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Gillesray

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Should Sam Altman fear token compression?

6 points·by Gillesray·4개월 전·0 comments

Should Sam Altman fear token compression?

edgee.ai
6 points·by Gillesray·4개월 전·1 comments

You Can't Optimize What You Can't See. AI Cost Observability

edgee.ai
1 points·by Gillesray·5개월 전·1 comments

Who's in Charge? Disempowerment Patterns in Real-World LLM Usage

arxiv.org
2 points·by Gillesray·5개월 전·1 comments

Will I Be Paid in Tokens?

tomtunguz.com
6 points·by Gillesray·5개월 전·5 comments

AI economics looks like cloud's one

edgee.ai
3 points·by Gillesray·5개월 전·1 comments

comments

Gillesray
·4개월 전·discuss
AI bills are exploding despite costs dropping 10x every 18 months because every saving gets reinvested into more usage.

BUT: - Today's prices are subsidized (OpenAI losing $14B in 2026, Anthropic burning $12B in one quarter, Cursor alleges that a $200/month Claude Code subscription could cost up to $5,000 in compute.) - When subsidies end, prices reverse into a 10x larger consumption base - That's the double squeeze nobody is modeling for Companies building token efficiency now won't feel it. The rest will. And Altman? Cheaper AI to run = more use cases justified = bigger market for frontier models.
Gillesray
·5개월 전·discuss
Although AI assistants are now deeply embedded in society, there has been limited empirical study of how their usage affects human empowerment. We present the first large-scale empirical analysis of disempowerment patterns in real-world AI assistant interactions, analyzing 1.5 million consumer Claude.ai conversations using a privacypreserving approach. We focus on situational disempowerment potential, which occurs when AI assistant interactions risk leading users to form distorted perceptions of reality, make inauthentic value judgments, or act in ways misaligned with their values.
Gillesray
·5개월 전·discuss
50% around coding, they nail the first usage
Gillesray
·5개월 전·discuss
very interesting
Gillesray
·5개월 전·discuss
indeed. It tells a lot of about token ecosystem
Gillesray
·5개월 전·discuss
Technology companies are adding a fourth component to engineering compensation : salary, bonus, options, & inference costs. Levels.fyi pegs the 75th percentile software engineer salary at $375k. Add $100k in inference & the fully loaded cost is $475k. That’s 21% in tokens.
Gillesray
·5개월 전·discuss
Enterprise AI spending jumped 3.2× in 2025 to $37B (Gartner), while inference costs dropped 90%.

The paradox isn't new, it's cloud economics on fast-forward.

What took cloud 10 years to reveal is happening in AI in 2-3 years: a) Low unit costs → elastic, untracked adoption b) Agentic workflows multiply requests 10-50× c) Cost drivers are architectural (retries, context bloat), not volumetric d) Finance sees the bill only when it's too late to re-architect

Rigorous cost governance will be essential to realizing AI ROI.