Category: LinkedIn

There is such a thing as innate talent despite what experts claim. It isn’t not having to train though. It is requiring far less training than those who are not naturally talented to get the same results

Many folks still use waterfall development, even though they think they are being agile 😅🤭 Vibing with AI is the true antidote to waterfall development! You code, you test, you find gaps, mistakes, assumptions. Then you recode, rinse and repeat! It’s amazing, try it in 2026 if you haven’t so far!

One thing I initially missed about Thousand Brains Project is, when I heard it’s a “sensorimotor” framework, I started thinking about robots, but it really is talking more generally about how “locomotion”/movement is crucial to learning and intelligence. Current AI agrees with TBP on:1) Features: stable patterns that are shared between many inputs Then there…

Hiring got even tougher with AI in the picture, not easier! Hiring was geared towards the junior end of the spectrum to begin with. Checking whether the candidate has internalized data structures, are they aware of and can they answer trivia questions.. Well AI can do all that now. What matters most is high level…

I still struggle with one AI working on its own without supervision for long, let alone multiple agents doing work at the same time.. 😬 AI work cycles are very short.. for any task, simple or complicated, it takes them a few minutes at most to come back. And no matter how detailed the task…

Is AI making us dumber? I’m old enough to remember when GPS first came out and people were questioning it too. Are we going to get dumber and never be able to find our way? The answer is… it depends 😬 Use it well, remain engaged, push back when what it tells you doesn’t make…

Altavista, Excite, Yahoo etc were search 1.0 Google was search 2.0, dominant since early 2000s AI is search 3.0 at the moment.. no less artificial than the ones above and certainly not intelligent but very smart The biggest problem with AI is, since it responds like a person, it makes people believe it knows what…

Nothing is good or evil intrinsically. Put another way, everything has both traits simultaneously and inseparably, like a magnet with N and S poles, no monopoles. So the question isn’t whether AI is bad for us, it certainly can be. The question is how will we choose to use it for the good and betterment…

Working at a unicorn from the very early days, I learned that managing tech debt, as with anything else, is an act of balance. Lean too much towards “moving fast at all cost” and you’ll run into the scenario below. Lean too hard into “we gotta do everything right”, and you risk missing opportunities. So…

When people talk about AI coding performance, they are more than likely talking about “individual task performance”, meaning, I tell AI to code up a feature and it does it. What I’ve seen is, as the project gets bigger and decisions accumulate, not just big architectural decisions but even smaller ones, and bugs show up…