The hottest AI training Substack posts right now

And their main takeaways
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Import AI 365: WMD benchmark; Amazon sees $1bn training runs; DeepMind gets closer to its game-playing dream

Import AI • 399 implied HN points • 18 Mar 24
🕹 Technology AI Research Robotics AI training
  1. Alliance for the Future (AFTF) was founded in response to concerns about overreach in AI safety regulation, highlighting the importance of well-intentioned policies leading to counter-reactions.
  2. Covariant's RFM-1 shows how generative AI can be applied to industrial robots, allowing easy robot operation through human-like instructions, reflecting a shift towards faster-moving robotics facilitated by AI.
  3. DeepMind's SIMA represents a significant advancement towards a general AI agent by fusing recent AI advancements, showcasing the potential of scaling up diverse AI functions in new environments, opening possibilities for further development and complexity.

Are AI systems conscious? I interviewed Rob Long, a philosopher studying digital minds, to find out

muddyclothes • 176 implied HN points • 27 Apr 23
🕹 Technology AI Ethics Language Models AI training
  1. Rob Long is a philosopher studying digital minds, focusing on consciousness, sentience, and desires in AI systems.
  2. Consciousness and sentience are different; consciousness involves subjective experiences, while sentience often relates to pain and pleasure.
  3. Scientists study consciousness in humans to understand it; empirical testing in animals and AI systems is challenging without direct self-reports.

Import AI 375: GPT-2 five years later; decentralized training; new ways of thinking about consciousness and AI

Import AI • 1 HN point • 03 Jun 24
🕹 Technology AI AI training Ethics Simulation Decentralization
  1. The GPT-2 model release by OpenAI was significant, sparking debate with its unusual publishing strategy and predictions of potential applications and misuses that actually came to pass over time.
  2. In the exploration of AI policy and consciousness, it is challenging to predict the timing and impact of advances accurately, highlighting the importance of evidence-based claims and the potential consequences of regulatory actions.
  3. Decentralized AI training presents compelling incentives like cost-efficiency but faces obstacles due to network and technical challenges, which could disrupt current AI policy assumptions.
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What makes LLMs like GPT good or bad for the world?

PashaNomics • 0 implied HN points • 20 Mar 23
🕹 Technology AI Ethics Language Models Technology impact AI training Ethical AI
  1. When evaluating a language model like GPT-X, consider factors like accuracy and impact.
  2. The impact of the model extends to both individual users and broader society, such as through unintended consequences and negative interactions.
  3. GPT's aimability, or its ability to follow rules effectively, is a complex issue that may not be effectively addressed with current training methods.