advice

Maxime Rivest回复网友关于如何入门模型微调的提问，给出了从简单分类任务起步、逐步构建自定义任务、利用coding agent辅助实验的五步学习路径建议。

Nader Dabit shares career advice on thriving in the AI era: specializations are collapsing, token costs make experimentation nearly free, and cloud agents will scale massively, urging builders to embrace 10x workflows and avoid producing 'slop'.

The author emphasizes that university undergraduates should buy coding plans for tools like Claude Code or Codex, build minimal coding agents, and explore advanced features to excel in computer science.

The blog post reflects on attending Zigtoberfest and provides tiered advice for using the Zig programming language, focusing on systems thinking, design depth, and software perfection.

The user announces receiving a payout from the X Creator Program and shares advice on creating engaging content to inspire others.

A personal reflection on learning to write Rust code, emphasizing the need to overcome perfectionism and embrace the iterative process of creation in programming and writing.

Paul Graham shared advice from office hours with a startup, suggesting they focus on growth rate to determine the best path, with potential for unexpected outcomes.

Sam Altman and John Collison share candid advice about the 'dark times' every startup goes through, drawing on early struggles at OpenAI and Stripe, and emphasize the importance of customers and persistence.

Box CEO Aaron Levie shares 5 lessons for startup founders, including leveraging new technologies, passion, not compromising, embracing discomfort, and staying resilient against competitors.

Ben Horowitz discusses the ideal founding team for a startup, emphasizing the roles of the inventor and the entrepreneur, and the importance of having at least one world-class person in each role.

Elon Musk advises focusing on being useful, evaluating the utility delta of projects, and notes that changing the world isn't necessary to do good.

An article arguing that multi-agent setups are often overused, providing guidelines on when to use single vs multi-agent architectures based on task parallelism and coordination needs.

Matt Pocock argues that 1 million token context windows are a gimmick and suggests sticking to the first 150K tokens for better results.

Marc Andreessen and Ben Horowitz share advice on handling business crises: there are no silver bullets, only lead bullets—hard work and execution are key.

A tweet listing essential skills and technologies for Forward Deployed Engineers, covering programming languages, system design, DevOps, AI/ML frameworks, and more.

Ben Horowitz shares four principles for choosing a cofounder, emphasizing not letting anxiety drive the decision, avoiding friendships, working with respected long-time acquaintances, and equal equity splits.

The author advises workers worried about AI job displacement to consider unions as a backup, citing Hollywood writers and actors who negotiated AI protections.

Addresses the common advice against building ML models early in a startup and offers guidance on where to start when it's actually necessary.

A personal account of earning over $100k through AI automation projects, sharing which automations are worth building and which are a waste of money.

Y Combinator shares advice on choosing startup ideas in the AI era.