The service has a new responsible AI system that filters out harmful content and helps detect abuse. Additionally, Azure OpenAI Service now offers access to more models, including GPT-3, Codex and embeddings models. Codex can generate code and translate plain language to code, while embeddings make semantic search and other tasks easier. The service also offers new capabilities for customers to fine tune models for more tailored results. Azure OpenAI Service is enabling customers across industries from health care to financial services to manufacturing to quickly perform an array of tasks.

You may be wondering if such a bold headline is true. GPT-3 came out in 2020 and established a new road the whole AI industry has been following in intention and attention since. Tech companies have repeatedly built better, larger models, one after another. But although they've put millions into the task, none of them has fundamentally changed the leading paradigm or the game's rules GPT-3 laid out two years ago. Gopher, Chinchilla, and PaLM (arguably the current podium of large language models) are significantly better than GPT-3 but they are, in essence, more of the same thing.

One of the longstanding worries about the technologies of artificial intelligence is that they will enable surveillance, autocracy and maybe even totalitarianism. These views no longer seem so convincing. The world's autocratic states are not exactly turning these technologies to their advantage, and meanwhile artificial intelligence is taking some individualistic turns. Consider the program called DALL-E, which allows the user to generate digital sketches and images, derived from natural language instructions, using the power of artificial intelligence. The quality and diversity of the images is truly impressive.

The models I use as a replacement are unrestrained. We are at a turning point in the history of art. AI-generated art gives artists a new form of expression, allowing them to explore and create new ideas. Machine Learning Art introduces them in a few articles.

We've written a policy research paper identifying four strategies that can be used today to improve the likelihood of long-term industry cooperation on safety norms in AI: communicating risks and benefits, technical collaboration, increased transparency, and incentivizing standards. Our analysis shows that industry cooperation on safety will be instrumental in ensuring that AI systems are safe and beneficial, but competitive pressures could lead to a collective action problem, potentially causing AI companies to under-invest in safety. We hope these strategies will encourage greater cooperation on the safe development of AI and lead to better global outcomes of AI. It's important to ensure that it's in the economic interest of companies to build and release AI systems that are safe, secure, and socially beneficial. This is true even if we think AI companies and their employees have an independent desire to do this, since AI systems are more likely to be safe and beneficial if the economic interests of AI companies are not in tension with their desire to build their systems responsibly.

Is Machine Learning going to replace artists? Every tool has its limits, and the ability to utilize it creatively is entirely up to the individual who creates it. DALL-E 2 is a terrific approach to get forward in the field of artificial intelligence. I'm looking forward to seeing what the future holds. We are just at the beginning of our AI art adventure, as the most recent articles on MLearning.ai

Another prominent option is DALL-E 2, also created by OpenAI and currently in a very limited beta, which does the same thing with images. Type "a velociraptor in Speedos sun-baking on the sands of Majorca" into DALL-E 2 and it'll do its best to draw on its pattern recognition ability and enormous corpus of data to make that for you. It doesn't know what a velociraptor looks like, or where Majorca is. But, by tapping into the internet's deep subconscious through billions and billions of parameters, it has a vast library of the visual and language patterns usually associated with those words.

The feature image for this post is a piece of art I dreamed up, but I didn't create it. I suppose you could say I commissioned it, in a matter of speaking, but the artist is an AI, and the only instructions I gave it were, "An octopus wearing a Captain America costume." You might notice right away that it's not exactly the costume of the first Avenger but rather an octopus who appears to be the captain of a ship and also has red, white and blue body paint. This was one of six paintings the AI called DALL-E 2 created for me. DALL-E 2 is the brainchild (or perhaps BRAINIAC?) of OpenAI, which describes it as such: DALL-E 2 currently has some limitations.

One of the longstanding worries about the technologies of artificial intelligence is that they will enable surveillance, autocracy and maybe even totalitarianism. These views no longer seem so convincing. The world's autocratic states are not exactly turning these technologies to their advantage, and meanwhile artificial intelligence is taking some individualistic turns. Consider the program called DALL-E, which allows the user to generate digital sketches and images, derived from natural language instructions, using the power of artificial intelligence. The quality and diversity of the images is truly impressive.

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