r/TechGawker
u/Sufficient-Slide822 — 13 hours ago
Nothing says modern banking like calling people “lower-value human capital” during an AI overhaul
u/Sufficient-Slide822 — 16 hours ago
▲ 34 r/TechGawker
Musk lost on statute-of-limitations grounds, but the three-week OpenAI trial still aired a brutal portrait of AI leaders fighting for control
u/Sufficient-Slide822 — 17 hours ago
▲ 12 r/TechGawker
The UK’s push for more AI infrastructure is running into a basic problem: the grid is too slow, so datacentre developers are turning to gas.
u/YellowAltruistic9843 — 16 hours ago
NYC Health + Hospitals disclosed a breach involving medical, insurance, billing, and possible biometric data including fingerprints and palm prints
u/YellowAltruistic9843 — 19 hours ago
Mathematician Sir Roger Penrose: "AI is a bad term. It's not intelligence"
u/Murky-Option2916 — 2 days ago
Protesters at the OpenAI and Elon Musk trial
u/New_Wishbone_9691 — 1 day ago
▲ 100 r/TechGawker
Nothing says sustainable AI like asking half a country to turn off the lights
u/Sufficient-Slide822 — 2 days ago
Citadel CEO Ken Griffin says AI agents are automating PhD level finance work, leaving him “fairly depressed” over the “dramatic impact on society”
u/Murky-Option2916 — 3 days ago
Samsung’s biggest-ever strike threat is now a fight over who shares in AI-era chip profits and how bonuses should be split.
u/YellowAltruistic9843 — 2 days ago
▲ 11 r/TechGawker
Amazon wanted more AI adoption and got performance theater
u/Sufficient-Slide822 — 1 day ago
▲ 460 r/TechGawker
Eric Schmidt gets booed while talking AI at graduation
u/Spirited-Gold9629 — 3 days ago
Anthropic CEO Dario Amodei admits AI could make software essentially free while entire careers disappear
u/Murky-Option2916 — 3 days ago
▲ 3 r/TechGawker
The Amazon tariff suit is really about who gets reimbursed when pass-through pricing outlives the policy itself.
u/YellowAltruistic9843 — 1 day ago
Google CEO Admits Engineers Do Not Fully Understand Their Own AI After It Showed Unexpected Language Abilities
u/Murky-Option2916 — 4 days ago
Alex Karp, CEO of Palantir, on why most of the AI industry is theater, not engineering: "The reality that we will be able to drive a 100% growth in the US is being driven by the fact that our customers either know or will know that you need actual results."
u/Murky-Option2916 — 4 days ago
The US Military used to "own the night"
- The article traces U.S. military night vision from active infrared systems in World War II to passive image intensifiers, helmet-mounted goggles, white phosphor, thermal fusion, and mixed-reality displays. The core pattern is that each generation solved one battlefield problem while creating new training and usability burdens.
- Early active infrared gave troops a way to see in darkness, but it also created a signature that an enemy with similar equipment could detect. The shift to Vietnam-era passive systems like the AN/PVS-2 “Starlight Scope” reduced that exposure by relying on ambient light instead of an infrared lamp.
- Helmet-mounted systems changed the tactical value of night vision by helping soldiers move, not just aim. The tradeoff was reduced depth perception, tunnel vision, and the need for disciplined scanning, meaning the technology created an advantage only after units adapted their behavior around it.
- Modern systems like ENVG-B combine image intensification, thermal sensing, wireless weapon-sight links, and Nett Warrior integration. The Army says ENVG-B is designed to operate in very low light and interoperate with weapon sights, lasers, and soldier networking tools, turning night vision into a broader battlefield information system.
- The next challenge is cognitive load. IVAS-style systems aim to merge night vision, augmented reality, maps, targeting, and mission planning, but developers still have to balance capability against reliability, weight, cost, and how much information a soldier can process under stress.
Discussion question: As battlefield optics become networked displays, does the bigger advantage come from seeing better, or from deciding faster?
u/Sgt_Gram — 4 days ago
Steve Jobs on predicting artificial intelligence in 1985
u/Murky-Option2916 — 5 days ago
Ex Google CEO, Dr. Eric Schmidt: AI may hit a money wall before it hits a power wall.
u/Murky-Option2916 — 5 days ago