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2. Apple joins the race to find an AI icon that makes sense

   techcrunch.com/2024/06/15/apple-joins-the-race...

   This week was an exciting one for the AI community, as Apple joined Google, OpenAI, Anthropic, Meta and others in the long-running competition to find an icon that even remotely suggests AI to ...

3. Google debuts Imagen 2 with text and logo generation

   techcrunch.com/2023/12/13/google-debuts-imagen-2...

   Text and logo generation brings Imagen in line with other leading image-generating models, like OpenAI’s DALL-E 3 and Amazon’s recently launched Titan Image Generator.In two possible points of ...

4. DALL-E's AI art generation is now available for apps - Engadget

   www.engadget.com/dall-e-api-apps-151625771.html

   You won't have to visit a specific website to use DALL-E 2 for much longer. OpenAI has publicly released a beta framework that lets apps and other products use the AI art generator. This includes ...

5. Meta AI tested: Doesn't quite justify its own existence, but ...

   techcrunch.com/2024/04/26/meta-ai-tested-doesnt...

   Meta’s new large language model, Llama 3, powers the imaginatively named “Meta AI,” a newish chatbot that the social media and advertising company has installed in as many of its apps and ...

6. Character.ai - Wikipedia

   en.wikipedia.org/wiki/Character.ai

   Character.ai (also known as c.ai or Character AI) is a neural language model chatbot service that can generate human-like text responses and participate in contextual conversation. Constructed by previous developers of Google's LaMDA , Noam Shazeer and Daniel De Freitas, the beta model was made available to use by the public in September 2022.

7. Meta AI - Wikipedia

   en.wikipedia.org/wiki/Meta_AI

   Meta AI is an American company owned by Meta (formerly Facebook) that develops artificial intelligence and augmented and artificial reality technologies. Meta AI deems itself an academic research laboratory, focused on generating knowledge for the AI community, and should not be confused with Meta's Applied Machine Learning (AML) team, which focuses on the practical applications of its products.