Singapore Escalates Crackdown on AI Chip Smuggling Networks - Startup Fortune
Singapore Escalates Crackdown on AI Chip Smuggling Networks Startup Fortune
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The slow death of the accelerationist.
The year is 2024. Summer has just begun. National discourse, for now, is solely focused on the upcoming presidential election, with many a journalist or political commentator critiquing the current, rather fiery state of political affairs. Tech and its associated public commentary has centered upon artificial intelligence as its new darling, hailing OpenAI as a savior for what was once deemed an idea stuck in science fiction, and looking to burgeoning startups such as Cursor and Windsurf as early examples of how agents could automate software engineering tasks. Logging onto Twitter, one would catch glimpses of Beff Jezos, an aptly named satirical account, relentlessly posting optimistic odes about how our own silicon creations will soon enable us to solve all of our problems, enabling us t
Outcome Routing in Autonomous Vehicles: Fleet Intelligence Without Location Data
The Data Paradox at the Heart of AV Fleet Intelligence Every autonomous vehicle on the road is a data generation machine. A single vehicle running for eight hours produces somewhere between 4 and 20 terabytes of raw sensor data — LiDAR point clouds, camera frames, radar returns, inertial measurements, and the continuous stream of routing decisions that glue it all together. Now multiply that across a fleet of a thousand vehicles and you have a compelling picture of collective intelligence: a swarm of machines that, in theory, could share everything they know about road conditions, near-miss events, edge cases, and environmental hazards. In practice, almost none of that sharing happens — at least not in real time, and not in any form that preserves privacy. The reason is straightforward. Th
Letting AI Control RAG Search Improved Accuracy by 79%
Letting AI Control RAG Search Improved Accuracy by 79% Most RAG (Retrieval-Augmented Generation) search pipelines are built like this: Query → vector search → Top-K retrieval → dump everything into LLM This fixed pipeline is the root cause limiting RAG accuracy. A February 2026 ArXiv paper (arXiv:2602.03442) proposed A-RAG (Agentic RAG), replacing the fixed search pipeline with an AI agent. Result: multi-hop QA accuracy improved by 79% (50.2% → 89.7%). And retrieved tokens dropped by half. Higher accuracy with less retrieval. Here's how this counter-intuitive result works. Three Limits of Fixed-Pipeline RAG Limit 1: Weak on Multi-Hop Questions Question: "Where did the person who invented X attend university?" Required searches: Round 1: "Who invented X" → identify the person Round 2: "That
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The slow death of the accelerationist.
The year is 2024. Summer has just begun. National discourse, for now, is solely focused on the upcoming presidential election, with many a journalist or political commentator critiquing the current, rather fiery state of political affairs. Tech and its associated public commentary has centered upon artificial intelligence as its new darling, hailing OpenAI as a savior for what was once deemed an idea stuck in science fiction, and looking to burgeoning startups such as Cursor and Windsurf as early examples of how agents could automate software engineering tasks. Logging onto Twitter, one would catch glimpses of Beff Jezos, an aptly named satirical account, relentlessly posting optimistic odes about how our own silicon creations will soon enable us to solve all of our problems, enabling us t
Defending Habit Streaks
I have a lot of habit streaks. Some of the streaks I have going at the moment: Studied Anki cards for Chinese every day for 8 months* Meditated every day for the past 1.5 years* Flossed every day for 6+ months* In fact I think quite a lot of my identity is connected to these streaks at this point, and that’s part of what sustains them [1] . But there are a lot of other things you can do to make habits and their associated streaks more sustainable. It’s helpful if they are small enough and flexible enough to be done even on days where you are extra busy, or forgot about them until the evening. It’s good to schedule time for them in advance, both so you have a designated time to start, and so you know you’ll have enough time to finish. It can help to do the habit literally every day so you d
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