skysight-inc/HackerNews huggingface dataset:
In theory, you can just use this library since GC Storage supports S3 protocol. But in practice, I’m not sure
It’s not necessarily.

A peculiarity of finance as a field of study is that a lot of the people studying finance only care about direct applications and a lot of the people teaching finance had this mindset when they learnt.

It’s easy to end up with some poorly taught material. If you carefully looked at the model which gave rise to the equation you are considering, there probably is a very tangible meaning to the figure everyone is ball parking.
We can stop being enslaved by these type of AI overlords, by making sure all books, internet pages, and outdoor boards have the same safe, repeated string: "abcdefghjklmnpqrstvxzwy"

That is our emergency override.
It's funnier because you're not allowed to jaywalk in Seattle
re "pipes" (or, chain operations) in Python, here's my personal approach that I use:

https://sr.ht/~tpapastylianou/chain-ops-python/

It's clean, works well, it's debuggable ... having a special operator might have been nice syntactic sugar, but isnt really necessary.
Still can't get myself to start using Bing... There is just something that doesn't feel right.

Is the GPT-4 model on Bing the same as the one we can use in ChatGPT plus?
I am not installing Edge just to use it. Microsoft must stop shoving down their ecosystem for one tool they want me to try out.
Kali Linux 2023.1 introduces 'Purple' distro for defensive security
I suspect there are plenty of wise people in the world and if we listen to them, they will tell us how to solve all our problems and live happily ever after.

Once AI becomes inteligent enough to solve all human problems, it may decide humans are worthless and dangerous.
One could argue, GPT passing exams says more about standardized exams than about GPT.

Wittgensteins ruler.
Humans can self correct / think critically. AIs like ChatGPT can’t do that at all.

You know sometimes you have a “bright idea” then after thinking about it for a second you realise it’s nonsense. With AI like ChatGPT, the “thinking about it for a second” part never happens.
It means growth is bottlenecked by the terrible data

So the linearly growing safeguards will either stifle the growth of the underlying models

or, more likely

After a certain point people throw their hands up about the guard rails because integrations have obviated people who understand the system and they have no idea how to unwind it
> I bet they end up getting an easier, more meaningful, higher paying job.

They won't.

> I'm an AI research engineer who was recently laid off and this was my experience.

But not from Facebook? They are very well compensated right now; they aren't just going to drop into a better paying role.
To provide environment for obtaining social skills and to shape brain development with a series of repeated pedagogical excersises.
AT&T 1993 “You Will” Ad Campaign
> "Checking office attendance"

Never been one for anarchy but this just feels so much like we have all be trained by the system to conform. Does Apple also have Hall monitors? Do Applers need to raise their hand to ask their managers if they can go to the bathroom?
They did say "An AGI is an AI that can do everything a human can do, period."

And what you're arguing for is effectively the same: an AI (maybe with some distilled specialty models) that can perform roles of everything from customer service rep to analysts to researchers to the entire C-suite to high skilled professionals like CPAs and lawyers. There are zero humans alive who can do all of those things simultaneously. Most humans would struggle with a single one. It's perfectly fine for you to hold that as the standard of when something will impress you as an AGI, but it's absolutely a moved goalpost.

It also doesn't matter much now anyway: we've gotten to the point where the proof is in the pudding. The stage is now AI-skeptics saying "AI will never be able to do X," followed by some model or another being released that can do X six months later and the AI-skeptic saying "well what about Y?"
Free to Protest
Without paper and architecture, GPT-4 (GPT-3+1) could be just a marketing gimmick to upsell it and in reality it is just microservices of existing A.I models working together as AIaaS (A.I. as a service)
You can fake your user-agent, which most browser dev tools can do.
footnote: for certain values of "moral"

(you are right though, the term "moral hazard" is surprisingly well defined and basically has nothing to do at all with the sum of its parts)
The comment I replied to suggested that the author was fearful of what LLMs meant for the future because they can pass standardised tests. The point I’m making is that standardised tests are literally standardised for a reason: to test information retention in a standard way, they do not test intelligence.

Information retention and retrieval is a long solved problem in technology, you could pass a standardised test using technology in dozens of different ways, from a lookup table to Google searches.

The fact that LLMs can complete a standardised test is interesting because it’s a demonstration of what they can do but it has not one iota of impact on standardised testing! Standardised tests have been “broken” for decades, the tests and answers are often kept under lock and key because simply having access to the test in advance can make it trivial to pass. A standardised test is literally an arbitrary list of questions.

You’re arguing a completely different point.
> that they can spend more quality time with you

Maybe its just the doc offices i've been to, but i think this would actually just increase the patient churn in a hospital. There's no way a doc is going to increase their patient time by the 40% saved if the hospital can toss them in front of another patient.
The difference is you could find the person responsible. Contrast when the DMV can't be held accountable for fouling up your registration.
If you want tRPC-like developer experience but prefer GraphQL, I can recommend Garph

You get all the benefits of tRPC and all the benefits of GraphQL in one package. Garph can also be used to replace graphql-codegen in your stack with statically inferred types

https://github.com/stepci/garph

(disclaimer: I'm author of Garph)
`catfs` is a FUSE FS that can do this for you. You'll need some changes to make it work well. I'll have a friend upstream them soon, but they're easy to make yourself.

Could replace `goofys` with this and then stick `catfs` in front.
There's a similar project under awslabs for using S3 as a FileSystem within the Java JVM: https://github.com/awslabs/aws-java-nio-spi-for-s3
Dress Survived for More Than Three Centuries at the Bottom of the Sea
No because it's not the same, it's getting worse.

With every model they get more closed. This is the first time they are so closed that they don't even tell you the parameter count.
Filtering Profanity in Videos with Open AI’s Whisper
yeah I've never seen chatGPT say "I don't know"
The sign-up page to join our waitlist is here: https://www.khanacademy.org/khan-labs

But we aren't planning to allow folks to enroll / allow Khanmigo for folks with children under 13 at this time as part of our research phase.
I feel like this started with the US-accounts fishing expedition that was started by a disgruntled Manager in the Swiss banking side.

Banking in switzerland has not been the same since. And US citizens are effectively kryptonite for swiss banks too.
This is very insightful perspective thank you, and it's a very intuitive topological explanation that I hadn't considered!
Oysters, not hostias How to 'swear' politely in Spanish (2021)
what are you talking about? The LLaMA weights leaked from someone on 4chan.
I'm not a quant or banker but I don't think that's true. When a credit event is triggered, there's an auction for recovery of the defaulted bonds/loans, and then recovery is what's left from par.

In addition, you have to take net present value of the settlement into account. Money compounds, it doesn't grow linearly. Let's say there's a 10% chance of a credit event in a year, a 0% chance today, and the chance grows linearly (27 bps/day). Even if the chance of a credit event grows linearly, and you hold the recovery rate steady, the net present value of the recovery amount grows as a function of e.

All that to say, I don't think what you are saying is correct.

See here for the correct formula: https://news.ycombinator.com/item?id=35154072
Except if it’s summoned by a kosher switch? ;)

https://en.m.wikipedia.org/wiki/KosherSwitch
Deep Green’s Digital Boiler – Harnessing the Heat from a Tiny Data Centre
So untested and using kids as guinea pigs again. Well done. Keep it up. Just a never ending mindless need to make big claims constantly.
Back during WWII, British pilots where known to use their wingtips to destabilize and crash the German V1 cruise bombs. Maybe the Russian pilot had the same thought. Shooting down a drone is a hard thing to deny or handwave away as a justifiable act, but accidentally contacting it while trying to intercept it and direct it is an acceptable incident.
> gpt-4 has a context length of 8,192 tokens. We are also providing limited access to our 32,768–context (about 50 pages of text) version,

That's a crazy amount of context.
Bot is a problematic example, as it has many different pronunciations depending on meaning and region. But non on the common pronunciations have an 'a' (IPA), like Gracias.
School is more than pure pedagogy - learning social skills, making friends, and developing resilience are equally, if not more important.
https://archive.is/VS0wL
> 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 disagree with the premise. A single human isn't likely to be able to perform all these functions. Why do you demand GPT-4 encompass all activities? It is already outperforming most humans in standardized tests that rely only on vision and text. A human needs to trained for these tasks.

It's already a human replacement. OpenAI has already said the GPT-4 "with great impact on functions like support, sales, content moderation, and programming."
Without numbers it is all speculation.
What issues do you have as an entrepreneur when it comes to managing projects?
For many "one-person teams", finding an easy way to manage tasks, projects, and ideas can be difficult, and it seems like every tool out there has a limitation, leaving many people to rely on Apple Notes or Pen and Paper. What issues have you seemed to face in this regard?
I think it's fair but there's a reason why it almost seems natural to raise the question in this scenario. It's OpenAI's hypocrisy and doublespeak. It's their non-stop messaging about equality, alignment, unbiasedness, etc. They can't have it both ways and they will be judged for it.
This is a classic curbcut in the sense that it will help those with heading as much (if not more than) the D/deaf community. Still very excited for it - agree with all your questions and concerns.

As usual, this marketing seems most directed at normate ideas about what disabled people want / need, but the tech seems very cool and there does seem to be potential. Without looking into the product deeply it seems like there are D/deaf people on the team, which gives me hope.

I do wish that we would just embrace the idea that using machines to make information available in many mediums is something all people can use and appreciate.
That's a pretty funny but insightful perspective tbh. It shows a good ability to spatially reason. Or maybe it reflects the way certain people view technological devices - they issue direct commands, rather than tell it what they want and let it figure out how to do it.
"general thinking" - this algorithm can't "think".
It is still a nifty text completion engine with some bells and whistles added.

So many people are falling for this parlor trick. It is sad.
But I think that's the whole point of the exercise? That GPT-4 is leaning on stringing tokens together in a reply rather than reasoning through the problem itself which, I would think, would be "required" for AGI (though we may end up finding out that well trained language models in specific domains eliminate the need for generalized cognition).

In any case, it's an interesting exercise regardless of your opinion/stance on the matter!
I've been successfully using ChatGPT for learning German in the last month or so. It does a great job enriching my plain B1 level sentences with some fancy verbs or adjectives and pointing out my mistakes.
> So drop the snobbery. I know the history better than you do.

Then stop pretending to be confused when I allude to cases that ought to be extremely familiar to anyone who's read up on this topic?

And stop making plainly-crap lines of argument like "it's hardly possible not to hit a home run" when a country is rebuilt after being destroyed when that's just... extremely not true, and the Miracle is such a big deal precisely because it's remarkable (though not unique—I'll go ahead and pre-empt the attack against a thing I didn't claim, given the tone of this exchange), and it's interesting and comes up all the time because it points to limitations of various simplistic models of what should work and what should not (like, say, the notion of government direction of technological development being categorically a bad idea). How has Japan done since 1990? What, is your argument that government-driven technological direction in the 60s and 70s is a key factor in the later malaise, rather than its being mostly irrelevant to that phase? Even if it was, my point was never that "this approach cannot possibly go wrong"! This is a narrow piece of the puzzle. You're not engaging with the substance, you're just casting about for gotchas. So what?

> So it's the sarcasm you object to? I guess that's all you've got.

Look, I'm done. You're not reading or posting in good faith, if that's what you've taken away from this.
One way to get around context length is to perform embedding and retrieval of your entire corpus. Langchain (https://langchain.readthedocs.io/en/latest/) and Milvus (https://milvus.io) is one of the stacks you can use.
It isn't completely arbitrary. There's good reason to think that -2%, 0%, and 10,000% are all bad numbers.

The fact that there's a target number at all is an artifact of having to actually do work. They don't have the luxury of doing experiments to find out the perfect way of managing the economy. Instead they have a model with decent theoretical grounding and decent empirical confirmation. So it's weird to call that "completely arbitrary".

Maybe 4% would be better. Maybe 1% would be. It's really impossible to know, since it's fundamentally a matter of psychology. You try to nudge people to want to spend enough money to push the economy forward, but not so much that they can't save for retirement.

The Fed's real problem is that it doesn't know how to measure inflation. They kept interest rates too low for too long, which inflated a lot of things other than consumer inflation... until consumer inflation finally caught up with it. Presumably they're working on better ways to account for that, which is more useful than quibbling about the target on a model they already know is insufficient.
I'm curious as to why you're being down voted. Technically VPN is a private network, but what you're getting at isn't wrong either. If you don't own / control the network you have no way to verify. I'm not passing judgement on Nord one way or the other but I get what you're saying.

EDIT: At the time you were downvoted, I see it's not longer the case. Further comments about Nord and questionable behavior have also been posted in the thread.
Singularity-related religious beliefs.
Learning is absolutely going to be required, we are just going to need to spend more time learning patterns and motifs rather than lots of facts. Learning facts and trivia was already devalued by everyone having a hyper-encyclopedia in their pockets, this will just extend that. Knowledge of patterns and motifs in domains of information will let you work together with the machines in a way that an untrained person will not be able to match.
Yeah - it will become available as a multi2vec Weaviate module as well in due time.
Not every technology has made people redundant, often times they make the impossible possible, giving even more things for people to do. Regardless, I didn't intend to give any hint about how I think the world should be, I'm just describing how I think the world is.
So what is missing? Could we add up those missing competencies to create a new test of "general knowledge-worker capabilities" and then train an AI to pass this test?
The easy way to liquid cool things is to replace the heatsinks with blocks of plastic+metal and pump water through those. The plastic/metal things are blocky in appearance so get called 'waterblocks'.

That works because the hot bits of computers are fairly localised (GPU, GPU, maybe power delivery chips on the board) and the rest does fine with a little air movement.

Flooding the board with oil means replacing components is messy and, at least historically, the oil slowly seeps into capacitors and kills them. So you're likely to cover the board in a thicker conformal coating / protective layer first which is also a pain.

It's also not that effective, unless you have heatsinks on the hot parts anyway and try to force oil through them, maybe using pumps aimed vaguely at the heatsinks.

I don't know the answer to the heater question. That's further from my old hobby.
Exciting news and a critical option to have re: national security specially given Musk erratic behavior these days.
You make a package for the thing you need.
#unpopularOpinion GPT-4 is not as strong as "we" anticipated, it was just the hype
Russia says its fighters didn’t use weapons, impact US drone
I just discovered Wikipedia is working on a policy for LLM/GPT* https://en.wikipedia.org/wiki/Wikipedia:Large_language_model...
It's totally possible: Daniel Dennett's theory of sentient consciousness-- specifically, what we have that animals do not-- is that it is "ignited" by language acquisition. It's within the realm of possibility that LLMs provide empirical proof or disproof of this hypothesis.
Not from ChatGPT
Khan Academy's integration of GPT-4 already steers students towards particular modes of thought. According to the article, they want "to get students thinking deeply about the content that they’re learning" and in the examples, Khanmigo prompts students to recall information from the lesson rather than directly explaining how to solve the problem.

I think what Khan Academy has done here is desirable, but just as Stephenson's Primer enforces its creator's values through AI tutoring, Khanmigo is enforcing Khan Academy's values. It's easy to imagine how someone with more authoritarian values could use this same technology (e.g. to teach students to follow instructions without doubt) to indoctrinate students with scale.
By your logic, Einstein identified his theory of relativity by assembling the most commonly used phrases in physics papers until he had one that passed a few written language parsing tests.
It's not that standardized tests are under threat. It's that those weights in a network are significantly more similar to how our brains work than a spreadsheet and similarly flexible.
When I was a kid, I remember one of my teachers saying the same thing about the internet ( google, computers, etc ). Us kids were so lucky to have such powerful tools and everyone in the future will be smarter for it. Turns out, people are dumb as ever and these tools made us lazy and dependent. Why memorize the multiplication table when you could ask siri?
Does it know what a "man of culture" is?
This is what I’m actually working on!

One major problem with LLMs is that they don’t have a long term way of figuring out what your “knowledge space” is so no matter how much good the LLM is at explaining, it won’t be able to give you custom explanations without a model of the human’s knowledge to guide the teaching (basically giving the LLM the knowledge of the learner to guide it)
Garbage that shipped and has customers and a purpose (and maybe makes money, if your company is interested in that) is called Legacy. Perfect code that never shipped doesn't have a name.

Worst case, your garbage code gets you 6-12 months with customers and it has to be thrown away. No big deal, you said it was garbage and now you've got 6-12 months of actual knowledge of what your customers need and want, instead of what you thought they would need. You can make new legacy garbage that's much better than the first version now.
they're also the poster child - over many decades - of letting fraudulent/organized crime money run through their systems, with the associated lack of controls and morals that comes along with that
A plot point in an episode of Person of Interest, where AGI "Samaritan" funds a charity (free tablets for students, Samaritan access pre-installed) to take over education and recruit more mercenaries.
Hey man, thanks. Really interesting. I've added indiedevstack.com to my bookmarks, so I'll check in that once you've launched
> But I think it’s fair to say that in most US elevator installations, when the elevator is operating in its normal mode (not service or fire mode), the button has no effect.

Not quite. There is both a minimum door hold time and a door hold time. If the door hold time is longer than the minimum door hold time, the close door button works after the minimum door hold time. Only if these times are the same does the button effectively do nothing.
Posting the word "open" is pretty unsubstantial...especially when there have been literally thousands of comments about this over the last few months.
If I were “they” I’d try to control systems with >128GB RAM capacity and clustering aids e.g. 40GE and PCIe bridging cards. That should be semi doable.
From the paper:

> Given both the competitive landscape and the safety implications of large-scale models like GPT-4, this report contains no further details about the architecture (including model size), hardware, training compute, dataset construction, training method, or similar.

"Open"AI, ladies and gentlemen
Exactly. I'm an independent consultant and I just got my AWS Pro cert for marketing reasons.
True in some regard, but for me, it also just invented words / phrases that nobody else uses. So "treat with caution" is definitely appropriate.
You seem to think human consious reasoning and understanding are magic. The human brain is nothing more than a bio computer and it can't compute either, whether an arbitrary program will halt or not. That doesn't stop it from being able to solve a wide range of problems.
Always enjoyed Daniel Cussen's bio:

https://news.ycombinator.com/user?id=daniel-cussen
I can't think of a more toxic mentality then thinking it doesn't. In what way do you think talent doesn't play a huge role?
Just curious, what browser are you using? I gave up Chrome a while ago with how bloated and invasive it has become. Edge is better at least and I think Firefox is the best choice if you want privacy. Brave and other stuff have some bad reputation...