karpathy
@karpathy
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Post highlights a workflow pattern for LLMs: using voice mode to “ramble” and provide more context, implying rising utility and adoption of voice-first AI interfaces and longer conversational sessions.
Post highlights a workflow pattern for LLMs: using voice mode to “ramble” and provide more context, implying rising utility and adoption of voice-first AI interfaces and longer conversational sessions.
Post highlights a workflow pattern for LLMs: using voice mode to “ramble” and provide more context, implying rising utility and adoption of voice-first AI interfaces and longer conversational sessions.
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Andrej Karpathy @karpathy Jul 21 One pattern I find useful for working with LLMs is a nice long ramble session. Somet...
Post highlights a workflow pattern for LLMs: using voice mode to “ramble” and provide more context, implying rising utility and adoption of voice-first AI interfaces and longer conversational sessions.
@yash1_ @shreyansj iirc Geoff Hinton’s official title at Google at one point was “intern” :D
A humorous anecdote noting that Geoff Hinton’s official title at Google was once reportedly “intern.” No market-relevant information, catalyst, or tradeable detail is provided.
@shreyansj It’s refreshing to see a company of this size successfully call bs on the whole thing to this extent. One ...
Very short social post praising an unnamed large company for “calling bs” and referencing “One group of MTS on a mission, clean.” No explicit company, catalyst, product, sector, or timeframe is provided, so it is not directly tradable as-is.
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formati...
A personal career update: author joined Anthropic to work on frontier LLM R&D; mentions long-term interest in education. No product, financial, partnership, or commercialization details.
Proof-backed call history
These are recent thesis calls tied to original source content where available.
Post highlights a workflow pattern for LLMs: using voice mode to “ramble” and provide more context, implying rising utility and adoption of voice-first AI interfaces and longer conversational sessions.
Post highlights a workflow pattern for LLMs: using voice mode to “ramble” and provide more context, implying rising utility and adoption of voice-first AI interfaces and longer conversational sessions.
Post highlights a workflow pattern for LLMs: using voice mode to “ramble” and provide more context, implying rising utility and adoption of voice-first AI interfaces and longer conversational sessions.
Post highlights a workflow pattern for LLMs: using voice mode to “ramble” and provide more context, implying rising utility and adoption of voice-first AI interfaces and longer conversational sessions.
Post highlights a workflow pattern for LLMs: using voice mode to “ramble” and provide more context, implying rising utility and adoption of voice-first AI interfaces and longer conversational sessions.
The post argues that “agency” (ability to execute, iterate, drive outcomes) is more scarce and valuable than “intelligence,” especially now that intelligence is becoming commoditized/accessible via AI. As an investable signal, this is mainly a narrative tailwind for enterprise automation/productivity software and AI tooling that amplifies execution, but it is not a concrete catalyst with near-term price impact by itself.
The post argues that “agency” (ability to execute, iterate, drive outcomes) is more scarce and valuable than “intelligence,” especially now that intelligence is becoming commoditized/accessible via AI. As an investable signal, this is mainly a narrative tailwind for enterprise automation/productivity software and AI tooling that amplifies execution, but it is not a concrete catalyst with near-term price impact by itself.
The post argues that “agency” (ability to execute, iterate, drive outcomes) is more scarce and valuable than “intelligence,” especially now that intelligence is becoming commoditized/accessible via AI. As an investable signal, this is mainly a narrative tailwind for enterprise automation/productivity software and AI tooling that amplifies execution, but it is not a concrete catalyst with near-term price impact by itself.
The post argues that “agency” (ability to execute, iterate, drive outcomes) is more scarce and valuable than “intelligence,” especially now that intelligence is becoming commoditized/accessible via AI. As an investable signal, this is mainly a narrative tailwind for enterprise automation/productivity software and AI tooling that amplifies execution, but it is not a concrete catalyst with near-term price impact by itself.
A short, high-level statement implying that natural language (English) is becoming a primary interface for programming via large language models (LLMs). Actionable mainly as a long-term AI/software productivity theme rather than a near-term catalyst.
A short, high-level statement implying that natural language (English) is becoming a primary interface for programming via large language models (LLMs). Actionable mainly as a long-term AI/software productivity theme rather than a near-term catalyst.
A short, high-level statement implying that natural language (English) is becoming a primary interface for programming via large language models (LLMs). Actionable mainly as a long-term AI/software productivity theme rather than a near-term catalyst.
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@karpathy
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