skysight-inc/HackerNews huggingface dataset:
> What are the c-suite execs and specifically CTOs seeing

So I can speak to this since I am trying to sell to them.

CEO is being told from the markets, board, consultancies, Gartner etc that you need to have a Generative AI strategy. What that means in practice is irrelevant. You just need to throw it all against a wall and see what sticks. If you don't then the risk is you get left behind.

CEO is telling the CIO that the need to figure this all out with the obvious pilot programs being in Customer Support and Search which the CFO has been tasked to find budget for. The problem is that the data in these companies is poor and getting poorer as the number of SaaS apps explode and they are forced to just dump everything in a messy data lake. Which is why for the CDO, AI is like their #6 concern and is going to make their lives 100x harder.

The logical conclusion to all of this is that 95% of these projects will fail: (a) data is bad with no easy way to fix it, (b) LLMs are inaccurate/biased making them a risk, (c) ROI is poor, (d) data privacy/sovereignty is a mess.
The outcome of any IP lawsuit is going to include an order to cease use of the IP. Even a DMCA notice requires cessation.

If the infringing code powered a widely used service, replacing the code with a clean room refactor could be arduous and time-consuming and might require a court-appointed monitor to sign off.
This reads kind of like “my parents hit me when I was younger and I turned out fine” though o highly doubt it’s your intention.

Just because things seemingly turned out OK doesn’t mean the treatment was appropriate. In the same way, just because someone manages to “get by” doesn’t mean they don’t need to be diagnosed. It’s just making their life needlessly more difficult whereas they could yave more resources that reduce the burden they have to live with every day.

Just knowing you have a diagnosis, regardless of whether or not you are treated, can be incredibly empowering and helpful. It isn’t a mystery why other people could sit down and study for three hours when I was in college and I couldn’t. I was diagnosed with ADHD, I knew where my blockers were and what they looked like (and continue to!) It gives me a lot more control and ability to manage myself day to day vs. assuming something is wrong with me. The latter feeling can be incredibly demoralizing and even lead to self-destructive tendencies such as a self-medicating with alcohol and drugs. After all: Why bother trying if you’re convinced you’re truly broken? It’s not something that has a name but that other people share this problem with you and manage is, again, incredibly empowering.
We don't need agi to have LLMS make a massive impact on employment.

They can already likely replace most associate attorneys as long as their work is reviewed by a competent attorney as the work of associates is already.

They can likely replace a large portion of call center workers.

They can increase productivity for software engineers reducing the need to expand teams.

Add the replacement of truck drivers if self driving improves over the next decade and you have a fundamental shift on employment.

There are likely a dozen more areas they can have massive impact. Fast food order taking, etc.

Thats not nothing.
> you're able to build and maintain relationships, as well hold conversations with strangers or non-close acquaintances when necessary

The traits you are describing here and autism don’t exclude each other. Many autists live well. Some Fortune 500 founders and/or CEOs are autistic. I’m tempted to conclude you are projecting a stereotype, but I might be reading too much into your post.
Sadly I remember wearing pleated pants
As far as I understand, we have not managed to create perfectly reflective surfaces (and there are none in nature that we know of).
I read it multiple times and the unresponsiveness of this comment serves to further confirm my assessment, that you were unique in introducing the notion of full-scale eradication without qualification into this conversation. The participant you quoted noted a preferability, but you engaged in an original creative act in equating this to eradication.
Open your browser's JS console and run:

gameTracker.timeLeft = 9999999999

This will add ~300 years of playtime.
That the LLMs are wrong sometimes is no more relevant to their value than that humans are wrong sometimes.
I'm about 55 now, and if I was high school or college age again, this is what I'd study. There is huge potential in future biological developments.
Because most people aren't as sophisticated as you
ChatGPT is a better Dissociated Press algorithm[0]. Dissociated Press appears to be one of those "forgotten hacker lore" things, something which in the past many hackers would've come across (not least likely through Emacs M-x dissociated-press) but these days not so much. (Recently, YouTuber ThePrimeagen rediscovered "Real Programmers Don't Use Pascal"[1] and read it aloud on his channel.) In the LLM era of AI, hackers (and perhaps more importantly, non-hackers, like business people) should understand Dissociated Press and how it works because, fundamentally, an LLM is doing the same thing: looking at the chunk(s) of text that came before and selecting the chunk of text most likely to follow based on that. DP uses a simple Markov chain to make this selection, so its output is obviously garbage while an LLM has much deeper memory, a much better statistical model, and it's trained on a much larger corpus of text, so its output is... much less obviously garbage. :)

But the best it can do is always "plausible-looking", with no regard to whether it is even true, let alone insightful. Like a tarot spread, the output of an LLM may provoke insights in the reader's brain, but those must come entirely from the reader's brain and must be used very carefully. I've also compared it to the robot from Asimov's short story "Liar!" which could read minds and, due to the First Law, always tells people exactly what they want to hear (malfunctioning and shutting down when it is told that telling people false things does in fact harm them). The LLM can't read minds, but it is ever only mindlessly following its one directive: to tell you what its statistical model indicates you are expecting to hear next.

[0] https://en.wikipedia.org/wiki/Dissociated_press

[1] https://www.pbm.com/~lindahl/real.programmers.html
> Unfortunately, Congress is mostly ignoring what is happening in the states and failing to craft the pro-innovation national policy vision needed to maintain America’s current lead in advanced computation and algorithmic technology.

Given how badly OpenAI is struggling, I would argue that AI could only benefit from fewer handouts and less pro-innovation national policy.
Interesting how changing up the side of the road drivers use elevated their attention, resulting in less accidents, until the activity became second nature again.

The relatively smooth changeover saw a temporary reduction in the number of accidents... These initial improvements did not last, however. The number of motor insurance claims returned to "normal" over the next six weeks

Iceland saw a similar effect on "H-dagurinn" when they made the switch (https://en.wikipedia.org/wiki/H-dagurinn):

Traffic accident rates briefly dropped as drivers overcompensated for the increased risk from driving on the unfamiliar side of the road, before returning to the level following the trend prior to the changeover.
You don’t need this per commit unless you’re especially paranoid. Can easily do it just on a per release basis. The problem is that right now it’s still all wasted cost - this thing can’t really do the thing needed.
Out of curiosity, given it is a spectrum, what's at the other end of "really" autisitc (if that's even the right word) or does that just go from 0 being "normal" to 1 being that "really"?
I think we're capable of stretching the meaning of a term that originally referred to the excrement of male cattle, to non-humans.

Especially given people refer to objects as bullshit all the time.
Years ago I emailed the creator of Exapunks (a puzzle game where you write assembly in a made up instruction set) and asked why he used AT&T syntax instead of Intel syntax. He said it seemed more intuitive for English speakers.

> This is usually only brought up by people who have prior assembly programming experience, which makes me think we made the right choice.
So far as I understand it, the asm is rarely a problem because of the way it tends to interact with data. It's metadata and demuxing: the glue.
There are many reasons for this and as mentioned one is employee theft. If you've ever owned or operated a retail type business you would know there is much involved in reconciling the cash sales vs. what the register shows.

Also important to note that the items mentioned are discretionary and entertainment. As such it's not unfair at all to have to pay more if you want to pay in a way that the business requests. There is no obligation for a business to support payment methods that require them to increase costs (in theory) for all customers to cover the loss of dealing in cash. (Also removes potential issues somewhat with money laundering).
No. Don’t go with KDB. (Source: built multiple production backtesting systems in prop desks)
Python Compares Floats and Integers
In other words your typical academic institution likes all kinds of diversity except diversity of thought.

And they hide this behind a smokescreen by focusing on all the superficial forms of diversity (gender, skin color, orientation etc).
Discussed (a bit) at the time:

“Money doesn't interest me” – Creator of Blender talks about its future - https://news.ycombinator.com/item?id=17989373 - Sept 2018 (1 comment)

“Money doesn't interest me” – Creator of Blender talks about its future - https://news.ycombinator.com/item?id=16480431 - Feb 2018 (2 comments)
Why not just spin up a server for your extension?
Scholars: AI isn't "hallucinating" – it's bullshitting
As far as I can tell, all of that precedent involves the "copier" of the voice giving specific instruction to the "mimic", which didn't happen here.
EuroPython Proposals Are Selected: An Inside Look
I suspect our disagreement is in the much in "Without doing much innovation", and the difference (I am not a clothing designer though I've sewed my own clothes; there may be more to it than I imagine.) between electronics and clothing is that electronics have to change to keep up, with the times, which incurs a large expense. Human bodies haven't changed size so dramatically so as to need a whole new process to handle extra arms.

There is a non-trivial amount of engineering work required to go from Usb 1.0, to 1.2, then 2.0, and then all the way to 3.0, even though to the end customer it's just updating to the latest version of USB.

I see that non-trivial engineering cost as what makes the difference.

Using a newer kind of fabric doesn't require new sewing machines.

If you're able to make a product, and not change it for a decade, and also not change how it's being made for that same decade, and on top of that, not have competitors pop up, then it's overpriced.
You can't fire your boss
> how is it possible that we see such incredible investments in LLMs?

Because somehow LLMs became the next "big thing" that nobody can explain but everyone wants to be involved in. It's like audio streaming, the most ineffective form of audio distribution, but for a while it seemed like a good idea.

> What are the c-suite execs and specifically CTOs seeing that is worth adoption and investment? These are very smart people.

The are idiots following the herd. They climb the greasy ladder of corporate career and fear getting fired. Their smarts are in corporate politics not in tech. And even if they were smart enough to tell that LLMs are an example of a research project that has received way too much funding, they need to appease the gods of Wall St who will judge them and punish them with a downgrade of the stock price if they cannot answer one question "What is your AI strategy?" It doesn't matter that the Wall St guys need help getting out of a strip bar, they have the power to ruin stockholders. This is why Apple, Google, and Salesforce are spending money of AI projects as a form of defence, not as a way to build new products or services. It's to show that they are relevant and can innovate.

Voice assistants were the same thing, so were chatbots, and audio and video streaming services (remember Groove Music Pass), touchscreens, pocket audio players (remember Zune?), etc. Fortunately for all involved, investors are already wondering if an AI correction is coming? I think we may see a wipeout of a lot of investments in AI soon.
That's so wild. Many small businesses in my area give you a discount for paying with cash. They pass the card fee onto the consumer, but it's baked into the menu prices.
It might cost them a little more to handle cash, but a 33% premium is a little excessive.
As a Brit it amazes me that this is even a concept. I've certainly never heard of it. We park whichever way is convenient.
Yes, but not gonna lie. Generative AI has made it much easier.

I don't have formal programming, and it shows. Gen AI has made it easier to build that stuff.
Any time I get excited to go and try a Lisp, the tutorial will state categorically that I need to install and learn EMacs as well.

And that is where my excitement quickly ends. Why is it so difficult for languages in these families to integrate with other editors?

Note: I’ve gotten a decent neovim setup going with Guile before, but it involves using Fennel as the configuration language and some other plugins besides. It just feels so overwhelming to jump through so many hoops for the (apparently amazing?) ability to affect a running interpreter instance.
> squeaks that are physically painful

Those may be covered under loud noise regulations, if the official measuring machinery has the cutoff frequency set high enough (no reason why not).
> in applications requiring accuracy

You have it right there. There is a large set of applications that does not require accuracy. These applications will benefit hugely from LLMs. Examples include recommender systems, knowledge extraction, transformation, etc. all in domains where accuracy does not matter too much.

In particular, instruct aligned LLMs makes it very easy to integrate ad hoc machine learning into an application.
Screw franchises and franchising. That's the kind of business model we need to get rid of, because it's basically a "subsidiary" model that shields the parent company from liability.

At the very least it complicates the dynamic. "Am I really hurting Dunkins or am I just ruining a small business owner that pays a crap ton of money to the franchise owner and mortgaged his house to open this little franchise of Dunkins".
My uncle is a bit of a Luddite and doesn't like how the world is changing, but he has one very good story I think about often.

Imagine you live in a town. In that town, you go to the local butcher, and you buy food with $100 cash. The butcher takes it to the local baker and he buys $100 of bread. The baker goes to the local mechanic and pays $100 to get his car worked on. Around and around, always $100 kept local in the town.

Instead, the reality of our world is we all use a credit card, and 2% gets taken every time. Soon enough no local has any of the original money.
It's surprising that the main thrust of this is surprising. Do biologists not tend to think about electromagnetic force and it's implications?
Git as a source of truth for network automation (2021)
It is possible that they are asking for more money because:

1. few people pay with cash and the company must handle those transactions differently for those few people. This may be seen as an unacceptable inconvenience and may cost the company more in employee training and the handling of the funds

2. customers that pay in cash may have no choice, or may choose to pay in cash on principle

In the second case I am speculating that they may be exploiting a niche population that they believe will pay the higher price. Consider that while some people may choose not to pay in cash due to the higher cost, case 2 accounts for those specific customers that will knowingly pay the higher amount in cash.
The market for bullshit is infinite.
If Intel allowed you to do "MOV RAX, [address]" (inferring the QWORD PTR part from the "RAX"), most peoples' primary aesthetic objection to the syntax would be gone.
> FMLA will specifically exclude things like taking time off for routine medical care, because it's specifically not for those purposes.

I am going to have to disagree with you there: continuing care and mental health days are covered under the FMLA as I read it.

https://www.dol.gov/agencies/whd/fact-sheets/28o-mental-heal...

> LEAVE FOR MENTAL HEALTH CONDITIONS UNDER THE FMLA

> An eligible employee may take FMLA leave for their own serious health condition, or to care for a spouse, child, or parent because of a serious health condition. A serious health condition can include a mental health condition.

> Mental and physical health conditions are considered serious health conditions under the FMLA if they require 1) inpatient care or 2) continuing treatment by a health care provider.

> A serious mental health condition that requires inpatient care includes an overnight stay in a hospital or other medical care facility, such as, for example, a treatment center for addiction or eating disorders.

> A serious mental health condition that requires continuing treatment by a health care provider includes—

> Conditions that incapacitate an individual for more than three consecutive days and require ongoing medical treatment, either multiple appointments with a health care provider, including a psychiatrist, clinical psychologist, or clinical social worker, or a single appointment and follow-up care (e.g., prescription medication, outpatient rehabilitation counseling, or behavioral therapy); and

> Chronic conditions (e.g., anxiety, depression, or dissociative disorders) that cause occasional periods when an individual is incapacitated and require treatment by a health care provider at least twice a year.

> REASONS FOR LEAVE

> Leave for the Employee’s Mental Health Condition

> An eligible employee may take up to 12 workweeks of leave for their own serious health condition that makes the employee unable to perform their essential job duties.

> Example:

> Karen is occasionally unable to work due to severe anxiety. She sees a doctor monthly to manage her symptoms. Karen uses FMLA leave to take time off when she is unable to work unexpectedly due to her condition and when she has a regularly scheduled appointment to see her doctor during her work shift.
it is not enough
The HTML source code is a well-commented, fun read.

- There's a fair bit of math to model drag, mass, and density using the specific gravity of ice and seawater (with tweaks to make it more realistic for 2d).

- Try adding a polygon that overlaps itself (self-intersects).

- You can paste images! The code traces the image and picks the most complex polygon.
It’s also just a framing issue. You can make cash more expensive or say that cards receive a discount.

I’m not sure if it remains the case but a lot of stores near my university had “$1 fee for credit card” which was against TOS. And one week we noticed they all suddenly swapped to “$1 off if paying with cash. A $1 fee applies to all purchases.”

Of course that’s the opposite of this, but it’s the same idea. Ultimately a company has lots of ways to say “we prefer to do business in a certain method.”
I am pretty sure it's the simulation.
Fair point, I should have said "lens".
Took the same class at UCI (with Prof Anton Burtsev). Best class I ever took.
The problem there is that you need junior workers in order to have senior workers.

And in the legal space with LLMs being at best 65% accurate I am sure most will stick with associates for a while yet:

https://dho.stanford.edu/wp-content/uploads/Legal_RAG_Halluc...
Discussed at the time:

Second Sight left users of its retinal implants in the dark - https://news.ycombinator.com/item?id=30349871 - Feb 2022 (85 comments)
I think the biggest hardest tradeoff is just relating to a world where not only is there a huge dissonance between your strong stirring passions & beliefs & other's, but where most people flat out don't have strong stirring passions. Most people are not absurdly driven into deep shit. Most people don't love their day feeling torn apart by wanting to know or wanting to make the things, most people aren't living in their future possibles.

> Paul Graham talks about an underrated quality one needs for extreme success, namely the willingness to be low status. And Karikó had plenty of that: she lived her convictions, in this case the conviction in the importance of mRNA through rejections, humiliations (her office was vacated without her having received prior notice) and hardship. I would go even further and say: she had intellectual courage

Spoken of as courage and low status, being on the pursuit. But societally what I think is most under-stated is the dissonance.

Bruce Sterling's Reboot 2011 put forward two modern archetypes. The first isn't super relevant here, but Favella Chic, being low resources but amazingly cool, bending & reusing whatever you can scrape together to be cool as hell & on top of your shit. The other is High Tech Gothic, where you are wired to the 9's, a master of your domain, amazingly capable & competent, but desperately alone & on your own; a It's Lonely At The Top / The Crown Wears Heavily sentiment.

This idea of apartness, the stark difference of values and beliefs and actions between the individual and the world they see about them: I am so glad to have had some referents for this notion, it's been so helpful. And personally, mulling it over, I keep thinking, it's not really the Weird Nerd's issue. It's not really their problem per se; another view is that the world is failing to hook people, failing to expose them to the raw awe and majesty of possibility and science, failing to inspire exploration & discovery & maker-ship that such an amazing universe of possibilities and circumstance has created around us.

As the Butthole Surfers song Weird Revolution says, The so-called weirdos in this country stand as completely freaked out by the normal man as the normal man is completely freaked out by the weird masses reaction to him. It's worth assessing not just the weirdos as the weird ones! And it's worth telling them, letting them know, this dissonance between your world and the so called normality isn't necessarily your fault, isn't necessarily something wrong with you. I don't think we duly sympathize or grok the alienation the weirdos suffer with.
I’m not sure how relevant this is, I would think almost every laptop is this way.

Even a modular laptop like a Framework will end up with the user replacing a whole lot of components in that situation. It will be less wasteful but the cost will still be high.
Very little research can be done by just one person working alone. A huge part of 'doing research' involves getting other people to do research in support of your research.
FOMO, probably. Just like any other tech bubble, really.
They do but that doesn't lend to a hype topic for writing poorly about

https://en.wikipedia.org/wiki/Developmental_bioelectricity
> There is no obligation for a business to support payment methods that require them to increase costs (in theory) for all customers to cover the loss of dealing in cash.

I believe some cities have passed laws requiring cash to be an option. Philadelphia appears to be one, though there are various exceptions: https://www.inquirer.com/consumer/philadelphia-music-venues-...