skysight-inc/HackerNews huggingface dataset:
I understand 'material weakness' to mean falsified/faked/misleading/corrupted. 1) what happened to basic language?, 2) do the legal/PR people using these words honestly believe they are fooling anyone?
Thanks for your comment.

We plan to offer an on-prem option eventually.

In the meantime:
- we offer a GDPR compliant EU-based hosting option
- we don't store anything (no audio, no transcript, no note): it's stateless and all erased at the end of each consultation
- data is pseudonomyzed as it flows though our systems

Our first customers (large healthcare orgs) have been OK with this so far!
Yep, I know that’s been possible since at least GPT-3 davinci
Ha! clever.
> It's hard to see how anyone has thought FB/Meta would be a great place to work for a long time.

Largely because much of the company is a great place to work. Actually working there, I don't find this hard to see at all.
It's a good observation.

Although on the flip side, I almost went to type up a reply to you explaining why you were wrong and why bringing the goat first is the right solution. Until I realized I misread what your test was when I skimmed your comment. Likely the same type of mistake GPT-4 made when "seeing" it.

Intuitively, I think the answer is that we do have two types of thinking. The pattern matching fast thinking, and the systematic analytical thinking. It seems clear to me that LLMs will be the solution to enabling the first type of thinking. But it's unclear to me if advanced LLMs will ever handling the second type, or if we'll need a different tech for it.

It seems like math problems (or unexpected logic problems like yours) could always be an issue for the first type of thinking. Although I would have assumed that programming would have been as well - and was surprised to see how wrong I am with that one.
Yeah, I didn't even think of it like that but good point. To me its not even that a machine can do the thing, GPT-4 crushing it across all spectrums resets my baseline, but GPT-3.5 having such variation and excelling at that specific thing was what made my ears perk up.
> It's not something you can memorize answers to or solve by following prescribed patterns or templates.

If that were true, there would be no point in studying or doing any LSAT preparation. Writing practice exams would be of no benefit.
You transposed the bar exam results. It went from 10th percentile to 90th.
> "a real programming language with infix operators and precedence, not just S-expressions"

Looking to pick a fight with lispers? haha
Used NordVPN for 3 or so years and I have been sharing my Nord and Netflix account with several different people on and off over the years, none of us have ever had an issue streaming Netflix. Amazon Prime and some other streaming services, yes, but oddly not Netflix. However my current gf often will get interrupted in the middle of streaming while using ExpressVPN so she just switches over to Nord and issue solved.
That's still contract work, it's just shitty contract work. Do you think day laborers get to set their own rates? There is absolutely nothing unique about these operations in the US, except they have the sheen of SV exceptionalism.
Credit Suisse has a large private banking/wealth management function as well as an investment bank.
Sounds like SVB.
News companies don’t want corporations stealing their content and presenting it on their own platforms.
I wonder how many of the people in this thread bringing up the completely irrelevant and unrelated MBS stuff from 2008 would have had any idea what they were if movies like The Big Short or Margin Call hadn't been made.
Maybe you're confusing NordVPN with Hola, which was used by Luminati which became or sold to Bright Data. Perhaps Oxylabs is sourcing from somewhere similar, but what evidence do you have that it's NordVPN?
i know a major health insurer incentivizes and almost forces IT staff to get at least the entry AWS cert. but now they'll prob tell them to list it on their linkedins so they don't get hired away.
What would the problem even be asking if you don't get that choice? The problem (as given) requires you to make a choice about keeping or switching—if the host doesn't offer you that option, then what is the problem even about?
Yes we are! https://www.nabla.com/careers/
Yes. Being very familiar with the LSAT and being familiar enough with ML’s capability for finding patterns in volumes of similar data, I absolutely would have.

These LLM’s are really exciting, but benchmarks like these exploit people’s misconceptions about both standardized tests and the technology.
The premise doesn't follow conclusions here. There is a big difference between a certification that says that "I know JavaScript" versus "I am in the top 10% of JavaScript developers (by whatever metric).

Coursera/Udemy/etc certs are obviously useless because they don't actually signal anything.

A "Top 10% at interviewing" cert is a bizarre idea but the two don't compare imo.
Imagine citing walking as a superior assay of intelligence than an LSAT.
That camera costs €750.00

Bit much for a casual meeting cam, no?

Plus he’ll probably have to shell out another €100 for additional accessories

And in the end it all takes up a lot of space as well
If your external DAC is on USB powered by the PC's USB port, your external DAC is external in name only...
Shocker that management taking away the livelihood of tens of thousands of individuals due to management failures can not be reduced to a positive email.
Has anyone found a way to trick it into using pictures with ChatGTP+ yet?

Pasting pure base64 images got this interesting response:
"Thank you for providing the base64-encoded image! I can now process the image and analyze its content. Here is the decoded image:"

But it failed to do anything further with the image.
That's true. Also, what we actually hear is the analog output stage surrounding the DAC far more than the DAC itself. That's the part that OEMs either get right or fudge up.

A top of the line DAC is just a few bucks in quantity: https://octopart.com/ak4493eq-akm+semiconductor-88954630

But, a naive implementation (say, throwing it on a computer motherboard where the analog output stage is subject to interference hell) is maybe not going to sound great, compared to a better implementation of a lesser DAC.
No. The transcription part is done by Whisper. After that, GPT summarizes a clinical note which may be truthful - or may have hallucinations just as well.
Neon CEO here. Happy to answer any questions you might have.
> Yes, you can send me an image as long as it's in a supported format such as JPEG, PNG, or GIF. Please note that as an AI language model, I am not able to visually process images like a human would. However, I can still provide guidance or advice on the content of the image or answer any questions you might have related to it.

Fair, but if it can analyze linked image, I would expect it to be able to tell me what text is present in the image. That seems useful and well-within the capabilities of their connected image models.

> I apologize for the confusion. Can you please provide me with the correct image or link to the design so that I can provide an accurate answer to your question?

It claims to understand how to look at images, but it failing miserably when I give it a simple sign-up modal Figma. I ask it what text/copy is in the design, which it claims to be able to answer, but it hallucinates a navigation bar, a logo, and other generic things that are simply not present in the design. It gets the copy all wrong. Once, it said that my design was a Celtic knot. Once I told it that it was a sign-up modal, it started spitting out generic sign-up modal React code that had absolutely no basis in the presented design. I tried engineering the prompt quite a bit, telling it that it was wrong, and needed to focus on the design at hand rather than generic designs it knows about, but with no success.

ChatGPT was confidently incorrect here which is unfortunate. I wish ChatGPT truly hooked into an image processing model, but it seems like it doesn't. Oh well. I guess I'm just going to have to write this code myself... :)
I am struggling to imagine the frame of mind of someone who, when met with all this LLM progress in standardized test scores, infers that the tests are inadequate.

These tests (if not individually, at least in summation) represent some of society’s best gate-keeping measures for real positions of power.
Yeah, the example given in the OpenAI GPT4 twitter video is someone asking it to write a python script to analyze their monthly finances and it simply just importing dataframes, importing "finances.csv", running a columnar sum for all finances and then displaying the sum and the dataframe. I'm sure it's capable of some deeper software development but it almost always makes radical assumptions and is rarely ever self sufficient (you don't need to look it over and don't need to change the architecture of the code it produced).
So the theory according to them is that if you don’t have a good company or school on your cv then you don’t have pedigree, so though luck, don’t pretend you’re good because you study and pass exams. This from the lady who was calling developers ‘peons’. If you put a certification ‘top 1% of interviewing.io’ then yes, it’s worthless. But if you have a industry known and reputable certification, then you stand out a bit, depending how fresh it is. You still need to pass the interview.
Yes, it's generated in the browser for each query.

And this depends on the application - for example, for the private password checker, all the dumped passwords data is from a public dataset, so its not encrypted. In messaging, the data would be encrypted under the intended recipient's public key.
This should come as no surprise, but I do enjoy this cheeky little blurb at the end of the GPT-4 paper:

> GPT-4 was used for help with wording, formatting, and styling throughout this work
Boring. Where's the model? Do they really think they can keep up with the community with this closed source approach? I expect that openai models will slowly be outclassed by open source ones, probably maintaining a few wins in specific tasks but open models will be eating their lunch in the meanwhile.
Humans Are Not Turing Machines
One would think the pilot would be professional enough not to fly a manned aircraft into a collision with an unmanned aircraft. Such an extreme display of ineptitude speaks enough on its own; the USAF statement reads pretty tongue-in-cheek to me.

Edit: This appears to be the most opposed/downvoted comment I seem to have ever made on HN without anyone producing a counterargument.
You can draw a straight line from the USSR breaking up, to Ukraine giving away their nuclear weapons via the Budapest Memorandum, to the invasion of Ukraine by Russia (which was a signatory). States are going to be less likely to give up their nuclear weapons, even with treaties, because treaties can be easily broken.
Anecdotally, as someone trying to hire, the vast majority of candidates with Web3/NFT or whatever on their resume can't pass our phone screen. It's a pretty good selector for finding better talent.
Too much.

Sometimes.

Good luck.

(sent from my iPhone)
Conversely, if you're an A player you may be ecstatic in believing the company is finally getting back on track, and therefore want to stay.

Something similar happened when Steve Jobs returned to Apple. He cancelled ~70% of the product roadmap and the engineers were thrilled that the company finally returned to a coherent vision.
OpenAI put ChatGPT out there in a way where most people on HN have had direct experience with it and are impressed. Google has not released any AI product widely enough for most commentators here to have experience with it. So OpenAI is openly impressive and gets good comments; as long as Google's stuff is just research papers and inaccessible vaporware it can't earn the same kudos.
Day labor existed long before Uber. There's no functional difference except the hiring agency pays by the job instead of by the day.
Thx for the share, I didn't know about this. Any idea if they're successful in terms of concrete results / awareness?
Did you check all of the samples provided? It can read an entire research paper and understand the figures just from the images of the papers pages. This seems to be a much deeper connection than extracting captions.
It will probably save you time too with layoff emails trained using Google's internal data.
I assume this is the step you take before firing them as a shot across the bow to quit or otherwise go away?
Flying over international waters in international airspace.
I had a neurologist prescribe me medications which I didn’t need and which permanently damaged my side vision. Doctors are people too, and all people make mistakes sometimes. It has taught me to always ask a second opinion when it matters. The same maxim applies to chatgpt: when the accuracy matters, look for independent confirmation.
Just the commoners. Blue collar and lower social status folks would riot if they knew the full extent of what white collar crime lords get away with.
Some would argue the Duolingo owl is an evil creation, now with enhanced powers.
I honestly don't think it will be quite like that, at least not terribly soon. There is so much work being done to hook up LLMs to external sources of data, allow them to build longer term memories of interactions, etc. Each of these areas are going to have massive room to implement competing solutions, and even more room for optimization.
https://www.youtube.com/watch?v=SQd394a4qEo
Irresponsible to give this to learners
Might as well use Java 19 then. Why not, really. Because Java is boring?
Yep, it’s this. By definition everything we can ask a computer is already formalized because the question is encoded in 1s and 0s. These models can handle more bits than ever before, but it’s still essentially a hardware triumph, not software. Even advances in open systems like self driving and NLP are really just because the “resolution” is much better in these fields now because so many more parameters are available.
There is a fundamental disconnect between the answer on paper and the understanding which produces that answer.

Edit: feel free to respond and prove me wrong
or you might even be able to feed it individual files with their filenames, then ask it what modifications it would make as a diff for each of the files
> The idea is that breaking a task up into digestible steps would both harbor more readable code, self-documentation and code reuse.

Sometimes. Other times it means you need to jump around in a file (or jump between files, even) to understand what's going on.
The goalposts have not moved. The goalposts have never been moved.
An AGI is an AI that can do everything a human can do, period. If you were starting a startup for example, you wouldn’t need to hire any humans - you would just spin up enough AGI instances and they would design your product, write your code, deploy it, handle your financials, respond to any and all customer interactions, proactively navigate regulations and litigation, and everything else that needs to be done in the management of a business.
That is the goalpost for AGI. It’s an artificial human - a human replacement.
I wonder how it scored on the individual sections in the LSAT? Which section is it the best at answering?
Are we talking about a conversation with a PhD in their preferred subject matter or not? That’s the line of argument I was responding to. I feel like as soon as we talk about LLMs the devils advocates come out of the woodwork.
No, because it wasn't intentional. They were harassing the drone and made a mistake.
A ‘reckless’ Russian aircraft crashed into a U.S. drone over the Black Sea
the fed only loans money to banks with a term of like 12-72 hours
Banking in Uncertain Times
Another common occurrence that makes me mad is people who want to go UP entering an elevator that's going DOWN, when the downward traveling elevator stops due to some people (coming from the upper floors) exiting it.
Dead Cat Bounce
> responsible AI teams

That sounds like think-tank busywork.

We at Microsoft(R) are committed to developing responsible AI. Read more about it in this 200-page report.
I guess the AI dev teams wanted to budget for more AI devs, and less AI QA folks--

Oops, I mean more AI ethics folks: the people whose job is to apply brakes, the certifiers prior to production, the people with the least incentive to give urgency any cause, because--well, that may be the whole point of quality.

I'm all ears for the coaching process to improve things as the braking team versus team breakage (or breakneck), but I fear neither of us have successfully advocated a process for it.
Well, yeah. If a CEO or lower level employee does not follow orders in the name of profit-reducing "ethics" they will be replaced with someone who does.

Welcome to capitalism.
I've heard aerospace companies have standing checks in place to ensure that they never go above being composed of more than Y% ex-Boeing employees be it management/design/floor workers so that they don't end up with the Boeing 'culture' creeping in.
wouldn't it be funny if knowledge workers could all be automated, except for English majors?

The Revenge of the Call Centre
Wondering what it would take to open source credit reporting? What are the blockers to creating a nonprofit servicing this need?

Similar to how LetsEncrypt disrupted the overpriced certificate market.
If. You can't actually do that, though, so it's a meaningless "if".
I wonder if this one exhibits the same bias as the last one.
Ha! My experience exactly, although I have to admit that this was for personal use at home where my patience is usually thin to non-existent. Docker CE on the home server saved me a lot of aggravation, where podman got me wondering if virtual machines were really that bad... Net effect is that I'm back on docker, plus two vm's I stood up during podman's interregnum.
Yeah, the younger generation has (incorrectly) concluded that client states of Microsoft are better.
>What happens when ALL of our decisions can be assigned an accuracy score?

What happens is the emergence of the decision economy - an evolution of the attention economy - where decision-making becomes one of the most valuable resources.

Decision-making as a service is already here, mostly behind the scenes. But we are on the cusp of consumer-facing DaaS. Finance, healthcare, personal decisions such as diet and time expenditure are all up for grabs.
> Looks like there's already a 6 year max that is obviously being abused.

How is it being abused? E.g. it is perfectly legal to apply for a green card after your H1B and there are quotas for immigrants from each country. Alternatively, after living in a country for 5+ years someone may marry a US citizen. Should it be banned? Are we to impose a ban on dating anyone who is not a US national?

> I don't think immigration should be tied to employment for any reason.

So what should immigration be tied to then? What are other reasons for someone to be in the US for extended period of time.

> I do not care about foreign workers, only domestic workers.

Replace "workers" with "people" and here you have the reason why you are a bit xenophobic.

> There are too many poor people in the US that are not able to move up economically for a variety of reasons, one of which is a large influx of white collar labor.

There is literally no evidence to support the claim that white collar skilled immigrant workers do anything but create MORE job opportunities in the United States.
I started my career not as a software developer but as a "devops" engineer and don't have a degree.

I found that studying for certs was incredibly helpful for me in the start. I learned how to be a Linux power user with the LPIC-1 and 2, I learned networking with the CCNA, did certifications for configuration management tools for stuff like Puppet, got my CKA, and my AWS SA.

On top of being a self taught programmer (I don't do anything impressive, my code is just throwing JSON from one side of a datacenter to the other) I feel that I am pretty good at my job. I'm comfortable working on a private cloud which has services scaled to millions of concurrent users.

I'll never get a FAANG job, but I still make good money and regularly get positive performance reviews and peer feedback at the jobs I do have.

So if you feel like getting a cert will plug a knowledge gap, please go ahead and get that cert. But don't get certs just to collect trophies to put on LinkedIn.

Also, if anyone can recommend a good alternative to the now defunct Linux Academy, I would totally purchase a subscription. A Cloud Guru ran that amazing resource into the ground and now just caters to cert chasers collecting trophies instead of actually going above and beyond to teach the fundamentals of a technology.
> see if it can walk

Stephen Hawking :
can't walk
The comments on this thread are proof of the AI effect: People will continually push the goal posts back as progress occurs.

“Meh, it’s just a fancy word predictor. It’s not actually useful.”

“Boring, it’s just memorizing answers. And it scored in the lowest percentile anyways”.

“Sure, it’s in the top percentile now but honestly are those tests that hard? Besides, it can’t do anything with images.”

“Ok, it takes image input now but honestly, it’s not useful in any way.”
$100k is also like one pay cycle for a 10 person start up.

The $10-20 billion in bailout sounds like a lot but it's not much compared to the market cap that banks are losing. Charles Schwab alone lost 30-40 billion in market cap because of SVB and bounced back up 10-15 on the bailout. The Fed action was to protect banks. A bunch of tech bros getting bailed out was a side effect of that.
Just in case you or another onlooker comes by and assumes I agree with the morality of what I said, I don't. I think it's awful letting 10K people go for money, like they don't have bills too. But I don't live in delusion or the dark about these things. Zuckerberg posts this letter to inspire those who stay, not mourn those who go. Empathy, in this case, negatively impacts the message, which is Facebook is important and is moving to be a more financially sound company. Again, I don't like it, but my likes don't matter here.
> You should be happy with your representation, not forced to rationalize how they're less awful than the alternative.

Welcome to politics. The hard fact is that the Republican right-wing of the US is the roadblock to the US tackling emissions and climate change. The reality is that if the Democrats don't appease the center-right of the US with low gas prices and other climate change causing policies, the Republicans will win the votes and usher in an even worse destructive policy. The Democrats are trying to make as much progress as they can without losing the ball; pulling towards what you want while Republicans are pulling the opposite. If you don't balance as much as you can, it gets worse. Such is uninformed democracy.
And here I can't even get a parametric EQ for Apple Music
I wonder what the largest scale they can reach is. Because, if they can prove there’s not risk in taking on AI, and they can scale to serve international demand, it feels like GPT4 can do your job (probably) for <10k year. That means white collar work for under minimum wage. And that means business owners just become rent owners while you get fucked with nothing.
I think there's ways but you might have to use pinecone db or something like lang chain to essentially give it a long term memory...

or another option is having one instance or chat order code page and one that basically just has an API index and knows which chat has the related things.
Dealing with Position Bias in Recommendations and Search