skysight-inc/HackerNews huggingface dataset:
Canadian citizens need a green card or other visa to work in the USA. Living on the street in southern California, already overflowing with homeless people, seems worse than what Alberta might offer, except for a better climate. Especially for someone who has mental health issues.

I agree with the contracting advice, but without a decent network of contacts, a track history and reputation, anyone will find it tough to get contract/freelance work. Especially now with so many Americans laid off from tech jobs trying to do the same thing.

There's nothing about an LLC that make it easier for large clients to pay you. Freelancers can work as sole proprietors and get a business bank account. I've freelanced for a long time and never had a problem getting paid, or had to form an LLC or corporation to look more real or get paid. The big problem with getting paid in this case is not having an American Social Security Number for tax reporting (1099). An LLC will allow hiding that problem for a while, but then you can add tax evasion or fraud to the immigration violations.
I think this a lot as the root cause of where "bullshit jobs" come from. This pattern happens all the time:

1. Government passes a law to try to improve some problem. All laws in a democracy are the result of a lot of horse trading, so the law itself generally includes a lot of tradeoffs.

2. The new regulations bring up a need for a whole host of people to understand and implement these regulations, who sell their services to other companies and the public at large. Of course, these jobs exist to make it easier for others to follow the regulations, which means that people in these jobs have no incentive to make the regulations simpler in the first place.

For example, a lot of people in the US are familiar with flexible spending accounts, FSAs, which let you spend money on health-related items without paying the income tax on the money for those payments. But the rules for FSAs can be notoriously complex. As one example, many products/services are "dual purpose", so you can spend FSA money on a massage if a doctor prescribes it, but not if you just want a massage to feel better. So a whole host of "wellness services" have popped up that will essentially write you a dubious "letter of medical necessity" (literally nobody is ever turned down) so you can buy these items with an FSA.

But the real kicker is FSA is "use it or lose it" - you set aside money from your paycheck at the beginning of the year, but if you don't spend it on medically-approved items, it reverts back to your employer at the end of the year. And 25% of all FSA funds are forfeited every year! So the end state is that all of this complexity was set up to create and manage FSAs, but, on average, it's essentially a wash for participants as a whole due to the forfeited money.
AT&T to give billing credits to consumers impacted by outage
François Chollet, author of Keras, lays it out pretty clearly that LLMs are just memorizing [0] (there’s more links if you follow that thread).

I think LLMs are incredible, and spend most of my days working with them closely, but they are not nearly as close to “AGI” as people think primarily due to their inability to really generalize.

At the end of the day LLMs aren’t that different than old school n-gram Markov chains, except rather than working on n-grams, they’re working in a (very sophisticated) latent space. Their power is really these incredible latent languages spaces we’re still just starting to understand.

In all my years of tech the “AI” space is the most curious hype-bubble since the things people expect to happen are entirely out line with what is possible, while at the same time the potential of these models is still, imho, underexplored and largely ignored by the vast majority of people attempting to build things with them.

99% of the people I know working in this space are just calling APIs and trying to do some variant of code generations, where a small minority of people are really trying to figure out what’s going on in these models and what can be done with them successfully.

0. https://twitter.com/fchollet/status/1755250582334709970
They probably meant Google+, but what they meant is Google Wave.
That user's entire Twitter/X feed is AI shitposts.

No one knows how ChatGPT's memory works (it was only added a couple weeks ago), but ChatGPT being passive-aggressive about it is unlikely given what we know about its personality.

It is likely that there is a separate command earlier in the conversation to tell ChatGPT to be passive-aggressive, which would make the "A screenshot of the UI that was not edited" from the poster true by exact words.
Utility classes give you the immediacy and power of inline styles in a consistent and controllable way, and they're a natural bridge to class based styling. If you've had a bad experience with utility classes, that's because you've had to deal with bad codebases that use them, rather than due to inherent issues.
> Also wonder why Twitch didn't provide the numbers given that they have already publicly said that the costs are high.

All web service operators including Twitch have signed an NDA about their cost of data transfer. But there are some estimations. 50-90 billions in KRW per year (from a financial report by Daishin Securities)
Does this mean if bluesky stop supporting did:plc then all preexisting plc identities go kaput? Since plc involves pinging their service...
i find bribes generally bring better results, after which i tell it ive deposited $ to their account. its only in a spot, not consecutive results.

also I find when i deride chatgpt for lackluster performance, it gets dumber or worse subsequently.
bingo, I think it's a weird gotcha. Most human occupations require years of training exactly for this purpose, so that humans can just regurgitate data they have seen in training. Very few humans ever produce truly novel insights. you wouldn't hire a divorce lawyer for a corporate merger and vice versa
NNUE is the interesting part to me. Alpha-beta tree search is useless without a good value function. Not sure what would be the best way to generate the training data if you're starting from scratch.
WavTool does this! https://wavtool.com/

They've got an AI "composer" that can make midi songs that really can sound great!
For sure, but then you need to post on a forum and wait for replies
Ha! We’re just trying to use the art to stand out from the rest of health tech which is quite boring. I get the target audience is not often into anime (Ive watched maybe 10 anime anything’s in my life), nevertheless it looks cooler than the “lobby people” on other websites, and I like to think, bc of threads like this, the selection of art has served its purpose.
A solution only exists if you have a problem. A problem is every opportunity for a solution. Uber existed to address the limited amount of taxis in a city and address the pricing problem they produce. How they themselves became more expensive, they also became more of a problem. Then more solutions were added like regulation...

The issues are compounding. The phrase is, "The road to hell is paved with good intentions.".

A good example is also how some open-source business models moved away and started charing their services. The unintentional consequences of society and businesses making descissions hastedly would out throughly reviewing and executing their strategy.

Often businesses that make these underhanded tactics receive massive negative publicity and loss. A good example is how Unity announced that it will start charging per installation of a users game. This became problematic because in turn it was taking an already fairly licensed product and tacting on additional fees which caused it to become unfairly priced. Their initial goal as a platform for game development was to be the better competition to major studios eventually becoming the problem they swore not to be after becoming established.
It’s always so confusing when anti-markets debaters bring up pollution and product safety, because it’s like the only thing libertarians actually agree with them on. We absolutely believe the primary role of the government is to protect shared rights like the environment and health of products sold. What libertarian capitalist don’t want is redistribution and confiscation.
This is mostly true, but not exactly.

Most Chinese speakers can understand (written) Mandarin, but all the spoken languages can be written in theory. Mandarin was just the first one to have been popularly written and it was the official dialect, so it became the de-facto standard (before it became de jure).

People in Hong Kong for example have been writing Cantonese for decades, albeit more often recently than before. But if you looked you'd find published works written in Cantonese 100+ years ago. That said, if you only knew Mandarin it will probably only take you a couple days to get the hang of reading Cantonese since it's not that different when written.
.... because the Western companies built on these products required exploitation of the communities at their source. Now that White people can't just take shit anymore, suddenly it's "fragile".

no, it's just not exploitative and racist, Karen.

white people need a muzzle.
A nurse can examine a patient's body. Medical tools can and report their diagnostics with high precision. GPT-4 is multi-modal.

I feel you are nitpicking because you don't like the idea of an LLM being better than a human expert. Even if they weren't better than doctors nowadays, the chance they won't be in 1-2 years is tiny.
"Remark-1" says it actually is not.

Surprised Pedro is pushing this as a Kernel Machine (the need for constant coefficients is a key requirement).
Greed indeed: https://medium.com/@trendguardian/why-we-are-dispensable-7a5...
Often the rules that require things of a company have penalties for non-compliance.

Those penalties don't always have exemptions for stopping service. In fact it might have the opposite to avoid trying to put political pressure by doing that.

Doesn't mean it is a regulated industry which is actually a very narrow term.

Remember you are generally required to follow regulations to collect sales tax which covers almost every company. That doesn't mean you are a regulated industry.
I started setting up hledger this year and I’m with you for a small business it is absolutely great.

Some notes:

- The initial setup of the books is pretty time consuming especially if you have a lot of accounts. I recommend starting your most important accounts and adding as you go along.

- Mass changing categories is just a search and replace so I have been getting pretty fine grained with the categories as I go along.

- Being a small business the separation from business and personal is needed from a legal standpoint, but from a practical standpoint I live off an owner’s draw and a put cash into the LLC when investing in its growth. Having hledger have all my accounts, personal and business and being able to filter out appropriate reports has been great for seeing things like is the business a money pit or am I actually growing wealth over time.

- I combine hledger csv output with Jupyter to generate the specific reports and charts I need. I.e business specific versus combined for taxes. This filtering also has me thinking of other ideas like figuring out which credit cards to apply for based on my expenses.

Overall more fine tuned than what I have been able to achieve with Quickbooks over 8 years.
This approach sounds great as a low-maintenance model for open-source projects with many ad hoc contributors. For projects with dedicated engineers, consider ADRs instead. These require more maintenance, but capture the "why" and "alternatives considered", which can be immensely helpful when rearchitecting.

See https://adr.github.io/
Only junior developers? Developers across all levels of seniority can suffer from these problems.
> now everything is just going to remain exactly the way it was.

Consider it’s not dumb. Then what is it? Perhaps management knows full well everything you say but they’re also subject to the same incentives.

My hypothesis is the status quo makes the system more predictable all the way to the top, which in turn enables them to confidently pull the levers they want to pull without surprises.

If that hypothesis holds, it seems entirely rational to let support be.
Single-handedly taking your stock from 70 down to 30 is not something you can do if you can’t afford it. It’s bumped back to 53 or whatever, and lots of external stuff has happened too…but I think it’s hard to deny that his actions caused a massive dive in the stock price.

Anyway, my point was that Musk, Bezos, Gates, etc. can afford to act freely in ways (constructive or destructive) that violate all the behaviors that economics textbooks posit as being universal.
Actually, yes, the American tech companies are working hard to enrich humanity. They enrich themselves too. But they've given off tremendous consumer surplus just in comparison to the previous decade, and you'd have to argue in bad faith to suggest otherwise.

But hey you can complain about Americans tech companies. It fits right into the GP's point that attacking American tech companies is hot for governments.
This has always driven me crazy. Its just amazing how much $$$ is wasted because of this.
Calculating Scroll
From a practical (rather than moral) perspective, as long as the research is approved by the government and the government is authoritarian, there won't be any public beating down your door with torches and pitchforks.
I wonder if they select against people who are too likely to spend their lives tinkering in their garages to have any chance of making a several million dollar alumni donation.
Does it really matter how good your DX is if your stack limits you to making virtual magazines and fancy crud apps?
Oh neat. Do these writings use Hanzi or something else?
> Faux performative patriotism

Shared rituals reinforce shared values.
No, what made you think that?
What about the zeroth law? Nobody remembers that Asimov wrote another law in his works.
For every 1 medical case solved by web search/chatgpt/ai. There will be hundreds of false-positives.

I remember shadowing in the ER in the early 10s and many people would come in with Google search trash. One kid even cited something from the psychologist handbook. Lol
What he did was more than you give him credit for.

I agree he wasn't a great engineer. A big part if engineering is doing it in a way in which is safe for everyone involved, the community. He was unbelievable irresponsible in that arena.
Care to share the clever way? I've put on a number of small-scale (high triple digit/low four digit concurrent viewers) streamed events and have always gotten pretty slammed by both cpu and transfer using nginx-rtmp published via hls.
As far as I'm concerned, if you have circular dependencies between directories, you're doing something wrong (see also my top-level comment).

If you're sane and have a DAG of directories, you can just toposort.
The nil return assignment is a compile time error, so easy to spot. It is not supposed to be the defence of the API or a silver bullet, just a practical rule that can save you some hustle.
> I guess it has a large presence in SK

It doesn’t.
I bought one as a basic TV and media player but never connect it to wifi. It's actually not too bad as it's a 32" LCD I bought for 80 bucks.
I hate how their a disconnect between personal and business financial management and how personal is handle.
Yeah the story sounds sketchy, why would the husband or wife confess to such things if it works against them?
Discworld Mud is still around, active, and getting updates fyi! I'm sure it's not the same as it's heyday but . I love the language feature in particular, I also want it to be used in other games. Having to change currency I could do without though :P How many Ankh-Morpork dollars to an Agatean rhinu? Can I convert Djelian talona to Lancre pounds in this town? Writing that out though, it is great for the roleplaying experience.
It it’s too bad that this type of data beyond the medical record is not tracked along side it. Although many anecdotal associations are probably not correct for the broad population, there are likely nuances in the patients history and lifestyle which do make some more basic interventions helpful. ChatGPT surely picks up on some trends but doesn’t have enough data about the people where those trends are effective.

And of course its responses are highly subject to the prompts used
I think there’s a lot of people who got into tech in 2020.
They are new programmers and technologists and made a life change in 2020.

I think they were a big part of the crypto bubble. Lots of talent, hungry for that sweet startup gold, but without the technical background to really know what’s going on.

I believe these same groups are operating in the same way with AI.
Recklessly bashing together APIs and cloud services to create MVPs.

It’s all the worst parts of startup culture concentrated.

Anyway, that’s why i think most of the AI space rn is just people calling APIs and acting like they discovered fire.

</salty rant>
This breaks down because it's not easy to statically reason about when a variable is a NonZeroNumber. For example, what is the type signature for subtraction of two NonZeroNumbers? You can't guarantee that it isn't zero, so it has to be a Number. Thus, you can't divide by the difference. You could use a more powerful type system to reason about these kinds of constraints, but then type checking quickly becomes undecidable (or at least very, very expensive).
https://en.wikipedia.org/wiki/Global_saving_glut

I may have exaggerated slightly, but it's a touchy subject because investment is the legitimate way by which rich people get paid for being rich, which is how class works in capitalist societies. The long term sustainability of investment supply / demand dynamics have deep implications for the legitimacy of this enterprise, its winners and losers, and the policies that prop them up (or don't).
It is not like Go wasn't already taken.

https://github.com/golang/go/issues/9
One of the most basic prompts everyone should be using with questions like this is something like "provide detailed arguments both for and against the presented hypothesis."
Discussion at the time https://news.ycombinator.com/item?id=25314830
> The two studies imply that they are conducted under two very different mindsets, which will most likely also mean people will receive a different human treatment.

Even if the studies are conducted using the standard double blind protocol for medical and social science research, where the experimenters who have the different stopping criteria are not involved in any of the actual experimental activities? They don't do the random assignment of patients to treatment and control groups; they don't administer any of the actual treatments or placebos; they don't interact with the patients or the treatment personnel in any way during the experiment; and they don't inform anyone who is actually involved in the experimental activities of their intentions, regarding stopping criterion or anything else.

You're saying that even if all this is done--and, as I've said, this is standard procedure in medical and social science research--it is still impossible to prevent the experimenters' intentions--which aren't known to anyone else involved--from affecting the results? Remember that, as I've already said, the whole point of these double blind protocols is to prevent the experimenters' intentions from affecting the results. You're saying that's a fool's errand?
I think people compare the best possible CSS with Tailwind rather than comparing what actually gets done with actual Tailwind.
Does a given model converge after Gaussian blurring? What does it do in the presence of noise, given the curse of dimensionality?

OpenCog integrates PLN and MOSES (~2005).

"Interpretable Model-Based Hierarchical RL Using Inductive Logic Programming" (2021) https://news.ycombinator.com/item?id=37463686 :

> https://en.wikipedia.org/wiki/Probabilistic_logic_network :

>> The basic goal of PLN is to provide reasonably accurate probabilistic inference in a way that is compatible with both term logic and predicate logic, and scales up to operate in real time on large dynamic knowledge bases

Asmoses updates an in-RAM (*) online hypergraph with the graph relations it learns.

CuPy wraps CuDNN.

Re: quantum logic and quantum causal inference:
https://news.ycombinator.com/item?id=38721246

From https://news.ycombinator.com/item?id=39255303 :

> Is Quantum Logic the correct propositional logic? Is Quantum Logic a sufficient logic for all things?

A quantum ML task: Find all local and nonlocal state linkages within the presented observations

And then also do universal function approximation
Ha, what great fun.

My circle is 97.0% perfect, can you beat that? https://neal.fun/perfect-circle/
No, but studies have found that 250k+ deaths per year in the US are due to medical errors. [1]

[1] https://www.hopkinsmedicine.org/news/media/releases/study_su...
In Pittsburgh, as with many older US cities, we have a combined storm water / sewer system. Stormwater runoff from impervious surfaces joins the sewer system; under normal conditions, this means we have to pay to clean it, and under high flow conditions, it means the sewers go into the overflow system, dumping feces into the river.

This isn't a universal problem, but it means there's a pretty big benefit to reducing runoff, and the city has been pursuing it aggressively for the last 20 years or so, to good effect.

(The runoff also leads to localized road flooding, which is again both dangerous to road traffic and expensive to mitigate.)
Your link doesn’t show what percentage of undergrads receive aid. I would imagine that the vast majority of MIT undergrads come from households making >$225k, and so would receive perhaps some but not much aid. Still paying $52k / yr according to your link
I think that’s a gross oversimplification.

Have you been a plumber or an electrician?

Different buildings require different, occasionally novel, solutions. Not all are textbook (most aren’t.)
Not all innovations are published or even widely communicated.

Just like in programming, the devil is in the details, otherwise we’d all be using ruby in rails for our web servers, since regurgitating how to build a CRUD app is all you’d need.
Because they're science fiction?

Kind of like asking why we don't just use warp drive for space travel, or transporters instead of airplanes and hyperloops.

My less sarcastic answer: Because there's no "we" to decide such things. The companies that own what we're calling AI have little to no incentive to build in the "three laws," should we get to that point, which I doubt. If we had useful robots the military would use them and they wouldn't want robots that won't kill people. If we can imagine robots and AIs with the three laws embedded in them we can also imagine robots and AIs without those prohibitions, and people hacking them. The bad actors will always drive the arms race.
Ripple is not my industry, lol
Ironically, name one better for convenient (so, not Apple TV) 4K HDR Sponsorblock capable YouTube near that price point or really any price point unless you’re going the HTPC route. Form factor is also a consideration. The FireTV would not be the only media device in my setup but it serves a purpose.
Google TV impressed me by having a "Basic TV" option for sets that come with it, that disables most smart features, which is useful in a pinch when you can't find a dumb TV (such as a Sceptre) or monitor usable as a TV. It's kinda weird to praise Google for implementing something that halfway respects privacy, but here we are.
97.2% https://ibb.co/mCc12xd
What do you mean breaks down?
Sounds a lot like the classic "Hate Agile? You just haven't done it properly" rhetoric