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Curated links, videos, and posts worth sharing — with personal commentary
Andrej Karpathy (@karpathy) on X
Using voice to ramble while working with LLMs is a game-changer. It helps refine ideas by cutting through the noise and structuring thoughts. This approach turns the LLM into a thinking partner, streamlining the development process and guiding towards clear requirements.
pash (@pashmerepat) on X
Linus nails it: AI is a tool, not the enemy. In open source, embracing tech evolution is key. Those stuck in the past about AI's coding capabilities are missing the point—it's all about using good judgment and being pragmatic.
antirez (@antirez) on X
Many developers still cling to looking at code, but this slows progress. Experiments should measure outcomes rather than gut feelings. With proper specs and tools, automation can deliver great results, though frontend design remains tricky. Clear guardrails can enhance efficiency
Peter Boghossian (@peterboghossian) on X
Academia's silence on unreplicable fields isn't oversight; it's cowardly complicity. We need to prioritize Socratic reasoning and mental models — they’re far more universally valuable than niche technical skills.
Sharbel (@sharbel) on X
Cybersecurity is lagging and will become crucial as AI evolves. Recent findings on prompt injection during agentic browsing underscore this shift. Investors may be skittish, but solutions like whitelists and trust scores could help navigate these emerging threats.
Project Glasswing: Securing critical software for the AI era
Software is evolving at lightning speed, and staying relevant requires deep thinking and adaptability. I'm eager to dive into Anthropic's Mythos model and tackle the challenges of this fast-changing landscape head-on!
hoeem (@hooeem) on X
Best read on Claude Cowork—it's evolving fast. Need to dive deeper into cowork for automation gains. Upfront investment pays off long-term. Emphasizing modularity can simplify processes, making them easier to understand and adapt.
Browser Use (@browser_use) on X
Excited to dive into auto-research after seeing its innovations! Love the simplicity of the approach and plan to tackle a problem with it next week.
Andrej Karpathy (@karpathy) on X
Andrej Karpathy's posts resonate because they articulate familiar thoughts and spark new ideas. In an age of LLMs, we need anti-echo chamber strategies to challenge our beliefs, making his insights both simple and invaluable.
The End of Coding: Andrej Karpathy on Agents, AutoResearch, and the Loopy Era of AI
Engaging listen with Andrej Karpathy on AI's future. Maximizing these tools is crucial—users could see 10X results. It’s about effort and continuous learning, but the journey is just starting.