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Comment AI = 6 fingers and 3 legs = untrustworthy (Score 1) 76

The "AI photos" with too many body parts a few years back gave "AI" a bad name.

From the hallucinations and confident-but-wrong output of 2025's text-AI-chatbots, this bad reputation is still deserved.

For most people, It will take a few years of trust-able output from AI before people accept it as mature enough to use without sanity-checking its output.*

* When the day comes that people mostly "blindly trust" AI output we may all be in trouble. That day is probably within the next 5-10 years, maybe sooner.

Comment 1984 (Score 4, Insightful) 36

It would direct the Federal Trade Commission to investigate whether state AI laws that "require alterations to the truthful outputs of AI models" are blocked by the FTC Act.

And of course, guess who gets to decide what is "truthful".

Someone needs to explain why Republicans are so afraid of the truth.

Comment Re:What is the number of processes... (Score 1) 72

Sorry, I took a shortcut with the definition.

The longer version is something most people can make at home with things most people already have in their kitchen.

This assumes sugar, butter, milk, fresh fruit, fresh vegetables, dried pasta, spices, cut or ground meat, etc. aren't processed enough to "count" as ultra-processed foods.

Comment To be fair to the idiots in charge (Score 1) 230

The Texas outbreak started before the change in administration.

That said, the decision to immunize or not immunize may have been made during the first administration of said idiots.

Personally, I blame this epidemic on over-amplification of a long-since-discredited paper in a major medical journal in the late 1990s.

As for the over-amplification: The idiots in charge aren't helping.

Comment Why is CDC still helping? (Score 3, Funny) 230

...officials from the Centers for Disease Control and Prevention confirmed to state health departments that the ongoing measles outbreak at the border of Arizona and Utah is a continuation of the explosive outbreak in West Texas...

Why are there still competent people at CDC who are able to do this? Anyone who knows anything about anything, was supposed to have been fired months ago and replaced by incompetent flunkies.

Commander Putin's orders have been very clear about completely disarming all American capability, whether it's in our health systems, military, or infrastructure. Who is the pro-American traitor in our midst, disobeying orders to destroy the USA?

If we're going to disobey Putin's orders, then won't he kill or embarrass our president? That must not be allowed to happen!!

Comment Re:Does this mean it'll stop sucking? (Score 1) 25

I found GP2.5 to be great at academic-style research and writing; it was absolutely awful at writing code. So; I would tell it to plan some thing for me and write it in a way that could be used by another agent (Claude Code) to build the code to do the thing. In this way, it has been great! I haven't yet attempted it with 3.

That said, I found GP3.0's page to be hilarious:

It demonstrates PhD-level reasoning with top scores on Humanityâ(TM)s Last Exam (37.5% without the usage of any tools) and GPQA Diamond (91.9%). It also sets a new standard for frontier models in mathematics, achieving a new state-of-the-art of 23.4% on MathArena Apex.

It then proceeds to show, lower down on the page, an example of what it can do, by showing off 'Our Family Recipes". If there's anything that touts PhD-level reasoning and writing, it's a recipe book.

Submission + - The AI Bubble That Isn't There (forbes.com)

smooth wombat writes: Michael Burry recently said he believes the AI market is in a bubble. Why should anyone listen to him? He's the guy who famously predicted the subprime mortgage crisis and made $100 million for himself, and $725 million for his hedge fund investors, by shorting the mortgage bond market. Will he be right in his most recent prediction? Only time will tell, but according to Jason Alexander at Forbes, Burry, and many others, are looking at AI the wrong way. For him, there is no AI bubble. Instead, AI is following the pattern of the electrical grid, the phone system and yes, the internet, all of which looked irrational at the time. His belief is people are applying outdated models to the AI buildout which makes it seem an irrational bubble. His words:

The irony is that the “AI bubble” narrative is itself a bubble, inflated by people applying outdated analogies to a phenomenon that does not fit them. Critics point to OpenAI’s operating losses, its heavy compute requirements and the fact that its expenses dwarf its revenues.

Under classical software economics, these would indeed be warning signs. But AI is not following the cost structures of apps or social platforms. It is following the cost structures of infrastructure.

The early electrical grid looked irrational. The first telephone networks looked irrational. Railroads looked irrational. In every major infrastructural transition, society endured long periods of heavy spending, imbalance and apparent excess. These were not signs of bubbles. They were signs that the substrate of daily life was being rebuilt.

OpenAI’s spending is no more indicative of a bubble than Edison’s power stations or Bell’s early switchboards. The economics only appear flawed if one assumes the system they are building already exists.

What we are witnessing is not a speculative mania but a structural transformation driven by thermodynamics, power density and a global shift toward energy-based intelligence.

The bubble narrative persists because many observers are diagnosing this moment with the wrong conceptual tools. They are treating an energy-driven transformation as if it were a software upgrade.

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