Hello Bioinformatics lovers,

Tommy here. Another issue of the chatomics newsletter.

Honest question: What's the real efficiency gain of AI in your workflow?

Even for coding, it is more likely 2x (or less) my efficiency rather than 10x.
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For data analysis, now I can do much faster experiments, but need more time to verify the logic and results.

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Biology domain knowledge is your edge.
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For software engineering, I can quickly vibe code an application but probably need a real software engineer to make it production level.

I vibe-coded a web app, and it kept messing up the login and authentication logic and over 40 hours was lost.

I am not a software engineer, I do not know much on the front-end or back-end.
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​Security and scaling need real expertise too.

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AI definitely is changing my way of working.
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You can learn things quickly.
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You can prototype much faster.
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But, What's your real efficiency gain?

Today's newsletter is a little late. I am going to do a presentation at 11 am EST to Nigeria students on AI and Bioinformatics.

Download the slides here: AI in Bioinformatics: Will You Be the Pilot or the Passenger?

Happy Learning!

Tommy aka crazyhottommy

PS:

If you want to learn Bioinformatics, there are four ways that I can help:

1. My free YouTube Chatomics channel, make sure you subscribe to it.
2. I have many resources collected on my github here.
3. I have been writing blog posts for over 10 years https://divingintogeneticsandgenomics.com/​
4. Lastly, I post daily on Linkedin https://www.linkedin.com/in/%F0%9F%8E%AF-ming-tommy-tang-40650014/recent-activity/all/​

Stay awesome!