#tokens — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #tokens, aggregated by home.social.
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Ma vision de ce qu’on appelle « IA »
L’« IA » fait couler beaucoup d’encre en ce moment ; c’est bien normal. C’est un outil hors du commun, et on peut vite tomber dans une vision magique qui attise tous les fantasmes. Il me semble important de prendre un peu de recul et de réflexion, après une bonne expérimentation.
Je ne cherche à convaincre personne. Je donne ma vision, à partir de mon usage quotidien. J’y parle des vendeurs de miracle, du générateur statistique de tokens, et de l’image qui m’aide le plus à penser cet outil : une encyclopédie d’un genre nouveau.
L’article complet est sur mon site : https://atelier.clavelier.me/articles/ma-vision-de-ce-quon-appelle-ia/
#IA #LLM #IntelligenceArtificielle #Tokens -
Ma vision de ce qu’on appelle « IA »
L’« IA » fait couler beaucoup d’encre en ce moment ; c’est bien normal. C’est un outil hors du commun, et on peut vite tomber dans une vision magique qui attise tous les fantasmes. Il me semble important de prendre un peu de recul et de réflexion, après une bonne expérimentation.
Je ne cherche à convaincre personne. Je donne ma vision, à partir de mon usage quotidien. J’y parle des vendeurs de miracle, du générateur statistique de tokens, et de l’image qui m’aide le plus à penser cet outil : une encyclopédie d’un genre nouveau.
L’article complet est sur mon site : https://atelier.clavelier.me/articles/ma-vision-de-ce-quon-appelle-ia/
#IA #LLM #IntelligenceArtificielle #Tokens -
Ma vision de ce qu’on appelle « IA »
L’« IA » fait couler beaucoup d’encre en ce moment ; c’est bien normal. C’est un outil hors du commun, et on peut vite tomber dans une vision magique qui attise tous les fantasmes. Il me semble important de prendre un peu de recul et de réflexion, après une bonne expérimentation.
Je ne cherche à convaincre personne. Je donne ma vision, à partir de mon usage quotidien. J’y parle des vendeurs de miracle, du générateur statistique de tokens, et de l’image qui m’aide le plus à penser cet outil : une encyclopédie d’un genre nouveau.
L’article complet est sur mon site : https://atelier.clavelier.me/articles/ma-vision-de-ce-quon-appelle-ia/
#IA #LLM #IntelligenceArtificielle #Tokens -
Ma vision de ce qu’on appelle « IA »
L’« IA » fait couler beaucoup d’encre en ce moment ; c’est bien normal. C’est un outil hors du commun, et on peut vite tomber dans une vision magique qui attise tous les fantasmes. Il me semble important de prendre un peu de recul et de réflexion, après une bonne expérimentation.
Je ne cherche à convaincre personne. Je donne ma vision, à partir de mon usage quotidien. J’y parle des vendeurs de miracle, du générateur statistique de tokens, et de l’image qui m’aide le plus à penser cet outil : une encyclopédie d’un genre nouveau.
L’article complet est sur mon site : https://atelier.clavelier.me/articles/ma-vision-de-ce-quon-appelle-ia/
#IA #LLM #IntelligenceArtificielle #Tokens -
Ma vision de ce qu’on appelle « IA »
L’« IA » fait couler beaucoup d’encre en ce moment ; c’est bien normal. C’est un outil hors du commun, et on peut vite tomber dans une vision magique qui attise tous les fantasmes. Il me semble important de prendre un peu de recul et de réflexion, après une bonne expérimentation.
Je ne cherche à convaincre personne. Je donne ma vision, à partir de mon usage quotidien. J’y parle des vendeurs de miracle, du générateur statistique de tokens, et de l’image qui m’aide le plus à penser cet outil : une encyclopédie d’un genre nouveau.
L’article complet est sur mon site : https://atelier.clavelier.me/articles/ma-vision-de-ce-quon-appelle-ia/
#IA #LLM #IntelligenceArtificielle #Tokens -
🤑 Salesforce blames its Claude addiction for denting profit margin guidance
“Roughly about six months ago we unleashed Claude in our R&D cycle. It's part of the reason we didn't raise margin guidance on the year because we're covering some of the token spend that we've got going. And the goal of that really was to, let's see what we could break”
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🤑 Salesforce blames its Claude addiction for denting profit margin guidance
“Roughly about six months ago we unleashed Claude in our R&D cycle. It's part of the reason we didn't raise margin guidance on the year because we're covering some of the token spend that we've got going. And the goal of that really was to, let's see what we could break”
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🤑 Salesforce blames its Claude addiction for denting profit margin guidance
“Roughly about six months ago we unleashed Claude in our R&D cycle. It's part of the reason we didn't raise margin guidance on the year because we're covering some of the token spend that we've got going. And the goal of that really was to, let's see what we could break”
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🤑 Salesforce blames its Claude addiction for denting profit margin guidance
“Roughly about six months ago we unleashed Claude in our R&D cycle. It's part of the reason we didn't raise margin guidance on the year because we're covering some of the token spend that we've got going. And the goal of that really was to, let's see what we could break”
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🤑 Salesforce blames its Claude addiction for denting profit margin guidance
“Roughly about six months ago we unleashed Claude in our R&D cycle. It's part of the reason we didn't raise margin guidance on the year because we're covering some of the token spend that we've got going. And the goal of that really was to, let's see what we could break”
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Will economic constraints on token use in organisations drive the emergence of norms?
I’ve been following the token maxxing discourse with interest. Essentially we’ve seen a tendency to equate quantity of tokens used with the extent of AI integration. It’s hard to measure integration so organisations have turned to the proxy of tokens, assuming that the more tokens you are using then the more you are integrating LLMs into your work. The problem with this is two fold:
- At present tokens are essentially being subsidised by investors in AI labs interested in maximising adoption of the products. The costs of token to the lab are either minimised for the end user or entirely removed from the equation with unmetered access.
- The assumption that more use = better is obviously untenable with even a rudimentary knowledge of the ethical and epistemological risks of language models. Further, more use of LLMs might be worse for the organisation because it hinders other forms of work which are essential to the organisation’s mission.
There is a significant shift underway which is going to change how LLMs are used within organisation, summarised here by 404 media:
The news highlights a major shift in the tech industry and other companies that use AI: the wave of uninhibited AI growth is over. Some AI providers like GitHub are now charging customers per token rather than a flat subscription fee, leading some companies to burn through their tokens. Uber recently capped employees’ use of AI tools like Claude Code and Cursor; that came after Uber told employees to use AI as much as possible and Uber’s CTO said the company had blown its entire AI budget in four months. And Accenture itself reportedly started requiring senior staff to start using AI or risk losing out on promotions.
I was wrong to believe that model development was flatlining. A week with Claude Fable, the continual development of Claude Opus and my begrudging appreciation of GPT 5.5 leave me persuaded we’ve come along way since GPT 5. However even if the models are getting more capable, to what extent are those capabilities becoming more expensive? I managed to burn through £100+ in five days playing with Claude Fable and I constantly have Opus switched to max now, even when I vaguely know it’s wasteful. There’s a whole style of use which has taken hold here which isn’t sustainable and is increasingly hitting a brick wall.
For individuals it raises the question of what you’re willing to pay for. I switch to Max plans when I have a special reason to do so but I never keep the subscription any more. I hit the rate limits with Claude so frequently that it’s left me thinking more carefully about what I do want to use models for and what I don’t want to use models for. The same process is inevitably going to take place in organisations I think in the sense of resource constraints necessitating evaluative criteria for desirable and undesirable use of the model. .
#AIIntegration #compute #economics #organisations #tokenMaxxing #tokens -
Use old Chuck E Cheese tokens for AI credit because crumbling animatronics at a closed pizza joint really screams AIeeeee!
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Move out of the way NYSE, Nasdaq is approved by the SEC to enable participants to opt-in to settle trades of blockchain-based versions of stocks, like traditional shares.
This is an initial pilot/test program with the Depository Trust Company (DTC), which will handle clearing and settlement of tokenized trades. https://www.coindesk.com/policy/2026/03/18/sec-approves-nasdaq-s-move-to-allow-tokenized-securities-trading #Nasdaq #SEC #DigitalAssets #Tokens #BlockChain #Crypto #Investing #Stocks #StockTrading #StockMarkets #DTC #Tokenization #Securities
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Common Corpus, an open training set for AI, goes global – and so should support for itAs many of the AI stories on Walled Culture attest, one of the most contentious areas in the latest stage of AI development concerns the sourcing of training data. To create high-quality large language models (LLMs) massive quantities of training data are required. In the current genAI stampede, many companies are simply scraping everything they can off the Internet. Quite how that will work […]
#aiAlliance #commonCorpus #curation #euAiAct #financeCommons #france #gdpr #github #legalCommons #llms #multilingual #openCulture #openGovernment #openScience #openSource #openWeb #pdf #permissiveLicensing #pleias #publicDomain #scraping #tokens #toxicity #wikimedia #youtube https://walledculture.org/common-corpus-an-open-training-set-for-ai-goes-global-and-so-should-support-for-it/ -
Klaytn Foundation Proposes Burning 5.28B KLAY in Tokens Overhaul, Cutting Token Supply by Nearly 50% - The proposal includes short-term tokenomics improvements: from the initial burning of 73%... - https://www.coindesk.com/markets/2023/02/22/klaytn-foundation-proposes-burning-528b-klay-in-tokens-overhaul-cutting-token-supply-by-nearly-50/?utm_medium=referral&utm_source=rss&utm_campaign=headlines #tokengovernance #markets #tokens #klaytn #news #defi #data