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Henry Garner
@hendroid.io
3.9K followers 1.7K following 230 posts
Principal Engineer & AI Lead @juxt.pro AI/ML • data intensive applications • product Author of Clojure for Data Science https://cljds.com/book Maintainer of Clojure(Script) library kixi.stats {London | Cambridge | Brighton}, UK
cljds.com
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Henry Garner @hendroid.io · Jul 28
[Updated link] www.juxt.pro/blog/xt25-fi...
JUXT Blog: From Unstructured to Actionable: AI-Powered Regulatory Intelligence
Watch Henry Garner's talk at XT25 Fintech Conference [video]
www.juxt.pro
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hendroid.io
Henry Garner @hendroid.io · Jul 27
Don’t let the title fool you, this is one of the most personal talks I’ve given.

It goes beyond the technology: I think AI skeptics are missing genuine opportunities, while AI enthusiasts risk sacrificing the context required for mastery, satisfaction, and responsibility.

Please watch and share.
JUXT Blog: From Unstructured to Actionable: AI-Powered Regulatory Intelligence
Watch Henry Garner's talk at XT25 Fintech Conference [video]
www.juxt.pro
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hendroid.io
Henry Garner @hendroid.io · Jul 23
Find someone who looks at you the way Skoda designers look at Mary Poppins
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Henry Garner @hendroid.io · Jul 23
New JUXTCast episode! I had a blast chatting with the team about our upcoming AI Radar. We explored practical insights beyond the hype, from inconsistent AI engineering studies to why classical ML still matters. Thoughtful perspectives to help navigate the AI ecosystem: www.juxt.pro/blog/juxtcas...
JUXT Blog: JUXT Cast: Mapping the AI Landscape
A behind-the-scenes look at the new JUXT AI Radar [video].
www.juxt.pro
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hendroid.io
Henry Garner @hendroid.io · Jul 18
I did a podcast! Many thanks to @juxt.pro for inviting me to talk about a project I’ve been working on for the past few months: the JUXT AI Radar 📡

Links for all the usual podcast platforms here: juxt.pro/blog/juxtcas...
JUXT Blog: JUXT Cast: Mapping the AI Landscape
A behind-the-scenes look at the new JUXT AI Radar [video].
juxt.pro
Reposted by Henry Garner
taylorlorenz.bsky.social
Taylor Lorenz @taylorlorenz.bsky.social · Jun 23
I spent months on this video about people worshiping ChatGPT, please watch and leave a comment and share if you can!! My YouTube channel is still so small that I lose money making these videos rn 😭. Every little bit helps!! www.youtube.com/watch?v=zKCy...
ChatGPT Is Becoming A Religion
YouTube video by Taylor Lorenz
www.youtube.com
83 290 1.3K
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Henry Garner @hendroid.io · Jul 1
So for me, the question isn't whether AI can think like us. It's whether we can design it to help us think better.
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Henry Garner @hendroid.io · Jul 1
It's not just about commercial success: in every regulatory framework—now and for the foreseeable future—humans are accountable. To exercise effective oversight we need context, not just conclusions.
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Henry Garner @hendroid.io · Jul 1
The fascinating thing is that while the science goal dominates headlines and captures public imagination, the commercial AI successes so far have come from the innovation side combining sophisticated models with human control and creativity.
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Henry Garner @hendroid.io · Jul 1
Yet there's always been a parallel 'Innovation Goal' focused on extending human capabilities instead of replacing them. William Ross Ashby wrote about Intelligence Amplification, (IA, not AI), back in 1956.
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Henry Garner @hendroid.io · Jul 1
Ever since the earliest days of cybernetics we've been captivated by what Ben Shneiderman calls the 'Science Goal' of building systems that can replace human judgement entirely.

And this long-imagined future where autonomous agents and robot teammates take over our roles may finally be upon us.
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Henry Garner @hendroid.io · Jul 1
There are two grand goals of #AI research, and we're fixated on the wrong one.
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Henry Garner @hendroid.io · Jun 30
Another day shovelling thoughtcoal into the Claude-furnace
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Henry Garner @hendroid.io · Jun 27
The Work of Software Engineering in the Age of Mechanical Reproduceability
ichimnetz.com
Nils Binder @ichimnetz.com · Jun 13
There was a time when anyone could be an artist 👨‍🎨 — if they loved the work enough.
Then came the professionals.
Then came the camera.

Today, it’s not paint that’s being replaced. It’s code.

9elements.com/blog/when-sk...
When Skill Became Obsolete: Art, Code, and the End of the Amateur - 9elements
Combining finest craftsmanship with elegant design to ship innovative digital experiences.
9elements.com
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Henry Garner @hendroid.io · Jun 26
Am I “ready to revamp my AI strategy for 2025?” I don’t know grandma I just wanted to drop in and give you these flowers
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Henry Garner @hendroid.io · Jun 25
*nods*
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Henry Garner @hendroid.io · Jun 25
Are you sure you know which are the ‘predictable and routine’ tasks which can be safely delegated? Are you practicing reliable, safe, and trustworthy #AI use?
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Henry Garner @hendroid.io · Jun 25
The flexible nature of current AI interfaces means we choose our relationship with it via our prompts: an autonomous assistant, a reasoning partner, and everything in between.
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Henry Garner @hendroid.io · Jun 25
Yet AI has also scaffolded our own understanding of new frameworks with examples and visualisations, and facilitated debate about competing designs before we commit.
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Henry Garner @hendroid.io · Jun 25
As leader of JUXT’s AI Chapter, I’ve observed for myself how easy it is for us fall into ‘vibe coding’, accepting AI suggestions uncritically and gradually losing our situational awareness.
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Henry Garner @hendroid.io · Jun 25
The sweet spot (except for predictable, routine tasks) combines high automation with high human control. He calls these systems "reliable, safe and trustworthy”.
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Henry Garner @hendroid.io · Jun 25
Ben Shneiderman, author of the book 'Human-Centered AI', argues that the choice between human control and computer automation is a false dichotomy. They are actually orthogonal dimensions creating four distinct regions.
A chart showing “computer automation“ on the x axis and “human control” on the y axis adapted from Ben Shneiderman‘s ‘human-centered AI’ framework. The top right, corresponding to high human control and high computer automation, is labelled “reliable, safe and trustworthy“.
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Henry Garner @hendroid.io · Jun 25
The difference in outcomes was striking. The second approach, where AI built on investors’ own ideas, led to better portfolio diversification, fewer but more strategic trades, and significantly higher satisfaction: 67% versus 43%.
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hendroid.io
Henry Garner @hendroid.io · Jun 25
In the first approach, AI generated recommendations for investors to review. In the second, investors developed their own investment thesis first then received feedback on their reasoning from the AI.
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Henry Garner @hendroid.io · Jun 25
Researchers recently studied two fundamentally different approaches to AI-assisted investment decision making: www.microsoft.com/en-us/resear...
AI, Help Me Think—but for Myself: Assisting People in Complex Decision-Making by Providing Different Kinds of Cognitive Support - Microsoft Research
How can we design AI tools that effectively support human decision-making by complementing and enhancing users’ reasoning processes? Common recommendation-centric approaches face challenges such as in...
www.microsoft.com
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