AI agents are already comparing options and making purchase decisions for us. Example: Claude Code now recommends the best database for your software project. What used to be manual googling and tool comparisons is rapidly becoming an AI's job: research, evaluation and the

Anthropic is now hiring more Sales people than AI researchers and engineers combined They just can't sell Claude fast enough Very interesting shift from the old Anthropic playbook around AGI/Safety Now they seem to be going full go-to-market and getting into every vertical &

Claude Opus 4.7 has achieved AGI

Me and my pal Claude vibing.

Humans think linearly but AI compounds exponentially. We struggle to grasp AI right now because it’s not just improving in one layer. The entire stack (hardware, LLMs, tooling, inference, and agents) is leveling up at the same time. It’s moving faster than our intuition can

Google DeepMind researcher argues that LLMs can never be conscious, not in 10 years or 100 years. "Expecting an algorithmic description to instantiate the quality it maps is like expecting the mathematical formula of gravity to physically exert weight."

Anthropic is currently hiring more sales reps than engineers & researchers. Why? Because in an era of low tech moats and rapid model releases, a killer GTM engine matters more than ever. AI isn't replacing enterprise sales anytime soon. The real edge is still human.

Management is changing fast. Soon, many direct reports will be AI agents, not humans. The job will shift from motivation and conflict resolution to calibration, systems thinking, and orchestration. The best leaders will manage hybrid teams of people and machines.

GStack is a great example of where AI is headed: Not one generic assistant. A whole stack of specialist agents doing product, code, QA, and shipping like a real software team. The next big unlock is better orchestration.

True words, simple is harder than complex.

Yann LeCun says the AI industry is completely LLM pilled.

AI agents will make warm introductions more valuable, not less. Why? Because when everyone can generate endless cold outreach, inboxes get noisier. Trust becomes the scarce resource. A real intro from a credible person will stand out even more.

AI is fundamentally reshaping value creation. Because the technology requires staggering amounts of compute, we are witnessing a massive data center boom. What the market missed: these facilities are generating immense job growth across the board while simultaneously eliminating

This essay by Alex Imas is the best thing I've ever read on why AGI won't lead to mass unemployment. A compelling argument backed up by substantial empirical data.

As people get richer, they become more willing to spend money on goods and services that confer status via exclusivity. One of the few things we can be confident will remain scarce in a post-AGI world is the time and attention of other human beings.

“Stay focused on what really matters.” — Tim Cook

Yann LeCun's bet is crystal clear: The next leap in AI won't come from scaling LLMs. It'll come from JEPA-style world models that actually learn how the world works instead of just predicting the next token. The real frontier is shifting from text completion to genuine

Benjamin Todd 1. I never said LLMs were not useful. They are, particularly with all the bells and whistles that are being added to them. I use them. 2. A robot-rich future can't be built with AIs that don't understand the physical world and don't anticipate the consequences of their actions.