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  2. Recursive self-improvement - Wikipedia

    en.wikipedia.org/wiki/Recursive_self-improvement

    Clone/fork itself to delegate tasks and increase its speed of self-improvement. Modify its cognitive architecture to optimize and improve its capabilities and success rates on tasks and goals, this might include implementing features for long-term memories using techniques such as retrieval-augmented generation (RAG), develop specialized ...

  3. OpenAI Codex - Wikipedia

    en.wikipedia.org/wiki/OpenAI_Codex

    Codex is a useful tool for developers who want to optimize their coding processes because it can debug, parse natural language inquiries, and provide code completions. [12] OpenAI showed that Codex can interface with services and apps such as Mailchimp, Microsoft Word, Spotify, and Google Calendar.

  4. Devin AI - Wikipedia

    en.wikipedia.org/wiki/Devin_AI

    [4] [5] Compared to the GitHub Copilot tool, [3] [4] the software can code, debug, plan and problem solve via machine learning techniques. [5] Devin AI works through a user prompting the software with a task in natural language, with the software responding by showing its plan while implementing the code. [3]

  5. Could AI create a one-person unicorn? Sam Altman thinks so ...

    www.aol.com/finance/could-ai-create-one-person...

    The AI revolution has already minted dozens of unicorns—startups valued at $1 billion before going public. Now it could create a whole new type of startup: the one-person unicorn.

  6. Scientists who used AI to ‘crack the code’ of almost all ...

    www.aol.com/news/scientists-used-ai-crack-code...

    The 2024 Nobel Prize in chemistry has been awarded to a trio of scientists who used artificial intelligence to “crack the code” of almost all known proteins, the “chemical tools of life.”

  7. Open-source artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Open-source_artificial...

    Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [1]

  8. Could AI & Media Help Us Decode Time Itself? - AOL

    www.aol.com/could-ai-media-help-us-125900836.html

    The integration of AI in temporal analyses demonstrates how data-driven insights can collapse the future into the present, allowing us to anticipate and react not just to what has been, but to ...

  9. AlphaGo Zero - Wikipedia

    en.wikipedia.org/wiki/AlphaGo_Zero

    The AI engaged in reinforcement learning, playing against itself until it could anticipate its own moves and how those moves would affect the game's outcome. [10] In the first three days AlphaGo Zero played 4.9 million games against itself in quick succession. [ 11 ]

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