skysight-inc/HackerNews huggingface dataset:
>>The roughest era of AMD CPUs was the FX era.

>Ahem. Bulldozer?

Bulldozer is the same as FX.

>AMD FX is a series of high-end AMD microprocessors for personal computers which debuted in 2011, claimed as AMD's first native 8-core desktop processor.[1] The line was introduced with the Bulldozer microarchitecture at launch (codenamed "Zambezi"), and was then succeeded by its derivative Piledriver in 2012 (codenamed "Vishera").
Maybe you should reread the article? The introductory motivational paragraph talks about the difficulty of getting to the main board which is in the back of the fridge.
I saw them through the telescope. In the 11" I could see them through the eyepiece and on the 6" it was on the cam captures. I checked e.g. with Stellarium
When ChatGPT summarises, it does nothing of the kind
Friends are family you can choose, I’ve heard, and I agree!
Yes, but you need the Bitlocker key to get into safe mode
Imagine if we'd been appropriately skeptical of the way social media might worsen society in exchange for some short term fun and convenience, rather than blindly conflate invention and novelty with progress. We can forgive ourselves for that naivete, but having seen that what excuse do we have now?
"disapparing" = people getting aware that their data has value, and setting their robots.txt permissions acordingly?
> The phrase "root kit powered endpoint surveillance" is a mischaracterization, often fueled by misconceptions from the gaming community.

How exactly is this is mischaracterization? Technically these EDR tools are identical to kernel level anticheat and they are identical to rootkits, because fundamentally they're all the same thing just with a different owner. If you disagree it would be nice if you explained why.

As for open source EDRs becoming the target, this is just as true of closed source EDR. Cortex for example was hilariously easy to exploit for years and years until someone was nice enough to tell them as much. This event from CrowdStrike means that it's probably just as true here.

The fact that the EDR is 90% of the work of attacking a Windows network isn't a sign that we should continue using EDRs. It means that nothing privileged should be in a Windows network. This isn't that complicated, I've administered such a network where everything important was on Linux while end users could run Windows clients, and if anything it's easier than doing a modern Windows/AD deployment. Good luck pivoting from one computer to another when they're completely isolated through a Linux server you have no credentials for. No endpoint should have any credentials that are valid anywhere except on the endpoint itself and no two endpoints should be talking to each other directly: this is in fact not very restrictive to end users and completely shuts down lateral movement - it's a far better solution than convoluted and insecure EDR schemes that claim to provide zero-trust but fundamentally can't, while following this simple rule actually provides you zero-trust.

Look at it this way - if you (and other redteamers) can economically get past EDR systems for the cost of a pentest, what do you think competent hackers with economies of scale and million dollar payouts can do? For now there's enough systems without EDRs that many just won't bother, but as it spread more they will just be exploited more. This is true as well of the technical analogue in kernel anticheat, which you and I can bypass in a couple days of work.

Where we are is that we're using EDRs as a patch over a fundamentally insecure security model in a misguided attempt to keep the convenience that insecurity brings.
Testing correctness and compatibility with particular vendors was the priority: block storage, O/S images, APIs, etc. A third-party solution like LocalStack was on my radar, because it aims to be compatible with AWS. My understanding of Oxide is that it's its own thing.
What computable functions is it performing? Can you show me the code for these computable functions?
This seems egregious to me too, since there were people in it. I can imagine laying a pipe 12ft down without ever having anyone in the trench. I wonder if that's common practice?

(The obvious issue with doing it that way is that someone will a tool or the pipe will get snagged or whatever, and then someone will go down to fix it without bothering to order + install the shoring.)
Technicalities make things harder to understand for general masses. “The Data That Powers LLMs” means little to nothing to an average user. My 70 year old parents use ChatGPT, and they have no idea what LLM is, but call it AI.
Oddly this is a thing: https://en.m.wikipedia.org/wiki/Vertebrobasilar_insufficienc...
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> If a certain piece of software is working well, what is the benefit of rewriting it in Rust?

One benefit is it's easier to hide malicious code thanks to Rust's complicated syntax.
Same thing already happened on Linux, but it failed to make a big enough splash to make any headlines. Putting Windows at fault here is unfair.

https://www.newsbytesapp.com/news/science/before-affecting-w...
I wonder if it's a hardware design or build defect, and the solution may be too inhibiting of performance.
I've picked AMD over Intel too, but I've had so many issues with it that I partly regret it. Memory stability issues, extremely long boot times, too high voltage, iGPU driver timeouts. Most of the issues have been fixed, but not all. After months of dealing with an annoying memory leak, I've just recently been able to confirm that it is caused by a Zen 4 iGPU driver.
The "Ordering" step doesn't really matter that much. You're usually doing a sort anyway prior to submitting the drawcall. What hurts is the overdraw. If you're doing opaque rendering, you get to render front to back, rendering only what actually appears on the final framebuffer. The number of pixels (after the depth pass) is proportional to the framebuffer. When you're doing transparent rendering you render back to front, and you have to render a tonne of the scene that will eventually be (partially) obscured by other random polys. We call that overdraw. The amount of pixels through the shader pipeline balloons to be proportional to the size of your mesh.

If you're doing non-overlapping stuff, you'd actually expect (almost) no slowdown from transparency, since you'd have to touch every pixel once anyway, and the only thing that changed is the shader formula.
Seems like we agree then. There is a middle point and I would actually prefer for it to be some sort of open source one.
Hmm I was considering buying the Lattepanda Sigma for a project, but seeing it's a 13th gen mobile i5-1340P... err maybe not. It is a shame though, it's beefier than any ARM board and AMD doesn't seem to bother doing SBC integrations for some reason. I guess they hate money.
Look at 2020, 2016, the overton window rapidly shifts. Anymore it seems that relying on polls four months out isn't ultimately meaningful.
If you want to overcome introversion and develop peoples' skills, it is not enough to "talk a lot and say nothing". You need to feel comfortable and confident, adapt to the speaking style of others, react to their communication cues, etc.
Read a lot about body language, listen to how other people speak, and start trying to imitate some phrases and topics.
Besides, learn a bit about different topics you would usually not speak about, you don't need to know a lot to be able to keep a small conversation about sports, cars, gardening or literature. And if you include those topics in your small chat, you will eventually learn more.
Have small chats with the janitor, the store cashier, the taxi driver, etc. Smile and be kind, people will generally be kind to you as well.
There are advanced courses on oratory, public speaking and the like, but you probably need to feel confident with the basics first.
in my day, we used spears

https://youtu.be/bOnjlyZf6LE
Difficult to have a recession when the federal deficit is 6.3% of GDP:

https://www.cbo.gov/publication/59727
Getty will have to indemnify users against infringement claims in the event that the images it generates turn out to be based on unlicensed materials and judged as derivative by a court. So will all other AI companies eventually, it's just that Getty has _some_ content while other companies rely much more on unlicensed content.
It is neither umlaut nor diaeresis, but just an i and a j with each their own dot smushed together into a ligature, which can take either the form of a y with both those dots on top, or a more rounded form that more resembles an i and j joined together.

I guess in other languages than Dutch it could be a y with a diaeresis or umlaut.
Economic drivers spring to mind, possibly connected with civil or criminal liability in some cases.

But this will be the work of at least two human generations; our tools and work practices are woefully inadequate, so even if the pointy haired bosses (fearing imprisonment for gratuitous failure) and grasping, greedy investors fear (for the destruction of “hard earned” capital), it’s not going to be done in the snap of our fingers, not least because the people occupying technology industry - and this is an overgeneralisation, but I’m pretty angry so I’m going to let it stand - Just Don’t Care Enough.

If we cared, it would be nigh on impossible for my granny to get tricked to pop her Windows desktop by opening an attachment in her email client.

It wouldn’t be possible to sell (or buy!) cloud services for which we don’t get security data in real time and signal about what our vendor advises to do if worst comes to worst.

And on and on.
Kamala looks unelectable. She had to quit the nomination race in 2020 even before primaries.
>Destroying the innocent with a clear conscience: A sociopsychology of the Holocaust

That sounds as a very weak perspective to start with. That is, what if "they" are not "innocent"? There is definitely a standard out there that will allow to judge us as guilty of some heretic behavior, whoever we are.

Surely it would not be very wise to judge a book by its title, though.
Some time ago I was wondering the same thing and did a little experiment: https://radanskoric.com/experiments/experiment-gradual-typin...

My take on typing and Ruby is that it makes sense in specific parts of the code where you expect to get high benefit from it.

Overall, I don't like using types for the whole project. The reason is that you end up losing some specific Ruby benefits, like being able to express the solution in a few very concise lines of dynamically typed code. Ruby is not designed to be a type friendly language and that shows when trying to use types. It works but it doesn't feel like pure Ruby anymore. It's definitely a compromise. You lose a bit of ruby expressiveness to get some type safety.

I want to emphasise that I am actually very fond of types. For example, I've been learning Rust and I really enjoy using Rust for very different reasons than I enjoy using Ruby.

I think that tools are best used in the way they were intended to be used. And for Ruby that's without types. For Rust it's definitely with types. I enjoy both very much.

In Ruby I'll use types in cases where I would actually prefer to implement the part in another language (like Rust) but using typed Ruby is going to be more maintainable than introducing a whole new language just for one section of the code.
I did https://learnyouahaskell.com and then https://adventofcode.com . I've been learning Haskell for about 6 years now and I sort of get it.
You lost me at "AI assistant help".
Open to interpretation but it often ends up something like this:

1. "Do we need to use this shovelware? Can't we achieve compliance via <a few sane steps>?

2. CTO/CEO: We can either use this software and you don't have to think about it, or we can do your thing and I'm going to hang you out to dry the second literally anything goes wrong with it.

3. "Ah. Ok nevermind." [starts updating resume]

IMO it's part of this toxic culture against DIYing literally anything. Yes NIH can be bad, but so is the complete opposite where you make insane decisions (technical or money-wise) because of a culture where people are punished for trying to DIY when it does make sense.

At a particularly toxic past org of mine, we actually had a "joke" (not the ha-ha kind of joke, the i can't believe we actually do this kind) where for a few key decisions we appointed someone to be the "Jesus" for that decision - someone who was already planning to quit, so they could make a decision that was correct but would get them punished, then "die for our sins", leaving us with the benefits of a correct decision having been made but without any of the political fallout of having done something that offends the sensibilities of leadership.

Yes eventually you run out of messiahs to sacrifice and yes it sucked to work where a lot. But damn did they pay really well, so, yknow.
If you're familiar with functional programming, I really like the learnxinyminutes reference for Haskell: https://learnxinyminutes.com/docs/haskell/

I'm not sure why, but the Haskell one clicks for me more than some of their other guides.

This isn't a great way to learn Haskell, but it's enough to start writing working code (and writing working code is a good way to learn!!)
In the near future I see less real, quality human data that will go behind paywalls, but also much more AI generated data feeding into the next generation of AI. Because more and more people are using it to publish stuff online. Which then gets scooped up by AI training crawlers. And if it made sense to train an LLM on its own output, it would be done already :)

I doubt they can continue the progress at the same speed they have been at so far. Because the game is set to become more difficult.
Could you point me to some references to learn about his?
Perl 6 is incompatible in all sorts of ways. It's so incompatible that people didn't even upgrade! So incompatible that they renamed the language! Even more incompatible than Python 3!

Even Perl 5 is rapidly evolving. They just added try/catch. Added a new isa operator. Added a new __CLASS__ keyword. Added defer blocks.
I disagree, consent is important here, and the "move fast and break things" mentality is what's causing problems.

#1 It's not all that certain AI training is fair use. There could be significant damages if it is found to not be fair use.

#2 "We're going to steal your shit even if you won't give us consent to do that" is a bad idea. We're already seeing the practical results: People stop/reduce posting their works to the clearnet. What's your scraper bot going to do? Create an account on every 'private' forum and immediately get sued? Pay a subscription fee to every single Patreon page?

And the big one, #3: It destroys public support for your technology, which is essential if you want to survive the oncoming government regulation.

Look at the public response to various tech companies stopping their AI rollout in europe over EU regulations. Varying from "Yes, this is exactly what we asked for" to "Good fucking riddance".

And it will get only worse yet. Europe's privacy authorities are already issuing quiet statements that the scraping of social media posts, such as is done for AI data collection, is not legal under the GDPR. (The law's pretty clear on this, it doesn't matter that it was "posted publicly", you're not allowed to use personal data like that) There's already whispers of going after the LLMs themselves, as they contain and continue to process personal data as well.

AI needs public support, and the lack of consent is slowly bleeding it dry.
"Evil Inside(tm)" software made sure many of the libraries and compilers had much slower performance on AMD chips for years.

We had to use intel cpu/gpu + CUDA gpu simply because of compatibility requirements (heavy media codecs and ML workloads.)

Lets be honest, AMD technically has had a better product for decades if you exclude the power consumption metric. ARM64 v8 is also good, if and only if you don't need advanced gpu features.

The Ryzen chips definitely are respectable in passmarks benchmark value stats rankings. =)
I can also very much recommend his book about programming methodology. Lots of good sane advice there for anyone wanting to learn more about structuring code and keeping everything readable and bug free.
Ooh, one nice book is the Okasaki purely functional data structures. The inline code is not Haskell, but iirc the appendix has Haskell implementations
> But this is just an egregious lack of the most basic rollout standards.

Agreed. It's crazy that the top tech companies enforce this in a biblical fashion, despite all sorts of pressure to ship and all that. Crowdstrike went YOLO at a global scale.
Google Cloud has an totally different customer base, strategy and internal culture from the rest of Google.
It honestly makes me hesitant to publish my special personal code on gists or private repos vs at least 3-2 backup the really good stuff...

TBH I would not feel any sadness if LLM models plateaued, greatly decellerated development, or even -regressed- as they start to ingest all the garbage already being spewed by LLMs.
Integer division rounds to 0, not negative infinity. -1 / 2 == 0, or -0 if you're lucky enough to have the hardware. For ones' complement and signed magnitude, though, right shift of a negative number also rounds to 0, I think.
I think the worst possible outcome is a licensing regime that means that Disney or Paramount or Elsevier or whoever all get to have a monopoly on training large models within their niche. My guess is that any successful calls for regulation will have this outcome, which means that individuals won't be able to legally use AI-based tools except when creating works for hire, etc.

Currently, I think most of the training use cases can be covered by the existing "you can't copyright a fact" carve out in the law. That's probably better for society and creators than my licensing regime scenario.

Anyway, I'm rooting for "no regulation" for now. The whole industry is still being screwed over by market distortions created by the DMCA, and this could easily be 10x worse.
Not a convincing argument, but a testament to low standards. Also, Whataboutism.
Esports World Cup
Currently the largest tournament prize pool in history, something like $60M+ in prizes across 21 games, 500+ teams, 1500+ pro gamers. July 3 - August 25 2024

More info on the about page:

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Watch current/in progress matches and completed tournaments:

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And he also has to be able to make a decision at a moments notice.
When the alarm bells are flashing red in the nuclear bunker, do you want a half senile man deciding to press the button or not?
Yeah, I didn't want to dunk on ApostropheCMS, this was our responsibility for not understanding the tech. I made another comment hoping to make that clear.

Overall it's a great & in current headless craze a unique product. V3 looks very good, but we never got that in production.
I worked at one of the big ones and we always shipped live to all consumer devices at the same time. But this was for a popular suite of products that generate a lot of consumer demand, so we had a rigorous QA process to make sure this wouldn't be a problem. As I was typing this, it occurred to me that zero people would have cared if this update was staggered making it pretty silly not to.
Since no one has mentioned this yet, https://haskell.mooc.fi
Haven’t touched Haskell in years, but I found the best guide was Brent Yorgey’s old UPenn CIS194 online class. It contains easy to digest text lectures with follow up classwork.

I successfully taught dozens of people who had no former functional background. Just did a weekly meeting covering the lecture and prior week’s homework.

https://www.cis.upenn.edu/~cis1940/spring13/lectures.html
Birthing the Blob: cleaning Chinese air pollution and Pacific surface heating
Simple uses of technology can be used to avoid a lot of work place troubles.

No video sent, no one gets paid. This would ensure everyone on the job site complies with safety rules. Each worker would be incentivized to send their own video proof reducing claims of technology failure.
We don't need auto summaries if they're not actually correct.
It's not a choice between AI or not AI, it's a choice between summaries or no summaries
> trained entirely on Wikipedia

does the CC used by wikipedia allow training?

> and no contemporary art in sight

will note per above, they may be able to scrape other CC if they -can- scrape wikipedia.

> It's mostly deleterious to the culture.

Yep and based on how I already sometimes catch people treating LLM hallucinations as fact, it's likely gonna get worse anyway.
Based on Intel's behavior so far and the previous comment by Alderon Games' founder, I'm not sure why you're so willing to believe them at face value.

> "The laptops crash in the exact same way as the desktop parts including workloads under Unreal Engine, decompression, ycruncher or similar. Laptop chips we have seen failing include but not limited to 13900HX etc.," Cassells said.

> "Intel seems to be down playing the issues here most likely due to the expensive costs related to BGA rework and possible harm to OEMs and Partners," he continued. "We have seen these crashes on Razer, MSI, Asus Laptops and similar used by developers in our studio to work on the game. The crash reporting data for my game shows a huge amount of laptops that could be having issues."
Ah, yes, I meant that the LLM could output suggestions, which a human would then think about and convince themselves, and only then, implement in Pypy.
It's not just LLMs but all generative models that rely on extreme amounts of training data. Text but also images, video, speech, music.

And it makes sense that LLMs were the ones to trigger the hype. AI in general has been making steady progress but most usecases are really hard to explain to layman. Give them a chatbot and they naturally understand what's happening.

The only thing I'm seeing is that people are using them wrong. They're using them like all-seeing oracles, which is exacerbated by the confidence with which LLMs provide their answers, and the innate human idea that "it's a computer so it must be right".

But knowledge isn't really where LLMs shine, at least not without search engine integrations. It's rather generation, summarisation, translation (with context sensitivity), rewriting styles etc.