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The cost effectiveness of bots is key to the magnitude of impact of the Economic Singularity. Watch this cheap bot as companies find profitable use cases and unemployment rises.


Unitree unveiled a new video of its G1 robot performing acrobatic feats, as part of its lead up to production.

Cerebras has set a new record for AI inference speed, serving Llama 3.1 8B at 1,850 output tokens/s and 70B at 446 output tokens/s.

@CerebrasSystems has just launched their API inference offering, powered by their custom wafer-scale AI accelerator chips.

Llama 3.1 8B provider analysis:


Analysis of API for Llama 3.1 Instruct 8B across performance metrics including latency (time to first token), output speed (output tokens per second), price and others. API benchmarked include Microsoft Azure, Amazon Bedrock, Groq, Together.ai, Perplexity, Fireworks, Cerebras, Lepton AI, Deepinfra, and OctoAI.

What does the future hold? What will become of this planet and its inhabitants in the centuries to come?
We are living in a historical period that sometimes feels like the prelude to something truly remarkable or terribly dire about to unfold.
This captivating video seeks to decipher the signs and attempt to construct plausible scenarios from the nearly nothing we hold in our hands today.
As always, it will be scientific discoveries leading the dance of change, while philosophers, writers, politicians, and all the others will have the seemingly trivial task of containing, describing, and guiding.
Before embarking on our journey through time, let me state the obvious: No one knows the future!
Numerous micro and macro factors could alter this trajectory—world wars, pandemics, unimaginable social shifts, or climate disasters.
Nevertheless, we’re setting off. And we’re doing so by discussing the remaining decades of the century we’re experiencing right now.

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DISCUSSIONS \& SOCIAL MEDIA

Commercial Purposes: [email protected].
Tik Tok: / insanecuriosity.
Reddit: / insanecuriosity.
Instagram: / insanecuriositythereal.
Twitter: / insanecurio.
Facebook: / insanecuriosity.
Linkedin: / insane-curiosity-46b928277
Our Website: https://insanecuriosity.com/

Credits: Ron Miller, Mark A. Garlick / MarkGarlick.com, Elon Musk/SpaceX/ Flickr.

00:00 Intro.
01:20 Artificial Intelligence.
02:40 2030 The ELT telescope.
03:20 2031 The International Space Station is deorbited.
04:05 2035 The cons.
04:45 2036 Humans landed on mars.
05:05 2037. The global population reaches 9 billion.
05:57 2038 2038. Airplane accident casualties = 0
06:20 Fusion power is nearing commercial availability.
07:01 2042 Supercomputers.
07:30 2045 turning point for human-artificial intelligence interactions.
08:58 2051 Establishment of the first permanent lunar base.
09:25 2067 The first generation of antimatter-powered spacecraft emerging.
10:07 2080 Autonomous vehicles dominate the streets.
10:35 2090 Religion is fading from European culture.
10:55 2099 Consideration of Mars terraforming.
11:28 22nd century Moon and Mars Settlements.
12:10 2,130 transhumanism.
12:41 2,132 world records are shattered.
12:57 2,137 a space elevator.
14:32 2,170 By this year, there are dozens of human settlements on the Moon.
15:18 2180
16:18 23rd century Immortality.
16:49 2,230 Hi-Tech and Automated Cities.
17:23 2,310 23rd Century: Virtual Reality and Immortality.
18:01 2,320 antimatter-powered propulsion.
18:40 2,500 Terraforming Mars Abandoned.
19:05 2,600 Plastic Cleanup.
19:25 2,800 Silent Probes.
19:37 3,100 Humanity as a Type 2 Civilization.

#insanecuriosity #timelapseofthefuture #futuretime

Summary: Researchers developed a brain-inspired AI technique using neural networks to model the challenging quantum states of molecules, crucial for technologies like solar panels and photocatalyst.

This new approach significantly improves accuracy, enabling better prediction of molecular behaviors during energy transitions. By enhancing our understanding of molecular excited states, this research could revolutionize material prototyping and chemical synthesis.

Organoid intelligence (OI) is an emerging scientific field aiming to create biocomputers where lab-grown brain organoids serve as ‘biological hardware’

In their article, published in Frontiers in Science, Smirnova et al., outline the multidisciplinary strategy needed to pursue this vision: from next-generation organoid and brain-computer interface technologies, to new machine-learning algorithms and big data infrastructures.

https://www.frontiersin.org/journals/.

Citation:

Picking up a box and placing it in a neat pile is not an impressive action in itself for a robot; understanding an enigmatic human command and correctly deciphering and explaining the decision-making process, are definitely innovations. Digit owes parts of its progress to the generative artificial intelligence revolution that also reached the field of robotics and turned expectations from it on its head. “I’ve been asked what’s the biggest thing in 2024 besides language modeling — it’s robotics. Period,” Nvidia’s senior AI scientist Jim Fan wrote in December. “We’re about three years away from a ChatGPT moment for physical AI agents,” he explained.

Ever since Fan made this statement, it seems that everyone is talking about the “ChatGPT moment of robotics”, or the hope of a technological breakthrough that will push the field forward and finally fill our homes with intelligent humanoid robots to help us with household chores, wash the floor, set the table or do the laundry (but not fold it). “What has been happening in recent months is dramatic,” explains Amir Bousani, CEO of R-Go Robotics, which recently entered into a partnership with Nvidia to equip the robot it is developing with its spatial perception capabilities. “The physical world is more difficult than the internet,” notes Dr. Oren Etzioni, founding CEO of the Allen Institute for Artificial Intelligence, “but the field of robots that have the ability to behave in general is running much faster today.”

The huge interest in humanoid robots, or humanoids, which Fan is talking about, is evident in the constant announcements in the field: in February, the startup Figure raised $675 million from Jeff Bezos, Nvidia, and OpenAI for the development of the humanoid. In March, Nvidia’s CEO stood on the stage of the company’s developer conference alongside nine humanoids from different companies and announced that building models for robots is “one of the most exciting problems to solve in artificial intelligence”; in April, Elon Musk promised that he would launch the humanoid robot he is developing — Optimus — next year and predicted that by 2040 there will be a billion humanoids among us. A short time later, the activities of Mentee Robotics, Amnon Shashua’s company that was founded two years ago and also develops the humanoid, went public.

“My main life work, along with basic science, has been building our Wolfram language computational language for the purpose of having a way to express things computationally that’s useful to both humans and computers,” Wolfram told TechCrunch.

As AI developers and others start to think more deeply about how computers and people intersect, Wolfram says it is becoming much more of a philosophical exercise, involving thinking in the pure sense about the implications this kind of technology may have on humanity. That kind of complex thinking is linked to classical philosophy.

“The question is what do you think about, and that’s a different kind of question, and it’s a question that’s found more in traditional philosophy than it is in the traditional STEM,” he said.