Prompt injection is entertaining, but harmless! https://
lspace.swyx.io/p/reverse-prom
pt-eng
… Presenting the 7 techniques I used to "reverse prompt engineer" the public alpha of Notion AI in 2 hours… and why everyone is **wrong** about the dangers of prompt injection
@swyx
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Reverse Prompt Engineering: Notion AI Security Analysis Techniques
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Upcoming Major AI Post Announcement and Newsletter Subscription
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writing what will probably my biggest AI post yet. little tease here! if you haven't subscribed, join the fun: https://
lspace.swyx.io if you have, i'd appreciate a signal boost for my next post! -
OT Too Low Level: Codex Better for Code Refactoring
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OT is way too low level man. too much structure to have to rebuild when codex can already do entire coherent code blocks of refactoring
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Small Teams Disrupting Industries: The Power Leverage Question
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confirmation that Copilot team size was ~equal to @codeiumdev team size (though I heard Copilot took 6months? for UX R&D) When 2 pizza teams start leveling entire industries instead of companies, how will we wield the leverage we have been granted?
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Post-Copilot Directions from Anshul and Codeium Team
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see also the proposed post-Copilot directions from @_anshulr and the @codeiumdev team on last week's post
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Embeddings as Versioned Documentation for Machine-Readable Code
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my take: Docs for humans, Embeddings for machines Write samples -> get embeddings -> ship with each API/SDK version composable give users 99% accurate codegen can't version foundation models, but can version embeddings If you liked @types
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Beyond Copilot: The Next Evolution in AI Developer Experience
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The Big Question in AI-driven developer experience: What's after Copilot? Everyone is convinced this is "just" the beginning but can't articulate what the next killer form factor will be. Increasingly convinced next step change won't be from optimal stuffing context windows
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Searching for canonical references to the bitter lesson
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was looking for more references to the "bitter lesson" – is this the canonical source? http://
incompleteideas.net/IncIdeas/Bitte
rLesson.html
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Dealing with GPT-3 Limited Context Window Constraints
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how do you deal with the limited context window of GPT3? afaik, ChatGPT a limit of 8092 tokens, whereas GPT3 is lower (3-4k?) any langchain solution to that sort of thing?
