skysight-inc/HackerNews huggingface dataset:
Nice analogy.

Successful public health and aviation both require both deep engineering & science, strong top-down policies and enforcement, and robust & knowledgeable on-the-ground personnel.

And of course a public bought-into all of this.

The closest I can think of-prior and surely because I’m a poor student of history—goes back to Roman aqueducts and roads, where so many things had to go right and maintained.
Biggest discussion: [0](62 points, 16 days ago, 90 comments)

[0]: https://news.ycombinator.com/item?id=39717232
We are doing that internally, so I think it is now more a craft than a "product". For example, we look at lot of specific codebase repositories (e.g. GitHub) and try LLMs over the diff just before and after a security code audit was done.

Another one is listening to many social media (e.g. Twitter) posts to sense if there is a business opportunity. SDRs scan the results in an Slack channel manually but based on these signals.

Finally, this is now a workflow but we did this [1] that is a piece in our work.

[1] https://news.ycombinator.com/item?id=39280358
>Sounds like they are proposing reddit shouldn't make money through the content, and die if that is the only path.

I think if you did a deep dive on reddit that covered everything you would see that they have struggled with this issue since they launched. It's really not my problem to solve. I add content. Some of that content has value.

They have lots of gifted supporters in the Y-Combinator family who could think of lots of ways to monetize things and I don't worry about how they end up doing it until it reaches the point where it is not possible to trust that you are interacting with a thread posted by a live person or one that is a repost from a bot farm.

Reddit is over-run with bots now and the average user has no way to know which users are live humans versus bots used to drive traffic. I've always been a "don't piss down my neck and tell me it's raining" type of person. Credibility is key. Reddit needs a way for ordinary users who would like to contribute content - free or paid, I don't care - to recognize bots and other artificial traffic like paid adverts or sponsored posts. Camouflaging users wastes my time when I need to look at post history to decide whether they are real or just karma farming.

In the end I agree with the part about dying if this is the only path for reddit. All good things come to an end. That's why corporations can live forever.
I sometimes think that it's better to take a patent when you undeniably can, and then release the patented tech under a permissive license. At least, this way an unrelated but shrewd party won't have a chance to acquire a patent, and milk / troll everyone.
Can WWVB also be used? And does it have the same issue?

https://en.wikipedia.org/wiki/WWVB
From the anecdotes I hear, it seems dubious from an ethical standpoint because the assertion is almost always that a person cannot think clearly due to add, so they need meds. But how can they consent to taking those meds if they can’t think clearly? Surely researching the cost/benefit and long term health outcomes of a drug like that requires the ability to focus and think clearly. It seems hard to defend, ethically.
This article reminded me of David Mumet’s character, Edmond. In that play things does not end very happily for the main character after he asks himself to many “whys” and starts to do lots of changes on his day routines.
At the end of the article, it becomes clear that author went abroad for a while, which might have inspired the article. Changing one’s environment is indeed a good way to get unstuck - eg some addicts only ever get out of the vicious cycle by moving away and cutting ties with everything/everyone that kept them stuck.

Maybe the rest of the article has merit too, but I’m not sure it’s not a post hoc rationalization.
people just don't like paying for stuff.

Guilty as charged. I won't buy Gillette when Bic works just as well at 1/4 the price.

And I won't steal them either.
That only works to a point I think. If your forum devolves to only having the easily duped people, it becomes a lot less interesting overall (since the content is from the people) and even those people leave.
you misread what I am implying,

based on all past evidence, she never wants to wear makeup, read her works and interviews, I have done it myself,

these arseholes at Glamour made her do it,

she is being forced into a role never wanted to be in, looks disturbing
A "max-plus algebra" is just one example of semiring, one which isn't related to the article.
At my work, I have colleagues who speak English as a second language. Many of them are using LLMs to up their document and other writing.

It’s actually quite awful. It’s obvious the text is LLM generated because of the verbose, generic writing style. It communicates clearly but without substance. Not gonna lie, I secretly judge these people.
In particular, the critical bad decisions were made long before DEI was a thing.
Aren’t agents bottlenecked by the underlying models? I’ve read that the number of “chain of thought” steps needed is proportional to task complexity. And if each step has the same probability p of success, probability of success is p^n, where n is the number of steps needed (potentially high). At a 99% success rate per step and 5 steps that’s a 95% overall success rate. 90% drops down to 60%. Not sure what the real numbers are but this seems like it could be a problem without significantly more intelligent ML models?
Klarna used the OpenAI Assistants API to automate the work of ~7000 support agents.
My absolute favorite has to be the Raspberry Pi 4 Model B combined with the Google Coral USB Accelerator. The processing power and versatility of the Raspberry Pi make it an ideal platform for many AI projects, and when you add the Coral USB Accelerator, you get the power of Google's Edge TPU, enabling efficient execution of machine learning models at the edge.

This combination offers a nice balance of processing power and ease of use, making it suitable for both hobbyists and professionals looking to develop and test AI solutions without investing in heavy server setups. Moreover, the community support for both Raspberry Pi and Coral is excellent, which makes troubleshooting and experimenting with new ideas easier.

Best of all, this setup won’t break the bank, making it a great way to get started with AI development without significant upfront investments.
Source on him/SpaceX disabling Starlink proactively? AFAIK Starlink was never enabled for Crimea (as confirmed by Issacsson, which whether good or bad is not the same as "keeps disabling Starlink internet access".
Try feeding it 8 pages of examples first? Something like this https://atariwiki.org/wiki/Wiki.jsp?page=Advanced%206502%20A...
Yet Redhat and others applied this patch, as systemd is so incapable of reliably launching processes, that it kept killing sshd without it.

What a complete failure of an init system's job, and the patch was applied due to systemd not resolving the issue in another way.

This is the problem with systemd. Way, way way too much complexity.
Android APPLICATION development is typically in Kotlin (and of course Java), but Android OS doesn't contain a large percentage of Java. That's C/C++ land and now increasingly Rust.
Apparently Pieter Levels:
"
Interior AI now has >99% profit margins

- GPU bill is $200/month for 21,000 designs per month or about 1¢ per render (no character training like Photo AI helps costs)
- Hosted on a shared VPS with my other sites @ $500/mo, but % wise Interior AI is ~$50 of that

+= $250/month in costs

It makes about $45,000 in MRR and so $44,730 is pure profits! It is 100% ran by AI robots, no people

I lead the robots and do product dev but only when necessary"

https://twitter.com/levelsio/status/1773443837320380759
Ideally we can make progress on this.

I saw people occasionally do weird things to bypass this, like `let x = 1 in f(x)` manually transpiled to `(lambda x: f(x))(1)` or thank god we have walrus now, so `(x := 1, f(x))` (as mentioned in the original link) is a workaround that is somewhat actually readable.
I don't think actual Paul and 'John' would agree on much but I know what you are saying.
It's all subjective. Reading your linked blog made it perfectly clear for me you built this using tesseract.js. No idea what the other guys are complaining about.
Most researchers do not do their best work during their PhD, but after it. The PhD is simply the training you need for a research career. It's an easy path to disillusionment when PhD students don't realize this (often because advisors don't do a good job helping the students set reasonable expectations and goals).

It's good to be ambitious in problem selection. But a huge part of the training is to learn how to break down hard problems into reasonable increments that you can attempt to solve, one at a time.
Open Source bicyclist warning system with computer vision and mmWave Radar
Corruption is corruption, regardless of who does it. You seem to not care and look at it only with an anti-India lens. I can show you 10 cases of the ED going after BJP leaders for every one now. Does that mean ED is just dancing to the tunes of the ruling govt - whichever it is at the time? If so, then Congress was in power for ~70 years, so imagine the power they wielded against opposition parties.
> Interesting. Does that take into account the mixing of cultures as the generations go by?

It’s using GSS data, which doesn’t identify ancestry in that level of granularity. But I suspect mixing changes the host culture significantly. My wife is of almost completely British American descent. I’m of completely Bangladeshi descent. But because in my culture married couples assimilate into the husband’s family, the kids are being raised with a strong dose of Bangladeshi traditionalism.

> Which "British America[]"? The New Englanders like the Puritans, and later the Adamses? The mid-Atlantic Quakers? The Virginians? The Cavalier enslavers who came from their Carribean sugar plantations to grow cotton? Very different subcultures.

The British America that was the confluence of those British sub-cultures—the things they agreed on and their distinctive conflicts. In particular, participatory self-government reflecting both Puritan small towns and Jeffersonian agrarianism has been supplanted by mass government.

The widespread American attitudes towards government is now similar to those in Bangladesh, which was shaped by half a millennium of Mughal and then British rule. The government is the administrator of a fractious and foreign population. “Democracy” is reduced to merely “voting.”

> My guess is that Trump appeals to a certain fearful, hero-worshipping, authoritarian mindset that's widely distributed among the human population, and whose adherents have far greater ability to communicate and organize than ever before.

That’s close to the same point that I’m making. Every society has conservatives and liberals—these are rooted in psychological traits. Specific conservative or liberal ideologies, however, are rooted in culture. When you change the country’s cultural mix, you change what kinds of political ideologies you need to carry a viable coalition. And when you fragment the culture, politics becomes much more about unifying around things that speak to gut-level reactions across cultures.

The small-government conservatism that would be popular in Rhode Island can’t win Florida. You need to cobble together a coalition of Mexicans in Arizona, Scots-Irish in West Virginia, Cubans and Puerto Ricans in Florida, Germans in Ohio, etc. And Trump is the manifestation of that.
Here's the code to generate the object and check that it works: https://gist.github.com/penteract/8957d7d18a60f021d8d74ef2f4...
The only person I know who successfully employed the "Bored rich person" strategy is Stephan Wolfram.
Is this whole thing just a strategy guide for playing Geoguessr in one country?
This is a great way to explain it. Loyalty to the community. You spend enough time on a sub and you begin to recognize a lot of posters even though you will likely never meet them.
Green Software Principles
Surely one of us here can start a new Reddit.

Call it not Reddit.

The original vision of the site being self funded by users for users is a good one.

I would argue a necessary one. Just look at all the high value discussion being lost due to Reddit being enshittified
tens of millions a day, I sometimes wonder why people take on these false "people are still using __________?" when they know that people are still using twitter and reddit and facebook. Do you have any explanation as to why one would act pseudo-shocked? Is there a point?
I suspect there were relatively few training examples for COBOL. It would be interesting to see the results for a system which had a significant number of such examples in the training set.
Not an issue on mobile!
Do not run ldd on untrusted binaries
I really hate writing these compile/build time conditional things. It's hard to have tests that it's enabled when it should be and disabled when it isn't, especially if it's in the build system where there's no unit test framework.

And that's with the failure party being just accidentally borking it so the test always fails or always succeeds when it shouldn't. You can see why it's a juicy target for malicious actions.
I gave up over a year ago. Best decision ever. It’s just garbage now that gets posted.
I just migrated my blog and popular posts from medium. I noticed a ton of issues as well. What's interesting is that a metric ton of traffic to domain is directed at articles unrelated to me. Somehow medium was serving a ton of content on my domain which is a huge issue for me.
i use pateron
>after taking a look at the account ID's supplied we'd be unable to share more information or amend the actions taken.

That sounds like they're concerned about money laundering/fraud/crime rather than the issue being crowdfunding itself. The basic statement of not being able to talk about it nor amend it is pretty much the banker code phrase for being dropped due to AML. This happens to people - including victims of crime - where Suspicious Activity Reports are sent to the Treasury by financial institutions and along with that being banned without the financial institution lawfully able to discuss the matter further with the owner of the banned account.
I have quit using Reddit. Sad day.

Frankly, I love old Reddit.
I believe you have one zero too much over there

https://www.klarna.com/international/press/klarna-ai-assista...
Modi has become a dictator. Ruthlessly sending everyone to jail who don't cooperate. Note that Modi is an uneducated Road side Tea Seller before he climbed to PM position. Now he wants to keep his power at any cost. Delhi CM, Arvind Kejriwal and Team are the only ones who can topple Modi Govt. Note that Arvind Kejriwal won almost 65 out of 70 seats in each of his wins agains BJP govt. And in punjab this is the same situation. Fake cases are pretty common for anyone stand against dictatorship of Modi
Kitchen appliances don't contain real clocks that keep time autonomously, but simply use the frequency of the power grid. So the solution is not to change the time but the frequency.

During some hours of the night increase/decrease the frequency to let the "clocks" run faster/slower, so they gradually adjust for the next day.

That could even be stretched out over multiple days, maybe two weeks, which would it make much easier for humans to adjust, too.
Musk has completely tumbled down the far-right rabbit hole at this point so I’m not surprised he thinks Ukraine should just roll over.
I don't think ai agents are good enough to replace every job today, but they're starting to nip at the more junior / menial knowledge jobs

I've seen a lot of success come from AI sales agents, just doing basic SDR style work

We're having some success automating manual workflows for companies at Skyvern, but we've only begun to scratch the surface.

I suspect that this will play out a lot like the iPhone era -- first few years will be a lot of discovery and iteration, then things will kick into superdrive and you'll see major shifts in user behavior
I've been a bit disappointed by the AI. I'll admit going in with low expectations (I know about the whole AI summer/winter cycle) and I was blown away that ChatGPT could play Jeopardy! with just a prompt since I remember being blown away by Watson and AlphaGo. But then I had it help me write a letter, and by the time I got it to do anything useful, I basically had to write an outline for it, and then I realized I had already done the hard part. I asked it to write some boilerplate code for an interface to the Slack API in Python, but it used a deprecated API, and it assumed I had a valid token. Turns out Slack has lots of different kinds of tokens and I was using the wrong one, and the AI couldn't help me figure that out. After that, I remembered the story about pain point for radiologists. They don't need help diagnosing cancer, they need help with their internet connectivity.
Not being able to find a job?
Good job I'm not paying for that!
Japan uses a similar system: https://en.wikipedia.org/wiki/JJY

Most typical home clocks will use this signal to set themselves up automatically, which is made easier by the fact that Japan does not have daylight saving time.
That knob is absolutely crazy. It pisses me off. Maybe it makes sense after you try it and figure out how it works, but just presented like that it's insane.
What do the letters mean? Presets you have to look up in a manual?
What is the dot inbetween 1 and 1.5? 1.25 minutes? um... so... 1 min 15 s? seems less likely that I'll ever need to select 5 minutes and 15 seconds than the missing 7, 8 or 9 minutes.
There is no marker? Does the selection light up or something? Is that also how it displays time remaining?
Do you increase the time with 10 minutes for every revolution? Then the placement of the 0 does not make sense to me.
Error-checking and recovery is a potential solution here. Not a well understood one, and might still need higher intelligence than we've got, but-

If your math worked out, then humans couldn't work either.
Make sure you don’t get DDoS’d
Your advice is superb. You can start writing self help books learning people how to make the fire in order for them to achieve the inner joy.
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Looking forward to more 3 Body Problem.

I noticed that Brad Pitt and Rosamund Pike are producers, so I suppose we'll be seeing them, in later seasons (the books stretch across a lot of time).

I was starting to really enjoy The Peripheral, but I understand that it's been canceled.
hack pasword
That was a baller PC for 1994.

In 94 I joined the 100MHz club, my buddy had a 100MHz Pentium and I had a 100MHz... 486 :-(
I’m here to read the comments but I think it is too early to give a statement of fact.
The point is that USA and EU as benevolent actors.
Extra slash in the submission leads to 404. Should be... https://patterns.greensoftware.foundation/
Not sure if this is sarcasm, but the thread was only posted 20 minutes ago and has 9 replies already. I personally am tired of AI/LLM news but it still seems popular from this thread.
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The former is more implausible because Chinese people with that level of English are quite rare, whereas English people able to create a fake Chinese username are not.
I very much doubt that Stephen Wolfram is bored.
For those that love this game (as I do) I recommend "I Love Hue" for mobile.
It would be interesting to feed it a formal language specification of some language it hasn't seen and then ask it write code and see how it does.

That could be a test of reasoning and reading comprehension
On one hand, it'd be super cool to solve the talent shortage in the field, also Cobol code isn't very pleasant to write.

On the other, I'm not sure I'd want tools known for poor code quality, and hallucinations, to write these super critical systems.

Guess there might be a copilotesque productivity booster for human developers, but I think these systems are some of the last places I'd want LLMs to contribute.
I've been disappointed by my few experiments with Langchain's agent tooling. Things I have experienced:

- The pythonrepl or llm-math agent not being used when it should be and the agent returning a wrong or approximate answer.

- The wikipedia and webbrowsed agents doing spurious research in an attempt to answer a question I did not ask (hallucinating a question, essentially).

- Agents getting stuck in a loop of asking the same question over and over until they time out.

- The model not believing an answer it gets from an agent (eg using a Python function to get today's date and not believing the answer because "The date is in the future").

When you layer all this on top of the usual challenges of writing prompts (plus, with Python function, writing the docstring so the agent knows when to call it), wrong answers, hallucination, etc, etc, I'm unconvinced. But maybe I'm doing it wrong!
Kroki – Text to Diagram
I am getting the following error on a 64bit Windows 10 machine:

./bin/pp: cannot execute binary file: Exec format error

Is it because it's a 32 bit binary?
copilot has been useful to me for the boring parts of writing tests, but it needs a lot of review. other than that, dogshit
Not fine, but massively better than sending it to China.

Have you seen the news on the xz backdoor?
I personally use an AI FAQ bot to automate FAQ questions in some of my Discord servers.
It doesn't always work as well as a human answering but it does help, in most cases.
In other words, AI Agents can be very helpful but can only be trusted/useful to a limited extent compared to humans.
I get a lot of value out of Copilot and GPT4 for coding, but that's about it.

It's true that have to wrestle a lot with them to get them to do what I want for more complex tasks... so they are great for certain tasks and terrible for others, but when I'm in Xcode, I dearly miss vscode because of Copilot autocomplete, which I guess is an indication that it adds some value

One unexpected synergy has been how good GPT4 is at explaining why my rust code is so bad, thanks to the very verbose compiler messages and availability of high quality training data (i.e. the great rust code in the wild)—despite GPT4 not always being great at writing new rust code from a blank file.

Part of me thinks in the future this loop is going to be a bit more automated, with an LLM in the mix... similar to how LSPs are "obvious" and ubiquitous these days

On an unrelated note, I also wrote a small python script for translating my Xcode project's localizable strings into ~10 different languages with some carefully constructed instructions and error checking (basically some simple JSON validation before OpenAI offered JSON as a response type). I only speak ~2 of the target languages, and only 1 natively, but from a quick review the translations seemed mostly fine. Definitely a solid starting point
That's a little surprising; 6502 assembly is a fairly popular hobbyist thing, so I would expect the data is out there. It's also mostly pretty simple, but you do have to watch out for quirks like rotating through the carry bit.
2023, discussion at the time [1](217 points, 85 comments)

[0]: https://news.ycombinator.com/item?id=36839800
Agents still very new and nothing that works for production yet.

Specifically on using AI for coding, I wrote about different levels of AI coding from L1 to L5, we are still at L2/L3 stage for mature and production ready tech. Agents are L4/L5:

https://prompt.16x.engineer/blog/ai-coding-l1-l5
What is naive about the point? And what is your argument? You don't make one to read.

To me, this is the same thing we all lived through in the 90s in America when particular political parties were blaming video games for violence:

https://ncac.org/resource/a-timeline-of-video-game-controver...
> I wonder how hard it would be to re-create this in Svelte proper

Honest question: why would you?

It feels like a better architecture for each front-end framework to simply compose an existing best-of-breed library like D3 rather than try to replicate it?