Why this blog?
Until this moment I have been forced to listen while media and politicians alike have told me "what Canadians think". In all that time they never once asked.
This is just the voice of an ordinary Canadian yelling back at the radio -
"You don't speak for me."
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What They Say About SDA
"Smalldeadanimals doesn't speak for the people of Saskatchewan" - Former Sask Premier Lorne Calvert
"I got so much traffic after your post my web host asked me to buy a larger traffic allowance." - Dr.Ross McKitrick
Holy hell, woman. When you send someone traffic, you send someone TRAFFIC.My hosting provider thought I was being DDoSed. - Sean McCormick
"The New York Times link to me yesterday [...] generated one-fifth of the traffic I normally get from a link from Small Dead Animals." - Kathy Shaidle
"You may be a nasty right winger, but you're not nasty all the time!" - Warren Kinsella
"Go back to collecting your welfare livelihood. - "Michael E. Zilkowsky
Skynet is pricey! We must recruit Ah-nold (T2) to save us from this obvious ruse to drain our wallets.
Think Tulips
If you look at things objectively, most of AI development is not living up to the hype. In many cases, the products being developed are solutions in search of a problem they can solve more effectively than conventional, and less computationally expensive software tools. There are, of course, exceptions – mostly relating to language models and photo manipulation, but there isn’t nearly enough value there to justify what people are investing in the market right now. If it walks like a bubble, and quacks like a bubble… it’s a bubble.
But there are a group of powerful individuals and companies, like Google, who aren’t pouring money into AI research and data centers for financial return.
The people who are making the big investments in AI aren’t doing so in order to let people generate memes and funny videos – or even to provide shitty customer service at roughly the same price as hiring humans.
They’re doing so to manipulate information, and to deceive you. And things are moving very quickly. Already there are AI hoaxes being published online every single day. In a couple of years, no one will believe the truthfulness of any photos or videos they see online. And then a variety of governments and NGOs will set themselves up as arbiters of what is real – to protect us from “misinformation”.
Paradoxically, in spite of this, people will have learned the bad habit of querying Grok and ChatGPT as a “fact check” on anything they want to know about. The Murray Gel-Mann effect will let them believe what an AI tells them about current events even when they know it gets the facts wrong about how to fix a kitchen sink.
This is the plan the powerful and power-hungry have concocted to regain control of public perception; to quash citizen journalists; and to control social media.
Right now, the entities that have created these tools and data centers are letting the public play with them – at great expense, while they train their tools – but before long they will no longer be free, and the ones that really counterfeit reality well will only be accessible to a select few.
No one will be sure they know what is real, but they’ll all believe what they’re told.
Yawn.
AI ain’t gonna cut split and stack my firewood.
No, but it will connect you with some illegals who will … extra cheap.
Robots perform surgery.
The Chicoms are putting AI into their robots.
They build robots like cars – quick, fast and in a hurry.
Pay attention.
You can pull the plug on a laptop/tablet but whatchoo gonna do with a HAL with feet and hands?
“whatchoo gonna do with a HAL with feet and hands?”
Power failure?
Just an idea I had.
Did an AI generate this sentence:
“AI compute demand is now growing at over 2 TIMES the rate of Moore’s Law, creating a massive shortage.”
AI demand for computing power is a problem that can be solved by throwing money at it, i.e. buy more processors, you’ll hit an efficiency penalty at some point, since eventually those processors will be further and further from the data they are processing, but in the grand scheme of things that doesn’t much matter.
At some point, we won’t be able to put more transistors on the processors, because they will be too close together and thus might bleed over and fail to control the electrons; the limit approaches about 1nm for semiconductors, and current “best” chips are at about 2nm.
I guess we’d better buy more EVs to offset that carbon footprint…