Gemini 3 Deep Think generated a real-time 3D WiFi radar that maps every network around you as glowing nodes in a Matrix-style space — in one shot. It used Pearson correlation to infer which APs are physically close, since RSSI alone isn't enough.
+1 for "context engineering" over "prompt engineering".
People associate prompts with short task descriptions you'd give an LLM in your day-to-day use. When in every industrial-strength LLM app, context engineering is the delicate art and science of filling the context window with just the right information for the next step. Science because doing this right involves task descriptions and explanations, few shot examples, RAG, related (possibly multimodal) data, tools, state and history, compacting... Too little or of the wrong form and the LLM doesn't have the right context for optimal performance. Too much or too irrelevant and the LLM costs might go up and performance might come down. Doing this well is highly non-trivial. And art because of the guiding intuition around LLM psychology of people spirits.
On top of context engineering itself, an LLM app has to:
- break up problems just right into control flows
- pack the context windows just right
- dispatch calls to LLMs of the right kind and capability
- handle generation-verification UIUX flows
- a lot more - guardrails, security, evals, parallelism, prefetching, ...
So context engineering is just one small piece of an emerging thick layer of non-trivial software that coordinates individual LLM calls (and a lot more) into full LLM apps. The term "ChatGPT wrapper" is tired and really, really wrong.
Something I find obvious but am realizing is very non-consensus: almost no one should ever go to college, and people should start working at age 14-16 instead (what I did)
1/ it's a very modern idea that you're not supposed to start your active life until you're 23-25, and it's quite harmful imo.
You have all these 20-somethings that are basically babies — and worse: not only do they not realize they're late, they actually are lulled into thinking that they have all the time in the world ahead of them, that "their 20s are for fucking around." This is also an obvious and big contributor to the fertility crisis.
2/ People think that this is justified by modern jobs being much more complex / intellectually demanding.
But Ben Franklin started working full-time at 12, Carnegie at 13, Rockefeller at 16. You can't exactly argue these folks weren't smart or sophisticated, or their jobs not extremely complex.
3/ More pragmatically, ask yourself who you'd rather hire between a 22 year-old who's been working for 7 years, and one who's straight out of college. I view the former as basically senior, probably even ready to lead a team — the latter as next to useless (which is why new grads struggle to find a job so much).
It's basically common knowledge that college years are mostly spent fucking around / going to parties — insane that we accept this as normal, and that's before even talking about the hundreds of thousands of dollars in debt that people get into for these party years.
So, not only people spend less of their time acquiring useful skills while in college — what little they spent is _spent less well_, because it's A) removed from a concrete context B) taught by far-left boomers with very outdated skills (recently met a new grad from a design school who was using Photoshop(!!) to design mobile apps).
I've been on this little blue dot for 45 years now. Seen computers go from 1 Mhz C64s to M chips. Seen the internet rise in the 90s. Mobile in the 00s. And this is the first time I've felt I have no clue what the world will look like in four years. Exhilarating time to be alive.