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Productivity gains from AI are hitting a token-cost wall as costs to AI model users are rising due to decreasing AI model efficiency. As shown in the chart here, the latest AI model releases are less efficient than preceding versions. The operating cost increases from prior models range from +35-75% (i.e. Gemini 3.5 Flash +75% vs. Gemini 3.1 Pro, GPT 5.5 +70% vs. GPT 5.4, Opus 4.7 +35%). In reality, Google, OpenAI, and Anthropic have all raised effective prices in the last six months, degrading the unit economics of frontier AI as they charge more because each model burns more compute per task. Note that companies are pulling back from AI agent use as budgets have been materially exceeded. For example, Uber exhausted its full year 2026 AI budget in just four months. Earlier this week, Microsoft canceled its internal Claude Code licenses after token-based billing made the cost untenable, this move by a company with effectively infinite cloud resources. AI promised productivity gains, but users are balking at the higher costs. #AI #TokenCost #Productivity

@Pascal, the cardio-as-fuel framing is brilliant because it exposes how reductive the "AI replaces humans" narrative really is. The B2B version I see: boards greenlight massive AI investments, then realise they have no answer for what 40% of the workforce actually *does* next Tuesday. Adoption stalls not because the tech fails, but because the social contract inside the company fractures. The companies getting this right are designing for human contribution upfront, not retrofitting dignity as a change management afterthought.

While the prospect of collective action is rarely examined, the evidence of Ai developing the 'survivial instinct' and resisting termination/shut-down, suggests a much more serious problem. Independent moral awareness, and the assumption of 'right to existence'. And this is the Beta version. If machines learn to be human by example, we are in a world of trouble.

David, At this point we may consider survival of the species, 'soft'.

https://chan.alphakek.ai/

Unrealistic, yet still plausible. I enjoyed the plot, although parts of it felt a bit too far-fetched for where we are today. What resonated most, however, was the underlying theme of human existentialism — that part is no longer theoretical; it is already unfolding around us in real time. Moments like this make me wonder whether exploring a path in psychology might be worth considering.

It's garbage and slow.

Growing capabilities!!The real power of models is not just their efficiency, but also what and how they can help us discover. Thanks for sharing.

No - the reflections of a oppressed workers becomes evident in work and sleep and income patterns it doesn’t make the robot a Marxist . Seem the research.

This sounds like a math teacher in the 70's when calculators were first introduced into classrooms.

Insane. Gemini 3.5 Flash already outperforming 3.1 Pro while being faster and cheaper… we’re moving ridiculously fast.

Humans become “batteries” for the machines, just like in “The Matrix”!

Practical examples are where the real learning usually happens. Thanks for sharing this valuable resource. Abhishek Veeramalla

LOL

Artificial intelligence is not good for Natural intelligence. Always chose natural over artificial!

They reduced the limits. It sucks to use Antigravity. Unless something ch anged recently.

The real risk is not that AI helps people think. It is that constant assistance quietly reshapes cognitive behavior itself. Once AI becomes ambient, effort allocation changes: less persistence, less independent reasoning, less tolerance for uncertainty. The dangerous part is not the tool. It is how quickly humans adapt around its availability.

Robert S. Yes like I said it’s horse manure news

Honestly the moat I'd add is the 200 wrong versions you built before the right one. Claude Code can clone what you shipped. It can't clone the failed iterations that taught you why this version works and the others didn't. The code was never the expensive part - the decision history was.

AI is just making you a more effective and faster employeeab employee will still remain an employee trading time for money. If you are an employee, AI will not make you an investor.it takes a completely different state of mind.