OpenDoor Venture Capital is a Los Angeles based company founded by Ken Fried. Our mission is to find and invest in the next generation of innovative start-ups.
@saylordocs Agreed on the massive deflationary scenario from Optimus (and ai) ->not a good scenario then for btc esp if the productivity surge swings never ending fiscal deficits the other way, or at least swings it back to 3% of GDP. BTC consensus is never-ending deficits
🚨 Elon Musk Drops News About CyberCab, FSD and Optimus
00:00 – Welcome & what’s exciting about Tesla
00:24 – Full Self-Driving, AI & European rollout
01:20 – Optimus humanoid robot
02:15 – Cyber Cab, Semi & future products for Europe
03:59 – Tesla’s transformation of the auto industry
04:52 – State of European & German automotive industry
10:01 – Giga Berlin memories
12:08 – Vision for Giga Berlin
13:50 – Employee Questions
20:01 – Advice for young people
22:50 – Closing & Dankeschön
$TSLA
Most AI systems today are built on retrieval. Search, summarize, respond.
That approach works for basic information access. It breaks down the moment decisions become complex, continuous, and high stakes.
In this blog post, we explain why Retrieval Augmented Generation is fundamentally reactive and why it cannot support autonomous reasoning at scale. RAG systems require users to know what to ask, cannot retain context over time, struggle with compounding knowledge, and retrieve facts without understanding global relationships or implications. They read fragments. They miss the strategic picture
Accrete’s Knowledge Engines were built to solve a different problem.
Instead of retrieving documents, they model the world. They compound context through persistent memory, reason across multimodal data, encode expert judgment, and surface predictive insights before risks or opportunities are obvious. This architecture enables non-local reasoning across hundreds of thousands of entities in milliseconds, not days, while remaining economically viable and secure at the highest government standards
The result is a shift from reactive search to proactive decision intelligence. From government supply chain analysis to enterprise planning, Knowledge Engines enable agents that do not just respond to queries but reason, plan, simulate, decide, and learn.
Learn how Knowledge Engines outperform RAG in real-world scenarios, and why this architecture is the foundation for the autonomous enterprise: https://t.co/kNiPzh1DuT
@PatrickOjo_@AccreteAI does this very successfully - decision automation, their agents have contextual awareness across an org’s entire stack.Can literally reason across complex organizations b/c it’s grounded in self perpetuating knowledge graphs. Winning big in the US Govt soon enterprise