skysight-inc/HackerNews huggingface dataset:
The gateway station will provide experience operating outside LEO. That's a valuable thing to pursue. Lunar operations give gateway something to do while advancing the tech stack.
I do, but I wouldn't use this editor based on the ToC alone.
Profit First by Mike Michalowicz, bar none
Propertyware does charge an access fee, you are correct. Additionally, they offer a licensing agreement where their customers can provide API keys to consultants to help them build out their tool(s). We are one of those consultants.

As far as who assumes the access fees, they are managed strictly by our customers and we have no pass-through pricing on that side. Our pricing is solely based on our own costs, infra, value, etc. All of our customers get access to all of our integrations (current and future) as part of our standard pricing model.
> It's not exactly surprising that a company known for its extensive dealings with corrupt actors is also bad at managing risk.

HSBC is just as evil, and is doing well enough that they just acquired the UK branch of SVB

https://www.icij.org/investigations/fincen-files/hsbc-moved-...
Oh, good point. You may be on to sonething there. I missed that we may not be the target demographic anymore.
That $20/month 4GiB data (they have $15/mo as an intro rate) Mint mobile plan doesn't include any devices. Whereas $120/month to TMobile is $60 for their base Magenta service (which is still more than $15), but $30/month for an iPhone 14, and another $30/month for a series 7 iWatch (and plan for it). People want shiny new things and sign contracts to pay for them.
"Transformers for Natural Language Processing" by Denis Rothman on Packt is a good one.

Make sure to get the 2nd edition for the coverage of newer models, particularly the ones from Hugging Face.

Everything I've read from Denis is really good. He's great at explaining complex topics in ways that are straightforward and digestible.
I'm not sure about a long running process, but off the top of my head I could imagine how to monitor a process and adjust its CPU usage for future runs.

It would very much depend on what kind of hardware you have, though. If the fans are PWM and if they have the RPM line enabled, you could potentially monitor the fan speed and use a utility like cpulimit.

Anything else I can think of would require overengineering like building a decibel meter and connecting it over serial or IP.
In exact domains you can often validate the model with numerical simulations, or use the simulations for reinforcement learning or evolution. The model can learn from outcomes, not only from humans. In biology it is necessary to validate experimentally, like any other drug or procedure.
I wonder if this is simply how brains evolved too, because we also are multi-modal, and parts of our brain are specifically used for different tasks such that damage in those parts impedes completing said task (while still having some level of neuroplasticity where the brain could try to recover by remolding its neural architecture).

I would not be surprised to see something similar when looking inside the structure of a multi-modal neural network, where certain parts handle certain tasks and other parts handle other tasks.
Folks need to understand the difference between market cap and enterprise value. To buy a company, you don't only have to buy the shares of stock, you also have to assume all their liabilities.

True, liabilities should be less than assets. But that's why banks are freaking out in the first place.
This is better addressed on the processor's end, as even if you "throttle" a process, your CPU is still going to turbo to a noisy state. In fact, it could make energy efficency worse by encouraging the CPU to run at higher clocks in short bursts (whereas it runs at slower, more efficient clocks during long constant loads).

How you do this depends on the OS and CPU. RyzenAdj, for instance, works on AMD processors on linux and windows.
Oh yeah agreed. This isn't a problem that can be solved by cops though, if it were NYC would have already solved it.
Your state certainly has a law permitting letters sent to prisoners to be opened and inspected. Mine does:

Incoming mail may be opened, inspected for contraband and read by authorized institutional staff within the guidelines set forth in this policy.

- RI Department of Corrections policy 24.01-7, 1.4.1.B.2
(authorized by RI General Laws 42-56-1)
You're dreaming. Most ransomware gangs operate offshore in countries that don't cooperate with our law enforcement or extradite suspects.
How do we even define 'best and most useful' for a language model?

If you have your own data and problems you are trying to solve I don't think using GPT4 in zero-few shot mode (even with CoT) is necessarily better/higher performing than using a smaller fine-tuned or retrieval augmented model, it certainly wasn't true for GPT3.5 although we don't have as much insight into GPT4.

If we're talking about something as general/open-ended as ChatGPT or a 'poor mans AGI' well yeah, the data curation and preprocessing alone takes a small team to figure out let alone training it. How useful this type of model is when it's still not good enough (i.e. hallucination) to be used in most production cases despite the exorbitant cost in development remains to be seen.
Those are generally being used on much smaller productions, or at least "simpler" fidelity things (i.e. non-photo CG animation like Blizzards's Overwatch).

So for Pixar/Dreamworks style things (look great, but not photo-real) they're useable and provide a definite benefit in terms of iteration time for lookdev artists and lighters, but it's not there yet in terms of high-end rendering at scale.
The amount of Type I errors that get made (that we know about) in our (USA) justice system is really wild when you truly consider the consequences.

The Innocent Project estimates that 1% of all prisoners are innocent. Hard to say if that number is accurate, but go ahead and cut it in half if you like. 0.5%. Doesn't seem like a lot in percentage terms. But of the 850 people in the jail system that the EFF is talking about here, that means at least 4 people are innocent and can't even receive a letter. Imagine if that was you. Man, it's hard to imagine. It's hard to even imagine.

"Nationwide, over 500,000 people are incarcerated in county jails like the one in Redwood City, 427,000 of whom have not been found guilty and are still awaiting trial." Apply that same 0.5% here, and that's 2,135 people. There are literally thousands of innocent people in the prison system. Thousands. A bus seats like 50 people. Imagine 40 buses full of innocent people going to jail, and that's the reality we live in.
That's a trivial example, sure. Think of saying "make this image more red, flip it vertically, then crop the bottom 25%, and finally output it with 80% compression as a jpg". That would take 15 minutes to figure out how to write that with imagick, or just have an LLM do it for you.
GPT4 is already out? I just got GTP3. "You bought the wrong bot, silly head!":
https://www.youtube.com/watch?v=EdRMVhlNP5I
Also Twitter. They started with Ruby on Rails and rewrote in Java at a later time.
Open source competes through cooperation.
Each time a new innovation takes place there will be a website talking nonsense about AGI that will get millions of ad print revenue.

Don't click.
Thanks for checking it out! Responses inline:

> That sounds like loading the entire database every time

Yup, we do perform computation over the entire database for every read - there is zero correlation between the server's work and the client's query. We currently serve queries to a 1 GB database in under 1 second. For much larger databases (100+ GB), this becomes more a question of cost: we can stay fast (1 sec) with more expense, or go slower (e.g. 5 sec) and stay cheap.

> Cryptographic proof that the server is not spying

If you trust your client software [0], then you can be sure that your request isn't decrypted anywhere outside your device. Even a malicious Blyss server cannot determine your query, because it never got a chance to see it.

[0] This level of security depends entirely on having a trusted client. Our client software is open source, and we plan to have it formally audited. We'll also publish signed desktop apps so you can be sure that you're running the same client every time.
Hmmmm, interesting
No they aren’t. They got paid large joining bonuses and 4 months of severance. They probably made 2 years worth of money in a single year. I’m recommending most of my friends at FAANG and FAANG-adjacent companies to go join a late stage startup that has high cash comp, since the equity value is pretty shitty everywhere right now. Once the market improves in a year or 2. Their resume will start getting shortlisted again because it had FAANG on it.

I think the days about caring about your employer are now in the past, given how companies have treated employees.
GPT-5? Huh?
I was also surprised to see its omission. I adore my Framework laptop for linux usage, even if getting biometric support was annoying to compile and get working.
Oh yeah, if this is a ARM Mac, force the process to the efficiency cores.
I also think this is a must-read for would-be entrepreneurs. Probably nine times out of ten when someone tells me about their startup idea looking for advice I point them to this book first because they haven't done the basic validation yet and want to jump right into building something that no one actually wants.
I've been doing similar things all the time lately.

write me a function in python that ...

I've always forgot the syntax for alot of functions/libraries etc.

Also, I haven't really written lot of python until recently.
It would probably be too expensive now to rebrand themselves due to confusion. Honestly maybe they should have called themselves netai or alphaai
Apple still does security updates for IOS - last was 12.5.7 - 23 Jan 2023 - that's back to the iPhone 5S.

Feature updates with the current IOS 16 goes back to the iPhone 8

Yeah you do lose feature updates and slowly app support after the latest version drops support, but it's not like they're dropping support after 2 years, and you can stay on it for years later if you'd like.

I'm not saying it couldn't be better but they're clearly far above the vast majority of their competition.
Not all incarcerated people are prisoners though. Plenty of folks in jail are simply too poor to afford bonding out before their trial date.
When you have $1m revenue on the same bank account, why would they ever care about $650.
We have all that infra. Part of the reason why hoa fees are just ridiculous these days
"The ability to achieve objectives in many different environments" is as good of a definition you need in order to achieve very powerful things.

Would be nice to have enough of a theory of intelligence to be more precise than that, but the above definition will go very far.
Not sure if I'm understanding the analogy. The way I usually describe it is that it's like Census / Hightouch, but it's offered by the vendor as a first-party feature.

Let's take Salesforce as an example. Let's say they want to pull in data from their customer's database -- maybe so that sales reps can keep track of how much volume the customer did in the last month -- instead of requiring the customer to instrument their code with Salesforce API calls. Salesforce could use this tool to connect directly to all of their customer's databases / data warehouses, regardless of whether they're Postgres, Snowflake, Clickhouse, etc.

As far as why it's non-trivial: you have to support a lot of different databases / data warehouses, which all have slightly different query languages, type systems, and optimizations. Then you've got to move the data reliably, dealing with things like eventual consistency etc. We feel like that's the reason this hasn't been built yet.
Under 18 U.S. Code § 1702[0], it would appear to be illegal on-its-face for USPS mail to be inspected by prison authorities.

> Whoever takes any letter...before it has been delivered...with design...to pry...or opens...the same, shall be fined under this title or imprisoned not more than five years, or both.

However, there's certainly more to be said about this, as the ACLU's prisoner rights page[1] has this to say about mail in prison:

> The First Amendment of the Constitution entitles prisoners to send and receive mail, but the prison or jail may inspect and sometimes censor it to protect security, using appropriate procedures.

I've been unable to find any resources identifying under what statutory authority a prison may inspect mail, but I'm unfamiliar with legal stuff, so I think this is a "me-failure". I did find a 2021 article from The Intercept[3] which was informative on giving a similar-perspective, different-author from the submitted ACLU page.

[0] https://www.law.cornell.edu/uscode/text/18/1702

[1] https://www.aclu.org/know-your-rights/prisoners-rights#i-wan...

[2] https://theintercept.com/2021/09/26/surveillance-privacy-pri...
We analysed DevOps Roles in 2023
Blooms experiment would probably more relevant here if he gave the kids the option of using a tutor, at their own liberty and pacing (not sure if he did in fact do so).

Everyone has chatgpt here but not everyone will use it. Just like how not everyone shows up to office hours or asks questions of their teacher.
It is less massive than the other planets. Momentum is conserved, so any escape scenario would see at least one other planet with a smaller orbit.
AI proponents are missing the point. Anything you write to make an AI produce something is basically code. Docs are code.

You don’t have to feed a developer code or docs, you can give them a high level idea and they’ll figure it out on their own if you want.
There is a paper showing you can infer when the model is telling the truth by finding a direction in activation space that satisfies logical consistency properties, such as that a statement and its negation have opposite truth values. Apparently we can detect even when the model is being deceitful.

https://arxiv.org/abs/2212.03827

Another approach - a model can learn the distribution - is this fact known or not in the training set, how many times does it appear, is the distribution unimodal (agreement) or multi-modal (disagreement or just high variance). Knowing this a model can adjust its responses accordingly, for example by presenting multiple possibilities or avoiding to hallucinate when there is no information.
I run a hosting company that has around 100 large dedicated servers at OVH. OVH's website sucks, but everything else is great-- outages are extremely rare in my experience, and their built-in DDoS protection is excellent. Also, OVH's Canada data center has great ping times from the US, whereas Hetzner's locations are in Europe.
> Tech workers were lucky mercenaries to the elite for a short amount of time

Exactly, and I don't think we can all claim blindness.

Live by the sword, die by the sword.
> before an FDIC settlement was announced, uninsured SVB deposits were reportedly trading between $0.75 and $0.90

The key point is that those were uninsured deposits.

Anyone under FDIC protection was fine.

At best a stablecoin is like an uninsured bank deposit, in an unregulated bank. No thanks, I'll stick to FDIC coverage.
What do you mean by "high gain 600 MHz yagi"? you can't just attach an antenna to a cellphone, the phone doesn't have the connector for that, but also the FCC has Opinions about you doing that
> In the lead up to GPT-4, Sam Altman hinted at higher pricing for smarter models

I think this is all you really need to know about the future of AGI.
I've counted three different Rust LLaMA implementations on r/rust subreddit this week:

https://github.com/Noeda/rllama/ (pure Rust+OpenCL)

https://github.com/setzer22/llama-rs/ (ggml based)

https://github.com/philpax/ggllama (also ggml based)

There's also a discussion on GitHub issue on setzer's repo to collaborate a bit on these separate efforts: https://github.com/setzer22/llama-rs/issues/4
I'm guessing you know, but as a reminder to readers, Python does have compilation built in. It works similarly as Java - source code is compiled to a bytecode that is then run by a virtual machine. A difference is that for executing that bytecode, CPython virtual machine have JIT native code generation.
I wouldn't be quick to trust it.

https://formcake.com/blog/stripe-atlas-includes-five-thousan...
MCRT = Monte Carlo Ray Tracing
It's a hypothetical piggybacking on the parent comment.
For me having a large house close to my workplace is a huge game changer. I get to spend a lot of time playing with my daughter outside on my property. I play pickle ball, jump on trampoline, etc. all on my property while living 15 minutes away from my office.
Speaking as someone who's worked in a warehouse:

> I'm not sure I would classify your average warehouse worker as particularly intelligent.

I'm not sure I wouldn't. Just because corporations treat them as mindless fungible automatons doesn't mean they actually are. Some of the most brilliant and creative solutions to problems I've seen have been in warehouse settings by warehouse workers.

> I would say AI already has the decision making and communication capabilities to do this sort of work.

I wouldn't - especially if GPT-whatever is the AI in question. If a picker or packer "hallucinated" facts with anywhere near the frequency ChatGPT does (for example), one'd be canned within the hour.

Handling exceptions is another area where software (AI or otherwise) notoriously struggles. A human has a much easier time sensing whether or not a product is broken or defective (before shipping it out) than an AI does. A human has a much easier time understanding when processes need to be broken due to impossible constraints than an AI does.

There is a place for software automation of warehouse processes (that was, in fact, my career for a time), but we are very far off from that software replacing humans entirely - and certainly not without designing warehouses specifically to be as accomodating as possible to that software.

> In fact one of the main issues in our society is the vast gulf between the most intelligent and the least.

The gulf is in socioeconomic privilege, not intelligence. The rich and powerful like to claim they're more intelligent than the unwashed masses in order to rationalize their wealth and power, but the reality is that - in an actually egalitarian society, wherein everyone actually has equality of opportunity - the vast majority of those "geniuses" would fail to be particularly exceptional.

That we as a society haven't identified and corrected this is the main issue in our society.
Category Theory Illustrated – Functors
Feel free to ask any questions about Metaflow, the Metaflow sandbox stack, etc. here!

Also, we'd love to know how you like to learn AI and ML topics. What tools do you use to test ideas on production-ready ML infrastructure?
I do this too. I meet someone who expresses an opinion relevant to the liberal/conservative divide. Based on which side it better matches, I fill in the rest of their opinions for them.

I feel bad for doing it, but it seems to work astonishingly well. Had I not told you, you probably wouldn't have been able to tell.

I guess I just meet a lot of people with moon-shaped opinions.
could that not simply be stated "open source cooperates"

i find it a little dated that we cognitively frame everything through the myopic lens of competition.

and it's a perfect example where a systemic restructuring can fundamentally rebalance control.
Sorry if it wasn't clear, this approach doesn't work since I need both versions. Besides, old versions are ultimately removed from the cache and rendered uninstallable by `pacman`. So, no that wouldn't work.
I thought it was just wannabe good coders that swears at the code...
In the year 2063 42k is probably more like $20k today. Just straight poverty.
If it’s not disclosed then it’s abuse (in my eyes - not saying legally, just morally).
Most of the business can't survive without tax payers money in one way or another.
I would also like to avoid a future where we are slaves to corporate AI. If training the whole model individually isn’t feasible, would it be possible to decentralize the training?
Not to weigh in on any other aspect of this discussion, but when you say:

> I have a hard time imagining a future where someone tells an LLM,
"Write me a shell script that runs run_control.py with the speed argument set to one hundred."

I'll point out that we already live in a world where single lines of pure function code are distributed as an NPM packages or API calls.
Shokie was almost 50 years ago. As an example, can you name a single recent court case where the ACLU defended speech against a "protected class"? Speech we all agree with doesn't need defending.
I like how the term AGI was invented because people couldn't agree on what AI was and now no-one can agree on what AGI is.

I don't understand why anyone even bothers using the term given in any serious discussion you need to define it up front anyway.
I'm torn.

On one hand, porn has little artistic merit, and is not uplifting, so it shouldn't have copyright protection.

On the other hand, the act of content creation is sacred, enough so that the content creator and their heirs or successors in interest have a right to a very long, state enforced monopoly.

I don't know how this should fall out
Now there's a nice bit of irony .. archive.org doesn't respect robots.txt, is nearly impossible to block, but has an anti-bot wall?
This looks to be specifically optimized for the Moon, but they are very close to a generic algorithm that they can feed blurry cell-phone images of common photography subjects on the input, match them to high-resolution known-good stock photos. Those stock photos may be taken by pros using studio lighting and full-frame DLSRs with lenses containing more glass than the mass of the entire cell phone. Regardless of whether you're copy-pasting in a rectangular bitmap from a stored stock photo or whether your convolutional neural net applies stock-photo-ness to input data, the effect is the same: you can generate photos that look really astonishingly good given that the input optics stack has a 5mm deep total track and your sensor has less than 10mm across the diagonal.

Once you have that general framework, though, I'd expect the Samsung to want to 'enhance' Samsung phones and smartwatches (especially), Coke cans, candles, and cars, butterflies and birds, the Moon or a Macbook, rainbows or diamond rings, and anything else that's both hard to take a good picture of and also a common photography subject. Speaking of Coke cans, that gives my pessimistic, dystopian-leaning imagination an idea: I wonder if Coke could or other brands might in future develop an exclusive partnership with Samsung to send stock photos of their product, resulting in photos of your meal where the familiar red can looks especially glossy, saturated, reflective, crisp, and refreshing...while an Instagram of your meal from the food truck that has cans of Pepsi still looks like a cell phone photo.

Upscaling photos of printed pages by matching against a font library seems like a similar opportunity, though you run into the old Xerox copier issue that the transformation removes information about uncertainty. I'm sure they'd love to have pictures of people look better too, but it's more difficult when there are billions of subjects to ID.

I'm not saying that they should or should not do any of this, but when you want to sell phones with cameras that make your shots look really good, this kind of technique lets you cheat the laws of physics.
Oh I see! I had missed that. I had read that quote last night which had given me the spooks, and was surprised it wasn't a larger talking point.

It's good to know that they had it quite well supervised, but knowing that they were testing on a slightly different model than what was released and that Bing is using it with the ability to connect to the internet does give me pause.