Sometimes you fall off the horse. I did over the last week.
This time, I’m going to try to cover my tracks with gold. Gold flakes, nuggets, maybe even gold teeth.
SuperAgent has recently introduced a new feature that’s worth exploring: Custom Tools. This feature allows you to create your own tools within SuperAgent, opening up a world of possibilities for data manipulation and visualization. (and literally anything you can write a function for…)
One tool that caught my attention is the graph tool. It’s a powerful addition that allows you to visualize data in a more intuitive and insightful way.
A great example of this in action is the Super Stocks project. It uses the graph tool to visualize stock market data, making it easier to spot trends and patterns.
This is just the tip of the iceberg.
In my ongoing journey with AI, I’ve been experimenting with a new approach: dictating directly to AI. This method eliminates the need for additional prompting, allowing me to simply paste the transcript straight into ChatGPT.
This approach has several advantages. It’s faster, as it cuts out the middle step of typing out my thoughts. It’s also more natural, as I can speak my thoughts out loud as they come to me. I’ve been playing with “function words” like “todo” and “end”. It’s amazing how well it catches onto the re-formatting. Just don’t ask for a summary.
Despite these challenges, I’ve found the process to be incredibly rewarding. It’s opened up a new way of interacting with AI, one that feels more natural and intuitive. It’s also made me more aware of how I formulate my thoughts and express them, which has been an interesting exercise in self-awareness.
Soon, I will look like this at work.
For more on my journey with AI and related topics, check out these posts:
I’m intrigued by this concept: “Type as fast as you can. Or paste some badly written text. I’ll rewrite the mess in a proper way.”
It’s an interesting angle on using AI to accelerate workflows. I’m not a perfect typist. I’m probably unaware of just how much time this would save.
I’m particularly interested in applying this concept to bad audio transcripts. Please let me know if you hear of anyone working on this.
gogogo
I was revisiting Curable recently. A question that really stuck out to me, which I’ve been revisiting recently:
“Is this movement dangerous for me?”
We our fear/danger wires get re-inforced over time, this question seems to help uncross the wires.
Defusing the pain bomb, one question at a time.
I recently came across Tavily, an AI-powered platform that aims to revolutionize the way we conduct research. Tavily automates the research process, promising to deliver comprehensive, accurate, and credible research results in a matter of seconds.
Tavily’s approach to research is quite impressive. You simply share what you want to research, and Tavily starts gathering information from multiple online trusted sources. It then organizes the information and provides you with a comprehensive research report within minutes. This process not only saves time but also ensures that you get the most accurate and credible information.
One of the things that caught my attention about Tavily is its flexibility. It can conduct any kind of research, regardless of the subject matter or niche. It isn’t perfect but it is dangerously good. And the team is amazing and super helpful.
My friend Keetu said something very deep recently, which I think is appropriate for Thanksgiving:
“Family Is Where Things Don’t Need to Make Sense”
Sometimes you get lucky on the first try.
(Don’t ask me how many times I completely struck out trying to improve this image.)
Topologically Optimized Turkey
🙏 Thank you! 🙏
The big companies will never catch up.
They won’t be the first to know, even if they are the first to hear.
The tech scout will have a call with the business unit. This will take a few weeks to schedule.
If it’s really interesting, the business unit and the tech scout will have to write a report for the leadership team.
If that goes well, and assuming the CEO also sees something about it on social media, then a committee will be formed to investigate.
The committee will have to write a strategy, a timeline, a budget, and a risk assessment. Maybe even a policy.
No one in the company knows how to do this new thing, so they will have to hire a consultant.
They’ll need multiple competing bids first before they select a consultant. Then the consultant will have to write a report for the committee.
The committee will have to write a report for the leadership team.
The leadership team will have to write a report for the board.
The board will have to make a decision.
A team will have to be formed to implement the decision.
The committee will have to hire the team.
The team will have a lot of new blood, really excited to make a difference.
But before they can do anything, they will have to write a report for the committee.
By the time the budget is approved, the team will have gotten the message that they don’t actually need to do anything to continue to get paid.
But they will try to do something anyway. And it will take longer than expected. And it will cost more than expected. And it will be worse than expected.
The team will have to present it to the committee.
The committee will have to present it to the leadership team.
The leadership team will have to present it to the board.
At this point, no one will remember why they wanted to do this in the first place.
All the while, the small company will have been doing it…with just a few people who are really excited to make a difference, and AI agents to implement their vision.
Apologies for the delay, I’ve been walking on the edge of infinity. It has been quite consuming.
I’m still practicing my discernment.
Some key learnings:
- AI needs editing.
- AI is better at writing than editing.
- It is very easy to propagate errors to infinity.
- Once it works, it cranks.