Technology

Second brains are have moved from personal archives into agent-readable cognitive infrastructure. The central constraint is dual legibility. The system has to make sense to me, in Obsidian, and it has to make sense to Claude in the repo. Throughout history, scholars, scientists, philosophers, and writers have kept some version of an external thinking system. Commonplace books serve as working scrapbooks to store arguments, fragments, and half-formed ideas, to be returned to later. They were not kept as diaries in the introspective sense. John Locke even wrote A New Method of Making Common-Place-Books, offering a system for arranging quotations, ideas, and speeches by subject and category. Cognitive scientist Don Norman, in Things That Make Us Smart, explored how humans become smarter by building external aids that extend memory and reasoning. ...

… when people ask about the meaning of life as if it were the job of our cosmos to give meaning to our existence, they’re getting it backward: It’s not our Universe giving meaning to conscious beings, but conscious beings giving meaning to our Universe. I remember reading Life 3.0 before starting university and feeling like someone had cracked open the edge of reality for the first time. It made intelligence feel like the deepest force in the universe. I didn’t think every prediction would literally happen. Up until then, I still viewed the world in relatively normal categories: careers, countries, companies, technology. Tegmark reframed all of it as information systems recursively optimizing themselves. Humans stopped looking like the endpoint of evolution and started looking like a transitional phase. ...

“ The demonstration that no possible combination of known substances, known forms of machinery and known forms of force, can be united in a practical machine by which man shall fly long distances through the air, seems to the writer as complete as it is possible for the demonstration of any physical fact to be.” - Simon Newcomb (1906) J. Storrs Hall’s book ‘Where Is My Flying Car?’ asks why certain anticipated technologies haven’t become mainstream despite our technological capabilities. Hall uses the flying car as a metaphor to discuss innovation stagnation that has plagued since the 1970s, a period he refers to as the “Great Stagnation.” ...

Attachments Scenario Impact of AI.pdf

Attachments MAGDRIVE Valuation.pdf

LLMs like GPT-o1 are demonstrating remarkable capabilities in knowledge and reasoning. Solving challenging mathematical problems, assisting scientists in writing proofs, retrieving related works, generating code, and discovering patterns. These feats hint at a future where AI doesn’t just follow human instructions but contribute creatively to human endeavours. The Promise and the Question A growing number of researchers propose autonomous agents that can generate and validate new ideas independently. CrewAI is a framework designed to build autonomous multi-agent systems that can generate and validate ideas without human intervention. ...

Cursor tutorials are going viral on Twitter. Applications built with little to no coding experience. Tools like Cursor, Claude, Lovable, Bolt allow you to stay inside your own mental model. You describe the problem in plain language, in terms of what the thing needs to do, and the AI handles the translation. The gap between “I know exactly what this needs to do” and “I know how to make a computer do it” closes in a way it never did with Bubble or Webflow. ...

A recent study involving 759 startups across four randomised control trials found that teaching entrepreneurs to adopt a scientific approach significantly boosts revenue. Founders trained in this way become quicker to abandon bad ideas, make strategic pivots more effectively, and enhance their overall performance. Key Insights: Entrepreneurs who apply scientific thinking are more likely to terminate non-viable projects earlier, conserving resources and time. These entrepreneurs pivot more effectively, making a few well-considered changes rather than none or many unfocused ones. ...

Attachments TALOS pitch deck.pdf

Conversations with engineers and insights from the TypeScript Congress 2023 highlight its growing prominence. JetBrains’ Developer Survey shows TypeScript’s user share has tripled from 12% in 2017 to 34% in 2022 and 2023. TypeScript is no longer just a frontend language. It is becoming the orchestration layer for AI native applications. Java dominated the infrastructure era of the internet. It became a standard that triggered a massive retooling across industries, leading to the rise of Databricks, Confluent, and Atlassian. Java’s influence was particularly profound in data infrastructure, underpinning projects like Spark, Kafka, Hadoop, and Cassandra. ...