goldenarm
But why is the utilization rate so low? It was barely 0.8% of electricity in California last year.
Edit: Got the answer, the batteries fire up around 6pm during the evening peak at around 9GW for ~25% of the total consumption. We would need approximately 5x more batteries and renewable power to move out of carbon-intensive production entirely.
The same thing might happen to the entire internet.
Since the 1960s, the worker-to-retiree ratio halved indeed, but productivity went 4x.
They do barely any due diligence and are basically distributing malware and badware at a massive scale without any consequences.
Reverse Engineering Google's TPUs
How exactly? So far AI has accelerated misinformation at scale and wealth concentration.
Key quote : "Solving the problem by purely AI-powered methods [would be a] net negative for the progress of mathematics."
US electricity is 40% more expensive since 2022 https://fred.stlouisfed.org/series/APU000072610
Some AI datacenters can indeed be heard a mile away https://www.theguardian.com/us-news/2026/aug/28/datacenters-...
Amazon's new Texas AI data center could become the biggest CO2 polluter in the US https://www.techradar.com/pro/amazons-new-texas-ai-data-cent...
https://github.com/enterprisequalitycoding/fizzbuzzenterpris...
I was intrigued by the hype and gave a chance this week to codex+sol 5.6 and cc+opus 5. They cheated, lied, disobeyed, and shipped subtle bugs so often, it wasted more time that if I did it myself.
Is half of the industry under AI psychosis right now ?
Big tech is too short-termist to realize it, but we are about to destroy a lot of economical value if we destroy the internet and the trust behind it.
* GPT-5.6 Sol: 65.5
* Fable 5 (w/ fallback): 64.5
* Opus 5: 64.0
* DS-V4-Pro 0813: 62.5
* Kimi-K3: 62.3
* DS-V4-Flash 0731: 55.8
* GLM-5.2: 47.3
The unfortunate consequence is low quality engineering and a billion dollar product with 15k pending Github issues.