AI Data Centres in India: The Race for Energy, Land, and Water – Frontline #AI #AIdatacentres #datacentres #tech
ECONOMY
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Claude Haiku 5.5 and Sonnet 5.5 token pricing and cache costs
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Claude Haiku 5.5 is priced at $0.10/M input and $0.50/M output tokens, or $0.50/M and $2.50/M above 100k input tokens. Claude Sonnet 5.5 cache reads are also now $0.10/M tokens, down from $0.20/M. Compare Haiku 5.5 on CursorBench:
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Claude Haiku 5.5 matches GPT-6 Luna prompt pricing
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As expected: Claude Haiku 5.5 is going to match GPT-6 Luna’s pricing for prompts up to 100K tokens: $0.10 input and $0.50 output per million tokens. Above 100K, Haiku would jump to $0.50 input
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Post Uses Adoption Figures to Question How Widely AI Is Used
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2% pay for AI from all the people that use AI. ChatGPT has 1b MaU, which means about 5.5b never used AI before or accidentally via google AI mode. So I’d say 99.9% is still accurate in total. That being said, my friends pay for ChatGPT plus but still dokt know what a token ist
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Europe’s AI infrastructure gap beyond models
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Europe doesn't have only an AI model problem.
It has an infrastructure problem.
Europe has:
✅ exceptional researchers
✅ strong universities
✅ major industrial companies
✅ sophisticated regulation
✅ significant public investment
But frontier AI also requires something much -
British High Commission official links AI adoption, growth and public trust
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Speaking at #IndianMobileCongress2026, Sophia Nestius-Booth, Regional Director for Science & Technology, British High Commission, highlighted the critical relationship between AI adoption, economic growth and public trust. She emphasised that advancing AI innovation must go hand
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AI market crash risk from cheap Chinese open-weight models
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𝗔𝗜 𝗱𝗼𝗲𝘀 𝗻𝗼𝘁 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗳𝗮𝗶𝗹 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗔𝗜 𝗺𝗮𝗿𝗸𝗲𝘁 𝘁𝗼 𝗰𝗿𝗮𝘀𝗵.
— Pascal Bornet (@pascal_bornet) 7 octobre 2026
It may only need to become too cheap to sell.
Scott Galloway calls this possibility “AI dumping.” His argument is that inexpensive Chinese open-weight models could become capable enough… pic.twitter.com/v4pAPNlulI𝗔𝗜 𝗱𝗼𝗲𝘀 𝗻𝗼𝘁 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗳𝗮𝗶𝗹 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗔𝗜 𝗺𝗮𝗿𝗸𝗲𝘁 𝘁𝗼 𝗰𝗿𝗮𝘀𝗵. It may only need to become too cheap to sell. Scott Galloway calls this possibility “AI dumping.” His argument is that inexpensive Chinese open-weight models could become capable enough
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Perplexity Decision API pricing halved to 2 cents per million tokens
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Also, Perplexity Decision API pricing was cut by half, now to 2 cents per million input tokens. Enjoy!
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AI model leaderboard snapshot comparing benchmark costs
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Data: https://
artificialanalysis.ai/leaderboards/m
odels
…
Get the evident-charts skill: https://
github.com/rhiever/eviden
t-charts
… October 6 snapshot. Costs are per benchmark task; similar aggregate scores don't guarantee equal performance on your tasks. -
Reasoning effort cost tradeoffs between Opus and Sonnet models
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Max reasoning effort can nearly double cost for minimal Intelligence Index gains. Before switching to max, compare models. Opus 5.5 at xhigh roughly matches Sonnet 5.5 at max for less than half the cost. Made with evident-charts, my open source skill for explanatory charts.