This kinda fits here
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Boston Dynamics replaces old hydraulic robot with all new electric humanoid robot.
For almost a decade, Atlas has sparked our imagination, inspired the next generations of roboticists, and leapt over technical barriers in the field. Now it’s time for our hydraulic Atlas robot to kick back and relax. Take a look back at everything we’ve accomplished with the Atlas platform to date.
We are unveiling the next generation of humanoid robots—a fully electric Atlas robot designed for real-world applications. The new Atlas builds on decades of research and furthers our commitment to delivering the most capable, useful mobile robots solving the toughest challenges in industry today: with Spot, with Stretch, and now with Atlas. Stay tuned to see what the world’s most dynamic humanoid robot can really do—in the lab, in the factory, and in our lives.
DEV: Should we make the robot look humane and friendly or showcase how f**ked humans are?
CEO: Nr. 2
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Now it’s in an F-16
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One of my favorite Black Mirror episodes
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They can be even faster with wheels as feet.
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They’d better pay attention to EMI susceptibility when they deploy those things against the dissidents in 2030. There are ways and means, that’s all I’m saying.
Just wrap every thing with aluminum foil.
EMI tends to couple in via cables, and there are a lot of cables in one of those things. Find the right frequency at the right power level, and ka-boom (or at least fzzzzt). Bad dog!
Sure, until they have bugs and…
So a new thing is called multi-agent LLM applications, which assigns multiple LLM agents roles for them to play. This paper/project from China assigned the agents different roles in a game development company, the producers/designers discussed what games to make, and coders writes the code, and the testers tests the game.
They made a bunch of weird rehash of simple games, but at least they came up with what games to make and actually made them.
Francois Chollet, the creator of Keras framework, is holding a AGI (Automatic General intelligence) competition, and the prize money is 1,000,000 USD for the first to answer 85% of the questions correctly. So far the best AI result is 43%.
The test set is basically a series of graphical IQ tests. You are given 4 example questions and answers, and you have to extrapolate the rule, and determine what the answer for the 5th question is going to be.
Francois Chollet thinks that LLM is not going to bring AGI because it ultimately is a memorization based AI, and AGI should involve more reasoning and abstraction.
You can git clone his dataset repo
and open the testing_interface.html with a browser and try some of the questions yourself.
Some are easy, but some tests I couldn’t figure out the logic behind them.
This one for example.
I have one theory that works, but it seems too convoluted.
Llm is nothing more than autocorrect on steroids. Based on how often autocorrect un corrects stuff, you can’t make a agi out of it.
If you want to try these questions without downloading the source code, here’s a hosted version of it.
Soon AI will do same in banks
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