The most repeated claims about AI, stated fairly and checked against the data: water and power, “it’s dumb”, “it’s autocomplete”, “it can’t discover anything”, and hype in the other direction.https://www.justaparrot.com/enAI Trackerhttps://www.justaparrot.com/e/ai-2027-vs-reality/https://www.justaparrot.com/e/ai-2027-vs-reality/Reframed around METR's November audit: on AI speeding up AI research, reality has caught up with the scenario's March 2027. Added Daniel Kokotajlo's and Ryan Greenblatt's reactions.. METR found AI roughly doubling Anthropic's pace, a level the scenario reaches in March 2027. Its lead author says the team is ‘spooked’.Tue, 10 Nov 2026 00:00:00 GMTautonomymythsbenchmarkshttps://www.justaparrot.com/e/myth-ai-cant-create-new-knowledge/https://www.justaparrot.com/e/myth-ai-cant-create-new-knowledge/AI disproved an 80-year-old conjecture and designed antibiotics that worked in mice. Real finds come where answers can be checked.Mon, 09 Nov 2026 00:00:00 GMTmythsmathbiologyhttps://www.justaparrot.com/e/myth-humanoid-demos-autonomous/https://www.justaparrot.com/e/myth-humanoid-demos-autonomous/Some do, but often a person steers them remotely without saying so. About 60% of robots in a 2026 Beijing race were remote-controlled.Mon, 09 Nov 2026 00:00:00 GMTroboticsmythshttps://www.justaparrot.com/e/navier-stokes-myth-ai-solved-it/https://www.justaparrot.com/e/navier-stokes-myth-ai-solved-it/OpenAI's proof needs a designed outside force pushing the fluid, which the prize rules allow. A fluid left alone is still an open question.Mon, 09 Nov 2026 00:00:00 GMTmythsmathhttps://www.justaparrot.com/e/ai-text-prompt-energy/https://www.justaparrot.com/e/ai-text-prompt-energy/Google, OpenAI, Epoch AI and a Microsoft-led study agree on 0.24–0.34 Wh for a typical text prompt. Long, agent or video tasks use far more.Mon, 09 Nov 2026 00:00:00 GMTenergy-watermythshttps://www.justaparrot.com/e/myth-ai-progress-hit-a-wall/https://www.justaparrot.com/e/myth-ai-progress-hit-a-wall/AI kept improving fast through 2026, from 4-minute tasks in 2023 to 12-hour ones. Just making models bigger did slow, and real use lags.Mon, 09 Nov 2026 00:00:00 GMTmythsbenchmarksautonomyhttps://www.justaparrot.com/e/myth-ai-destroying-environment/https://www.justaparrot.com/e/myth-ai-destroying-environment/AI-focused data centres used about 0.5% of the world's electricity in 2025. That is small but growing fast, and local strain is real.Mon, 09 Nov 2026 00:00:00 GMTmythsenergy-waterhttps://www.justaparrot.com/e/myth-ai-cant-count-letters/https://www.justaparrot.com/e/myth-ai-cant-count-letters/AI reads words in chunks, not letters, so counting letters is genuinely hard for it. It's a spelling blind spot, not proof it can't reason.Mon, 09 Nov 2026 00:00:00 GMTmythscomputer-sciencehttps://www.justaparrot.com/e/us-data-centre-water-in-context/https://www.justaparrot.com/e/us-data-centre-water-in-context/The real problem is local: many new data centres are being built in places short of water. Nationally, golf courses use about 30× more.Mon, 09 Nov 2026 00:00:00 GMTenergy-watermythshttps://www.justaparrot.com/e/myth-95-percent-ai-pilots-fail/https://www.justaparrot.com/e/myth-95-percent-ai-pilots-fail/The 95% rests on 52 interviews and a 153-person survey with a strict test of success. It points to a real problem, not a measured rate.Mon, 09 Nov 2026 00:00:00 GMTmythsadoptionhttps://www.justaparrot.com/e/myth-chatgpt-bottle-of-water/https://www.justaparrot.com/e/myth-chatgpt-bottle-of-water/The ‘bottle’ comes from older estimates that covered 10–50 answers or assumed far more energy. Today's reports: about 0.3 mL per prompt.Mon, 09 Nov 2026 00:00:00 GMTmythsenergy-waterhttps://www.justaparrot.com/e/myth-llms-just-autocomplete/https://www.justaparrot.com/e/myth-llms-just-autocomplete/AI is trained to predict the next word, but studies of its insides show it plans ahead and reasons in steps. Its explanations can mislead.Mon, 09 Nov 2026 00:00:00 GMTmythscomputer-sciencehttps://www.justaparrot.com/e/myth-model-collapse/https://www.justaparrot.com/e/myth-model-collapse/Models do get worse if trained only on their own output, again and again. Keeping real data in the mix avoids it, and AI kept improving.Mon, 09 Nov 2026 00:00:00 GMTmythscomputer-science