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When doctors and scientists want to see inside a body, magnetic resonance imaging (MRI) is a powerful tool. MRI can noninvasively capture detailed images of the body’s muscles, organs, and bones. It can monitor blood flow to generate a map of brain activity. And with new sensors developed by bioengineers at MIT, MRI can track the kinds of molecules that make our brains and bodies work.
In the May 13 issue of the journal Nature Biomedical Engineering, a team led by Alan Jasanoff, the Eugene McDermott Professor in the Brain Sciences and Human Behavior at MIT, reports on their new sensors, which can brighten or dim MRI signals in response to specific molecular targets. The probes are designed to amplify the effect that each target molecule has on MRI signal, dramatically improving sensitivity over previous small-molecule sensors.
Jasanoff, who is also an associate investigator at the McGovern Institute for Brain Research, says the approach his team used should enable the development of MRI sensors that detect neurotransmitters and other important molecules in the brain.
Researchers with the University of Cincinnati and Johns Hopkins Medicine developed a potential treatment for brain cancer that uses nanofibers embedded with a combination of drugs that work in concert to target tumors. The drugs proved more effective in combination than when administered alone and can provide both immediate and long-lasting doses to kill cancer cells.
“In our study, a three-drug combination showed strong synergistic effects across multiple glioblastoma models and significantly improved survival in animal studies,” said Daewoo Han, an assistant professor in UC’s College of Engineering and Applied Science and lead author of the paper published in ACS Biomaterials Science & Engineering.
Han and Distinguished Research Professor Andrew Steckl incorporated the drugs into electrospun fiber membranes, creating a nanofiber drug delivery system. Steckl’s NanoLab at the University of Cincinnati is a leading developer of this technology that uses an electric field to create a multilayered fiber mesh for drug delivery, among other uses. “This combination is pretty powerful,” Steckl said.
In an international trial spanning 11 countries, the injection was offered to patients whose cancer had spread or come back and whose disease had failed to respond to other treatments.
The jab, called amivantamab, shrank the tumours of more than a third of patients, with dramatic changes seen within weeks. In 15 of them, doctors found the drug had melted away their tumours altogether.
Kevin Harrington, professor in biological cancer therapies at the Institute of Cancer Research, London (ICR), said: These are unprecedentedly strong responses in patients whose disease has become resistant to both chemotherapy and immunotherapy.
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Roman Yampolskiy has spent two decades being right about things people wished he wasn’t — and in this conversation, he’s not here to scare you, but to be precise. He makes the case that AI alignment isn’t merely unsolved but fundamentally under-defined: no agreed-upon values, no way to formalize them even if there were, and no mechanism for enforcing them on something smarter than its creators. His strongest argument isn’t a doom scenario, it’s that you cannot indefinitely control something smarter than you.
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TIMESTAMPS:
00:00:00 — Defining General Intelligence.
00:05:58 — AI Instrumental Convergence.
00:11:11 — The Orthogonality Thesis.
00:16:15 — Escaping the Simulation.
00:21:45 — Principle of Indifference.
00:27:51 — Acquired Savant Syndrome.
00:33:51 — LLM Internal States.
00:41:02 — AI Safety Impossibility Results.
00:47:16 — Public Misconceptions.
00:53:21 — Existential vs. Suffering Risks.
01:01:20 — AI Alignment Definition Crisis.
01:09:28 — Computational Irreducibility.
01:16:20 — Substrate Independence.
01:22:50 — Philosophical Zombie Critique.
01:29:57 — The Cassandra Paradox.
01:37:35 — Religion and Simulation.
01:46:03 — Digital Physics Evidence.
01:51:20 — Limits of Control.
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Roman’s Papers: https://scholar.google.com/citations?…
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Roman’s Twitter: https://x.com/romanyam.
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AI Identity [Paper]: https://philarchive.org/archive/ZIETPO-7
Basic AI Drives [Paper]: https://selfawaresystems.com/wp-conte…
Qualia in Agents [Paper]: https://arxiv.org/abs/1712.04020
Orthogonality Thesis [Paper]: https://nickbostrom.com/superintellig…
Escape the Simulation [Paper]: https://www.researchgate.net/publicat…
Could This AI Be Conscious? [Article]: https://unherd.com/2026/05/is-ai-the–…
Impossibility Results in AI [Paper]: https://arxiv.org/abs/2109.00484
When AIs Act Emotional: • When AIs act emotional.
Hacking the Simulation [Paper]: https://philarchive.org/rec/YAMHTS-2
Autonomous Machine Intelligence [Paper]: https://openreview.net/pdf?id=BZ5a1r–…
Hinton on Maternal Instincts [Article]: https://fortune.com/2025/08/14/godfat…
Singleton Hypothesis [Paper]: https://nickbostrom.com/fut/singleton.
New Kind of Science [Book]: https://amazon.com/dp/1579550088?tag=…
On AI Controllability [Paper]: https://arxiv.org/abs/2008.04071
Universe as Numerical Simulation [Paper]: https://arxiv.org/abs/1210.1847
Nir Lahav [TOE]: • The Physicist Rethinking the Hard Problem.
Joscha Bach [TOE]: • Joscha Bach: Time, Simulation Hypothesis,…
Bas Van Fraassen [TOE]: • Bas van Fraassen: Why Science Doesn’t Reve…
Simulation Hypothesis [TOE]: • Why I Don’t Buy the Simulation Hypothesis.
Geoffrey Hinton [TOE]: • Why The \
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