Dr Daniel King's curtain raiser on the year ahead for AI. Where 2025 brought AI hype, 2026 brings reality checks. The winners? Practical, human-in-the-loop tools solving specific problems...
Dr Daniel King has unearthed interesting developments in AI in 2025, beyond the hype, worth knowing about.
Dr Daniel King looks at tools like Anthropic's Cowork, promising to automate knowledge work, but their impressive demos mask critical flaws. Understanding their shortcomings reveals how...
Dr Daniel King looks at how leading AI industry benchmarks are flawed. they don't translate to real-world performance, they report selectively and reflect self developed evaluations. In esssence...
Dr Daniel King's assesment of Australia's National AI Plan - “Much vision, little obligation, and even less that would actually shift Australia up the AI value chain."
History tells us that transformative developments take decades, not years. Dr Daniel King's measured take on the pace of innovation, evidence to moderate our expectations around AI.
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Dr Daniel King’s insightful view of the AI race, with Google leading the way, outpacing the rest through infrastructure investment.
Dr Dan King's perspective on AI risk. Compared to the speed, efficiency and power of the human brain, AI won't enslave us. It's too dependent on infrastructure. The bigger threat is the weaponization of AI. The answer isn't fear. It's better cybersecurity and genuine human connection.
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.
