Gemini Arrives + AlphaCode 2 Bombshell
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Key Takeaways at a Glance
00:22
Gemini is a family of highly capable multimodal models.00:54
Gemini Ultra beats GPT-4 in some modalities.11:06
AlphaCode 2 is an impressive system for coding.15:35
Gemini models have limitations and challenges.18:09
Gemini is working on interesting innovations for future versions.18:53
Rolling launch of AI insiders and reassurance for long-standing audience.
1. Gemini is a family of highly capable multimodal models.
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00:22
Gemini is a new model from Google that consists of three models: Ultra, Pro, and Nano. Ultra is the biggest model and will be released early next year as the competitor to GPT-4. Pro is the rough equivalent of GPT-3.5, and Nano is designed for phones.
- Gemini is trained to be multimodal, meaning it can understand and generate text, images, audio, and video.
- Gemini outperforms GPT-4 in many modalities, including natural image understanding, document understanding, infographic understanding, video captioning, video question answering, and speech translation.
- Gemini models have a large context window of 32,000 tokens, compared to 128,000 tokens for GPT-4 Turbo with anthropic.
2. Gemini Ultra beats GPT-4 in some modalities.
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00:54
Gemini Ultra, the biggest model in the Gemini family, outperforms GPT-4 in natural image understanding, document understanding, infographic understanding, video captioning, video question answering, and speech translation.
- Gemini Ultra is trained to be multimodal and can generate text, images, audio, and video.
- Gemini Ultra has a context window of 32,000 tokens.
- Gemini Ultra is expected to be released early next year as the competitor to GPT-4.
3. AlphaCode 2 is an impressive system for coding.
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11:06
AlphaCode 2 is an advanced system for coding that uses the Gemini Pro model. It achieved outstanding results in a competitive programming contest, outperforming 99.5% of participants.
- AlphaCode 2 generates code samples for programming problems and uses Gemini Pro as a scoring model to surface the best candidates.
- AlphaCode 2 shows promise for the future of programming, where AI models can be used as collaborative tools by human coders.
4. Gemini models have limitations and challenges.
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15:35
Gemini models have limitations in terms of compute requirements and availability. Gemini Ultra, the most powerful model, is not yet available for consumer release. Gemini Pro and Nano can only respond with text and code.
- Gemini models require a lot of trial and error and are computationally intensive, making them costly to operate at scale.
- Gemini Ultra is expected to be released early next year, and Gemini Pro is available via the Gemini API for developers and enterprise customers.
- Gemini models are not yet available in the UK and EU due to regulations.
5. Gemini is working on interesting innovations for future versions.
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18:09
Gemini is developing new features and capabilities for future versions, including Gemini Ultra, which will offer more senses and become more aware.
- Gemini aims to expand beyond images, video, and audio to include actions and touch, similar to robotics.
- Gemini's goal is to approach AGI (Artificial General Intelligence) and gain more insights and capabilities.
- Gemini is cautious but optimistic about the future of AI.
6. Rolling launch of AI insiders and reassurance for long-standing audience.
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18:53
The speaker is excited about the rolling launch of AI insiders and reassures his long-standing audience that he will continue posting frequently on the main AI explain channel.
- AI insiders is a subscription-based program that viewers can sign up for.
- The speaker acknowledges that the subscription fee may be expensive for some viewers and respects their decision.
- The speaker expresses gratitude to those who support him at the legendary level and assures them that they will receive personal updates and blog-style posts.