Paris Tirone
112.4K posts
@LadyRaynbow
#AdamLambert #Glambert #Queenbert -- Artist, reader/writer, educator, healer, gardener, publisher #OurRevolutionContinues #Resist #NeverthelessShePersisted
Never thought I’d see the President of the United States threatening to commit blatant war crimes on social media, but here we are.
🚨Breaking: Princeton researchers just ran the numbers on where AI is actually heading. The results should make every founder, investor, and policymaker stop what they are doing. Training OpenAI's next-gen model consumes an estimated 11 billion kWh of electricity. That is enough to power every home in New York City for a full year. More than the annual output of a nuclear reactor. For one model. One training run. And that is before a single user asks a single question. Every time someone uses a reasoning model like o1 or DeepSeek-R1, it costs 33 Wh of energy per query. A standard GPT-4 query costs 0.42 Wh. That is a 79x energy multiplier. Per query. At billions of queries per day. Now here is what nobody is saying out loud. The industry's answer to this is Stargate. A $500 billion compute campus. 5 gigawatts of power. Enough to run 5 million homes. Owned by the same four companies that already control the technology. They are building a new kind of utility. Except you do not elect its board. Meanwhile the models consuming all that energy still cannot reliably reason outside of math and code. Everywhere else they pattern-match. They hallucinate. They confabulate confidence. Princeton's argument is that this is not a scaling problem. It is a structural one. More parameters have not fixed it. More data has not fixed it. The architecture itself is the ceiling. Their alternative: stop chasing one god-model and build thousands of small specialists instead. Each one trained on curated domain data. Each one grounded in verified knowledge. Each one small enough to run on your phone. The energy comparison is not close. A cloud query to a reasoning model uses 33 Wh and 20 milliliters of water. The same query on a local specialist model uses 0.001 Wh. Zero water. That is 10,000 times more efficient. AlphaFold did not beat biologists by knowing everything. It won by going impossibly deep in one domain. A 14 billion parameter model trained on medical knowledge graphs just outperformed GPT-5.2 on complex clinical reasoning. Depth beats breadth when the domain is defined. The question nobody building these systems wants to answer: If the only path to general AI requires the energy output of a small nation, controlled by a handful of companies, running on hardware most of the world cannot access — is that actually intelligence? Or is it just the most expensive pattern matcher ever built?
Drones Flew Over America’s Nuclear Bomber Base for a Week. Nobody Stopped Them. During the week of March 9, waves of 12-15 unidentified drones repeatedly overflew Barksdale Air Force Base in Louisiana. The base is the command headquarters for Air Force Global Strike Command, responsible for America’s entire strategic bomber force, including B-52s capable of carrying nuclear weapons. The United States was at war. The drones came anyway. According to a confidential briefing document leaked to ABC News, the drones displayed non-commercial signal characteristics, long-range control links, and resistance to jamming. They varied their routes. They left their lights on, not out of carelessness, but to monitor how the base responded. Analysts called it deliberate reconnaissance. The Air Force tried to jam them. It did not work. Barksdale issued a shelter-in-place order on March 9. Flight line operations were halted. B-52s carrying AGM-158 cruise missiles and 30,000-pound bunker buster bombs were grounded. It was the first time a U.S. air base had been temporarily put out of operation in wartime, something that never happened in World War II. The drones were assessed as far more sophisticated than anything seen in Ukraine, and well beyond Iranian capabilities. No operator has been identified. No one has been caught. The incident received limited media coverage. It happened three weeks ago. Stay connected, Follow Gandalv @Microinteracti1
