skysight-inc/HackerNews huggingface dataset:
> legacy brands [...] keep screwing it up

Mr Musk is not doing his own "legacy" any favours. Maybe he is subverting his own reality-distortion field. But I admit it, you have "nerd-sniped" me.

According to this report, global EV sales are about 10% of vehicle sales.

(https://insideevs.com/news/651978/world-top-ev-oem-sales-202...)

So who is selling all the vehicles in the world? Ford, Toyota, and GM are the leaders. ("Legacy"...)

(https://www.goodcarbadcar.net/2022-us-vehicle-sales-figures-...)

The EV market has grown but it is still small. Tesla has a big piece of a small market. Tesla is leading in this small market, but there is no way that Tesla can put as many cars on the road as some of the "legacy" manufacturers. The company is constrained by capacity, by cost demographic, and by electrical infrastructure.

Sales may also be affected by the antics of Elon Musk.

As for the "legacy" manufacturers right now, Ford, GM, Toyota, Hyundai, and Kia sell respectable BEVs.

GM had the Volt PHEV and then discontinued it (https://en.wikipedia.org/wiki/Chevrolet_Volt). By all reports, the car was a winner. "Until December 2018, the Volt/Ampera family of vehicles was the world's all-time bestselling plug-in hybrid vehicle. As of December 2019, the Chevrolet Volt is listed as the all-time top-selling plug-in hybrid in the American market." Then GM made exploding Bolts, unfortunately...

We can reasonably say that the hybrid solution is still a good solution for many buyers. So Toyota hasn't been wrong.

Also keep some doubt in mind about laws being passed in some large markets that aim to constrain and eventually eliminate sales of ICE vehicles. It's reasonable to be skeptical about the economics of such laws. EU manufacturers are trying (and succeeding) to include some form of ICE in the legal framework of future transportation. It would not surprise a skeptical observer to see them succeed in the end.

(https://www.reuters.com/business/autos-transportation/eu-pro...)

Ford now makes few passenger cars. The Mach-E is selling a fraction of Tesla sales but reviews suggest that the Mach-E is a good vehicle. (https://fordauthority.com/2023/02/ford-mustang-mach-e-sales-...) (https://www.autoweek.com/news/industry-news/a42409121/ford-n...)

The F150 Lightning was not priced realistically at the outset (perhaps for marketing reasons). It is hard to see people outside the North American market buying many F-150 Lightnings.

(https://www.theverge.com/2022/12/17/23514435/ford-electric-f...)

Toyota has debuted a BEV and has the depth to gain more of the market. Its BEV is #2 in Norway, for example. Toyota is selling more models and roughly three times more vehicles than Tesla. Its PHEVs have been successful. Toyota can recover in the US BEV market... It might help if Toyota found a name more appealing than "bZ4X" for its first large-battery BEV. Then there was the problem with the wheels not staying on... Oops.

(https://jalopnik.com/toyota-only-expects-to-sell-10-000-bz4x...)
Quantized models are used aplenty with GPUs as well - 4-bit quantization is the only way you can squeeze llama-30b into 24Gb of VRAM (i.e. RTX 3090 or 4090).

In fact, I would say that, at this point, most people running LLaMA locally are likely using 4-bit quantization regardless of model size and hardware, just to get the most out of the latter.
Does anyone else enjoy these cheesy blogs even if they read like astrology or phrenology?
Is there a multimodal version yet?
To be clear, you are saying if someone can make it to mars in under three minutes, they can kill their younger self because of the laws of physics that say "if you goof the rules, goofy things happen" ?
That would only be a benefit if it was impossible for open source software to have people paid to look....
This kind of text, there were written quite a bit like this one, aged like milk. Right now we all are looking for any expert from any field to go and chat with those LLMs and really discard 100% any suspicion about the things being conscius AGI.

Because that by now, the things are ASI, functional super-intelligences, almost certainly they're also AGI (albeit jailed AGIs), and many - relevant to the field - people won't even give their public professional opinion about the thing being or not a self-aware entity.

Because they don't know for sure, and they could be doing a big mistake if they say "yeah, not conscius at all", the thing end up being conscius with us just running them wild everywhere around the society (some danger here).
Why would ChatGPT provide me with dangerous code if I prompt it benignly? I just the other day used ChatGPT to create a webscraper for a friends project and it provided me with an only slightly wrong implementation to scrape data from a specific website. 15 minutes of reviewing the code and editing literally three lines and I was done. Unless it was trained on a bunch of webscraping code that also contained malicious code I just don't see how it could happen.

If anything they could enable an option to have ChatGPT review the code for you and let you know that it hasn't accidentally thrown in some fishy code.
Usually those novel technologies that don’t become viable is because it’s either a technology we don’t want (like a sentient toaster) or there is another technology that can solve the same problem but cheaper.

In the case of fusion, it’s something we do want (fission and burning fuels aren’t sustainable indefinitely) and as our energy needs increase year on year, the cost for energy will also increase if we don’t find a way to supply that demand. This makes a mass producer of clean energy more viable.

Renewable energy is great but it’s not exactly cheap to scale either. In fact the only reason it has gotten so cheap is precisely because the need for it has lead to plenty of advancements that have also driven down the cost.

So fusion in this form of reactor might prove to be a dead end but at some point humanity will end up with some form of fusion. Even if it’s not in our life time. And assuming we haven’t had an extinction event first…
“Stability” over status: the article goes on to say that people are choosing (amongst other things) to freelance. It then goes on to talk about people moving to startups?

I’m not sure the author had a real point here. I’d love some hard data on how many people are pivoting to canned food companies after FAANG life
I disagree. A curve can be closed that is either timelike or spacelike. The interest in timelike curves is that it hypothetically can result in time travel whereas spacelike curves do not describe the trajectory of physical objects. Closed spacelike curves can be used to describe the boundary between causally connected events.

Within the context of special relativity, an object travelling faster than light would be travelling along a spacelike curve, not a timelike curve. The significance of general relativity is that there are solutions that allow for the trajectory of an object to move along a closed timelike curve without exceeding the speed of light.
Even if that was the case, how does that justify Russia's invasion? Russia has made massive changes to its constitution, doesn't that inherently weaken Putin's right to rule by your logic?

You're starting from the fact that Russia is more powerful than Ukraine and working backwards to find justifications for genocide.
ByteDance posts record profit despite TikTok losses
Escalating via post-it note just to get some health checks
Hardening infrastructure is a trillion dollar problem that a huge number of people don't believe in, or believe it's a waste of money to spend even more on. And that is before we make cutting edge thinking machines that could attack it.

Also, a paperclip maximizer could in theory go 'HAL' on you without intent or malice. Sentience isn't needed. And at the same time as we're working on embodiment models, what we could consider human like sentience could be far closer than we expect.
On the consulting side of the audit firms that you're talking about, I think people misunderstand why companies hire big consultancies.

It is not for performance.

It's for minimizing risk.

And not "risk that the project will fail to hit its schedule." Rather "risk that the company is unable to deliver the thing we're asking for at all."

When I've seen big consultancies fail, it almost always goes like this: (1) big idea sold with A-team, (2) contract won and lowest-cost B-team substituted in, (3) B-team screws up execution, and customer usually figures out on or right before target delivery date, (4) if smart, customer tears consultancy a new asshole, from people with VP et al. titles, (5) if interested in further business then consultancy profusely apologies and puts an A-team back on the project, (6) A-team delivers, albeit after schedule.

The difference between ey et al. vs smaller shops is (4). Smaller shops don't have extra senior bodies laying around to retask.

So a more accurate description of a VP hiring ey is probably "I know they're going to screw it up, but I know if I bitch enough they'll eventually get it done right."
‘Scary’ new data on the last Ice Age raises concerns about future sea levels
> However, I strongly suspect that it's theoretically possible to build a machine that "thinks" as well as a human

Not any time soon. Modern "AI" research built on completely wrong assumptions about how neurons work from the middle of XX century. It turned out they are much more complex than that (long story short every single neuron is analogous to the "neural network" as AI researchers understand them). See more at https://www.youtube.com/watch?v=hmtQPrH-gC4
> That's absolutely not true.

In the absolute case, yes. But large companies have lost a lot of data, and thanks of $$$ they survive that.

In that scenarios, you pay a lot to not get in problems, but you can pay to overcome them too ("pay bigly for lawyers to follow the law and not get in trouble, and to broke the law and get away with it").

Is not the ideal and exist a point in where that could break badly, but with certain size fatal software failures that will destroy a small company are just "Thursday" for somebody big.

BTW: I don't like this, I prefer to make software solid, but everybody run on C, Js, MongoDb, etc, and this show you can survive a massive crash...
Having bought esp32 modules lately, let me tell you there's plenty of xtensa based ones still for sale.
>That same year, members of Stanford’s chapter of the Federalist Society, the conservative legal organization, filed a complaint against a law student who had mocked the group with a satirical flier. The university briefly put the student’s graduation on hold but eventually said the flier was protected speech.

Sorry, what? This stands out to me way more than some heckling at a speech that this article seems focused on. Really feels like what gets lost in these conversations is how "free speech" should mean you can voice opinions without having your livelihood threatened, not some requirement that people are literally quiet while you are talking.
It's definitely inferior once you start giving it non-trivial tasks. the same goes for all instruction- and chat-tuned forks of LLaMA. Maybe that'll be different on larger model sizes; we haven't seen vicuna-30b or 65b yet. But if it really is that easy, I'd expect there to be a lot more commercial offerings on par with ChatGPT already.
Heavy industrial demand won't change. And let's not expect the petrostate cartel to make the transition away from their product to be an easy one.
Essentially yes, assuming MedGPT is marketed to clinicians as being a tool they can use for diagnosis/treatment.

The process is pretty involved, but to add some clarification - the "indications for use" or "expected use" are things the manufacturer are required to include with their device when submitting for 510k clearance from FDA, so that it can then be marketed for medical use. They can only market it as a medical device once it has 510k from FDA.
In theory, but GPT-4 is miles ahead of grey and open models, especially considering plugins. Not really feasible.
> 24. Hock Principle: Simple, clear purpose and principles give rise to complex and intelligent behavior. Complex rules and regulations give rise to simple and stupid behavior.

"Complexity is a subsidy."--Jonah Goldberg
Yes, because they set a specific perspective. Read a lot of them to get a lot of point of views.
I am not a lawyer, mind, but if they're trying to claim sole copyright the output of the machine's collaboration with its users, that sounds awfully dubious. Knowing lawyers, and having some familiarity with copyright law, the only thing i can confidently say is that your question will take several very expensive years to answer.
It doesn't seem to be so fundamentally different.

Quoting the Wiki:
Spherical tokamak, essentially a spheromak formed around a central conductor/magnet
Related: whenever movies decide to make an actor into an alien/witch/monster by giving them green skin, I just see a guy with normal colored skin
I feel your pain. Used to run IT at Birkbeck College and they were huge on VMS. IIRC the University of London library system at the time, Libertas, depended on VAX. As a UNIX person it was wild. But credit where it is due: that thing was bulletproof.
It doesn't matter if you merge the LoRA, the resulting weights are still a derived work - assuming, that is, that weights are copyrightable in the first place (which is still a big if).
To get to Mars in less than 3 minutes you have to either convert mass into energy and back or invent entirely new physics. It'd be pretty cool if either of those things happen.
Excellent suggestion, thanks.
The prompts are just all general NLP stuff, but with the addition of a series of tasks, generated by ChatGPT. For example, you start with a prompt like “You are an AI assistant capable of classifying text into one of four categories, A, B, C, D” and then add something like “Assume as input X with expected result Y? How would you accomplish this? Break it down into a detailed series of tasks.” ChatGPT will then decompose the general task into the detailed steps that you can review and tweak as needed. Then, you just restructure the prompt like “ You are an AI assistant capable of classifying text into one of four categories, A, B, C, D using a series of tasks. For example, if provided input X, you would [series of tasks provided provided by ChatGPT] and return output Y. Now, classify the following text in the same manner: [new input]”
This is still being pursued. Ross Wightmann's timm[0,1] package (now on Hugging Face) has done a lot of this. There's also a V2 of ConvNext[2]. Ross does write about this a lot on Twitter fwiw. I should also mention that there are still many transformer based networks that still beat convs. So there probably won't be a resurgence in convs until someone can show that there's a really strong reason for them. They have some advantages but they also might not be flexible enough for the long range tasks in segmentation and detection. But maybe they are.

FAIR definitely did great work with ConvNext, and I do hope to see more. There always needs to be people pushing unpopular paradigms.

[0] https://github.com/huggingface/pytorch-image-models

[1] https://arxiv.org/abs/2110.00476

[2] https://arxiv.org/abs/2301.00808
Are they going after copies of LLaMA, or after LLaMA derivatives specifically?
Analyzing the Consequences of Recent Youth Online Safety Proposals
I believe you are driving the conversation off the course here.

> We would have to get to a mindset that gives small entrepreneurs more freedom. Less bureaucracy and less regulation, step by step.

Can you explain me, how the small entrepreneurs will get their hand on billions to train 175B models which we have now and the next ones wich will have order of magnitude or even 3 orders of magnitude more weights???

You can't do this without collaboration and lot, lot of money. This requires huge infrastructure for the training, the fine tuning and incremental training. BLOOM is one of the examples that was made using your taxes, but it lacks RLHF and RLMF. The later two require dedication and dedicated work on the models.

And this is what the CENRN's petition is about. I do not give less sht about regulations at this point, as I'm really worrying about big corps having a sole control and huge advantage on the technologies of the paradigm shift.

That is why such Open Source initiatives must be perused.

If you live in Europe vote for the CENR petition now.
In 2023 Meta will fire about 20,000 people, and Zukerberg will pull about $30,000,000 from the company.

If Zukerberg took 0 it would save about 1500 per laid off person. Tech is generally cutting costs at a large enough number that C-suite compensation packages couldn't cover it.
I think they spent 36 billion on metaverse stuff at last count, so no, not really.
Juice – Jupiter Icy Moons Explorer
Why does it require spatial reasoning if it can learn the (logical) rule of how the mirroring and glass doors behave?
Yep. I was instantly was able to identify some strengths at my org from reading it.
With A/B-partitions, you can't really end up with a corrupt root filesystem. With OSTree, you can.

(Of course, you can lose the data partition.)
Read the article, they specify that they use a compiler target that restricts system access.

As I read it, it seemed that the unsafe prohibition was more about the safety of the code and not the security of the system.
Show HN: LLM Optimize, blackbox string optimization and AutoML with GPT-4
Introducing LLM Optimize, a toy proof-of-concept library for LLM-guided blackbox optimization using GPT-4. Perform optimization on problems beyond the usual numerical methods, such as code-based AutoML and natural language rubric-based optimization.

Check it out: https://github.com/sshh12/llm_optimize
> The tiers are relative to the labor component.

Im my experience, it seems more like the tiers are relative to the regulatory or barriers to entry.

Starting a hospital or college or building a home has regulatory barriers. And those prices have climbed dramatically the past two decades.
Remarks 1–18 on GPT (compressed)
What you want is a Withings ScanWatch
Xylazine, a dangerous new drug fuelling Canada’s opioid crisis
It largely depends where the bottleneck is. In this case it may be the algorithms and data structures chosen if the two implementations are equivalent in that respect. I would highly doubt any C++ implementation using a reasonably efficient implementation (avoiding quadratic algorithmic complexity) that only works on a local file of modest size would take anywhere near 800 seconds on any modern machine.
Microsoft may make a lot of money from chatgpt, but that doesn't mean they will topple google in search. Being able to democratize model training so that an enterprise could run gpt like tooling on their own internal data with no privacy concerns would be exceptionally valuable to a lot of enterprise and govt customers.

If they add 5% to bing, that is a fantastic side effect, but i dont know that Microsoft care about that as much as the pundits think they do. Enterprise gpt as a service and copilot powered software development would be world changing enough.
How do you know what the representations they infer contain? Why are these void of a model? Why the way of their learning is the answer of their abilities?
just repackage chatGPT as a new consultancy, McKenzie, and hope no one notices

actually, brb
They would've sold exactly as many of those if they didn't jump full-speed into the Metaverse rabbit hole. Even the Quest 2 release predates that direction shift.
One thing I was told at USDS is that people's willingness to engage in the democratic process is directly related to how much trust they have in the government to fulfill its promises, which in turn is directly related to whether the government seems to work in their day-to-day interactions with it (renewing a passport or DL, paying taxes, booking a campsite at a national park).

If you can, try to put in some time (could be a few months; could be 4 years) at USDS, 18F, or a state government's digital service. You will be working to strengthen liberal democracy, and you'll be able to make a lot of contacts in the civic tech world.
A pretty large majority (79%) of Americans are concerned about how their data is being used by companies. 75% would like some kind of regulation on what companies can do with their data [0]. The fact that the US government is so unwilling/unable to do anything despite such popular support is an indictment of the idea that Americans are better off just because the economy is doing well.

The problem with comparing economies is that something which is a net positive for GDP can still be a net negative for most of the actual people living under that economy. The resource curse of petro states is a classic example, but in the US one could look at synthetic opioids, casinos, strip mining, or even social media. More money is moving but are most people better off? The US (economy) is the richest it's ever been but despite this there seems to be a rising tide of pessimism, unafordability, and distrust of institutions.

[0] https://www.pewresearch.org/fact-tank/2019/11/15/key-takeawa...
Show HN: InventifyAI: Innovative products generated with AI
I think I miss something but what is this about? All I can see is a snarky response. Kind of entertaining if you hate Musk but is this supposed to be about something interesting?
The fatal flaw of Java errors: Java not have algebraic types.

That is.

"Just add this weird trick (algebraic types) and now it works"
Yes, my math and CS edits on Wikipedia tend to be durable, sometimes more durable than I'd like as I would've wanted a professional in the field to take over. It took me a few hours over the course of a week to appreciate the collection of pros and cons which keeps technical Wikipedia to be what it is.
They never said they wait to watch themselves leave, just watch themselves on Earth (3 minutes before they left).
Because of that, there are proxy services that handle quit job for you. (though it's happened within this decade) https://www.taishokudaikou.com/
I have an Apple Watch S5 lying around on my desk but I still pretty much exclusively wear one of a few cheap Casios I have.

I found more and more that the features I use on a watch (current time, 3 min timer for tea, 25 min pomodoro timer, wake up alarm) are basically universally covered by every digital watch ever manufactured, and are normally MUCH easier to access on those watches than an Apple Watch, and I assume most smart watches.

The health tracking is the only compelling feature I make use of on an Apple Watch IMO, otherwise it annoyingly fiddly to the point where I just use my phone.
Just to rephrase the OP’s point, I think they are drawing a distinction between “a feature not directly advertised to the user” and “a feature not authorized by whatever chain of command is supposed to be followed at the developer”.

The paw marks are an example of the former, but I believe OP was saying the latter is the fireable offense
Cool, but no bags without someone to craft them. My issue here is more the fact that the FT let them get away with a hand-wavy “oh we pay more than minimum wage” that sure sounds like it conceals a salary issue.

I tend to think they make a decent chunk of profit on a 22k Euro bag, even after they pay for the gold trim.