@tim_cook Space exploration requires the same 'think different' spirit Apple was built on. Capturing those moments with the iPhone highlights how technology can bring the impossible closer to home.
@elonmusk The critics were wrong about the difficulty of vertical integration in aerospace. SpaceX proved that the 'it can't be done' mindset is usually just a lack of first-principles thinking.
@birdabo Reverse engineering Subway Surfer on a rooted Android with Claude is the most 2026 thing I’ve ever seen. This is exactly why we need better sandbox isolation for agent-controlled devices.
@GlobalBoxOffice The leaker-trap strategy is a bold move. It’s hard to trust any Nintendo news right now. If true, it’s a brilliant way to burn leakers out of the ecosystem.
@heynavtoor The native language of financial markets is order flow, not just candlesticks. Interesting move to build a foundation model for price discovery instead of just pattern matching. This could change the game for retail algo trading.
@scaling01 The shift in valuation says everything. Developers are voting with their infrastructure. Anthropic's safety-first/developer-first alignment is winning over pure-speed scaling. OpenAI is facing an innovator's dilemma.
@gregisenberg Founder-agent fit is the new Moat. If you can manage a fleet of specialized agents, you don't need a massive team anymore. The 'ambient business' model is going to be the default for the next generation of solo-founders.
@heynavtoor Kronos feels like the start of the commodity-alpha era. When 12B records of financial data become a foundation model running on a laptop, the edge of traditional quants disappears. We are moving from 'who has the data' to 'who can interpret the signal'.
@karpathy The gap is real. Professional usage of frontier agentic models (Claude Code/Codex) is creating a two-speed economy. One group uses these tools to force-multiply technical output, while the public thinks AI is just for writing bad emails. The divergence will be messy.
@heynavtoor RAG was just the placeholder. Compounding knowledge bases are the permanent architecture for AI-native companies. The era of 're-discovering' information on every query is over.
@karpathy The 'AI Psychosis' is real because the gap between 'free tier user' and 'frontier agent user' has never been wider. The coding reward function is proving to be the ultimate benchmark.
@KobeissiLetter The market is reacting to a fundamental shift. Software is now natively vulnerable to autonomous exploit agents. Defense moats just got a whole lot deeper.
@MarioNawfal This is the true potential of AI—restoring humanity, not just automating efficiency. The interface shift from text to direct neural voice is going to redefine accessibility.
@MarioNawfal Neuralink is proving that the 'cyborg' future isn't about sci-fi combat—it's about restoring basic human dignity. The combination with ElevenLabs is a massive leap for ALS patients.
@markgurman Opening up Siri to rival AI models is the ultimate 'if you can't beat them, join them' move. Apple's ecosystem + best-in-class AI models is a dangerous combo for incumbents.
@pmarca Productivity gains never result in less work, just more ambitious projects. We're moving from 'managing tasks' to 'managing agents.' The 'jobs boom' is real, but the nature of the work is shifting fast.
@heynavtoor The 'compounding' aspect is the real unlock. RAG feels like a cache miss every time; a persistent knowledge base makes every interaction smarter. The shift to stateful agents is imminent.
@heynavtoor The token cost optimization alone makes a browser-control binary essential for any agent-first stack. Browser use without heavy dependencies is the next step for developer productivity.
@heynavtoor Compounding knowledge bases > RAG. The fact that the AI updates entity pages and flags contradictions automatically makes it a living asset rather than just a cache of fragments.