AI Insights Newsletter – 8th July 2024

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Welcome back everyone to another AI Insights newsletter by NotCentralised. We explore the interesting things we’ve been finding on the world of AI this past week and synthesise it for the things we think you should care about.

If you’re interested in talking with us about how to get the best out of AI for your work then feel free to get in touch with us either on this contact form or email

SIKE on the Digital Nexus podcast

First up, it was great to see SIKE on show in the new Digital Nexus podcast we run in conjunction with Digital VIllage. In the examples section, we showcased how SIKE can make content consistent with your writing style (see 37:45 of the video)

Awards time

In the local community, it’s time to give a big congratulations to Sarah Kaur for winning the award for Creative Industries award at the Women in AI Asia Pacific awards last weeek.

See the post here.

DSAI event recap with NVIDIA

Michael Wang. President of the Data Science and AI Association of Australia (DSAI) here with a post highlighting the awesome event DSAI did with NVIDIA last week. See his post here

New Australian AI startup, Redactive

An AI platform helpinig software developers build AI applications and created by ex-Atlassian stuff certainly sounds interesting. See the AFR article on this here.

Sam Altman and his Aspen Ideas

Sam Altman, speaking at the Aspen ideas festival said that there was going to be a significant leap forward when it comes to GPT5. He also spoke about the need for continuous release of product and iteration because the alternative is that a model just shocks the public when it comes out, whereas iterative releases allow for a slow buildup. That’s a good point and contrasts the critiques of announcing things too early Or when they’re not ready for release. Certainly calls into question for product builders, do you just release and continue iterating or wait until something’s more complete. It depends we guess on whether or not you’re building something like OpenAI and gamechanging technology. See the Tom’s Guide post on this here

Also, here’s the video replay on YouTube 

Microsoft partner to further AI in education

Microsoft announce their partnership with HEDx to further what’s being done in the world of education. More on this in Katie Ford’s Linkedin post.

Cohere and the efficiencies of AI

Various topics discussed here from Coheres CEO on podcast talking about their learnings and perseverance training models on the face of others doubting AI capabilities. At 16.30 the SVIC guys talk about something we’ve seen is a basic truth that keeps getting downplayed by some and that is the ability for these tools to improve processes. They describe where a doctor has very little time to go through a patients history so will use AI to give a summary of that just before seeing them and saving time doing so. Perfect use case.

New Attack vectors thanks to Gen AI

Generative AI opening up new attack vectors. See the ZDNet article here.

Kyutai makes it mark

French AI company, Kyutai made a splash last week with super low latency voice to voice model which they’ve made open source. Here’s a a post where we showcase us trying out the technology. It gets a bit confused but that will no doubt improve over time. Link here.

You can try it out at Kyutai’s website where you choose whether you access the US or European servers. Website here.

Perplexity issues highlight a blockchain tech opportunity

We saw our friend, Gareth Rydon at Friyay post on his love of Perplexity, the AI + search tool that’s rivalled Google (and currently beating it whilst Google works out the kinks in its AI-enabled search that was giving funny answers last month). A comment in there highlighted that Wired was suing Perplexity for not adhering to acceptable internet practice of not scraping when the robots.txt page on the website doesn’t allow you (for more on robots, see this summary).

What’s interesting here is that we can see things like this as a use case for blockchain where you have tighter restrictions and even firewalls tied to smart contracts that allow you to scrape only if you’ve been white-labelled which may be tied to you being a current subscriber or not. Additionally, if transactions are small and pay as you go, you could use blockchain for the various micropayments that would be made here. Traditional financial systems aren’t great at micropayments because of the cost but blockchain is built for this.

A combination would be great but we shall see. Read more of that thread here.

Training the training data, but with issues

The LAION-5B dataset, a model used to train many other AI models, has been found to contain identifiable photos of Australian children and there are likely more according to an investigation by Human Rights Watch. Check out the article here.

SIKE for creating content in your style

We’ll leave you with an example we showcase in our PromptHub document which showcases how you can get SIKE to write content in a similar way to your style of writing (or that of your company). We use Dreams for this and show step by step how you can do it. Check that out here inside our SIKE Product Guide.

Get in touch

Stay tuned for more insights from us next week and if you’re interested in SIKE (our privacy focused AI tool), then you can check out more on what it’s about here.

If you’re interested in learning more, reach out to Arturo Rodriguez or 📈 Mark Monfort here and get in touch with us here or on email at

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Mark drives innovation with his deep understanding of AI, blockchain, and data technologies. His experience spans over 15 years of contributions to finance, technology, and operational strategy across Australia, Europe, and North America.

In 2021, he transitioned from Head of Data and Technology at a leading Australian accounting firm to startups. Prior to this, he worked in equity and macroeconomic research in the capital markets space.

Mark brings a passion for data and insights to NotCentralised. His understanding of AI and blockchain technology is central to the development of workplace productivity and financial system modernisation products, including SIKE and Layer-C. Mark’s dynamic and solutions-focused methods enable the navigation of complex technological landscapes and new market potentials.

Mark holds an Executive Master’s and a Bachelor of Commerce. He led the creation of the Australian DeFi Association and serves on the advisory board for the Data Science and AI Association of Australia. His commitment to such communities demonstrates his enthusiasm for emerging technologies and vision of positive change through technology adoption.


Nick spearheads product strategy and institutional business development, leveraging a rich background spanning 23 years in capital markets and financial services across the UK, the US, and APAC.

In 2020, Nick transitioned into startups, bringing extensive experience in asset management and corporate advisory from roles including Director, Head of Australian Fixed Income at Abrdn and Managing Director, Head of Corporate Credit at Gresham Partners. His expertise extends to client management across the government and private sectors.

With a First Class degree in Law and Criminology and Chartered Financial Analyst experience since 2002, Nick is known for his energetic and creative approach, quickly appraising business models and identifying market opportunities.

Beyond his role at NotCentralised, Nick actively contributes to multiple startups and SMEs, holding various Board and advisory positions and applying his institutional expertise to early-stage ventures. Nick is fascinated by emerging technologies with significant societal impact and loves to immerse himself in nature.


Arturo leads product development and software engineering, applying over two decades of experience in technology, capital markets, and data science. With his years of programming expertise, Arturo smoothly transitioned into blockchain, AI, and machine learning.

Arturo has built and sold technology startups across Europe, following quant derivatives roles in global investment banks. His prior experience includes data projects for the NHS in the UK, Strategic Technology Advisor at Land Insight, and Senior Advisor to OpenInsight, where he built predictive models for vessel usage in commodity markets.

A mathematics and statistics graduate from Stockholm University, Arturo’s early grounding in logic problems and data manipulation techniques is evident in his practical applications. His work building equity derivative pricing models for Merrill Lynch and Royal Bank of Scotland showcased Arturo’s highly specialised skillset.

Arturo relocated from London to Australia in 2020. Beyond NotCentralised, his passion for technology and industry involvement extends to the Australian DeFi Association, which he co-founded, and regular contributions to the Data Science and AI Association.