The article also covers models from 2024, such as DeepSeek R1, a Chinese AI model praised for coding and math but criticized for censorship issues, and OpenAI's Sora, a video-generating model with limitations in physics realism. Additionally, it mentions Anthropic's Claude Sonnet 3.5, recognized for its coding capabilities, and Cohere's Command R+, which excels in Retrieval-Augmented Generation applications. The article highlights the experimental nature of some AI models, like OpenAI's Operator, and notes the ongoing issue of AI hallucinations. Overall, the list aims to provide a snapshot of the diverse and rapidly evolving AI landscape.
Key takeaways:
- AI models are being rapidly developed by both large tech companies and startups, making it challenging to keep track of the latest advancements.
- OpenAI and Google have released several new AI models in 2024 and 2025, each with unique features and subscription requirements.
- Many AI models are optimized for specific tasks such as coding, math, and research, but issues like hallucinations and censorship remain concerns.
- Open-source models like Meta's Llama 3.3 7B and DeepSeek R1 offer free alternatives, though they may come with limitations or government censorship.