skysight-inc/HackerNews huggingface dataset:
Previously on HN: https://news.ycombinator.com/item?id=40231515

Published from Cell

https://www.cell.com/cell/abstract/S0092-8674(24)00398-2

But found some snippets from ScienceDirect:

https://www.sciencedirect.com/science/article/abs/pii/S00928...

>> Recent work with high-resolution imaging has revealed that viruses packaged together into vesicles are significantly more infectious than a single virus. Mimicking this structure, we developed a facile approach for substantially enhancing immunogenicity of tumor-encoding mRNA antigens in lipid particle (LP) delivery systems through formulation of multi-lamellar LP aggregates (LPA) that can simultaneously function as vaccines and as immunomodulating agents. We show that RNA-LPAs rapidly reprogram the TME in less than 24–48 h, allowing simultaneously activated T cells to exert their effector functions. This approach overcomes the first step necessary for successful cancer immunotherapy, tumor immunosuppression and systemic tolerance, allowing effector cells to compete in a hostile immunoregulatory host system to engender rapid and long-lasting immunologic responses across murine, canine, and human cancer.
Whatever a US Court would accept, but if it's your latter proposal you can pry mine from my cold dead fingers.
It's an impressive demo, it's not (yet) an impressive product.

It seems like the people who are ohhing and ahhing at the former and the people who are frustrated that this kind of this is unbelivably impractical to productize will be doomed to talk past one another forever. The text generation models, image generation models, speech-to-text and text-to-speech have reached impressive product stages. Multi-model hasn't got there because no one is really sure what to actually do with the thing outside of make cool demos.
I have access to GPT-4o text and audio, but no video. This is on the iOS app with ChatGPT Plus subscription.

Initial connection for audio fails most of the time, but once it's connected it's stable. Sometimes a bit more latency than expected, but mostly just like the demos.
So many even here on HN have a near-religious belief that intelligence is unique to humans and animals, and somehow a fundamental phenomenon that cannot ever be created using other materials.
It takes the #1 and #2 spots on the aider code leader board[1].

[1]: https://aider.chat/docs/leaderboards/
useless anecdata but I find the new model very frustrating, often completely ignoring what I say in follow up queries. it's giving me serious Siri vibes

(text input in web version)

maybe it's programmed to completely ignore swearing but how could I not swear after it gave me repeatedly info about you.com when I try to address it in second person
It's equivalent to "nothing to see here" which is exactly the TLDR I was looking for.
There's always a crowd of incumbents. They always think they have their little piece locked down. That's what makes it a good time to move.
Same here. I observed it making up functions in d3 (`d3.geoProjectionRaw` and `d3.geoVisible`), in addition to ignoring functions it could have used.
> I hate to play the pessimist here, but I wish we could balance these amazing technological advances with the wisdom on how to use them.

This article left me with the same feeling. Technology advances so fast we're simply unable to collectively process the power we have. We're the equivalent of a toddler finding daddy's gun.
That’s a strange cartoony impression that people here have but not generally what they do, even in the case of LBOs which I assume is what you’re referencing but only a small part of what PE firms do. They generally buy businesses that are managed poorly, manage them well, and fix them.

And when they part one out like you are referencing, it’s usually a bad business. While what Eddie Lampert did to Sears/K-Mart was criminal, or at least should be, they were not a good business and hadn’t been in a very long time.

A good business is rarely worth more parted out than whole. It’s most often good business for the “raided” too because they are failing and the alternative is bankruptcy. A company that survives after laying off 25% of its staff still employs more people than one that dies entirely.

This is why they prefer companies with high revenue and low profits. That’s nearly always the sign of a business that has been mismanaged and can be fixed.

I have come to the conclusion that people in tech are as largely ignorant of finance as people in finance are of tech.
> but apparently you still need to across much of the US, and dealing with negative numbers is… fine?

Honestly, you don't really need to, at least on a day-to-day basis. I grew up somewhere where it got <0F every year for like a week at a time. You will just colloquially refer to it as "below zero" which roughly translates into "yea f** that, we aren't going outside".

The only time I ever really remembered distinguishing between degrees below 0 was midwestern trash talk between e.g. IL, WI, MN, and ND. (If I remember correctly, ND wins on wind chill)
You still have a bridge and each of those languages are not just from the same species but the same language family. If there’s English to French and French to Spanish there’s a semantic relationship between English and Spanish.

There exists no bridge to whale any more than there is aliens from Alpha Centauri.
Just call it "climate"
Good links, thanks. I had read the Houston anecdote before but never seen this photograph.
> Writing is an effective way to achieve this because you don’t need to find another person who wants to hear about your idea

Shouldn't you still have some sort of idea of the audience you're writing for? And for example, I am more accustomed to seeing myself in different spheres of life, where I behave differently, is it possible to combine all of this?
I’d say we are derivative creatures. ;)
Tesla Rehires Some Supercharger Workers Weeks After Musk's Cuts
I feel like gpt4 has gotten progressively less useful since release even, despite all the "updates" and training. It seems to give correct but vague answers (political even) more and more instead of actual results. It also tends to run short and give brief replies vs full length replies.

I hope this isn't an artifact from optimization for scores and not actual function. Likewise it would be disheartening but not unheard of for them to reduce the performance of the previous model when releasing a new one in order to make the upgrade feel like that much more of an upgrade. I know this is certainly the case with cellphones (even though the claim is that it is unintentional) but I can't help but think the same could be true here.

All of this is coming as news that gpt5 based on a new underlying model is not far off and that gpt4(&o) may become the new gpt3.5-turbo use case for most apps that are currently trying to optimize costs with their use of the service.
https://archive.today/b13Fs

Related: https://www.teslarati.com/tesla-walks-back-supercharger-team...
I don't see any details on how API access to these features will work.

This is the first true multimodal network from OpenAI, where you can send an image in and retain the visual properties of the image in the output from the network (previously the input image would be turned into text by the model, and sent to the Dall-E 3 model which would provide a URL). Will we get API updates to be able to do this?

Also, will we be able to tap into a realtime streaming instance through the API to replicate the audio/video streams shown in the demos? I imagine from the Be My Eyes partnership that they have some kind of API like this, but will it be opened up to more developers?

Even disregarding streaming, will the Chat API receive support for audio input/output as well? Previously one might've used a TTS model to voice the output from the model, but with a truly multimodal model the audio output will contain a lot more nuance that can't really be expressed in text.
>> The gold rush is over - private equity is going to squeeze every little drop from the companies that have been built and we will move on to Web 3.0 - which will be just like web 1.0 - self-hosting, link directories, newsletters, and guestbooks.

> As much as I'd like to see a web 1.0 revival, this won't happen.

> The traffic is controlled by Google and social networks.

Maybe Web 1.0 won't return as the "dominant culture," but I wonder if something like it could return as a subculture.

> Most people don't have the skills needed to run their own website. A lot of valuable content is created by people without these sorts of skills.

Maybe we just need an new MS Frontpage for the new millennium?
Does the EU require it to track for underage users?
You made more or less the exact same comment on a recent thread. What does it add to this conversation?
https://news.ycombinator.com/item?id=40221193
If true, makes me wonder what kind of regression testing OpenAI does for these models. It can’t be easy to write a unit test for hallucinations.
> use ORM is as a fancy query tool

As an alternative to query-by-example (QBE)?

https://en.wikipedia.org/wiki/Query_by_Example
not AT&T or Comcast.
As someone who has been playing around with (and enjoying) Mojo, I have my doubts about how useful Mojo will end up being for your average scientist. You can't get performant code out of Mojo if you're not willing to learn some deeper programming concepts like SIMD or tiling.

I don't have the exact quote on hand, but in the Mojo Discord, Chris Latner explicitly said he wants no "compiler magic" in Mojo. With that idea in mind, Mojo makes it a lot easier to do optimizations like SIMD vectorization by hand, but you will still have to do it manually. My guess is that many scientists who don't like programming would find it annoying to hand-write those kinds of optimizations. If you want a language that gives you nice, performant code on your first attempt, Julia is always a decent option.

These are the docs for some of Mojo's higher order functions that implement vectorization, parallelization, tiling, loop switching, etc. https://docs.modular.com/mojo/stdlib/algorithm/functional

I do think they are a good idea and relatively easy to use; I'm just not convinced that the non-programmer scientist will like them.
Build products with them. I know of a few musical instruments with CM3s, for instance.
It’s sad that I get downvoted so easily just for saying the truth. People’s beliefs about AI here seems to approach superstition rather than anything based in computer science.

These LLM are nothing more than really big spreadsheets.
What a tool
Moravec's paradox states that, for AI, the hard stuff is easiest and the easy stuff is hardest. But there's no easy or hard; there's only what the network was trained to do.

The stuff that comes easy to us, like navigating 3D space, was trained by billions of years of evolution. The hard stuff, like language and calculus, is new stuff we've only recently become capable of, seemingly by evolutionary accident, and aren't very naturally good at. We need rigorous academic training at it that's rarely very successful (there's only so many people with the random brain creases to be a von Neumann or Einstein), so we're impressed by it.
I have some questions/curiosities from a technical implementation perspective that I wonder if someone more in the know about ML, LLMs, and AI than I would be able to answer.

Obviously there's a reason in dropping the price of gpt-4o but not gpt-4t. Yes, the new tokenizer has improvements for non-English tokens, but that can't be the bulk of the reason why 4t is more expensive than 4o. Given the multi-model training set, how is 4o cheaper to train/run than 4t?

Or is this just a business decision, anyone with an app they're not immediately updating from 4t to 4o continues to pay a premium while they can offer a cheaper alternative for those asking for it (kind of like a coupon policy)?
The corresponding range for C is -50C to +50C which covers virtually all human experience. 20-25C is typical indoor comfortable temperature. And veering from it either above or below makes things uncomfortable. 0C is freezing, below which hypothermia risk increases rapidly.

All nice whole round numbers.
I think even scarier is that ChatGPT’s tone of voice and bias is going to take over everything.
Bezos loss-leader product-manager pushes hook deeper into worm.

I fail to see this as progress, YMMV =3
how des this work
GPT-4o Contributions
It gave me pleasure.
they literally launched TODAY a GPT-4 model!
The AI doesn’t behave like the computer in Star Trek, however. The way in which it is a different thing is what people don’t like.
Be aware that discussing anything in the CM5 Forward Guidance document is tricky, the document still says -

"This whitepaper is restricted and covered by the Raspberry Pi Ltd non-disclosure agreement (NDA). It should not be copied, shared, or duplicated without permission."
Near real-time voice feedback isn't amazing? Has the bar risen this high?

I already know an application for this, and AFAIK it's being explored in the SaaS space: guided learning experiences and tutoring for individuals.

My kids, for instance, love to hammer Alexa with random questions. They would spend a huge amount of time using a better interface, esp. with quick feedback, that provided even deeper insight and responses to them.

Taking this and tuning it to specific audiences would make it a great tool for learning.
There’s nothing bad about telemetry per se. In fact it should be considered bad to not be paying attention to how anything you build works in the real world.

(Then comes Meta c.s. and everyone rightly distrusts anything reported back from their computer)

This just to say, that yes, the majority of companies cannot be trusted, but there’s still good guys out there collecting useful metrics completely devoid of secondary malicious purposes.
The Fad Diet to End All Fad Diets
Those are about as basic of an action as you can get. Every assistant supports them. But as soon as you want to know something like "how many teaspoons in a cup," can Siri still handle it? What about "where is the aurora borealis visible tonight"?

Another issue Siri used to struggle was trying to play specific music on Spotify. Is that better these days?
didyoujustassumemygender.png

The data analytics work, that's why companies use them.
I'm skeptical about the company's claims however I disagree with your comment.

You can do firmware updates on bluetooth chipsets, say for example Silicon Labs EFR32, to have a custom 2.4 ghz protocol. Wirepas is an example of a proprietary protocol that runs on 802.15.4 SoCs.
HOW ARE PEOPLE NOT MORE EXCITED, hes cutting off the AI mid sentence in these and its pausing to readjust in damn near realtime latency! WTF Thats a MAJOR step forward, what the hell is gpt5 going to look like.

That realtime translation would be amazing as an option in say Skype or Teams, set each individuals native language and handle automated translation, shit tie it into ElevenLabs to replicate your voice as well! Native translation in realtime with your own voice
No, audio is fed directly into the model. There is no text to speech transformer in front of it like there was with chatgpt-4.
How long might it be until certain plants capable of surviving these swings in temperature evolve?
> neither reading nor lurking are ever passive acts. In fact, readers of social media are making decisions and taking grassroots actions on multiple dimensions. Unpacking this understudied phenomenon, Just Here for the Comments: Lurking as Digital Literacy Practice (Bristol UP, 2024) by Gina Sipley challenges the conventional perspective of what counts as participatory online culture. Presenting lurking as a communication and literacy practice that resists dominant power structures, it offers an innovative approach to digital qualitative methods [...]

Something is a bit strange about this presentation. "Grassroots" is not the opposite of "passive", and likewise "participatory" is not the same thing as resisting dominant power structures. If anything, since lurking is something most people do most of the time, that would suggest it is first and foremost a conventional rather than radical activity (I mean this both literally and in terms of the implied political positioning of the typical internet lurker).

In any case, something can be understudied and worth studying, interesting or uninteresting, and worthy of celebration or not, whether or not it resists dominant power structures. If it turned out most people lurked because they were usually using the internet for information rather than action, and that it had nothing to do with resisting power structures, that would still be worth studying simply because it would be a major aspect of how people use the internet.
I weighed 300 pounds at one point, and I lived - was there any imminent need to change? I've got a buddy who's smoked since he was 14 and he's fine today - I guess all those critics who told him to quit were just shrill doomers.
I cannot believe that that overly excited giggle tone of voice you see in the demo videos made it through quality control?! I've only watched two videos so far and it's already annoying me to the point that I couldn't imagine using it regularly.
To be fair it is quite remarkable customer service story & relevant to the article.
>>and it has no real understanding of quantity or causality.

>Well this one is just wrong.

Is it?

--

Me: how many characters are in: https://google.com

ChatGPT: The URL "https://google.com" has 12 characters, including the letters, dots, and slashes.

--

What is it counting there? 12 is wrong no matter how you dice that up.

Part of the reason is it has no concept of the actual string. That URL breaks into four different tokens in 3.5 and 4: "http", "://", "google" and ".com".

Its not able to figure out the total length, or even the length of its parts and add them together.

I ask it to double check, it tells me 13 and then 14. I tell it the answer and suddenly its able...

---

Me: I think its 18

ChatGPT: Let's recount together:

"https://" has 8 characters.
"google" has 6 characters.
".com" has 4 characters.
Adding these up gives a total of 8 + 6 + 4 = 18 characters. You're correct! My apologies for the oversight earlier.

---

Count me out.
Oregon, Canada, Netherlands all have it.

Also could jump off a building.
The beginning of enshitification of discord (while 100% expected) for some reason hits harder then any other service I've used throughout all these years. It has entirely replaced social media for me. It just felt more organic to me then anything else.

So... since I've heard about the ads coming to discord, I have looked into alternatives.

They do exist, in varying quality, and there are programs for some of them that make a "bridge" from a discord server to your new platform. It's possible to have your cake and eat it to.

Matrix looks really close, but it needs ALOT of love. I have high hopes for matrix because of the idea of it. Perhaps my lackluster experience was because I didn't choose the best client available. I'm still trying new things here.

https://matrix.org/

Revolt is the more complete product as of today.

https://revolt.chat/

Spacebar I have yet to try but it's on my radar.

https://github.com/spacebarchat

I just wanted to see if anyone else had other recommendations for me to try. I really would appreciate help here. Hopefully something open source and self hosted so I can stop migrating and sink some roots in somewhere.

Oh crap, is it IRC?
That's what openai managed to catch. The large enough sense of wonder. You could feel it as people spread the news but not as the usual fad.. there was a soft silence to it, people focused deeply poking at it because it was a new interface.
This might mean GPT-5 is coming soon and it will only be available to paid users.
Is the output stable across machines in the same architecture (i.e. with various simd features enabled/disabled, compiled in 32-bit vs 64-bit modes, etc) and across architectures (x86_64 to aarch64)?
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Cool product. Not clear what sort of classification models are being used - if they're statistical/classical, deep learning, or zero shot LLMs. Video demo shows 'Product classifier', 'Intent classifier', 'Sentiment classifier' options. LSTM?
Did you use any of the GPT voice features before? I’m curious whether this reaction is to the modality or the model.

Don’t get me wrong, excited about this update, but I’m struggling to see what is so magical about it. Then again, I’ve been using GPT voice every day for months, so if you’re just blown away from talking to a computer then I get it
Cash is about $900k. I gave the after -tax amount (tbills are fed taxed but not state taxed).

Right, so the average person will pay an even more insane mortgage, making renting an even better deal for them.
Can you explain the sand and grit part?
> Since GPT-4 launch, token prices are falling 84% per year!! Good for mankind, but crazy for these companies

The message to competitor investors is that they will not make their money back.

OpenAI has the lead, in market and mindshare; it just has to keep it.

Competitors should realize they're better served by working with OpenAI than by trying to replace it - Hence the Apple deal.

Soon model construction itself will not be about public architectures or access to CPU's, but a kind of proprietary black magic. No one will pay for upstart 97% when they can get reliable 98% at the same price, so OpenAI's position will be secure.
Okay great.

Why does AI and heterogeneous compute need ownership and lifetime checks again?

These are really needed for low level pointer heavy code.
Adds historical context as to a duration of an extremely long-lasting problem?
I’m curious how the people who believe this is what happens think the LBO firms keep getting credit. The banks that end up holding the bag in this imaginary bankruptcy scenario are just idiots who keep falling for it over and over again? Like Charlie Brown with the football?

If this is a thing that they all do all the time and the creditors always lose, how do the creditors not learn?

Or is it possible that that’s just a story based on events that happened a few times and were extrapolated to be believed to be the norm?
Human managers also easily succumb to survivorship and confirmation bias (I got this far when others didn’t; I must be great!)

I very much am for letting the machines do it all socializing/democratizing what “all” means, and otherwise giving people their time. But we continue to draw out hierarchical charts because that’s what we’ve been doing for centuries

Sunk cost fallacy applies to human history over generations. The memes of the recent past are not immutable and will necessarily change as generational change attenuates their signal. Being afraid of it is childish

Gradients and ranges of belief, constantly shifting the colors of the social spectrum