Toggle light / dark theme

This video shows the fly model reproducing a flight maneuver (spontaneous turning) of a real fly, executing commands to walk at a speed of 2 cm/s while turning left and right, and the model imitating a walking trajectory of the real fruit fly, which includes walking at different speeds, turning and briefly stopping. Credit: Vaxenburg et al.

By infusing a virtual fruit fly with artificial intelligence, Janelia and Google DeepMind scientists have created a computerized insect that can walk and fly just like the real thing.

The new virtual fly is the most realistic simulation of a fruit fly created to date. It combines a new anatomically accurate model of the fly’s outer skeleton, a fast physics simulator, and an artificial neural network trained on fly behaviors to mimic the actions of a real fly.

Calum and David recently attended the BGI24 event in Panama City, that is, the Beneficial General Intelligence summit and unconference. One of the speakers we particularly enjoyed listening to was Daniel Faggella, the Founder and Head of Research of Emerj.

Something that featured in his talk was a 3 by 3 matrix, which he calls the Intelligence Trajectory Political Matrix, or ITPM for short. As we’ll be discussing in this episode, one of the dimensions of this matrix is the kind of end goal future that people desire, as intelligent systems become ever more powerful. And the other dimension is the kind of methods people want to use to bring about that desired future.

So, if anyone thinks there are only two options in play regarding the future of AI, for example “accelerationists” versus “doomers”, to use two names that are often thrown around these days, they’re actually missing a much wider set of options. And frankly, given the challenges posed by the fast development of AI systems that seem to be increasingly beyond our understanding and beyond our control, the more options we can consider, the better.

Apple acquired Canada-based company DarwinAI earlier this year to build out its AI team, reports Bloomberg. DarwinAI created AI technology for inspecting components during the manufacturing process, and it also had a focus on making smaller and more efficient AI systems.

DarwinAI’s website and social media accounts have been taken offline following Apple’s purchase. Dozens of former DarwinAI companies have now joined Apple’s artificial intelligence division. AI researcher Alexander Wong, who helped build DarwinAI, is now a director in Apple’s AI group.

Devin, SIMA, Figure 1, all in 24 hours. What does it mean and are AI models taking the wheel? I’ll go through 5 relevant papers and 11 articles to get you all the relevant details, from what exactly Devin accomplished, and didn’t, to DeepMind’s new AGI-attempt-in-3D (SIMA) to just how far AI agents have come and what that means for the future of jobs. They’ll also be a guest star … discussing … me?

AI Insiders [Exclusive videos, Discord, Interviews and More]: / aiexplained.

Devin: https://www.cognition-labs.com/blog.
Devin YT: • AI trains an AI!
SWE-bench: https://arxiv.org/pdf/2310.06770.pdf.
Cognition Twitter: / with_replies.
Reality Check: / 1768056098995814836
Karpathy Tweet: / 1767598414945292695
Bloomberg: https://www.bloomberg.com/news/articl
Chollet Prediction: / 1767935813646716976
https://magic.dev/
SIMA: https://deepmind.google/discover/blog
SIMA Paper: https://storage.googleapis.com/deepmi
MobileAgent: https://arxiv.org/pdf/2401.16158.pdf.
OpenAI Agent: https://www.theinformation.com/articl
Red Dead Redemption AI: https://arxiv.org/pdf/2403.03186.pdf.
RT-X: https://deepmind.google/discover/blog
Figure 1 Hz: / 1767928771875868677
MasterPlan: https://www.figure.ai/master-plan.
Unit Cost: https://www.cnbc.com/2024/02/29/robot
MMMU: https://arxiv.org/pdf/2311.16502.pdf.
https://github.com/MMMU-Benchmark/MMMU
Jeff Clune Tweet: / 1768320487627579466
Semianalysis: https://www.semianalysis.com/p/ai-dat
Huang AGI Quote: https://www.reuters.com/technology/nv
Altman Quote: https://www.marketingaiinstitute.com/.
US Govt Report: https://twitter.com/jeffclune?ref_src

AI Insiders: / aiexplained.