entangled dot cloud
MIT engineers develop a magnetic transistor for more energy-efficient electronics
Transistors, the building blocks of modern electronics, are typically made of silicon. Because it’s a semiconductor, this material can control the flow of electricity in a circuit. But silicon has fundamental physical limits that restrict how compact and energy-efficient a transistor can be.MIT researchers have now replaced silicon with a magnetic semiconductor, creating a magnetic transistor that could enable smaller, faster, and more energy-efficient circuits. The material’s magnetism strongly
The ”JVG algorithm” is crap
Sorry to interrupt your regular programming about the AI apocalypse, etc., and return to the traditional beat of this blog’s very earliest years … but I’ve now gotten multiple messages asking me to comment on something called the “JVG (Jesse–Victor–Gharabaghi) algorithm” (yes, the authors named it after themselves). This is presented as a massive improvement over Shor’s factoring algorithm, which could (according to popular articles) allow RSA-2048 to be brok
A perfectly balanced atom just broke one of nuclear physics’ biggest rules
Physicists have discovered a surprising new “Island of Inversion” in a place no one expected: among nuclei where the number of protons equals the number of neutrons. For decades, these strange regions—where atomic nuclei abandon their usual orderly structure and become strongly deformed—were thought to exist only in highly neutron-rich isotopes far from stability. But experiments on molybdenum isotopes revealed that molybdenum-84 behaves dramatically differently from its close neighbor molybdenu
NASA DART mission reveals asteroids throw “cosmic snowballs” at each other
Asteroids with tiny moons may be quietly trading material across space. Images from NASA’s DART mission revealed faint streaks on the moon Dimorphos—evidence of slow “cosmic snowballs” drifting from its parent asteroid, Didymos. The discovery provides the first direct visual proof that sunlight can spin asteroids fast enough to shed debris that lands on nearby companions. It also shows that near-Earth asteroids are much more active and constantly reshaped than scientists once believed.
Consortium to Build Quantum-Enabled ‘Brain-on-Chip’ Platform for Neurological Drug Discovery and Screening
Platform to detect human-relevant insights for discovery and development of therapies for neurological diseases, ...
Researchers birth a wild new molecule and verify it with quantum computing
An international team of researchers has synthesized a carbon chain molecule with a never-before-seen electronic twist and ...
Quantum memories could help make long-baseline optical astronomy a reality
Create a Physics World account to get access to all available digital issues of the monthly magazine. Your Physics World ...
Material once labeled quantum turns out to be a brand-new state of matter
Researchers at Rice University report that cerium magnesium hexalluminate, a compound with the formula CeMgAl11O19, is not the quantum spin liquid it was long believed to be. In a peer-reviewed study ...
Show HN: OpenGraviton – Run 500B+ parameter models on a consumer Mac Mini
Hi HN,I built OpenGraviton, an open-source AI inference engine designed to push the limits of running extremely large models on consumer hardware.The system combines several techniques to drastically reduce memory and compute requirements:• 1.58-bit ternary quantization ({-1, 0, +1}) for ~10x compression
• dynamic sparsity with Top-K pruning and MoE routing
• mmap-based layer streaming to load weights directly from NVMe SSDs
• speculative decoding to improve generation throughputThese allow mode
Show HN: Nirvana – A TUI YouTube Music Player with a Physics-Based Visualizer
Most CLI players have very rudimentary visualizations, so I focused on creating a "Quantum Spectrum Analyzer"—a high-frame-rate, physics-driven rainbow visualizer that uses gravity-based peak falling and mirrored symmetry.Under the hood, it manages a pool of ffplay instances and uses OS-level process suspension (via ctypes on Windows and signal on POSIX) to provide an "instant-off" pause experience without cutting the audio buffer mid-stream.Check it out here: https:/&#x
Show HN: AI Benchy – AI benchmarks and comparisons
My last submission didn't gain any traction, and since I improved the platform A LOT. I am really happy with how it turned out, I am really focused on small UX things, on desktop it's quite fun to just play around, especially on the model page: <a href="https://aibenchy.com/model/google-gemini-3-flash-preview-medium/" rel="nofollow">https://aibenchy.com/model/google-gemini-3-flash-preview-med...</a>
Show HN: Feedster, an RSS/feed reader focused on discovery and agent integration
Hey HN,I built Feedster for a few reasons:1. I want to spend more time reading people's blogs, long form content, even more traditional digital publications and less time on social media.2. RSS readers have typically felt a lot like Apple Mail circa 2010... Unread counts for every feed, everything in its own discrete view, no means for easily discovering new stuff. Not necessarily a bad thing, but it does make reading content feel like _work_ which is directly opposing goal number 1.3. No o
Ask HN: Anyone else feel this community has changed recently?
I've been on HN under different aliases since 2010 and over the last couple of years I feel like the quality of HN has nosed dived and so has my enjoyment.For the first time ever I questioned today whether I should continue to use HN anymore so I'm writing this partly to explore my own thoughts and to see if anyone else feels similarly.1. AI, AI, AI.I get it. AI is the big thing right now, but I find AI posts fundamentally less interesting than the traditional tech content that used to
Show HN: Kaeso: an OAuth hub for AI agents
Hi HN,I've been working on a project called Kaeso.The idea started fairly simple: I wanted to explore infrastructure around AI agents. While building it, the concept slowly evolved into something more focused on integrations.One problem that keeps appearing when building agent systems is connecting them to real services in a structured and secure way. Every system ends up implementing its own integrations with tools like Google, Slack, GitHub, etc.Kaeso is an attempt to experiment with a un
Show HN: Mog, a programming language for AI agents
I wrote a programming language for extending AI agents, called Mog. It's like a statically typed Lua.Most AI agents have trouble enforcing their normal permissions in plugins and hooks, since they're external scripts.Mog's capability system gives the agent full control over I/O, so it can enforce whatever permissions it wants in the Mog code. This is even true if the plugin wants to run bash -- the agent can check each bash command the Mog code emits using the exact same pred
PhD interrupted by personal safety issues, now publication record is thin
How can I deal with this in front of employers or collaborators without giving exact details, which are private in nature? I asked an AI, and it said giving direct responses was a good idea but I think in cases such as mine people are more likely to victim blame.<p>Other details, I didn’t quit or take a leave so no one knows. I am bringing this question up now because a professor has literally remarked that my publication record is “thin”.
Show HN: Kaeso – infrastructure for connecting AI agents to real services
Hi HN,I've been experimenting with systems built around AI agents recently and ran into a recurring problem: connecting agents to real-world services is still surprisingly fragmented.Every integration tends to require its own authentication flow, token management, permissions handling, and API logic. After a few integrations the architecture becomes more about maintaining service connections than about the agents themselves.Because of that I started building a project called Kaeso.The idea
AI discovers the hidden signal of liquid-like ion flow in solid-state batteries
Solid-state batteries could be safer and more energy-dense than today’s lithium-ion technology, but finding materials that allow ions to move quickly through solid electrolytes has been difficult. Researchers developed a machine learning pipeline that predicts Raman spectra and identifies a distinctive low-frequency signal linked to liquid-like ion motion inside crystals. This signal appears when rapid ion movement temporarily disrupts a crystal’s symmetry. The approach could dramatically speed
This Week’s Awesome Tech Stories From Around the Web (Through March 7)
Artificial IntelligenceWatershed Moment for AI–Human Collaboration in MathBenjamin Skuse | IEEE Spectrum“The 8-dimensional sphere-packing proof formalization alone, announced on February 23, represents a watershed moment for autoformalization and AI–human collaboration. But today, Math, Inc. revealed an even more impressive accomplishment: Gauss has autoformalized Viazovska’s 24-dimensional sphere-packing proof—all 200,000+ lines of code of it—in just two weeks.”BiotechnologyThe Mill
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