2023’s Game-Changing AI Innovations: Four Key Trends Reshaping the Future
25 Jan 2024
Like the dynamic and ever-evolving world of online casinos, such as those detailed in Betchan Casino Review Canada, 2023 has been a landmark year in AI. It’s been filled with relentless product launches, significant corporate changes, and intense debates about the potential risks of AI. This year, we’ve seen strong efforts to create tools and rules. They make AI more responsible and accountable. This is a positive indication for the future of AI technology.
Generative AI’s Uncertain Next Steps
2023 marked a pivotal year in AI. Major tech giants invested in generative AI following the success of OpenAI’s ChatGPT. This led to a surge in new AI models like Meta’s LLaMA 2 and Google’s Bard. Yet, none became an instant hit due to flaws in language models. Even with some problems, there’s a big push to make AI products people like. These include AI tools and helpers that can make work easier and help with coding. This means that it will be necessary to see how well these new AI ideas work next year. Deepening Our Understanding of Language Models” appears to be a topic of discussion.
Tech companies are deploying large language models. Yet, there’s much to learn about how they work. These AI models have problems like biases and can be wrong sometimes. Researchers found different kinds of biases in them and ways they could be used, like for hacking. Attempts to fix these are short-term fixes. OpenAI’s method, using feedback from people, is one example. AI uses a lot of energy, especially for making images. This shows we need to use AI in a way that’s better for the environment.
AI Doomers Went Mainstream
The discussion on AI’s existential risks gained momentum in 2023, involving key figures like Geoffrey Hinton and Sam Altman, with debates on whether AI could surpass human intelligence and its consequences. Some, like OpenAI’s Ilya Sutskever, consider this a serious concern. Others, like Meta’s Yann LeCun, deem these fears exaggerated. This debate has sparked global policy discussions and actions on AI’s potential dangers despite differing opinions on its immediate versus future impacts.
The Days of the AI Wild West are Over
In 2023, ChatGPT’s influence led to widespread discussions on AI policy and regulation involving bodies like the US Senate and the G7. European lawmakers finalized the AI Act. It sets strict rules for developing high-risk AI. It also bans specific AI uses, like facial recognition by police in public. The White House has issued an executive order regarding Artificial Intelligence (AI). It promotes transparency and adaptable AI standards specific to sectors. Notable was the focus on watermarks to identify AI-generated content. Recently, there’s been a lot of legal action against AI companies. They used artists’ work without asking. In response, researchers have created a new tool called ‘Nightshade .’It messes up the data AI uses to learn, helping artists protect their work.
Now we know what OpenAI’s super alignment team has been up to
OpenAI has shared initial findings from its super alignment team. The team works to ensure that future intelligent AI systems are safe. These systems could be more innovative than humans. They also work to ensure that AI systems don’t act in harmful ways. The team is led by Ilya Sutskever, OpenAI’s chief scientist. He was part of the group that fired OpenAI’s CEO, Sam Altman, last month. He was reinstated after a few days.
Business as usual. Unlike many of the company’s previous announcements, this one does not indicate a significant breakthrough. In a modest research paper, the team describes a technique. It allows a weaker large language model to supervise a stronger one. This may help us learn how humans can supervise superhuman machines. Read more from Will Douglas Heaven.
Bits and Bytes
Google DeepMind used a large language model to solve an unsolvable math problem.
The company published a paper in Nature. They say this is the first time a big language model found a solution to a long-standing scientific puzzle. This produced new and valuable information that did not exist before. (MIT Technology Review)
This new system can teach a robot a simple household task within 20 minutes.
A new open-source system, Dobb-E, was trained using data collected from actual homes. Teaching a robot to perform tasks like opening an air fryer, closing a door, or straightening a cushion can be helpful. It could also help the field of robotics overcome one of its biggest challenges. Robotics needs more training data. (MIT Technology Review)
ChatGPT is Turning the Internet into Plumbing
German media giant Axel Springer owns Politico and Business Insider. It announced a partnership with OpenAI. The tech company will use its news articles as training data. News organizations can use ChatGPT to summarize the news. This column has a clever point. Tech companies are becoming gatekeepers for online content. Journalism is like plumbing for a digital faucet.” (The Atlantic)
Meet the former French official. He is pushing for looser AI rules. This happened after he joined the startup Mistral.
A profile of Mistral AI cofounder Cédric O, who used to be France’s digital minister. Before he joined France’s AI unicorn, he was a vocal proponent of strict laws for tech. Yet, he lobbied hard against rules in the AI Act that would have restricted Mistral’s models. He was successful. The company’s open-source models are exempt from transparency obligations because they don’t meet the computing threshold set by the law.