In 2023, predictions about the future of AI, Big Tech, and AI’s impact on industries were partly accurate. Looking forward to 2024, specific trends include the rise of customized chatbots for non-tech users, advancements in generative video models, the spread of AI-generated election disinformation, and the development of robots with multitasking abilities.
Early warning earthquake systems have changed the way people perceive earthquake threats, providing valuable seconds to minutes of warning to prepare for potential damage. Scientists are increasingly open to the possibility of earthquake prediction, exploring phenomena such as slow earthquakes and animal behavior as potential indicators. Machine learning is being applied to improve earthquake prediction…
In 2023, AI saw a surge in generative AI advancements but also faced skepticism due to flawed language models. Concerns over AI doomerism and regulation grew, with policies like the EU’s AI Act and AI-related lawsuits gaining attention. OpenAI’s superalignment team is working on preventing harmful AI, but progress remains gradual. (Words: 50)
The emergence of generative AI and its potential impact are causing a paradigm shift resembling the early days of the internet. With the technology inherited from it, generative AI presents unresolved issues including biases, copyright infringements, job disruptions, misinformation, and ethical implications. The real killer app for AI is yet to materialize.
The emergence of generative AI is profoundly changing today’s enterprises, with 76% of global organizations already using or planning to adopt this technology. Despite its benefits, leaders must carefully strategize, overcome challenges, and ensure data sufficiency. External providers can offer valuable expertise, and investments in talent, data, and privacy solutions are crucial for success.
OpenAI’s superalignment team published results in a low-key research paper, presenting a technique for a less powerful language model to supervise a more powerful one, addressing how humans might supervise superhuman machines. However, their approach’s effectiveness remains unclear, with mixed results indicating the need for further work. OpenAI also announced a $10 million funding initiative…
Google DeepMind’s new tool, FunSearch, utilizes a large language model to solve a previously unsolved mathematics problem. This approach marks a breakthrough by harnessing large language models for factual discovery in scientific puzzles. FunSearch’s unique methodology of code suggestion and refinement offers potential for diverse problem-solving applications, including the recent success in addressing the bin…
A new open-source system called Dobb-E can train robots for domestic tasks using real home data, addressing the lack of training data in robotics. Utilizing an iPhone and reacher-grabber stick to collect data, the system achieved an 81% success rate in executing household tasks over 30 days. The team aims to expand Dobb-E’s capabilities.