Dr Dan King examines how with the AI bubble swollen to 17 times larger than the dot-com crash and legendary investor Michael Burry betting heavily against the market, it is due for a correction. Perhaps giving rise to truly innovative AI companies, delivering meaningful impact.
Dr Dan King argues that commercial AI lacks the rigorous peer review that academia demands, with regulators unable to properly challenge practitioners' technical claims. AI companies should vet each other's work, as current self-regulation allows questionable practices and inflated metrics to persist unchecked until financial harm triggers legal action, as in the case of Australia'a competition regulator taking Microsoft to court. .
Dr Daniel King's take on the two-track AI race: 1. tech giants chase for 'super intelligence' through circular investments in AI 2. smart companies quietly making billions by pragmatically using AI's current capabilities.
Dr Dan King's interesting take on Trust and AI
With the rapid adoption of AI, particularly within corporates, Dr Daniel King highlights the potential risks to company data security. It's critical to ensure your data never leaves your data zone. An important cautionary read.
Dr Daniel King details a new era of reputation risk management. A company’s communication ecosystem is the bedrock for measuring and assessing threats to reputation, long before the damage is done. At Traffyk we are global leaders in analysing both internal workplace data and external signals across all stakeholder groups, and with the help of AI and machine learning, we can accurately predict and help manage reputational risks. Your people hold the key.
Dr Daniel King details the complexities of training an AI model, and importantly, a lot of money and human effort are central to this. Not for the faint hearted.
Dr Dan King lifts the lid on the true cost of energy consumption by AI company models, and how it will ultimately be passed to the customer.
Dr Dan King's masterful guidance on navigating the current job market, particularly for those looking at entry level tech roles.
Dr Dan King's reasoned thoughts on how AI can make human centric professions more valuable, rather than obsolete.
Dr Dan King illustrates how AI has a long way to go before it replaces humans.
Dr Dan King illustrates the challenges faced by AI in tackling complexity, cutting through the current hype 02
Dr Dan King details AI's critical role in improving productivity, giving humans time back to think deeply, strategise and address the problem for the long term.
Dr Daniel King has a knack for providing unique insights into the impacts of AI - this time from a power perspective.
Dr Daniel King draws a fascinating parallel here between nuclear testing and AI development that sparked an important conversation with our team. Just as the Trinity test permanently altered Earth's atmosphere in 1945, we're witnessing AI systems create a similar irreversible change in our digital ecosystem. The implications? AI models training on AI-generated content, creating feedback loops that could fundamentally limit future progress.
