skysight-inc/HackerNews huggingface dataset:
> You can use rust as if it were a high level language without knowing anything about low level stuff.

How can you write that with a (I suppose) straight face? Rust makes you think about lifetime of every single variable, as anyone who's written a couple of lines of Rust knows... it' not just the lifetime annotations you will need when you get past the "copy everything" phase and start using or writing data structures, but the borrow checker making even the simplest stuff something you actually have to think through carefully (do you need to pass a reference, make a copy, use a mutable variation of some function, open a new block to limit the scope of the variable, assign it to a local variable to avoid it getting out of scope too early?). This is plainly "low level" stuff you need to worry about all the time which you just don't in any high level language.
I think LangChain is more akin to Semantic Kernel than Jarvis:

https://learn.microsoft.com/en-us/semantic-kernel/whatissk
I Didn’t Invest in Substack – even though I hope they succeed
Screwing over the bond market by screwing over owners of your company's bonds make the entire investing and general retirement and pension climates worse. Retirements and pensions are often guaranteed in part by the government, with tax funds. Tax increases and retirement deficits directly hit consumers in their ability to consume, and at least a few years back consumers were responsible for about 2/3rds of GDP (in the US, at least), so a bit more important than the business climate itself.

And that's without even factoring in the effect of bankruptcy on consumers employed by the bankrupt company. Employees of a bankrupt company are considered the highest level of unsecured creditors, but they still come behind secured creditors. So bankruptcy can not only result in an employee (who is also a consumer in the more general economy) losing their job, but losing their last paycheck and benefits coverage. Which has a consequent effect not only on consumption, but on utilization of public, tax- or fee-supported services.

---

If a person bankrupts a company, they could probably use 5 years to let all of the lessons that they should have learned sink in. If you fail out of school you have to retake your classes in order to graduate.
This is literally any worker? If you don't have a stake in the company, your bosses profit more from your work than they pay you for it, almost by definition.
Developers should be forced to write more documentation. Because if you create easy to use software, not a lot of documentation is needed.

If you create difficult solutions, you need to create a lot of documentation. And there is nothing that people hate more, than writing documentation :).
One dimension that I think is pretty important is compute cost due to its effect on how they’re used. The chatbots are expensive to run, which means they’re implemented as request-response API’s that cost money, which means that loops are expensive and they normally don’t do any idle-time thinking.

When you play a turn-based game with a bot, that means you don’t need to worry about its reaction time. It’s paused most of the time, waiting on you. A sorcerer’s apprentice scenario isn’t going to happen when you’re single-stepping.

Moving to routine use of bots that run continuously with fast reaction times will be much more dangerous.
I'm reading a displeased comment because of a possible connection to one of the listed firms, or a similar one.

Maybe unintended. But that's what I read into it.
The hardest problem is non-technical - convincing people of something. Whether that's a design, technical strategy, sales, or budget.
I used GOTO's
Ah, right! That makes more sense, I forgot about sheriff's departments. Still complete overkill here.
There are a lot of Pak Army facilities in Kohat and a major road tunnel important for Belt and Road stuff, it’s hardly BFE.
I wouldn't think of Rust as a language for Front-end development or similar either, I rather think of it as a systems programming language. Yes, it may be able to imitate tools like React, but not replace them. Not even in the slightest.
Can you imagine there was a time when the entire US options market was running on flat volatility vs strike price (implying that financial asset prices are lognormal). Must have been cool to just buy the cheapest, most OTM options and collect big results every now and then.

This may have been possible pre-1987. Since then, out of money put options have a very steep skew, so not possible. Even if OTM put options are very cheap nominally, but by having much higher implied volatility makes them much more expensive compared to how much they would otherwise cost without the skew. This from a Kelly perspective makes them much less lucrative if one was to try to construct a strategy with this. It cuts your ROI big time.
Part of the negotiation process between unions and their employers happens in the public sphere.

Apple plays hardball, by blaming the union for Apple's failure to extend benefits. The union blames apple for union busting in the public sphere.

The hope is that Apple's attempt to kill the nascent union will be so unpalatable to people like us, that apple will suffer more harm than benefit and agree to work with the union on an honest basis.

There's no requirement that the relationship between a union and management has to be hostile; unions are just democratic self governance structures for workers. Having a worker-led say in how the business is run can be good for the business, as unions can push back again short term business incentives.

(E.g., protecting against the cost cutting measures that led to the catastrophic train derailment in Palestine, Ohio.)
The 5-year ban is not an automatic outcome, I believe. Afaik it's imposed specifically in cases of gross mismanagement/fraud.
Could you clarify what you think is happening?

To my knowledge Infineon, TI and STMicro are all technically "fabless". The term "fabless" is also misleading because "Fabless" actually means Foundry-less. This is part of the problem with reporters on this topic, they actually don't know that these companies don't have foundries and endorsed a "Fabless" business model long ago.

And the idea that a fire at a single fabrication site (not a foundry) caused this long of a chip shortage is not a likely scenario. Any explanation for the ongoing microchip shortage that has to do with fabrication sites and not foundries is likely a flawed understanding.
I agree this sort of approach looks promising. Maybe using FFTs recurrently to approximate convolutions with input-length filters is the way forward. It's a clever idea. I'm making my way through the paper. Don't fully understand it yet.

The main issue I've seen with other wannabe-sub-quadratic-replacements for self-attention is that they all rely on some kind of low-rank/sparse approximation that in practice renders LLMs incapable of modeling enough pairwise relationships between tokens to achieve state-of-the-art performance.

I'm curious to see if this kind of approach solves the issue.
Well, we can start with how you pretend that greenhouse gas concentration determines the current temperature, and not the rate of change of temperature. I bet you aren't stupid, so it's either willful ignorance or disingenuity.
The media coverage on this is terrible but that is because the media is staffed full of people who did not study hard sciences. There's nothing wrong with the research on this topic and there is tons of it.
I'm building a startup and desperately waiting for my gpt4 access. I'm working on web and mobile wrappers/interfaces for BabyAgi and Autogpt with notifications etc... I'm also trying to find a good way to create stronger and more efficient memory systems with vector storage.
> There was also a perception that Polygon NFTs aren't as valuable.

Valuable to who? This sounds like a quasi-religious schism between ETH blockchain and the Polygon chain. Don't they both accomplish the same thing, i.e. a permanent record of ownership?
Yes, companies should be free to waste their money as they want. However, auditors serve a purpose and that is to identify any fraudulent activities. In the case of Wirecard, EY failed at this.
From the filing:

https://storage.courtlistener.com/recap/gov.uscourts.cand.41...

IN VIOLATION OF ITS PRIVACY POLICY AND THEIR RIGHTS TO PRIVACY, TESLA STORED—AND TESLA EMPLOYEES ACCESSED, USED, AND SHARED—VIDEO RECORDINGS AND IMAGES OF CUSTOMERS, WITHOUT THEIR CONSENT

15. Between 2019 and 2022, Tesla employees, for their own personal reasons, and not for any legitimate business reason, viewed and shared sensitive images recorded by Tesla customers’ vehicle cameras. At times, employees would circulate these videos and images, sometimes after embellishing them.

16. One crash video in 2021, for example, showed a Tesla driving at high speed in a residential area hitting a child riding a bike. The child flew in one direction, the bike in another. The video quickly spread around a Tesla office in San Mateo, California, via private one-on-one chats.
I think your comment is worse in nature than OP. Are you adding any counter-ideas to the conversation or just complaining? And now I'm complaining about your complaining.
This looks like total spam, self advertises itself
I’ve been thinking hard about it and my best current plan is hoping my Series B startup moons and I have enough of a nest egg to work a service job and live day to day off wages. Retraining efforts are gonna hit us all. There will be no escape.
Show HN: Search and Explore Hacker News Posts Visually on an Interactive Map
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No standardization for now, as we were still exploring the model. The spec is carefully built for evolution though, providing backwards compatibility where possible.
The main developers are Clément Delafargue, maintainer of the Haskell version, now employed full time at Outscale to work on Biscuit, and me, Geoffroy Couprie, original designer of the token and maintainer of the Rust version, working at Apollo GraphQL (unfortunately not on Biscuit yet)
So as a super talented CEO, would you take any jobs trying to save a failing company?
Like someone else pointed out in the thread, it was just MOU at this stage. But if past was any guide, they would rather lose their investment than putting boots on the ground (cue Libya, Syria etc).
Advice for money at least at the top level is in the long run always going to end up bad advice. The incentives are pretty much all about lining up more work for the firm.
Add Common Lisp (either SBCL or CCL). I kid you not, it can beat Rust.
Investors and/or startup loans, depending on structure, are generally right at the top of the list of creditors.
Using your own domain doesn't require CloudFront [0].

[0] https://docs.aws.amazon.com/AmazonS3/latest/userguide/websit...
Also, I’m not sure how they are scraping Twitter using /the/ Substack IP? Not even clear what that means tbh - the website is running on one IP and simultaneously running scrapers?
India’s Tigers Bounce Back
It is very much intended :D
> As to corporate mergers, if the state feels it is a tax dodge it can either veto the merger, or stipulate that each part be taxed as an independent entity.

It's ad-hoc regulations all the way down...

> And that's before you get into the mess that a giant tech/retail merger would entail.

Why? That seems less problematic from a regulatory point of view than a tech-tech or retail-retail merger.

If a tech-retail entity is problematic in itself maybe they should force the break up of Amazon - or at least tax each part separately, right?
Ex-IT Auditor and I agree. I was screaming for automation in the audit process for years and nobody would listen. Many of the employees are burnt-out and hate their jobs. My prediction is that governments will decide to audit companies using some kind of AI and report back any findings to shareholders, while ensuring correct taxes are paid. Big 4 has 5 years max to pivot their business or they're going to die.
Good job!
Databend has a AI_TO_SQL function to do it: https://databend.rs/doc/sql-functions/ai-functions/ai-to-sql
Responding to pyuser583’s deleted comment in reply he is probably thinking of the book by Nancy Dupree.

Another good read is “Under The Absolute Amir” by Frank Martin (early 20th century and out of print, probably online somewhere)
All it costs is your time, and not much of that since it replaces some of the time you'd otherwise spend exercising. 30hr/yr to break down a recently downed tree into firewood, 5min/day to clear out ashes and bring in new wood for the stove, and 1 min every 6hr to shove some new wood in the stove. You have gas as a more expensive fallback to keep things from freezing if you get lazy or are gone for awhile, and especially if a good job in the area pays $10/hr it's a no-brainer for most of the population to use wood heat. The stove pays for itself in less than a winter in gas savings.
Infineon, TI and ST all own and operate fabs all over the world.

Fabless means you design chips, but you don't have your own fab (fabrication facitlity). TSMC is a foundry and and fabs chips for fabless companies like NVIDIA and Xilinx.

It's explained in detail in my linked comment.
Oh, so you just object to the specific idiom I happened to use? Ok then. Just assume I meant to use one that doesn't trigger you but still conveys the intention I explained above. I believe I was crystal clear that I don't approve of the decision/actions that led to the various scandals and that I sympathize with the victims, and I'll reiterate that I'm cautioning specifically against falling prey to gell-mann amnesia and then ending up getting all worked up in dumb flaming arguments w/ randos online on stuff that is inconsequential to your life and off-topic here to boot.

If you want to insist on thinking that I'm trying to gaslight you or whatever, you're ignoring the forum guidelines ("assume good faith") to the detriment of your HN experience and that's your problem, not mine. I'm going to go touch some grass now, I hope you do too. Cheers.
How is this more ergonomic vs page autorefreshes? While you lose your favorite editor tooling by moving to the browser (and then you also have to copy&paste back)
"most ... in the US" is probably going overboard, but that's not too far from the truth in LA, where, for instance, many of the restaurants in little tokyo are korean-owned, despite the namesake. there can be good korean sushi, but it mostly tends toward the cheaper end, which means it's often not as good as a japanese sushi bar, where the best sushi is exquisitely delicious (and quite expensive). it seems like japanese sushi chefs aren't interested in the lower end of the market, so cede it to others willingly, and touristy areas like little tokyo have plenty of unsuspecting customers to keep those businesses afloat.

LA has the best korean food in the US, particularly because it has the best banchan (like kimchi!). even so, i generally wouldn't go to a korean sushi restaurant for good sushi in LA.
Very good. And what about in the real world where there might just be some benefit that offsets this cost?
Funnily I agree with these points. But I think they go a bit overboard with regards my initial comment.

Ownership does not imply security of the underlying object, digital or physical. Point in case, I owned my car when it was torched by anti globalism riots. Same principle applies to NFTs. Actually the real revolution of NFTs as "JPG ownership certs" is that they democratize art in that everybody can look at the linked JPG in full resolution but only one wallet can own that NFT.
“Efficiency nerd” is another word for sociopath, right?!
I was watching UVB leading up to the war, it was pretty mundane, up to where people in the Estonia / Latvia / Lithuania / Belarus corridor started jamming the channel with music or drawing pictures on the SDR heatmaps.

Eg: https://www.youtube.com/watch?v=QWFg3i2dNK4

After that it devolved into a popularity contest over who had the strongest transmitter or was geographically closest to SDR recievers.

Then kiwisdr got ticked off and stopped letting people do time domain reflectometry to triangulate the signals.

My bets are on this new signal being a troll.
> I'm expecting LLMs with hundreds of billions and eventually trillions of parameters will be able to run locally on my laptop and mobile phone, in the not-too-distant future

Perhaps. There's been a lot of focus on training-compute optimal models in the industry. Rightfully so, as proofs of concept. That's what led to this perceived parameter count race in published models.

But remember the other side of the scaling laws. For inference, which is what we want to do on our phones, it's better to be inference-compute optimal. That means smaller models trained for longer.

As far as we know today there are no limits of the scaling laws. A 1B parameter model _can_ beat a 1T parameter model, if trained for long enough. Of course it's exponential, so you'd have to pour incalculable training resources into such an extreme example. But I find these extreme examples elucidating.

My pet theory these days is that we'll discover some way of "simulating" multiple parameters from one stored parameter. We know that training-compute optimal models are extremely over-parameterized. So it isn't the raw capacity of the model that's important. It seems like during training the degrees of freedom is what allows larger models to be more sample efficient. If we can find a cheap way of having one parameter simulate multiple degrees of freedom, it will likely give us the ability to gain the advantages of larger models during training, without the inference costs later.

I don't disagree that we're likely to see more and more parameter capacity from our devices. I'm just pointing out that the parameter count race is a bit of an illusion. OpenAI discovered the scaling laws and needed a proof of concept. If they could show AI reaching X threshold first, they could capture the market. The fastest way to do that is to be training-compute optimal. So they had to scale to 175B parameters or more. Now that it's proven, and that there's a market for such an AI, their and other's focus can be on inference-optimal models which are smaller but just as smart.
Slightly off topic: Have there ever been any unions that simply started their own co-op?
https://www.investopedia.com/ask/answers/09/corporate-liquid...

> Shareholders are often last in line to receive proceeds with preferred stock shareholders getting better treatment than common stock shareholders.

Loans aren't shares; not even early loans. Else they'd get much better returns from the successful businesses.
The perspective transform needs the depth of each pixel from the camera (or equivalent 3D Cartesian coordinates of objects). An affine image transform that ignores depth won’t project objects correctly.
Yeah I find myself switching between these two perspectives, so I don't think that one of them characterizes me directly. Actually, very often when building an MVP it makes a lot of sense to just say “let's allow people to do that to keep it simple and just assume that they either don't do it or that later they can explain why they felt the need to do it.” For instance if you can take inputs from one system and push outputs to another system, and those have overlaps, you might assume that your users never create cycles where your software starts pulling in the stuff that it pushed out, so you never check the sorts of loops to make sure that you're making progress, and maybe someday someone configures an infinite loop in it... In practice non-technical users at a small company don't trigger this and are surprised if you build things that read from Y and push back into X, “how is that even possible”.
As an engineering manager, I cannot imagine assuming that people would read something.

Engineering managers think horizontally in an organization, with enough depth in intra-team individuals and inter-team dependencies. There's a lot of similarities to software engineering: understand the product, know enough depth for what you're building, and understand dependencies on the edges.

Core pieces of these for an EM are fundamentals of human behavior, motivation, and process. There are global-ish truths about humans and global-ish truths about complex human hierarchy. For the former: individuals are more likely to get defensive when confronted in public.

For the latter: the same way there is a compounded risk of latency and failure with multiple network hops, there is a compounded risk of mis-alignment with multiple human hops.

I recently worked at a larger company (Stripe) where I was 5 hops from the CEO. Coming from startups, the information loss/skew between the CEO and my team was incredible. I found myself very much aligned with the CEO, which I could confirm by Slacking them. But by the time it trickled down to our team the incentives, motivations, and direction were mildly fucked. Navigating that is part of the craft, which we can feel any kind of way about but doesn't feel entirely avoidable.

"[X] will read [Y]" is a human fallacy, not simply a manager one. See: "just read the docs", "did you read the article you're commenting on", "the code is self-documenting", etc.
> once you engage with a third party (union) to negotiate for you, you will only get what you bargain for. The animus around unequal benefits ought to be directed to their union leaders, who need to do their fucking jobs and bargain for the benefits. That’s what you pay them for!

It could be this, or it could be Apple playing tricks. If Apple just waits for the union to negotiate something and then immediately gives a better version to the non-union workers and refuses to negotiate afterwards, then that's not the union's fault.
Love them features!
If you have seen recent threads, the most popular plan is denial.
I use Google Drive for that.

PC & Mac -> https://www.google.com/drive/download/

Linux integration is a little bit more complicated. Might require a little bit of research.
This would be an actually interesting story if you removed the word "from". Otherwise, it's "dog bites man".
Is this the way we work? We are told a fact a very few times and we remember it all life long, no 32k or 32M context.

I think that they are following the easy path, much like the Giga Hertz race in CPU, and will hit a wall. Maybe the wall will be so far away that it will give us an AGI but maybe it will give us superhuman machines only in well defined contexts. We'll have to squeeze our instructions in a prompt too small for some tasks and get a bot behaving like the main character of the Memento movie (he remembered only the last few minutes and very old memories.)
Oh, I've had that, too. I've interviewed with a few companies that create products that are literally years of research behind their (sometimes free) competitors. And don't realize, typically because they don't have the skill to even comprehend the difference.

And for fun, all these companies interviewed me on cloud development, rather than on their core offering, despite the fact that I actually happen to know a thing or two about said branch (i.e. I have both a PhD and commercial experience in the domain).