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

This Week’s Awesome Tech Stories From Around the Web (Through May 23)

FutureThese Companies Say AI Is Reviving Entry-Level Jobs, Not Killing ThemLindsay Ellis | The Wall Street Journal ($)“In one of the biggest surveys on employers’ graduate hiring plans this year, nearly three times as many executives at companies using or exploring AI said they were increasing junior-level hiring in 2026 than cutting back. Those using AI most extensively were the most bullish, according to Strada Education Foundation, which surveyed about 1,500 employers.”Roboti

Show HN: AI Guided 3D atomic orbital simulation

Hey folks, I've been working on this atomic orbital for the last few months. It's specifically designed to help you learn about quantum mechanics. Would love some feedback! <3 <3

Show HN: Darc – grep-like memory search tool for coding agents

Hi HN, I’m Junha Park. I've been experimenting with agent memory, especially how to make agents run more reliably on large tasks.I built Darc, an open-source shared memory search tool for coding agents, with a different approach from most agent memory systems we can see today. It is an index + (lexical) search tool over agent session history, rather than a managed memory system. No embeddings, no agent-aided consolidation, no injection hooks.How it works: Darc archives Codex / Claude C

Show HN: AI readiness toolkit: AI two-minute CODE maturity check

I've been using this for a while, and I thought others on HN might find it helpful. You can run it against a local repository, and it uses mostly non-AI tools to make a high-level assessment about how AI-native the repository is. This is all based on my own personal experience and is very much opinionated, but this has helped me grow my codebase without it collapsing under the weight of the AI coding biases that tend to happen unless you put the guard rails in place. This is me trying to st

Show HN: Smithereen – an early-Facebook-style Fediverse server

Hey! I'm Gregory Klyushnikov, a former lead Android developer at VKontakte, Russia's Facebook. And I hate enshittification with a burning passion. I quit in 2016 because the mismatch in values with the new management started driving me crazy.My core issue with Facebook, Twitter, Instagram, VKontakte, and other commercial, centralized social network services is that they all eventually drift away from "staying updated on your friends' lives" towards "getting world ne

Show HN: OpenRDMA-An Open Source FPGA-Based 400G RDMA-Like SmartNIC

We’ve been building an open-source FPGA-based 400G RDMA-like SmartNIC called OpenRDMA.The project includes RTL, drivers, and the FPGA data path implementation. Current hardware throughput has reached around 200Gbps so far.One interesting aspect has been verification: we’ve been using LLM-generated cocotb testbenches quite extensively. AI is still weak at SystemVerilog, but surprisingly useful for Python-based cocotb verification workflows.The entire stack is open-source: github.com/open-rdm

Show HN: Accurate body measurements from two images

After spending quite a bit of time on this, I'm ready to share SnapMeasureAI's demo. It's a tool designed to provide accurate body measurements, helping to slash those annoying retail returns.

Show HN: Quit All, an iOS app with an SOS mode for cravings

I built Quit All, an iPhone app for breaking bad habits. The main idea is that most habit trackers help after relapse, but cravings happen before that. Quit All has an SOS mode with a timer, GIFs/prompts, streak tracking, relapse logging, savings, milestones, danger-time stats, and iOS widgets. YouTube demo: https://www.youtube.com/watch?v=qwNK4rqOY88 App Store: https://apps.apple.com/us/app/quit-all-break-every-habit/id6760978934

Any positive sides of LLM there?

I started to wonder that I dont remember reading any positive articles or discussion about AI.It is deep in human nature for stressing out about our problems that might occur and possible dangers, and for myself I think I have been quite deep lately for the upcoming "world-end" and overall stressing about the world state. There has been so much about how AI could contribute to psychosis, how AI will take our jobs etc.. Which surely are important problems. But with just little imaginat

Show HN: Compose-to-Cloud Pulumi Providers for AWS, GCP, and Azure

Hi HN,These are three FOSS Pulumi providers (defang-aws, defang-gcp, defang-azure) that take a Docker Compose-like project and provision it as real infrastructure to the respective cloud: VPC, subnets, load balancers, serverless containers (ECS Fargate, Cloud Run, Container App), builds, managed PostgreSQL, Redis, LLMs, and public/private DNS.Develop once, deploy anywhere: all three providers expose the same Compose-shaped surface. They contain the same Pulumi resources: Project, Build, Ser

Show HN: ThinkLLM, A knowledge graph of AI models (HTTPS://thinkllm.dev)

As an Enterprise Architect I work with Capabilities, Use Cases and Value Maps amongst other things. Hugging Face is a great resource for tracking down AI models but is mostly technical and quite detailed. I built ThinkLLM because I thought that as more and more people are going to be using LLMs it would be easier to find AI models by capabilities and use cases than simply browsing long lists of models.The website has nothing extraordinary or special. Is just a different view on existing data. It

Scientists just found a faster, cleaner way to extract lithium for EV batteries

A breakthrough lithium-extraction method could help solve one of clean energy’s dirtiest problems. Researchers at Columbia Engineering have developed a fast new technique that pulls lithium directly from salty underground brines using a temperature-sensitive solvent, avoiding the giant evaporation ponds that can take years and drain precious water supplies. Even better, the method works on low-quality lithium sources that current technologies struggle to use.

New AI body map reveals obesity’s hidden attack on facial nerves

Scientists have created an AI-powered system that can scan and map an entire mouse body in extraordinary detail — and it just uncovered a surprising new effect of obesity. Beyond disrupting metabolism, obesity appears to damage facial sensory nerves linked to touch and sensation, while also triggering widespread inflammation across the body.

NASA’s Psyche spacecraft captures stunning Mars images during high-speed flyby

NASA’s Psyche spacecraft skimmed past Mars in a precision flyby that helped catapult it deeper into space toward its ultimate target: the bizarre metal-rich asteroid Psyche. During the encounter, it snapped detailed images of heavily cratered Martian terrain, including the striking double-ring Huygens crater. The flyby gave the spacecraft a critical gravity boost without using extra fuel.

NASA stunned as strange solar radio burst lasts 19 days

NASA scientists were stunned when a strange radio signal from the Sun refused to fade away. Instead of lasting a few hours or days like normal solar radio bursts, this one persisted for an astonishing 19 days — shattering the previous record. Using a fleet of spacecraft spread across the solar system, researchers tracked the mysterious signal to a massive magnetic structure on the Sun called a helmet streamer.

Ordinary WiFi can now identify people with near perfect accuracy

Scientists in Germany have demonstrated a startling new form of surveillance: identifying people using nothing more than ordinary WiFi signals. By analyzing how radio waves bounce around a room, researchers can effectively “see” and recognize individuals — even if they are not carrying a device and even if their phone is turned off.

Data Centers Now Consume 6% of US Electricity—and the Backlash Has Begun

Strong opposition kicks in when data centers’ power demand surpasses 5% of a country’s electricity. As the AI boom accelerates, governments and utilities are struggling to keep pace with the industry’s huge energy demands. New figures suggest AI now consumes about 6 percent of electricity in the US, raising concerns about grid capacity and environmental impacts.Data centers have always been energy-hungry, but the AI explosion is causing computing demand to skyrocket. The bigges

A quantum computing deadline looms. It threatens to kick off the biggest cybersecurity crisis ever

The day when a quantum computer can crack commonly used forms of encryption is drawing closer. The world isn’t prepared, experts say.

China builds fastest quantum computer

Chinese scientists have developed the world’s fastest quantum computer prototype, named Jiuzhang 4.0, capable of solving complex mathematical problems very fast