Engineer Readings is a technical curation channel targeting senior software engineers, architects, and engineering leaders. It shares research papers, engineering blog posts (primarily from major tech companies like Uber, Netflix, and Cloudflare), video lectures, and educational resources focused on system design, AI/ML infrastructure, distributed systems, and database technologies. The content emphasizes deep technical dives into LLM architectures, scalability challenges, and engineering leadership, with occasional soft skills and career development resources. The channel maintains a high signal-to-noise ratio with carefully selected academic and industry sources.
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[ai][computer integrated to transformer] https://percepta.ai/blog/can-llms-be-computers
[ai][human brain cells] https://x.com/joshkale/status/2030719536991805595?s=46&t=eNN3Y-GKeBSlFyyj1ozvgg
[ai][multi-behavior brain] https://x.com/alexwg/status/2030217301929132323?s=46&t=eNN3Y-GKeBSlFyyj1ozvgg
[llm][research] “We show that large language models can deanonymize users at scale. With internet access, our agent can re-identify pseudonymous Hacker News and Anthropic Interviewer users with high…
[research][google deepmind][llm][agents] “AI agents are able to tackle increasingly complex tasks. To achieve more ambitious goals, AI agents need to be able to meaningfully decompose problems into ma…