AI Insights Newsletter – 24th June 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

Week full of AI Events

What a great week in the world of AI with some big events this week. We attended the AI Build Club Demo Day on Monday night at The Collider, in Tech Central, Sydney. 5 of the 15 groups pitching getting to go to San Francisco to demo over there too – LinkedIn

Here’s Annie’s write up on it too – LinkedIn

Congrats to Dragonfly Thinking who won the AI Sprint event at Stone and Chalk this week as well – LinkedIn

Here’s our write up on it

Unlocking expert capital

Sharing a LinkedIn post here. From Ethan Mollick. This highlights the need for experts in the loop when it comes to AI processes and it’s certainly something that we’ve been seeing as well and why we’ve built SIKE the way that we have. Recent research put out by Francois Chollet show that you need knowledge of certain problem solving techniques to get the best out of AI and given that experts can be the ones that input that into a model, whether it’s via documents or instructions or notes in SIKE, that’s where the best knowledge outputs come from. This is especially more so because experts are the ones that can actually tell whether or not an output is useful or not. That said, AI can still be very useful to help level up your knowledge and skills no matter your level of expertise. – LinkedIn

Anthropic’s Claude Sonnet 3.5 update

Anthropic dropped an update to their Claude model with Sonnet which looks quite interesting (despite some initial message limits) – Ethan’s X Post

Its artifacts feature seems like a more feature rich version of the function calling we get in ChatGPT. X post from Skirano

I had my own take on it here too where I showed it being used as a way to visualise explanations of how ETFs and blockchain works – see X post here

GPT2 as good as neuroscientists?

Some really interesting points shared in this video on an AI paper showing how LLMs, when pre-trained on a specific field (in this case neuroscience) can be an even better performer than human equivalents.

What’s interesting here for us is that they highlighted how its better to be domain specific because just a generic vectorisation of words would cut up a complex word in neuroscience like “excitatory postsynaptic potential” into shorter parts. Domain specific ones would keep the word as a single token and therefore be able to perform better at next word prediction.

The video also highlights that it could get interesting if you perform scientific tests with a null and alternative hypothesis and get the domain-specific AI to do their own sets of testing and compare that versus what a human would have output. We allude to this sort of testing as well when it comes to our AI versus series especially the first episode where we looked at what SIKE would do if it were to start an association (like the Aus DeFi Association we built not long ago).

Very interesting seeing AI, when used for what it’s strong as, see amazing results.

Further on that thinking, there’s another thing we know AI is good at when it comes to data, and that’s anomaly detection. We’re not talking here about AI doing data analysis with function calling help (though that is cool) but rather, the LLM doing some sort of data analysis on its own. Something we’ll show more of in future episodes.

AI for lawyers

An interesting post here on how to use copilot for legal tasks. Worth a look through if you’re interested in ways to use AI in the legal fields in general. – LinkedIn

How Gen AI is leveling the playing field for smaller business

Something we got to know last week but didn’t get to highlight was meeting 2 authors from this Harvard Business Review article on how AI helps small businesses. Kim was on stage and Graham was in the audience as we spoke about AI at the Fintech Marketplace event but we completely agree with the findings they shared that showed how AI can help small businesses. It is game-changing for them, that’s for sure. – Harvard Business Review article

Cisco and AI

Cisco powers a lot of the digital world but many end users have had no idea just how much. That might change now that Cisco is getting more publicly into AI with it now being easier to implement Cisco products into their stack (normally something only available to companies who could afford Cisco software and the engineers needed to run it). Here’s to more companies lowering barriers to entry for all things good in tech. This is great as we’re all going to need robustness when it comes to technology stacks in a future where it’s easier for hackers to try to harm others. Matt Wolfe video below.

Safe Superintelligence on its way

Ilya Sutskever who just left OpenAI has started a new venture called SSI. Here’s a post announcing what we do. X post here

Perplexity vs Wired

Wow, a lot to unpack here in this CNBC video with Wired editor Katie Drummond. The episode is partially about the issue of Perplexity seeming to ignore the robots.txt files that are on websites saying who can/cannot scrape data from them but it also devolved into the host seeming to mix up Google’s AI search issues (coming up with obscure Reddit references) and what Perplexity does. He may well be representative of what mainstream opinions are of AI and the fact he says the only AI he wants is when it has sentience is also bewildering. CNBC itself has a lot of technology behind its news platform and no doubt has aspirations for AI innovations itself. Yet, when its host comes across as he does here, it’s ironic that he had a look of perplexity the whole time.

Interestingly, blockchain technology could better help with agreements on who can scrape versus not when it comes to websites and doing so with micropayments to pave the way making this suitable for publisher and scraper. X post we had on this here 

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.