skysight-inc/HackerNews huggingface dataset:
> There is no layer of indirection. There is no room for someone to lie to themselves. Additionally, the bias for chatGPT is actually in the other direction.

Bing search and customer service chatbots, for example, give a layer of indirection. Spam emails, LLM-generated legal briefs and term papers have indirection when the recipients (judge, professor) don't interact directly with the LLM. Since interacting directly with ChatGPT takes some skill and doesn't seem immediately useful most people will interact with it through things like search engines and friendly chat widgets and word processor plugins, just like programmers already interact with an LLM indirectly with Github Copilot.

> Nobody wants to believe that an AI can trivialize their skill set. People would rather believe chatGPT is garbage because that is what they prefer to believe.

They may not want to believe it, but you must have seen the numerous articles -- many of them posted on HN -- about exactly that happening. Not a day goes by that HN doesn't get multiple posts expressing fear and worry about "AI" taking over their job soon, or making the job redundant. And people may simultaneously believe "ChatGPT is garbage" and worry that they will lose their job, or get killed by a robot drone.

I argue that too many people already have a bias towards believing ChatGPT/LLMs equals AGI, because the media has primed them to believe that. The term "artificial intelligence" itself gives it away. If no one used "AI" to refer to ChatGPT et al. and instead called them large language models that might help people realistically evaluate LLMs as tools rather than as a true artificial intelligence. The term AI has been applied to so many ideas, fantasies, experiments, and now products that it means everything and nothing, and every individual can and will interpret that according to their own biases and knowledge. Of course "AI" sells a lot better than "LLMs" and we're seeing the self-serving hype in full-swing already, as numerous companies and VCs try to capitalize and recoup their losses from the last hype cycles that people got wise to (crypto) or never got interested in to begin with (Web3 and metaverse).

I'm old enough to remember when scientists successfully cloned a sheep, and immediately the media, popular and specialized, cranked out story after story about how cloning would reshape humanity in just a few years. We were told that human clones were just around the corner, with all the attendant hand-wringing. Of course that never happened, but I wouldn't find it all surprising to poll random people and find that they believe human cloning happens all the time, because the hype didn't get followed by a correction or apology.
> Where are these incentives for self-driving algorithms?

Surely the equivalent is the reward during training?

> If your algo breaks the law to a sufficient level, is someone(something?) prevented from driving for a time? Is that really going to be just that one vehicle, or should it be all vehicles with that same algo? If something really bad happens, who is charged; in the worst case, who might end up going to jail?

Personal opinion:

Algorithm should learn from fleet and should be shared by fleet; therefore all accidents should be treated like aircraft crashes and investigated extremely thoroughly with a goal of eliminating root cause.

If that cause was CEO demanding corners be cut to boost shareholder value then jail them; if it's that the algorithm had, say, never seen a flying shark drone[0] before, and misclassified it as a something it needed to take evasive manoeuvres to avoid and that led to a crash, then perhaps not (except anything I suggest probably should be in their list of things to check for, so even then perhaps it would still be a CEO-at-fault example…)

[0] https://www.amazon.com/RiToEasysports-Control-Inflated-Infla...
Brake and tire dust absolutely are a problem, even if it’s inconvenient for you. Reducing fine particulate matter pollution is a major concern. That it translates onto railway is fairly unsurprising.

By the way, EVs reduce brake dust since they are basically braking magnetically a lot of the time.
There are actually several tools in this vein. Although there are a handful that do, some others don't even go by the name "cat" at all.
I think this is missing half the story. Niching down is a great way to differentiate in a crowded market and thus get started in the face of competition. The second part is to then expand our of that niche into adjacent areas, using the momentum you've gained through your differentiation. That's where the excitement and possibilities come. He's missed the second part of the journey.
In the comments they say that "tampering"[1] is done once every year and the wiki page does not mention cleaning as an objective. Tamping is done to readjust the ballast making the track more more level and durable. (One can infer it does some cleaning as well - getting rid of the topmost dust layer)

https://www.youtube.com/watch?v=zNFUgTJR6jw seems to be the full cleaning procedure

[1] https://en.wikipedia.org/wiki/Tamping_machine
I Built the First Invisible PC Setup [video]
To some extent Tesla is already going to need to resolve this hardware discrepancy issue. The new HW4 revision vehicles will have 4D imaging Radar and forward mounted side facing cameras (https://twitter.com/greentheonly/status/1625905220432671015?...) to address the blind spot that they've had since the original hardware (https://youtu.be/DlC2tpRocK8). HW3 vehicles cannot be retrofitted with HW4 (https://twitter.com/greentheonly/status/1625905186387505155?...) so this will likely be a large sore spot in the coming months as HW4 vehicles start hitting the roads and people start noticing the discrepancies.

Tesla of course claims that the HW3 cars will still get FSD at some point, but unless they somehow figure out how to bend light, that blind spot will continue to be an issue on older cars.
Application monitoring is a critical aspect of ensuring the smooth functioning of any software application. It involves the continuous collection, analysis, and visualization of data about the application’s performance, availability, and other metrics. By monitoring these metrics, one can quickly identify and troubleshoot issues, optimize performance, and improve the user experience.
Or perhaps the book + human system does
I do definitely agree that something is lacking in current mathematical education, but calling your own counter-program "intellectual mathematics" is a bit ... on the nose.

Judging from the rest of the website, the author appears to have some rather idiosyncratic opinions. For example, he seems to be unconvinced that rigour is an essential component of mathematics (even going as far as claiming not to understand what it means): https://intellectualmathematics.com/blog/what-is-rigour-anyw...

He also has his own take on the "two cultures" distinction often postulated for mathematicians, but also apparently assigning distinctly less value to so-called "lesser technocrats", seemingly going as far as calling Euler of all people a "technocrat" and calling into question the value of Euler's famous equation e^pi*i = 1 - why? https://intellectualmathematics.com/blog/four-types-of-mathe...

I see no indication that the author doesn't know the mathematics he's talking about, but I also feel like he's incredibly biased towards the particular way he likes doing mathematics without considering that there are legitimately valid different approaches to doing mathematics - probably even among students.
Everyone deserves safe housing, living among raving maniacs is not safe, ergo we need to house dangerous people like that separately. Ideally in a way that helps them the most.

Shuffling mumblers are not dangerous.
GLONASS transmissions have fields for earth orientation parameters that are too small to allow for unbounded DUT1: it has a built-in assumption that its system time is close to earth rotation angle.
No, I never claimed that US is currently enforcing antitrust laws often. But that does not mean they don't exist. See https://en.wikipedia.org/wiki/United_States_antitrust_law
I wish we got more substantial critique than ad hominems, but it is out there, and some of it’s really scathing.

Essentially, it boils down to that the most pessimist AI doom arguments are built on a stack of mind experiment hypotheses that are each far from certain to actually occur, or to be unsolvable if they do. And also that a significant portion of those holding those views fall in fallacious mind-traps that resemble a classical doomsday cult too similarly to ignore.

All of these claims can and should be continuously investigated during future research, as both the hypothetical accidents and deliberate misuse definitely seem anything between possible and likely.

But when the suggested solutions — totalitarian research bans and in the extreme, literal nuclear war causing near-extinction of humans (Yudkowsky deleted a tweet to this effect) — are so counterproductive, strongly worded rebuttals are appropriate.

I do agree that those strongly-worded objections should be more prominent.
They are called similarity digests or sometimes "fuzzyhashing". For generic files there are Context Triggered Piecewise Hashing (CTPH), Trend Micro Locality Sensitive Hash (TLSH) and Similary Digest Hash (SDHash)
Telnet is usually removed from all contemporary development servers as a "security compromising tool". This renders problems much more hard to diagnose
Tools and Processes for Collaborating on a Book Remotely
Mosquitoes, wasps and parasitic worms could help make injections less painful
Whether scaling laws hold or not, is up for debate.

What isn't up for debate, is that:

1) Giant serverfarms are expensive
2) People want on premises/on machine solutions
3) LoRA Tuning of small models continues to excel
4) Thus specialized models continue to evolve at a fast pace
5) Open source foundation models on which tuning can be done are accelerating by the week
6) Performance doesn't matter once a model is "good enough" for a given task

The long and short of it is this: LLMs are a fantastic technology, and people want to have it. And they want to have it local, private, and as cheap as possible. Just one example, how many devs are out there who would love having a local LLM model integrated into their IDE? The answer: Yes.

And again I draw your attention to point 6): For such use-cases, It doesn't matter if a gargantuan model performs a bit better ... if the small model is good enough for the task, then it wins, purely by being private, offline and is free to use.

We are already at a point, where small models are competitive for specialized tasks, and aren't performing bad at all as general models either. What will it take for bigger models to out-perform them so enourmously that customers simply have no other choice than to use them? A 5x increase in size? 10x? 100x? Where do we run models with trillions of params? What will that cost, and how available will that be?
Speculation. Lynching was also allowed at one point, and then it wasn't
What is the difference to htmx?
Functions that create collisions can still hashes can't they?

Things like CRCs, Checksums are loosely considered hash functions: https://en.wikipedia.org/wiki/List_of_hash_functions

MD5SUM is a classic example of a hash function with a low (but still reasonable) chance of a collision
This argument is really dumb. I understand deaf people can drive, too, but the additional auditory input is very helpful. When an emergency vehicle is far behind me, I hear the sirens and know to look in the mirror and move right to let it pass me. I can hear the bells of a railroad crossing even if I cannot see its lights blinking due to the road curvature, and start reducing my speed so I approach it smoothly. Some stupid junctions like the one described below, I hear a car approaching well before I can see it.

That said, there is no point making a self driving rig if it’s going to only be as good as the best humans are. For adoption, it must be provably better in any situation imaginable: moving obstacles, weather, dust, dark drunk humans in the night, emergency vehicles, no lanes drawn on the road, read all road signs correctly (say my Yaris gives me mistaken readings where maximum mass is confused with speed, it doesn’t know what “built-up” area means with regard to speed limits, it sometimes reads a sign that belongs to an adjacent road). For it all to work, you need more input than vision. And redundancy. Lots of redundancy.
ahh, I just had an entire free day, a hot day here, and walking through the park with my coffee I couldn't find a single unoccupied park bench that was in the shade. I ended up sitting on the stone foundation of a veterans memorial while I was doing my sketching. It wasn't as good, and I was jealous of the people who'd gotten benches.
Did you intend to reply to me? The reason we are trialing these systems on public roads is because that is where they must operate in order to make sense. It's not about safety alone.

To respond to your tangent: Breathalyzers are not all that reliable, nor is GPS localisation... And a national speed limit would mostly reduce revenue (not to mention the new problems regarding who is liable for maintaining the limit correctly). There is a great history of implementing practical safety requirements, maybe not the first globally, but when it becomes practical to adopt something we generally do.
No, that's a tamping machine: it packs ballast to level tracks. See https://en.wikipedia.org/wiki/Tamping_machine
US and allies stand to lose well over $100B by banning Huawei
As I understand it, most people's objection to the calls for regulation are based on the fact that regulation raises the barriers to entry for competition. Regulatory compliance can be expensive and favors those with deep pockets. The more AI startups one can prevent from starting/growing now, the fewer competitors there will be in the future.
I believe FAANG still exists, did I miss something?
at least one of those options lets people who don't choose to be drug addicts have a nice day in the park.
The best thing about that one is that it seeds the panel with a random number every time you refresh
Microsoft Terminal still has some oddities that PuTTY does better, including REP of Supplementary Plane characters, but now the converse is also true. (-:

* https://github.com/microsoft/terminal/issues/15390

PuTTY is used in thin disguise by all MobaXTerm users, of course.
Why do trains in India go off tracks?
About the "massive scratches": This is the first time I have ever heard about it. Why don't we see more comments about it here (and online)?
In fairness, that's many more years using the resources of probably the most lopsided government in human history racing to embarrass a rival. Do we think Google could put a man on the moon using 60s tech? They can't even make a messaging app (burrrrrrrn :)
Without the sites being JS heavy shouldn't everything be fast enough already?
> Immediately, someone suspects it’s a specific third party that you have a hard reliance on. You check the status page of this service, and it says everything is fine. You have to keep searching.

Theres a solution for this. Implement a continuous testing suite for your dependencies. I once had an internal service dependency which had poor reliability and was slow to notice or acknowledge problems. Burned too many times, we implemented our own test suite and ran it continuously against their service. Now when they had an outage we could instantly isolate it from our stack. This became our own status page for their service, and they eventually improved their reliability.
I think there's zero chance that OpenAI won't create a full-scale vector solution in the near future. The market is too big for them to ignore the need for people to upload and query their own data. Which, as others pointed out, might be the reason they wanted to remove this because Sam said, "We have no plans to expand beyond the UI.".

If you look at Pinecone, their Standard plan is $70 a month. Like, OpenAI already does some memory management in the interface - it makes no sense to ignore the earnings potential with this, which would give them more runway to spend on training future models.
Honestly, VIM.
Asking for regulation soon after your company has gained a substantial (but probably transient) lead in a market sets off people's villain detectors, especially people who have seen the same things before. Sam may not be a villain and may believe in everything he is advocating for pure reasons, but it is right for people to be critical and skeptical. Sam will be okay, he can handle some haters.
Hypocrisy at it's finest. Businessinsider complaining that content "created by companies" is being used by OpenAI, Google and Anthropic ...

What content do they mean, exactly?

* Reddit content

* Twitter

* News

Let's just say I disagree at the characterization of this content as being owned by those companies.
I just don't think you understand the laws deeply. You seem to indicate you know what you're talking about and I think you do, but your understanding is surface level, i.e it is someone else in your organisation who told you how these work.
According to the description of the video you posted, the ballast cleaning machine is then followed by a track laying machine, https://youtube.com/watch?v=tMXfU8blPMM . What an incredible machine!

> they say that "tampering"[1]

I believe you mean tamping. :-)
> I am tired of humans downplaying other species for one reason or another.

That’s not what I took from the comment you’re replying to. Quite the contrary. It is perfectly congruent to agree that humans are not that different from other animals and to ponder if dogs take bath time cues from us instead of knowing which time it is.

It is even possible that dogs could do both. But just like we shouldn’t be quick to assume non-humans can’t do something, neither should we be quick to assume they do it.

The mentioned Clever Hans case is a good example. The trainer misconstrued the horse’s ability to do basic arithmetic (not that impressive by human standards) when in fact it was picking up on tiny cues the trainer didn’t even realise (which is potentially more impressive than a human).

https://en.wikipedia.org/wiki/Clever_Hans

By outright assuming a non-human is smart because it can apparently do things we can in a limited fashion (telling time, performing calculations) we’re doing them a disservice. It is by striving to figure out how they really reached a conclusion in their own way that we truly connect and learn.
Shepheard’s Hotel, Cairo
Canada to set up cyber security certification for defence contractors
https://news.ycombinator.com/item?id=19178885 already exists.
Not sure if this is being done here, generally just framing benches in terms of "value" is fundamentally looking at it with a capitalist lense.

Even socialism sees leisure equipment as part of the system.
Intercity trains in Netherlands are EVs.
Restoring the Amazon could aid climate control, but it's challenging
AFAIK injections are not painful.
I've never applied for a tech job other than when 12 years ago... managed to snag a few jobs since then just from being skilled and noticed. Recently, as of 2023, I figured I'd just put myself out there and see if any companies would bite. I don't need a job though I have always worked two jobs.. and I've been without a second job for over a year. So acquiring skills of programming, web development, graphic design, web design, software engineering, marketing. Why not?

Indeed.com

I wanted to see what was out there and who would respond. I applied to over 50 jobs. Every single company received a personal cover letter from me and resume. Only about 10 responded. Of that 10, 3 or 4 asked for a further interview. Of those further interviews, none actually ended up happening. Waited for emails, waited for notifications.. nothing came. I'm probably not qualified.

I love my tech job and hope I keep it, but I've been in the ongoing process of prepping for when the time comes so I don't have to worry.. trying anyway. I invested in two rental properties which bring in almost $2k a month and have plans to rent out my house.

In addition... and all honestly, I'm tired of working for corporations that will replace you in a heartbeat or make promises that none ever keep. I love my job. I love the company I work for. But I eventually want to work for myself and my own clients.

So 100% agreed.. gave the job search ordeal a try... and it's just a tedious process that doesn't seem to go anywhere. But in tech, there's soooo much competition.
Yeah... I mean, ultimately it's a private company and it can censor its platform how it wants. This means that it is welcome to include more hate speech, which clearly it is doing.

Not arguing that. But I do think it had a better set of standards for this before it came down to the subjective whims of how Musk was feeling on any given day.

Also, no one has ever considered misgendering hate speech in any legitimate conversation. If you have examples of people legitimately getting censored for misgendering someone, I would love to see it...
I'm not sure about others, but I use putty almost every day. It's a bit less than it used to be since Windows now has a decent ssh client and terminal.
I wonder if this kind of thing is found in other languages. for example i can't think of any in French (i am French) even "it is what it is" which I would translate by " C'est comme ça" (it is like this)
I believe that EVs on average are associated with higher particulate matter "emissions". Noowadays the majority of PM comes from the friction/erosion of tires on the road (as combustion soot gets filtered out due to regulations). Since EVs are typically much heavier due to their batteries, their tires give of more PM per km driven.
So with the disclaimer that these views don't reflect those of my employer, as someone who works in the industry I think this article is basically spot on. The only point I would add is that the top line cost for all these vehicles is quite high right now, so scaling up the service alone isn't really a solution to the profitability problem. I won't get into specifics, but I think this blog post from Cruise summarizes the point pretty well (https://getcruise.com/news/blog/2023/av-compute-deploying-to...). The term "edge supercomputer" really is the best way to describe AV hardware deployment. And that doesn't even cover the sensor suite which is quite costly as well.

So if I was a betting man, I'd say that you can expect Cruse, Waymo & others to scale a little bit now, just to show investors that they can but for them to really save the bulk of the scaling (to hit that targeted figure of 1B/yr of revenue) until after they've found a way to get the costs down. That's going to come in the form of more bespoke vehicles that are better vertically integrated with custom hardware and sensing solutions (like the Cruise Origin).
>It’s appropriate to criticize Waymo and Cruise for incidents like this, but we should also maintain a sense of perspective. While these incidents were undoubtedly frustrating for everyone involved, they don’t seem to have posed a serious danger. Incidents like this help the companies learn and improve their technology.

Well officer, I'm sorry I ran through yellow tape and killed a paramedic responding to the crash scene, but have some perspective. I've now learned not to do that, incidents like this help me improve my driving ability.
VW bus back to North American market after 20 years
What you're describing sounds a bit like Lemmy [0].
In essence it's a federated reddit.
Anyone can host their own instance with its own rules/topic. And each instance can have communities (subreddits).
You can subscribe/comment to any of the other instances' "subreddits" from your own instance.

[0]: https://join-lemmy.org/
are still hiring though?
I can easily see that the three axioms will hold for any subject matter (not just mathematics). Why even focus on a particular discipline?