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Dec 15, 2023

OpenAI, Snap talk GPT4-V-powered smart glasses, as Google, Apple explore options

Bay Area Times
Bay Area Times

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Top stories today:

  1. OpenAI, Snap talk GPT4-V-powered smart glasses
  2. AI toys voiced by Grimes launched at $99
  3. OpenAI's Superalignment team releases ’weak-to-strong’
  4. Balaji launches VC fund focused on network states
  5. Amazon leads in conversion rate

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0. Data and calendar

All values as of 6 AM ET / 3 AM PT, other than S&P500 close (4 PM ET / 1 PM PT).

All times are ET.

1. OpenAI, Snap talk GPT4-V-powered smart glasses, as Google, Apple explore options

  • OpenAI recently discussed with Snap embedding GPT4-V into its Spectacles smart glasses. OpenAI doesn't have an internal team but is exploring working with partners, such as Jony Ive.

  • Google is also exploring Google Glasses 2.0. It is also planning an AI assistant called Pixie for its Pixel devices.

  • Apple is working on multimodal AI models for the Vision Pro, which launches in early 2024. Apple reportedly paused work on its AR glasses to focus on shipping the Vision Pro, but they could resume AR work at any time.

2. AI toys voiced by Grimes launched at $99

Curio.

  • Plush toy that talks in a kid’s voice.

  • Parental app included.

The company started after an X exchange in April

X: Grimes.

This video shows the toy in action

  • Our view: this is a smart application of screenless conversational AI, more useful than the $699 Humane Ai Pin, for example.

    • Defensibility is not yet clear, but could arise from strong branding and network effects.

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4. OpenAI's Superalignment team releases ’weak-to-strong’ model; segment still headed by Ilya Sutskever

Goal is to have weaker models be able to control stronger models, so that in the future, weaker humans can control stronger AI superintelligence:

OpenAI's analogy: ā€œA simple analogy for superalignment: In traditional machine learning (ML), humans supervise AI systems weaker than themselves (left). To align superintelligence, humans will instead need to supervise AI systems smarter than them (center). We cannot directly study this problem today, but we can study a simple analogy: can small models supervise larger models (right).ā€

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