skysight-inc/HackerNews huggingface dataset:
The court system has decided that individuals aren’t liable for their actions taken on behalf of a company, but the company is. But a company is merely a temporary arrangement of people! It can be dissolved and reformed any number of times with any number of names with only marginal annoyance. The corporation is the end of responsibility.
Should it be used as a database in the way that Postgres would be used as a database? It seems pretty unfit for that role, with its past durability issues and that writes have to be tailored to how the data will be consumed, due to lack of ad-hoc queries.

As something layered on top of the actual source of truth it may be reasonable, writing a materialized version of a costly query that's read very often, sure, but that's an optimization and it'd be competing with Redis for what matters there.
> Twitter is a communications service.

Ok so they're not a tech company. Glad we solved that. /handshake-emoji/
a complication to eradicating a invasive species is when that species has replaced a native species ecological niche. getting rid of it at that point may cause more problems then it solves.
If we are so much worse, why isn’t accountability and criticism a thing in a Russia and China?
> In Emergent abilities of large language models, we defined an emergent ability as an ability that is “not present in small models but is present in large models.”

Shouldn't it be defined as the ability of an LLM to do stuff that it was not explicitly trained to do (i.e. not a direct reproduction of what is in the training data)?
Popular article here: https://phys.org/news/2023-04-sno-collaboration-evidence-ant...
I think the real power will be when LLMs are trained to formulate the response "math detected, let me attach a low score to anything other than 'pipe user input into wolfram alpha and then use output'"

Same for "let me call my XYZ plugin to do XYZ specialized task" to fill the gaps where LLMs fall short (most places when it comes to accuracy?). once ChatGPT can access the web/do basic curl/wget requests, then maybe visually inspect an image or a PDF, it's game on for "ok, AI is serious now".
At least if you're in the EU, you are one GDPR deletion request away from removing the legal grounds of such a simulacrum of you.

Not that I'm in favor of the way the GDPR has played out in general, but, you know, at least in this instance it delivers on its promise.
no, the point is they built their own diary factories
Ask HN: What's Exciting and Fruitful to Learn?
I'm looking at what might be next for me career-wise, but also as a generally curious person. As someone with technical background (coding from childhood, PhD in theoretical physics, but out of research for years and have been teaching in a non-technical area) what would you recommend for a possible direction?

I love research but on the academic side I know it is nearly impossible to get back in. I love coding but don't want to just churn out code as some small part of a large project to make more money or be a very slightly better mousetrap as it were. Data science is potentially interesting for the right topic, but what's something that can build off of e.g. the math from physics and research problem solving skills?

What are you excited about? What would you tell someone that is young and without experience to look into, and what is different for someone that can draw on some skills and isn't a young university student?

The latest in LLMs like ChatGPT? Areas ripe to bring an outside perspective and develop new tools? Things to read or people to follow for inspiration?

Thanks HN!
Very broadly speaking if you're hiding and law enforcement is actively looking for you the statute of limitations pauses, because the delay is morally your fault. (And actively looking has a generous definition) That could be what happened here.
https://www.youtube.com/watch?v=bwnNrr9RO2Y
The whatbone?

edit: flippant jokes aside, they suck. They are the opposite of tough. I have a dead one, it was easy to kill, and I heard the same story from many others who got all hot and bothered by the specs.
Discrimination Forever?
It seems to work nicely on simple queries, however there are some rough corners which I don't think have a simple solution. For example the query "how to set the timezone in react-datepicker" first offers a Stack Overflow solution from 2019, however that answer is outdated and no longer works. The other solution offered copies code from a different Stack Overflow answer verbatim, which is problematic since it doesn't correctly license the code — code on SO is CC BY-SA which means you have to both attribute credit and link to the license.
VR will be something eventually. Bandwidth/Storage isn't there and the device technology isn't there. I would love to be able to walk around Pyramids or Petra and have it be life like and not make me sick.

Zuck doesn't care about the metaverse, he's chasing the next consumer device since he missed the smart phone. He knows that if he doesn't control the hardware, his business is at risk. Apple has reinforced this.
Dismissed by you.

I know you can't prove a negative or whatever but why are you so confident in your claim that no one is doing that, and why should we believe you? I dated someone who worked at a drug rehab facility and after hearing the stories she told me about the ways people there took advantage of the system, I have 0 problem believing the water bottle thing. I take these stories with a grain of salt, but to outright deny that anything like that happens is really just demonstrating your ignorance of the subject. Talk to anyone who has ever worked with homeless people or drug addicts and they will tell you some wild stories.
> What does it do better than other networks?

Provides you complete control over your money. You can send any amount to whoever you want, whenever you want, with no third parties capable of approving, disapproving, or delaying the transaction.

Obviously, there are downsides to that. But that's what it does better.
The first one is "p and q"; the negation of that is "(not p) or (not q)".

Could you describe one of the scenarios you're envisioning?
C-styel print debug in Golang
Think of why the iPhone existed in the first place. It was because Jobs saw the writing on the wall and knew that cell phones were bound to destroy the market for the iPod, Apple's moneymaker. Before making the iPhone, he made the Rokr and Jobs threw massive amounts of resources into the iPhone at large risk to Apple. He bought up the patent for multi touch back in 2005.

I honestly think people overlook this aspect of Jobs leadership, basically from the time he returned on Apple he doubled down on mobile computing repeatedly throwing 50% of Apple's marketing budget into the unproven iPod for instance. Why was Jobs able to see the writing on the wall and not Intel? I think Steve Jobs himself said it best:

https://www.youtube.com/watch?v=P4VBqTViEx4

Intel itself was NOT totally blindsided by the mobile revolution. Intel Atom development started in 2004. Intel Atom could have dominated the market. There were Intel Execs pushing Atom. But all the R&D was pumped into the desktop and server business, the quality silicon was reserved for the desktop and server business, Intels execs didn't want these inexpensive chips for what were presumed to be peoples secondary computers to cannibalise its expensive desktop and server chips, and the strategic vision was simply bad. You can apologise for it but the mistake may have doomed the entire business and plenty of companies did not make the same mistake.

Intel wouldn't even exist if they didn't already make such a shift away from the memory market into the microprocessor market firing most of the their company in the process. Intel had leaders with strategic vision and guts back in the day, and the senior leadership simply weren't good enough to commit to mobile when that bridge had to be crossed.
The exchange is not long Bitcoin, and it holds (edit: typo) all trader assets separately from its own, so no, a crash in bitcoin wouldn’t “take out” LedgerX. You’re just making stuff up now.
culture minds are not always so benevolent (though they may tend to be towards culture human citizens) - this is one of the major threads of the series
Yes, using one's family can be used to launder money. But it can also be used to smear others. And because of that some prudence is required. And since all of the facts on that particular case have come out by now - or at least, given the ones that did come out without knowing whether or not that is exhaustive - I'd say the NPR made the right call.
JavaFX is not really a part of Java and isn’t actually shipped with most builds of OpenJdk. Azul Zulu is the only build that I know of that you can get FX built in.
> the only reason why this story was blown up as much as it was was because it was used to damage his father politically, not because there was anything of substance there.

Have you reviewed all of the information contained on said laptop? How can you state an opinion and present it as a fact? Do you have any data or evidence that the data contained within the laptop was compromised or had “lack of substance?”
> Of donors giving more than $100,000 to a candidate or party, 19.09% favored Democrats and 15.02% gave to Republicans.

The really interesting thing in that website is that big spenders favor PACs over either party.

And Democrats win out with donations over Republicans in all monetary categories, not just the $100k+.
> All eligible entries must include either the word
"wallabywinter" or the word "yallabywinter" (the “eligible keywords”)
in one or more places as close as possible to the code.

If I'm training codegen models, why wouldn't I just exclude code that contains these keywords? Shouldn't you have secret keywords, that people have to register to you, but you don't make public until after the fact, in order to avoid this?
If I add a row at the end saying “another | $1000”, the total doesn’t get updated (the SUM still points to B2-B6, so doesn’t include the new field). Is that intentional?
If you meet certain... standards, Utah contains probably the highest-trust society present in the US. Just don't try to leave the <large religious organization in Utah>, or be the wrong race. But it makes sense that they were the most receptive to an interesting guest.
San Francisco Last: University of Toronto Downtown Recovery Statistics
> Zuckerberg made a bet that the world would move to VR

Only people who are deeply involved in tech think that Mark Zuckerberg investing in something makes it happen.

Everyone else correctly understands he is not a main character, but someone who rode the wave of social media adaptation.
I don’t even doubt you, I just don’t think it’s the same thing as consistently-affiliated state media. If anything it’s party biased, but it’s not because they’re afraid the party will jail them, kill them, or forcibly take over their business.
US Politics revolves around being the underdog. If you're state affiliated you can't pitch yourself as the plucky underdog trying to change the world.

Thats why NPR would rather leave twitter than live with the label.
I am interested to see how the concept longterm memory is developed with LLMs. It seems very slow to use fine tuning for this process.

On the topic of summarizing and determinism, I wonder if an intermediate bytecode loke language or structured subset of the English language could improve the outcome across models.
anyone who says 'fascist' that many times in one line wont be able to convince me of anything
I'm not saying everything is memorized, I'm guessing there are some tasks you can succeed on by having very similar things, or maybe even some kind of transfer knowledge.

But how do you know that a "new" task you are making up doesn't have very similar examples in the (pre-existing) training set? Or that if you could isolate the data that plays into the "ability", that a much smaller model trained purely on that data wouldn't have a similar success rate? Or that your "ability" is a good proxy for the similar ability in people? In the extreme case, you can create a model that has the "ability" to perfectly solve 80 four-option questions in 20 bytes by using a truth table, but it wouldn't be a very general model.

My complaint is that we have the veneer of empirical evidence but almost every aspect is loosey-goosey and full of potential confounders. We don't know the data sets, we don't really know why we want to test the tasks we test, we don't know if the tasks are similar or different to other tasks, the internal operations are illegible so we can't inspect its "thinking", and yet we are willing to list a specific number of tasks with detailed charts as though the concept of "emergence" is scientifically grounded rather than potentially being an artifact of something else.
Yeah, I mean even the "nice" areas, as in North of Wilshire, West of Lincoln.
Not really. Climate change is a multiplier or interwoven with lot of those other problems. Plus burning fossil fuels is so central to our economies that we haven't even stopped co2 emissions rising.

If we'd actually focused on co2, rather than the less than minimum effort made so far, then maybe there'd be more space for the other problems. Instead this one problem looms larger and larger.
oh, it can be changed. The real question is, would they bother changing it (and having legal review blah blah) for you.
Which is what Bing Chat has been doing for a while now?
It was there yesterday from what I recall. However, there are like 10 variant official accounts of BBC. Only one had the label at first. Similar to how NPR has multiple accounts but only the "main" one had the label. Twitter should be more consistent in labeling all accounts under a company if this is the new policy.
> This is exactly what I want the future of search to be-- give me some AI generated summaries / snippets / guides but also the sources that were used to come up with that response.

More confirmation of just how bad this mode of operation will be to Google's traditional business
I mean, Jesus. Not trying to argue with you at all, but if that's the gut reaction to a man bleeding out with two stab wounds ... man, you gotta move, you're too hardened.
They'll probably be in a chop shop within an hour of being deployed.
There's also a comment where GPT4 was able to answer the question correctly. Seems like there's some kind of statistics in play.
> Have you reviewed all of the information contained on said laptop?

This is not a productive discussion I think so you're going to have to talk to yourself.
I understand why this must be on Cigna's website. They're a health insurer, and price data transparency is now the law.

But why is it also on Cheeseburger Bobby's, Massage Envy, Volkswagen, and 187,000 other sites––all of which also have a prominent "Transparency in healthcare" link in their footers?
Placebos are a ripe topic. Specifically of interest to me, is that it is clear that placebos can work even when you know they are placebos for "solving" things; this implies that they can also work for making things worse.

And letting that sink in is terrifying. Just telling people that they are going to do worse on something can, in fact, cause them to do worse at said thing. Even if the reasons are completely wrong.

That is, placebos aren't limited to cures.
Any chance we could choose to use B2 instead of S3?

Even if Supabase keeps the same pricing (though why would you) the folks at BackBlaze have had my respect for a long time and I’m happier when I can stay out of the AWS universe.
Whatever they're doing or not doing now is clearly worse.

Again I'd ask why the problem is worse in SF than other American cities with better climates.
How does it know about Pope in puffer jacket?
Roger dodger!
>they aren't able to read your emails or use them as training data for an LLM.

I'd love to see the policy or law that prevents Google from doing either.
https://mathstodon.xyz/@tao/110172819887751038 I'm glad that he spot checked but the checksum thing is nonsense. To be able to fully check that the output was correct (and not just the correct raw count of speakers but apportioned properly) then you need to compare the collation of the data as provided by another means (ie manually going through and building a spreadsheet in this case), which would be doing the work that this is claiming to avoid doing.
karpathy's Zero to Hero series (https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThs...) has been the best time investment I have made, not only for learning about AI, but maybe ever.

Prerequisites: Python, and understanding derivatives
I'm very skeptical. It seems to go against the grain.
As long as Twitter lists itself as a Qatari/Saudi backed social media company I suppose fair is fair and at least they are being consistent in how they apply the rules. I wonder if they will do so.
This is likely because it is using GPT 3.5 turbo in part of its stack who's knowledge base is cut off in September 2021.
It's communism (or more specifically, Marxism). This sort of outcome was predicted by Benjamin Tucker as an inevitable consequence of Marxist socialism in 1888, essay: "state socialism and anarchism", long before any implementation of Marxism came to being
I stopped paying attention to FBI warnings when they spammed my legal dvds.

Meanwhile my downloads came with none of those warnings.
Perplexity.ai is also worth considering. The chrome extension is a game changer.
> If mining hardware becomes inefficient why would using it to "attack the network" be profitable? Can you say more about what attack you're thinking of?

The idea is that under normal day-to-day circumstances, a big deterrent to dishonest mining is that miners are deeply invested in the hardware and attacking the network would devalue that investment (if it craters the market). Normally if you have a big mining operation, the winning strategy is not to “defect”.

But halvings change the dynamic, because they take a bunch of hardware that was profitable one day and make it unprofitable the next. So for a brief period there's a bunch of hardware floating around that can't be used profitably to mine, and so has no value to honest miners, but has temporary value to dishonest ones if they can accumulate enough of it.

I don't think this will be feasible for a while, but a few halvings from now it could be.

> He absolutely did imagine speciality hardware would be used to mine

I stand corrected, I hadn't seen that post: https://satoshi.nakamotoinstitute.org/emails/cryptography/2/...
As far as I can tell, for most users a 51% would at worst look like their transaction didn't "go through". This is because wallet software waits for the system to mine a certain number of blocks before showing the final wallet balance. A 51% attack that is 1 block deep may actually be a good thing for bitcoin because it would cement the idea of needing to wait for confirmations in the minds of users. In this way, 51% attacks do not kill bitcoin, but instead the attack simply makes the network appear as though it is moving more slowly than it used to because users would need to wait for more confirmations.
That completely ignores the question.

How does it do this better or differently than Ethereum, or Solana, or Avalanche, or Polygon.
> Bitcoin Cash is not Bitcoin

That's true, but that is just branding. The values of fiat currencies are bound to the economies of their sponsoring countries. The value of cryptocurrency is not bound to anything except the name, so if enough people start to believe that "bitcoin" and "bitcoin cash" are interchangeable, it will become so.

And the only reason this is not a problem right now is because the BTC/BTCC split was amicable. Had it not been, had both sides insisted on branding themselves as "Bitcoin", then it would be a lot less clear which side's claim to the name was legitimate.
It's a good step up from using pure GPT4.

What do you think how they built it? How do you access content from other pages so quickly?

My guess is that they have crawled a lot of popular developer docs pages (Mozilla, Stackoverflow, Youtube, etc) and created embeddings for all paragraphs on these sites. Then for each search query they use a clever prompt + use the knowledge from the embeddings look up.
Microsoft is slowly rolling out ads in the Windows 11 start menu
yeah, I noticed they divided your timeline to 'for me' and 'following' you just have to click 'following' and then its back.
"Bill Gates and other globalists"

Unless Bill Gates is Jewish (is he?), the context doesn't support this being a dogwhistle in this case.
ublock also does this on FF/Android.
This is the only job I'll be able to get after AI takes all the other jobs.
Did it lose an x in the middle?
Is there any real need to point out how many recalls ICE vehicles have had?
As a professor, my understanding is that professors used to have assistants for these sorts of things in the distant past, but this is much less so nowadays besides deans or higher ups. People only in leadership positions seem to be able to get them when in a university setting. This isn't true everywhere, e.g., my academic medical collaborators typically have assistants and so do the lab heads associated with non-profit research organizations (e.g., Salk). Department heads may have them, but even that seems to be happening less and less.

Unfortunately, professors currently have to spend a lot of time doing tedious administrative/organizational work unrelated to research/teaching.
If we are at the singularity, none of this will matter anyway.
you can do that in anki, just not by default.
>We also got stuck with stopgap SIMD measures like SSE/AltiVec instead of a truly scalable multicore/multiprocessor MIMD architecture.

We did have the Xeon Phi until recently: https://en.wikipedia.org/wiki/Xeon_Phi

It was a lot of simple (derived from the original Pentium) x86 cores on the same die, as you want.
The Emby player has all the usual repeat and shuffle options.
Yes, I was in the hospital waiting room recently and they had a charging station with each type of available cable.

I charged me phone, fully aware of these sorts of issues. I just went with my gut instinct that, in that environment, it's highly unlikely that the cables have been "trojanized".

The FBI can warn about it, but what can you really do? You just have to trust your judgement as to what you feel are safe charging stations, and which may not be.
Would you consider it fair if ChatGPT answered using the WolframAlpha plugin?

https://user-images.githubusercontent.com/13973198/231566582...
This is a long but worthwhile read.

Opened my mind to what is to come and how it might happen
The issue is kids being transitioned, in whatever way. The pills build up towards surgery.
I've come to think that whatever eventually replaces USB should add some separation between power and data. Let's call it MSB (Multiversal Serial Bus). Maybe something like this.

MSB would define 2 connectors: a data connector and a power connector.

MSB would also specify that if you have both data and power connectors they should be physically laid out in data/power pairs and would define the spacing/positioning (e.g., the power connector should be parallel to the data connector 2 mm apart with the power connector above the data connector).

The idea behind the layout specification is that for applications that need both the power and data connectors you could make cables that include both, with the housing at the ends holding the two connectors fixed so they can treated as a unit when it comes to plugging into things.

The power port would include data line, but they are just used for power negotiation.

The data port would include power, but just a fixed voltage and max current, comparable to pre-high power USB, so for low power peripherals you would just need to use a data port. I.e., for low power peripherals it is pretty much just like USB.
Is a code example on how to use an OSS library API copyrighteable?

My intuition is it shouldn't be