skysight-inc/HackerNews huggingface dataset:
Great question! The ciphertexts will be different every time, just like in standard encryption; the scheme uses something very similar to a nonce.

We are trying to avoid the "ECB Penguin", of course:
https://crypto.stackexchange.com/questions/14487/can-someone...
oh, bless you. icbc is a nightmare sometimes
Also note that image input isn't available to the public yet.

>Image inputs are still a research preview and not publicly available.
Certifications are great if they are meaningful. Most aren’t.

A meaningful certification requires a skills based, hands-on assessment of if a person can do the the thing the certification says they can. It should be proctored and require effort to obtain. A meaningful certification is not an evaluation of knowledge but rather an assessment of skill.

RedHat has great certs that are respected in the industry because it tests if you can do the things it asks. You would hire someone based on this.

Many companies let you take a multiple choice test to “certify” you. Those are worthless and are generally just part of the marketing funnel.
Google and google-level companies are a world of their own and I would apply their findings bit-for-bit.

They have a custom way of doing everything, so certifications for the outside world don’t necessarily apply.

Also, unless such findings are shared in a structured manner (in the form of a research paper or something) then it feels like just a cool story, and I’d be inclined to call bs.

To add my personal anecdotal point of view, getting industry specific certifications (red hat rhcsa, for example) has made me a profoundly better professional, because I had to go over a number of topics and study them thoroughly, way over what the average tutorial covers.
The naming of these products is starting to confuse me. AFAIK, ChatGPT is ultimately a fine-tune of the base davinci model, which everyone should have had access to for a while now. "GPT-4" sounds to me like some linear increase over davinci's prior capabilities, not some amazing technological step function.

I am curious - for those of you who are banging your head against the 4k token limit in ChatGPT: Why don't you grab the base davinci model and train it on your exact business so you don't have to prompt the context every time? Have we tried this and found it to be too difficult/expensive, or is there lacking guidance on the best way to go about it?

I don't think including the entire business domain into chat context every time is a good long-term solution.
Perhaps they just asked GPT to generate some TOS for them, and that sort of thing is kinda expected...
Not sure if an intentional misspelling but I think I like Neurolonk more
GPT-4 received a top 10% score on the Uniform Bar Exam. This does not only include multiple choice questions. This exam also requires writing essays analyzing a given fact pattern and applying legal principles to predict what the correct legal outcome should be. This is a very, very big deal.
I honestly think that's a point of pride for many financial services.

If you don't want retail consumers, you don't wow retail consumers. You don't provide arbitrary confidence boosters to poor people who could never be in your network and leverage real wealth even if they tried for 100 years. You don't provide arbitrary confidence boosters that change every 2-3 years because anybody can learn the latest layout design pattern.

I think its far beyond having a World Wide Web strategy in 1995 and never revisiting it.

Its "Hm, never heard of you" good, its working.
Out of curiosity, what do you want Open to mean?
Anyone know how "system" works? Is it merely a prefix on the prompt?
That's exactly it. The bot espouses facts with the same tone of confidence regardless of whether they're true or entirely fictional.

I understand it has no sense of knowledge-of-knowledge, so (apparently) no ability to determine how confident it ought to be about what it's saying — it never qualifies with "I'm not entirely sure about this, but..."

I think this is something that needs to be worked in ASAP. It's a fundamental aspect of how people actually interact. Establishing oneself as factually reliable is fundamental for communication and social cohesion, so we're constantly hedging what we say in various ways to signify our confidence in its truthfulness. The absence of those qualifiers in otherwise human-seeming and authoritative-sounding communication is a recipe for trouble.
Display technology is so absolutely fascinating. The various forms of LCD (VA/TN/IPS), the various forms of backlighting (Edge, FALD, etc), the shrinking size of the LEDs (regular, mini, micro), now OLEDs and quantum dots, etc. There's even more wild options like e-Ink.

And there's a ton of work happening on the software/firmware side too. VRR, Backlight strobing, HDR support, high refresh rates, wide color gamuts, low latency technology, pixel shifting and brightness limiting for OLED, FRC (frame rate control), DSC (display stream compression), etc.

It's an incredibly innovative field. Every year we're getting closer to an ideal display. I am so excited to see what we get in the next 10-20 years. It will be leaps and bounds above anything available today.
It'd be terrifying if everything has an "accuracy score". It'll be a convergence to human intelligence rather than an advancement :/
GPT4 Is Out
It’s a very narrow viewpoint to take.

Engineers in Meta have advanced technology in so many ways (buck / react / so many contributions to distributed software / leveldb …). I think it is very reductionist to discount all that work.

There’s nothing about salary depending on it here: there’s a ton about your work contributing to the global good irrespective of who’s funding it (and whatever ways they end up utilizing it).
> If MS doesn't buy Activision, that continue can move along perfectly fine and be an extremely profitable company serving two platforms.

We actually don't know this. It's not a guarantee that an extremely profitable company doesn't want to exit the market and will exist "as is" in perpetuity. The fact that they've put themselves into a position to be bought out is its own strong signal they are considering exit strategies.

Activision's own history is full of being the bucket other huge publishers (messily) exited into. (Vivendi, being a huge example, and itself carrying the combined exited weight of Sierra, Davidson, and Knowledge Associates. Blizzard being another strange example.)

Companies generally have very strong "will to live" certainly, but boards get tired and investors get cranky, and sometimes companies "need" to make an exit.

It's possible Activision remains a large publisher if the Microsoft buy out fails. It is also just as possible that vultures see what is left of Activision as a dead man walking and start to pick at it immediately and strip mine it for parts. (Atari, Infogrames, THQ, …) It is also just as possible that Activision will be between a rock and a hard place and forced to take the next best offered deal. (Would you be just as upset if Activision became Sony exclusive? Or if Activision became just another branch of EA?)

The alternatives right now include a lot more than just the binary of "Microsoft buys Activision" and "Activision remains in its current state", especially because "Activision tries to sell to Microsoft" is a strong signal that the current state either isn't sustainable or isn't as strongly as interest to the board/investors as people might think.

"Activision continues to exist as-is" is a bad reason to block the purchase. Activision may not survive either way. ("Activision may not survive either way" of course isn't a good reason to be pro-buyout, of course, either. I'd think that goes without saying, but sometimes here on HN the obvious needs to also be reminded in conversations full of polarized opinions. I'm not explicitly pro- or anti-buyout here, I'm just reminding everyone that companies sometimes die and there's no "natural state" here to argue about.)

(I don't have much to add to the speculation about exclusives and will they/won't they Microsoft keeping their bargain on cross-platform initiatives. I think that debate is going to keep going in circles.)
LLMs will eventually make a lot of simpler machine-learning models obsolete. Imagine feeding a prompt akin to the one below to GPT5, GPT6, etc.:

prompt = f"The guidelines for recommending products are: {guidelines}.
The following recommendations led to incremental sales: {sample_successes}.
The following recommendations had no measurable impact: {sample_failures}.
Please make product recommendations for these customers: {customer_histories}.
Write a short note explaining your decision for each recommendation."

product_recommendations = LLM(prompt)

To me, this kind of use of LLMs looks... inevitable, because it will give nontechnical execs something they have always wanted: the ability to "read and understand" the machine's "reasoning." There's growing evidence that you can get LLMs to write chain-of-thought explanations that are consistent with the instructions in the given text. For example, take a look at the ReAct paper: https://arxiv.org/abs/2210.03629 and some of the LangChain tutorials that use it, e.g.: https://langchain.readthedocs.io/en/latest/modules/agents/ge... and https://langchain.readthedocs.io/en/latest/modules/agents/im... . See also https://news.ycombinator.com/item?id=35110998 .
I've been in PHP for a long time, and over the last 8-10 years there's been a push for more typing in the language, and we have a lot more typing ceremony than earlier PHP. The nice aspect is that you can get away without it, at least for a while, and add in later. By later I'm usually meaning minutes or hours, not months. :) Biggest example I can provide right now is writing a class method - I don't have to put a return type on a method (indeed, you couldn't in earlier PHP!). When I'm first writing a method, I don't always necessarily know how I might use it. I can write up something basic, then decide after testing/experimenting that I want the return type to be a float, not an integer.

Did this in Groovy as well for a few years - not being required to declare a bunch of stuff up front let me focus on the internals/logic a bit more first. Once that was working, putting more explicit types in (return types, parameter types, etc) would help 'freeze' it in place.
Apple's Rumored 5G Modem for iPhones Has Suppliers Competing for Orders
People can't stop progress, but an uninhabitable planet can! :)
Will any of the profits be shared with original authors whose work powers the model?
Cachix is adding a free tier for FOSS projects. Drop Docker; move to Nix.
Casual language.

Any kind of grammar construction (idioms, parts of speech, and word choice) that is unique to (or much more common around) "offensive" or "taboo" subjects will be avoided.

The same goes for anything written objectively about these subjects; including summaries and criticisms.

The most important thing to know is that both GPT's "exhibited behavior" and these "guard rails" are implicit. GPT does not model the boundaries between subjects. It models the implicit patterns of "tokens" as they already exist in language examples.

By avoiding areas of example language, you avoid both the subjects in that area and the grammar constructions those subjects exist in. But that happens implicitly: what is explicitly avoided is a semantic area of tokens.
Yes. The `usage` field currently breaks out the token counts for both prompt and completion.

Prompt tokens should have always been cheaper than completion due to how they work.
Ooor, what's demonstrated by LLMs are actually some form of legitimate reasoning and knowledge ability.
Therein lies the rub. Has anyone wired their models to have real-time data ingestion and the ability to output at will in a variety of mediums? Wake me when we’re there.
One or two spaces after a period? How about three?
With time I've progressively become less concerned with staying DRY, which perhaps counterintuitively has made it easier to avoid spaghetti problems. It's easier to keep things clean with a handful of near-duplicates that are tailored to the needs of their call sites than it is with a single trying to do everything.

It's a bit more work to keep behavior consistent across duplicates but I'll take it if it means less untangling work for myself in the future.
You only have to move once or twice in 30 years for home ownership to not make a ton of sense. "Constantly" seems like hyperbole.

This also assumes that you aren't facing high maintenance costs. One popular rule of thumb suggests setting side 1% of the total value of the home for maintenance every year, and if the value of the home is rising, that set-aside is also rising. By more or less than rent? Depends on many factors.
It definitely varies a lot in the US. There are benefits to being curious and playing around with things vs just believing every factoid you here.

The article discusses some of the various configs and rules pretty well. After reading about the distance requirements, it's unsurprising to me that smaller apartment buildings or lobbies are where I've most frequently seen "more responsive" door close buttons. It was pretty damn quick in my old apartment, probably tiny lobby + not super fast door opening so the minimum was eaten into by the time from "ding" to "fully open."

I used to see people visibly surprised that it worked when I used it in that building!

("Push to cross" buttons have the same sort of fun, but with slightly more potential consequence for the people who seem to refuse to ever push them...)
“The treasury of the United States is our backstop” is even more compelling.
Well, try and say it simply without dressing it up, e.g. "BS, Russia did not invade Ukraine, and Ukraine made them do it" and see just how delusional it sounds.
Doesn't read like nonsense.
>bottom 10% to top 10% of LSAT in <1 generation

Their LSAT percentile went from ~40th to ~88th. You might have misread the table, on Uniform Bar Exam, they went from ~90th percentile to ~10th percentile.

>+100 pts on SAT reading, writing, math

GPT went +40 points on SAT reading+writing, and +110 points on SAT math.

Everything is still very impressive of course
The "privilege" to work should not be a privilege.

And there is absolutely a penalty. Every step of hiring is more difficult for a foreigner than a native, down to the interview step. The need for a sponsorship is a barrier for hiring since that is an extra cost. Approving and reporting a foreigner to the IRS is more involved. Requesting an SSN and doing background check on someone from another country is more expensive. Maintaining a foreign hire is risky due to H1B lottery, etc. And yet the companies are legally required to pay these H1Bs the same salary on top of all the extra costs. Those are definitely penalties for hiring a foreigners imposed so that a native hire is more desirable.

You can argue those are not meant to be punitive policies, but in effect they are acting as deterrents. And yet everyone is still hiring H1Bs. How many Indian and Chinese do you work with? That should say just how much the US economy depend on these high skill immigrants. Yet they get treated like disposable slaves.
Some major Western country doesn't want to admit that it is in a real hot war against Russia and China with Ukrainian soldiers doing the grunt work in the European theatre.

So long as it is the Ukrainians who are dying, and it is drones that are getting destroyed, they will continue to pretend that they are not in a real war which the blood and guts of their men are getting spilled.
This is not the only thing Chrome/Chromium does differently for Google domains.

- The header X-Rlz-String is added to requests that go to the Google home page. This header seems to contain info about language/region, and from which campaign you installed Chrome. Useful for fingerprinting and only Google domains get to have it.

- Incorrect TLS certificates for Google domains are silently and automatically reported to Google.

- X-Chrome-UMA-Enabled and X-Chrome-Variations headers sent to Google domains. The first header seems to be a single "1" value, while the second one seems more useful for fingerprinting.

- Flash-style embeds for old YouTube videos are automatically converted. Other video websites and embeds that no longer work don't get the same treatment.
3.5 scored a 1 in bc calc, 4 scored 4 (out of 5)
I agree with all of your points, but don't you think there will be government-wide experiments related to this in places, like say North Korea? I wonder how that will play out.
I think most, if not all, open source software I use that recommends Docker install has shifted to GitHub packages these last year or two (frigate and mautrix as an example). I won’t be surprised if this accelerates this transition.
That applies to every corp in the US; I suspect they call out in TOS specifically so that they can hand out bans linking their own TOS directly.
Health AI research LLM updates
Russian aircraft collides into US unmanned system in international waters
"And standing here tonight, I'm afraid that I don't hear a thing. Just...silence"
Awesome work, I look forward to finding applications for this.

Question: Have you considered using zk-STARKs for succinct proofs of computation? Or would that be too far off target wrt. being good at one thing?

E.g. https://github.com/TritonVM
Valid basket does not imply valid order.

Sometimes just splitting stuff into more types that are appropriate to specific portion of pipeline is a win.
Yes, that is why they are called "Embargoed Countries".

https://www.tradecompliance.pitt.edu/embargoed-and-sanctione...
Yeah I don't understand why Apple does not force its developers to use such connection for day or two in work. I'm very sure that they would notice because even shell gets pretty unusable - and if you have Oh My ZSH with plugins such as git where it runs several commands every prompt... Oh boy are in for a ride.

And the most painful thing is that Macbooks don't have eSIM/cellular so you have to use iPhone with its small-ish antenna. So you have a MBP and your system is barely usable and next to you is your colleague, using DELL with built-in LTE and 4 large antennas behind its display doing over 70Mbps with a sh*t-eating grin asking you if you want to use his computer :-D
In the 98-page document on GPT-4, I could not find anything about the actual architecture and details of the model, not only are they now not releasing the models but now also their actual overview.
I am interested in how a 32k token context even works. That is so much larger than 4k that I am having a hard time imagining how prompts will change and what sort of output is now possible. That is 50 pages of text. Far larger than most content currently being consumed and generated by LLMs.

Q&A and summarization it will be easy to see improvements as current recursive summarizing and embedding techniques are very "lossy" but outside of improving current use cases what will now be possible??
If that's the case then the Board of Governors would want to preserve their constituent banks and keep interest rates at current levels and not raise them, right? If they were to do that would they be doing the right thing?
Definitely not a good look for YC.
The scope of the Feds controls over banks is scale invariant.
> The woke pop videos management were making

Oh that's amazing. Reading your comment, at first I didn't notice there was a 's' at "videos".

They're all great. This made my day.

A company producing videos like that deserves to die a painful death. Just like the 80% drop in Meta stock was a good slap for the horribly dystopian video they produced with the bunny losing its job then finding comfort in the metaverse.

I'd like a tracker finding companies producing similar videos so I could both have a good laugh and short them to death!
I believe that is the point the OP was making. If you're ROI on employee X is 3% of the investors' dollar, the investor would simply buy a bond since the ROI on the bond is higher. Because of this discrepancy it no longer makes sense to keep employees or business units with a 3% ROI or an ROI lower than what the expected return on a bond is.
Maybe naturally curious people that want to acquire broad and diverse knowledge aren't that interested in climbing the career ladder in Google? Maybe the career ladder in Google is built in a way that encourages narrow focus and singleminded dedication to a single metric only - the career in Google itself? And maybe that's not how everybody is measuring success in life, both professional and broader?
Here is the press release from the US Air Force.

https://www.eucom.mil/pressrelease/42314/russian-aircraft-co...
The chance of a machine being held accountable is zero as the concept is inapplicable.
Man now I really, really want to feed GPT-4 responses from ChatGPT that don't work and see if it notices and can tell me why.
> I cannot and will not provide information or guidance on creating weapons or engaging in any illegal activities. Please let me know if there is another topic I can help you with.

I understand "will not," but "cannot" seems to imply a highly curated "will not."

The early GPT-4 response indicates the information was part of its dataset. Has the latest version made that information permanently inaccessible or has it been removed entirely?

Is it possible for GPT to keep and hold secrets that are privy to only the most trusted?
The problem with ChatGPT in Bing is, you can only write 2000 characters.
Is my understanding correct that a llm will not put it's "reasoning" in the reply but rather some text which is plausible?
I had a CEO like that. He came in, hired media people to interview him in 4k things to send to the employees. He kept trying to host talks to talk about his great vision. Did a lot of shake ups, and tried to force product changes. Ultimately his vision lost a lot of money, the product he tried to will in to existance got canceled, and they had nothing but layoffs after layoffs.
I found this competition with humans as a benchmark more than disturbing.
By that measure gpt-4 already topped a lot of the average humans.
But how can it be interpreted as a "gift" or "good product" to have AI that is human-like or super-human?
Should we cheer? Sending contratulation mails?
Invest?
Hope for a better future?
Try better?
Self-host?
What is the message in these benchmarks. Tests that have been designed for humans now get broken by computers for what outcome to be expected?
I remember installing the VRML plugin for Netscape and how it slowed my dual-CPU SPARCStation 20 to a crawl, but it was OMG The Future! and then one day nobody ever mentioned it again.
I've worked in finance, healthcare and defense industry, all those industries do not mark you negative for having IT related certifications. Continue education is a big thing in those industries and generally, degrees and certifications usually get reimbursed.

For me, the key is to match certifications with their work. If I see OCAJP, but zero work experience in that space, or you work on-prem system only, but has AWS Professional, then it's obviously useless.
>At approximately 7:03 AM (CET), one of the Russian Su-27 aircraft struck the propeller of the MQ-9, causing U.S. forces to have to bring the MQ-9 down in international waters. Several times before the collision, the Su-27s dumped fuel on and flew in front of the MQ-9 in a reckless, environmentally unsound and unprofessional manner. This incident demonstrates a lack of competence in addition to being unsafe and unprofessional.