Thank you. The learning aspect of reading how AI tackles something is rewarding.
It also reduces my hesitation to get started with something I don't know the answer well enough yet. Time 'wasted' on vibe-coding felt less painful than time 'wasted' on heads-down manual coding down a rabbit hole.
I upgraded from M3 Air to M5 Pro 14". Not for LLM, but for faster build times. The disk access time is much faster on M5 Pro. My build time (iOS/Android) was reduced by more than 50%. So, that alone is worth the upgrade.
The technical strategy is sound. However, I anticipate major mobile apps will add MCP capabilities to their app very soon too, making less use of intents going forward.
Production-quality software can now be made in weeks (instead of months and quarters.) I anticipate an exciting period of fast innovation in all industries, supported by lots of good product-engineers with different levels of experience. The areas I am the most excited about is healthcare (as we live longer) and sustainability. It will be fun to be a part of.
We learned computer languages so we can ask computers to do work for us. It was out of necessity because there are no other ways.
If we can instruct computers with natural language 50% of the time, that's 50% less translation work for our human brains. I have no problem with not needing to write instructions in computer languages (no regex, no sed/awk, no python even) for day-to-day stuff.
Critical thinking, reasoning are another story. We can't let those skills atropied.
We should ask how the traders manage this. It's essentially 24/7 markets in the world. For them, the FOMO effects are even stronger... actual money earning opportunity.
I wonder how best we can measure the usefulness of models going forward.
Thumbs up or down? (could be useful for trends)
Usage growth from the same user over time? (as an approximation)
Tone of user responses? (Don't do this... this is the wrong path... etc.)
