Joe Maule

@ExcelHumor Don’t merge cells, align across selection instead. Merging cells messes up formulas that reference entire columns

@nicochristie This will give rise to the 10x financial analyst

I'm doing live demos of shortcut for big banks and it's becoming a deeply emotional event. "i've never felt this insecure" "the most mind boggling thing i've seen in years" it reminds me of how developers felt with gpt4 or how I imagine a taxi driver would feel in a waymo

Insane rates of tech progress have been normalized

@nicochristie Code please! Looking to give it a try and post about the experience

Shortcut one-shotting banker/PE work while I got coffee. (1/2) "Build me a LBO model based the Moelis 10k for a take-private. My boss thinks this should take all day" (2/2) "Update the existing model to include compounding interest rates from the web" Sending more codes today

Finance teams will start to look very different

@nicochristie I’m interested in trying this out!

Introducing Shortcut — the first superhuman Excel agent. Shortcut one-shots most knowledge work tasks on Excel. It even scores >80% on Excel World Championship Cases in ~10 minutes. That's 10x faster than humans. Our early preview is live. Just comment for an invite code.

@ExcelHumor Save the hardcoding for input cells and make that font blue

excellent job hard coding all those numbers, glad we’re paying you $100,000 a year

The future of education will use personalized, real time feedback through AI to increase learning rates to speeds previously thought unimaginable.

@natemcgrady Please build it!

it would be cool if you could sort your following by engagement, so you could see who you engage with most, and then naturally at the bottom would be accounts that never post or that you never engage with and then you could stop following them

@karpathy I watched your entire LLM training video, and this one is next on my list!

New 2h11m YouTube video: How I Use LLMs This video continues my general audience series. The last one focused on how LLMs are trained, so I wanted to follow up with a more practical guide of the entire LLM ecosystem, including lots of examples of use in my own life. Chapters give a sense of content: 00:00:00 Intro into the growing LLM ecosystem 00:02:54 ChatGPT interaction under the hood 00:13:12 Basic LLM interactions examples 00:18:03 Be aware of the model you're using, pricing tiers 00:22:54 Thinking models and when to use them 00:31:00 Tool use: internet search 00:42:04 Tool use: deep research 00:50:57 File uploads, adding documents to context 00:59:00 Tool use: python interpreter, messiness of the ecosystem 01:04:35 ChatGPT Advanced Data Analysis, figures, plots 01:09:00 Claude Artifacts, apps, diagrams 01:14:02 Cursor: Composer, writing code 01:22:28 Audio (Speech) Input/Output 01:27:37 Advanced Voice Mode aka true audio inside the model 01:37:09 NotebookLM, podcast generation 01:40:20 Image input, OCR 01:47:02 Image output, DALL-E, Ideogram, etc. 01:49:14 Video input, point and talk on app 01:52:23 Video output, Sora, Veo 2, etc etc. 01:53:29 ChatGPT memory, custom instructions 01:58:38 Custom GPTs 02:06:30 Summary Link in the reply post 👇

@money_cruncher Have you looked at the ETF BOXX? Its mandate is to generate a cash equivalent return, while being taxed at a long-term capital gains rate only when sold.

Treasury bills are the most tax-efficient savings vehicles. Yet 99% of people know little about them. Here's how they can replace your savings account:

The most successful people in the AI era won’t be the smartest—they’ll be the most curious. AI rewards the learners, the doers, and the ones who never stop asking “why.”

AI is not about replacing human intuition. It’s about improving it. Combine machine learning insights with your market knowledge for better decisions.

Pilot small projects first. If the team sees real value, it’s easier to justify scaling the solution.

Not every shiny new app is worth it. Check if the tool actually solves a pain point, integrates well, and offers ROI.

Telemedicine, AI diagnostics, and wearable tech are changing patient care and driving investor interest in health-tech.

A good mentor offers shortcuts around pitfalls and expands your network. Their guidance can accelerate your learning curve.

Translate metrics into real-world impact. Show how changes affect customers, employees, or growth, not just the bottom line.

A well-chosen chart or comparison can often explain more than a page of text. Highlight key takeaways with minimal jargon.

In the AI age, success favors the proactive. If you’re hungry to learn, there’s no ceiling on what you can achieve. AI gives you the tools, you bring the drive.