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#hype

6 posts6 participants0 posts today

Just heard of a company starting a year-long program for training their executive & managerial layers in #AI - I wonder how that's going to develop if #OpenAI tanks during that time, which it looks very much like it will, and/or how the course will respond as more & more Big Tech companies start trying to nudge their tentpole offerings under the sofa like an unwelcome Xmas gift as the market reject them...

We've Been Conned: The truth about Big LLM | DoltHub Blog

「 Big LLM is purposefully obfuscating the cost of running LLM's, because if the people actually knew the cost, they'd riot. Well, they wouldn't riot. But they definitely stop believing all the hype surrounding AI and LLMs and especially open-source models 」

dolthub.com/blog/2025-04-09-we

dolthub.com · We've Been Conned: The truth about Big LLMA tongue-in-cheek rant about the high-cost of running LLMs, and why this whole AI situation is starting to seem sketchy.
#ai#llm#energy
Software "agents" were a hype-y topic when I was a graduate student 25 years ago. I wrote one for a class. I feel like what's being called "agents" or "AI agents" these days are even less capable than what seemed possible a quarter of a century (1) ago when I was in school.

What I thought then is still true today: to make something like a software agent legitimately useful for a lot of people would require a large amount of low-level grunt work and non-technical work (2) of the sort that the typical Silicon Valley company is unwilling to do. (3) The technology is the absolute easiest part of this task. Throwing a Bigger Computer at the problem leaves all those other pieces of work undone. It's like putting a bigger engine in a car with no wheels, hoping that'll make the car go.

By the way #AI companies and VCs, I'm available for contract work and have done due diligence research before if you ever want to stop wasting everyone's time and money!

#AI #GenAI #GenerativeAI #LLM #agents #hype #SiliconValley #VentureCapital #dev #tech

(1) Which we've been told repeatedly is essentially infinite time in the tech world.
(2) Establishing semantic data standards and convincing a large enough number of people to implement them being an important component. LLMs do not magically develop protocols and solve all the ETL-style problems of translating among different ones. The Semantic Web didn't really stick for a lot of reasons, but one reason is that it's hard!
(3) Back when I was still in the startup world I was asked several times by VCs to tell them what I thought about some new startup that claimed to be able to magically clean and fuse data. I think they're still very keen on investing in this style of magic, because it requires an intense amount of human labor, but I think where companies landed was invisibilizing low-paid workers in other countries and pretending a computer did the work they did. Which has also been happening for well over a quarter of a century.

🙃 UK creating ‘murder prediction’ tool to identify people most likely to kill | Crime
—The Guardian

“Like other systems of its kind, it will code in bias towards racialised and low-income communities. Building an automated tool to profile people as violent criminals is deeply wrong, and using such sensitive data on mental health, addiction and disability is highly intrusive and alarming.”

theguardian.com/uk-news/2025/a

The Guardian · UK creating ‘murder prediction’ tool to identify people most likely to killBy Vikram Dodd
Continued thread

🧵 …wie oben schon mehrfach ua bei KI darauf hingewiesen & wie bei fast jedem Hype auch, plappert nicht einfach dem Marketing gedankenlos hinterher.

»Man kann es nicht oft genug sagen – Künstliche Intelligenz ist nicht intelligent:
Der Hype um KI-Agenten lässt wieder die Illusion von Intelligenz aufkommen. Dabei ist es doch so einfach: Maschinen sind keine Menschen«

🤨 derstandard.at/story/300000026

DER STANDARD · Man kann es nicht oft genug sagen: Künstliche Intelligenz ist nicht intelligentDer Hype um KI-Agenten lässt wieder die Illusion von Intelligenz aufkommen. Dabei ist es doch so einfach: Maschinen sind keine Menschen