PulseAugur / Pulse
LIVE 09:14:24

Pulse

last 48h
[2/2] 89 sources

What AI is actually talking about — clusters surfacing on Bluesky, Reddit, HN, Mastodon and Lobsters, re-ranked to elevate originality and crush noise.

  1. Most video AI pilots die the same death. And after trying Perceptron Mk1, I think I understand why.

    Hasan Toxr, a user of Perceptron Mk1, suggests that many video AI projects fail due to a lack of clear purpose and integration into existing workflows. He observed that the tool, while capable, did not offer a compelling reason for continuous use beyond initial novelty. Toxr implies that without a strong value proposition or seamless integration, such AI tools are likely to be abandoned. AI

    IMPACT Video AI tools may struggle with adoption if they don't offer clear value and integration into existing user workflows.

  2. Artificial intelligence will never gain consciousness. A Google DeepMind researcher exposes the Silicon Valley illusion. Tech giants are racing to...

    A senior researcher at Google DeepMind, Alexander Lerchner, has published a paper arguing that AI, particularly large language models, can simulate but not instantiate consciousness. His work, "The Abstraction Fallacy," posits that AI systems require human input to assign meaning and cannot achieve self-awareness without biological needs and a physical body. This perspective contrasts with the more optimistic AGI timelines often promoted by figures like DeepMind CEO Demis Hassabis. AI

    Artificial intelligence will never gain consciousness. A Google DeepMind researcher exposes the Silicon Valley illusion. Tech giants are racing to...

    IMPACT Challenges the prevailing narrative of imminent AGI, potentially influencing regulatory discussions and public perception of AI capabilities.