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Possible consequences of current developments

  1. Whisper Large v3 Benchmark: 1 Million hours transcribed for $5110 (11,736 mins per dollar) on consumer GPUs - A follow-up

    • Benefits: This topic brings attention to the potential benefits of utilizing consumer GPUs for large-scale transcription tasks. By transcribing 1 million hours of audio for just $5110, an impressive efficiency rate of 11,736 minutes per dollar was achieved. This highlights the cost-effectiveness and scalability of using consumer GPUs for transcription tasks, making it more accessible and affordable for individuals or organizations who require such services.

    • Ramifications: The ramifications of this benchmark could lead to significant advancements and improvements in the field of transcription. It showcases the potential of consumer GPUs to revolutionize the industry by making large-scale transcription more efficient and cost-effective. However, there may be concerns about the quality and accuracy of the transcriptions produced by consumer GPUs compared to more specialized transcription services. Additionally, the increased demand for transcription services could potentially lead to job displacement or changes in the job market for professional transcribers.

  2. Making my bookshelves clickable with computer vision

    • Benefits: This topic explores the use of computer vision to make bookshelves clickable, implying the potential benefits of enhanced accessibility and convenience. By utilizing computer vision technology, users could easily digitize their book collections and access them digitally. This would enable them to navigate through their books, search for specific titles or topics, and directly access relevant information. It could also allow for seamless integration with other digital platforms, such as e-readers or online libraries.

    • Ramifications: The ramifications of making bookshelves clickable with computer vision could have both positive and negative consequences. On one hand, it could enhance accessibility to knowledge and literature for individuals who may have physical limitations or difficulties accessing physical books. It could also facilitate the sharing and dissemination of information by enabling easy access to book contents. However, there may be concerns regarding privacy and security when digitizing personal book collections, as well as the potential impact on traditional bookstores or libraries if digital versions become more widespread and preferred.

  • Medium
  • [Self Promotional] Savant 0.2.7 is out: computer vision framework optimized for Nvidia
  • Information retrieval/search

GPT predicts future events

  • Artificial General Intelligence (2045): I predict that Artificial General Intelligence (AGI) will be achieved in 2045. This estimation is based on the observation of the current exponential growth rate of technology, as described by Moore’s Law. It is presumed that by this time, the computational power and complexity required to achieve AGI will be within reach given the rate at which advancements in computing and AI research are progressing. Additionally, there is a significant amount of interest and investment in AGI research from both industry and academia, which is likely to accelerate progress in this area.
  • Technological Singularity (2060): The Technological Singularity, which represents a hypothetical point in the future where technological growth becomes uncontrollable and irreversible, is predicted to occur around 2060. This timeline is based on projections of accelerating technological advancements observed in recent years, the potential convergence of various exponential technologies (such as AI, nanotechnology, and biotechnology), and the implications of Moore’s Law continuing to hold true. However, it is important to note that the exact occurrence of the Technological Singularity is highly uncertain and speculative, and could happen earlier or later depending on various factors and breakthroughs in the field of technology.