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Comment "We'se can protect ya" (Score 1) 13

If that is the case, then it can best be summarized as "Nice code you've got there. Would be a shame if someone injected a trojan. For a suitable 'donation' we can make sure that doesn't happen. We're not responsible for anything that happens if you don't pay your dues."

It's just another walled garden that developers will have to pay to enter, and consumers will have to pay to use. (And I have full confidence that Google will find a way to make both ends pay.)

Comment Re:Tier 2 time. (Score 1) 248

That may actually be the underlying cause. If the switches were in the "run" position but the latching had not fully engaged, the vibrations of takeoff combined with the spring may have caused them to toggle. In general, the springs are centered on switches, so that would also explain them returning to the "run" position and the tension causes oscillations.

Comment Re:Hmm (Score 1) 34

And unfortunately, thanks to the games like this we ended up with things like the "Verifying that you are a human" interstitial pages from cloud flare, which I am guessing use something like described for Anubis. I hate it and my CPU hates it (spiking to 100% for up to a minute to perform the calculation). You know who doesn't hate it? The bots. They simply act like any browser that has no JavaScript and ignore it.

Oh, and my Noscript (different device) breaks those pages every single time, meaning that I move on to a better source.

Comment Re:That says something about "Hackatons" (Score 1) 179

Indeed, I would not trust a single thing he wrote to be production ready. Are all possible exceptions handled gracefully? Are edge cases incorporated? How do I back up and restore the data of the application without loss? Can I load balance it across multiple data centers internationally located? Does it properly record all authentication, authorization, and action for later audit? Is every resource access properly secured? Will it integrate into our SSO systems? Does it support closed source data stores? Using the audio example, what does it do if I feed it a "song" that is just a combination of all possible frequencies (Nyquist limited) at maximum amplitude for 24 hours? Or one that sweeps through all possible values? What about one that has invalid values? Are all inputs sanitized? I could keep going, but "vibe" coding is *not* programming. It's what I would expect from a completely new developer who just learned what code is. /rant

Comment Re:I've seen this first-hand (Score 1) 51

Fascinatingly, this is an example of why I don't think general computing machines (especially binary based ones) won't be able to reach general intelligence. In formal logic there are only three states a proposition can have: true, false, and undecidable. The liar paradox you mentioned falls into the third category for logic. Sentient beings, however, can still resolve the question of whether 93 Escort Wagon is lying or not sufficiently to decide and act on the result. We use things like "feelings" and "experiences" (both poorly defined from a computing perspective) as input, can use approaches other than formal logic such as risk evaluation, and are able to synthesize new conclusions in the absence of complete data. Computers are excellent at deductive evaluation, where we can say A=B, B=C, therefore A=C. They are terrible at inductive logic, however, which is the foundation of this types of evaluation. For example, the extrapolation that 93 Escort Wagon is intelligent (based on their post history), has not demonstrated a tendency to lie, and is clearly being sarcastic (another inductive conclusion based on your past posts), I can easily reach the conclusion that Jim is incorrect, and further that you are lying as a form of sarcasm not meant to be interpreted literally. From that induction I can therefore deduce that you are, in fact, lying about lying. I can also induce that Jim probably is not a reliable source of information on 93 Escort Wagon. Further, since the most common color of 93 Escort Wagon was a silver/gray (in my observation) I can also guess that you are also sliver/gray, and have a laugh at the incongruence of that conclusion with the assumption that you are, in fact, a human.

Comment Not Fooling Anything (Score 4, Informative) 51

They are not "fooling" anything. They are pushing the statistical model outside the normative space of the training data. Nothing here is reasoning, understanding, or making a false inference (being fooled). These models do *not* think, reason, understand, calculate, problem solve, hallucinate, or perform any other cognitive tasks. They do one thing, and one thing only; given a number (often called a "token") they predict, based on a compressed statistical sampling, the next most likely number. Sometimes they randomize the resultant number within a range of similarly likely possibilities. That is *all* that any of them do. The numbers may represent colors, words, or puppies. That is completely irrelevant to the models. The input layer translates everything to numbers, and the output layer translates n umbers to human parseable representations. And most importantly, any input that is outside the training set breaks the model. That is all.

Comment Re:Predictions = planning ahead (Score 1) 181

I'd be interested to see how much of it is deferral and how much is adaptability. I know that I make decisions now based on what I know now, and frequently adjust or change them as new information becomes available. Sometimes the decision is to defer deciding completely until later when not enough information is available.

Submission + - Record DDoS Pummels Site With Once-Unimaginable 7.3Tbps of Junk Traffic (arstechnica.com)

An anonymous reader writes: Large-scale attacks designed to bring down Internet services by sending them more traffic than they can process keep getting bigger, with the largest one yet, measured at 7.3 terabits per second, being reported Friday by Internet security and performance provider Cloudflare. The 7.3Tbps attack amounted to 37.4 terabytes of junk traffic that hit the target in just 45 seconds. That's an almost incomprehensible amount of data, equivalent to more than 9,300 full-length HD movies or 7,500 hours of HD streaming content in well under a minute.

Cloudflare said the attackers “carpet bombed” an average of nearly 22,000 destination ports of a single IP address belonging to the target, identified only as a Cloudflare customer. A total of 34,500 ports were targeted, indicating the thoroughness and well-engineered nature of the attack. [...]

Cloudflare said the record DDoS exploited various reflection or amplification vectors, including the previously mentioned Network Time Protocol; the Quote of the Day Protocol, which listens on UDP port 17 and responds with a short quote or message; the Echo Protocol, which responds with the same data it receives; and Portmapper services used identify resources available to applications connecting through the Remote Procedure Call. Cloudflare said the attack was also delivered through one or more Mirai-based botnets. Such botnets are typically made up of home and small office routers, web cameras, and other Internet of Things devices that have been compromised.

Comment Re: Doubt (Score 2) 144

Anecdote: I have observed, at least in this area, that many drivers will quite easily use *any* available lane to pass if they think it will save them five seconds of their drive. This includes turn lanes, highway merge lanes, slip roads, etc. On a regular basis (especially on the Interstate highways) I also see people changing two or more lanes, frequently without signaling. The probability of this happening increases with certain makes and colors of car. A red Tesla, for example, has a much higher than average probability of making a thoughtless maneuver.

Comment And they insist on doing so (Score 4, Informative) 41

The worst part of all this is that they will insist on doing it no matter what prompt is used. Even direct clear instructions to not do so don't work. If a person started doing things like that, I would very quickly stop interacting with someone that annoying. And before anyone asks, yes, I do stop interacting with the "AI" LLMs that do that. Strangely, I don't have the same issue with models I run locally.

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