My friend makes $850,000/year as an Anthropic AI engineer.
No MIT. No Stanford. No PhD.
I asked him how he broke into AI from scratch.
He sent me a course that was never supposed to get out. A developer teaching to build self-improving AI agents from scratch.
You will learn exactly how AI agents like Claude Code and OpenClaw are actually built.
You won't find anything better about becoming an AI engineer in 2026 than this video.
I watched it last night.
Halfway through, I realized I could land a role at a top AI lab in months, not years.
Bookmark this and read the article below.
Marc Andreessen: “The best entrepreneurs of the future will be quite skilled at 6-8 things”
Marc is asked how being a founder changes in the age of AI, to which he responds:
“I think there are two ways to have a differentiated edge in general — go deep or go broad.”
Going deep means becoming a specialized expert in your domain.
“There are domains where that really matters,” Marc explains. “In biotech and working on AI foundation models, the deeper you are the better.”
But as AI gets more powerful, Marc would bet that “going broad” will be the winning strategy for most fields. He recommends knowing a lot about many different fields and how the world works — then use AI tools to go deep whenever you need to.
“If you talk to any of the great CEOs, you see this.” Mark explains. “The really great CEOs are great at product, sales, and marketing people, they’re great legal thinkers, and they’re great at finance and with investors and the press. It’s a multidisciplinary kind of approach.”
He continues:
“The best entrepreneurs of the future will probably be quite skilled at 6 or 8 things and then will be able to cross-pollinate and combine them.”
Source: @tbpn (May 2025)
More test-time compute leads to greater intelligence. But as we push ttc from seconds to weeks, latency becomes a bottleneck.
GPT-5.6 Sol Ultra scales parallel ttc. The time taken to generate a proof to a 50-year-old problem drops from perhaps a whole day to a single hour.