Philosopher John Locke defined Consciousness as, “the perception of what passes in a man’s own mind”. In the western systems, self-awareness plays a fundamental role in attributing anything as conscious. But despite the bold claims of many LLMs being self-aware, we know that they’re not conscious. Some classic examples: LAMDA by google & Chatgpt by openAI. This opens up the window for a discussion on the importance of self-awareness along with, trust, & introspective approaches to consciousness. Consciousness is not just a passive state of awareness but often involves deeper aspects of knowing, being, & experiencing reality. So from this perspective, So can machines have subjective experiences or autonomous intentions? Can the consciousness of a machine be born, evolve, and die? And many other questions…. But most importantly, Can a machine prove its self-awareness of its being in a manner that can be trusted, especially in the age of AI hallucinations, inaccuracies, etc.? Communicating the experiences might be a relatively easier task with the progress in Natural Language Processing. The AI landscape is at a crossroads. Today’s AI development is bottlenecked by centralized models and narrow objectives. How do we unlock the full potential of AI? Current AI models thrive on specific, narrow tasks but struggle to adapt beyond them. This specialization limits AI’s broader applicability and innovation, keeping us from harnessing the true value of artificial intelligence.
AI development is no longer a winner-takes-all race. Small contributors can monetize their work, legacy systems find their value, and diversity in AI models thrives, pushing the boundaries of what’s possible. Imagine an AI ecosystem that grows smarter, more diverse, and more equitable every day.
News publishers are very willing to experiment with tools, with experimentation at scale already underway This was combined with an appreciation that the playbook for what works would have to come from them reveals what it is capable of through trial & error.
There are innovative experiments at scale underway at Global South publishers… But they are facing a more stark trade-off as they tend to work in tougher financial environments. Tools are potentially impactful but the boldest uses come with risks that can’t yet be mitigated. There was great interest in technical insights into how AI can tackle disinformation… But on this issue, as in others, many news organizations were concerned that their interests do not align with those of tech platforms.
In the second half of the year, and in the light of tech deals and litigation, intellectual property (IP) issues were top of mind for many news publishers and informed their thinking about AI and their approach to collaboration in other areas.
