skysight-inc/HackerNews huggingface dataset:
> You can choose only one of the 1GHz C906 or A53 cores to be active

I know a guy who is reverse-engineering the boot ROM and is writing replacement code in Rust (blergh) that already enables either C906 or A53 to be booted (the A53 was only a theoretical possibility with official software released so far). He says it's not obvious that both can't run at the same time. I expect we'll know in a week or two if he is successful.

> the RVV 0.7 debacle still has no end in sight.

What debacle?

The C906 and C910 vector units implement what was the official draft RVV at the time they were designed. Krste wrote at the time "We think we're very near to the final spec". That turned out to be 2.5 years premature, but all the same 0.7.1 and 1.0 are very very similar (much more so than they are to 0.6 or 0.5 or other SIMD/Vector ISAs such as AVX or SVE), much useful code is binary compatible between them (e.g. all the C library string functions, memcpy etc), and anything at all you write for 0.7.1 can be trivially updated to 1.0 compatibility.

Even better, the recently released GCC 14 supports both (0.7.1 under the name "XTHeadVector") and if you write code using the C vector intrinsic functions then GCC can generate code for either version from the exact same source code with only makefile / compiler flag changes.

We have two different RVV 1.0 implementations in the market now (I mean boards / chips you can buy and regular customers already have), with more coming this year.

BUT, there will continue to be new C906 and maybe C910 boards for probably the next five years.

And that is really not the problem some people seem to think it is. They are far more compatible than say, AVX and AVX-512, or AVX and SSE.
No carbon based life in our universe has had enough time to build the Dyson swarm yet. Evolution needs time:
https://www.nature.com/articles/s41586-023-06600-9#disqus_th...
Universal basic income?

The idea behind that was people would go on to pursue more creative or artistic jobs that don’t prioritize profit after being given a basic income to live off.

Unfortunately it won’t work out that way: We see now that AI will mostly take over creative and artistic work and people will have no motivation to pursue art. The only jobs left for humans are hard physical labor and no one seems excited to do that… so you’ll just be giving people basic income to sit around and do nothing all day.

Having a society of mostly idle people that cost you money doesn’t really sound like a great or sustainable idea, nor does there seem to be any benefit to society.
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You are working with a contradiction - you think AI will be hugely missed moactfull( but people will put no more effort into it than they put into watching TikTok.

the correct price point is like price of a car. That’s the other recent invention that was important. That buys you a lot of compute.

We already successfully run torrents and crypto very democratically, and they take more than £200

Second, you don’t need to use it 24/7, you need it On a timeshare basis. Cryptobros may plausibly figure out anonymous secure timeshare on a distributed cluster made up of random desktops

Finally the government could run it if they decide it’s important enough - after all they run the power grid, roads; etc.
I agree, poor wording, it was quickly typed and submitted. I think the benefit is a transitive property, in that the stated intent is for the AI to be of greater benefit to humanity / customers. I was very much thinking in terms of AI as a tool rather than AI as its own entity.
Monopoly Deal on the other hand is an excellent game, quick to play (10-15 minutes), works well for 2, 3 or 4 players and the rules are clear and simple. Not to mention how cheap it is, usually less than $5.
What's going to get us first? The climate change or the AGI with all the safe guards removed. Tune in over the next few decades (years?) to find out!
I know nothing about this topic, but it seems like maybe this comment and the parent don't disagree.

If most power generation is blocked by a lack of connectivity to the grid then it would stand to reason that most projects are abandoned or fail as they've no path to entering service (unless I've misunderstood).
> Cybersecurity 'good actors' are centralized, proprietary and bounded.

IME the main problem is that, with rare exceptions, building secure products is seen as a distraction that is best pawned off to the cybersecurity team. And that cybersecurity team is more often than not fairly light on actual product development engineering talent. So they do what they can, which is mostly buy yet another tool from the thousands of vendors hawking The Answer, the final service you need to buy and then you'll be secure.

Which to anyone who has built secure products, should obviously sound like nonsense. Because it is nonsense. Most of these tools are mildly useful (some useless) but not that great. They're certainly not The Answer.

To build secure products you need to actually make it a tier one requirement and design it in from day one. It's as simple, and as difficult, as that.
These scenarios are so funny because they’re totally focused on threats and destruction as the key assumptions, and then they invariably conclude “so we should destroy them”.

And it’s just like, that’s such a colonizer mentality, trying to game out a completely unknown society and immediately focusing on threats, technology, and destruction.

I wonder, what are they like? What could we learn from them? Why are we assuming all beings are violent like us? Does it really make sense to immediately obliterate a culture you’ve never even seen? I seriously doubt it. You could send probes, spies, and try to covertly learn about them. You could send envoys, without revealing your origin, and try to gain knowledge from first contact. You may learn there is no threat, and a great deal to be discovered.

What if they had medicine which could cure every disease? Energy generators which could save our planet? What if they were simply peaceful beings with a rich beautiful history, and no desire or capacity to harm us?

The threat/destruction paradigm feels so simplistic, impoverished, and brutal.
You can build a Dyson sphere and channel the radiation of a star directly to the planet to destroy it that way.
Thank god for comments like this. I find it truly disturbing how much people are treating LLMs like fact-machines. They are pattern matching machines that match using whatever information they have that matches best.

It's closer to improv jazz than to factual authority; still super wonderful, and worthwhile listening to, but not really for the purpose of learning how the original sounded when it was first recorded. Sure, you might get a sense of the original, but that's all it is: an impression. When you ask for facts, you get an impressionist render of facts, which sometimes, maybe even often times, accurately depict the Truth. But sometimes they depict the Truth the way an artist depicts the truth: if it feels right, it's right.
They did say it was like glassdoor. Not all the $CommonPosition at $BigCorp ctrl-c ctrl-v there is real.
Reminds me of this infinite somewhat realistic collaborative map I made a while back.

https://terrain.sshh.io/

Uses stable diffusion in painting to expand out "infinitely".
But it does work, 9/11 is not a daily occurrence.
New blood test for stroke combines blood-based biomarkers with a clinical score
that is the exact opposite of what i said. i said it multiplies the effectiveness of people in the middle of a company. so they dont have to be stuck with middleware interfaces from dead software that hasnt been maintained in 10 years.
> less than a third of students and less than half of staff gave the correct answer.

This is incredibly troubling. If universities cannot produce people that can consistently get these kinds of problems right, what the hell are they even good for?
A guardian for the fearful € electors, faith restored
Im not a programmer, but my understanding is that back in the '80s investors got in a frenzy when the idea of AI was big. They threw money at it and... it was decades away. Then they tried the "e" phase that became the dot com boom... and it was overhyped. This pattern has occured several times with programs.

Technology has been progressing and the definition of AI is loose at best when marketing is nearby. I have a question: what kinds of ways do people describe "unemployed" on linkedin? It is probably glossed over and hyped based on whatever marketing is difficult to verify and is at least adjacent to reality. I think this is similar to ML researchers classifying themselves as AI researchers. HOWEVER, there may be a lot more overlap than simply "adjacent", so someone please correct me if the term "machine learning" or "AI" are regulated terms for public advertisement.
I raked my yard waste today and swept my driveway and sidewalk. It took 20 minutes. I live on about a half acre lot. It's really not that difficult.
As far as I've seen, you've always had to know enough to manually configure the network settings and then configure file sharing to work on top of that.

Which us why you need those user facing features like Airdrop or Target Disk mode to automatically handle the networking and file sharing details for the unsophisticated users.

Airdrop will continue to work even if there are no existing cellular or WiFi networks available. The devices will just create their own ad hoc WiFi network on the fly, without the user needing to know a thing about how it works.
> Unless you're working on undergraduate integrals then it's pretty useless for advanced stuff without writing your own library. By that point you may as well write it in a language that's more performant and cheaper.

Hard disagree. Mathematica's symbolic dexterity makes abstract reasoning (with equations/expressions) very easy. Think of it as the companion tool for anyone doing pages of algebra that would go into a paper, or form the backend for some code.

The numerical capabilities of Mathematica are passable but nothing fancy. Once you have the math figured out, you might even want to reimplement "in a language that's more performant and cheaper." But I haven't see anything come close to Mathematica for convenience of symbolic reasoning -- not just as a technology (lisp is pretty good) but as a ready-for-use product.
The way I see it, AI software are tools that software engineers can use to make their workflow more efficient.
AI in office
> That doesn't sound right to me at all. Modern academia is highly competitive, and career academics typically have long working hours.
> If they aren't doing programming, that's likely because it isn't relevant to their job. A theoretical computer scientist is closer to a mathematician than to a typical programmer.

This kind of stuff is not useful to be posting where impressionable people (young students) can read it. The truth the majority of academics are managers and delegate hands-on work to postdocs and PhD students. I finished a PhD just last month and I never saw in 4 years anyone on my committee so much as look at code let alone write it (and I was not a theory student). Almost everyone in my cohort would echo this observation.
Link between e-cigarette use and early asthma onset in US adults discovered
They are trained on a ridiculously small amount of content compared to what the brain of a 3 years child is subject to. Current models still have a very narrow application field compared to what a human can achieve.
What is the incentive for someone to leave a review? Given that each person only has a handful of places they can review, you won't have serial reviewers like on other review sites.
How else do you keep them from ditching their tracking device?!

/s
Discussions yesterday [0](96 points, 57 comments) [1](104 points, 47 comments)

[0]: https://news.ycombinator.com/item?id=40390831
[1]: https://news.ycombinator.com/item?id=40391382
Nobody implements security from day 1 because it's not some one time cost. It is an ongoing, continuous cost you pay for the system to exist.

People build walled garden security models because security imposes a pretty large operational cost on everything else.
Spiny legged 308M-yo arachnid discovered in the Mazon Creek locality
I don't believe asserting two parallel and comparably false equivalences meaningfully progresses the discussion around this technology and risk.

If this tech exceeds human capabilities to 'think' (plan, reason, manipulate, etc) then it is obviously a bigger threat than any less capable entity ('any living being', as you refer). Because no humans will be able to out-plan/reason/manipulate it.

If the tech doesn't achieve intelligence - a tricky goal, and I eschew mislabelling LLMs as AIs for that reason - that doesn't mean its risk is comparable to the worst of any existing technology. There's just no way to extrapolate from one to the other, there. It might be orders of magnitude worse than any other 'computer program' - you can't say for sure, from where we're standing now.
protip: a language is not regular if you need counter(s) to parse it.

protip 2: good regex implementations often have extensions that support counters.
You've described a predator-prey dynamic.

How does this play out with two apex predators...? When you travel in bear-infested woods, the common refrain is to make your presence known -- better to let the other apex predator aware of your existence so you can both give one another a wide berth. Or the Teddy Roosevelt style - walk softly, but carry a big stick.
> The energy consumption would not be a problem if it was renewable energy.

That would only mean that this renewable energy would no longer be available for other uses. Like, for instance, replacing or reducing the use of fossil fuels.
Well as you surely must know transformers are general sequence continuation machines and have been proven to work well with almost any type of input and output sequence. You also must be aware that people are trying to plug these general sequence continuation machines in to all kinds of different sequences and giving them all kinds of power to take action. These sequence continuation machines are also getting more complex and multi layered every day and also being wired together in novel ways. This is a dangerous thing to do depending on what actions you allow them to take because of the impact on society of having agents taking actions without oversight.
Perhaps gangs will start sending assassin-bots at eachother, but the more realistic threat for most people is getting banned from society after you post a wrongthink somewhere and get your social credit score nuked.
Almost every time I try to reach to meta-programming, on second thought, I found out that writing a method was the simpler way. I'm not a LISP expert, but IMO, if you're not building a library, meta-programming is an exotic paradigm. And that's because you're defining a new language, not adding new words in a dictionary.

I think it's quite nice if you're building tooling though. Like creating a web framework to write web apps, or translating business queries to SQL.

Writing imperative code always felt like transporting buckets of water. But CL (and other functional languages) feels like building a pipe system. Much more knowledge required upfront, but getting nicer the further you progress.

ADDED:

That's why there are so many frameworks, especially in the web dev world. It's nice to have someone carry the buckets to your room, even though you need to get it inside. The trouble starts when you want water somewhere not serviced. You have to figure the service routes to take it of at the most convenient place.
I remember when I got CodeWarrior on my PowerMac 6100/60 and suddenly I could answer questions online about weird MacApp problems by making a temporary project with their code and compiling the whole of MacApp in 5 minutes.

Previously that had taken about 2 hours (Quadra with MPW), and I did clean builds only when absolutely necessary.

Truly painful was trying to write large programs in Apple (UCSD) Pascal on a 1 MHz 6502.
Think about the difference between what an LLM is doing and a human is doing in response to being told they are wrong.

If you tell a human, “You are wrong on this, and here is why.” They may reject it, but their mental model is updating with the new information that you, the speaker, think X for YZQ reasons. Their response is based on a judgment of how trustworthy you are and the credibility of the evidence.

For an LLM, the response is not based on these logical connections, but simply the additional prompt context of YZQ tokens being close to each other.

This is not “logic” in any traditional sense or in the sense of how a human incorporates and responds to this new information.

The LLM’s method of responding is also inherent to the architecture of the model. It’s predicting tokens based on input. It’s not reasoning.

Critically, this flaw is inherent in all LLM output. Giving an LLM’s output the power to affect real world activities means trusting that the decision can be made by sophisticated word association rather than more complex reasoning.

There may be lots of decisions where word association is all you need, but I doubt that is the case for all decisions humans make.
Lol is this basically a train SaaS solution? Whats wild to me is that SaaS products aren’t actually required to issue CVEs since customers aren’t the ones responsible for patching.
There absolutely is a difference. Nuclear war is considered a likely extinction level event for humanity. A war between the US/NATO and the Soviet Union could take out major cities around the globe within hours, and the resultant nuclear winter would blanket much of the planet within a month making living above ground impossible.

GP's comparison is apt here.
I’m not sure it is such a new thing. In the 1970’s we had ann old lady across the street that would call the cops when anyone rode their skateboard on the street or the sidewalk.
Sure, but in the event of liquidity, can they refuse to pay me the value of my shares? For any reason?
One big difference is that there are lots of reviews for $CommonPosition. With this, you'd have to expect that most reviews are the only one for a given property/landlord
How would these drones deal with people who reside inside buildings which have physically enclosed interior spaces, such as houses, apartments, tenements, or large sheds and tents?
This is about single pages that have been deleted in functional websites. How dare you?
> I suppose. So? Why do you think that matters?

Why do you think it matters? If you didn’t think so, presumably you would not yourself be arguing for a particular explanation (e.g., neurons causing consciousness).

I can pick between a few reasons why it matters to me. One of them is probably similar to why you or I would think that believing or not believing in a deity matters.

> you have no evidence for the existence of consciousness in entities other than yourself other than their I/O behavior.

I don’t need that evidence if I assume consciousness exists in the first place. You need it if you believe it arises from some configuration of entities in external reality.

> The whole point of my counter-argument is that the original argument is invalid because it ignores the speed at which a human can execute the rules

Why does the speed matter?

> I do not claim that it does not exist, I claim that it is an illusion. Illusions exist, they are just not what they naively appear to be.

Would it be fair to say that time-space is an illusion? It seems that “it is not what it naively appears to be” is a true statement about it, doesn’t it?

> presupposing the objective existence of something for which there is no evidence

The evidence of consciousness is empirically supplied every moment of your existence, though. Empirical evidence of anything else by definition requires consciousness, too.
No, it's not really whataboutism at all.

Whataboutism is when two entities are doing shitty stuff with roughly commensurate negative impact.

Versus dinging an endeavor that might have net positive impact (AI might REDUCE environmental impact) against forces that 100x larger and have no positive direction, it's actually just: pointing out when journalism uses a relative value to make a tempest in a teapot and distract from the big picture.

We can't just zoom in on 1% stuff that's working for the common good (at least in principle, if not, let's make THAT issue the article) as a scare story, and not talk about how it's a fraction of what is really up.
I concur. I'm notca huge user of AI, but it does make a good search tool when my search term is verbose.

For example I was looking for the name of a windows API command. I "knew" the command must exist, but didn't gave a clue what it was called. Asked Cgpt for an example program, and there's the name of the API. (Which I can then Google for docs.)

I also had a complicated-to-ask question about sun movement which it explained to me, along with site links to actual data.

I'm not using it as a Google replacement, but more of a Google supplement when the question is long-winded to write.
Sounds easy, but thinking about it seems to make it out to be a "last mile" problem. Broadband adoption in the US is still, relatively, extremely horrible.
Really, it's that low on a regular plane? I thought it was more like 6000ft equivalent or so. 10k is high, it's like a third of the altitude they actually fly at.

Edit: it's between 6000 and 8000: https://aviation.stackexchange.com/questions/66563/why-arent...

So around 8000 for the likes of the bog standard 737 and A320 and around 6000 for the cool new carbon fibre ones I guess.
War itself involves a great deal of diplomacy between those fighting, various allies of those fighting, neutral 3rd parties etc.

Treatment of prisoners of war is probably the most obvious example of this. If you’re known to treat people who surrender well then you get more people willing to do so compared to a reputation as a country which will simply slaughter anyone captured. Sure it forces you to devote resources to caring for potentially millions of people, but that’s preferable to fighting millions of desperate people.
No, plagiarism is presenting text as one's own.
I do agree that my referring to DEI today may be too broad, that's a great point.

> Instances where it works well and gets more people hired and engaged are less interesting to a predominantly white society, so maybe aren’t discussed as much outside of non-white communities.

This got me curious, have you sewn any examples of DEI programs helping to get more people hired rather than different people hired? Either can be useful, but that distinction would be a big one as the former means DEI is somehow growing the job market rather than refocusing hiring practices.

Nothing wrong with speculation as far as I'm concerned! Reliable and accurate data is hard to come by, I'd argue that most of what is presented as fact is little more than speculation backed by fuzzy data full of assumptions.