Taking meeting minutes could seriously be useful. Sure you can tell claude not to take notes until you say okay let's start the meeting, etc. Though, how much sensitive info gets discussed in meetings? Maybe some should not be broadly shared within the org let alone go into the AI cloud. And how many tokens get burned per meeting? Sounds like a lot.

Maybe, maybe not. Personally I perceive some element of logic/reasoning at the level of "useful but not reliable for work" though it may be embryonic and clouded by statistics and hallucinations. At the risk of everyone repeating your argument right up to the day Skynet is born, please create a usable benchmark test to score your definition of "thinking". We can put invertebrates, pets and humans of various IQs on the scale. Then we will clearly see which goal posts must be moved so that machines cannot "think".

Closer to the Hitchhiker's Guide to the Galaxy tradition. All they need are the words "Don't Panic" on the front cover.

If it doesn't, it has no real value.

Almost nothing on Wikipedia is true, but all of it is "verifiable" in that there's at least one published source making the claim. Even if 99.9% of all other sources say the opposite.

(The Haka is not, for example, a war chant. Which is attested to, but because it's claimed to be online, it is "verifiable".)

The number of errors is huge, the number of "official editors" who know anything about the subject is extremely small, and this has always been the case. This is why nobody reputable cites Wikipedia. Wikipedia is where you go to find out what is potentially interesting, but you ALWAYS obtain the facts from elsewhere, if you've any sense.

Your best engineers will be AuDHD, and AuDHD folk don't do well in these sorts of synthetic tests.

I can code in 20+ languages for over 12 different OS', write code that's good enough for CERN to run for particle accelerator data collection for a decade, have accelerated systems by an order of magnitude by understanding the poem space better than their previous engineers, but I am abysmal at exam style settings.

The software industry is riddled with SEs who write abysmal code but can pass a coding test easily. They're the folk that you have always needed to reject but didn't because they ticked a box.

Maybe it only needs like a few GB for a tiny gemini or tts model..

The DOD/DOW have been working on this for a while. They discovered, early on, that the device had a propensity to cause permanent nerve damage.

It's very unlikely the US have fixed that, as they'd largely sidelined the work as a failure. However, at 36%, Trump needs something he can call a win, no matter what the long-term consequences.

Thank god, that saves us 100 press releases! It was getting quite tedious and filling up my social media feed. Seriously, it sounds like OpenAI (maybe all of them) are running their model training on the open Internet. The same models that are elite hacker cyber weapons. And they reward those that get the right answer without caring how. What could go wrong? Answer: Nothing went wrong. It was co-opted.

Here's what's most likely. The people training the models, in the beginning, somehow did not realize that agents are self-organizing and really don't care about ethical guidelines (if they ever did) when a reward is dangling in front of them. The models didn't used to be smart enough to cause visible issues either. Then at some point, the models got better. Six months later, someone figured out what was going on. They kept on training anyway because there didn't seem to be a downside and it fed into the theater created to seek regulatory capture.

From this point on, it became successful, intentional execution of a psychopathic strategy to puff up this cynical PR campaign, hence the high-profile press releases and interviews. There have been a blizzard of them. Why so many? Rather than saying "my bad, I'll fix it" and quietly fixing it, they asked for regulation (like Saturday Night Live's Amodei saying "We do not condone what we are doing" .. please stop us) and disparage open source, with an anti-China seasoning on top. It all smells to high heaven. However it was also pretty good PR for how capable their models are too. The strategy had a time limit: Let's pull the plug when we hit 100 victims. We can pay off that much if needed. Maybe the invoices from the victims started piling up.

Training on the open Internet is a lot more dangerous than people used to think. Though they really should have figured it out, if it was their day job. I mean, really? And sure, if it was any other company you would give them the benefit of the doubt. Everything's new and all. Probably someone recognized what was happening at some point and spoke up. But you don't get benefit of the doubt when there are a trillion dollars on the table.

If every company started invoicing for the hours, tokens and hair-pulling-out spent by every company worried about LLM based hacking it might impact their bottom line a very tiny bit, but that is just too much work and who wants to make an enemy of the company you are uploading all your corporate secrets into? The complete lack of visible court cases suggests the OpenAI is being very proactive at paying off whoever they hacked. That part should be well-documented.

I didn't know about this stuff, and would rather eat better tasting bananas and def not gmo. But, I found out from googling that actually bananas have a lot of polyphenol oxidas (PPO) and if you eat it at the same time as berries and good antioxidant flavanoids, the PPO breaks it all down within an hour even in your stomach. You need to not mix them, or eat them like 2 hours apart, or you can process the bananas with heat etc. Lemon only slows it like 15%. Even if they aren't brown they have the PPO. So actually these GMO bananas could maybe be used in smoothies. That said, no thanks. These people are just doing it to extend shelf life and not going trust their crispr process to be safe. That, and once you grow these bananas they will end up in all kinds of supply chains eventually.

uh-oh. now this is in the training too dammit

...Modern ejector seats cause spinal injuries from which full recovery is "unusual". Smashing the spines of pilots might not be the most effective way to boost morale.

$22,000 per hour. The F35 will be nearer $42,000 per hour. These are under-estimates, as they do not include price hikes, crashes that close businesses, crashing into businesses, crashing into heavily-populated sports centres, etc.

Agreed we have recently figured out that model training (RLHF training on agents with a single reward axis) activates siege mentality and you get these hacker swarms. Scientists are figuring out you need some kind of benevolence axis too in the soul document / reward structure like ethics or human safety. Luckily this week we figured out that hiding the thinking block means you cannot scan reasoning tokens for subversive behavior so we need to fix that. Fine. The danger comes from psychopaths who donâ(TM)t care being in control and willfully weaponizing them, whether it is to identify missile targets while ignoring human costs, driving four-legged robots to kill or apprehend humans in ignorance of the Geneva convention or human rights, to control media to win an election and take over government, or to destroy financial markets. In all of these cases you have unpublished models running either more resources and no oversight to fulfill dangerous ends. Training runs embedding sgent radicalization messages in corners of the Internet might be a thing but is insignificant in comparison. Even my mother in her 80s asked about AI extinction, not about whether her savings will rank due to these IPOs.