Dr Daniel King examines increased threats against AI companies and protests against data centre construction plans. The solution isn't more security, but rather real transparency, sensible regulation and human centred AI, which is central to the work we do at Traffyk.
Dr Daniel King highlights the issue of AI token costs, drawing an analogy with the run away costs of dial up internet many years ago. We take steps to manage it at Traffyk - read on to understand more.
Dr Daniel King highlights the importance of keeping human thought at the center of creative endeavours. Without those insights, overlaid on AI, we couldn't build the signals. Human first, human last AI is central to all we do.
The big AI companies seem to want you focused on the hype around the sentience debate. I see that many Australian corporates seem to have taken the bait but we see that US corporates have moved on. They are deploying, measuring and adjusting. Knowing the limits of these models is what separates responsible, successful deployment from finding out the hard way. Human first. Human last. Always.
In a recent spate of audiences booing speakers talking about AI, and research saying that roughly half the population is more concerned than excited about the technology, Dr Daniel King argues that it's not hard to understand why. A shotgun approach by organisations, embedding AI into everything before it was ready, has produced hallucinations, friction, and fatigue. What we see from our customers is that AI's quiet believers, around 10-13% of employees, aren't the loudest voices but in the room but they're the ones benefiting from AI that works invisibly, surfacing insight that wasn't previously possible. AI doesn't need to announce itself to be valuable. With AI working behind the scenes, carefully managed and developed by humans, everyone wins.
If you’re seeing a growing goblin obsession in ChatGPT or Claude keeps telling you its bedtime, it is largely a result of generality vs. specificity in LLMs. Dr Daniel King deciphers the inverse relationship between these and potential unintended outcomes. Another great insight.
Traffyk hosted a breakfast with senior executives and corporate affairs leaders on the most impactful drivers of reputation. It fuelled a really lively discussion, and it was interesting to see the data on internal signals being the most predictive of reputation.
Dr Daniel King argues that real productivity isn't unlocked by taking humans out of the loop and leaving it all to AI. But rather using subject matter experts together with AI experts to define "What looks good". That thinking "Looks Good To Me."
Dr Daniel King argues the point for diversifying AI suppliers, what might seem efficient at the outset, soon reveals to be fraught with issues from concentrating around one provider.
Dr Daniel King counters that recently announced job losses are the result of AI adoption. At Traffyk.ai, we see that deploying AI meaningfully requires work. Organisations have to map workflows, identify inefficiencies and determine where automation genuinely fits. As a positive, this process reveals duplicated effort and redundant tasks that are hiding in plain sight. AI is not eliminating labour. It is exposing poor organisational structure and rewarding those who combine automation with human judgement. An insightful take on a newsworthy topic.
Dr Dan King highights the rudimentary judgement of AI, cautioning they are certainly not ready to command weapons.
Dr Daniel King says when it comes to AGI, behaviour change will be the signal. Watch what stops being said rather than what gets published.
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Dr Daniel King’s take on AI agents like Openclaw. On the surface seem to be the assistant we’ve all been looking for, but they also carry risks. Interesting insight into where consumer AI agents are heading. The question is are we there yet?
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'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.
