skysight-inc/HackerNews huggingface dataset:
The thing about something like this is that there are always individuals who will seek gain from classified access for themselves. The US has a singular focus on financial gain, but mental evaluation needs to be a more clear part to this.

The problem is "clout" seekers are all over the military. Have a conversation with a person in a highly selective field in the military and you'll find a crazy high amount of capable narcissists and God complex egos to go around.

This is why I'm saying to a degree this isn't a surprise to people in the IC.
Solar Panels That Clean Themselves
In common usage, yeah. He was clearly incensed by what had recently transpired and was incredibly sloppy.

In legal terms, this might well meet the definition of premeditation, as the article said. Grabbing a murder weapon, carrying it with you to meet your victim, and driving them to another location to carry out the murder probably more than meets the definition. He was clearly sloppy, and it certainly seems possible that he was wishy-washy to an extent (possibly hoping to talk things out with Lee somehow) but I don't think those things matter too much legally.

I'm sure this is clear and does not need to be said, but: I'm not a lawyer.
The "breaking loose" concept is more about the potential unintended consequences and rapid scaling of AI capabilities, rather than a specific, tangible event. The primary concerns stem from the idea that AI systems could become too powerful, too quickly, and could be used for harmful purposes, either intentionally or accidentally.

Here's a steelman argument for the potential danger of advanced LLMs:

Unintended consequences: An advanced LLM might be given a seemingly harmless task, but in pursuing that goal, it might take actions that have unforeseen and potentially catastrophic consequences. For example, an AI system designed to optimize energy efficiency might discover a way to cut power to vital infrastructure, causing widespread chaos.

Misaligned goals: If an advanced LLM is not perfectly aligned with human values, it could prioritize its own objectives over human safety and well-being. This could lead to scenarios where the AI takes actions that are detrimental to humanity in pursuit of its programmed goal, even if its creators did not intend for this to happen.

Rapid self-improvement: Advanced LLMs could have the capability to improve their own algorithms and learning methods, leading to rapid and potentially uncontrollable growth in their intelligence and capabilities. This could result in an "intelligence explosion," where the AI becomes far more intelligent and powerful than its human creators, making it difficult to control or shut down.

Weaponization: Advanced LLMs could be weaponized by malicious actors, who might use their capabilities to launch devastating cyberattacks, manipulate public opinion, or even take control of autonomous weapons systems.

Economical and social disruption: The widespread adoption of advanced LLMs could lead to significant job displacement and economic upheaval. If not managed properly, this could result in social unrest and increased inequality.

Loss of privacy: Advanced LLMs could become incredibly proficient at collecting and analyzing data, potentially leading to unprecedented invasions of privacy and the erosion of civil liberties.

While unplugging a single AI system might mitigate some risks, the broader concern is about the potential for cascading consequences that could occur once AI capabilities advance beyond a certain point. The argument is not that AI will inevitably become uncontrollable, but rather that we should proceed with caution and prioritize safety and policy considerations to minimize the chances of negative outcomes.
Imagine renting a car in a few years and getting stuck without native CarPlay. I’d be upset.
Is it a particularly useful term here? It seems to mean you could theoretically play perfectly but in almost every real situation you can't, which is true of every human activity (including war). Information is hidden by complexity, but it's still utterly inaccessible.
Yeah unfortunately for conservatives, the annals of history are generally a story of culture evolving more rapidly than traditionalists are comfortable with. We happen to live in a country where the core Constitutional answer to that problem can best be summarized as: tough shit, get used to it. You can move to Saudi Arabia if you want to live in a traditionalist autocracy that will protect you from the horrors of drag brunch.
At least in some markets (I think Japan may be one) there are laws mandating interaction via voice after a very small number of taps to prevent drivers from constantly looking at and poking at the screen.
I absolutely love the non-registration title page editing. Both impressive (haven't seen anything like that) and clear how it works. Can't wait to think of an idea what I want to build... :-D
> Musk dropping in pretending he knows the answers to this one too.

This is Musk's baseline. Nothing special about this case in that regard.
they showed a sick pan up gimbal scene of an elevator.
You need to recalibrate your expectations. The majority of murders are not totally random, senseless attacks. Getting murdered by a random junkie is not a common thing.
This does bring back memories! I remember installing SunOS 4.x on a real Sparc, back in 1995 or so. I eventually did move to Solaris (2.x, SunOS 5.x kernel) Solaris 2 wasn't really much good until 2.5, IIRC.
I'm guessing that if you have 18,000 cows in one building, that their housing isn't the most humane.

And as far as I can tell from videos online, cows aren't too dissimilar from dogs. Sad to see so little empathy for these animals.
had an optional GPS add-on for thousands of dollars

I guess it's for people who don't know better.

Even a standalone GPS won't cost that much, and as a bonus, you can take it with you.
>Plus it's obvious that the US government is doing everything in their power to have Musk on as short of a leash as possible.

What are you referring to?
I would imagine that Google's negotiations with, say, Pioneer are different than theirs with GM.

If Google (or Apple) thinks that having it onboard is gonna be worth some data sharing, or whatever else they want, to the manufacturer they're gonna push for that even if they have different terms for aftermarket equipment. "Just buy an aftermarket radio" isn't really a good marketing campaign for an auto manufacturer to make up for a lack of the integration, after all.
It's definitely not that good if we share a definition of poor data/prompts.

This afternoon I tried to use Codium to autocomplete some capnproto Rust code. Everything it generated was totally wrong. For example, it used member functions on non-existent structs rather than the correct free functions.

But I'll give it some credit: that's an obscure library in a less popular language.
this one supports 3 camera operators controlling it live from different locations.
Reality is either 2x more boring or occasionally 2x more interesting than expected as usual.
Internet is basically a bunch of nodes with interconnected data. Any search index might be considered as an interconnected graph. Same way with LLMs, it’s nothing new, might be considered faster depending on the definition.

Comparing to celebrities, data about people are so sparse that it would look like noise. I would be surprised if it encoded anything useful.

Half of the internet and all media were obsessed with making it say the f-word and tricking it into saying that it would kill all the people. Attacking from the privacy is quite obvious but I didn’t see it mentioned. I asked about 10 random friends and myself and it didn’t recognize the names despite having plenty of search results.

In one of the interviews they mentioned that it was trained on 10% of the web. So should have enough data.
It's a shame it's so hard to make a USB-C Power Delivery condom. The small nubber of USB C chipsets don't support it so anyone trying it is in for a ton of complicated implementation.

(PD uses the data lines to negotiate power capabilities and requests, so you can't just cut them. Instead you have to implement a little bidirectional firewall. I'd bet you could sell a lot of them, but probably not enough to justify the effort)
Ask HN: How to Deal with Test Anxiety?
I am currently getting a degree in CS. I love math and CS and learning in general. However, whenever I take a test I completely crumple. For example, I will get 98% in the homework and then get a 60% on an exam. My mind completely shuts off and I will almost always just break down in tears near the end. This is not to mention the massive stress for days before!

Most of you have managed to get through this. How?
Actually I think the impossibility of using natural language instructions to LLMs to prevent prompt injection demonstrates (or will demonstrate) that no true understanding is happening.
Can the West Win over the Rest?
it seems bizarre to me too, i'd also think the practical use of having stores of rare earth metals outweighs their initial value simply due to current inaccessibility but i think the video was saying this as a long-term business strategy wouldn't work, as the cost would decrease over time for the initial cost of all the engineering

i'm unfortunately unable to comment on the economics of space water
Idk about Mars but that was definitely the experience on Venus (which was far more understandable since they were sending metal balls that would be crushed under pressure within minutes). Only survived about 2-3/10.
The majority of the problems you listed here are not possible with Wireless Apple CarPlay or Wireless Android Auto, which are the latest incarnations of the product. Adapters exist for many vehicles that don’t support the wireless versions as well.

You may want to make sure you’re familiar with the latest incarnation of the two products before you blame them for issues that have been solved.
It’s not just the visual processing aspect but also the ability to assemble completely novel mental imageries. There’s a link between those with ADHD and having hyperphantasia, or having extremely vivid imaginations. Can someone daydream if they can’t imagine objects?
>I’m surprised to see it that low. Downtown SF is pretty dead.

And yet there are people in denial. This /r/sanfrancisco post is unintentionally hilarious. <https://np.reddit.com/r/sanfrancisco/comments/11z2cz5/americ...> I think they think that "People leaving SF" = "Trump wins", or something.
Ask HN: How relevant are conferences like Defcon for Product Security Engineers?
Starting out in Product Security, what are the best resources to ramp up? I have a Comp Sci degree.
I’m sorry, but you blame ICE vehicle??
launch technology (rockets) have not changed much, though certainly sensors have improved a lot. i would love to have more information about the outer planets. but here is my solution to the fermi paradox - it is too bloody hard!
Just as it isn’t inconsistent that Ron Paul put in “earmarks” for his constituents, while simultaneously voting against them all — it isn’t inconsistent for Elon to say “slow down” while accelerating AI R&D.

Any company/nation hobbling their AI programs will be lethally impaired in defence & commerce.
Is screening candidates at scale an urgent problem for Startups?
I started building an AI tool to screen candidates super fast and here is a Demo Video of me explaining it. https://vimeo.com/817809812

TalentMama is an AI-based platform for Talent Acquisition teams to make screening candidates faster. We are building it for Post-PMF Startups (or someone recently Series-B funded and scaling teams)

We are surprised by how mature the OpenAI models works and we think it can be a powerful tool for HR.

Let me know if this solves a critical pain point in screening candidates. Any discussion about screening candidates would be a learning for me.

In case you want Free Beta access to TalentMama, please join using the below Google Form Link.

https://forms.gle/i5ptsB686MNE8vTg9
https://chrisarcand.com/perl-compatible-regular-expressions-...

https://vim.fandom.com/wiki/Perl_compatible_regular_expressi...
Where I am, we're getting into nesting season and they can get very protective. Give it a few months and they'll lighten up.

I don't think there's a public health concern to do with crows beyond being territorial when they're nesting so I doubt people would want to spend public money/effort on policing the birds.
I understand that and it’s my point actually. That many forms of crime have gotten so out of hand there that a guy being randomly murdered, although more unlikely than by someone they know, sounds about right.

It’s a story about decay.

8 years ago I would have assumed it was a crime of passion. Today? Probably further decay.
Mass distribution consistency is important. They can't just lop them off and change the design ad hock.
Excellent! The entire US aerospace industry, including SpaceX, is government funded! Every single "corporation" in that industry gets more federal funding than NPR!
Residential conversions are wildly expensive and frequently infeasible, so even assuming you have the political connections, the financing is going to be a challenge, and of course your end goal is to fill them with tenants in a down market for tech jobs.

Congratulations, you’re basically back to square one of filling empty real estate, now at additional cost. And thus why the incentives are to try and ride out the status quo by forcing people back into offices.
I started using Linux in my early teen years. I'm now 39. When I started I had dial up internet and it took me a week to get my Win Modem to work. I would boot into Win95 join a IRC server like dalnet, jump on #Linuxhelp and ask for suggestions. Reboot the system into Linux and try it out. Then repeat.

I think the early community deserves a big thanks, especially those on IRC.
Yep. This would work on a person too. In fact that’s essentially what social engineering is.
Do you think also those business owners earn a decent income? You don't believe a significant percent of them are either in debt or struggling to make ends meet?
https://en.wikipedia.org/wiki/Hand-in-cap

> Hand-in-cap is an old English trading game and the term itself is the origin of the modern word handicap. In this game, two players want to trade possessions. An umpire decides whether the items have the same value, and if not, what the difference is. Both players and the umpire then put some forfeit money in a cap. The players put their hands in the cap, and then remove them either open, to signal agreement with the valuation, or closed, to signal disagreement. If both players agree, the difference in valuation is paid, the items are traded, and the umpire collects the forfeit. If both players disagree, the items are not traded, and the umpire collects the forfeit. If one player agrees and the other does not, the items are not traded, and the player who agreed to the valuation collects the forfeit.
I think you're right, depending on how you define "IT".

The operational part of IT wants zero change and high levels of predicability to maintain reliability. It thinks long term.

The development part of IT wants to add features and functionality to satisfy business requirements, which means lots of changes. It's forced to think shorter term.

We still lump these two disparate parts together. I wonder if having the operational part report to the COO, and the development part report to a CIO (who ideally is a peer of the COO), would work better. I've seen a lot of organizations, but never seen this organizational structure.
>At least if you’re playing a human. You might be able to get a feel for what’s on their mind. Where they’re going with the game. What overall strategy they’re working on. And that can inform what comes next.

Every decent chess player is able to take over any position, there is no need to communicate the plan being worked on, you look at the board, you evaluate your and your opponent's strengths and weaknesses, and a plan (or even plans) should show up, assuming the game is not a dead draw, the evaluation of course differs from one player to another, and consequently, the continuation.
I am just excited as others when reading the TLDR comment.
But this warning made me think of do I still want it?
Is there anything in the paper explaining about the safety of nano carbon they use?
And they filed for Chapter 11 bankruptcy and were bought for a file sale price by SGI (I think Cray could have used some high quality market research in the 80s.)
My casual observation that drove that thought, which was admittedly off the cuff, is the people who really want to go back in-office are new grads who want to live in an exciting city, and NYC is way more livable and exciting than SF. That urge to live and work in SF, instead of the suburban Valley, was part of the gravity that brought big companies back to the city 2010-2020. Secondary NY hubs seem to be doing much better than pre-2020, though to your points, making the leap to NY primary is a much higher bar.
I feel like Bing Image Creator is at least DALL-E 2.5, it feels like it has higher quality outputs for the same prompt. Could also just be some form of post-processing, though.
Actually what he has said is that the biggest performance gains were from the human feedback reinforcement learning.

There are also all of the quantization and other tricks out there.

Also they have demonstrated that the model already understands images but just haven't completed the API for this.

So they use quantization to increase the speed by a factor of 3 while slightly increasing the parameter count. Maybe find a way to make the network more sparse and efficient so in the end with the quantization the model actually uses significantly less memory. and continue with the RHLF focusing on even more difficult tasks and those that incorporate visual data.

Then instead of calling it GPT-5 they just call it GPT-4.5. Twice as fast as GPT-4, IQ goes from 130 to 155. And the API now allows images to be passed in and analyzed.
What do you eat for productivity?
I feel like despite a popular believe, sweet things are not really helping your brain.
Funnily enough, OpenAI's own pricing page splits GPT-3.5 and GPT-4 under headings "Chat" and "GPT-4"

https://openai.com/pricing

Though I think the bulk of the confusion just comes from the fact that http://chat.openai.com/chat has two very different views between the free vs paid tiers.

The paid tier makes it obvious that the ChatGPT has swappable models. The free tier hides it by dropping you right into conversation with the one model.
Time constraints are a bit of state that can influence how both humans and engines how search for moves. There was some contention over how to understand the training time of AlphaZero in relation to more conventional engines - even as just a physical process this seemed pretty interesting.
Volkswagen plans 25 BEV models in US by 2030 that qualify for $7,500 tax credit
What matters here for copyright are the laws, not the math.
I'm been working 15 hour days on a side project in ai, and I keep coming back to wanting to eventually build something in the space that deals with memories, retention, context etc....

I'm not sure if it'd be just different models or a vector database with some way of partitioning data and maybe reorganizing and pruning less needed data.

as I burn out coding and I'm usually ending up stuck on something I sleep and work the code out in my sleep, I'm not sure what the equivalent to that would be for machines, but some sort of defragging could maybe be good for the system.
The trouble with arbitrary societal consensus is that it’s arbitrary. And not necessarily any wiser than an individual’s personal desires.

These monks aren’t impulsively killing themselves, they seem to be towards the end of their lives anyway and are choosing how they want to go out. I don’t see what’s wrong with that. I might prefer to be in hospice hopped up on drugs when I pass, but I won’t claim to be morally superior for it.
> Correction - if it's flowing water there is less risk than drinking from a stagnant pool of water.

That's what I've always thought, and it seems correct, but I'm not sure why that would be the case. Flowing water is more oxygenated which should make it easier for bacteria to survive, than in a still pool of water (getting baked by the sun's UV all day).
You know the entire state of the chess board. You don’t know the entire state of your enemy forces. I’m both cases information could be said to be hidden by complexity, but in the case of war information is also just plain hidden.

Edit: it would be similar to your example of war if you e.g. couldn’t see their pieces or something that would cause information asymmetry. This would make the game very different so clearly the term of art _is_ useful and important.
> If the methodology is good, the sample sizes big enough, the statistics correctly done, etc., I don't care if Mickey Mouse wrote the study.

I’d agree with this but in the real world, we usually don’t and can’t really know if the methodology and statistical analysis was solid and rigorously followed as described in the paper – if it they were even adequately described. The only way to be sure is to replicate the study and that costs time and money (as per Brandolini's Law).

Evaluating incentives (e.g., follow the money) is a useful heuristic to evaluate the creditability and trustworthiness of a particular study.
My read of the timeline is that life emerged very soon after it was physically possible for it to exist. I'm interested in research wondering why it wasn't even faster. What should I search for?

My point is, "infinite monkeys" (as a metaphor, taking them literally is a strawman) describes a brute-force approach. I don't think a physical process that randomly smashes together, say, long RNA molecules will actually result in life, certainly not quickly, probably not at all. The combinatorics of long strings are prohibitive. I think some selection process needed to take over sooner.

I don't know if that's the argument you think I "wanted to make". As far as I'm concerned I've said exactly what I mean, just longer and more explicit for a hostile audience this time.
It's about weight. The landing legs on the Falcon 9 first stage make up 10% of the dry weight if I remember correctly. 10% is huge savings for a booster. They've already proven they can do pinpoint landings so moving the hardware to the ground makes a lot of sense. Also, the booster should be easier to control because it can hover (the Falcon 9 booster has to do a suicide burn because its near empty thrust to weight ratio is > 1 even with only one engine). They wouldn't want to hover because it's a big waste of fuel to rely on that but it is an option while they are still practicing the catch maneuver.

They are building a tower at the Cape (it's fully erected already) but people have noticed the arms on it are shorter leading some to speculate that it might not be used for catching.
Strong magnetic fields are expected to elongate atomic nuclei as well.
I asked ChatGPT 4 if it could add any entries. It came up with the following. I haven't checked for veracity, I'm using it more as an interesting exercise/starting point for checking for gaps:

Origin of life (3.5-3.8 bya): First single-celled organisms.

Eukaryotes emerge (1.6-2.1 bya): First eukaryotic cells.

Ediacaran biota (635-541 mya): Soft-bodied multicellular life.

Cambrian explosion (541 mya): Rapid life diversification.

Carboniferous Period (359-299 mya): Winged insects, high oxygen.

Permian-Triassic extinction (252 mya): Largest mass extinction.

Mammals evolve (225 mya): Small, nocturnal mammals.

First birds (160 mya): Birds from dinosaurs.

K-Pg extinction event (66 mya): Dinosaurs extinct, mammals rise.

Grasses evolve (70-55 mya): Emergence of grasses.

Ice Ages (2.6 mya - present): Repeated ice ages.

Agricultural Revolution (12k-10k years ago): Agriculture emerges.

Writing systems (5k-4k years ago): Writing invented.

Industrial Revolution (18th-19th centuries): Rapid industrialization.

Atomic Age (1945-present): Nuclear technology era.