#tokenmaxxing — Public Fediverse posts

I'm so happy that Developers at Spotify don't need to read the code anymore or even need to look their product.

But cool that they released their vibe coding platform for their 1.3k engineers to pursue their productivity fantasies.
#tokenmaxxing #spotify #macos

https://xirp.spotify.com

😔

"If your business is selling tokens, it'd be extremely lucrative for you if the whole society relies on tokens to perform basic operations. That's where we're heading to." #FML #AI #LLM #tokenmaxxing

Software Giant SAP Stops Most Travel and Hiring Because of AI’s Soaring Cost

https://web.brid.gy/r/https://www.404media.co/software-giant-sap-stops-most-travel-and-hiring-because-of-ais-soaring-cost/

Microsoft tells engineers to curb their token-burning enthusiasm

https://www.theregister.com/ai-and-ml/2026/08/05/microsoft-tells-engineers-to-curb-their-token-burning-enthusiasm/5283482

#AI #copilot #dev #development #github
#microsoft #tech #Technology #tokenmaxxing

"Microsoft Tells Engineers ‘Tokenmaxxing Is Not What We Are Optimizing For'". 😂
#AI #Microsoft #Tokenmaxxing

RE: https://bsky.app/profile/did:plc:vcepp6trx4vpe5ourxso4tjl/post/3msdmgsgwr22c

It never fails to amaze me how trends like #tokenmaxxing (which is code for “spend as much money as quickly as you can”) are embraced by people who should know better.

Luckily, more measured approaches seem to prevail by now.

#AI

https://www.404media.co/microsoft-tells-engineers-tokenmaxxing-is-not-what-we-are-optimizing-for/

"Microsoft has introduced new limits to how much its engineers can spend on AI tools at work and told employees that maximizing AI use internally is not the company’s goal.

This makes Microsoft one of the last major companies to rein in its employees’ expensive AI use. Scaling back maximalist AI use, or what some companies have called “tokenmaxxing,” is a trend we’ve covered in recent months as the price for using AI has increased while not always delivering commensurate productivity gains.

“As we accelerate our use of GitHub Copilot to deliver on our goals, we all need to be aware of how we consume tokens,” Jay Parikh, an executive vice president at Microsoft said in an email to Microsoft employees. GitHub is owned by Microsoft, and GitHub Copilot is an AI coding tool. “Tokenmaxxing is not what we are optimizing for. I want all of us focused on maximizing outcomes that move the needle for our customers and our business.”

“As such, we are updating our internal guidance and managing token spend with the same discipline we apply to every other critical resource,” Parikh said in the email."

https://www.404media.co/microsoft-tells-engineers-tokenmaxxing-is-not-what-we-are-optimizing-for/

#AI #GenerativeAI #LLMs #Microsoft #BigTech #TokenMaxxing #Copilot

Microsoft Tells Engineers ‘Tokenmaxxing Is Not What We Are Optimizing For’

https://web.brid.gy/r/https://www.404media.co/microsoft-tells-engineers-tokenmaxxing-is-not-what-we-are-optimizing-for/

Atlassian tightens tracking of staff AI use as other technology firms encourage ‘tokenmaxxing’ | Atlassian | The Guardian
https://www.theguardian.com/technology/2026/jul/30/atlassian-tightens-tracking-of-staff-ai-use-as-other-technology-firms-encourage-tokenmaxxing

#Altassian #AI #GenAI #Tokenmaxxing

Corporate #America Has Suddenly Decided to Stop Blowing Money on #AI
Companies big and small are mixing models and it’s changing the economics
Being economical—or #tokenomical—is a dramatic reversal in mindset. Just a few months ago, it was a badge of honor to be using AI so much that you spent a lot on tokens. Companies rewarded employees for #tokenmaxxing, flashing leaderboards that showed who had spent the most. Now they are #thriftmaxxing.
https://www.wsj.com/business/china-us-ai-model-costs-53a12e96
https://archive.is/20260726022345/https://www.wsj.com/business/china-us-ai-model-costs-53a12e96

Unlimited AI tokens aren’t unlimited after all as US Army burns through supply

https://arstechnica.com/ai/2026/07/us-army-faces-ai-use-limits-after-exhausting-years-supply-of-ai-tokens/

> Troops received an email informing them that they were rapidly depleting their AI tokens.

#AI #tokenmaxxing

I guess - people should use #AI with some context, understanding and use them not as an alternative to human workers, but as a tool, when given to capable humans who make right choices, increases the productivity and profit of the institutions.

So, this is the first post with the tag : #wtfAI

Need your genuine opinion on what you people think about AI. I just need to know about it's impact and popularity in current #society.

1) Is AI actually necessary for humans? We were already good before AI? Is it?

2) AI should be controlled and be put to use for only authorised people - because anyone with a bad intent can do some #TokenMaxxing - AI used as service for cyberattacks.

3) Other unanswered questions that you might have. (Like AI in #biotechnology)

This is just for gathering opinions.

@carnage4life Is #TokenMaxxing the reason #LowTPete #Hegseth came to #Congress begging for $37 billion after getting an almost $1 trillion #Pentagon budget? 🤔

"AI was supposed to replace human labor.
It did the opposite.
For the first time in history, humans are cheaper than software."
@[email protected]
#AI #humans #labor #goldrush #tokens #tokenmaxxing #technology #KI #blueLZ

www.a16z.news/p/the-next-a...?

You just hired a million bad e...

RE: https://cyberplace.social/@GossiTheDog/116908244830825038

All your #tokenmaxxing is lost without #AI #Fluency

@andrewhinton Had the exact same thought when I first encountered the term #TokenMaxxing Pffft, Amatuers I carried an empty bucket to the mall.

#IA #TokenMaxxing #technobros

We start this week with Joseph’s story about the Tokenpocalypse, which is companies scrambling to stop spending so much on AI after providers started charging per AI token

#Tokens #Tokenpocalypse #AI #tokenmaxxing #LOL #LLM

youtube.com/watch?v=Sia4...

The AI Tokenpocalypse Is Here

Palantir и голые токены: как продать «суверенный ИИ» людям, которые не любят терять контроль

Palantir выложил в X пост , который журналисты быстро стали называть «манифестом». Формально это «The Technological Republic, in brief» — промо-выжимка из книги Алекса Карпа и Николаса Замиски The Technological Republic . Если перевести с языка подрядчика для армии, разведки и крупного бизнеса на обычный русский: не отдавайте свои данные поставщикам больших языковых моделей, не считайте внедрение ИИ по расходу токенов, держите у себя модели, следы работы системы и результаты дообучения. Но важно, кто именно это говорит . Palantir вырос не из кружка любителей открытого ПО - компания продаёт софт для соединения данных, прав доступа, предметных моделей и действий оператора; сама она описывает свой рынок как решения «from the factory floors to the front lines». По годовому отчёту за 2025 год, 54% выручки Palantir пришло от государственных заказчиков, 46% — от коммерческих. Это не декоративный раздел "прочие красивые кейсы", а почти половина бизнеса. Поэтому, когда такая компания заводит речь про «экономию на токенах», речь не о бережливости. Речь о новом слое контроля: где живут данные, кто управляет моделью, кто видит запросы, кто получает следы работы системы и кто потом становится обязательной частью всей этой конструкции. Игра по-крупному

https://habr.com/ru/articles/1055498/

#Palantir #суверенный_ИИ #токены #tokenmaxxing #NVIDIA_Nemotron #Alex_Karp #AIP #военный_ИИ #контроль_данных #alpha

The stupid #tokenmaxxing trend ended even inside #Meta, the most stupid of its proponents. https://mlq.ai/news/meta-caps-internal-ai-token-spending-after-costs-approach-billions-in-2026/

WTF?! 4,500 production deploys a day? Every day? To what end? Is that the 'loop engineering' all those people are talking about? That is a bats*it crazy way to develop software. But OK, #Anthropic gets money for the used tokens. Good for them. #tokenmaxxing is pure nonsense.

How #Spotify runs agents across 20M+ lines of code, with Niklas Gustavsson https://www.youtube.com/watch?v=9DHZLw5653E #AI #GenAI #LLM #Claude #ClaudeAI

Agentics / Tech Things: #Tokenmaxxing is dead, long live tokenmaxxing

https://12gramsofcarbon.com/p/agentics-tech-things-tokenmaxxing

#LLM

Demanda artificial https://es.wikipedia.org/wiki/Demanda_artificial

#tokenmaxxing

The AI #tokenmaxxing party is crashing over spiraling costs — leaked consulting firm audio suggests no one is sure… https://www.tomshardware.com/tech-industry/artificial-intelligence/the-ai-tokenmaxxing-party-is-crashing-over-spiraling-costs-leaked-consulting-firm-audio-suggests-no-one-is-sure-how-to-measure-ai-effectiveness

Traducción: no tenemos ni puta idea de lo que estamos haciendo pero queremos todo vuestro dinero. Gracias.

🤦‍♂️ Oh, the grand odyssey of enabling #JavaScript and cookies—truly the Herculean task of our digital age! 🌐 But fear not, brave reader, for once conquered, the world of #tokenmaxxing shall reveal its dull, pointless self in all its fleeting glory 😂.
https://12gramsofcarbon.com/p/agentics-tech-things-tokenmaxxing #Cookies #DigitalAge #WebDevelopment #HackerNews #ngated

Tokenmaxxing is dead, long live Tokenmaxxing

https://12gramsofcarbon.com/p/agentics-tech-things-tokenmaxxing

#HackerNews #Tokenmaxxing #Cryptocurrency #Trends #Innovation #Blockchain

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. .