💬 A Month of Chat-Oriented Programming
An insightful, experience-driven account that captures the growing reality of AI-assisted coding. It thoughtfully examines both the potential and the friction of a world where programmers collaborate through dialogue with machines.
Nick Radcliffe shares his six-week journey of coding side-by-side with Anthropic’s Claude Code, exploring how structured dialogue with an LLM reshaped his workflow. Initially doubtful about the reliability of large models, he finds that—despite the mental load and inefficiencies—Claude meaningfully improved both productivity and code quality. The essay highlights key process adjustments and psychological shifts needed for effective human–AI programming.
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📡 Digital Signals Theory
A well-structured and beginner-friendly resource that bridges theory and implementation. Its combination of clarity, coding integration, and Python tooling makes it a standout modern DSP primer.
Brian McFee’s ‘Digital Signals Theory’ is an approachable online textbook introducing discrete-time signal processing for learners without deep math or engineering experience. It focuses on conceptual understanding, using intuitive explanations and Python-based examples to make core DSP ideas practical and accessible.
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🧠 When It Comes to Writing, LLMs Have Won
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⚡ Google CEO Warns of ‘Irrational’ AI Investment Boom
A revealing statement from one of AI’s top leaders—Pichai’s comments acknowledge both the hype cycle and the environmental realities driving unease within Big Tech.
Alphabet CEO Sundar Pichai cautions that today’s AI investment frenzy bears similarities to previous tech bubbles. While praising AI’s transformative power, he warns that overheated spending could trigger a market correction. He also highlights Google’s UK expansion, AI’s heavy energy footprint, and the challenge of maintaining sustainability amid rapid growth.
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