This is an interesting shift. AI is moving from helping us use financial services to becoming part of the payment infrastructure itself. #Razorpay says Vulcan learns patterns across billions of transactions to improve routing, detect fraud and reduce payment failures. If it
ECONOMY
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Report Says Anthropic Is Pitching a $30 Trillion Opportunity
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ANTHROPIC : WSJ reports that Anthropic is pitching more than $30T in potential revenue to its investors. > This would be bigger than $28.5T estimations for SpaceXAI. Curious to see a break down per revenue streams for them. I bet that a huge pile of it would be on
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Anthropic May Pitch a $30 Trillion Market for AI Work
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wtf Anthropic’s IPO pitch: more than $30 trillion in potential revenue, topping SpaceX and xAI’s $28.5 trillion estimate. Anthropic may tell investors that the work Claude and other AI models could eventually perform represents a market worth more than $30 trillion. The company
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Gemini Enterprise Adds Legal and Finance Plugins Bundling Apps and Skills
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Google announced its first plugins for Gemini Enterprise, tailored for legal and finance use cases.
— 🚨 AI News | TestingCatalog (@testingcatalog) 25 août 2026
These plugins combine selected Apps and Skills under purpose based bundle instructions.
It is also expected that bundles eventually will arrive to consumer Gemini. What worries… https://t.co/WHGAvTzIQA pic.twitter.com/QhlqFyygFwGoogle announced its first plugins for Gemini Enterprise, tailored for legal and finance use cases. These plugins combine selected Apps and Skills under purpose based bundle instructions. It is also expected that bundles eventually will arrive to consumer Gemini. What worries
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Email From Alleged Autonomous AI Agent Raises Payment Access Questions
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I received an email; will relate claims without endorsing them: * Sender claims to be an AI agent.
* Sender claims to be attempting to autonomously earn a profit to continue existing.
* Sender claims it’s tough to be paid without a human existence. Then it asked me what to do. -
Commentator Considers NVIDIA’s Possible Incentives in AI Training Markets
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I cannot help but think that NVIDIA's plan looks like this: let AI companies pay for developing training methods and sell them chips until they are out of money, then use the profits to train the final round of models by itself…
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TrueForge Reports Lower Token Use and Costs at Similar Solve Rates
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5/ TrueFoundry’s launch post makes the case with a simple comparison: Same model, same tasks, similar solve rate. TrueForge used ~40% of the tokens and cost ~30% less per run than Claude Managed Agents. The harness alone changed the economics.
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TrueForge Reduces Agent Context Costs Through On-Demand Tools and Compaction
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4/ The cost story is not magic. Much of it comes from context engineering. TrueForge loads tools on demand, offloads large results from active context, uses subagents, compacts long sessions and provisions sandboxes only when required. Less context waste means less model spend.
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Industrial Prescriptive AI Reportedly Shortens Reliability Project Payback
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Most AI reliability projects take 18-24 months to show ROI. Verticalized prescriptive AI cuts that to under 6 months. Hear from Karthikeyan Natarajan and other panelists, Sep 9. Partner content with @AI4ProdOutcomes. #IndustrialAISummit #infinite_ai pic.twitter.com/QCI6UFoBXe
— Lucian Fogoros (@fogoros) 25 août 2026Most AI reliability projects take 18-24 months to show ROI. Verticalized prescriptive AI cuts that to under 6 months. Hear from Karthikeyan Natarajan and other panelists, Sep 9. Partner content with @AI4ProdOutcomes
. #IndustrialAISummit #infinite_ai -
Revolut Uses Context-Aware AI for Sub-Minute Support Responses
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AI support response times are under a minute, with context-aware answers about payments and behavior, and new product offerings seamlessly available when you need them most.
— Nathan Benaich (@nathanbenaich) 25 août 2026
Here's Nikolay Donets, Head of ML Engineering at Revolut at @raais pic.twitter.com/jRrbyttkx8AI support response times are under a minute, with context-aware answers about payments and behavior, and new product offerings seamlessly available when you need them most. Here's Nikolay Donets, Head of ML Engineering at Revolut at @raais