skysight-inc/HackerNews huggingface dataset:
General long term workforce participation by those not in specialized or career fields has been overall declining since the mid 2000s. 2012-2017 saw a spike in specialized field jobs thanks to online media, but career positions continued to decline in overall numbers while still being occupied [1]. In general labour the trend has been to reduce staff sizes, drive more hours per day per worker, and reduce overall weekly hours [2]. Which naturally results in fewer job positions.

There is no recession coming up, because the truth is we never escaped the one that occurred in 2008 to begin with. We've just been covering it up.

[1]https://www.bls.gov/news.release/jolts.nr0.htm
https://www.bls.gov/charts/employment-situation/otm-employme...

Career positions in government and finance were stable in hiring and retention if slightly reduced month over month, while non-career positions such as retail reduced in number.

[2]: https://www.epi.org/publication/irregular-work-scheduling-an...
In 2021-2022, everyone was hyped about crypto. SV too. But even so, the crypto to non-crypto ratio is much lower in SV than in Taiwan (and Asia in general such as HK, Taiwan, Singapore, Thailand, Vietnam, South Korea).

In general, people in SV are far more skeptical of crypto.

Asia is/was doing a lot of crypto because the people and governments there perceive it as an opportunity to build their own tech communities, like Silicon Valley. They can't catch SV in traditional tech companies, so they want to jump onto the next "big thing". What the governments don't understand is how crypto is only used for exploitations. And crypto companies are notorious for overselling the use cases and "technology" of blockchain since that's how they make money: marketing before building.

This is why I encourage Taiwan's tech scene to not waste talent on blockchain/crypto.
Anyone up to count sprinkles?

Let's see if this simulation worked in real life!
Yeah, it seems super weird this Alex guy didn't just send them some kind of brochure or information of "These are all the services Chase offers to businesses, give us a call".

Also, the implication that the Alex guy was fired or something because a customer decided to switch banks seems to only indicate that Chase has a toxic internal culture. Customers switching banks is not unheard of...
Pleasantly surprised at it catching a memory leak:

https://whatdoesthiscodedo.com/g/28d19ac

Although, I should add that it incorrectly states that the last memory allocation will be preserved. It will not be preserved since the pointer goes out of scope.
> It found a model. That doesn't mean it can use the model.

It used the model in the only way that was investigated. The researchers tested whether the AI would invent a (known) model and use it to predict valid moves, and the AI did exactly that. They didn't try to make the AI strategize, or invent other models, or any of the things you're bringing up.

If you want to claim that AIs can't do something, you should present a case where someone tried unsuccessfully to make an AI do whatever it is you have in mind. The Othello paper isn't that.
HashiCorp is one of the most Open Source friendly companies out there. Most of their stack is open sourced, open, and very fairly licensed. I'd say HashiCorp is an exemplar.
AI copies everything, except copyright notices. Curious why is that?
metafilter.com

aldaily.com

marginalrevolution.com

mjtsai.com/blog

boingboing.net/blog
Dewars dispute with Nobel reminds me of the dispute between Thomas Edison, and George Westinghouse. Except in this case the patents for a little more clear.
Makes one wonder what it takes to be designated Tier 5. On percentage of global GDP basis, surprisingly to laypeople JPMC hardly makes a dent measuring by AUM, but I’d like to see the total transaction value run through them tallied as a percentage of global GDP.
I never run into those issues. I use about 6 courses, and the English sentences have always been grammatically correct.

There's nothing wrong with memorizing example sentences. Your brain is not a digital memory bank, memorizing is impossible without forming some deeper understanding on the fly.
It seems clear that the recent golden age of AI research is behind us. OpenAI fired the first shot, and now every company is scrambling to put every dollar out of their budget into productization/weaponization of the tech. There is zero incentive for anyone to publish papers, models and weights now that guarding them as trade secrets is infinitely more valuable. It isn't researchers calling the shots now but but PMs.
I think we mostly agree here, since for your brother those 10-30 years would work perfectly for him! China breaking copyright is NOT an argument that copyright is good, quite the opposite, it's a statement of how broken it is.

About the inheritance I disagree, when you are a farmer and sell a potato you sell it once and then it's gone, if you are a carpenter you make a furniture piece and sell it and its gone. Why should art be a "legacy" that can be kept selling forever?
I recommend reading these comments! they are so heartwarming
AI is the equivalent of power construction vehicles being invented, the real value is creating new styles or art that can let you generate a whole swath of something very quickly. Eventually humans will crave 'new' art, and the people who create new styles or data for the AI will be the ones

The problem with 'keeping it' will be not having new styles copied.

The computer was the bicycle for the mind, and AI is the trailer truck of the mind.
When you download a couple epubs from a torrent site, you're an evil pirate stealing books. When you're a FAANG-affiliated AI company and you download all the ebooks and charge for the derivative works your algorithm produces, you're a visionary changing the future.
Call me a Luddite.

No. AI is not the oracle at Delphi.
It’s built natively into the Bing and Edge mobile apps now
Making the same preparations as I have for every other prediction of apocalypse in my 62 years: none.

Read up on the long history of wrong predictions of existential threats. When I was a kid in school we practiced for nuclear bombs by crawling under our desks. Of course anything might happen, and so-called AI will have unknown effects, but we’re probably more likely to see more fraud and advertising than the collapse of democratic civilization.

I’ll watch Doomsday Preppers for the entertainment of seeing people center their lives and the lives of their families around unlikely events and unpredictable effects.

Good to see Henry Kissinger talking about existential threats, something he has personal experience with. I’m writing this from Saigon, a place with first-hand experience of Kissinger’s expertise.
It answers questions in a voice that isn't yours.

The "most likely response" to text you wrote is: more text you wrote. Anytime the model provides an output you yourself wouldn't write, it isn't "the most likely response".
Society has been on the brink too many times in my lifetime for me to take it seriously anymore. Worst comes to worst I go on a very long camping trip which I honestly would would not be too upset about.
Because the phrase 'language model' (or rather 'large language model', LLM) is not a post-hoc classification arrived at by some digital anthropologist examining a black box. It's a description of the tool that OpenAI set out (successfully!) to build. That you are ascribing additional properties to it is exactly the kind of thing I'm talking about - it's so convincing that it's tempting to think that it's reasoning beyond its capabilities, but it's not. Can you cite specific examples of things it's doing besides producing text? It's generally terrible at maths (as you would expect).

Without wishing to diminish the importance of this work (because it is genuinely incredible and useful in all kinds of ways), we still need to remember that under the hood it's really an elaborate parlour trick, a sort of reverse mechanical turk pretending to be a brain. More interesting I think is the question of how much of human intelligence is likewise this kind of statistical pattern matching; it seems to me increasingly that we're not as smart as we think we are.
Ex-Googler here. I'm kind of surprised Google leadership lets themselves get bullied so hard. E.g. when Diane Greene lied several times about the nature of Google Cloud's involvement with the Air Force, a ton of employees complained, but it's not like they quit the next day. The retention numbers were always very smooth curves seemingly unaffected by the drama of the day. If you went around and talked about the latest thing, 80% of employees had no idea what you were talking about.

It's kind of cynical, but if Google management doesn't want activism, they should ignore their employees, wait for the activists to burn themselves out and quit, and then be happy with all the paycheck collecting cogs that remain.
By that point he wasn't in charge of finances.
That's a really interesting observation. I was trying to figure out when the tenor of the comments was so hot (especially relative to the two previous times this piece has been discussed on HN), and it didn't occur to me the title may very well have played a role -- but on reading the comments here (and especially, the fixation on the number), that makes a lot of sense. Thanks for burying the thread; there was more heat than light on this one for sure!
White hats will become millionaires overnight
> had
I wanna know how he managed to initiate a wire for $35MM online (and approximately 100% of account balance), presumably to a brand new recipient, and only got a single phone call and the wire request wasn't rejected. Maybe things have changed, but my experience now is that I'd have to go into a branch to do that wire, and I'd probably get the normal verification call plus another from the account manager.
We have come full circle. Clippy is back.... "It looks like you're trying to write a letter to your wife, would you like help with that?" OMG
I'm genuinely curious how you think artists should be compensated for their work.
I kind of thought even the second option here was pretty much a given these days.. Is it even more conspiratorial than the third?
Managers overlook how difficult it is to create a good remote culture. It's harder than in-person, but it's possible. Gitlab (which is a full-remote company) wrote a full PDF manual on this and some blog posts. I think they're a good starting point and managers should take some nomes.

I hope more books and strategies on this gets popular overtime. Working remotely on a company with a good remote culture is an amazing experience, it's not the same as the forced remote work we had during COVID-19 quarantines that some companies are still replicating.
Books are bicycles for the mind, computers are cars, and AI is the computer of the mind - which makes travel (thought) increasingly less necessary.
Are you working for Apple? If yes, you should disclose. This term "impactful work" makes me and many people here cringe. Can you provide some specific examples?

Second, you spoke about revenues. What matters is profits. Walmart has insanely large revenues, but modest profits, due to very tight margins.

And, about Apple's profits in 2021 and 2022, I googled: "apple profits 2021 and 2022". Top hit says: "Apple annual gross profit for 2022 was $170.782B, a 11.74% increase from 2021." Ref: https://www.macrotrends.net/stocks/charts/AAPL/apple/gross-p...
When albertgoeswoof reasons about a puzzle he models the actual actions in his head. He uses logic and visualization to arrive at the solution, not language. He then uses language to output the solution, or says he doesn't know if he fails.

When LLMs are presented with a problem they search for a solution based on the language model. And when they can't find a solution, there's always a match for something that looks like a solution.
I think it’s not very hard; if the AI companies believe the data they trained on is public domain/open because they scraped it of the internet, then their trained weights must publicly available as well. They cannot claim ‘but training is expensive’; if they do, then they should pay fees for the hosting and storage and writing time of all data they scraped. I prefer open weights as it’s more practical. Your weights have a sliver of GPL source in it? Well that infected the entire thing as GPL does: it is ours now too!
It's a fairly important motivator if you want a business
I would rather have AI check the laws for grift before they are put to a vote.
What do we do with ourselves given accelerating AI?
Sometimes, it's hard not to feel mild existential crises with the rate AI is improving.
What's the point if AI will eventually be able to do everything a human can but better? How do you think yourself out of this? Like what is the 'correct' thing to work on.
Really? My dad's parts cleaner always had gasoline in it.
GPT-4 is bigger and better than ChatGPT–but OpenAI won't say why
Nakedcapitalism is the one of my choice

https://www.nakedcapitalism.com/
A "Merge and propose", a technique used during legislative processes to combine the various drafts into one
In Minnesota solar produces three times as much electricity in the longest days of summer than in the shortest days of winter. So either you need massive overcapacity or lots of long term storage or a massive expansive expansion of the electric grid [which Nimbys will oppose]--and probably all three.
This is really fascinating, and I love PID Controllers. That said, I really don't recommend doing this in production.

It is very rare that you can successfully use this in practice. You either a) Have just one machine, and that machine has a fixed number of cores (or cannot readily swap number of cores on the fly). If your machine is dedicated to this task, it doesn't make much sense to resize your thread pool - Leave it at max. The only way a smaller threadpool would help is if you have noisy neighbors sharing a machine and cores. However, if you have noisy neighbors, your simple queue-length PID controller will start using more cores not just when you have more than one core worth of traffic, but also when you have a lot of noise and are at max threads. It's fine and dandy in the happy case, but it fails pretty spectacularly in the worst case - Each additional thread creates more exposure to your noisy neighbors and possibly even worse global throughput.

If you b) Have multiple machines, you don't want to do this at all. The number of replicas (processes, or "pods" as I will call them because anchoring this in real-world K8s experience is helpful) goes up and down, but you need feedback on the number of threads or cores involved at the top level. If the number of threads goes up per process but the number of processes goes down, or the number of threads goes down but the number of processes goes up, you can get really wonky feedback loops.
Ask HN: ChatGPT best programming language to use?
If you are going to ask ChatGPT to write code, which programming language would you ask it to use and why?

I had thought maybe rust, but I read some threads and people were stating the code it writes would not compile sometimes.
For laundering, the more legitimate cash flow the better. The less actual work, also the better.

Throw money at Youtubers, they make the ads for you.

Indiscriminately approve the sponsor spots(Check out IncognitoMode's sponsor spots. He practically designs his spots to be unapprovable. NordVPN will always work with him anyway. They don't seem to care).

You get lots of customers, charge them enough that a large profit margin is to be expected. Botnet users to save even more cost on getting hosts. Log user data and sell it on dark markets. That's the money you can then launder with your large clean cashflow.

At least that's the sort of set up I had in mind.

The datamining and botnetting is possibly optional. Dirty money could also be from any other criminal activity, maybe crypto scams or some other e-crime. Or just drugs/sex trafficking. Or here's a wildly speculative one: use your vpn service to aggregate CSAM and sell that on the dark web, then launder the money via your seemingly legit vpn service. Bonus: keep logs for blackmail purposes in case your Dark Web enterprise craters. Blackmail futures!

I feel like I could sit here all day listing viable ways of building a nasty, disturbingly profitable criminal enterprise under the guise of a VPN service.

(I swear I'm not a criminal I just know how to think like one).
The entire city of Mountain View is literally one giant EPA Superfund site (look it up) and I wouldn’t go near any of those beautiful creeks they have running around or play in the soil…
A lot of times they are just finally replacing lots that have sat empty for years or decades. Due to some unknown reason, SF has quite a few lots that are simply stuck in time. No development can be done, they can't be bought or sold, they're just there, waiting for a change that will never come. The local papers like Mission Local probably has somebody who knows what's up with that though.
Are simulation results limited to data not ingested?

For non-automated, real life counts, would be good to have the standard deviation of ingested data / time to arrive at total count.
Forensic Accounting?
I know a few who switched to crypto, but that’s more nakedly gambling than what gets called “finance.”

I know two former developers who got rich enough to get into venture financing. That’s a kind of gambling too.
> especially, the fixation on the number

Oh yes! - that's a whole other level to this. pg figured that out 15+ years ago*:

If the title contains a gratuitous number or number + adjective, we'd appreciate it if you'd crop it. E.g. translate "10 Ways To Do X" to "How To Do X," and "14 Amazing Ys" to "Ys." Exception: when the number is meaningful, e.g. "The 5 Platonic Solids." - https://news.ycombinator.com/newsguidelines.html

Excessive specificity has almost a hypnotic effect on the mind, and group effects compound that.

* not quite - looks like some time between March 2009 (https://web.archive.org/web/20090324091356/http://ycombinato... - no number rule) and July 2009 (https://web.archive.org/web/20090712034454/http://ycombinato... - number rule). Someone should make an Internet Archive binary search service...
You could also stick to India speaks instead of coming here.
> As a developer, I much prefer to write code than read other people’s code. But most projects I work on involve other developers so it’s hard to avoid. Often I find it really hard to quickly parse other people’s code

Another solution to this problem is documentation, which is as much about coding as coding is.

If code was named well instead of using shortened and abbreviated names which serve zero purpose, documented well, and crafted well, then you wouldn't have these problems and wouldn't need machine learning to hack away at explanations. The one thing software doesn't need is more layers between what a person thinks the code does and what it actually does.
Is low latency wireless transmission feasible now?

The last time I worked on anything here, there were a number of problems with transmitting highly compressed, low resolution video data. The consumer devices could not handle just sending the packets. In my project we were annotating real time video and only sending back the annotations, but even that would cause devices to overheat and the applications to fail in really interesting ways.
It wasn’t that hard to work in chunks and write a book on GPT-3, can only be easier. https://docs.google.com/document/d/1vx6B6WuPDJ5Oa6nTewKmzeJM...
XML is not verbose if you stick to using primarily attributes instead of elements. Unfortunately, that pattern never had popularity.
Same Prompt: ChatGPT 3.5, GPT4, Sydney
Rust is a good idea because "does not compile" is better than "contains lots of errors, but compiles/runs anyway". No one should be running ChatGPT-produced code without carefully proofreading it anyway.

The training set likely contains more JavaScript than any other language, so the resulting code quality would probably be the best, but JavaScript is also the most tolerant mainstream language and would tolerate a lot of runtime errors.
>>I've seen this so many times in my career. The A players will stay because they're attached to the things they've created, but the B players will leave and you're left with lots of C players.

The problem is A, B, and C are not at birth positions. People in these buckets rotate across the buckets at various phases in their careers. And the participants in the A buckets are basically people with good leadership- who can train, motivate and get them good products/projects to work on. That given anybody can leave the company and if you have good managers it wouldn't matter.

The real problem happens when you go meta to this. How do you get A level managers. That's a very hard problem to solve and often it also depends of the boss at the very top. The CEO. Many times the revolving door, golden parachute CEOs don't even care. The founder CEO's are tired in most cases. Performing at unicorn level can be brutal on your body and mind on the longer run. And they'd rather semi retire after a few years than continue with that lifestyle. This is where the real problems begin.

In cases where the top most boss gives a damn about the company, the company tends to be A player generation factory. Look at Ford under Henry Ford, Apple under Jobs. Microsoft under Bill G. The boss at the top just needs to get this right else its over.
Because it’s not polite.
Yeah the "poor fool who types the information into the computer", or "Alex" in this case, is really the most enlightening thing in the story for me. It's amazing that this person who has exactly zero impact on account sizes... is rewarded for and takes credit for account sizes.
> In March 2022, KrebsOnSecurity warned that multiple cybercrime groups were finding success with fraudulent Emergency Data Requests (EDRs), wherein the hackers use compromised police and government email accounts to file warrantless data requests with social media firms and mobile telephony providers, attesting that the information being requested can’t wait for a warrant because it relates to an urgent matter of life and death.

The problem here is definitely the hackers that broke into this portal and not the fact that these databases can be accessed by police without a warrant at any time just by lying.
The Customization Obsession
That’s great news. The world has waited too long for this stupid and useless feature.
Claims that cannot be tested, assertions immune to disproof are veridically worthless, whatever value they may have in inspiring us or in exciting our sense of wonder.

- Carl Sagan
The Trump action most relevant was the “Economic Growth, Regulatory Relief, and Consumer Protection Act” of 2018, specifically Section 401 which lifted the threshold for certain requirements from the $50 billion in assets that had been set under Dodd-Frank in 2010 to $250 billion, exempting regional banks of SVBs scale.

https://www.congress.gov/bill/115th-congress/senate-bill/215...
They always were entertainment, so: concerts, performances etc.
NASA Restores a Spacecraft by Turning It Off and Then on Again
It's meant to be more inclusive than "programmer" so you can wrap in everyone else who works for tech companies. This is primarily useful from a labor perspective point of view, which had a big moment in prestige media a couple of years ago.
This is also really good because everything it saids can be easily referenced and crosschecked. Definitely a big reason I switched over to bing.
Open AI more like Closed AI

Safety has nothing to do with it. It's an easy tack on for them because of popular fear of AGI.

It's all about power over the market.

Cringe.
So, in response to 'templates are generics + things you shouldn't do', your counterargument is a non sequitur about tuples, a video titled 'Code You Should Learn From & Never Write', and a video about introductory templates which doesn't actually contain any counterexamples?