Market
Short notes on what is happening with AI inside companies, with the source and my reading.
Adriano's reading: According to OpenAI, people already create 4 billion images a week across ChatGPT, Codex, and the API. I see room to bring these controls into product-team workflows, measuring response time, cost, and quality.
Source: openai.comAdriano's reading: For teams that put support agents into production, that pace changes the calendar. Less time stuck on each version leaves more room to adjust the product based on what people actually need.
Source: nu.comAdriano's reading: Those numbers help compare systems on work that often takes days of human attention. They also give a shared reference for teams building finance products.
Source: juliusresearch.aiAdriano's reading: For product teams, a clear path to use and adapt the model matters as much as the launch itself. I am watching whether Tinker available now, with that file release planned after the review, makes customization more practical day to day.
Source: thinkingmachines.aiAdriano's reading: Access to connected accounts is read-only. Personal Finance cannot move, manage, or invest money, and it does not offer its own credit cards, loans, or accounts. Anthropic says there are no ads or sponsored recommendations, and that conversations in the Personal Finance hub are not used to train its models.
Source: claude.comAdriano's reading: According to Wealthsimple, Penny only completes a transfer, a trade, or any other action after client confirmation, inside the platform’s environment. The company also previewed future connections from Wealthsimple accounts to ChatGPT and Claude, with availability expected in early 2027.
Source: newsroom.wealthsimple.comAdriano's reading: What stood out to me was consistency. Each model got three attempts per scenario, and all three passed together only 34.2% of the time. In about 54% of failed runs, the model still recommended a purchase. The test covers discovering the customer’s requirements and making the correct buy or no-buy decision.
Source: usa.visa.comAdriano's reading: I see room for this use of AI in financial services. Finding the cause of a failure requires gathering evidence from different systems. Helping teams with that investigation has value for businesses that need to keep services available.
Source: businesswire.com
