The$6T number is per year revenue target in 2031. 6B is a round number, but facebook has 3b monthly active users, and google ai overview has 2.5b monthly active users. baidu (no google overlap) has 644m monthly active users. So at 3b internet connected users addressable or so, its $2000/user. MAUs double count work/personal/multiple/bot accounts.

Also, there’s about 1b desk/knowledge workers in the world. = $6000/job/year

When we force other countries to invade for self defense, its good to convince our people that other country is the bad one.

every human being on earth would have to spend at least $150 per year on average.

6b humans would need to spend $1000/year on average. On top of phone/computer + internet/data services. Global average spending on food/year is $1500.

If they crank up the price then people will look elsewhere.

And, in last 2 weeks, the 2 leading US labs have reduced prices. Trend is going the opposite way.

the financial logic behind the data center buildout simply doesn’t hold up.

need to change assumptions that it requires a decent end ROI, or good economic proposition, when analyzing logic.

1. Greater fool theory. Hype hype hype to cash out at IPO or buyout. Circular financing is your friend. Outright fraud of 5x more expensive data centers in space that are only useful for slow inference.

2. There’s nothing else for the US to spend on, and aspirationally seek economic competitiveness with China. A race to end US employment for higher oligarch profits, as a bribe to narcissist in chief, becomes somehow MAGA.

3. Skynet government surveillance, fascism, and geopolitical dominance. Government will buy all of the tokens or China wins. US fascism/oppression will increase to protect Israel first establishment power, or China wins. There can be no guardrails on US government, or AI bond villain, use of models, or China wins. Zero regulatory discussion exists on preventing the pursuit of Skynet, and “whoever wins AI, wins” is only/purely a Skynet goal, and it is policy unanimity. https://naturalfinance.blogspot.com/2026/09/a-global-prosperity-manifesto.html

An irony in 2nd/3rd point is that industry is fully aware that about 90% of tokens in SEA area datacenters are consumed in China, and it is one of biggest areas of new datacenter developments. So some chain of control in the profit/revenue flow from token sales to China is a near term priority over skynet dominance over China.

The cost decline for a given level of performance does tend to slow over time

Even in their tests, there are big drops in 2026 models, and recent ones.

A much more comprehensive and easy test is to follow this benchmark suite (AAi). Its a mix of medium/hard benchmarks, with bias for agentic coding. (sorry for url dump) https://artificialanalysis.ai/?endpoints=openai_gpt-5-2-codex%2Cazure_kimi-k2-thinking%2Camazon-bedrock_qwen3-coder-480b-a35b-instruct%2Camazon-bedrock_qwen3-coder-30b-a3b-instruct%2Ctogetherai_minimax-m2-5_fp4%2Ctogetherai_glm-5_fp4%2Ctogetherai_qwen3-next-80b-a3b-reasoning%2Cgoogle_gemini-3-pro_ai-studio%2Cgoogle_glm-4-7%2Cmoonshot-ai_kimi-k2-thinking_turbo%2Cnovita_glm-5_fp8&models=mimo-v2-5-pro%2Cgpt-6-sol-low%2Cgemini-3-5-flash-minimal%2Cgpt-5-6-luna-low%2Cclaude-fable-5-1-low%2Ckimi-k2-6%2Ckimi-k2-6-non-reasoning%2Cmimo-v2-0206%2Cglm-5-3-flash%2Cgpt-6-luna-xhigh%2Cglm-4.5%2Cgpt-5-5%2Cclaude-opus-5-low%2Cmimo-v2-5-0424%2Cclaude-sonnet-5%2Cmimo-v2-6-pro%2Cclaude-opus-4-5-thinking%2Cminimax-m3%2Cgpt-6-astra%2Cclaude-opus-5-5%2Cqwen3-8-27b-non-reasoning%2Cgpt-6-luna-medium%2Cclaude-fable-5-1%2Cgpt-5-6-luna%2Cmimo-v2-5-pro-non-reasoning%2Cminimax-m2-7%2Ck2-horizon-mova-36b-a4b%2Cclaude-opus-4-6-adaptive%2Cgpt-5-6-luna-medium%2Cgemini-3-1-flash-lite-preview%2Cgpt-5-4-pro%2Cgrok-4-3-medium%2Cnvidia-nemotron-3-super-120b-a12b%2Cgpt-6-luna-non-reasoning%2Cqwen3-8-27b-medium%2Cgpt-5-5-medium%2Cdeepseek-v4-pro-0424-non-reasoning%2Cgpt-6-luna%2Cgemini-3-8-flash-medium%2Cnvidia-nemotron-3-nano-30b-a3b-reasoning%2Cgrok-4-5%2Cgemini-3-flash-reasoning%2Cgpt-6-luna-high%2Cqwen3-8-27b-low%2Cmimo-v2-flash%2Cdeepseek-v4-pro%2Cqwen3-6-35b-a3b%2Cgemini-3-8-flash%2Cclaude-4-5-sonnet-thinking%2Cllama-4-maverick%2Cgrok-4-3%2Cclaude-opus-4-8%2Cmuse-spark-1-3%2Cqwen3-8-flash-next%2Cgpt-6-astra-low%2Ckimi-k2-5%2Cgpt-5-4%2Cqwen3-8-27b%2Cqwen3-8-max%2Cgpt-5-5-high%2Cclaude-sonnet-5-5%2Chy3%2Cclaude-opus-5%2Cgpt-5-4-mini%2Ck2-horizon-375b-a23b%2Cgemini-3-1-pro-preview%2Cgpt-6-luna-low%2Cgpt-6-sol%2Cgrok-4-6%2Cclaude-4-1-opus-thinking%2Cglm-5-3%2Cgpt-6-sol-non-reasoning%2Cclaude-sonnet-5-non-reasoning%2Cgpt-5-6-sol%2Cgpt-5-6-sol-xhigh%2Cdeepseek-v4-1-flash%2Cgemini-3-7-flash-low%2Cclaude-opus-5-5-xhigh%2Cclaude-sonnet-4-6-adaptive%2Cglm-5-2-non-reasoning%2Cclaude-opus-5-5-medium%2Cgpt-oss-120b%2Cclaude-opus-5-5-high%2Cglm-5-2%2Ckimi-k3%2Cgrok-4-3-low%2Cdeepseek-v4-flash%2Cclaude-opus-5-medium%2Cgemini-4-argon&agents=claude-code-fable-5-1-max-with-fallback%2Ckimi-code-cli-kimi-k3%2Cgrok-build-grok-4-7-xhigh%2Cmuse-code-muse-spark-1-3-max%2Cantigravity-sdk-gemini-3-8-flash-high%2Cdevin-fusion-cli-gpt-6-astra-xhigh-swe-2-medium%2Cclaude-code-qwen3-8-max%2Cdevin-fusion-cli-claude-fable-5-1-xhigh-swe-2-medium%2Ccodex-gpt-5-6-sol-max-reasoning-effort-max%2Cclaude-code-opus-5-max%2Ccodex-gpt-6-astra-max-reasoning-effort-max%2Copencode-glm-5-3-reasoning-effort-max%2Cgrok-build-grok-4-6-xhigh%2Ccodex-deepseek-v4-pro-0813-max%2Ccodex-deepseek-v4-flash-0731-max%2Cmuse-code-muse-spark-1-3-xhigh&coding-agents=cost&model-creators=zai%2Cgoogle%2Calibaba%2Copenai%2Canthropic%2Cxai%2Cmeta%2Cmistral%2Cdeepseek%2Cstepfun%2Cthinking-machines%2Ckimi%2Cifm%2Cminimax%2Cxiaomi&releases=claude-opus-5-5%2Cclaude-fable-5-1%2Cgpt-6-astra%2Cgpt-5-6-luna%2Cmuse-spark-1-3%2Cgrok-4-7%2Cmimo-v2-6-pro%2Cglm-5-3%2Cgemini-3-8-flash%2Cdeepseek-v4-1-flash%2Cminimax-m3&capability-models=gemini-3-5-flash-lite%2Cstep-5%2Cinkling%2Cmimo-v2-6-flash%2Cglm-5-3-flash%2Cmimo-v2-6-pro%2Cminimax-m3%2Cgpt-6-astra%2Cclaude-opus-5-5%2Cclaude-fable-5-1%2Cgpt-5-6-luna%2Cmuse-glimmer%2Cgrok-4-7%2Cnvidia-nemotron-3-ultra-550b-a55b%2Cgpt-6-luna%2Cgemini-3-8-flash%2Cmuse-spark-1-3%2Cqwen3-8-27b%2Cqwen3-8-max%2Cclaude-sonnet-5-5%2Cclaude-opus-5%2Ck2-horizon-375b-a23b%2Cgpt-6-sol%2Cglm-5-3%2Cgpt-5-6-sol%2Cdeepseek-v4-1-flash%2Cmistral-medium-3-5%2Ckimi-k3%2Cqwen3-8-flash-next&cost=evaluation-breakdown

Opus 4.8 (may 2026), by far best model at the time, gets equaled by deepseek 4 pro (july 31) and 4.1 flash (sept 10th) at less than 1/100th the cost. MiMo 2.6 pro (sept 21) is even cheaper and beats opus 4.8 scores by a wide margin. sonnet 4.6 max to gpt luna high is also a 99% drop in a short time for lower performance models.

It’s proof of unsustainable AI bubble. Can’t hit those numbers. https://lemmy.ca/post/71626228/25584891

The TV has already been fed/plugged in to electric socket. Don’t listen to its BS

ridiculous rule for shows that have run longer than everything else on the list, and still popular.

searches for IASIP… 78th???

Suck it family guy/simpsons for surviving shows.

also, the best way to save the permitting issues would be solar and batteries with Chinese tariff exemptions to meet the scale requirements. This would add to consumer electricity availability as this datacenter is close to El Paso, and NM city. Site is sunniest area in US with cheapest land costs.

The resolution offered by the JCPOA (2015) basically gave Iran free reign to resume their activities, so long as they weren’t a threat to the global powers. It’s quite understandable that Israel would be just as upset with that solution as Iran was previously with the sanctions.

This is Israeli lie repeated by genocide seekers often for public propaganda supporting hate for emotional war agenda, rather than any rational gains for Americans in serving Israel. It doesn’t make JCPOA perfect. But pure demonic evil to force a war instead of any arguments for compliance improvements and trading Iranian prosperity for more certainty over nuclear programs.

Hacking is pejorative insult! Their dialup modem escaped containment after watching that hack the planet with the nice boobied goth/punk girl movie.

They know it doesn’t win wars. Israel doesn’t want a resolved war. Only pure destruction of Iran, and all political power in US is Israel first. When cruelty makes the enemy uppitty, rulership just yells harder about how they just hate America.

office chair or suitcase?

Totally fetch move! The field may be striving towards AG(eneral)I , and super lablel could apply to a shade above/below AGI, and some expert debate/consensus could build criteria for definition. Calling a fast selection system for who to murder or deport, super intelligence, is fetch-washing/promoting a mass deportation/murder system.

it was double or triple tapped too.

More than 1,000 Iranian targets were hit within the first 24 hours

That is the impetus for careless results. But whether target selection was through darts thrown at a map, or really smart monkeys choosing, the danger of AI is believing it is sufficiently better than the first 2 approaches, and good enough to not review. Fine, pure demonic evil is behind the goals of US military, but AI is not going to reduce their evil in any way, and they will think it is a productivity booster for their goals.

Trump/Hegseth went apeshit and banned Anthropic from entire government over “just letting AI pull the trigger” ambitions.

There is a post on “slop grenades” in workforce (shoppify as AI early adopter) today. Nature of that article is whinning about all of the extra work involved in reviewing AI slop. AI is murdering people in this case because the required adequate review process is ignored. There is likelihood, in this case, that “cruelty is the point” strategic thinking was at play. AI containment/checks excuse as an after the fact explanation for defeat, and obvious unification reaction to “cruelty is the point” idiocy instead of surrender, is still one of the paths for AI to be a destructive force.