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SCIENTISTS TURN LIGHT INTO A MEMORY SYSTEM Scientists built a tiny photonic chip and sent identical photons through it, expecting messy quantum behavior. Instead, the light started acting like a memory system, forming patterns that match a classic AI model used for associative memory. In simple terms, the interference...

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29,578 просмотров • 5 месяцев назад •via X (Twitter)

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SCIENTISTS TURNED LIGHT INTO A SUPERSOLID — AND BROKE PHYSICS (AGAIN) For the first time ever, scientists made light act like a supersolid — meaning it’s somehow solid and flows like a liquid at the same time. (Physics said “rules? never heard of ’em.”) This could open the door to crazy new tech, wild quantum experiments, and maybe even... teleportation. Basically, we just unlocked a new cheat code for the universe — and we’re only just getting started. Source: Nishant Science
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SCIENTISTS TURNED LIGHT INTO A SUPERSOLID — AND BROKE PHYSICS (AGAIN) For the first time ever, scientists made light act like a supersolid — meaning it’s somehow solid and flows like a liquid at the same time. (Physics said “rules? never heard of ’em.”) This could open the door to crazy new tech, wild quantum experiments, and maybe even... teleportation. Basically, we just unlocked a new cheat code for the universe — and we’re only just getting started. Source: Nishant Science

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SCIENTISTS FROZE LIGHT FOR 60 SECONDS AND THAT'S NOT EVEN THE WILD PART Scientists just froze light. Not slowed it. Froze it. For 60 full seconds. That’s enough time for it to circle Earth over 7 times and stop. But here’s where your brain melts: they fired it into a photon-ex semiconductor, dropped it to near absolute zero, and boom, light became a super solid. Liquid and solid. At once. No friction, no rules. Think hard light shields, zero-resistance transport, quantum computing precision boosts. This isn't sci-fi. This is physics bending reality. Source: shaikenofficial
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Thomas Young's double-slit experiment, performed in 1801, is one of the most important demonstrations in physics. It provided strong evidence that light behaves as a wave by producing interference patterns. In the experiment, coherent light is directed at an opaque barrier with two closely spaced slits. The light waves passing through these slits interfere with one another, creating a pattern of bright and dark fringes on a screen positioned behind the slits. The spacing and location of these fringes depend on the light's wavelength, the distance between the two slits, and the distance to the screen. This experiment established the wave nature of light. The modern understanding of wave-particle duality, where light can also behave like particles (photons), developed in the early 20th century with quantum mechanics, and is beautifully illustrated by modern versions of the double-slit experiment performed with individual photons.
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Thomas Young's double-slit experiment, performed in 1801, is one of the most important demonstrations in physics. It provided strong evidence that light behaves as a wave by producing interference patterns. In the experiment, coherent light is directed at an opaque barrier with two closely spaced slits. The light waves passing through these slits interfere with one another, creating a pattern of bright and dark fringes on a screen positioned behind the slits. The spacing and location of these fringes depend on the light's wavelength, the distance between the two slits, and the distance to the screen. This experiment established the wave nature of light. The modern understanding of wave-particle duality, where light can also behave like particles (photons), developed in the early 20th century with quantum mechanics, and is beautifully illustrated by modern versions of the double-slit experiment performed with individual photons.

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SCIENTISTS JUST MADE LIGHT ACT LIKE JELLO Imagine something that’s both a solid and a liquid. Now imagine it’s made of light. Yeah. These scientists basically made light turn into a weird glowing blob that holds its shape and flows. It’s called a “quantum supersolid” and no, you can’t sit on it or drink it, but it’s still insanely cool. They did it by chilling atoms to nearly absolute zero and trapping them in a laser box. Because science. Source: quantoxy_
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SCIENTISTS JUST MADE LIGHT ACT LIKE JELLO Imagine something that’s both a solid and a liquid. Now imagine it’s made of light. Yeah. These scientists basically made light turn into a weird glowing blob that holds its shape and flows. It’s called a “quantum supersolid” and no, you can’t sit on it or drink it, but it’s still insanely cool. They did it by chilling atoms to nearly absolute zero and trapping them in a laser box. Because science. Source: quantoxy_

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SCIENTISTS JUST FOUND OUT HOW METFORMIN REALLY WORKS A new study found metformin acts in the brain by switching off a protein tied to glucose control, not just in the liver or gut. For a drug used for more than 60 years, that is a pretty wild thing to learn this late. Source: NewsForce

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Memory isn’t just a feature in AI, it’s the difference between a system that responds and one that truly understands. In the first episode of The Long Walk, Sudarshan Kamath and I dive into how memory is shaping the next generation of voice agents, and why it’s becoming critical for real enterprise workflows.
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Memory isn’t just a feature in AI, it’s the difference between a system that responds and one that truly understands. In the first episode of The Long Walk, Sudarshan Kamath and I dive into how memory is shaping the next generation of voice agents, and why it’s becoming critical for real enterprise workflows.

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researchers gave a tiny local model human-style memory and its context limit basically stopped existing a team from MBZUAI, Princeton and Weizmann took a 1B model and rebuilt how it reads. instead of attending to everything at once, the model reads in 1,024 token chunks and passes the important stuff forward through an associative memory, the same way you carry the plot of a book between chapters without rereading them. the design mirrors human memory on purpose. full attention inside a chunk works as short-term memory. the module that carries information between chunks works as long-term memory. they even trained it like a person, starting with short easy texts and raising the difficulty gradually, because memory thrown into the deep end learns nothing. the numbers back it up. the normal model burns 40GB of GPU memory on a long document and collapses hard past its limit, dropping from 0.86 to 0.32 accuracy. the memory version holds 0.71 at double that length while using a flat 12GB no matter how long the input gets. it also needs about 30% fewer FLOPs. the part i keep thinking about is that nobody scaled anything here. they didn't build a bigger model, didn't stretch the window, didn't add compute. they looked at how a brain handles a long day and copied the architecture. a model small enough to run on a consumer gpu now survives documents its own architecture used to choke on. we keep treating intelligence as a compute problem. sometimes it's a memory problem.
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researchers gave a tiny local model human-style memory and its context limit basically stopped existing a team from MBZUAI, Princeton and Weizmann took a 1B model and rebuilt how it reads. instead of attending to everything at once, the model reads in 1,024 token chunks and passes the important stuff forward through an associative memory, the same way you carry the plot of a book between chapters without rereading them. the design mirrors human memory on purpose. full attention inside a chunk works as short-term memory. the module that carries information between chunks works as long-term memory. they even trained it like a person, starting with short easy texts and raising the difficulty gradually, because memory thrown into the deep end learns nothing. the numbers back it up. the normal model burns 40GB of GPU memory on a long document and collapses hard past its limit, dropping from 0.86 to 0.32 accuracy. the memory version holds 0.71 at double that length while using a flat 12GB no matter how long the input gets. it also needs about 30% fewer FLOPs. the part i keep thinking about is that nobody scaled anything here. they didn't build a bigger model, didn't stretch the window, didn't add compute. they looked at how a brain handles a long day and copied the architecture. a model small enough to run on a consumer gpu now survives documents its own architecture used to choke on. we keep treating intelligence as a compute problem. sometimes it's a memory problem.

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I used to write scenes I could never film. But today, I just typed one. “A girl walks through falling starlight, humming her own song.” 10 seconds later — OpenArt turned it into a full video, with light, motion, and music that felt like a memory. No crew. No edit. Just imagination in motion. Try it here: #OpenArtMVA
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I used to write scenes I could never film. But today, I just typed one. “A girl walks through falling starlight, humming her own song.” 10 seconds later — OpenArt turned it into a full video, with light, motion, and music that felt like a memory. No crew. No edit. Just imagination in motion. Try it here: #OpenArtMVA

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🇳🇱 AMSTERDAM SCIENTISTS CREATE “CHAMELEON SKIN” THAT CHANGES COLOR WITHOUT PIGMENT Scientists at the University of Amsterdam have developed a new nanomaterial that changes color like a chameleon, using no pigment, no paint, and no electricity. It is made from an extremely thin layer of silicon, about one thousandth the width of a human hair. The surface is cut with patterns so small they are invisible to the eye, inspired by the Japanese art of kirigami, which uses cuts and folds to make flexible designs. When the material stretches, those tiny shapes twist and tilt, changing how light bounces off the surface. The color shift comes from light interference, not chemical dyes. As the spacing between the nanostructures changes, different wavelengths of light cancel or reinforce each other, creating visible color shifts. The same natural physics explains why soap bubbles shimmer with rainbow patterns or why butterfly wings flash blue and green. Lead researcher Davide Ruzzene explained, “By nanopatterning the thin silicon membrane, we made it act as both a mechanical metamaterial and an optical metasurface, letting structure, not pigment, control color.” In simpler terms, the material physically moves and optically transforms at the same time. Because it does not rely on power or fading dyes, it could be used in military camouflage that changes color in motion, medical bandages that show strain or swelling, or flexible displays that never need charging. This is not science fiction but real nanoscience, turning light and motion into a living display. Source: Eugene, PhysOrg

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just as Morgoth lusted for light and beauty—personified by Varda, Arien and Lúthien and embodied by the Silmarils—Sauron craved to bind himself to Galadriel and her light, his own jewel “and the very memory of their radiance was like a gnawing fire in his heart” #theringsofpower
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just as Morgoth lusted for light and beauty—personified by Varda, Arien and Lúthien and embodied by the Silmarils—Sauron craved to bind himself to Galadriel and her light, his own jewel “and the very memory of their radiance was like a gnawing fire in his heart” #theringsofpower

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POV: You woke up, but she stayed, somewhere between the light and your memory, like Ligaya playing softly in the background. It felt like a dream you weren’t ready to leave. The kind where everything is warm, easy… right.
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POV: You woke up, but she stayed, somewhere between the light and your memory, like Ligaya playing softly in the background. It felt like a dream you weren’t ready to leave. The kind where everything is warm, easy… right.

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18,499 просмотров • 4 месяцев назад

ANTHROPIC KILLED THE VECTOR DATABASE AND REPLACED IT WITH A FOLDER no embeddings. no black-box retrieval. no special memory tools. the agent just reads and writes a folder the insight: your agent already knows how to use a filesystem. so Anthropic made long-term memory a directory of small markdown files, mounted straight into the agent's sandbox at /mnt/memory the agent manages it with the tools it already has, bash, read, write, edit, grep, and Anthropic auto-injects a note into the system prompt so the agent always knows the memory is there and where to look the result: > every change is an immutable version: full audit trail, point-in-time recovery, redaction > read-only or read-write per store, so many agents can safely share one memory > workspace-scoped and persistent, memory that survives every session end most teams bolt on a vector DB and pray retrieval works. Anthropic went the opposite way: compiled knowledge as plain, human-readable files you can open, diff, and edit yourself and there's a second layer. Anthropic's "Dreaming" runs offline, reviews past sessions and the store, and rewrites it into a cleaner, higher-signal version. the agent literally consolidates memory in its sleep. bookmark this. the most production-grade agent memory right now is just a well-organized folder, and Anthropic proved it.
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ANTHROPIC KILLED THE VECTOR DATABASE AND REPLACED IT WITH A FOLDER no embeddings. no black-box retrieval. no special memory tools. the agent just reads and writes a folder the insight: your agent already knows how to use a filesystem. so Anthropic made long-term memory a directory of small markdown files, mounted straight into the agent's sandbox at /mnt/memory the agent manages it with the tools it already has, bash, read, write, edit, grep, and Anthropic auto-injects a note into the system prompt so the agent always knows the memory is there and where to look the result: > every change is an immutable version: full audit trail, point-in-time recovery, redaction > read-only or read-write per store, so many agents can safely share one memory > workspace-scoped and persistent, memory that survives every session end most teams bolt on a vector DB and pray retrieval works. Anthropic went the opposite way: compiled knowledge as plain, human-readable files you can open, diff, and edit yourself and there's a second layer. Anthropic's "Dreaming" runs offline, reviews past sessions and the store, and rewrites it into a cleaner, higher-signal version. the agent literally consolidates memory in its sleep. bookmark this. the most production-grade agent memory right now is just a well-organized folder, and Anthropic proved it.

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New course: Agent Memory: Building Memory-Aware Agents, built in partnership with Oracle and taught by Richmond Alake and Nacho Martínez. Many agents work well within a single session but their memory resets once the session ends. Consider a research agent working on dozens of papers across multiple days: without memory, it has no way to store and retrieve what it learned across sessions. This short course teaches you to build a memory system that enables agents to persist memory and thereby learn across sessions. You'll design a Memory Manager that handles different memory types, implement semantic tool retrieval that scales without bloating the context, and build write-back pipelines that let your agent autonomously update and refine what it knows over time. Skills you'll gain: - Build persistent memory stores for different agent memory types - Implement a Memory Manager that orchestrates how your agent reads, writes, and retrieves memory - Treat tools as procedural memory and retrieve only relevant ones at inference time using semantic search Join and learn to build agents that remember and improve over time!
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New course: Agent Memory: Building Memory-Aware Agents, built in partnership with Oracle and taught by Richmond Alake and Nacho Martínez. Many agents work well within a single session but their memory resets once the session ends. Consider a research agent working on dozens of papers across multiple days: without memory, it has no way to store and retrieve what it learned across sessions. This short course teaches you to build a memory system that enables agents to persist memory and thereby learn across sessions. You'll design a Memory Manager that handles different memory types, implement semantic tool retrieval that scales without bloating the context, and build write-back pipelines that let your agent autonomously update and refine what it knows over time. Skills you'll gain: - Build persistent memory stores for different agent memory types - Implement a Memory Manager that orchestrates how your agent reads, writes, and retrieves memory - Treat tools as procedural memory and retrieve only relevant ones at inference time using semantic search Join and learn to build agents that remember and improve over time!

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SCIENTISTS JUST UPGRADED DIAMOND AND IT DID NOT ASK FOR PERMISSION Researchers at Zhengzhou University have produced a pure form of hexagonal diamond, known as lonsdaleite, that tested slightly harder than standard diamond at about 114 gigapascals. The breakthrough settles a decades long debate about whether this structure truly exists in a pure form and opens the door to tougher materials for industrial tools and advanced electronics, though more validation is still needed. After centuries on top, diamond just got quietly outperformed by a lab experiment the size of a crumb. Source: NewsForce
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SCIENTISTS JUST UPGRADED DIAMOND AND IT DID NOT ASK FOR PERMISSION Researchers at Zhengzhou University have produced a pure form of hexagonal diamond, known as lonsdaleite, that tested slightly harder than standard diamond at about 114 gigapascals. The breakthrough settles a decades long debate about whether this structure truly exists in a pure form and opens the door to tougher materials for industrial tools and advanced electronics, though more validation is still needed. After centuries on top, diamond just got quietly outperformed by a lab experiment the size of a crumb. Source: NewsForce

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43,241 просмотров • 5 месяцев назад

The double-slit experiment is a key demonstration in quantum physics that reveals the strange behavior of particles like electrons and photons. In the experiment, particles are fired at a barrier with two slits, and a screen records where they land. If both slits are open and no measurement is made, the particles form an interference pattern, like waves overlapping, even when sent one at a time. This suggests that each particle passes through both slits at once in a state called superposition. However, if detectors are placed at the slits to observe which path the particle takes, the interference pattern disappears. The particles then behave like classical objects, going through one slit or the other. This change in behavior simply from observing the system is known as the observer effect, and it highlights a fundamental principle of quantum mechanics: measurement affects the outcome. The experiment challenges our understanding of reality, showing that at the quantum level, particles don't have definite states until they are observed 🤓
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The double-slit experiment is a key demonstration in quantum physics that reveals the strange behavior of particles like electrons and photons. In the experiment, particles are fired at a barrier with two slits, and a screen records where they land. If both slits are open and no measurement is made, the particles form an interference pattern, like waves overlapping, even when sent one at a time. This suggests that each particle passes through both slits at once in a state called superposition. However, if detectors are placed at the slits to observe which path the particle takes, the interference pattern disappears. The particles then behave like classical objects, going through one slit or the other. This change in behavior simply from observing the system is known as the observer effect, and it highlights a fundamental principle of quantum mechanics: measurement affects the outcome. The experiment challenges our understanding of reality, showing that at the quantum level, particles don't have definite states until they are observed 🤓

𝚃𝙷𝙴 𝚆𝙷𝙸𝚃𝙴 𝚁𝙰𝙱𝙱𝙸𝚃

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