Chief AI Guy @madisonmarcusau | MD @FoundryLabsAU President @AusBlockAI | Co-Chair AI Working Group @DECAustralia
Sydney, New South Wales
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as part of @RBAInfo @DigiFinanceCRC Project Acacia, here's a primer on pubilc versus permissioned DLTs (distributed ledger technology), and on the back of the @RedbellyNetwork Insights podcast on right now (see nitter.net/RedbellyNetwork/status…), here's some explainers
First up Public vs Private DLT
Private Permissioned DLT:
- Only selected, known participants (such as specific banks or financial institutions) are allowed to join and validate transactions.
- Access is tightly controlled and not open to the general public; every participant is vetted and given explicit permission to participate.
- Used when confidentiality and control are top priorities, often for sensitive financial transactions.
Public Permissioned DLT (think more eligibility criteria which depends on market as @RedbellyAlan mentions in the show):
- The underlying platform is open and potentially accessible to anyone for certain functions (like reading the blockchain or using apps), but only approved participants can validate transactions or issue assets.
- A wider group can interact with the platform, but core functions (like settling tokenised assets or issuing CBDC) are restricted to those given explicit permission.
- Balances transparency and openness with the need for regulatory control and permissioned access.
In summary:
So in summary
- Private permissioned = access and participation are tightly restricted to a closed group.
- Public permissioned = the network is broadly accessible, but only whitelisted participants can perform critical functions.
Redbelly Insights - Episode 11 nitter.net/i/broadcasts/1kvJpyoyR…
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Let's go!
Introducing First Light ☀️🇦🇺
A new show from @SuperteamAU exploring the founders, ideas and emerging technology shaping Australia’s next decade!
Startups. AI. Web3. Innovation. Solana.
First founder conversations are being filmed this Friday.
More below 👇
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Mark Monfort retweeted
I lost my dog because we could not build her next mRNA cancer vaccine fast enough
Today we are announcing a $4M seed led by @foundersfund to change that.
Curing dog cancer
We are bringing personalized mRNA cancer vaccines to dogs and building the evidence to show how well they work.
We have raised a $4M seed led by @foundersfund to make it happen
This investment allows us to launch a clinical trial to validate the personalized cancer treatment protocol we developed for Rosie.
If your dog has cancer or you know someone whose dog does, please tell them about Gamgee.
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Mark Monfort retweeted
Redbelly Insights - Episode 29 nitter.net/i/broadcasts/1nxnRREDD…
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Experts in the Loop (LIVE) - 3rd July 2026 nitter.net/i/broadcasts/1rxmqqvzZ…
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I'm glad Belgium had their 12th player working with them for this game hahaha - Senegal were robbed
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Live with Restream, June 19 nitter.net/i/broadcasts/1vJpPPjDw…
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check out the latest Experts in the Loop podcast where @digisincas and I chat with @ArmsRosenberg on investing and AI piped.video/nLbRG3dSz44?si=uYO_…
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1/ something I shared on LI but HTML needs to be the way more things are shared as outputs from AI tools, apps, etc. Export to HTML as a default rather than .DOCX .MD .YAML etc - richer for agents to analyse and better for humans too
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2/ sure it has it's drawbacks for editing etc but it's a pretty good uplift if understanding and quick analysis is your goal - here's an app we're testing in-house at @MadisonMarcusAU - has an export to HTML button
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If you like prediction markets, this might be of interest
piped.video/TpTq8VGnPMA?si=kokX…
@FEX_GLOBAL @foundrylabsau @notcentralised
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A reminder to read and understand the plans of your AI coding assistant before executing (which is easier if you have it ask permissions as it goes along)... lest you have it mistakenly try to overwrite things outside of what you asked for.
If you don't read it, you can't understand if it's heading in the wrong direction and you can't do that if you don't at least have some understanding of the system you're building.
This is where EXPERTS in the loop makes a difference vs just theprototypical HUMANS in the loop etc
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The fact this sort of thing now makes it easier to generate deep fakes is pretty scary but hey, number go up
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the fact that there are very few telltale AI artefacts in the image generation of the new @OpenAI image model is both exciting and scary...
Anyway, well done ChatGPT but catch me tonight at the @AnthropicAI Claude Community Australia event at 8pm - link: luma.com/g3dhzsna
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