Seconded. As an analyst who’s tried out AI tools claming to kill the analyst job etc, it for sure doesn’t. If anything, someone can at best leverage those tools to work faster and deliver a higher quality output.
The next few weeks will be challenging.
You'll see many people claim the death of programming, data science, excel, data analysis, and every other discipline you can think of.
They are shitfluencers. Many of them were crypto experts a few months ago. Their best skill is to farm attention from uninformed bystanders. They have never written any code, done any data science, or built any of the skills they now claim as dead.
Ignore them.
They are looking to cash in on OpenAI's Code Interpreter. It's a new tool, and it's impressive.
But it's just a tool.
I spent the weekend playing with it, and while I plan to use it, I have to be clear: do not use Code Interpreter for anything serious if you can't supervise every bit it generates. It will improve tremendously over time, but delegating any work to it at this point is nuts.
And, of course, Code Interpreter is not replacing anybody.
When I started programming in the early 90s, people thought it was stupid and that I should become a doctor or a lawyer, not a weird nerd.
Years later, they told me somebody overseas would take my job for $2/hour. When that didn't happen, no-code solutions were coming after me, and now it's time for AI to replace me: Copilot, then ChatGPT, and finally, Code Interpreter.
The reality is very different.
AI will not take away but create. For every low-skill job that AI renders obsolote, many more will open. The demand for programmers and data scientists has never been higher before and will continue raising.
The attention farmers will eventually move on. There will be a day when selling "100+ ChatGPT prompts to make $1,000 per day" won't be profitable anymore.
Until that day comes, ignore them and get to work.
Google Bard becoming the new Google search and ChatGPT the brainstorming assistant. I don’t see us ever going back.
Nemika B retweeted
perhaps the most underrated & important skill:
being able to evaluate people on their intrinsics (i.e. their intellect, talent, attitude—their true self) VS their extrinsics (i.e. resumé, brands, external signals)
i've met maybe 5 people in my whole life who are great at this
Seems like the pro-innovation regulation by the UK will do some good :)
We are excited to announce OpenAI's first international expansion with a new office in London! 🇬🇧 openai.com/blog/introducing-…
Just as I can never go back to the ThinkPad after using the Mac, I can’t go back to chatpgt after using OpenAI playground - it’s all about the user interface and experience.
The experience of your startup hits different when you’re trying to solve a problem you’re passionate in solving. Easier to view your daily (almost) work as exciting and be closer to your users. They feel the energy too!
Some people who used chatGPT daily and all excited about it now say they switched to using it once per week at most.
Why would that be? Without a daily application in your job, changing habits or paying for it can’t happen that quick.
ChatGPT can be extremely useful, but depends on a person willing to put in time & care to provide instructions to it - this is currently friction to unlocking its power. By providing an interface for doing that, AI tools being created are acting as a facilitator to this friction.
Nemika B retweeted
4 key takeaways from @pmarca's anti-AI doomer essay:
Why AI Will Save the World...
Essay: tinyurl.com/3ad8xn9s
When your user stops looking at the time, continues to elaborate and compliments you for brainstorming together with them instead of executing only what YOU think is right
When someone who's seen and personally experienced something is sharing their thoughts and perspectives, don't argue using your book lessons. Listen. You will almost always learn a fresh one.
Reflecting on past mistakes, even when it stings - your feeling stupid is evidence that you’ve evolved as a person, and is a powerful measure of your progress.
Users dilemma - when they start proposing solutions which could be potential product features. However, that’s your job to decide - keep the focus to listening to their problems, deep-diving as much as you can, then you come up with solutions.
First brutal lesson being users didn’t need what we were going to make (only liked the idea of it) and YC guidelines of talking with users had us pivot timely and quickly. We’re now focusing heavily on user needs for our new idea - a lot of insights coming out of it!
