Ale𝕩ander Moore, CPA 🇺🇸

📌 Follow the @Scobleizer aka Robert Scoble and be sure to check out his 𝕏 Lists. 🍄 x.com/scobleizer/lis… 🏁 💡From topics and domains that generate economic productivity, spark hobbyist interests, emerging technology breakthroughs and the spectrum of hardware, software, and AR/VR or XR at the intersection of robotics. 💡Scoble's 𝕏 Lists are the closest thing to an intelligent + lived experienced knowledge base alpha database for science, technology, and creative discipline ontologies. These lists were recursive before most of the world knew what that word meant. 🔔His donation of countless years contributing to the timeline but also in spaces should earn him a Bell Award. He has certainly earned my nomination for quality content on X (and any social media platform for that matter). #bellaward @adiboaron94 🔔This award is unique in that it objectively looks at the creator, the individual content produced and the perceived value to the platform without consideration for follower or subscriber counts. **I know he has a lot of followers which is a social proof in itself, but this is a different path into very high value small accounts.** 💡It's a great starting point for the average user, but a frontier of truly infinite possibilities if you have access to the 𝕏 API. 💡Real-time tracking, tagging, account IDs, organization, a data repository one could see as social value agnostic of bias from follower count. These can be a foundation for additional hierarchies of attributions and qualitative keywords; think of it like a game of ontological cross-domain 'connect the dots' if you will. 💡My main utility in being drawn to the library of lists (aside from an excellent source for inherently high quality 𝕏 Pro inputs) is the wide userbase that can find their own niche content in curating a project or customizing their 𝕏 user experience. 💎If 𝕏 were to have a graph database with @neo4j overlay to further dive into these lists, that would be a cool project and a feature I'd probably use often. XR capabilities would be neat, obviously further the road along with 3D displays (with no glasses) to view the GraphQL-type relationships. @engineering @XCreators @premium

As AI takes on longer, higher-stakes tasks, we want models to carry beneficial and safe behavior into new domains beyond their training—and maintain it under pressure. That’s the idea behind our new research on training models to be broadly and persistently beneficial. alignment.openai.com/beneficial-rl/

TON 618 aka Tonantzintla 618 was initially documented in 1957 during a survey of faint blue stars by Mexican astronomers Braulio Iriarte and Enrique Chavira. 🔭 66 billion solar masses. it is a hyperluminous quasar forcing astrophysicists to reexamine black hole growth and consider new classifications such as “ultramassive” extending beyond current growth models. we observe it 10.4 billion years in the past when the universe was only 3.4 billion years old. something is missing… #blackholes #astrophysics @NASAWebb @NASAHubble @elonmusk

@MarcusErve @rohanpaul_ai 😂 we just copy and pasted airplane propellers.

@rohanpaul_ai makes so much more mechanical sense than those humongous windmills...

Vertical wind turbine in a rural hilly region of China. These blades allow operation independent of wind direction changes. China's wind turbines generated nearly 990 TWh of electricity in 2024, almost double the roughly 450 TWh produced in the US.

@rohanpaul_ai China’s quantum computing lead over us is quietly a similar story…

The White House and Anthropic may have found the first serious path to restore Mythos and Fable access without pretending jailbreaks can be eliminated. AI regulation may be shifting from vague fear to a benchmark based tests of model failure, because completely removing absolutely all jailbreak is probably not a possible target. The proposed framework would score how far the bypass went, what capabilities became reachable, how repeatable the attack was, and whether the exposed behavior had real operational consequences. Both sides are now moving toward a shared way to score what a jailbreak actually means. The hard truth is that perfect immunity is probably the wrong target; a recent red-team study found even hardened frontier models still produced confirmed harmful completions under sustained automated attack, with Fable 5 remaining more robust than Opus 4.8 but not invulnerable. So once, for a newly released model, the governments can ask the same questions every time, how much was bypassed, what capability was exposed, how reproducible was the attack, and what damage could follow, thats a much more practical path.

@jasonkneen looks like my movement on a dance floor

Come a long way from this! :)

Satisfying Math Behind the Spherical Pendulum! Witness the mesmerizing beauty of classical mechanics with this spherical pendulum simulation. As the mass swings, it traces a complex path, illustrating the delicate balance between gravity and centripetal forces. This video showcases the governing differential equations that define this motion, highlighting the conservation of angular momentum around the vertical axis. Explore the fascinating intersection of science and art through the lens of computational physics and geometry. #physics #mamim #math #chaos #pendulum

I quantum mechanics, particles are described by a wave function, which provides probabilities for different possible outcomes rather than predicting a single definite result.

Just caught up with the recent GLM-5.2 release. The best open-weight model today. Architecture-wise, it's build on the GLM-5 and GLM-5.1 architecture that I covered previously, which means it's reusing the Multi-head Latent Attention (MLA) and DeepSeek Sparse Attention (DSA) mechanisms from DeepSeek V3.2. (I wrote about it here: magazine.sebastianraschka.com/p/technical-de…) What's new is that they added an IndexShare mechanism. (That's a cross-layer reuse trick for DSA where instead of recomputing the sparse-attention top-k indexer in every layer, GLM-5.2 runs the full indexer only once every four layers and lets the following layers reuse those selected token indices. This keeps the same DSA idea but makes 1M-token inference much cheaper.)

Run system commands and AI coding agents directly inside MATLAB desktop and Simulink Canvas ➡️ spr.ly/6014BDONQo - Run CLI tools without leaving MATLAB and Simulink - Launch your AI coding agents from a terminal docked in MATLAB or Simulink. - Free and open source

"Variable-Width Transformers" This paper shows that width should be allocated unevenly, with models wide at the start and end but narrow in the middle. So the bottleneck forces better use of representations instead of wasting capacity in collapsed middle layers. The "> Translate

English

8

74

434

31.9K

294

@playmatejaylene lmao

hi from my new online dating pfp 🎣

New in Claude Code: Artifacts. Interactive pages built from your session, like a PR walkthrough or a living project dashboard, shared with your team at a private link. Available in beta on Team and Enterprise plans.

QUANTUM MECHANICS · Probability Current Several quantum packets move through the same 2D field. Each packet is a wavefunction ψₐ(x,y,t), evolving by i∂ψₐ/∂t = [-½∇² + V(x,y,t) + gρ(x,y,t)]ψₐ. The total probability density is ρ = Σₐ |ψₐ|². The flowing threads show the total probability current: J = Σₐ Im(ψₐ*∇ψₐ). The dotted particles ride the velocity field v = J / ρ. So the dots are following the actual quantum flow. As the packets overlap, scatter, and reshape one another, the current stretches into luminous ribbons, curls into vortices, and braids through interference regions. It is incredible that all of this comes from a complex wavefunction evolving through Schrödinger’s equation. #QuantumMechanics #SchrodingerEquation #ProbabilityCurrent #Wavefunction #MathematicalPhysics #Mathematics

@CryptoStorm__ miami envy

hii gmmm goodmorningggg ☀️

The center of the Milky Way has long shown an unexplained surplus of gamma rays, known as the Galactic Center Excess. This signal is roughly spherical and extends across thousands of light-years, which makes it especially interesting because that kind of shape is broadly compatible with what some models predict from dark matter annihilation. But there has always been another possible explanation: the glow could come from a large population of unresolved astrophysical sources, especially millisecond pulsars, which are rapidly rotating neutron stars capable of producing gamma rays. The difficulty is that the Galactic Center is one of the most complicated regions of the gamma-ray sky. It is bright, crowded, and filled with diffuse emission from ordinary astrophysical processes. Previous analyses had suggested that the excess looked more like a collection of faint point sources than a smooth dark matter signal. That weakened the dark matter interpretation, because point sources would naturally point toward pulsars or other compact objects. A new study revisits this problem using a machine-learning method trained on more than one million simulated gamma-ray observations. The key difference is that the researchers did not only examine where the photons appear in the sky. They also included the energy of each detected photon, combining spatial and spectral information in a single analysis. That extra information changes the interpretation significantly. When photon energies are included, the point sources required to explain the Galactic Center Excess would have to be much fainter than previous studies implied. In fact, they would be so faint that their combined emission would become almost indistinguishable from a genuinely diffuse signal, like the one expected from dark matter annihilation. If the excess is caused by pulsars, the study suggests that the Galactic Center would need to contain at least around 35,000 such sources, and possibly many more, far above the few hundred or few thousand often invoked in earlier models. This does not prove that dark matter is responsible for the gamma-ray glow. The authors are careful about that. What it does show is that one of the strongest arguments against dark matter, namely that the excess clearly looks like unresolved point sources, becomes much weaker once photon energies are taken seriously. The result keeps the dark matter hypothesis alive, not as a confirmed discovery, but as a scientifically plausible explanation that cannot yet be dismissed. In my opinion this is a genuinely interesting result because it does the right thing scientifically: it does not oversell dark matter, but it also refuses to close the door too early. The Galactic Center Excess has always been vulnerable to systematic uncertainties, especially foreground modelling and source confusion. A method that combines spatial and spectral information is more physically informative than one that only looks at morphology. Still, the result should be read cautiously. Machine learning can improve inference, but it cannot remove the underlying astrophysical complexity of the Galactic Center. For me, the important message is not “dark matter found”, but “the pulsar explanation is less clean than it looked, and the dark matter explanation remains viable”. 👉 share.google/nV3uMRNYeAa5iY…

🚨: Your Consciousness can enter alternate dimensions while you’re dreaming, scientist claims. Our consciousness may come from a higher dimension

A nuclear powered rover on an alien planet, 140 million miles away captured this. This is Sol 3070 on Mars.

From the intrinsic evidence of his creation, the Great Architect of the Universe now begins to appear as a pure mathematician. - Sir James Jeans, The Mysterious Universe (1930)