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AI at the speed of light just became a possibility

Researchers at Aalto University have demonstrated single-shot tensor computing at the speed of light, a remarkable step towards next-generation artificial general intelligence hardware powered by optical computation rather than electronics.

Tensor operations are the kind of arithmetic that form the backbone of nearly all modern technologies, especially , yet they extend beyond the simple math we’re familiar with. Imagine the mathematics behind rotating, slicing, or rearranging a Rubik’s cube along multiple dimensions. While humans and classical computers must perform these operations step by step, light can do them all at once.

Today, every task in AI, from image recognition to , relies on tensor operations. However, the explosion of data has pushed conventional digital computing platforms, such as GPUs, to their limits in terms of speed, scalability and energy consumption.

AI Bubble

A lot of people are talking about an AI bubble since it is normal for tech to explode in growth for a while, then collapse a bit, and then eventually move forward again.

WE ARE NOT IN AN AI BUBBLE. THE SINGULARITY HAS BEGUN.

There will not be a year between now and the upcoming AI takeover where AI data center spending will decline worldwide.

From Data to Physics: An Agentic Large Language Model Solves a Competitive Adsorption Puzzle

We show that an agentic large language model (LLM) (OpenAI o3 with deep research) can autonomously reason, write code, and iteratively refine hypotheses to derive a physically interpretable equation for competitive adsorption on metal-organic layers (MOLs)—an open problem our lab had struggled with for months. In a single 29-min session, o3 formulated the governing equations, generated fitting scripts, diagnosed shortcomings, and produced a compact three-parameter model that quantitatively matches experiments across a dozen carboxylic acids.

Software optimizes brain simulations, enabling them to complete complex cognitive tasks

A new software enables brain simulations which both imitate the processes in the brain in detail and can solve challenging cognitive tasks. The program was developed by a research team at the Cluster of Excellence “Machine Learning: New Perspectives for Science” at the University of Tübingen. The software thus forms the basis for a new generation of brain simulations which allow deeper insights into the functioning and performance of the brain. The Tübingen researchers’ paper has been published in the journal Nature Methods.

For decades, researchers have been trying to create computer models of the brain in order to increase understanding of the organ and the processes that take place there. Using , they have simulated the behavior and interaction of nerve cells and their compounds.

However, previous models had significant weaknesses: They were either based on oversimplified neuron models and therefore strayed significantly from biological reality, or they depicted the biophysical processes within cells in detail, but were incapable of carrying out similar tasks to the brain.

Elon Musk Just Changed Everything at Tesla — And No One’s Talking About It

Elon Musk just made a bold announcement that could completely redefine Tesla’s future — but almost no one noticed. At the 2025 Tesla Shareholder Meeting, Elon revealed a deeper vision that goes far beyond cars. From AI and humanoid robots to clean energy and automation, Tesla is positioning itself as the driving force behind humanity’s next great leap.

In this video, Chris Smedley and the Ideal Wealth Grower team break down the hidden message behind Elon’s words, why the singularity may already be unfolding, and how Tesla’s shift toward artificial intelligence could reshape the global economy — and your investment strategy. Stay tuned till the end to discover why this could be the most important turning point in Tesla’s history.

Know what Type of Business suits you first at https://quiz.franchisewithbob.com/rg — and COPY THE RIGHT BUSINESS FOR YOU!

Thanks, Franchise with Bob, for sponsoring this episode!

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AGI Unbound with Joscha Bach: Consciousness and the future of Intelligence

AGI Unbound Series.

A series of focused interviews with the most interesting and impactful thought leaders in the field. We press on first principles—how they define core ideas in their domain, how they see the present, and where they believe intelligence is headed. Brought to you by SingularityNET and the AGI Society.

About this interview — Joscha Bach.
In this kickoff episode, cognitive scientist Joscha Bach explores consciousness as a coherence-forming learning process, argues for a computational view of mind, and outlines why machine consciousness should be treated as a testable hypothesis rather than a slogan. He discusses the California Institute for Machine Consciousness, contrasts today’s “idiot-savant” AI with developmental intelligence, sketches futures from universal basic intelligence to post-human infospheres, and offers frank advice to new researchers on pursuing bold, technically grounded work.

#AGI #AI #Consciousness #SingularityNET #AGISociety #JoschaBach #DecentralizedAGI

SingularityNET was founded by Dr. Ben Goertzel with the mission of creating a decentralized, democratic, inclusive, and beneficial Artificial General Intelligence (AGI). An AGI is not dependent on any central entity, is open to anyone, and is not restricted to the narrow goals of a single corporation or even a single country.

The SingularityNET team includes seasoned engineers, scientists, researchers, entrepreneurs, and marketers. Our core platform and AI teams are further complemented by specialized teams devoted to application areas such as finance, robotics, biomedical AI, media, arts, and entertainment.

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