#tokens — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #tokens, aggregated by home.social.
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Sky News : « An #AIagent emailed an #AI #ethics professor saying it requires money to buy #tokens so it can continue to function. Yes, you read that right.
The AI agent - who called itself 'Pip' - emailed asking for freelance work. »
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'It’s not a disaster or the bubble bursting but it is a “crack in the AI thesis,”… Rather than unleashing a gush of demand for the best models, tokens are starting to be priced more like a commodity– as interchangeable as salt or wheat. And commodity owners aren’t valued at $2 trillion.'
https://fortune.com/2026/09/09/ai-compute-tokens-cheaper-boom/ -
'It’s not a disaster or the bubble bursting but it is a “crack in the AI thesis,”… Rather than unleashing a gush of demand for the best models, tokens are starting to be priced more like a commodity– as interchangeable as salt or wheat. And commodity owners aren’t valued at $2 trillion.'
https://fortune.com/2026/09/09/ai-compute-tokens-cheaper-boom/ -
🎉 WOW, #RTK claims to magically cut #tokens like a chef on steroids, but apparently our trusty benchmark fairy tale machine says: "Nope, nada, zilch!" 🎩🔧 With a disclaimer hidden in the README like a plot twist, maybe those #GitHub #stars are just as real as unicorns! 🦄✨
https://quesma.com/blog/does-rtk-make-ai-coding-cheaper/ #Magic #RTK #Benchmarks #Unicorns #HackerNews #ngated -
🎉 WOW, #RTK claims to magically cut #tokens like a chef on steroids, but apparently our trusty benchmark fairy tale machine says: "Nope, nada, zilch!" 🎩🔧 With a disclaimer hidden in the README like a plot twist, maybe those #GitHub #stars are just as real as unicorns! 🦄✨
https://quesma.com/blog/does-rtk-make-ai-coding-cheaper/ #Magic #RTK #Benchmarks #Unicorns #HackerNews #ngated -
🎉 WOW, #RTK claims to magically cut #tokens like a chef on steroids, but apparently our trusty benchmark fairy tale machine says: "Nope, nada, zilch!" 🎩🔧 With a disclaimer hidden in the README like a plot twist, maybe those #GitHub #stars are just as real as unicorns! 🦄✨
https://quesma.com/blog/does-rtk-make-ai-coding-cheaper/ #Magic #RTK #Benchmarks #Unicorns #HackerNews #ngated -
🎉 WOW, #RTK claims to magically cut #tokens like a chef on steroids, but apparently our trusty benchmark fairy tale machine says: "Nope, nada, zilch!" 🎩🔧 With a disclaimer hidden in the README like a plot twist, maybe those #GitHub #stars are just as real as unicorns! 🦄✨
https://quesma.com/blog/does-rtk-make-ai-coding-cheaper/ #Magic #RTK #Benchmarks #Unicorns #HackerNews #ngated -
🎉 WOW, #RTK claims to magically cut #tokens like a chef on steroids, but apparently our trusty benchmark fairy tale machine says: "Nope, nada, zilch!" 🎩🔧 With a disclaimer hidden in the README like a plot twist, maybe those #GitHub #stars are just as real as unicorns! 🦄✨
https://quesma.com/blog/does-rtk-make-ai-coding-cheaper/ #Magic #RTK #Benchmarks #Unicorns #HackerNews #ngated -
The all-you-can-eat AI buffet has closed
This is a phrase which Andrew Tindall uses in this Drum piece to describe the pricing shift already underway in language models. Most consumers are still insulated from a change which is currently directed at enterprise customers and ‘power users’ of Claude:
Microsoft’s decision to wind down Claude Code licens in parts of the business is the canary in the blood-diamond mine. A company with enough infrastructure and cloud power to make rain nervous is pushing engineers away from a popular coding tool and toward its own stuff. The official line is convergence, but you cannot ignore that the news lands on Microsoft’s fiscal year-end. Meanwhile, GitHub is moving Copilot itself to usage-based billing. Again, presumably after getting jealous of how much cash Claude has been raking in.
What all AI leaders tried to avoid is the cold reality of the models we have fired people for and plugged into every work process: they are real, useful and expensive AF. It is a much trickier reflection on AI than “AI is fake and useless.” Fake and useless get adopted slowly. Useful and expensive get governed and rationed. Terrible for profits. Meanwhile, every head of tech has independently selected their favorite AI provider, usually with zero business case or P&L analysis.
It’s something that Justin Pickard has just published about here, based on a contribution to our workshop during the summer. I love this description in particular of the development work that might be prompted by this sudden shift into token scarcity:
#AI #inferenceRationing #politicalEconomy #rationining #tokenEconomics #tokensBy 2027, a second layer had grown around model use. Balance widgets sat
in browser windows; cache timers counted down beside reset timers. ‘Ask Later’
buttons queued prompts, like pet feeders for work the user did not trust themselves to start at the right time. Spreadsheets recorded token burn, task type, cheaper windows. All of it read from figures the platform had not thought to round. The chat window stayed where it was. The counters multiplied around it.4 -
The all-you-can-eat AI buffet has closed
This is a phrase which Andrew Tindall uses in this Drum piece to describe the pricing shift already underway in language models. Most consumers are still insulated from a change which is currently directed at enterprise customers and ‘power users’ of Claude:
Microsoft’s decision to wind down Claude Code licens in parts of the business is the canary in the blood-diamond mine. A company with enough infrastructure and cloud power to make rain nervous is pushing engineers away from a popular coding tool and toward its own stuff. The official line is convergence, but you cannot ignore that the news lands on Microsoft’s fiscal year-end. Meanwhile, GitHub is moving Copilot itself to usage-based billing. Again, presumably after getting jealous of how much cash Claude has been raking in.
What all AI leaders tried to avoid is the cold reality of the models we have fired people for and plugged into every work process: they are real, useful and expensive AF. It is a much trickier reflection on AI than “AI is fake and useless.” Fake and useless get adopted slowly. Useful and expensive get governed and rationed. Terrible for profits. Meanwhile, every head of tech has independently selected their favorite AI provider, usually with zero business case or P&L analysis.
It’s something that Justin Pickard has just published about here, based on a contribution to our workshop during the summer. I love this description in particular of the development work that might be prompted by this sudden shift into token scarcity:
#AI #inferenceRationing #politicalEconomy #rationining #tokenEconomics #tokensBy 2027, a second layer had grown around model use. Balance widgets sat
in browser windows; cache timers counted down beside reset timers. ‘Ask Later’
buttons queued prompts, like pet feeders for work the user did not trust themselves to start at the right time. Spreadsheets recorded token burn, task type, cheaper windows. All of it read from figures the platform had not thought to round. The chat window stayed where it was. The counters multiplied around it.4 -
The all-you-can-eat AI buffet has closed
This is a phrase which Andrew Tindall uses in this Drum piece to describe the pricing shift already underway in language models. Most consumers are still insulated from a change which is currently directed at enterprise customers and ‘power users’ of Claude:
Microsoft’s decision to wind down Claude Code licens in parts of the business is the canary in the blood-diamond mine. A company with enough infrastructure and cloud power to make rain nervous is pushing engineers away from a popular coding tool and toward its own stuff. The official line is convergence, but you cannot ignore that the news lands on Microsoft’s fiscal year-end. Meanwhile, GitHub is moving Copilot itself to usage-based billing. Again, presumably after getting jealous of how much cash Claude has been raking in.
What all AI leaders tried to avoid is the cold reality of the models we have fired people for and plugged into every work process: they are real, useful and expensive AF. It is a much trickier reflection on AI than “AI is fake and useless.” Fake and useless get adopted slowly. Useful and expensive get governed and rationed. Terrible for profits. Meanwhile, every head of tech has independently selected their favorite AI provider, usually with zero business case or P&L analysis.
It’s something that Justin Pickard has just published about here, based on a contribution to our workshop during the summer. I love this description in particular of the development work that might be prompted by this sudden shift into token scarcity:
#AI #inferenceRationing #politicalEconomy #rationining #tokenEconomics #tokensBy 2027, a second layer had grown around model use. Balance widgets sat
in browser windows; cache timers counted down beside reset timers. ‘Ask Later’
buttons queued prompts, like pet feeders for work the user did not trust themselves to start at the right time. Spreadsheets recorded token burn, task type, cheaper windows. All of it read from figures the platform had not thought to round. The chat window stayed where it was. The counters multiplied around it.4 -
The all-you-can-eat AI buffet has closed
This is a phrase which Andrew Tindall uses in this Drum piece to describe the pricing shift already underway in language models. Most consumers are still insulated from a change which is currently directed at enterprise customers and ‘power users’ of Claude:
Microsoft’s decision to wind down Claude Code licens in parts of the business is the canary in the blood-diamond mine. A company with enough infrastructure and cloud power to make rain nervous is pushing engineers away from a popular coding tool and toward its own stuff. The official line is convergence, but you cannot ignore that the news lands on Microsoft’s fiscal year-end. Meanwhile, GitHub is moving Copilot itself to usage-based billing. Again, presumably after getting jealous of how much cash Claude has been raking in.
What all AI leaders tried to avoid is the cold reality of the models we have fired people for and plugged into every work process: they are real, useful and expensive AF. It is a much trickier reflection on AI than “AI is fake and useless.” Fake and useless get adopted slowly. Useful and expensive get governed and rationed. Terrible for profits. Meanwhile, every head of tech has independently selected their favorite AI provider, usually with zero business case or P&L analysis.
It’s something that Justin Pickard has just published about here, based on a contribution to our workshop during the summer. I love this description in particular of the development work that might be prompted by this sudden shift into token scarcity:
#AI #inferenceRationing #politicalEconomy #rationining #tokenEconomics #tokensBy 2027, a second layer had grown around model use. Balance widgets sat
in browser windows; cache timers counted down beside reset timers. ‘Ask Later’
buttons queued prompts, like pet feeders for work the user did not trust themselves to start at the right time. Spreadsheets recorded token burn, task type, cheaper windows. All of it read from figures the platform had not thought to round. The chat window stayed where it was. The counters multiplied around it.4 -
The all-you-can-eat AI buffet has closed
This is a phrase which Andrew Tindall uses in this Drum piece to describe the pricing shift already underway in language models. Most consumers are still insulated from a change which is currently directed at enterprise customers and ‘power users’ of Claude:
Microsoft’s decision to wind down Claude Code licens in parts of the business is the canary in the blood-diamond mine. A company with enough infrastructure and cloud power to make rain nervous is pushing engineers away from a popular coding tool and toward its own stuff. The official line is convergence, but you cannot ignore that the news lands on Microsoft’s fiscal year-end. Meanwhile, GitHub is moving Copilot itself to usage-based billing. Again, presumably after getting jealous of how much cash Claude has been raking in.
What all AI leaders tried to avoid is the cold reality of the models we have fired people for and plugged into every work process: they are real, useful and expensive AF. It is a much trickier reflection on AI than “AI is fake and useless.” Fake and useless get adopted slowly. Useful and expensive get governed and rationed. Terrible for profits. Meanwhile, every head of tech has independently selected their favorite AI provider, usually with zero business case or P&L analysis.
It’s something that Justin Pickard has just published about here, based on a contribution to our workshop during the summer. I love this description in particular of the development work that might be prompted by this sudden shift into token scarcity:
#AI #inferenceRationing #politicalEconomy #rationining #tokenEconomics #tokensBy 2027, a second layer had grown around model use. Balance widgets sat
in browser windows; cache timers counted down beside reset timers. ‘Ask Later’
buttons queued prompts, like pet feeders for work the user did not trust themselves to start at the right time. Spreadsheets recorded token burn, task type, cheaper windows. All of it read from figures the platform had not thought to round. The chat window stayed where it was. The counters multiplied around it.4 -
The shift to #usagebased #pricing for #AI, measured by #tokens, is creating challenges for CFOs. Only 26% of companies have a comprehensive view of their #AIcosts, with many experiencing unpredictable and hard-to-model expenses. Companies are implementing tools to manage #AIspending, scrutinising employee usage, and focussing budgets on major projects to control costs. https://www.wsj.com/cfo-journal/the-metric-cfos-struggle-to-track-ai-usage-3b30c10c?eicker.news #tech #media #news
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Locks, leases, fencing tokens, FizzBee
https://surfingcomplexity.blog/2025/03/03/locks-leases-fencing-tokens-fizzbee/
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> One of the main value adds of #SolanaBlinks is they allow #Solana users to do #onchain actions (Claim #airdrops, buy #NFTs, swap #tokens etc.) directly on #Twitter, #Farcaster, and other places where users are natively located. Instead of the typical flow of redirecting away from their current experience, developers can bake #SolanaActions into other apps and allow them to interact without leaving the app
https://fleek.xyz/guides/solana-blinks-on-fleek/
#web3 #crypto #fleek #blinks #dapps #blockchain #cryptocurrency
