Good morning. It's Monday, November 9, and ChatGPT has picked up a surprising number of new capabilities. Today, we're breaking down 10 features you might have missed, what they actually do, and how to put them to work.
Then: political shifts rattle AI investors, India emerges as a potential safe haven amid the tech selloff, and Meta gives its Muse agent a workspace.
Plus: a prompt to find out what your AI thinks it knows about you (and where it's wrong).
FRONTIER
10 New ChatGPT Features Worth Trying
I spend a lot of time experimenting with AI tools. Maybe not as much as Matt Berman, but a lot. And in the last six months, something has changed. AI isn't just helping me get more done. It's changing how we operate Forward Future, from the amount of work we can take on to the quality of what we produce.
We built a Codex workflow that handles much of the repetitive operational work behind our daily newsletter, from researching stories and organizing our selections to formatting the issue. What used to require 3+ hours of my time now takes about 20 minutes, freeing me up to focus on what matters most: editorial judgment, original analysis, and writing content worth reading.
I've also been building what I call my second brain, an AI assistant that connects my email, meetings, CRM and other business systems. It prepares me for meetings, keeps track of commitments and watches for things that need my attention. A few weeks ago, it caught an incorrect link in an email to a partner without me asking it to check. Small save, but one I might otherwise have missed.
Today, the greatest leverage comes from figuring out what I no longer need to do myself. The models are getting smarter, but connecting them to the right information and giving them useful responsibilities is where I've seen the biggest payoff.
Over the past three weeks, ChatGPT has introduced a bunch of features that make this all easier.
I picked ten worth knowing about. For each, I'll explain what's changed and how I'd put it to work, drawing on things we're already doing at Forward Future and a few experiments I'd like to try next.
A U.S. intelligence memo alleges that China recruited Alice Huang, an executive at Singapore-based Megaspeed, to spy on NVIDIA CEO Jensen Huang. The memo also reportedly claimed the two had a romantic relationship. NVIDIA said their interactions were not unusual and emphasized that it does not share classified information with customers.
About 100 protesters entered the construction site for three Microsoft data center towers in Amsterdam, with some climbing a crane and displaying anti-AI banners. The project predates the city’s ban on new data centers and is moving ahead through existing approvals.
Democratic lawmakers plan to introduce bills on data center electricity costs, independent model testing and company liability when they take control of Congress in January. President Trump could block legislation, but committee control would let Democrats hold hearings and compel industry testimony.
Ramp data shows AI token use continued to rise while customer spending grew only 1.5% across August and September, after a 42% jump in July. Model price cuts, enterprise discounts and tighter customer controls are letting companies do more work for less money.
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MARKETS
Midterms Shake the AI Trade
U.S. technology stocks fell sharply after Democrats won control of Congress, raising the odds of new limits on AI and data center construction. The Nasdaq led the decline as investors reassessed companies whose valuations depend on years of fast AI growth and heavy infrastructure spending. Goldman Sachs expects AI investment to reach $1 trillion in 2026, so even a modest change in policy or demand can move the broader market.
The election did not create every concern. Investors were already questioning whether expensive chips, power and data centers would generate enough profit, while communities pushed back on electricity costs, water use and construction. → Read the full BBC analysis.
INVESTING
An Escape From the AI Trade
Investors are treating India as a possible hedge against the global AI selloff. The Nifty 50 gained nearly 9% over the past month while AI-heavy markets in the United States, Japan, South Korea and Taiwan fell. Foreign investors, who sold more than $31 billion of Indian shares through October, bought more than $2.3 billion over four trading days as money moved away from crowded technology positions.
India’s indexes lean toward banks, consumer companies, energy and industrial businesses rather than AI hardware, which limits their direct exposure to the boom and bust. The trade is not cheap: India still carries higher valuations than China, Brazil, South Korea and Taiwan. → Read the full CNBC report.
HEADLINES
The Rest in 60 Seconds
Muse Gets Persistent Workspace: Meta introduced Spaces, project-specific work areas where its Muse agent can maintain planners and trackers.
AI Becomes a Dating Dealbreaker: SF dating profiles increasingly list AI use, work and risk views as compatibility tests.
Underdog Launches Tiny Offline Voice Model: Its free, 31.7 MB Woof model generates speech directly on devices without internet access.
OpenAI Keeps Investing in Data Centers: CFO Sarah Friar says spending will continue despite midterm voter backlash against data centers.
U.S. and Russia Resist Binding AI Weapons Rules: They oppose a timetable for talks on binding autonomous weapons limits at a UN conference.
AI Clones Could Speed Up GTA VI’s PC Release: An ex-Rockstar tech director says AI reverse engineering could force an earlier official port.
DAILY TOOL
Turn Table Images Into Spreadsheets
 | JPG2Excel converts table screenshots, scans and photos into editable XLSX, XLS or CSV files. It detects rows, columns, headers and numbers, and supports 109 OCR languages.→ Try JPG2Excel. |
PROMPT OF THE WEEK
Audit What Your AI Thinks You Are
AI tools now carry memory across conversations, which means every answer is quietly shaped by a profile of you that you've never reviewed. This prompt makes the AI show its work.
Briefly summarize your understanding of who I am, how I work, and where your assumptions may be wrong.
List your beliefs about my role, goals, skills, preferences, constraints, communication style, and projects.
Rate each belief (1–10 confidence), cite supporting evidence, and flag anything potentially outdated.
Identify the 5 weakest assumptions and explain how they might distort your responses.
Find 3 gaps in what you know about how I work and explain what they might suggest.
Be blunt, not flattering. Don't invent evidence. If you lack sufficient history, say what's missing.
