skysight-inc/HackerNews huggingface dataset:
I think server side statistical analysis can go a long way to detect stuff like that. Obviously its always a cat and mouse game between devs and cheaters, and there are always workarounds, but theres a lot more the devs could be doing without relying on invasive client side detection.
Even on-orbit refueling is a huge boon for orbital assist flexibility.
I've been using WezTerm for a while for the lack of a better alternative, but the current state of Wayland support in it is absolutely terrible. For example, I just changed my terminal font and I wasn't able to start WezTerm until I changed back to the previous font.
A prevention model would be like the xbox where technical measures are used to prevent user code. A detection model is server side and detects anomalies for bans.
Free voice cleaning API with deepfilter3 and Lambda
Speed Up Compound Full-Text Searches in PostgreSQL by 300x
My question was specifically about the "adjacent" part of "adjacent intersections". That link explains "intersections". What does it mean when those are "adjacent"?
Both the M2 and M3 MBP were released in 2023.
That is interesting to know, and does seem to be true if that $10 million is the lottery and is truly random income and is truly instantaneous. If you are working on a company that you sell, it may not be the case.
>so the courts can consider it the same image for search purposes

An important part of the ruling seems to be that neither Google nor the police had the original image or any information about it, so the police viewing the image gave them more information than Google matching the hash gave Google: for example, consider how the suspect being in the image would have changed the case, or what might happen if the image turned out not to be CSAM, but showed the suspect storing drugs somewhere, or was even, somehow, something entirely legal but embarrassing to the suspect. This isn't changed by the type of hash.
> Unemployment calculations from data recorded during that time have since changed. The same unemployment numbers are not the same mathematical objects being compared

We can look at the number of people on payrolls and the number of people claiming unemployment.

You are in a deep tech bubble if you think we're in a recession let alone depression. (What we are in is a cost of living crisis.)
Not our problem.

The problem of cheating in games does not weigh more than the users ultimate ownership of and control over their own property.

No one has a right to a business model.

They can do plenty enough server-side. It's not a blocking problem at all, it's just easier to take over all control of the users pc for your own convenience.

Everything, including all valid goals, is easier if you could just have the power to control whatever you want instead of having to cooperate and respect others and respect boundaries. It's no more valid than saying "Everything would be so much better if everyone would just do what I say.". Using that argument is invalid even if supposedly applied in service to some otherwise valid goal.
Crazy that even o1-preview gets most things wrong.

This is in line with my own personal experience with LLMs and non-trivial questions. They’re excellent when answering questions on topics you know nothing about, and somehow embarrassingly wrong when you actually know the answer yourself…

It’s not clear to me why we’re still trying to encode all of human knowledge in a single model, instead of teaching the model how to look for answers from an external source (e.g. RAG).
I'm not sure about that first part, some of the biggest games like gtav is an embarrassment in the concept of never trust the client.
Exactly how I felt working at Google with their “open concepts”. Thankfully I am back at the University of Washington in a cubicle now, away from the yuppy babies. God knows where people get these ridiculous ideas.
While I get the MBA-speak of lines-of-code that AI is now able to accomplish, it does make me think about their highly-curated internal codebase that makes them well placed to potentially get to 50% AI-generated code.

One common misconception is that all LLMs are the same. The models are trained the same, but trained on wildly different datasets. Google, and more specifically the Google codebase is arguably one of the most curated, and iterated on datasets in existence. This is a massive lever for Google to train their internal code-gen models, that realistically could easily replace any entry-level or junior developer.

- Code review is another dimension of the process of maintaining a codebase that we can expect huge improvements with LLMs. The highly-curated commentary on existing code / flawed diff / corrected diff that Google possesses give them an opportunity to build a whole set of new internal tools / infra that's extremely tailored to their own coding standard / culture.
What is Event Modeling? (with example) (2021)
Gamers are great targets. They'll disable security for higher polling rates. Not discerning, gladly walk to the slaughterhouse.
Battery is fine by itself, but I'd say that the range is somewhere between 315-350km depending on terrain etc. Definitely not the 420km that's advertised. I knew this beforehand from reviews so it wasn't unexpected, but I'd be pretty angry if I didn't read about it from reviews before I got the car.

For me it's fine as I still only charge once a week and I still have around 70%-80% usually, unless I visit remote relatives. I could probably stretch and recharge every other week if I really wanted to, but I prefer to have it ready as we sometimes do have longer drives.
The increase from $10 to $20 is 100%. The increase from $0 to $10 is infinity%, but I take your point.

I'm probably just still a little bitter about the recent Bitwarden open source rugpull.
There are ways to address that easily.

Imagine, after a show is sold out, the ticket seller creates a waiting list. As long as the waiting list is longer than 0, anyone who purchased a ticket and no longer wants it can get a full refund.

Now you have tickets which are not transferrable but without removing the ability for people to access the event.
So the average power produced by those plants was 500MW.

That phrase is still nonsense. The fact that if you go, do your research, get the real numbers, and interpret them you can discover that what the journalist is trying to say is correct is meaningless. You can still cut the journalist out from the process and lose nothing.
Hm it seems like they call it unified memory too, at least in some places, have a look at 5.7.1 "Unified Memory Architecture" in this document: https://www.intel.com/content/dam/develop/external/us/en/doc...

Intel processor graphics architecture has long pioneered
sharing DRAM physical memory with the CPU.
This unified memory architecture offers [...]

It more or less seems like they use "unified memory" and "shared memory" interchangeably in that section
Your never going to catch 100% of issues, human or AI review, but I've found that in code reviews a lot of the benefit is when people ask questions about the code being reviewed and have a discussion on it.

Is the AI tool going to ask why something was implemented in a way that might not match the requirement specs? Is it even going to know what the requirements are for the code or is it going to rubber stamp a review because the code looks reasonable?

If you think human code reviews offer very very little benefit then you probably aren't doing them right.
An analysis of the Keycloak authentication system
Maybe for larger kitchen/restaurants. But for residential use I think it would only serve to further distance the human from nature with all subsequent drawbacks.
CIA Accidentally Overthrows Costa Rica [video]
Interesting, so this is a Mac-specific solution? That's pretty cool.

I assume, then, that the primary goal would be to drop in the beefiest GPU possible when on windows/linux?
I'd love to hear what you saw that motivated this. Care to share?
Nope. The two most common non-amphetamine ADHD drugs, methylphenidate and atomoxetine, are both now old enough that they’re available in generic form, and methylphenidate is cheap enough that step therapy is not routinely required before insurers cover it. Even one of the pretty new and therapeutically effective long-release amphetamines, Vyvanse/Elvanse, is now available as a generic as of (I think) summer 2023. So are most of the other amphetamines.

You’re right in general about how much of the pharma industry prefers to operate, but wrong about what’s true in the specific context of ADHD treatment, and also wrong (even if your remark was only tongue-in-cheek) about whether people with ADHD get high when they do take an amphetamine as prescribed.

That last misconception is actually quite harmful, whether or not you were joking. It’s a perverse fact that most of the obstacles which state and federal legislators, state and federal regulators, major pharmacy chains, and pharmacists put in the way of smooth access to most ADHD medications - primarily as part of the war on drugs - are uniquely hard to handle and overcome for people with ADHD, due to the types of life struggles that ADHD causes in particular.

The widespread stereotype of people with ADHD as drug seekers looking to get high, at least in much of the US, makes appropriate policy outcomes hard to achieve and hard to experience in practice. The benefit of medicines to people with ADHD is no less legitimate than the benefit of Ozempic or insulin to people with diabetes. And nobody with ADHD gets high from therapeutic doses of ADHD medicines.

Anyone who does get high from such doses doesn’t actually have ADHD, and so either they got the prescription from a doctor guilty of diagnostic medical malpractice (or a doctor complicit in a false diagnosis/prescription) or they lied to the doctor in a fraudulent way when undergoing the diagnostic process. Those are worth punishing, but not at the expense of making it unreasonably difficult for the medicines to be accessed by the very same population for which they are quite legitimately approved and prescribed.
Simplest/smallest possible expression of the discussion between Lewis Carroll[i], Giuseppe Peano[1], Andrey Markov[-i], and John McCarthy[0] without using parentheses/calculus, A + b-epsilon

[ i] Lewis Carroll : https://en.wikipedia.org/wiki/Lewis_Carroll

[ 1] Giuseppe Peano. : https://en.wikipedia.org/wiki/Peano_axioms

[-1] Andrey Markov : https://en.wikipedia.org/wiki/Markov_chain

[ 0] John McCarthy : https://en.wikipedia.org/wiki/John_McCarthy_(computer_scient...
> You would just think that with a brand so intrinsically wrapped around the concept of technology working for and with the people that use it, you'd want to show the people who made it if you're going to show the apple campus at all.

I would think that a brand that is at least trying to put some emphasis on privacy in their products would also extend the same principle to their workforce. I don’t work for Apple, but I doubt that most of their employees would be thrilled about just being filmed at work for a public promo video.
> one could say it's critical to stop hackers.

It's never critical to stop hackers in a videogame IMO. We need to stop being so damn serious about gaming.
That seems crazy to me unless we're prepared to rebuild our infrastructure to allow a majority of the populace to live car free. Otherwise completely eliminating our auto industry would be an enormous national security risk.
AI might not be waste, but it is wasteful. I mean, at least a few orders of magnitude less efficient than a human. It costs me almost no energy to write an essay, ChatGPT on the other hand...
I don't think the established consensus on the meaning of the word "porn" itself includes some kind of inherent implied positivity, either; not even among people who have a generally positive attitude towards porn.
I've never seen a game request root privileges, and I would think installation of anything kernel-level would need that. None of the steam binaries have setuid nor capabilities set.

Have anyone seen games that request root privileges?

EDIT: I'm gathering from this[1] and the fact that no wine-related package have kernel modules included and no executable from any of those packages have setuid nor capabilities set, that this isn't really a problem in Linux, just in Windows.

[1] https://www.reddit.com/r/linux_gaming/comments/gjzkzk/will_w...
Can AI make life easier for people with dementia?
That's fair. I came away from reading the opinion that this was not a perceptual hash, but I don't think it is explicitly stated anywhere. I would have similar misgivings if indeed it is a perceptual hash.
This eval’s goal is a bit unclear to me, especially given the example questions. They’re very trivia/minutiae like asking about sports goals for example, which is their stated desire to test factual knowledge. But will this ever be possible by an LLM, without web browsing - which they deliberately removed while evaluating?
What is a reasoning machine though ? And why is there an assumption that one can exist without flaws? It's not like any of the natural examples exist this way. How would you even navigate the real world without the flexibility to make mistakes ? I'm not saying people shouldn't try but you need to be practical. I'll take the General Intelligence with flaws over the fictional one without any day.

>Having deeply flawed machines in the sense that they perform their tasks regularly poorly seems like an odd choice to pursue.

State of the art ANNs are generally mostly right though. Even LLMs are mostly right, that's why hallucinations are particularly annoying.
Revisited this, and while it was tongue-in-cheek, it feels a bit ungrateful.

A lot of tech roles are intellectually stimulating and have a wage in the upper distribution of salaries. I think we have a very nice situation going for us.
If you go by the chart at the link, they've lost 54.9 billion dollars since Q4 2020. [1] Do they have any products that can, even in principle, recoup that kind of loss? Is there some kind of tax scheme that can explain this?

[1] - From Q1 2020 to the present: (2.1 + 1.83 + 2.43 + 2.63 + 3.3 + 2.96 + 2.81 + 3.67 + 4.28 + 3.99 + 3.74 + 3.74 + 4.65 + 3.85 + 4.49 + 4.43) -- The trend is clearly accelerating. Could build a cool scatterplot.
At the very least Apple are better than Microsoft, Windows and the vendors that sell Windows laptops when it comes to respecting user experience and privacy.
Ah yes, that’s why stuxnet wasn’t a big deal
> there is always a point in time during their education where this clicks

Always?

Or are you showing a selection bias?

I call it "hitting your head against a brick wall". The tenacity to keep fighting until you win. Doesn't always work (can end up wasting time) but it is surprisingly effective against seemingly intratible problems. "Grit" is the marketing word. Workarounds is another form.

I'm interested in how it can be taught. I force myself because I admire a certain level of "OCD" behaviours and try to emulate those I admire.
I think the problem is that that kind of work requires a good deal of developer resources for a long time. What company wants to pay upkeep on a shipped product? You could save hundreds of thousands of dollars a year by shipping a rootkit to players and not worrying about server security.
I just meant it as an analogy, not that I'm specifically on-board with AirBNB owners putting cameras in bathrooms.

Anyways, that's why I just rent hotel rooms, personally. :)
I think their main target is corporate creative jobs. Background music to ads/videos/etc. And just like with all AI, they will eat the jobs that support the rest of the system, making it a one and done. It will give a one time boost, and then be stuck at that level because creatives won't have the jobs that allowed them to add to the domain. In this case new music styles. New techniques. It's literally eating the seed corn where the sprouts are the creatives working in the boring commercial jobs that allow them to practice/become experts in the tools/etc that they then build up it all. Their goal is cut the jobs that create their training data and the ecosystem that builds up/expands the domain. Everywhere AI touches will basically be 'stuck using Cobol' because AI will be frozen at the point in time where the energy infusing 'sprouts' all had their jobs replaced by AI and without them creating new output for AI to train on it's all ossified.

We are witnessing in real time the answer to why 'The Matrix' was set when it was. Once AI takes over there is no future culture.
The split is roughly 25% AI, 25% typed, 50% pasted.
If you generate a new image 60 times per second, that's reasonably described as "60 fps", this is how the output of video game engines has been described for at least 25 years*.

If everyone's doing that all day every day on each eye, that's a reasonable guess of an upper bound: you as a human cannot actually consume more even if you make it.

GANs can already do that speed, but any given GAN is a specialist AI and not a general model; diffusion models are general, but they're slower (best generation speed I've seen is 4-5 frames per second on unknown hardware). LLMs aren't really suited to doing images at all, but can control other models (this is what ChatGPT does when "it makes an image" — it calls out to DALL•E).

* how long I've been paying attention to that, not a detailed historical analysis
It's a strange conflict. So much of their other stuff is about togetherness mediated by technology (eg, facetime). And their Jobs-era presentations always ended with a note of appreciation for the folks who worked so hard to make the launch happen. But you're right that much of the brand imagery is solitary, right up to the whole "Here's to the crazy ones" vibe.

It's weirdly dystopian. I didn't realize it bothered me until moments before my comment, but now I can't get it out of my head.
In Seattle, they call these "all walks" or officially, "all way walks." I love them, since I don't feel like I have to watch out for drivers making left turns.
Embrace the magic of “and”.

Boilerplate is good but definitions are best, even with boilerplate words that have boilerplate definitions. Incorporating those definitions into the document at the time of execution benefits all parties. Again: minimize ambiguity, anticipate what will make dispute resolution easier.

Source: have worked through a lot of contracts, license agreements, labor agreements, and disputes over the same.
Really cool, what about allowing people to code their own rules in JS? So I could code the performance and consumption profile of a truck, for example.
I've tried using older models to create a cpu player on this lateral thinking game (https://detective-stories.com) and they were surprisingly bad at giving answers. I am curious to see how well the more recent models will do.
Unsafe Rust is much safer than C
Did Google invent this hash?
Imagine if the subscriptions were opt in every month. You'd get an email:
"Want to extend your subscription by a month? Click here."

That'd be wonderful for consumers and terrible for shitty companies. But it should be that way.
You can search for videos on YouTube and filter by HDR. Apple TV shows are typically in HDR (Dolby Vision). Here are a couple of examples:

[0] Hawaii LG Demo: https://www.youtube.com/watch?v=WBJzp-y4BHA
[1] Nature Demo: https://www.youtube.com/watch?v=NFFGbZIqi3U

YouTube shows a small red "HDR" label on the video settings icon for actual HDR content. For this label to appear, the display must support HDR. With your M3 Pro, the HDR label should appear in Chrome and Safari.

You can also right-click on the video to enable "Stats for nerds" for more details. Next to color, look for "smpte2084 (PQ) / bt2020". That's usually the highest-quality HDR video [2,3].

You can ignore claims such as "Dolby Vision/Audio". YouTube doesn't support those formats, even if the source material used it. When searching for videos, apply the HDR filter afterward to avoid videos falsely described as "HDR".

Keep in mind that macOS uses a different approach when rendering HDR content. Any UI elements outside the HDR content window will be slightly dimmed, while the HDR region will use the full dynamic range.

I consider Vivid [4] an essential app for MacBook Pro XDR displays.

Once installed, you can keep pressing the "increase brightness" key to go beyond the default SDR range, effectively doubling the brightness of your display without sacrificing color accuracy. It's especially useful outdoors, even indoors, depending on the lighting conditions. And fantastic for demoing content to colleagues or in public settings (like conference booths).

[2] https://www.benq.com/en-us/knowledge-center/knowledge/bt2020...
[3] https://encyclopedia.pub/entry/32320 (see section 4)
[4] https://www.getvivid.app/
With Windows/Linux I think the issue is that NVidia is artificially limiting the amount of onboard RAM (they want to sell those devices for 10x more to openai, etc) and that AMD for whatever reason can't get their shit together.

I'm sure that there are other much more knowledgeable people here though, on this topic.
AWS AppSync launches new serverless WebSocket APIs
You hear about it a lot because it's real and happens constantly, esp in past decades
Economists are generally fine with defining productivity as the ratio of aggregate outputs to aggregate inputs.

Measuring it is not the hard part.

The hard part is doing anything about it. If you can't attribute specific outputs to specific inputs, you don't know how to change inputs to maximize outputs. That's what managers need to do, but of course they're often just guessing.
We collectively deride leetcoding interviews yet ask AI to flawlessly solve leetcode questions.

I bet I'd make more errors on my first try at it.
While I don't agree with any of that, at all, we don't even reach the question, because the point of my comment is that he calls himself that. The SPLC has him in primary source quotes.

I don't think you're going to have an easy time of un-cancelling Richard Lynn. As it stands, your argument comes across more as trying to launder his most inflammatory claims back into the conversation. I'm not interested in debating phrenology, only the more specific question of what terms are and are not reasonably to apply to this person. That's a question we can actually answer empirically with sources available to us.
And by design:

"To be included in the dataset, each question had to meet a strict set of criteria: ... and most questions had to induce hallucinations from either GPT-4o or GPT-3.5."
Will AI make work burnout worse?
wstty – Windows Stty Replacement
> Party A discovers very high probability evidence that Party B is committing crimes within the property ...

This isn't accurate: the hashes were purposefully compared to a specific list. They didn't happen to notice it, they looked specifically for it.

And of course, what happens when it's a different list?
The people I'm referring to are not working in software if that's what you're asking, but it's definitely knowledge work.

It seems pretty clear to me that this is disruptive to most knowledge worker's workflows, even without getting into the whole discussion of how close are we to AGI and does this thing really understand anything.

It's basically Clippy done right ;)
Post-co author here. This is actually something that we are considering implementing in future versions of pgai Vectorizer. You point the vectorizer at database A but tell it to create and store embeddings in database B. You can always do joins across the two databases with postgres FDWs and it would solve issues of load management if those are concerns. Neat idea and one on our radar!
What do you mean? They burned several high value 0days on a high value target. Why wouldn't China burn a high value backdoor on a target they deem valuable enough.
Simran Arora: "Join us for a livestream this Thursday, Halloween/Diwali, and join our channel on the GPU Mode Discord server to hang out with us/get involved:"

https://discord.com/login?redirect_to=%2Fchannels%2F11894982...