skysight-inc/HackerNews huggingface dataset:
I thought I knew how bad it was, and then I saw Folding Idea's video on the post-crash meme stock phase here: https://www.youtube.com/watch?v=5pYeoZaoWrA

So, apparently a lot of the people who are still holding onto the stock have engaged in full-on apocalyptic cult insanity. They're under the delusion that the "Mother of All Short Squeezes" hasn't happened yet, and that when it will happen, it will be an absolute financial calamity, as literally all Gamestop stock will be held by "true" holders [1], who can therefore extort any price from the short sellers desperate to buy the stock back to cover the short squeeze, causing the price to hit millions of dollars per share, allowing the true holders comfortable retirement as billionaires.

It really is an apocalyptic cult mindset, people seeing themselves as the sufferers who will receive redemption in the imminent apocalypse as their (currently more successful foes) receive absolute punishment at the same time. Although even compared to most apocalyptic prophecies, this one is particularly far-fetched: the means of deliverance is extremely vague, with the closest hint of an idea is essentially that the Big Bad who is currently oppressing them will somehow turn around and reward them handsomely for their perseverance (usually stated with some amount of cognitive dissonance--you get the sense that the adherents don't really believe this, but they need to justify deliverance somehow and there's no better option than this).

[1] There's a belief that most of the shares are fake.
Or at least, the 51st percentile…

But I think you’re spot-on. If someone owns the stock, usually it’s because they think the company is worth more in the future than it is currently.

And you need to convince the majority of the shareholders to sell it to you now.

So you need to take into account their expected future value on holding, and give them a reasonable risk-adjusted premium for that expected future value of their shares.
> you'd think they'd figure it out.

Cost of sending spam: Effectively zero.

Cost of pissing off inactive user: Essentially zero.

Cost of convincing inactive user to come back: Positive.

Add in a bunch of other factors like some product manager twisting stats to make it look like they are getting users back even if they really aren't and you see why it happens.
It is quite nice how they keep giving premium features for free, after a while. I know openai is not open and all but damn, they do give some cool freebies.
Did they provide the limit rate for free user ?

Because I have the plus membership which is expensive (25$/month).

But if the limit is high enough (or my usage low enough), there is no point for paying that much money for me.
This didn't age well
I don't think it's a problem with how much capital hardware requires. Biotech startups require an order of magnitude more capital with tons more risk with regulatory approval yet the biotech VC industry is huge - the amount invested annually frequently exceeds all of tech VC. Most of the startups that go public do so with zero revenue, let alone profit, and everyone is perfectly fine to bankroll them through clinical trials even though they're all or nothing.

I think there's two problems with hardware: first the marginal profit per unit doesn't scale so to make more profit you have to sell more widgets. The same is mostly true for biotech but the profit margins on a drug are usually >95%, with a much higher ceiling, and are heavily recurring, often for the life of a patient. Since biotech customers are mostly insurance companies, the value of a drug is easy to calculate based on its quality of life improvements and past deals.

Second, success is very all or nothing for hardware companies. Each hardware startup will have a limited number of possible acquirers who specialize in their field so they either become profitable and go public or fail. On the other hand, failed tech companies get acquihired by the tech giants and pharmaceutical companies acquire tons of companies before they even finish clinical trials. Any startup that makes it past phase 3 trials has a 99% chance of getting acquired by a pharmaceutical company so the economics of investing are very enticing, despite the massive capital outlays.
It's just a high-quality generic female voice. I understand it's easy to read a lot into it when we've all wanted to get the "Her"-style AI for a while, but that's not it.

Source: I've listened to a lot of AI voice samples including many inspired by Scarlett's voice (we're adding an voice-controlled AI assistant to our software), and I can tell you that this sounded nothing like her :-)
Does anyone know how they're doing the audio part where Mark breaths too hard? Does his breathing get turned into all-caps text (AA EE OO) and that GPT4-o interprets that as him breathing too hard, or is there something more going on?
(I work at OpenAI.)

It's really how it works.
Hey there!

The free plan (default for all new users) is limited to 60 total minutes.

The Pro plan gives you unlimited time, transcription, and summarization.
Very impressed by the demo where it starts speaking French in error, then laughs with the user about the mistake. Such a natural recovery.
Not necessarily, there is a balance to be found. For example, there is no point sending thousands of mini-drones if a simple jammer can make them all fall out of the sky, or if they can't reach their target because their range is too limited, or because they are too slow and visible for a surprise attack.

Modern fighters are big and expensive because of their capabilities like speed, range, stealth, weaponry, counter-measures, radars, etc... And they are not just made to blow up stuff (we have missiles for that), they are also complete platforms for reconnaissance, communication, etc... And the pilot is not just there to control the plane, he is also an officer on the battlefield with all that implies regarding situation awareness and decision making.
Unless it learns that it can take over the government and print money to increase it's profits. Then it will literally turn the world into cold hard cash.
Are we?

The thread started out with:

> This doesn't discuss Internet forum software which allowed including "emojis" in text, via small predefined GIF images.

Which I claimed were not termed emoji at the time. Those were all called emoticons or smileys in that time frame. At least in my neck of the woods.
As I read it, the value is specifically aligned with "the number of milliseconds since midnight 1 Jan 1970 UTC, leap seconds excluded". (And they really must not have been considering the rubber seconds in UTC up to 1972!)

Consider a day ending in a positive leap second. Suppose that at 23:59:59.500...Z, the millisecond counter is at T − 500. By the start of the leap second (23:59:59.999...Z), the millisecond counter is at T. Then, at the end of the leap second (00:00:00.000...Z), the counter must be at T, since the leap second must excluded from the counter by definition. By 00:00:00.500...Z, it's at T + 500, and so on.

The question is, what is the value of the counter between 23:59:59.999...Z (when it is at T) and 00:00:00.000...Z (when it is at T), during the course of the leap second? The definition doesn't make this clear.
Spike Jonze should be flattered. The conversation mode is a straight copy of the OS in Her.
As is git. I think it's intentional
>The most impressive part is that the voice uses the right feelings and tonal language during the presentation.

Consequences of audio2audio (rather than audio >text text>audio). Being able to manipulate speech nearly as well as it manipulates text is something else. This will be a revelation for language learning amongst other things. And you can interrupt it freely now!
> We recognize that GPT-4o’s audio modalities present a variety of novel risks

> For example, at launch, audio outputs will be limited to a selection of preset voices and will abide by our existing safety policies.

I wonder if they’ll ever allow truly custom voices from audio samples.
"Scientists are saying the future is going to be far more futuristic than originally thought" - Krista Now
The price of 4o is 50% of GPT4-Turbo (and no mention of price change to gp4-turbo itself).

Given the competitive pressures I was expecting a much bigger price drop than that.

For non-multimodal uses, I don't think their API is at all competitive any more.
Seems like it was picking up on the audience reaction and stopping to listen.

To me the more troubling thing was the apparent hallucination (saying it sees the equation before he wrote it, commenting on an outfit when the camera was down, describing a table instead of his expression), but that might have just been latency awkwardness. Overall, the fast response is extremely impressive, as is the new emotional dimension of the voice.
Agree on hoping for an intelligence update, but I think it was clear from teasers that this was not gonna be GPT-5.

I'm not sure how fair it is to classify the new multimodal capabilities as just a gimmick though. I personally haven't integrated GPT-4 into my workflow that much and the latency and the fact I have to type a query out is a big reason why.
Universal real time translation is incredibly dope.

I hate video players without volume control.
FWIW they likely mean Fahrenheit.
I.e. 2.5 Celsius.
It can natively interpret voice now.
More discussion on official post: https://news.ycombinator.com/item?id=40345775
I havn't seen maps for bugs in general. But there are some maps the track specific bugs. Like I check for maps regarding ticks. They are getting farther and farther north.
jeez, that model really speaks a lot!
I hope there's a way to make it more straight to the point rather than radio-like.
Demographics are used pretty heavily in market research, etc. This could be used both in targeting ads to specific people, and also in providing aggregate data to business and marketing partners -- being able to say they have approximately x 18-24s is valuable to pitching partnerships, etc.
> I think this post is well intentioned but misses the point entirely.
>
> GOOS=darwin GOARCH=arm64 go build -ldflags="-X 'main.Version=v1.2.3'"
>
> Executing this with variables for os/arch/version is not straightforward in a makefile. You might argue that it's a flaw with the `go build` command, but replace go with cargo/dotnet/maven and you have the same problem.

This is pretty easy in Make, especially since GOOS and GOARCH are environment variables. One way to do it could look like this:

export GOOS ?= darwin
export GOARCH ?= arm64
VERSION ?= 0.0.0+$(shell git describe --dirty --always)

build:
$(if $(VERSION),,$(error VERSION was not set))
go build -ldflags="-X 'main.Version=v$(VERSION)'"

you could run it as:

$ make build (uses darwin/arm64/0.0.0+<git ref>)
$ make build GOOS=linux VERSION=1.0.0 (uses linux/arm64/1.0.0)
$ GOOS=templeos GOARCH=sparc make build VERSION=1.1.0 (uses templeos/sparc/1.1.0)
Optimal Pricing Strategies for GenAI/LLM Services?
But not all UUIDS are going into the same "pool". There is no problem if your GPU generates a collision with one of my database identifies, since I only care about my identifiers being unique in my system.

For comparison, before UUIDs most databases were using auto increment integers. That means nearly everyone had id 1, 2 etc in use. Still not a problem.
I could have said the same after your comment. Unless the linked manifesto had a hidden paragraph where they recommended killing safety regulations and consumer rights, as opposed to harmonising the creation of legal entities.
Cool, let me know where these backup planets are.
The different voices were incredible!

I'm dreaming of the possibilities of an audio-to-audio model for any sort of sound. I want to be able to do things like: "What's the tune I'm humming?" "Why is my car making this noise?" "Can you separate the speech from the instruments in this clip?" "Can you make the sound of a steel drum in a hailstorm?"
Really? If this was Apple it might make sense, for OpenAI it feels like a demo that's not particularly aligned with their core competency (a least by reputation) of building the most performant AI models. Or put another way, it says to me they're done building models and are now wading into territory where there are strong incumbents.

All the recent OpenAI talk had me concerned that the tech has peaked for now and that expectations are going to be reset.
What extension are you referring to? It wasn't anything that came with the computer.

The Amiga, and none of the other 16-bit systems had an assembler built in either. They had interpreted BASICs just like the 8-bit systems, except on disk instead of in ROM.
Clicking the "Try it on ChatGPT" link just takes me to GPT-4 chat window. Tried again in an incognito tab (supposing my account is the issue) and it just takes me to 3.5 chat. Anyone able to use it?
Weird visiting the page crashed my graphics driver using Firefox.
Recent Docker BuildKit Features You're Missing Out On
And Gemini.
Expansion has to answer one fundamental question: if you're likely to need more X tomorrow, why aren't you just buying it today?

The answer to this question almost has to be "because it will be cheaper to buy it tomorrow." However, GPUs bundle together RAM and compute. If RAM is likely to be cheaper tomorrow, isn't compute also probably going to be cheaper?

If both RAM and compute are likely cheaper tomorrow, then the calculus still probably points towards a wholesale replacement. Why not run/train models twice as quickly alongside the RAM upgrades?

> I strongly suspect the desire to keep buyers upgrading the whole card ($$$) every few years trumps this massively if you are a GPU vendor.

Remember as well that expandable RAM doesn't unlock higher-bandwidth interconnects. If you could take the card from five years ago and load it up with 80 GB of VRAM, you'd still not see the memory bandwidth of a newly-bought H100.

If instead you just need the VRAM and don't care much about bandwidth/latency, then it seems like you'd be better off using unified memory and having system RAM be the ultimate expansion.
For Python projects, I like to use Taskipy as the UX entry point. If any task itself is more than a one liner but doesn't need Python, I'll have it invoke a shell script from a mk folder. If any task itself requires an activated venv, I'll define it in a noxfile.

What it might look like in a pyproject.toml:

[tool.taskipy.tasks]
fmt = "nox -s fmt"
lock = "nox -s lock"
install = "if [ $VIRTUAL_ENV ]; then pip install -r local-requirements.txt; else printf '%s\n' 'Please activate a venv first'; return 1; fi"
test = "nox -s test test_without_toml typecheck -p 3.12"
docs = "nox -s render_readme render_api_docs"

For file generation tasks (the kind of stuff make is good at), I've been using Tup more and more. But recent versions aren't always packaged for distros, so I'm hoping it gets an asdf/mise plugin.
How We Used a Custom Enumerator to Fix a Production Problem
They are admitting[1] that the new model is the gpt2-chatbot that we have seen before[2]. As many highlighted there, the model is not an improvement like GPT3->GPT4. I tested a bunch of programming stuff and it was not that much better.

It's interesting that OpenAI is highlighting the Elo score instead of showing results for many many benchmarks that all models are stuck at 50-70% success.

[1] https://twitter.com/LiamFedus/status/1790064963966370209

[2] https://news.ycombinator.com/item?id=40199715
Big questions are (1) when is this going to be rolled out to paid users? (2) what is the remaining benefit of being a paid user if this is rolled out to free users? (3) Biggest concern is will this degrade the paid experience since GPT-4 interactions are already rate limited. Does OpenAI have the hardware to handle this?

Edit: according to @gdb this is coming in "weeks"

https://twitter.com/gdb/status/1790074041614717210
That's how it used to do it, but my understanding is that this new model processes audio directly. If it were a music generator, the original would have generated sheet music to send to a synthesizer (text to speech), while now it can create the raw waveform from scratch.
Hi! Thank you for the comment, i'm currently awaiting google playstore. The app has been uploaded for review. Stay tuned ! :)
High G can significantly reduce no-escape zone of AA missiles with limit fuel for final maneuvering. A performant unmanned fighter with more endurance to play the energetics game can make anti air very expensive, and possibly impracticable depending on context.
As the FDA evaluates ecstasy treatment for PTSD, questions mount about evidence
Will this include image generation for the free tier as well? That's a big missing feature in OpenAI's free tier compared to Google and Meta.
Apple Says No Major App Developers Accept New Outside Payments
VC's have twisted the idea of what a success is for normal entrepreneurs because it doesn't fit VC's 100 failures, 1 unicorn model.
No, it's an educational product. It is a walkthrough explaining the context and meaning of the map for those poor, ignorant people who don't know everything already. All you have to do to dismiss it forever is click a single button, "explore map", which is always on the top left of the screen.
I assume the desktop app with voice and vision is rolling out to plus users first?
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What is "source time", to you?

Like, I have a timestamp, in the format YYYY-MM-DD HH:MM:SS.ffff Z. What rules do I use to translate that into/from a set of bits? Whatever answer you give here, it seems like it must run afoul of the problems the parent poster is pointing out!
Arguably a good point, but remember that the reason for that was that the settlement went too far in punishing the Germans. If it was a less "aggressive" settlement, arguably there would've been no WWII (but we can't know that, of course).
Discussion on official post: https://news.ycombinator.com/item?id=40345775
This is impressive, but they just sound so _alien_, especially to this non-U.S. English speaker (to the point of being actively irritating to listen to). I guess picking up on social cues communicating this (rather than express instruction or feedback) is still some time away.

It's still astonishing to consider what this demonstrates!
There is no text. The model understands ingests audio directly and also outputs audio directly.
A professional beggar, as you describe it, has little to do with modern slavery, as mentioned by the grandparent comment.
is why I think Tim needs to get a forceful visionary as head of both design and marketing...the 2 departments where there seems to be a ton of turnover. Would this ad have passed muster w/ people like Katie Cotton/Lee Clough? At the very least, have someone w/ a better sense of this be the final editor before releasing...
Gone are the days of copy-pasting to/from ChatGPT all the time, now you just share your screen. That's a fantastic feature, in how much friction that removes. But what an absolute privacy nightmare.

With ChatGPT having a very simple text+attachment in, text out interface, I felt absolutely in control of what I tell it. Now when it's grabbing my screen or a live camera feed, that will be gone. And I'll still use it, because it's just so damn convenient?
transactional is preferable for many people.

to paraphrase Aristotle Onassis, never trust anyone who won't take a bribe
I think the issue there is less of a technical one and more of an issue with deepfakes and copyright
You wouldn't normally be physically manufacturing CPUs yourself.

Most likely you'd be supplying an "IP core", which is basically just software. More niche than that, if you actually wanted to supply physical chips, you would contract out the manufacturing to TSMC for example.
I hope when this gets to my iphone I can use it to set two concurrent timers.
Very, very impressive for a "minor" release demo. The capabilities here would look shockingly advanced just 5 years ago.

Universal translator, pair programmer, completely human sounding voice assistant and all in real time. Scifi tropes made real.

But: Interesting next to see how it actually performs IRL latency and without cherry-picking. No snark, it was great but need to see real world power. Also what the benefits are to subscribers if all this is going to be free...
"Get me all the numbers which talked to X, including all the numbers".

You won't get the actual plaintext messages, but the contact graph + metadata (timestamps) are pretty sensitive.
Flat triangles and trapezoids are sometimes used internally by these GPUs as a building block for other polygons, possibly since the logic to split up triangles and quads into flat trapezoids may have taken less die space than a rasterizer capable of handling three edge equations at a time rather than just two.

While exposing these lower level internal primitives typically did not make sense for general purpose graphics accelerators, some in-house embedded implementations did actually go further and only supported flat trapezoids, relying on the CPU to preprocess more complex shapes. For instance, the "SOLO" ASIC used in second-generation WebTV boxes took this approach [1] (among other interesting cost-cutting measures such as operating natively in YUV color space).

[1]: http://wiki.webtv.zone/misc/SOLO1/SOLO1_ASIC_Spec.pdf (warning: 200 MB scan)
Im-also-a-good-gpt2-chatbot was GPT-4o
It’s getting closer. A few years ago the old Replika AI was already quite good as a romantic partner, especially when you started your messages with a * character to force OpenAI GPT-3 answers. You could do sexting that OpenAI will never let you have nowadays with ChatGPT.
Or some sort of spyware like Pegasus
I like the humility in your first statement.
That was Bismuth, not pannenkoek2012

https://www.youtube.com/watch?v=yXbJe-rUNP8

Though Bismuth does spend some time explaining why pannen took a break from making videos, which I'm very glad to see was temporary.
In the first video the AI seems excessively chatty.
Any appearance of understanding is just an illusion. It’s an LLM, nothing more.
Regarding the limits, I recently found that I was hitting limits very quickly on GPT-4 on my ChatGPT Plus plan.

I’m pretty sure that wasn’t always the case - it feels like somewhere along the lines the allowed usage was reduced, unless I’m imagining it. It wouldn’t be such a big deal if there was more visibility of my current usage compared to my total “allowance”.

I ended up upgrading to ChatGPT Team which has a minimum of 2x users (I now use both accounts) but I resented having to do this - especially being forced to pay for two users just to meet their arbitrary minimum.

I feel like I should not be hitting limits on the ChatGPT Plus paid plan at all based on my usage patterns.

I haven’t hit any limits on the Team plan yet.

I hope they continue to improve the paid plans and become a bit more transparent about usage limits/caps. I really do not mind paying for this (incredible) tech, but the way it’s being sold currently is not quite right and feels like paid users get a bit of a raw deal in some cases.

I have API access but just haven’t found an open source client that I like using as much as the native ChatGPT apps yet.
I wonder if this is what the "gpt2-chatbot" that was going around earlier this month was
Oh, same with my father. He would tell stories about going to the markets in Algeria when he was a kid and how it was totally normal to have fruit sellers cut into a melon right then and there to give you a sample. If it sucked you just wouldn't buy it, so there was always competition for having the best produce in the market. And this was him complaining to me about poor quality produce in the US when I was a kid in the 80s and 90s -- the quality has only gotten worse since then.

Food just tastes better in other countries.