Phi-2, Imagen-2, Optimus-Gen-2: Small New Models to Change the World?

1. Phi-2 and Imagen-2 are small models that could change the AI landscape.

🥈85 00:00

Phi-2 and Imagen-2 are small models with 2.7 billion parameters that outperform models of comparable size and even models 25 times their size.

• Phi-2 can fit locally on a smartphone.
• These models were trained using synthetic data, resulting in less toxic data and improved performance.

2. Optimus Gen-2 is a new humanoid robot from Tesla.

🥉78 08:09

Optimus Gen-2 is a 10 kg lighter humanoid robot that shows potential for touch, temperature, and pressure sensitivity.

• This robot represents a new exploration of modalities in robotics.
• It could have various applications in the future.

3. The MML U benchmark has significant flaws.

🥇92 11:01

The MML U benchmark is flawed and has numerous factual errors and missing context.

• The benchmark includes incorrect answers and wrong answer options.
• It lacks accuracy and reliability in assessing AI models.

4. Models are sensitive to inputs and can be easily confused by errors or ambiguities in the source.

🥈85 14:31

Errors, misspellings, grammatical ambiguity, and formatting ambiguity in the source can potentially confuse a model.

• Models are particularly sensitive to the inputs they receive.
• Ambiguities in the source can lead to incorrect answers.

5. Multiple question dependence and lack of clear answers are common challenges for models.

🥈88 15:32

Models struggle with questions that depend on multiple factors or have no clear answer.

• Questions that require context or depend on multiple principles can be challenging for models.
• Questions with conflicting answers or ambiguous options can also confuse models.

6. Models struggle with complex and controversial topics that require nuanced understanding.

🥇91 16:47

Models find it difficult to capture the nuance and complexity of topics like biology, gender roles, society, and state responsibilities.

• Complex and controversial topics require a deep understanding of various factors.
• Models may provide answers that lack the nuanced relationship between different elements.