Former FTC chair Lina Khan's example. An airline could charge a higher fare because the company knows you just had a death in the family and need to fly that day. The technology exists. It is in production. It is on one in five flights of a major US airline already.
@aihighlight
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Delta Airlines adopts Fetcherr AI for dynamic pricing strategy
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Then Delta. At a December 2024 investor event, Delta's President said the goal is fares set on "the amount people are willing to pay." 3% of flights in July. 20% by end of 2025. The partner is Fetcherr. Their CEO said the AI is trained on "all the data we can get our hands
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Using AI Prompts to Automate Subscription Cancellations
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Fifth prompt: cancel the ones designed to trap you. The FTC sued Amazon over how hard Prime is to cancel. Some services force phone calls. Some only accept written notice. "Find the actual cancellation process for each. Draft a script and a formal cancellation letter."
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Using AI prompts to automate price hike detection
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Fourth prompt: catch the price hikes. Streaming prices rose 13% last year. Your old $9.99 Disney+ is now $18.99. Nobody notices. "Compare each current charge to the charge 12 months ago. Flag every service that raised prices more than 10%."
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Using AI agents to audit and optimize subscription services
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Third prompt: kill the duplicates. Two cloud storages. Three streaming services with the same shows. Adobe and Canva at once. "Group every charge by what job it does. Flag every category where I pay for two or more services doing the same thing. Recommend which to keep based on
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Using AI agents for subscription management and financial auditing
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Second prompt: find what you forgot. The biggest ghost charges are free trials that converted and annual renewals from old signups. "Identify any merchant on this list I would not recognize from the name alone. Tell me what each company is, what service they sell, and the date
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Practical Prompt Engineering for Financial Data Analysis
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First prompt: find every recurring charge. "Review these statements for every recurring charge in the last 12 months. List merchant, monthly amount, annual total, and last charge date. Sort by annual cost highest to lowest."
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Using LLMs for personal financial data analysis
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Export your statements. Open your bank app. Download the last 12 months of every checking and credit card account as a CSV.
Most people have never done this. It takes 4 minutes. Upload all the files to Claude or ChatGPT in one chat. -
Analysis of o1 model performance and prose quality
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The regression from o1 days is something definitely worth the note. Capability went up, prose discipline went down.
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Comparing OpenAI’s Research and Consumer Product Engineering Gap
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This is probably true for research talent specifically. The product and engineering gap with OpenAI on consumer side is a different story.