Medina-Serpas et al. provide a public spatial transcriptomic atlas of pancreas and pLN comprising defined stages of human T1D. Cross-platform validation revealed pancreatic inflammation and elevated lymphotoxin-β expression as a signature of T1D, persistent across tissues. These data support therapeutic targeting of the lymphotoxin/TNF pathway in T1D.
The age old myth of postmortem production!
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The biggest news in cosmology in recent years is that the mysterious universe-accelerating entity we call dark energy may be fading away. The evidence for this is now strong enough that enormous effort is going into confirming this result. So what’s it going to take, and when are we going to know?
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Reality has cracks in it. Universe-spanning filaments of ancient Big Bang energy, formed from topological defects in the quantum fields, aka cosmic strings. They have subatomic thickness but prodigious mass and they lash through space at a close to the speed of light. They could be the most bizarre undiscovered entities that actually exist.
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This is exactly why the benchmarks I propose in the book matter so much. Defining AGI and ASI is not semantics; it determines which architectures we are trying to align, how long top-down control mechanisms remain useful, and when we must shift our focus toward developmental and integrative approaches such as the AGI Naturalization Protocol and merge-based alignment.
In SUPERALIGNMENT, I argue that no single strategy is sufficient. Today’s control-based alignment is indispensable, but only as an early scaffold. Ethical-emotional development is necessary, but only as a middle phase. Merge-based alignment becomes increasingly relevant as humans and artificial minds begin to co-evolve within shared cognitive ecosystems. The triadic structure matters because each phase corresponds to a distinct level of intelligence maturity: constraint, cultivation, and convergence.
In my framework, AGI is not a static point but a continuum of cognitive emergence: from embodied agency to disembodied abstraction, from classical computation to quantum cognition, and from reactive behavior to phenomenological self-awareness. The benchmarks provide the conceptual anchors for intervention. They tell us when control may still be enough, when cultivation becomes necessary, and when convergence between human and synthetic minds becomes the more realistic path to Superalignment.
You are used to thinking of time as a straight line: past behind you, present under your feet, and future stretching endlessly ahead. Clocks tick, calendars flip, and your life seems to march forward in one clean direction. But when you start looking closely at what physics and philosophy actually say about time, that simple picture starts to wobble in surprising and sometimes unsettling ways.
Once you let go of the idea that time must be linear, a whole new universe of possibilities opens up. You begin to wonder whether the past is really gone, whether the future might already exist, and whether your sense of “now” is just a useful illusion. In this article, you’ll explore some of the strangest, most well-supported ideas about time from modern science, and you’ll see how they quietly challenge your everyday experience without requiring you to believe in magic.
If you pause and ask yourself what “now” actually is, you probably feel like the answer is obvious: it’s the present moment you’re living in. But when you compare your “now” with someone else’s “now” far away, the certainty starts to crack. Relativity theory tells you that what counts as “simultaneous” events depends on how you’re moving, so two observers in different states of motion won’t agree on what is happening at the same time.
Engineers at Northwestern University have created printed artificial neurons that go beyond imitation and can directly interact with real brain cells. These flexible, low-cost devices produce electrical signals that closely resemble those generated by living neurons, allowing them to activate biological brain tissue.
In experiments using slices of mouse brain, the artificial neurons successfully triggered responses in real neurons. This result shows a new level of compatibility between electronic devices and living neural systems.
Shape of the universe and Cosmological Constant.
🚨 The Biggest Problem in Physics (Cosmological Constant) https://lnkd.in/gt7tEpJw ❓ Problem: Why is the Universe accelerating… and why is the value so unbelievably small? Observations (supernovae, CMB, BAO) show: 👉 The expansion is accelerating 👉 This requires a cosmological constant Λ From Einstein’s equation: Λ = 8πG ρ_Λ 😳 But here’s the crisis: Quantum physics predicts vacuum energy: ρ_vac ≈ M_Pl⁴ But observations give: ρ_Λ ≈ 10⁻¹²⁰ M_Pl⁴ 💥 That’s a mismatch of 120 orders of magnitude This is called the cosmological constant problem 🧠 Standard thinking fails because: We assume: 👉 Energy fills space uniformly 👉 Λ comes from summing quantum fluctuations ρ_vac = (1/V) Σ (½ ℏωₖ) But this diverges → way too large ❌ 💡 A different perspective (EWOG insight): Instead of asking: 👉 “What is the energy of empty space?” Ask: 👉 “What is the geometry of the Universe?