AI News – Global

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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Go deeper with ARC Research. Read reports, articles, and academic papers underneath our talks – all pointed towards advancing education, promoting research, and developing ideas about the keys to human flourishing and prosperity. https://www.arc-conference.com/research-papers

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If you have any questions for us, or would like to partner with us, contact us here: info@arc-conference.com

Zhipu’s GLM 5.2 dropped last week and Silicon Valley noticed immediately. The Chinese open-source model is closing in on the American frontier on the benchmarks that matter most for agentic work. And it’s free to download, fine-tune, and run on your own servers. Developer adoption on OpenRouter is moving faster than DeepSeek did back in April.

This week we ask what it actually means for enterprises, for vertical AI companies, and for the infrastructure trade underneath all of it.

Box CEO Aaron Levie on how enterprises are thinking about model selection when capable open-source is in the mix. Harvey co-founder and president Gabe Pereyra on building specialized AI on top of open-source infrastructure. And Bernstein’s Stacey Rasgon on OpenAI’s new Jalapeño chip and what the race to cut inference costs means for Nvidia and Broadcom.

Chapters:
00:00 Introduction
1:02 Zhipu’s latest model, GLM 5.2
5:12 Gabe Pereyra, President and Co-Founder, Harvey
8:41 Aaron Levie, CEO, Box
36:31 Stacy Rasgon, Senior Analyst, Bernstein Research

Anchor and Columnist: Deirdre Bosa
Produced by: Jasmine Wu
Edited by: Andrew Evers
Senior Director of Video: Jeniece Pettitt
Additional Footage: Getty Images

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Z.AI And The Chinese Open Source Moment

An inside look at Google’s latest creative tools from the people using them to make film, art, games, music and more. See how musicians, designers, coders, and filmmakers at Google Creative Lab and Labs are using Google Flow, Antigravity, Genie and Google Flow Music in their creative processes.

Speakers: Matthew Carey ,Alex Chen, Sanchit Sawaria, Khyati Trehan, Kaloyan Kolev Shashwath Santosh, Samuel Lawton, Henry Ives, Kendall Rankin