hedgehog @ hedgehog @ttrpg.network

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875

Joined

2 yr. ago

how to grow longer thumbs?

Clearly you should get Thanko’s “Yubi Nobiiru” thumb extender

This article repeatedly says that the game is running in 1440p, but I thought that the PS5 didn’t support 1440p. TIL they added it.

For something like cheating and streaming your exploits on Twitch, it makes sense for a suit like this. Bungie’s reputation would suffer even more due to his audience being much more likely to seek out cheating tools, to associate the game with cheating, and to spread both those pieces of information themselves.

In a case where the damages are real and not contrived, copyright feels a bit more legit.

$500k feels extreme, though, even in this case. Is this based off real sales, stock prices, or back of the napkin math? Maybe mark it down to his scale of income. So they have $100 million in annual ebitda (and excluding any funny business like stock buybacks) and he makes $50k before taxes but after living expenses. That $500k is worth 1/600th of their annual income and so should be 1/600th of his: $250. Multiply that by as much as 10 due to the severity of his actions (or divide by as much as 10) and you’ve got $2500 in damages. Much more reasonable.

Bit rough going the opposite way, but fair’s fair.

Tacking systems together with databases is not what I would call a human-brain analog or AGI.

Agreed, and either of those are more than a system with persistent memory.

I expect a plastic network with self modifying behavior in near real time along with the ability to expand at or arbitrarily alter any layer. It would also require a self test mechanism and bookmarking system to roll back any unstable or unexpected behavior using self generated tests.

I think it would be wise for such a system to have a rollback mechanism, but I don’t think it’s necessary for it to qualify as a human brain analog or AGI - I don’t have the ability to roll back my brain to the way it was yesterday, for example, and neither does anyone I’ve ever heard of.

self modifying behavior in near real time

I don’t think this is realistic or necessary, either. If I want to learn a new, non-trivial skill, I have to practice it, generally over a period of days or longer. I would expect the same from an AI.

Sleeping after practicing / studying often helps to learn a concept or skill. It seems to me that this is analogous to a re-training / fine-tuning process that isn’t necessarily part of the same system.

[An AGI] will not involve external code.

It’s unclear to me why you say this. External, traditional code is necessary to link multiple AI systems together, like a supervisor and a chatbot model, right? (Maybe I’m missing how this is different from invoking a language from within the LLM itself - I’m not familiar with Forth, after all.) And given that human neurology is basically comprised of multiple “systems” - left brain, right brain, frontal node, our five senses, etc. - why wouldn’t we expect the same to be true for more sophisticated AIs? I personally expect there to be breakthroughs if and when an AI that is trained on multi-modal data (sight + sound + touch + smell + taste + feedback from your body + anything else of relevance) is built (e.g., by wiring up people with sensors to pull down that data), and I believe that models capable of interacting with that kind of training data would comprise multiple systems.

At minimum you currently need an external system wrapped around the LLM to emulate “thinking,” which my understanding is something ChatGPT already does (or did) to an extent. I think this is currently just a “check your work” kind of loop but a more sophisticated supervisor / AI consciousness could be much more capable.

That said, I would expect an AGI to be able to leverage databases in the course of its work, much the same way that Bing can surf the web now or ChatGPT can integrate with Wolfram — separate from its own ability to remember, learn, and evolve.

What stupid bullshit. There is nothing remotely close to an artificial general intelligence in a large language model.

Correct, but I haven’t seen anything suggesting that DABUS is an LLM. My understanding is that it’s basically made up of two components:

1. An array of neural networks
2. A supervisor component (that its creator calls a “thalamobot”) that manages those networks, notices when they’ve come up with something worth exploring further. The supervisor component can direct the neural networks as well as trigger other algorithms.

EDIT: This article is the best one I’ve found that explains how DABUS works. See also this article, which I read when first writing this comment.

Other than using machine vision and machine hearing (“acoustic processing algorithms”) to supervise the neural networks, I haven’t found any description of how the thalamobot functions. Machine vision / hearing could leverage ML but might not, and either way I’d be more interested in how it determines what to prioritize / additional algorithms to trigger rather than how it integrates with the supervised system.

This person is a crackpot fool.

As far as I can tell, probably, but not necessarily.

There is no way for a LLM to have persistent memory. Everything outside of the model that pre and post processes infor is where the smoke and mirrors exist. This just just databases and standard code.

Ignoring Thaler’s claims, theoretically a supervisor could be used in conjunction with an LLM to “learn” by re-training or fine-tuning the model. That’s expensive and doesn’t provide a ton of value, though.

That said, a database / external process for retaining and injecting context into an LLM isn’t smoke and mirrors when it comes to persistent memory; the main difference compared to re-training is that the LLM itself doesn’t change. There are other limitations, too. But if I have an LLM that can handle an 8k token context where the first 4k is used (including during training) to inject summaries of situational context and of topics/concepts that are currently relevant, and the last 4k are used like traditional context, then that gives you a lot of what persistent memory would. Combine that with the ability for the system to retrain as needed to assimilate new knowledge bases and you’re all the way there.

That’s still not an AGI or even an attempt at one, of course.

Standards compliance and interoperability is a lot more important than slightly more rounded message boxes in a walled-garden app

More important to whom? Not to the people I message, that’s for sure.

Did you read the article?

The agency clarified that AI will be used to initiate investigations into 75 of the largest U.S. partnerships that document assets that exceed $10 billion on average.

It will reportedly be used to target hedge funds, real estate investment partnerships, and law firms who may have skirted the rules, amounting to roughly 1,600 taxpayers in total who “owe hundreds of millions of dollars in taxes.”

An old, sub-$100 PC isn’t going to be able to read 4K blurays, and if you only want a regular bluray reader then those drives are even cheaper.

If you have a spare USB 3 port and a spare power outlet, then you can get an external 4K Bluray drive for $100 or less.

Lightning cables had, and have, substantial advantages over micro-USB:

• More durable ports
• Reversible connector
• More pins for data - micro USB wasn’t usable for their docks, for example
• Fast enough charging to be able to charge the iPad - 12W at the time (and substantially more now) vs 9W at best (generally 2.5-5W) for micro-USB
• Many existing micro USB cables are terrible, i.e., they only support charging (no data) or they only support charging at 2.5W

They can still connect it to you by

• gathering data on the device you use for setup
• gathering data based off your wifi connection, local network, IP address, etc..
• disambiguating from other possible matches based off height and other data they can access on the headset

And even if it were anonymous, it’s very reasonable to be opposed to them having the data they can collect from the headset. Using a Facebook headset is basically like using a Facebook phone that also happens to track the movement of your head and both arms and your responses to more immersive stimulus.

You missed the part where the employee was the one saying it was important, not the boss. And a lot of those tasks aren’t things you can just hand off to a new person, anyway - e.g., tech debt on software.

This is so much better.

The first paragraph of the OP article is obviously a poorly rewritten version of the first paragraph of this one (the “I’m nearly as old as an actual gargoyle” line actually makes sense in yours), and it looks like that’s true for the rest of it. Yeesh.

I hope you’re not actually as rude to retail workers, waitstaff, and other members of the service industry as your comments make you seem like you’d be

Pressing unfinished games is a trade-off and a lesser evil than instead choosing to distribute games digital only. One alternative would be to delay all launches until multiple months after the game is considered “ready,” but that would likely impact revenue streams in a way that the people making those decisions would never agree to. It would also upset the 80% of the market who buy games digitally - why should their release be delayed?

Would you prefer for physical releases to not be available until 3-6 months after the digital release (and more frequently, for there to be no physical release at all)?

I’ve experienced this and also read reports of it with GoDaddy. But I cannot say the same for Namecheap - I’ve searched for several domain names multiple times through Namecheap and never noticed a price increase (outside of a sale ending and/or the search being multiple weeks later, at which point it makes sense). I’ve also never seen any detailed reports of this happening with Namecheap, and if I’ve seen any at all, I can’t remember them. I have occasionally searched for a domain name that was later unavailable, but that happens infrequently enough that I doubt it’s due to Namecheap doing something nefarious.

Pretty sure they meant “as a noun” since almost nobody complains about the use of female/male as adjectives. The OP had it used as a noun, after all.

Women necessarily are human, but “females” assuredly are not. If someone refers to “a female” they are most likely referring to an animal, likely livestock. They could also be referring to a particular type of electronics adapter or something along those lines, though. They’re probably not talking about an adult human woman.

Apple devices with Safari only.

Google pays Apple over 30 times what they pay Mozilla ($15 billion vs $450 million - both annually in 2021) to make the Google search engine the default in their browser.