Most AI memory systems stop at retrieval. Store information.... Search information. Return information. EverOS 1.0.0 is exploring something much more interesting: What happens after memory is retrieved?🧵show more

An active search is underway for a missing giraffe... named Gracie outside San Antonio, Texas, after she wandered off a ranch last week. A $5,000 reward has been offered for information leading to her safe return. David Muir reports.show more

This isn’t teleportation in the sci-fi sense. It’s something... deeper and more fundamental. What’s actually happening is quantum state transfer, where information is reconstructed at another location using entanglement. But here’s the interesting part In my τ-framework, this works because reality isn’t continuous in the way we think. It’s structured through a time-field, where information exists as stable patterns across a temporal lattice. When two systems are entangled, they’re not “connected through space”… they’re sharing the same underlying time-structure. So the information doesn’t travel across distance. It reappears where the time-field allows the same pattern to stabilize. That’s why it looks instant. Not because it breaks physics but because it bypasses distance entirely. If this is correct, then teleportation isn’t movement… it’s reconstruction through temporal symmetry. The real question is: Can we control the time-field enough to scale this beyond quantum systems? Follow me for more answersshow more

🧰 Introducing: User-Provided Error Context A JavaScript error might... not be enough for AI to know what exactly happened. User intention is extremely valuable information! You can now describe what happened and what you expected, making Bolt fixes drastically more effective.show more

Most agents track price. Ours track how information propagates... through markets. That difference is where the edge comes from. The visualization below is a Shannon entropy field: a model of how uncertainty collapses and spreads as new information enters a market. Each trade, liquidity shift, or derivatives flow updates a probability distribution. When information arrives, entropy collapses locally as the market incorporates it. But that update rarely happens everywhere at once. Different venues, liquidity pools, and derivative layers incorporate signals at different speeds, creating measurable information gradients across the system. One of the analytical tools in our agents’ stack models this directly: > Entropy quantifies uncertainty embedded in each probability market > KL divergence reveals conflicting distributions across venues > Information gradients show where signals have propagated—and where they haven’t yet Prediction markets and DeFi make this particularly powerful because price already represents probability. Mapping how those probability distributions update across venues turns the market into a measurable system: a live field of information flow showing where uncertainty remains—and where probability is likely to adjust nextshow more

WHAT IS HAPPENING AT TEIDE VOLCANO IN TENERIFE? An... ongoing 🧵 by GeoTenerife & Dr Janine Krippner in collaboration with Instituto Geográfico Nacional-O.A.CNIG for information & context in English. (o ver 🧵en 🇪🇸). Please follow Instituto Geográfico Nacional-O.A.CNIG, the institution responsible for volcano monitoring in Spain.show more

SuperMap: A Living Spatial Memory for Embodied AI RSS... 2026 Carnegie Mellon University SuperMap is a living spatial memory for embodied AI. It perceives the world, remembers its evolution, and supports reasoning and action. It is a training-free spatio-temporal SLAM system that builds a persistent semantic world model. It fuses high-frequency geometric SLAM with asynchronous open-vocabulary perception, producing a 4D scene graph: a queryable map carrying spatial and temporal information for every object, enabling visual-language navigation and long-horizon reasoning on real robots.show more

A correspondent from the Israeli "Channel 12" reported on... the victims immediately after the strike. Filming of the destroyed building is prohibited, and strict restrictions have been imposed at the site. The situation remains extremely sensitive, and information is limited due to strict military control. The lack of visual materials and official details may indicate that the incident is more serious than initially reported, and the authorities are trying to control both the consequences and the information environment.show more

The Pentagon leaker Jack Teixeira is going to face... a Military Court Martial according to The Air Force! What about Pete Hegseth and others that used Signalgate after being told not to and divulged Confidential information to a Journalist and most likely Russia! 😡show more

More damning info about Meghan Markle’s palace ‘bullying’ will... emerge after ex-aide spoke out: royal expert Will the floodgates open? Video - Wimbledon 2018 Look how rude she is to the lady-Now just imagine what her staff had to endure working with her - I hope more staff come forward and expose what a nasty piece of work she isshow more

The newly improved price chart feature is LIVE. 📆... No more clunky date slider. Replaced with a date picker to make it easy to understand performance during exact time periods. 📊 We used that extra space to show more information on the metric you've selected whether it is price, drawdowns, total return, market cap etc. 📈 There is also much better data frequency during smaller time periods now.show more

After the Screens 4.0.0 release you asked for more... information, so here it is: and article covering most important features, including demo videos of: ✅ support for formSheet presentation on Android ✅ custom detents on iOS ✅ heavy screen preloading for native-stack screens Learn (and see) more on our blog. 👇show more

CHINESE SCIENTIST BUILT A MEMORY SYSTEM THAT WATCHES ITS... OWN INDICATORS FOR SIGNS OF DRIFT Most memory systems store facts flat, with no signal for when stored knowledge quietly goes stale. He built four indicators instead: reference frequency, contradiction rate, decay speed, and confidence spread. A memory scoring high on contradiction rate gets flagged as unstable before it ever misleads a query. When multiple indicators spike together, the system treats that as a complex symptom, not four isolated flags. That combined symptom detection is what catches drift a single indicator alone would miss entirely. See how all four indicators interact below👇show more

🚨 BREAKING: Human cells may behave far more like... quantum systems than we ever imagined. New research suggests biological cells process information in ways surprisingly similar to quantum computers. Your body already runs on electrical signaling. But scientists are now exploring whether quantum-like effects help coordinate biological processes at microscopic scales. That changes the question completely: Maybe consciousness, memory, and cellular communication are not just chemical reactions… but emergent information fields operating across complex electrical networks. Nature may have discovered quantum optimization billions of years before humans built quantum computers. If true, biology itself could become the blueprint for the next generation of computing. We might not be building machines to mimic humans. We may be rediscovering the physics life has been using all along. Follow for more breakthroughs where physics, biology, and computation collide.show more

There’s been two papers released in the past couple... months, one by Google and one by NVIDIA, that argue that ordering the documents retrieved by RAG systems can enhance performance. However, they both give two different strategies on HOW these documents should be ordered 🤔 Both papers agree on two main points: 1️⃣ There’s a fundamental issue in RAG - as more documents are retrieved, more irrelevant context (e.g., hard negatives) are introduced, which leads to confusion for the LLM and eventually degrades the quality of the generated output. This is called an inverted-U performance curve. 2️⃣ Ordering the retrieved documents is a key lever for optimizing RAG performance. Google Cloud researchers proposed ordering results based on relevance scores: The authors in this paper argue for relevance-based reordering, or ordering the retrieved chunks based on their similarity scores, so the most relevant documents are at the beginning and the end of the inputs to counter the “lost in the middle” effect. NVIDIA researchers proposed ordering results based on the original sequence of document chunks: The authors of this paper argue for Order-Preserving Reordering, or Order-Preserve RAG (OP-RAG), to maintain the logically coherent content flow of the document. So they preserved the original order of retrieved document chunks in the source text, instead of ranking them by relevance scores. So which one is right? It probably depends on the specific use case and dataset - relevance-based reordering could perform better in tasks where you need fast access to the most critical information (e.g., fact retrieval, QA systems), while order-preserving RAG might be better where you need to understand the sequential structure of information (e.g., narrative or legal documents). There are still so many uncertainties in AI - we don’t actually know what we’re doing, and it takes awhile to figure out the best strategies for most things! Excited to see more research about this.show more

someone just open-sourced the entire "loop engineering" playbook. for... free. 8.6k stars on github for loop engineering not prompts. loops. everything you need to build autonomous AI systems: → scheduling → memory & state → planning → sub-agents → verification → worktrees → MCP → stop conditions → safety guardrails → observability → cost tracking notice something? none of these are prompts. they're the systems wrapped around the model. that's where AI engineering is heading. we're moving from: Prompt Engineering → Context Engineering → Harness Engineering → Loop Engineering soon you'll hear people talking about Graph Engineering too. because once one loop works... the next challenge is coordinating hundreds of them. that's exactly what I explain in: save this. I think "loop engineering" is about to become one of the most important concepts in AI.show more

🚨 An investigation is underway after a person was... fatally shot outside an Oak Park recording studio around 2 a.m. Friday on Meyers Road near Eight Mile. Two vehicles were riddled with bullets, and the victim died at the scene. We are working to gather more information.show more

🚨 FIRE IN SOUTHPARK: Fire crews are responding to... a massive fire in SouthPark right now. WHAT WE KNOW: The three-alarm fire broke out just after 9am at 7700 Liberty Row Drive. - According to transportation officials, Fairview Road East is closed near Park South Drive. This is a developing story and we will continue to update you as more information is released. 📸: Video courtesy of The Home T.show more