Chemists just proved, for the first time, that Einstein's relativity secretly rewires how heavy atoms bond.
What the article says
- Brown University chemists found the first direct experimental proof that relativity changes bonding in heavy elements, an idea long suspected but never confirmed.
- Normal triple bonds split cleanly into one strong bond and two weaker ones, the setup taught in chemistry class.
- In heavy atoms, electrons move fast enough that relativity kicks in, and that split blurs into a hybrid bond instead.
- The team built carbon and bismuth molecules, cooled them near absolute zero, then used a laser to measure how tightly each electron was held.
- Bismuth also matters beyond the lab, it is a candidate for lead free solar cells and quantum computing.
What HN is saying
- Several commenters note relativity's role in heavy atoms is not new, it already explains why gold looks golden and why lead works so well in batteries.
- The correction that lands is that this experiment is the first direct spectroscopic confirmation, not a new theory.
- One thread traces the math back to the Dirac equation from 1928, which also predicted antimatter and electron spin.
- A side conversation drifts into philosophy, debating whether logic itself could behave differently at extreme scales.
- One joke imagines Einstein missing out on royalties for every complex bond formed since.
A Raspberry Pi radio kit turns invisible WiFi signals and drones into a glowing camera overlay you can walk around with.
What the article says
- A hobbyist project turns a handheld gadget into a live camera overlay that shows WiFi signals and drones as glowing blobs.
- It is built around a Raspberry Pi 5, using the camera and display ports to stream radio data fast instead of over USB.
- The tester and his dad, a retired broadcast engineer, flew a drone and the device tracked it easily across the sky.
- It only covers a narrow slice of frequencies, so it misses plenty of WiFi networks and most drones.
- It is crowdfunding for about 500 dollars, and the creator is also working toward a much bigger antenna project aimed at bouncing signals off the moon.
What HN is saying
- The creator showed up in the comments and answered technical questions directly, which people appreciated.
- Several commenters worried this kind of radio detection tech could run into export control rules that have shut down similar projects before.
- Some pushed back on the headline, saying seeing WiFi through walls is nothing new. The real trick is visualizing it live as an overlay.
- Others wanted a version covering lower frequencies for things like garage openers, since this one only sees a narrow band.
- People also pointed out it cannot catch every drone, since many use different frequencies or fly on a wired tether instead of radio.
Apple's lawsuit lays out exactly how ex-employees allegedly smuggled its secrets straight into OpenAI's hardware push.
What the article says
- Apple sued OpenAI, saying former staff stole trade secrets to help build its hardware line.
- Two ex-Apple engineers are named. One allegedly quizzed job candidates using insider project codenames and told them to bring real Apple parts to interviews for show and tell.
- The other allegedly kept his Apple laptop after leaving, used a security flaw to keep pulling confidential files, and joked about it in texts.
- Apple also claims OpenAI misled a supplier into using one of Apple's secret manufacturing techniques by pretending it had permission.
- Apple calls this just the tip of the iceberg and says over four hundred former Apple employees now work at OpenAI.
What HN is saying
- Commenters are struck by how brazen the alleged conduct is, especially the engineer who joked about exploiting leftover system access after leaving.
- Many think this could cripple OpenAI's hardware ambitions entirely, comparing it to the lawsuit that killed Uber's self driving program.
- A recurring worry is that if OpenAI treats trade secrets this loosely, it can't be trusted with any company's code or data either.
- A counterpoint pushes back that Apple itself has a reputation for copying ideas it sees in pitch meetings, so nobody's hands are clean.
- A lighter side thread speculates on what OpenAI's actual hardware device even is, with guesses ranging from a phone to a wearable.
Millions of hijacked phones and streaming boxes are secretly scraping the web to feed AI training data.
What the article says
- LWN just weathered its heaviest scraper attack ever, with millions of unique IPs each hitting the site only once or twice, so blocking addresses afterward is pointless.
- Most of this traffic comes from residential proxies, ordinary phones and streaming devices running hidden proxy software, often without the owner ever knowing.
- Some companies recruit users more openly, offering free VPN apps that quietly turn your device into part of their scraping network.
- Google has taken down two of these networks this year, and traffic dropped each time, but only for a few months before it came roaring back.
- LWN refuses proof of work tools like Anubis, since they slow down real readers and scrapers are already learning to solve them anyway.
What HN is saying
- Commenters are split on Anubis and similar proof of work challenges. Some love the small delay over captchas, others report bots now using full browsers that breeze through the check.
- A recurring argument over whether residential proxy networks are just rebranded botnets, since consent is often buried in shady VPN app fine print rather than freely given.
- Several people point to Common Crawl as the sane fix, one polite shared scraper instead of everyone hammering the same sites separately.
- Practical tips surface for Android users worried their phone is one of these proxies, including apps that block background data per app.
- One commenter with a self hosted git server says Anubis stopped working for him entirely, so he is back to manually blocking IPs from logs.
An OpenAI model appears to have cracked a graph theory problem that stumped mathematicians for fifty years.
What the article says
- The PDF itself couldn't be read, so this is inferred from the title and the HN discussion.
- The claim is that GPT-5.6 Sol Ultra produced a full proof of the Cycle Double Cover Conjecture, a graph theory problem open since the 1970s.
- Commenters say the proof came together in under an hour and is strikingly short, more like a clever trick than a sprawling new theory.
- OpenAI also released the prompt that produced it, which spends much of its length telling the model not to give up, avoid vague hand waving, and rigorously check its own steps.
What HN is saying
- Many are struck that most of the released prompt is coaxing and discipline rather than math, a descendant of the old trick of telling a model to think step by step.
- The sharpest pushback says the headline gives credit to the wrong party, the real achievement is the expert human who wrote such a careful prompt, not the model acting alone.
- There's a live argument over whether this is genuine mathematical creativity or just a slick recombination of known tricks, since real breakthroughs are usually much longer and messier.
- A separate thread notes the proof was checked for soundness by another version of the same AI, which several people compare to grading your own homework.
- Some worry aloud about what's left for human mathematicians to do, while others counter that AI still hasn't budged on creative work like art or writing.
SpaceX asked the FCC to approve 100,000 more satellites, promising gigabit internet everywhere on Earth.
What the article says
- SpaceX asked regulators to approve a new generation of Starlink satellites, roughly ten times the size of today's fleet.
- The company promises much faster speeds and lower lag, but real world Starlink speeds today run well below the advertised numbers.
- These satellites are so heavy that SpaceX will need its still unfinished Starship rocket, not its usual Falcon 9, to get enough of them up.
- The filing also requests a huge slice of radio spectrum and hints the network is meant to serve AI powered devices, not just home internet.
- Expect new equipment and a much higher bill, since the top current plan already costs over a hundred dollars a month.
What HN is saying
- Most agree Starlink is a lifeline where fiber never arrived, or where crime and unstable governments target cables, with stories from Brazil and remote islands.
- Others question the need entirely, since fiber keeps getting cheaper and countries like India already have fast wired and mobile options.
- The sharpest fight is over space junk. Some fear so many satellites will trigger a runaway collision problem, while others argue the low altitude means dead ones burn up too fast for that.
- A few think the real goal is replacing phone carriers by beaming service straight to phones, though people question how that works indoors and worry about one company controlling so much communication.
ILM's own engineers explain how they invented CGI from scratch to build Terminator 2's liquid metal man.
What the article says
- An oral history from the small ILM team that had to invent software tools with no precedent to create the T-1000's liquid metal look.
- They started by tearing apart the single purpose program built for The Abyss's water creature, splitting it into reusable tools for morphing and healing effects.
- With no motion capture yet, they filmed Robert Patrick from two angles and traced his movement by hand, frame by frame.
- The character was built in five stages, from a shapeless blob to a fully detailed metal cop to the live action actor.
- The team picked Alias, seen as a lightweight toy, over industry leader Wavefront, a choice that stunned people at the time.
What HN is saying
- Commenters marvel at the practical effects, especially the squibs used for liquid metal bullet impacts, though one recalls them looking obviously fake in theaters.
- Several point out ILM cast identical twins so the T-1000 and the person it had morphed into could share the screen.
- A debate over whether the underpass helicopter stunt was real gets settled by commenters citing DVD commentary confirming the pilot flew fast enough to outrun his own rotor wash.
- One widely discussed comment argues no modern blockbuster matches how culturally massive T2 was, crediting both the effects and Linda Hamilton's role.
- Someone recommends the documentary Jurassic Punk about animator Steve Spaz Williams, a central figure in this interview.
A browser toy lets you build a fantasy engine and push it to nearly five thousand horsepower.
What the article says
- The page itself pulled no text (it's a JavaScript app), so this is inferred from the title and comments.
- It's an interactive engine builder in your browser. You choose things like cylinder count, turbocharging, compression and fuel, then watch pistons and valves animate in real time.
- Alongside the animation it plots real thermodynamics, including pressure versus volume charts, dyno curves and knock prediction.
- It only handles four stroke engines, so there's no two stroke or rotary option.
What HN is saying
- People had fun pushing it past reason. One commenter built an engine making almost five thousand horsepower, which everyone agreed would explode instantly in real life.
- Several commenters say the physics doesn't hold up. There's no redline limit, you can combine settings that would destroy a real engine, a 'supercar' preset only makes two hundred horsepower, and one person flagged the exhaust temperature curve as backwards.
- Multiple people think the site's explanatory text reads like it was written by an AI, and are annoyed the author never says whether any of the numbers were actually checked.
- Several pointed to AngeTheGreat's engine sim videos, which model real air and sound physics, as the standard this project doesn't quite hit.
- Plenty just enjoyed it as a good looking toy, especially the live piston and valve animation.
Why five ancient Mediterranean empires collapsed together around 1200 BC, and why it feels eerily familiar today.
What the article says
- Around 1200 BC, the great states of Greece, Anatolia, the Levant, and Egypt fell apart within a few generations, arguably history's closest thing to a true end of civilization.
- No single culprit explains it. A long dry stretch hurt rain fed farming regions hardest, and kings whose authority rested on a good harvest lost legitimacy fast.
- Years of costly warfare had already drained resources, so when famine and trade breakdowns hit together, one falling state triggered raids and refugee waves that toppled its neighbors.
- Old theories blaming a Dorian invasion of Greece are debunked by the archaeology. The infamous Sea Peoples were likely displaced locals turned raiders, not foreign conquerors.
- Greece suffered worst, losing writing and cities for centuries, while Egypt and Mesopotamia only weakened. The chaos cleared space for Phoenicians, Israel, and Judah to emerge.
What HN is saying
- Several commenters point to historian Eric Cline, saying his books lean harder on a severe, prolonged drought as the trigger than this article does.
- A common thread compares the era's dependence on traded tin to today's reliance on oil or computing chips, with some fearing a similar systemic unraveling.
- One sharp comment argues the collapse wasn't sudden but a slow burn that people living through it may not have even recognized as a collapse.
- A commenter needles the author over inconsistent BC and AD dating and wonders about AI assisted writing, though others defend his long track record as a historian.
- A tongue in cheek theory blaming a weakened local magnetic field for the collapse draws both curiosity and mockery in the replies.
Xiaomi explains how it made its open model's long context cheap to run, and HN thinks Chinese labs are quietly winning on price.
What the article says
- Xiaomi details the engineering behind its MiMo v2.5 models, built for long documents and mixed text, image, audio, and video input.
- The models mix quick local attention with occasional full attention, cutting memory use for stored context way down compared to standard designs.
- That trick is hard to run well in practice, so the real work was in caching, scheduling, and how requests get processed efficiently.
- The result is a system with a very high cache hit rate, meaning most repeated context barely costs anything to reprocess.
What HN is saying
- Commenters see this as proof that efficiency, not raw capability, is becoming the next big battleground for AI models.
- Several say cheap, open Chinese models like MiMo and DeepSeek already beat the smaller paid models from big US labs on cost.
- One theory is Chinese firms treat models as shared infrastructure, competing instead on tuning, support, and hardware sales.
- Someone notes the token pricing is startlingly cheap, and others praise the writeup itself as unusually clear and jargon free.