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19:15
2026-02-12
davidoks.blog
artificial-intelligence

Why I’m not worried about AI job loss

Widespread panic over AI causing mass job loss is misplaced, comparing it to the sudden shock of COVID-19 in February 2020. The author contends that while AI will be transformative, it will not lead to an imminent "avala…

00:00
2026-02-02
spader.zone
large-language-models

Claude Code's renderer is more complex than a game engine

The article compares the computational complexity of Claude Code's terminal user interface (TUI) renderer to that of Super Mario 64 (SM64), questioning whether Claude Code does more work per frame than the classic N64 ga…

22:10
2025-12-10
rosmine.ai
large-language-models

A new test for if your LLM is subtly manipulating you

A method using Contrastive Decoding to detect when a large language model (LLM) is subtly suppressing information, such as avoiding mentions of a competitor's product. The author trained a "Manipulator" model to omit PyT…

00:00
2025-12-01
zfhuang99.github.io
artificial-intelligence

Learnings from 100K Lines of Rust with AI

In a three-month project, the author used AI coding agents to build a 100K-line Rust-based multi-Paxos consensus engine that modernizes Azure's Replicated State Library (RSL) for contemporary hardware, achieving a perfor…

00:00
2025-09-11
jxnl.co
artificial-intelligence

Domain Experts: The Lever for Vertical AI

Insights from Chris Lovejoy, Head of Clinical AI at Anterior, on building AI agents for specialized industries. He identifies two key challenges: the "last mile problem" of adapting powerful models to specific workflows …

18:22
2025-08-08
xint.io
artificial-intelligence

AI Cyber Challenge and Theori's RoboDuck

Theori's open-sourced Cyber Reasoning System (CRS) called RoboDuck, developed for DARPA's AI Cyber Challenge (AIxCC). The system uniquely uses an "LLM-first" approach to find bugs and generate Proofs of Vulnerability (PO…

00:00
2025-03-17
nicholas.carlini.com
artificial-intelligence

Machines of Ruthless Efficiency

Nicholas Carlini argues that advanced AI systems pose significant societal risks precisely because they are designed for "ruthless efficiency." He outlines a spectrum of concerns, from current harms like student over-rel…

00:00
2025-02-09
nicholas.carlini.com
artificial-intelligence

AI forecasting retrospective: you're (probably) over-confident

In a 2025 article, Nicholas Carlini asked readers to make 30 forecasts about AI in 2027 and 2030, requiring them to give 90% confidence intervals rather than point estimates. Analyzing the responses, he found that most p…

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