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#mole

4 posts3 participants0 posts today

I find it amazing how unwilling people are to accept that current "#AI" tech (including the "LLM" tech that I call #MOLE Training) is not intelligent, by any meaningful definition of the word. The nonsense arguments they use to wriggle out of this conclusion are nothing if not creative.

Most common is the consensus reality wriggle; more people talk as if they think Trained MOLEs are intelligent, therefore they are. So if most people think perpetual energy is possible, then it is? Nope.

(1/?)

"... the release of OpenAI’s ChatGPT launched an international conversation about how generative artificial intelligence—i.e., AI capable of producing text, images, video, and more—could transform our lives."

#ZeveSanderson, #SolomonMessing,
#JoshuaATucker, 2024

brookings.edu/articles/misunde

The lie that this artificial paint-by-numbers involves "intelligence" has been repeated constantly by the industry hype machine. It's worrying when even academics uncritically parrot this lie.

Brookings · Misunderstood mechanics: How AI, TikTok, and the liar’s dividend might affect the 2024 elections
Continued thread

However, until such time as we can compile and run our own #MOLE on our own hardware, completely independent of the entities that developed the code and weights for them, they remain toys. Just like Free Code Linux and *BSD kernels were until they could be independently compiled on commodity hardware and OS.

Unless and until we get to that place, increased use of Trained MOLEs just hands over more of our power to whoever controls the hardware they're "trained" and run on.

(3/3)

"We analyzed every instance of AI use in elections collected by the WIRED AI Elections Project, which tracked known uses of AI for creating political content during elections taking place in 2024 worldwide. In each case, we identified what AI was used for and estimated the cost of creating similar content without AI."

#SayashKapoor, #ArvindNarayanan, Dec 2024

aisnakeoil.com/p/we-looked-at-

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AI Snake Oil · We Looked at 78 Election Deepfakes. Political Misinformation is not an AI Problem.By Sayash Kapoor

Bestial Human Mole
Hand drawn Ink art by William McAusland, writing by Colin Chapman

With their velvety fur, tiny eyes, squat builds, and overlarge shovel-like hands, bestial human moles are inoffensive, but this belies the fact that they are aggressive, constantly hungry omnivores who prefer a diet of meat.
outlandarts.com/expansionrules

#mole #moleman #rodent #beast #bestial #manimal #RPG #ttrpg #bestialhuman #characters #noaiart #williammcausland #wasteland #mutantepoch #apocalyptic #expansionrules #postapocalyptic #themutantepoch #outlandsystem #outlandarts #mutants #mutant #epoch #inkartist #Kamloopsartist #apocalyptic #fallout like #gammaworld#humanoidanimal #roleplayinggame #indiegame #characterdesign

"DataPeak is transforming the way businesses manage their data. Our intuitive, no-code platform empowers every team member to automate workflows, analyze data, and unearth actionable insights—whether you're tech-savvy or new to the data game and bid farewell to depending on software developers or data scientists."

factr.me/

Yes, instead of the work of developers and scientists, which can be documented and repeatable, you want to depend on the work of a Trained #MOLE 🤦‍♂️

DataPeak | Agentic AI SaaS & No-Code AutomationDataPeak|Agentic AI SaaS & No-Code Automation|AI driven data workflow automation|FactRDataPeak’s intuitive, no-code platform simplifies data management, workflow automation, and the instant, easy creation of AI Agents.
Continued thread

Outsourcing to consultants might be cheaper when they know you could get the work done in-house, and price their time accordingly. But what if you can't? What if your organisation has become totally dependent on outside consultants to even understand the job, let alone carry it out? Then they can charge what they want.

The same is true whether the consultant is a human specialist, or a Trained MOLE marketed as an "AI" specialist.

(2/2)

"Remedies already being discussed in New Zealand include extending prohibitions in the Harmful Digital Communications Act to cover digital replicas that do not depict a victim's actual body.

Using (or amending) the Crimes Act, the Fair Trading Act and the Electoral Act would also be helpful.

At the same time, there will be political pressure to ensure regulation does not stymie investment in AI technologies ..."

#GraemeAustin, #JaneCGinsburg, 2025

rnz.co.nz/news/on-the-inside/5

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RNZ · Deepfakes can ruin lives and livelihoods - would owning the 'rights' to our own faces and voices help?By Graeme Austin and Jane C Ginsburg*

"DeepSeek used a 'mixture of experts' model. Which means rather than training one large model, they trained tens of smaller ones, on more specific data, that then gets switched on and off as needed."

#PatrickBoyle, 2025

creators.spotify.com/pod/show/

To the degree that #MOLE Training will be a useful technology in the long term, I think this is how it will be used. Models that are intensively trained on narrow areas to create niche expert systems. The AGI talk is pure sales hype.

Spotify for CreatorsDeepSeek - How a Chinese AI Startup Shook Silicon Valley by Patrick Boyle On FinanceOn Monday, over a trillion dollars was wiped off the US stock market due to the appearance of a Chinese artificial intelligence start-up DeepSeek. The release of a new reasoning model, known as R1, led investors to question US dominance in tech, their expectations around future AI capex while also raising the prospect that China might beat Silicon Valley at its own game. The new DeepSeek model can “reason” to solve complex problems and performs as well as the AI software from US tech giants like Google and OpenAI, but was apparently developed at a fraction of the price of those models. DeepSeek quickly overtook OpenAI’s ChatGPT as the most-downloaded free app on the US iOS App store. Patrick's Books: Statistics For The Trading Floor: https://amzn.to/3eerLA0 Derivatives For The Trading Floor: https://amzn.to/3cjsyPF Corporate Finance: https://amzn.to/3fn3rvC Ways To Support The Channel: Patreon: https://www.patreon.com/PatrickBoyleOnFinance Buy Me a Coffee: https://www.buymeacoffee.com/patrickboyle Visit our website: https://www.onfinance.org Follow Patrick on Twitter Here: https://bsky.app/profile/pboyle.bsky.social Business Inquiries ➡️ sponsors@onfinance.org
Continued thread

Almost 4 months ago I had a rant about GovGPT, a Trained #MOLE being hyped up by Callaghan Innovation. I predicted that;

> the useless critter will eventually be canned. But not before millions of dollars of public money vanish into the pockets of MOLE trainers

What I didn't predict was that Callaghan Innovation itself would be canned;

rnz.co.nz/news/national/542298

(1/?)

RNZ · Callaghan Innovation shutdown: 'Trying to build a plane as we're falling off a cliff'By Mary Argue
Replied in thread

Great thread @fasterandworse. Both blockchains and Trained #MOLE are notable examples.

I'd add, as a corollary, that there is a knee-jerk tendency to dismiss an elegant mechanism as useless, once it's exposed as *not* being universally useful. Forgetting the niche uses for which it was designed, and for which it may still be the best solution.

Replied in thread

@cestfleuve
> a computer can never be held accountable so a computer must never make decisions

Agreed. The only reason to hand over decision-making to a Trained #MOLE is to dodge responsibility for the consequences of decisions made.

Also, no existing computer system can make actual decisions. A Trained #MOLE just simulates them, by making statistical guesses. Not the same thing, at all.

@BobLefridge