this category, the convergence is in the order of seconds (user-personalization, feature-gating fall in this category). For the "Best-effort" category, there are some use cases that run experiments in a single-region and need access to current counts at low latencies (they basically add increments and read the value back in the same call i.e. AddAndGet), but are willing to sacrifice "some degree" of accuracy for it. See the table in the 2nd section. There are multiple dimensions in terms of Read/Write Latency, Staleness, Global reads/writes etc. mapped to the two kinds of use cases. Maybe you are conflating a few things. Finally, there is the experimental type of Accurate counters that can get the current count with high degree of accuracy (but the latency there depends on a few things as explained in the article). The last type is more like what can be done using this approach, no current use case for it.
Thank you for sharing this article. The study illustrates something I have tried to explain to people but haven’t found the right words for. As someone with (diagnosed) severe social anxiety, I would rather get a tooth drilled than do a technical interview. That hasn’t been great for my career, as you can imagine. I desperately wish I could just take a written test or something.
watch the Joe Rogan episodes with Alex Jones, keep an open mind and you might see what I'm talking about. I have no problem with the Onion, I get the humor, but the crowds of people horse-laughing and slapping each other on the back because they get the joke so they must be "a club", them I have no affinity for, just like the pearl clutchers who think the Onion is a crime. There is no other implication.
If it becomes obvious that LLM's have a more narrow set of use cases, rather than the all encompassing story we hear today, then I would bet that the LLM platforms (OpenAI, Anthropic, Google, etc) will start developing products to compete directly with applications that supposed to be building on top of them like Cursor, in an attempt to increase their revenue.

I wonder what this would mean for companies raising today on the premise of building on top of these platforms. Maybe the best ones get their ideas copied, reimplemented, and sold for cheaper?

We already kind of see this today with OpenAI's canvas and Claude artifacts. Perhaps they'll even start moving into Palantir's space and start having direct customer implementation teams.

It is becoming increasing obvious that LLM's are quickly becoming commoditized. Everyone is starting to approach the same limits in intelligence, and are finding it hard to carve out margin from competitors.

Most recently exhibited by the backlash at claude raising prices because their product is better. In any normal market, this would be totally expected, but people seemed shocked that anyone would charge more than the raw cost it would take to run the LLM itself.

https://x.com/ArtificialAnlys/status/1853598554570555614
- https://www.businessinsider.com/silicon-valley-swing-toward-...

- https://nypost.com/2024/06/26/tech/a-segment-of-silicon-vall...

- https://www.wired.com/story/donald-trump-and-silicon-valleys...
I'm not sure why you think that. Plenty of CNCF projects, if not all of them, are still developed by the same corporate teams that originally developed them, even though ownership has been transferred. Cilium is still being developed by paid Isovalent employees. I'm pretty sure Kubernetes is still maintained mostly by Google employees. Longhorn and k3s are maintained by SUSE employees. This isn't Red Hat's first foray. They bought CoreOS, which is the company that originally developed etcd, one of the oldest CNCF projects that even predates Kubernetes, and most of its maintainers are still employees of either Red Hat or Google.
There are a number of agentic systems that can develop more complex solutions. Just a few off the top of my head: Pythagora, Devin, OpenHands, Fume, Tusk, Replit, Codebuff, Vly. I'm sure I've missed a bunch.

Are they good enough to replace a human yet? Questionable[0], but they are improving.

[0] You wouldn't believe how low the outsourcing contractors' quality can go. Easily surpassed by current AI systems :) That's a very low bar tho.
I remember having to migrate from the WON system [0] run by Sierra (Half Life 1 publisher) to Steam, as Valve patched their games. This affected all the multiplayer mods, like Counter-Strike and Team Fortress.

At the time it seemed like an arbitrary forced-adoption strategy.

[0] https://en.wikipedia.org/wiki/World_Opponent_Network
NuScenes self-driving dataset visualized in the browser
It's funny that his recommendations - organize code in modules etc. - are nothing AI-specific, it's what you'd do if you had to handover your project to an external team, or simply make it maintainable in the long term. So the best strategy for collaborating with AI turns out to be the same as for collaborating with humans.

I completely agree. That's why my stance is to wait and see, and in the meanwhile get our shit together, as in make our code maintainable by any intelligent being, human or not.
You can always sell CDs without breaking copyright, you can't sell anything you acquired from GOG according to the TOS.
A GOG licence is always personalised. A Book or Record is not.

"3.3 Your GOG account and GOG content are personal to you and cannot be shared with, sold, gifted or transferred to anyone else. Your access to and use of them is subject to GOG’s Privacy Policy and Code of Conduct which are updated or amended when necessary."

So far the TOS of GOG and Steam forbid resale of licensed items, if that's leagal or enforcable is another story.

https://en.wikipedia.org/wiki/First-sale_doctrine
It's not just marketing bullshit though. Microsoft is the counterparty to a contract with that claim. money changes hands when that's been achieved, so I expect if sama thinks he's hit it, but Microsoft does not, we'll see that get argued in a court of law.
We had a guy in class at high school who was a math prodigy,but hated the greek alphabet. He always said things like "If we multiply the symbol that I don't know with the square root of the other symbol that I don't know..." He was proof for me that you can be really good at (high school) math without knowing all the symbols' names.
Place where your future personnel is?
… Is that a defense? I don’t even care about the misgendering nonsense, his child is very much alive. Being upset that your kid is their own person and not your little programmable automaton is, in every way conceivable, bad parenting.

What a weird defense of the dude.
It says as much in the article
Interesting position...

You dont like cancel culture, but support Jones - a person who is literally being discussed for encouraging his followers to shut down the people saying their kids were killed.

I mean the statements about crisis actors and whatnot were maliciously false, and pure slander. But to those who beleived them, Jones was advocating for them to be cancelled - that is they should be stopped from spreading lies and that they should be locked up and sent away.

Odd juxtaposition.
On embedded, debuggers almost never work until you get to really expensive ones.

In addition, debuggers tend to obscure the failure because they turn on all the hardware which tends to make bugs go away if they are related to power modes.

One of my "best" debuggers for embedded was putting an interactive interpreter over a serial interface on an interrupt so I could query the state of things when a device woke up even if it was hung--effectively a run time injectable "printf".

Crude, but it could trace down obscure bugs that were rare because the device would stay in the failure mode.

The bigeest problem was maintaining the database of code so that we knew exactly what build was on a device. We had to hash and track the universe.
I'm certain Satoshi was thinking of Hashcash! But I did mean what I said, though it wasn't until Martti Malmi released his emails with Satoshi that I knew this, and so might not be well known:

https://mmalmi.github.io/satoshi/

> "[this next bit turned out to be very controversial. there is extreme
prejudice against spam solutions, especially proof-of-work.]

> It can already be used for pay-to-send e-mail. The send dialog is
resizeable and you can enter as long of a message as you like.
It's sent directly when it connects. The recipient doubleclicks
on the transaction to see the full message. If someone famous is
getting more e-mail than they can read, but would still like to
have a way for fans to contact them, they could set up Bitcoin and
give out the IP address on their website. "Send X bitcoins to my
priority hotline at this IP and I'll read the message personally."
Yes, ChatGPT's Advanced Voice Mode is great if you don't understand the target language at all and can't catch how far from ground truth it is.
how did it feel when Saudi Arabia stole your handle? https://en.wikipedia.org/wiki/Neom
It won't be efficient as it's python, but it could be readable
LLMs aren't really language models so much as they are token models. That is how they can also handle input in audio or visual forms because there is an audio or visual tokenizer. If you can make it a token, the model will try to predict the following ones.

Even though I'm sure chess matches were used in some of the LLM training, I'd bet a model trained just for chess would do far better.
How many attempts do we need to submit this same story from various outlets? It has been killed repeatedly, for a reason.
> "The theory behind these models so aggressively lags the engineering"

The problem is that 99% of theories are hard to scale.

I am not an expert, as I work adjacent to this field, but I see the inverse - dumbing down theory to increase parallelism/scalability.
Thomas E. Kurtz has died
2 days ago, 47 pts: https://news.ycombinator.com/item?id=42110959

It's not exactly the same URL since TechCrunch seems to have renamed their article title/slug in the intervening time.
If I understand that correctly you're converting file formats? That's not exactly "novel"
Are Large Language Models Consistent over Value-Laden Questions?
Being able to play around with kube files and then just shove them into a my-seevice.kube and execute them via systemd is really neat. The documentation is pretty OK as well: https://docs.podman.io/en/latest/markdown/podman-systemd.uni...

The only downside is that some things are not yet supported in quadlets, and that things don't map 1 to 1 between quadlets and the command line.
I’m only now learning about what OIDC IdP is (for those like me: openid connect identity provider). But from my reading, a self hosted gitlab can function as an oidc idp.

That would be enough control, right?
How practical can they be when current flagship models generate incorrect responses more than 50% of the time[1]?

This might be acceptable for amusing us with fiction and art, and for filling the internet with even more spam and propaganda, but would you trust them to write reliable code, drive your car or control any critical machinery?

The truly exciting things are still out of reach, yet we just might be at the Peak of Inflated Expectations to see it now.

[1]: https://openai.com/index/introducing-simpleqa/
I disagree that it was over hyped. It has transformed our society so much that I would argue it was vastly under-hyped. Sure, there were a lot of silly companies that sprang up and went away because they weren't sound, but so much of the modern economy is based on the internet that it is hard to say any business isn't somehow internet related today. You would be hard pressed to find any business anywhere that doesn't at least have a social media account. If 2000 was over-hyping things I just don't see it.
Does Unifi work like Stripe? Manage all the invoices, payment links, refund etc for merchants?
[dupe] https://news.ycombinator.com/item?id=42138276
I feel like accusing people of being "so dismissive" was strongly associated with NFTs and cryptocurrency a few years ago, and now it's widely deployed against anyone skeptical of very expensive, not very good word generators.
Semi-damascene metallization: inflection point in back-end-of-line processing?
Wait till the AI scammers start calling
I can pick when I go to sleep and wake, I've worked 3rd shift, 9 - 5 and resturant hours with no issue.

Wouldn't a tribe that is able to do as I can have the greatest evolutionary advantage and thus outcompete the tribes requiring specialization like you describe?