Dell CEO Michael Dell has donated $750 million to the University of Texas at Austin, marking one of the largest donations ever made to a public university in the United States. The gift will help fund a new healthcare and research campus, including what the university describes as the country’s first artificial intelligence-native hospital.
Materials list with full instructions: https://www.sciencebuddies.org/science-fair-projects/project…ytid=ZmejS…
Further Reading.
Thumbnail image credit: Not alive, but not dead… FEATURED SCIENCE ARTICLE.
Brain background: Nexorg.
Brain organoid images: Elke Gabriel.
Not alive, but not dead: disembodied human brains used for drug testing.
https://www.science.org/content/artic…
Restoration of brain circulation and cellular functions hours.
https://pubmed.ncbi.nlm.nih.gov/30996…
Vascularizing organoids-on-chip for perfused and personalized models.
https://pubs.rsc.org/en/content/artic…
Startup Testing Drugs on Freshly Extracted Human Brains That Are Kept On Life Support.
https://futurism.com/health-medicine/.…
Cerebral organoids transplantation repairs infarcted cortex and restores impaired function after stroke https://www.nature.com/articles/s4153…
A talk given during the Principles of Intelligence (PIBBSS) workshop in Boston in October 2025.
An eagerly awaited and controversial clinical trial to ‘wind back the clock’ on aging cells in the eye and restore them to a more youthful state has officially begun.
This week, the United States biotechnology company Life Biosciences, Inc. announced that it had dosed its first patient with an experimental therapy designed to reverse age-related vision loss.
The ambitious idea is to turn back aging by activating three genes in retinal ganglion cells, which connect the brain to the eyes.
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Microsoft just announced the Majorana 2 — a topological quantum chip with qubits 1,000 times more reliable than its predecessor. I got exclusive access to Microsoft’s quantum lab in Copenhagen and sat down with Chetan Nayak (Director of Quantum Hardware at Microsoft) to find out what actually changed, whether the results hold up, and what this means for the timeline to a useful quantum computer.
0:00 — Microsoft Announce Majorana 2
1:07 — How Quantum Computers Actually Work.
3:12 — The Case for Topological Qubits.
4:10 — How to Build a Topological Qubit.
8:06 — Ad break.
9:45 — What Changed in Majorana 2
13:05 — Why Lead Beats Aluminium.
14:33 — When Are We Getting a Quantum Computer?
Microsoft Announcement: https://quantum.microsoft.com/en-us/i… Paper: https://arxiv.org/abs/2606.03884 A note Microsoft shared with me on the retracted 2018 paper: “In 2018, an independent university research paper that drew funding from several sources including Microsoft, was retracted by Nature. The research was not conducted by Dr. Chetan Nayak or any members of the Microsoft team leading the work on the Majorana 1.” My Patreon:🚀 / drbenmiles My Instagram:
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arXiv Paper: https://arxiv.org/abs/2606.
A note Microsoft shared with me on the retracted 2018 paper: \.
Google DeepMind just dropped a massive paper called From AGI to ASI, and the message is bigger than another AI release. The paper argues that AGI may not be the finish line everyone is waiting for. It may be the moment the real race begins. Once human-level AI can be copied, sped up, connected into agent teams, and used to build better AI, the jump after AGI could matter even more than AGI itself.
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🚀 New Channel: / @space.revolution.
📌 What You’ll See:
Google DeepMind’s new From AGI to ASI paper.
SOURCE: https://deepmind.google/research/publ… 2026 framework for tracking progress toward AGI SOURCE: https://blog.google/innovation-and-ai… DeepMind’s approach to AGI safety and security SOURCE: https://deepmind.google/blog/taking-a… Demis Hassabis on AI agents and the road to AGI SOURCE: https://www.axios.com/2026/05/26/deep… The Legg and Hutter paper behind formal machine intelligence SOURCE: https://arxiv.org/abs/cs/0605024 🚨 Why It Matters This is bigger than another AI paper. Google DeepMind is already talking about what happens after AGI. If human-level AI can be copied, sped up, connected, and used to build better AI, then intelligence itself could become an industrial process. #ai #agi #deepmind.
The full technical paper on arXiv.
SOURCE: https://arxiv.org/abs/2606.12683
DeepMind’s earlier framework for measuring AGI progress.
SOURCE: https://deepmind.google/research/publ…
Google’s 2026 framework for tracking progress toward AGI
SOURCE: https://blog.google/innovation-and-ai…
DeepMind’s approach to AGI safety and security.
SOURCE: https://deepmind.google/blog/taking-a…
Demis Hassabis on AI agents and the road to AGI
SOURCE: https://www.axios.com/2026/05/26/deep…
The Legg and Hutter paper behind formal machine intelligence.
SOURCE: https://arxiv.org/abs/cs/0605024
🚨 Why It Matters.
This is bigger than another AI paper. Google DeepMind is already talking about what happens after AGI. If human-level AI can be copied, sped up, connected, and used to build better AI, then intelligence itself could become an industrial process.
#ai #agi #deepmind