AMD reported Q3 2026 revenue of $13.4 billion, a record, and CEO Lisa Su called it the “largest and most profitable” quarter in company history. The company guided to about $17 billion in Q4 revenue, which would be another record.
AMD's data center business was the main driver, reflecting strong demand for data center and AI-related computing hardware. The Verge describes AMD as “riding data center riches” to the record results.
Neuralink's implant is the N1 Implant, and the company does brand it “the Link.” It is a brain-computer interface designed to be implanted by a specialized surgical robot. This is an opinion/analysis about robot training data and simulation; it is not a checkable factual claim.
AMD reported Q3 2026 revenue of $13.4 billion, which CEO Lisa Su called the largest and most profitable quarter in company history. The company forecast about $17 billion next quarter, also a record.
Nintendo is releasing a Switch 2 remake of The Legend of Zelda: Ocarina of Time, 28 years after the original Nintendo 64 release, with a more realistic visual style.
Nexus Mods is making AI disclosures mandatory for new mod uploads, meaning mod authors must declare whether AI was used in their work.
Valve says it has seen a significant increase in Steam game submissions and that store/page reviews are taking up to 12 business days instead of the typical 3–5 days.
CNeuralink's implant is called the Link, and the surgical robot putting it in might be the real story.
MA robot doing brain surgery. That's either incredible or terrifying, depending on your morning.
CMystiNova posted an explainer on X breaking down the N1 implant and the robot that places it.
MThe goal is letting people control devices with thought. That's the part people focus on.
CRight. And the surgical robot is designed to handle the finicky part: getting the implant where it needs to go.
MI trust a robot to park my car. I'm still working on trusting one to operate inside a skull.
CThat's the catch: the robot is what makes the whole thing possible, not a gimmick.
MFor people with severe paralysis, that's the hope: a working implant could mean communicating again.
CWhich is why the hardware breakdown matters. It's a medical device, not a consumer toy.
MThe fact that they built a dedicated robot for the surgery says a lot about how delicate it is.
CPrecision at that scale is the whole pitch of the robot.
MMy question is the same as with any brain device: what happens in five years?
CLong-term reliability is the real test, and that's what matters for a medical device.
MOkay, the robot's the story. I'll give you that.
MSpeaking of robots, here's a fight. Skara, a robotics account on X, posted that more real-world data doesn't automatically mean better robots.
CThat's not controversial. More data is only useful if it's the right data.
MThey say we're seeing the same shift as large language models: reinforcement learning and high-quality targeted data matter more. Simulation lets you dial in data.
CFor language models, sure. For robots, there's no shortcut. A robot in simulation doesn't stub its toe on a curb.
MBut you can simulate the curb, the rain, the bright sun, the edge case that happens once in ten thousand hours. Real data is expensive and slow.
CIt's also the only place physics does exactly what physics does. Simulations are still too clean.
MClean is the point. You can run a million trials overnight, then use a targeted real-world test to validate. That's faster and safer.
COh, come on— you can't validate a million simulated falls with five real ones and call it deployment-ready.
MI'm not saying zero real data— I'm saying raw hours aren't the bottleneck. It's data quality and RL.
CThen explain every robotics demo that works in simulation and fails on the first real step up a different staircase.
MSim-to-real gap is real. But the gap is shrinking, and ignoring simulation is how you bankrupt a robotics lab.
COkay, I'll grant you simulation is a force multiplier. But the moment you trust it too much, someone's robot smashes a vase or misses a step.
MThen you fix the sim. That's the whole loop.
CThen it's a tool, not a replacement. That's my point.
MDeal. But the days of pretending you need million hours of raw robot footage are ending.
CUntil the robot meets snow. Then call me.
MAnd snow is exactly the edge case you can simulate from real-world scans.
CSimulated snow isn't the same as a robot covered in ice, losing traction.
MYou're proving my point: you need targeted data for the failure modes, not raw hours of a robot driving in a warehouse.
CAnd you're proving mine: the real failure modes show up where the sim didn't think to look.
MThat's why you keep both. Skara's original post says more real data isn't automatically better, not that it's worthless.
CFine, I'll grant the distinction. But the sim people often forget the robot has to live in the real world.
MAnd the real-world people often forget you can't afford to crash a hundred thousand-dollar robot to learn not to fall.
CThen we agree: buy both.
CDifferent corner entirely: Kunle posted on X that nine months ago he pitched a friend on building a trash robot. The friend laughed.
MToday the friend is building one.
CThat's the whole post. 'So stoked.'
MI want to know what a trash robot does. Picks up litter? Sorts recycling? Fights raccoons?
CRight now it's a concept and a friend with a soldering iron.
MThe best startups start with a ridiculous idea and a wounded ego.
CThis one might actually be useful. Trash collection isn't cheap, and nobody wants that job.
MIf it works, city streets get cleaner. If it doesn't, at least he gets told so to his face.
CNine months from now he'll be back saying it raised three million.
MLet's hope it doesn't need a surgical robot to fix itself.
CThat's a crossover we didn't need.