Demsay Demsay

Peter Steinberger (https://steipete.me/) shared his Agentic Engineering work flow

Agentic Engineering, Fancy Pizza, Wine – June 25, 2026, San Francisco, CA

Organized by Greg Kamradt (https://x.com/GregKamradt) and Deedy Das (https://x.com/deedydas?lang=en, Menlo Ventures)

– https://x.com/georgepickett
– https://luma.com/5mq0jlg5

China Is About To Pop The AI Bubble
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A better path for AI’s development may very well depend on the negotiation of one or more international treaties. This film is about three points across the last 70 years, where diplomats chose the hope of the future, over the promises of the present. If we have done it before, we can do it again.

Human domination relies on large-scale cooperation among strangers, which is sustained by bureaucratic systems – such as laws, finance, religion – designed to build trust. Since AIs are ‘native bureaucrats’, they can effortlessly remember all laws, transactions, and scriptures far better than any human. This leaves AI uniquely placed to take over critical processes, such as granting bank loans, deciding university admissions, determining prison sentences, and executing military strikes. Are we prepared?

The 2026 Tanner Lecture on Human Values took place at @linacrecollege3982, @oxforduniversity.

#YuvalNoahHarari #OxfordUniversity #AI #Bureaucracy #Futurology

AI is rewriting coding, programming–and the way we learn it. Software developer and AI educator Rainer Stropek shares a personal turning point: the moment he questioned what he was teaching… and discovered he’d never enjoyed building software more than he does now, developing with AI.

From the grief many developers feel when “the fun part” seems automated, to a surprising rediscovery of creative agency, this talk reframes the shift: code isn’t the destination, it’s one abstraction layer.

What matters most is the skill that sits above syntax: turning fuzzy ideas into precise intent. If AI can generate functions in seconds, what still makes a great developer, and what should we teach next? The answer might be simpler (and harder) than you think: clarity.

Rainer Stropek helps teams build software with AI and teaches developers how to work across new abstraction layers.

https://linz.coderdojo.net

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

AI is reshaping the classroom faster than our institutions can keep up, raising hard questions about what teaching is even for. Drawing on years in the classroom, Professor Amy Bruckman examines how teaching is already changing in the age of AI, and what the future of education might look like for students and educators alike. Amy Bruckman is Regents’ Professor in the School of Interactive
Computing at the Georgia Institute of Technology. Her research focuses
on social computing, with interests in online collaboration, social
movements, and content moderation. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

If you use AI in your professional life, or want to consider the wider implications of this shift in our technology, this panel event considered the questions many of us are asking.

The panel discussed two pressing questions:

What is the most serious risk to humanity posed by the development of AI?
What should we do to make sure AI works ethically, for the benefit of humanity?

The event was chaired by the Royal Institute of Philosophy’s Academic Director, Edward Harcourt, who is also Director of the Oxford Institute for Ethics in AI.

Panellists included:
Federica Lucivero (BRAID Fellow at the Ada Lovelace Institute and Associate Professor in Ethics of Technology at the Ethox Centre, University of Oxford)
Jens Munch (technology and AI strategist, entrepreneur and investor)
Priyanka Suresh (Data Scientist in AI Safety at Google DeepMind)
Shannon Vallor (Baillie Gifford Chair in the Ethics of Data and Artificial Intelligence at the Edinburgh Futures Institute)

As AI races ahead faster than our institutions can keep up, one question matters more than ever: what kind of future are we building?

At ARC 2026 we were privileged to be joined by Chloe Lubinski of Anthropic, who explored why AI may be more human-like than we realise, why the “character” of these systems matters, and why our moral imagination could shape the future of intelligence itself.

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Buy your 1st edition copy of our new book, The Age of Reconstruction: https://www.amazon.co.uk/dp/1916948510

With the return of the ARC Conference this June, we are publishing a brand new book — the most comprehensive synthesis of ARC’s philosophy to date. Drawing on Augustine, Tolkien, and a long tradition of civilisational thinking, The Age of Reconstruction charts a path from diagnosis to renewal. While many can point out where things have gone wrong, this book does what most can’t: it lays out a vision of what we must build, how, and why it is still possible.

Praise for The Age of Reconstruction:

“Will Western Civilisation flourish, or flounder? It depends on us, and the decisions we make right now. And Johnny Patterson’s wonderful ‘The Age of Reconstruction’ gives us the formula, based on timeless ideas and wisdom.” — Arthur Brooks, #1 New York Times Bestselling Author

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Chloe Lubinski leads Anthropic’s research partnerships with the world’s faith and philosophy traditions, convening scholars, clergy, philosophers, and ethicists alongside the company’s most senior researchers to help inform the moral formation of AI. She trained in cognitive neuroscience at UC Berkeley, completed four years of Ignatian spiritual direction formation, and holds a graduate degree at the intersection of theology and psychology from Trinity College Dublin.

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00:00 AI is moving faster than we think
01:20 Why intelligence can now be “purchased”
03:05 If AI can’t be stopped, how do we make it go well?
04:20 AI isn’t a normal computer program
07:22 Can AI develop a kind of “character”?
09:28 Why stories shape both humans and machines
11:16 Why AI labs need moral voices
12:02 The jobs AI may never replace
13:02 Can AI help us become more human?

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An AI tutor in Sierra Leone reportedly helped students gain a year of schooling in eight weeks, a claim even Google DeepMind cautions us to take with a grain of salt.

In this episode:

• Google DeepMind’s AI tutor education trial in Sierra Leone estimated students gained a year’s learning in eight weeks, using a re-engineered Gemini model.
• The AI learning tool, Guided Learning, was designed not to give direct answers, fostering productive struggle crucial for learning outcomes.
• Early findings suggest AI in classrooms might initially widen the gap for already proficient students, prompting Google DeepMind to investigate different pedagogies to support struggling learners.
• Teachers in the Sierra Leone trial adapted quickly to AI learning tools, discovering new teaching strategies and increasing one-on-one student interaction after just one day of training.
• Transparent research practices from Google DeepMind, including a public playbook and training materials, aim to allow wider adoption and scrutiny of AI for learning outcomes.

Chapters:

• 00:00 — Cold open & welcome
• 00:45 — Irina Jurenka’s shift to social impact at Google DeepMind
• 01:45 — The core tension: AI as assistant vs. AI for learning
• 02:45 — How Guided Learning became a true AI tutor education tool
• 03:45 — Overcoming the AI’s tendency to give answers
• 04:45 — The ‘take with a grain of salt’ claim on learning gains
• 05:45 — Addressing equity and the ‘widening gap’ concern in AI for learning outcomes
• 06:45 — Google DeepMind’s transparency and research integrity
• 07:45 — Transforming teaching practices with AI learning tools
• 08:45 — The future evolution of AI in classrooms

How did Google DeepMind’s AI tutor impact learning in Sierra Leone?
The AI tutor education trial in Sierra Leone estimated students gained approximately one year of schooling in just eight weeks, though this figure comes with a scientific caveat from the researchers.

Can teachers trust AI learning tools not to give students answers directly?
The Guided Learning tool, designed by Google DeepMind for AI in classrooms, was specifically engineered not to give direct answers, forcing students into productive struggle, unlike many public AI models.

Do AI learning tools widen the learning gap, or help all students?
Initial findings from the Sierra Leone trial showed that stronger math students benefited most, but Google DeepMind is actively researching different pedagogical approaches for AI to ensure it helps raise the floor for struggling students too.

Featuring: Dan Fitzpatrick, Irina Jurenka, Google DeepMind, Sierra Leone, Guided Learning, Gemini, World Bank, Stanford, Nigeria.

Follow AI in Education with Dan Fitzpatrick for more on AI in education.

What does it actually take to stay relevant, earn more, and stay valuable in an AI-powered world?

In this episode of Living Boldly, I sit down with Fisayo Fosudo — Nigerian tech and finance creator with over 700K YouTube subscribers and 100 million views — to unpack the real skills, habits, and mindset shifts that will matter in the years ahead.

From spending four years creating before seeing meaningful results, to building one of Africa’s most respected tech channels, Fisayo shares hard-earned lessons on attention, money, content creation, AI, and what it takes to stay ahead when the rules keep changing.

Whether you’re a creator, entrepreneur, professional, or student, this conversation will challenge how you think about work, relevance, and success in the AI era.

Follow Living Boldly

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⏱ Timestamps / Chapters
0:00 – Why You Shouldn’t Quit Your Job for Content Creation
1:16 – “Content Is Attention”: How Creators Really Make Money
1:52 – Is AI Coming for Your Job?
2:19 – 17-Year-Old Fisayo and the Wired Magazine Obsession
3:37 – Learning Visual Storytelling & Social Media
4:21 – Nothing Works in the First 6 Months (and Why You Should Still Start)
5:52 – First Brand Deals: Tecno, Samsung & the First ₦150k Check
6:30 – Pivoting into Finance Content & the 100k Subscribers in 1 Year
7:06 – The Math of YouTube: Views, CPMs & Brand Deals
8:58 – The One Video That Made $1,500 and Changed Everything
10:33 – Rethinking Wealth: What You Don’t See vs. Flashy Cars
12:30 – Investing, Fixed Deposits & Seeing “Real Money” for the First Time
13:27 – Treat Your Channel Like a TV Show (Programming & Verticals)
14:16 – Starting a New Finance Channel from Scratch (Feeling Small Again)
16:36 – Fail Fast vs. Stay Consistent: Finding the Balance
16:41 – Don’t Quit Your Job: Why Being a Broke Creative Is Dangerous
19:03 – If AI Knows Everything, Why Go to School?
21:39 – The Reality of AI Disruption
23:35 – The “Scary” Side of AI Speed & Autonomy
26:03 – What the Future of Creators Looks Like in an AI World
27:16 – Brands Using AI Instead of Creators
29:10 – The Creator Business Model
29:46 – Fisayo’s 50 Creator Calls: What Struggling Creators Have in Common
30:03 – Camera Shyness, No Niche & the Real Barriers to Starting
31:25 – Fisayo’s Full Content Creation Course & Cohort Model
32:17 – AI Literacy for High Achievers: Must‑Know Tools by 2026
35:33 – How to Monetize AI: Being the “AI Accelerator” in Any Team
36:08 – Using AI to Kill Repetitive Tasks & Buy Back Time
38:34 – Where to Use AI in Your Life (and What to Keep Private)
39:40 – Rising Scams, Fake Brand Deals & Being More Security Conscious
41:11 – Why You Must Show Your Work (LinkedIn, Proof & Storytelling)
41:55 – Taking Stock of Your Career & Redesigning Your Path
45:08 – When the CBN Deputy Governor Watched His Video
45:26 – Being Taken Seriously by Institutions Through Consistent Quality
46:28 – From E‑Naira to U.S. Secretary of State: The Power of a Personal Brand
46:41 – What Consistency Really Means (Not Just Posting Daily)
47:05 – The One Video That Changed His Life
47:52 – Rapid Fire Questions
48:31 – Closing: Using AI with Intention to Earn More & Stay Human