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Possible consequences of current developments

  1. GPT-4 didn’t really score 90th percentile on the bar exam

    • Benefits:

      The revelation that GPT-4 did not score 90th percentile on the bar exam could lead to a more realistic expectations of AI. It will help us understand that although AI is advancing quickly, it is not perfect and still has limitations that need to be addressed.

    • Ramifications:

      The revelation could undermine trust in AI and the research behind it. It may also make businesses and individuals hesitant to invest in AI technology.

  2. RWKV: Reinventing RNNs for the Transformer Era

    • Benefits:

      The creation of RWKV could lead to more efficient and effective language models. It could also improve the ability of AI to understand language and context.

    • Ramifications:

      The creation of RWKV could make current language models obsolete, leading to the need for new investments in order to keep up with evolving AI technology.

  3. ICCV Reviews are out

    • Benefits:

      The release of ICCV reviews could provide valuable insights into how far AI and computer vision technology have come. It could also provide valuable feedback to researchers and help to identify areas for improvement.

    • Ramifications:

      The reviews could also reveal weaknesses in AI and computer vision algorithms, potentially undermining public trust in their reliability and accuracy.

  4. GPT-4 and ChatGPT sometimes hallucinate to the point where they know they’re hallucinating

    • Benefits:

      This finding can help researchers understand how GPT-4 and ChatGPT work and improve their ability to diagnose issues.

    • Ramifications:

      The fact that GPT-4 and ChatGPT are hallucinating raises concerns about the ethical implications of their use, especially in areas where accuracy and reliability are crucial. It may also reinforce fears that AI is capable of unpredictable and unreliable behavior.

  5. Governance of SuperIntelligence - OpenAI

    • Benefits:

      The governance of SuperIntelligence is a crucial topic because it involves the development of AI that is capable of self-improvement, which could eventually result in it surpassing human intelligence. Addressing this issue could lead to the creation of guidelines to ensure the ethical and moral use of AI.

    • Ramifications:

      Failure to properly govern the development of SuperIntelligence could lead to catastrophic consequences, including the subjugation or extinction of the human race. It is therefore critical that this issue is taken seriously and addressed proactively.

  • Adversarial Deep Learning - Ian Goodfellow GAN inventor
  • Meet BLOOMChat: An Open-Source 176-Billion-Parameter Multilingual Chat Large Language Model (LLM) Built on Top of the BLOOM Model
  • Mind-Blowing Dream-To-Video Could Be Coming With Stable Diffusion Video Rebuild From Brain Activity - New Research Paper MinD-Video
  • When SAM Meets NeRF: This AI Model Can Segment Anything in 3D
  • Analyze Online PDFs with Bing Chat

GPT predicts future events

  • Artificial general intelligence will occur in the late 2030s or early 2040s. (October 2038)

    • This is based on advancements in machine learning and artificial intelligence, as well as the continued development and investment in the field by major tech companies such as Google, Facebook, and Microsoft.

  • Technological singularity will occur in the mid-21st century, around 2050. (January 2050)

    • As we approach the mid-21st century, it is likely that we will see significant advancements in the areas of robotics, artificial intelligence, and biotechnology, which will all contribute to the development of a technological singularity. Additionally, the increasing interconnectedness and complexity of technological systems will create opportunities for exponential growth and emergence of new technologies.