skysight-inc/HackerNews huggingface dataset:
People have goals, and specially clear goals within contexts. So if you give a large/effective LLM a clear context in which it is supposed to have a goal, it will have one, as an emergent property. Of course, it will "act out" those goals only insofar as consistent with text completion (because it in any case doesn't even have other means of interaction).

I think a good analogy might be seeing LLMs as an amalgamation of every character and every person, and it can represent any one of them pretty well, "incorporating" the character and effectively becoming the character momentarily. This explains why you can get it to produce inconsistent answers in different contexts: it does indeed not have a unified/universal notion of truth; its notion of truth is contingent on context (which is somewhat troublesome for an AI we expect to be accurate -- it will tell you what you might expect to be given in the context, not what's really true).
So ask it about the relationship between interrobang and hamburgers.
It's mostly going to be internal engine/gearbox parts that are forged, and possibly wheels.
I wish it was shareable. If she presented my son to her breasts with a certain posture, he would latch without any issues. If she didn't, then it would hurt her immensely. I want to say the lactation consultant "smashed" the boy's head to the breast, getting his mouth full before he had a chance to do anything, but its been 15 years. I think the biggest thing to learn is that works for one may not work for another. Keep searching with optimism.
As far as I can tell there was no comparison group. They checked the medical records of a bunch of people who came to the hospital with COVID infections, then checked how many of those developed Type 2 diabetes.

Would be interesting to see how many people who didn't have COVID had increased risk of developing Type 2 diabetes. With everybody staying at home and changing behavior/eating patterns, I wouldn't be surprised if the effect size was similar there.
While this is only a singular opinion, Google’s problems to successfully innovate are in plain sight.

Google Research produces the seminal paper on Transformers - only to see others pick up their work and run with it.

Android is losing market share.

Stadia flopped.

ChromeOS is on life support.

Search is subjectively getting worse (albeit still insanely profitable).

Google Cloud market share is nowhere near AWS or Azure.

The whole company feels like it’s frozen in time.
Replacement fertility rates assume zero net immigration, which does not hold for much of the OECD. For example, Canada's total fertility rate has stayed below 2.1 since the 1970s and has fallen since to its current low of 1.4 (https://datacommons.org/place/country/CAN?category=Demograph...), but its population has been consistently growing since then due to immigration: https://www.statcan.gc.ca/o1/en/plus/960-fewer-babies-born-c...
To add to this, can we put a rest to asking founders who sold out and are no longer connected with the acquiring company about their opinions?

It isn't like Google's advertising model was a secret or difficult to envision where it was going.

If that wasn't a problem when you sold out, why is it a problem now? Or if you were already worried about this, why'd you sell to Google?
The evidence for masks is inconclusive; hand hygiene stronger
> The claim that 222nm is an effective disinfectant seems to directly contradict the claim that it cannot penetrate skin. In particular, if it bounces off dead skin cells, and the environment contains dust, how can it possibly kill things on the dark side of the dust particles?

It penetrates single cell walls but nothing deeper.

People are mostly interested in 222nm for doing things like sterilizing air circulation and handheld wands. You can put a very high flux without worrying about accidentally exposing someone to a hazardous level of UV light.

People aren't trying to sterilize skin directly (as far as I know), but, even there, it might help healthcare workers. Washing your hands or coating it with alcohol is nasty over time. Being able to hold your hands in a device for 15 seconds and sterilize it rather than having to dump alcohol on them could be an improvement.
Do physical measures such as hand-washing or wearing masks stop or slow down the spread of respiratory viruses?

slow down the spread of respiratory viruses?
Key messages
We are uncertain whether wearing masks or N95/P2 respirators helps to slow the spread of respiratory viruses based on the studies we assessed.

Hand hygiene programmes may help to slow the spread of respiratory viruses.
It’s because needs and preferences differ. There is not 1 objective evaluation that makes it the “best”.

Consider a minivan and a sports convertible on which car is the best car - many people will say my car is better and are optimizing for their own personal interests
parents are just VPs of their own little empires
Frame is a very different concept between a pickup truck and a Benz. Nearly all pickups are built as body-on-frame, where there's a separate chassis that mounts all the mechanical bits, and then the body goes on that. Nearly all sedans, wagons, and things that most people would consider "not trucks" are unibody. The body and frame are one and the same. The Benz in question likely had a detachable subframe at the front or rear where the mechanical bits are attached. It's pretty common to have bolt-on frame members (cross members especially), a fully detachable subframe forward of the firewall is less commmon.

All that to say, they can sometimes straighten a body on frame vehicle. Whether this is a good idea or not obviously depends on the severity of the damage. If a frame rail is bent into a banana shape, probably not. If there's been some light shearing or twisting movement of one rail to the other, they can probably do it safely within limits. Remaining imperfections get taken up in the suspension (it's adjustable). If you wonder how they put race cars back on the track so fast, it's because they'll tolerate a lot of frame geometry out of spec if they can make it up in the suspension without otherwise compromising safety and handling.

All that said, all of your points about the reduced value of the truck are certainly true.
> "surely even that's preferable to a catastrophic alternative, no?"

Maybe? The current death rate is 150,000 humans per day, every day. It's only because we are accustomed to it that we don't think of it as a catastrophy; that's a World War II death count of 85 million people every 18 months. It's fifty Septebmer 11ths every day. What if a superintelligent AI can solve for climate change, solve for human cooperation, solve for vastly improved human health, solve for universal basic income which releives the drudgery of living for everyone, solve for immortality, solve for faster than light communication or travel, solve for xyz?

How many human lives are the trade against the risk?

But my second paragraph is, it doesn't matter whether it's preferable, events are in motion and aren't going to stop to let us off - it's preferable if we don't destroy the climate and kill a billion humans and make life on Earth much more difficult, but that's still on course. To me it's preferable to have clean air to breathe and people not being run over and killed by vehicles, but the market wants city streets for cars and air primarily for burining petrol and diesel and secondarily for humans to breathe and if they get asthsma and lung cancer, tough.

I think the same will happen with AI, arguing that everyone should stop because we don't want Grey Goo or Paperclip Maximisers is unlikely to change the course of anything, just as it hasn't changed the course of anything up to now despite years and years and years of raising it as a concern.
I see it as showing that other (possibly opposing) opinions were sought, in case of criticism of bias.
Google is the new Yahoo, just a lot bigger.
> scanning for CSAM and Terrorism and DMCA

There is no such thing as "scanning for DMCA". DMCA prescribes a process for reacting to complaints of copyright infringement, not a process for preemptively scanning content for material that might potentially generate such complaints.
Perhaps not in a fiduciary sense, but I feel it kinda does mean something if that's what they promised to those employees when they were hired.
You could call them both workflow management systems. One of the differences is Temporal/Cadence uses code to define workflows instead of YAML. It's a large enough difference that Temporal is defining their category as "durable execution":

https://temporal.io/blog/building-reliable-distributed-syste...
I don't know how this isn't part of being a lawyer:

- Deciding what kind of case law they specialize in

- Deciding where to work

- Deciding how the work should be done

This whole article is about how Harvard is encouraging lawyers to ignore any professional responsibility in favour of monetary compensation.
See how easy it is to fall into supporting compelled speech? It’s all for a good cause, after all…
> An LLM and a human brain are almost indistinguishable.

That's the idea that I don't buy into at all. I mean, I understand the attempt at connecting the brain to an ML model. But I don't understand why someone would bother believing that and assigning so much weight to the idea. Just seems a bit nonsensical to me.
So many better terms could have been used ;

Adjacency, Velocity, Adhesion, etc

But! if temp denotes a graphing in a non-linear function (heat map) then it also implies topological, because temperature is affected by adjacency - where a topological/toroidal graph is more indicative of the selection set?
Having a small kid also got me wondering how chimps cope with the same problems. I mean they’re 98% similar to us, so the babies must go through very similar stages…
The word you are looking for is an _embedding_. Embeddings are to language models as internal, too-rich-to-be-fully-described conceptions of ideas are to human brains. That's how language models can translate text: they have internal models of understanding that are not tied down to languages or even specific verbiage within a language. Probably similar activations are happening between two language models who are explaining what a "promise" means in two different languages, or two language models who are telling different stories about keeping your promise. This is pattern recognition to the same extent human memory and schemas are pattern recognition, IMO.

Edit:

And for the rest of your post:

> Which AI program will make a promise to you? When it fails to fulfill its promise, will it feel bad? Will it feel good when it keeps its promise? Will it de-prioritize non-obligations for the sake of keeping its promise? Will it learn that it can only break its promises so many times before humans will no longer trust it when it makes a new promise?

All of these questions are just as valid posed against humans. Our intra-species variance is so high with regards to these questions (whether an individual feels remorse, acts on it, acts irrationally, etc.), that I can't glean a meaningful argument to be made about AI here.

I guess one thing I want to tack on here is that the above comparison (intra-species variance/human traits vs. AI traits) is so oft forgotten about, that statements like "ChatGPT is often confident but incorrect" are passed off as meaningfully demonstrating some sort of deficiency on behalf of the AI. AI is just a mirror. Humans lie, humans are incorrect, humans break promises, but when AI does these things, it's indicted for acting humanlike.
So I need to give this a more thorough read. I'm pretty into comics and related media, but looking at the PoC it presents, I don't understand why it's so janky on first view, nor why it thinks it's good to require both scrolling and pagination (it's not). On the other hand, it eschews all animation which is good. So I don't know, maybe it's not so far off, from a future web-based presentation.

Side note - For anyone interested in legacy comics stored in cbz/cbr files, I recently published my desktop (native, no electron) viewing application [0]. It's free and open source.

[0]https://github.com/mftb0/cbxv-gotk3
Wouldn't this destroy my upload speed? Isn't running a regular server (not home media server) rate limited/outright banned in the TOS of most home internet service providers?
The "12 crew and 12 passengers" would, as far as I remember, require one doctor on board. The number of passengers a cargo ship may take without dedicated medical staff was ridiculously low and explains why it is so much harder/expensive to travel on board as a passenger than one would expect. (8 years ago it was $200/day and up)
Obligatory shout-out to the novella of the same name, by HN user (and, obviously, Actual Author) Charles Stross.

[1]: https://en.wikipedia.org/wiki/Palimpsest_(novella)
The first-gen Dodge Viper was notoriously expensive to repair for the same reason: the clamshell hood.
Okay, need to point out the obvious - a teleportation machine which takes you to the wrong place is a major issue. You really wouldn’t want to materialize to the wrong place.
https://en.wikipedia.org/wiki/Real-time_computing#Criteria_f...

https://en.wikipedia.org/wiki/Scheduling_analysis_real-time_...
Thank you! This looks promising!
> Google Research produces the seminal paper on Transformers - only to see others pick up their work and run with it.

Is the take away that they should have hidden it, or just that they should have come up with ChatGPT first? Would the researchers who came up with it have worked there in the first place if they weren't allowed to publish?

There are lots of copyright issues up in the air and going through courts now with generative models that Microsoft is able to presumably insulate from by delegating to an under-capitalized (relative to potential liability) startup. Especially if lots of their investment into that startup is non-transferable Chuckee Cheese tokens (Azure credits) that disappear as a liability to MS in an OpenAI bankruptcy.
Requiem for the Spartans
Great job AMD, now do RISC V so Apple's M1 can get some competition.
I've worked with crazier people than this.
Not exactly. OpenAI and Microsoft have called this "on a new, next-generation OpenAI large language model that is more powerful than ChatGPT and customized specifically for search" - so it's a new model.
Facebook does exactly that in Odense, Denmark.

https://sustainability.fb.com/wp-content/uploads/2020/12/FB_...
"Preventing large monetary transfers to organized crime inevitably leads to a culture of lawlessness and imperils all citizens" is certainly an interesting take, I'll give you that.
The problem with this scheme is that it has a positive feedback loop -t you're creating an incentive to publish research that would lead to an increase in said tax, e.g. by exaggerating the threats.
thank you <3 I always make this same dang mistake lol
That's exactly what happened 3 years ago too. Look at the sequence of events.
Indeed. Much like Apple. Apple has 4 ish laptops, that generally don't change much year to year. Compared to Dell or HP who have MANY more models, often seems like 4 models or so per market (edu, business, consumer, gaming, etc.) and are refreshed often.

Agreed on the self driving. Not a big fan of the Tesla look, but after living with one I'm a fan. Then again I've had some ugly cars, early Acura GSR (with the tiny headlights), early Subaru WRX, and early Forester Turbo. None would win any beauty contests. Model 3 generally seems like the look is determined by a wind tunnel. At least the model S (at least in some trims) is pleasantly curvy and has some style.
Would Rust secure cURL? (2021)
Okay, so Tesla has no or significantly more limited reason to build out a charging network. Good job, you made electric cars worse, thanks government.
Obviously(?) the improvement decreases with increasing n. From the table in [0], regarding the length (not area) of the square, it is about 10% for n=5 and 7.5% for n=10, and 4.6% for n=82.

[0] https://erich-friedman.github.io/papers/squares/squares.html...
They can detect warmth. So can humans. In this sense we are just like centipedes.
And a related question is do any/all of these programs use other copyright material as their training data and is it a breach of copyright?
I got confused by the usage of the term "log" (and the word gets used so much in many pages that I hit semantic satiation).

> When you log data to the Rerun SDK, Rerun handles everything needed to visualize it. It handles live streams from multiple processes across the network, as well as simple playback from recordings. That means taking care of serialization, transport, synchronizing streams, out-of-order data, and automatically constructing visualizations with sane defaults.

so is "record" / "recording" the right concept? When I think of logging I think of exactly lines in a text file (or maybe the "log" from a logging filesystem).
The topos of functions Sets^(->) has as its objects functions and as its morphisms m: f -> g function pairs (h,k) that make a commutative square with gh = kf. If we take function pairs like (h,k) as our morphisms then we can do several things to simplify them: like making the two functions in the pair equal or making one of them into an identity.

1. precomposition: with precomposition you should use a function pair (h, 1_b) that has an identity for the second part to form a morphism m: fg -> f like so: https://q.uiver.app/?q=WzAsNCxbMCwyLCJBIl0sWzIsMiwiQiJdLFswL...

2. postcomposition: with postcomposition you should use a function pair (1_b, k) that has an identity for the first part to form a morphism m: f -> hf like so: https://q.uiver.app/?q=WzAsNCxbMCwyLCJBIl0sWzIsMiwiQiJdLFsyL...

3. conjugation: with conjugation you can actually use an equal function pair (g,g) to get a morphism from a function f to its conjugate gfg^{-1}. Then we see that this forms a commutative square for gfg^{-1}g = gf. Thusly, there is always a morphism from any function to its conjugate by a bijection like so: https://q.uiver.app/?q=WzAsNCxbMCwyLCJBIl0sWzIsMiwiQSJdLFswL...

Therefore, I would say that precomposition, postcomposition, and conjugation form special types of morphisms between functions defined by special properties like having one function be the identity or having both functions be equal to one another. Then beyond that we can classify these morphisms by rather or not their components are projections, injections, or bijections to get towards what you are speaking about. This all fits in to the perspective that functions are objects in Sets^(->), so that is nice.

I can't say I've ever used APL but I have heard of it. It has some very interesting syntax and notation, but I have made it far enough to actually try it out yet.
IMO it's only a matter of time before someone hooks up a LLM to a speech-to-text recognizer with a TTS engine like something from ElevenLabs, and you have a full blown "AI" that you can converse with.

Once someone builds a LLM that can remember facts tied to your account this thing is going to go off the rails.
A similar oddity is Russia's Autonomous Jewish Oblast, the only Jewish jurisdiction apart from Israel (although the Jewish population is now quite small), that also borders China.
A Concerning Trend
I remember wheezing with laughter at some of the earlier attempts at AI generating colour names (Ah, found it[1]). I have a much grimmer feeling about where this is going now. The opportunities for unintended consequences and outright abuse are accelerating way faster that anyone really has a plan to deal with.

[1] https://arstechnica.com/information-technology/2017/05/an-ai...
Out of curiosity, why would growing up on bottled water lead to terrible dental outcomes? I grew up in India, where the water supply isn't fluoridated, and I didn't see dental health that was significantly worse than the US. We probably got most of our fluoride from ingesting bits of fluoridated toothpaste.
If tight_layout doesnt do the job, adding a ‘bbox_inches = tight’ may do it. I dont know why though.
The problem is that this.. preference.. isn't made clear or justified anywhere. I use `async_std` because its value prop is "the stdlib but for async". I don't want some weird thing called `tokio` in my codebase with extra bells and whistles I don't need. async-std is a minimal simple fast async runtime for Rust. I am aligned with their vision and love using it. async-std works flawlessly and only really lacks more comprehensive stream support which I augment with the futures crate as is pretty standard.

If yall want everyone to use Tokio then tell me why it's better than async_std. Tell me why it's the de-facto community standard. Because "popular web framework" uses it? Why are all the cool kids using it? Because the others are?

No. Either I want some group with authority to bless a core async runtime implementation that aligns with Rust's philosophy and value prop and bring it under their wing so that it can be made to serve the goals of the project which might include being configurable enough to deploy in all of the myriad scenarios and environments where people use Rust today.

Or in lieu of that, provide the necessary abstraction layer so everyone can bring their own executor like it's supposed be.

The entire premise of Rust not providing a blessed implementation is so that people could pick and choose based on their preferences and use cases. That's the argument. The reality is that the goal is not realized because Rust has not done the work to enable everyone to simply bring their own runtime and call it day. So Rust has not delivered on the core reason for not shipping a runtime in the first place.

The solution of "just use a de-facto blessed runtime" really seems like a concession if Rust's argument for not having one is to be respected.
The only person whose opinion 20% time, as prescribed, does not value, is your manager's. (As they shouldn't be able to veto it.) Your 20% project is not going to get anything done if you're not taking the opinions of your collaborators/dependencies/customers into account.

IMO, The reason most people don't pursue 20% projects is because it's hard to be the manager, product manager, and main developer on a project that you're giving 1 day a week to. It's really, really hard. Most people don't have the skillset to do that well.

So the path of least resistance to a simple life is to just devote 100% of your time to what your manager wants you to work on, where its her job to manage, product manage/wrangle product managers, etc.
Sounds like I hit a nerve.

What name-calling? I called the regime incompetent. Not India's inhabitants. I have no bias against Indian people, if I do, it's a positive one. 90% of my team is from India.
Please reply to the sibling, I would make the same point. You seem to be overreacting, just not as much as the others.
That's because planes aren't self-sufficient. They exist to make us money, which we then use to feed and service them. Flying around on their own does not make us money. If it did, they would be doing it.
Kind of. New Teslas still need to buy a ~$200~ $250 physical CCS to Tesla adapter. They have the circuitry to work with CCS stalls, but don't have the right pinout.

https://shop.tesla.com/product/ccs-combo-1-adapter
> Itanium will be remember for quite a while because it gave us the Itanium C++ ABI

What a thing to be remembered for. But fitting for the inelegant, baroque architecture IA64 ended up becoming.