I predict organizations of agents will outperform pure task-based routers on price/performance.
ECONOMY
-
AI Companies’ Model Portfolios Shape Their Scaling Predictions
By
–
The discussion here on AI futures can be a little too credulous of company visions. People tend to push what they have. The three big AI labs will say bigger models are the future. Every other firm has only small models to sell, so they will tell you small models are the future.
-
Fable 5 Leads CursorBench but Costs the Most per Task
By
–
Claude Fable 5 is available again in Cursor. It leads all models on CursorBench, but is the most expensive per task.
-
Palantir CEO Says Enterprises Want Control of Their AI Stack
By
–
Palantir CEO Alex Karp says enterprises are fed up with AI labs that "oversold" models and pushed tokenmaxxing.
— Chubby♨️ (@kimmonismus) 1 juillet 2026
Customers want to own the full AI stack with Palantir + NVIDIA at the center.
Absolute cinema. Worth watching until Fable isnt back.pic.twitter.com/uIe19iIqwNPalantir CEO Alex Karp says enterprises are fed up with AI labs that "oversold" models and pushed tokenmaxxing. Customers want to own the full AI stack with Palantir + NVIDIA at the center. Absolute cinema. Worth watching until Fable isnt back.
-
Long Claude Code Workflows Consume Limits on AI Experiments
By
–
🚨 STOP BURNING CLAUDE CODE LIMITS ON LONG DEV LOOPS
— Charly Wargnier ♨️ (@DataChaz) 1 juillet 2026
You know it: Claude Code is fantastic at coding, but extended workflows drain your limits fast.
Tasks like evaluating prompts, comparing models, debugging RAG, generating datasets, and running experiments get expensive… pic.twitter.com/lp7H9WpDDZSTOP BURNING CLAUDE CODE LIMITS ON LONG DEV LOOPS You know it: Claude Code is fantastic at coding, but extended workflows drain your limits fast. Tasks like evaluating prompts, comparing models, debugging RAG, generating datasets, and running experiments get expensive
-
Anthropic Reportedly Overtakes OpenAI Among Paying US Businesses
By
–
🔥The race to dominate enterprise AI
— Amitav Bhattacharjee (@bamitav) 1 juillet 2026
Anthropic's recent surge has propelled it past #OpenAI to become the leading paid AI provider for U.S. businesses, marking a shift in the #AI race from model superiority to workflow dominance!
##anthropic #claude #AIrace #AI… pic.twitter.com/zR1cG7rNRrThe race to dominate enterprise AI Anthropic's recent surge has propelled it past #OpenAI to become the leading paid AI provider for U.S. businesses, marking a shift in the #AI race from model superiority to workflow dominance! ##anthropic #claude #AIrace #AI
-
Reselling Excess AI Compute Raises Questions About Capacity Overbuilding
By
–
Reselling “excess AI processing capacity”: first $SPCX
, now $META
. In a rational world these moves would be seen as signs that we have *already* started to overbuild. -
A 2017 TED Talk on AI, Robotics, and Job Displacement
By
–
Watch my TED talk, in which I explain why "this time is different" and that advances in #AI and robotics will lead to a jobless future and the need for a new economic paradigm and social contract. This is from 2017.#RiseoftheRobots pic.twitter.com/Kp9mgFjBrW
— Martin Ford (@MFordFuture) 1 juillet 2026Watch my TED talk, in which I explain why "this time is different" and that advances in #AI and robotics will lead to a jobless future and the need for a new economic paradigm and social contract. This is from 2017. #RiseoftheRobots
-
AI Token Spending Risks Becoming Another Misleading Productivity Metric
By
–
“Tokens spent” is about to become the new lines of code. Easy to measure.
Easy to dashboard.
Easy to misunderstand. We’ve done this before: Lines of code rewarded bloat.
Story points became theatre.
Pull request counts turned collaboration into activity tracking. Now AI gives -
AI May Increase Software Engineering Demand Without Causing Mass Unemployment
By
–
The current wave of AI technology will not lead to mass unemployment. In fact, its impact on the labor market should be minimal, consisting mostly of increasing demand for software engineers.