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OpenAI launches ChatGPT for personal finance, will let you connect bank accounts

Key Takeaway: OpenAI is launching personal finance tools for ChatGPT Pro users that let them connect bank, credit card, and investment accounts to get AI-powered spending insights, portfolio tracking, and financial planning help.

More Insights:

• OpenAI partnered with Plaid so users can connect accounts from over 12,000 financial institutions.

• The new Finances dashboard can show spending, subscriptions, upcoming payments, and portfolio performance.

• Users can ask questions like why spending increased or how to plan for buying a home.

• The feature is currently available in preview for U.S. ChatGPT Pro users on web and iOS.

• OpenAI plans to support Intuit later, which could help with tax-related and credit approval analysis.

Why it matters: This moves ChatGPT from giving general financial advice to analyzing your actual financial life, which could make AI far more useful—but also raises the stakes around trust, privacy, and how much control people are willing to give an AI over sensitive money decisions.

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OpenClaw creator burns through $1.3 mio in OpenAI API tokens in a single month

Key Takeaway: OpenClaw creator Peter Steinberger’s three-person team used roughly 100 Codex agents to generate 603 billion tokens and 7.6 million requests in one month, revealing how expensive large-scale AI coding automation can become.

More Insights:

• The team spent $1.3 million in OpenAI API usage over 30 days, covered by OpenAI.

• Around 100 AI coding agents worked on tasks like reviewing PRs, scanning security issues, deduplicating GitHub issues, and writing fixes.

• The bill was inflated by Codex’s Fast Mode, which Steinberger said raised costs far above standard execution.

• Without Fast Mode, the same usage may have cost around $300,000, still an extreme level of AI coding spend.

• The story highlights how tools like Codex, Claude Code, and Cursor may be heavily subsidizing power users to win developer adoption.

Why it matters: This shows the hidden economics of AI coding: the future may not be limited by what agents can do, but by who can afford to run them at scale.

Google’s Gemini Omni turns images, audio, and text into video — and that’s just the start

Key Takeaway: Google unveiled Gemini Omni, a new multimodal AI model family that can combine text, images, audio, and video to generate realistic 10-second videos and eventually create media across any format.

More Insights:

• Gemini Omni can reason across multiple inputs instead of simply stitching media together.

• The first release, Gemini Omni Flash, rolls out to Gemini, YouTube Shorts, and Flow.

• Users can create videos with personal digital avatars after identity verification.

• Google will add SynthID watermarks to Omni-generated videos to help prevent deepfakes.

• Omni is aimed at consumers now, but Google sees major future use in advertising, filmmaking, and creator tools.

Why it matters: Google is pushing AI beyond chat and image generation into full “reality simulation,” where anyone can turn an idea, photo, voice, or clip into polished video — a shift that could make creativity more accessible while making authenticity harder to trust.

Other stuff

• Federal court rejects Elon Musk’s claims against OpenAI, saying he filed his lawsuit too late

• OpenAI seals deal in Malta to give all Maltese access to ChatGPT Plus

• OpenAI co-founder Andrej Karpathy joins Anthropic’s pre-training team

• SpaceX IPO set to ensure Elon Musk cannot be fired

• OpenAI is making it easier to check if an image was made by their models

• Musk's xAI Fails to Pay Staff $420 for Giving Their Tax Returns to Grok

• OpenAI and Khan Academy Made a Chatbot. What Can We Learn?

• Anthropic's Mythos helped find macOS bugs that bypass Apple security

• 'A' grades are suddenly everywhere since the arrival of ChatGPT

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