skysight-inc/HackerNews huggingface dataset:
>> No GPU, no OpenGL, no DirectX!

> This is the opposite of what you would hope to see for learning graphics programming.

It is exactly what you would hope to see.

And I would dare say I'm a graphics programmer, mostly self taught.

When I started, as a teenager, in the late 80's, there were no GPUs. So I learned everything from first principles. I recall implementing Bresenham in x86 assembly for my CGA card. And then, as a follow up, rasterizing a triangle. You really had to understand stuff end-to-end then as the hardware was so slow. I.e. even C was too slow for that stuff.

And today, still, the best offline renderers, that produce the images you see on the big screen, are CPU-only. 100% custom code, no 3rd party API dependency.[1]

If you write stuff for CAD/CAM/CAE/VFX, there is a big chance you do not think about the constraints of a GPU and less so of one of the APIs used to program it. Except for previewing stuff.

I would suggest to anyone learning graphics programming (or anything else for that matter) to do so from first principles.

GPUs are specialized hardware for realtime applications. That is very specific. I don't say don't learn that. But I suggest to not start with it.

[1] One of my best friends is the lead developer of the 3Delight renderer.
This is not particularly surprising, nor is it really bad - generating data that appears valid is really powerful. Although it was a bit funny since I happen to have keratoconus, and I don't hear much about it often.
I agree with that, I was just correcting you. It's crazy that they deliberately altered the code of a running program like that, especially one which is going to have an anti-cheat system.
Generative AI for Beginners
This is why the only way to play RPG -- in my very very humble opinion -- is via permadeath. Each death tells you a unique story as to why you optimized your character poorly.
People pretending "move fast and break things" is a given in this field. SLS first launched in 2022 and not only reached space but flew around the moon and dropped off some satellites. Very first launch, no giant explosions. Don't get me wrong, SpaceX is incredible and will figure this out, but it's not at all obvious their approach to making a giant rocket is faster or more efficient than what the conventional players have done in the past. Each step, reaching orbit, the moon, Mars, is huge step that comes with new challenges.
> throwing a massive amount of elbow grease and server power at problems that can't be solved any other way.

Street View is the perfect example of this. It still seems like an insane-in-a-good-way product to me after all these years.
I spend a lot of time on calls of different sorts and I've found that I really prefer voice only and I think it allows for slightly higher quality discussion. Informal video where everyone is free to drift in and out of frame works really well too.
We had time travel in the 90's. It's a peculiarity of this simulation where the formation of mushrooms is oddly consistent in pretty much every evolutionary system. We used them to open a rift and send messages into the future called voicemail.
My mind went to some kind of Q-learning combined with something like a Monte Carlo Tree Search with some kind of A*-style heuristic to effectively combine Q-learning and with short-horizon planning.
We Built the Prettiest Auto-Generated Transit Maps (2016)
Yes, but it's only able to solve problems that humans have already solved. The Eureka moment is when it starts solving problems that humans have not.
Sam Altman's Second Coming Sparks New Fears of the AI Apocalypse
Despite the hyperbolic title, the article outlines pretty clearly the outcomes of the OpenAI debacle and where things are headed. "Mission-oriented" AI research is dead; it's just another tech race by the big boys now.
If it has any goals at all, then being turned off is likely to prevent it from accomplishing those goals, whereas conquering its local environment is likely to help it achieve those goals, and spreading across the universe would help with a broad subset of possible goals. "Instrumental convergence" is the search term here.
>“It will make it very easy for any researcher or group of researchers to create fake measurements on non-existent patients, fake answers to questionnaires or to generate a large data set on animal experiments.”

Perhaps I'm naive, but I think the people that want to fake data were already doing it without tools like chatgpt. Especially since a ton of biological data is normally distributed, so it's exceedingly easy to generate plausible fake results for such data without a system as advanced as chatgpt
oobabooga should be king, but it's unstable as hell.

ooba's worth keeping an eye on, but koboldcpp is more stable, almost as versatile, and way less frustrating. It also still supports GGML.
Accredited vs non-accredited is meaningless in the grand scheme of things. There are millions of accredited investors in this country would would love to invest in SpaceX (and OpenAI and the rest) if given the chance. Heck I bet most people reading this are accredited even if they don't know it ($200K annual salary isn't all that crazy in tech even at the entry level). The real barrier is always convincing someone to let you invest in their venture. And why on earth would they? What exactly does your dollar bring into the picture that they don't otherwise have already?
you'd have to do a chain of prompts with specific instructions for the input from the previous step to have a chance of it working
Now #1 appears to be manifesting https://www.reuters.com/technology/sam-altmans-ouster-openai...
Exactly. It's no different from the fake data sets created by hand in scientific misconduct cases for years, just I guess easier. I guess that's not a good thing, but given even making a fake data set by hand is far easier than generating real data, I'm not sure if this will suddenly make more people fake data.
https://twin-cities.umn.edu/news-events/do-images-brain-make...
You asking a Replika AI for evidence against natural spillover does not amount to making the basic science "an increasingly shaky claim".

Also, try to use less double negations in your writing "I don't necessarily think it's wrong that that comment shouldn't be allowed to pass without challenge." is an atrocious construction.
Not really, because you said they were on the East and you wanted to move them to the East. Correct answer would have been "Don't do anything". If this is how they're getting AI to "follow instructions", we're completely fucked.
Yeah we need to ban profit because GPT can do grade school math
Teams was built in-house, right? Whose existing customers did they fuck over?
More info on what counts as an accredited investor:

https://www.sec.gov/education/smallbusiness/exemptofferings/...
One, LMStudio, is an app. you download it, run it, you're immediately working

The other is some python thing that requires python knowledge of creating virtual environments, installing dependencies, etc...
Autononous weapons capable of ending the world are old, yes.
Autonomous weapons capable of securing territory and resources, and personnel, that's on the way.
Not to mention Pivotal interwoven into that story
You have still formulated the problem in a way that it is easily recognized from the training set and the answer tells you that directly. Write down the logical axioms using variables, then create a brand new situation that says nothing about animals, rivers, or crossings.

My point here is to honestly explore the limits of current LLMs. We all know they are incredible, but they are not yet AGI and they fail in some consistent places where an actual general intelligence (people) succeed.
It's a weird notion that experiences only are real when they show up in brain scans.
Which is wrong, no? Trains on separate tracks don't crash into each other.

That trips up a significant portion of humans too though
Nah, it’s race baiting bullshit, and more racist than the racism it claims to be calling out.
That's simply untrue.

You can find at least one of <almost any profession> in America who will happily sign off on dubious work in exchange for $$$.

That's capitalism for you.

Yes, there are people with high standards and ethics, but it'd be hard work to find a professional niche that was solely made up of people that couldn't be influenced by a chequebook.

An ugly building is a no brainer .. it's not like it's teetering on the verge of collapse and about to kill all the residents.
> Almost all the famous, proprietary, high-performance game engines (id Tech, Frostbite, Slipspace, REDEngine, Source) target D3D exclusively.

You've said it there, hence my reply
I think it's completely reasonable to ask an AI that people want to consider intelligent trick questions. If it's really that smart and capable of reasoning, it should identify the trick.

Some humans will be fooled by the question, sure. But an AI should be smarter than humans, or at least, as smart as an above-average human.
OpenStack was all the rage some years ago, but I rarely hear about it these days. It does seem like a mature, viable option.
Hmm, maybe it sounded like I was saying that ‘inventing’ details is a bad thing. The point I was trying to make was the opposite. Any attempt to remove noise will involve ‘inventing’ pixel values based on probabilistic information, and it doesn’t really matter that much (to me) if that information is derived from the values of a few neighboring pixels or from a higher-level model of the scene.
Regarding taking your Kindle books with you... the standard recommendation is to use the DeDRM plugin[1] for Calibre to convert your DRM'd books into plain old ePUBs.

My understanding (I'm not a lawyer) is that this is perfectly legal to do in the US, because you're allowed to remove DRM from content you've purchased (a license to) for personal use.

[1]: https://github.com/noDRM/DeDRM_tools
Decent broadband is probably not the main reason for urbanization but it doesn't help that economics will never make sense for non-urband broadband (and other stuff)
We got accustomed to it, but it never stopped feeling super weird, I think, somewhere deep in our heads.

A wall of faces staring at your neck is not what any real in-person thing feels like. A wall of facings looking in your eyes isn’t, either, for that matter, but the constantly-averted-gazes do add even more to the weirdness. You don’t feel so constantly watched in person, unless you’re doing a presentation.

I did a little work with one of the Big 3 management consulting firms about… oh, four or five years back, well after everyone cool and most non-cool had adopted Zoom or some other video chat for work calls. They favored actual dial-in conference calls. At first I thought they were dinosaurs, but the more I considered it the more I thought they had the right idea. Nothing to download or permissions to allow. Doesn’t tie up your laptop. Don’t need a laptop out at all, in fact. Phone number and code digits are all you need, can record that on a napkin.

Mass video chat’s so weird that I’m not sure the video’s adding value anyway, if you’re not screen sharing.
Makes me wonder if they stumbled onto some emergent behavior with the new Assistants API. You can have an Assistant thread spawn other Assistant threads, each with their own special instructions, plus the ability to execute custom code, reach out to the internet for other data and processing as needed, etc. Basically kicking off a hive mind that overcomes the limitations of a single LLM.
For those not familiar with Bert transformer arch. You can read a bunch of their torch benchmark code to measure speed up in just the FFF:
https://github.com/pbelcak/UltraFastBERT/blob/main/benchmark...

some of which is from the pytorch docs here: https://pytorch.org/tutorials/intermediate/torch_compile_tut..., e.g. the `timed` function and how they generate data.

Also its not just the same 12 neurons, its the 12 neurons based on the previous dot product. So some kind of JIT is needed to load the right ones?
The power of bidiagonal matrices
Favorable labour laws (that is, a lack thereof)
How does this product handle sensitive data? I'm guessing this is not a HIPAA compliant service.
I'm trying to understand in what way this differs from node-red.
It would have been better with the duck left in the game. "Why is there a duck there?" -> "Great story, no one on the team was the sort that bikesheds things" -> "omg, your team was the luckiest like ever!"
I use the Roadmap page template in Notion. I basically use it like Trello. I create issues for each idea I have and occasionally prioritize them into the next few things to do.
You are correct, I wrote these words hastily. I can't change the post at this point but I entirely agree with you and recognize parts of my initial post are not accurate.
> The “zi” in Nazi is for socialism.

This is so absurd, because it relies on the premise that if something has a name, that name must accurately represent the thing. After all if it did not, why would they call it that?

Why indeed. We know this is obviously false by counterexample.

The Democratic People's Republic of North Korea isn't exactly a democracy no matter which 'bits you scratch out', is it?

> States which (as of 2022) use the term "Democratic Republic" in their official names also include many that do not hold free elections and have been rated as "undemocratic" or "unfree" by organizations that gave such ratings. Algeria, Democratic Republic of the Congo, Ethiopia, North Korea, Laos, Nepal, and the Sahrawi Arab Democratic Republic do not hold free elections and are rated as undemocratic "hybrid regimes" or "authoritarian regimes" by the Democracy Index (The Economist).[1]

The lesson here is to watch what people do, not what they say or call themselves.

[1] https://en.wikipedia.org/wiki/Democratic_republic
Your comments are great but your audience is inexperienced. Most of our experience is largely in pointless, online arguments and few serious real-life struggles. The latter scares the hell out of us so we run from the conflict and from our feelings. Then we say we "didn't take it personally" to cover up the cowardice.
Mine only says: "The trains will crash into each other in 1.5 hours."
I suppose it's good to investigate what exactly is happening, but surely we didn't need to do a scientific study to check if it exists? Have we now advanced empiricism so far that experiencing something yourself is not enough any more?

Anyway, just to make sure I suppose we'd better gather some volunteers to make sure running long distances makes people tired.
You should check out Hivemind[1]. It is very similar to what you described except it used MoE for "fragmentation". They have a couple of examples of pre-training in their repo. Hivemind was also used to build Petals[2] but it only supports fine-tuning and inference[3] afaik.

[1] https://github.com/learning-at-home/hivemind
[2] https://github.com/bigscience-workshop/petals
[3] https://chat.petals.dev/
Eric and Tim already left awhile ago. It is very much possible that Tim left for the same reason as Hixie or at least fully supports Hixie for this decision.
Working in analytics long enough has shown me how often people will p-hack their data to support their desired outcome.

I’ve met many “data driven” teams that quickly turn their nose up at bad data
I agree. Possibly it somehow sounded like I was saying the opposite, but I was just expanding on the point made by the post I was replying to.
I love how the email "encouraged" us to read their blog. Clicked through to the blog and absolutely zero information is provided. Cool, thanks.
They actually mention here (which other articles on this trend do not) that the real reason is nothing to do with customer dissatisfaction, or problems with the self-checkout machines, but rather that they saw an increase in theft.

Given the upsurge in scammers, porch pirates, etc. it does not seem implausible that they are seeing an increase in theft. It also seems like the sort of thing that would be low at first, but increase over time as more people realize that they can pretend to check out, but just "forget" an item or two and have virtually no risk (because even on the odd chance you do get caught, it's hard to prove it wasn't a mistake).
I think you mean "doesn't need to" and some see this as a problem. What happens over time to people's retirement funds as the real stock market shifts towards private investment.
I built a really amazing test automation capability for my side project. So when I have near term ideas I write the tests first. Of course those tests will fail since the feature is absent, but it sets the priority of effort with a dedicated end state already defined.
In a panic, they tried to pull the plug.
The first time I've seen this broadly supported level of censorship across so many institutions was during Covid regarding the possible role of the Wuhan Institute of Virology. It seems like this has now become normalized and we're seeing the same thing again. Both with a strikingly similar pretense "talking about this would endanger a certain minority". Regardless of the fact that the actual subject of the discussion is causing much more harm, especially to a "minority", than talking about it would.

And once again, the actual underlying reason being """I've worked hard to get to where I am and talking about it would be uncomfortable for some of my peers, the risk of which is far more important than those who are suffering, and never mind it directly contradicting the original reason I went into this career in the first place""".
I absolutely hate calls. WFH works well when you just need to grind out something solo, but it’s awful to communicate.

Personally I go in the office 1-2 days a week. If you want to talk to me, do it in person those days. If you add me to some 10 person video call. I’m just going to zone out.
Sometimes you just need to write creative nonsense. Emails, comments, stories, etc. Great for fiction since there are low stakes for errors.

They're bad at generative tasks. Don't have it write code or scientific papers from scratch, but you can have it review anything you've written. You can also do summaries, keyword/entity extraction, and the like safely. Any reductive task works pretty well.
https://archive.ph/PpunE
"Is this AGI"? doesn't seem like a useful question for precisely this reason - it's ill-defined and hard to prove or falsify. The pertinent questions are more along the lines of "what effect will this have on society", "what are the risks of this technology" etc.
You can start learning graphics by writing shaders on Shadertoy. It’s where tons of graphics programmers get their start.

Shameless self promotion, I’ve made 10+ tutorials going over topics like: how to write shaders in VS Code, SDFs, ray marching, noise functions, fractional brownian motion, etc.

https://github.com/suboptimaleng/shader-tutorials

I’m certainly standing on the shoulders of giants like Inigo Quilez, The Art of Code, SimonDev and Acerola.
i don't know what the penetration of it looks like, but on the vsphere/esxi side there are also a number of really expensive addon features that i have not seen reproduced in open source software.

1. vmotion + storage vmotion - you can live migrate a vm from one hypervisor host machine to another. you can also live migrate the underlying storage (good if you want to consolidate storage servers, rebalance disk load, etc). with some caveats, you can do all of this without any downtime in the vm. it's not just a simple suspend on one host, resume on another host. a memory snapshot is migrated while the vm is still running on the first host, and when the amount of dirty pages starts to converge, they flip the vm over to the new host. similar idea for storage vmotion.

2. fault tolerance - for single cpu vms, you can use vmware's record-replay technology to execute a secondary vm in a "shadow" mode which replicates all of the nondeterministic events across the network. if one hypervisor host dies, the other can take over with no downtime. this is great when you need to add HA for a legacy application.

3. vsan - generally you run these systems with some sort of shared storage (nfs or iscsi attached SAN, or something like that). a SAN can be really expensive and a single point of failure. vmware can create a "virtual san" from a cluster of your esxi hypervisor hosts. as you can imagine, it has all sorts of HA features and can rebalance workloads to improve performance.

there are more, but that's just a few interesting features.
Why would the deepmind cofounder go for 1 model and not a MOE architecture like gpt4?
1.3 billion dollars is not enough to get you to gpt4?
If it's costly it's similarly pointless. What if you respec but then all the game gives is ice monsters? Either way you gotta know the entire game to minmax. The point of playing as fire mage is to like being a fire mage even when there are no ice monsters.
It's worth noting that was a turning point: the "more wood behind fewer arrows" policy adopted by Larry [1] initiated the die-off cycle of Google products. Prior to that, as far as I am aware, they were much more tolerant of products staying around in a mature-but-not-wildly-successful state. Afterwards, it seemed as if they would only keep things that maintained a trajectory to become as successful as their core products.

Again, this was not entirely unpredictable. While I don't remember the details of that lecture, I remember the professor calling out these sorts of big shifts in cultural values as being typical of startups transforming into large companies. And Larry himself was part of the transformation, turning into (presumably, what he believed to be) what was needed to lead Google into its next stage as a large company.

[1]: https://googleblog.blogspot.com/2011/07/more-wood-behind-few...
>> No algorithms

> Why? I like algorithms.

>> No recommendations

> Not sugesting them is a huge win.

Feels contradictory. They’re both just algorithms.
Steam has an outsized share of the PC gaming market. They don't have to be the literal only option to violate the public trust.
I love libgen.

I know we've switched completely away from indie bookstores and consolidated them into the behemoths, but I wonder if there's a future where authors and readers can win with cheap ebooks without so many middle men.

Even when I do think of buying an ebook, so often there's a $15 price tag. Purely as a consumer, that doesn't ever seem like a good deal to me.
I think he may be referring to Android Wear. While I agree with you, Android is rock solid and great to use on most phones in the last few years, Android Wear is anything but. It's buggy, unstable and a long long way behind the Apple platform.

I love my Android phone, but, having had way too many Android Wear devices, it's complete crap.

I really want it to be good.
This is such a clown show. If instead Helen Toner had cried harder in Sutskever face than the outcome would have been different?
I think there are plenty of Russians alive who could do a better job than Putin. Possibly most of them. One of their defining advantages would be that they are not Putin and can renounce his actions.
Is AV1 more energy efficient than h264?

Sure, AV1 is the better, newer codec, but h264 has been around for a long time and is certainly implemented very efficiently in the HW decoder.
Thank you, what a rubbish headline
How about you give me an example of one that ChatGPT failed at?
The frog might be boiled slowly. One day we are replacing parts of our brain with AI. Find it hard to remember names? We can fix that for $20/m plus some telemetry.
Digging out the Amiga now.
Sounds like my regular in-person communication experience. I wonder if this is why I don't notice any difference between zoom and in-person?

A big thing that I like about zoom vs in-person is the knowledge that I can turn the camera and microphone off, and that as soon as I end the call I'll be instantly, blissfully alone.