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The first people AI is paying aren’t programmers. They’re mothers.

A Monday read on India's accidental new export: human hands, by the hour.
A few years ago, everyone had the same prediction.
AI+18 LIKES4 RESTACKS
Abhi's avatar
Abhi
This piece perfectly captures one of the biggest ironies of the AI era: the future isn't being built only in research labs or boardrooms—it's being built in ordinary homes by people doing ordinary things. The fact that everyday human experiences and movements have become valuable training data is both fascinating and unsettling.
What struck me most is that this isn't just a story about AI or robotics. It's about how the invisible work of millions of people is quietly becoming the foundation of the next technological revolution. History may remember the companies that built the robots, but it should also remember the people who unknowingly taught them how to be human.
Brilliantly written. Thank you for highlighting a perspective that's easy to overlook.

The Agent Optimizer: Using AI to Build Reliable AI

Hi all,
Fursah AI30 LIKES1 RESTACKS
Cameron Fen's avatar
Cameron Fen
This is a great breakdown of how AI engineering is shifting from building agents to building systems that can continuously improve them. The feedback loop between evaluation, optimization, and real-world data feels like the key to making agents truly reliable.
Curious do you think autonomous optimization loops will eventually become the standard way we develop all AI systems?

The AI Productivity Tax: What AI Is Quietly Charging Your Business

Every ounce of speed AI gives your business is a withdrawal from another line on the balance sheet. Here’s the bill most founders never read.
Hey, it’s Daniil
Creators AI and Christopher Lind4 LIKES
Cameron Fen's avatar
Cameron Fen
This is a great reminder that AI should amplify human judgment, not replace it.
The biggest risk isn’t using AI it’s losing the context, creativity, and trust that made the business valuable in the first place.
where do you think founders are most likely to over-automate today customer relationships, creativity, or operations?
Clyde's avatar
Clyde
Well said! Use AI for fast, non-thinking work that feeds humans the tools to run businesses and do actual creating.

AI Governance Needs Radical Optionality

One of the most valuable things governments can build today is the capacity to govern advanced AI competently in the future.
Charlie Bullock, Senior Research Fellow at the Institute for Law & AI — July 6, 2026
AI Frontiers19 LIKES3 RESTACKS
Amy R. Worley's avatar
Amy R. Worley
Interesting idea. Similar to expectant management in medicine. In the US, at the moment, we're in a strange place strategically for this to work. Last Monday, June 29, the US Supreme Court ruled that the Federal Trade Commission, which has historically been the technology regulator, at least with respect to privacy, security and AI, is no longer a politically independent agency. It does not have to be bipartisan, and all who serve do so at the pleasure of the president. This makes it very difficult to build the kind of expert staff and marketplace of ideas needed to brainstorm and test potential regulatory ideas. Radical optionality is difficult with radical politicalization. What we are left with, by default, at the present moment is regulation by threat of litigation. This reduces certainty and can disincentivize riskier innovation by small players who cannot risk a big verdict. If you're interested, you can read a piece I wrote about the SCOTUS decision, Trump v. Slaughter, here. https://confidenceadvantage.substack.com/p/regulatory-predictability-slaughtered?r=3zgkmd
Matej Kruska's avatar
Matej Kruska
Good framing. Optionality seems like the right bridge between speed and safety, especially if the state can build expertise without locking in brittle rules too early.

Evals in Himalayas : Inside AI's Global 'Evaluation Gap

note on why AI Benchmarks Don't Predict Real-World LLM Performance, written from a hill with bad wifi .
I am writing this from a wooden table in Himachal, at an altitude where the wifi comes and goes like it has somewhere better to be. There is a dog outside who has adopted me for the week, a cup of chai going cold next to my laptop, and somewhere below the fog line, an entire mountain I still haven’t figured out how to describe without sounding like a po…
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The missing half of AI futurism debates

Why we should think a little harder about what it takes to build a Dyson Sphere
This post is part of Epoch AI’s Gradient Updates newsletter, which shares more opinionated or informal takes on big questions in AI progress. These posts solely represent the views of the authors, and do not necessarily reflect the views of Epoch AI as a whole.
JS Denain and Anson Ho35 LIKES2 RESTACKS
Noah Birnbaum's avatar
Noah Birnbaum
I feel like y’all didn’t address the biggest objection to this kinda work, which is just that it is very punt-able (https://forum.effectivealtruism.org/posts/XNMhYiA8GmJbBLHXg/which-questions-can-t-we-punt). At some point in the future, the AIs will or will not be able to do those things, but if we can’t get granular enough answers now about how many of those things to be useful, we can just wait for them to happen/ wait to get more information to get more leveraged answers that we can actually make decisions based on.
Zac Hill's avatar
Zac Hill
This is great. Not an especially revealing point in the scope of things, but I would add: irrespective of modeling superintelligence, it is *really hard to model future rate limiting variables in complex systems*. Almost nobody was talking about TSMC as a natsec issue ten years ago. Only really niche people had strong opinions about tungsten. I think even if you grant physically modelable and manufacturable ‘super intelligence as a service’, there are tons of totally plausible fundamental rate limitations that no amount of intelligence can solve without corresponding infrastructure.


Fable 5 Returns, Claude Hits the Lab, OpenAI Bids Washington | Weekly Digest

PLUS HOT AI Tools & Tutorials
On June 30, the US Department of Commerce lifted export controls on Fable 5 and Mythos 5 — ending 18 days offline. On the same day, Anthropic launched Claude Sonnet 5 at $2/$10 per million tokens and Claude Science, a research workbench with 60+ scientific databases. On July 2, OpenAI proposed giving the US government a 5% equity stake worth $42.6 billi…
Daniil Andreev and Creators AI5 LIKES1 RESTACKS



AI Search
Jul 12

GPT 5.6, Grok 4.5, GPT Live, LingBot World 2, Seedream 5, Muse Spark: AI NEWS

Welcome to the AI Search newsletter. Here are the top highlights in AI this week.
Robbyant’s LingBot-World 2.0 is an open world model for exploring persistent, interactive environments in real time. It targets 720p at 60 fps with sub-second control latency, supports collaborative steering and event-driven interactions, and points toward robot simulation beyond short video clips.
AI Search

Epoch AI
Jun 24

What we learned from 1,604 Chinese AI job postings

Inferring Chinese AI labs’ strategies from their job descriptions
This post is part of Epoch AI’s Gradient Updates newsletter, which shares more opinionated or informal takes on big questions in AI progress. These posts solely represent the views of the authors, and do not necessarily reflect the views of Epoch AI as a whole.
Cheryl Wu, JS Denain, and Anson Ho56 LIKES9 RESTACKS
Jonathan Looi's avatar
Jonathan Looi
Super interesting! Great work!!!
mark ye's avatar
mark ye
Maybe the story of Beijing's demise has been greatly exaggerated




The Government Is Choosing AI Models. Who Chooses Their Values?

The public deserves a say over the values of government-procured AIs.
Kevin Frazier and Andrew Reddie — July 10, 2026
AI Frontiers18 LIKES3 RESTACKS
Mike Schlottman's avatar
Mike Schlottman
Interesting proposal with the Goodhart's law admission. PRF has the same failure every compliance framework eventually hits: once a benchmark becomes the procurement gate, vendors train to the benchmark instead of the judgment it measures, the same reason control testing keeps finding environments built to pass the audit rather than be secure. The sealed hypotheticals are the right instinct; the real test is whether the commission can out-iterate labs optimizing against a known target.
Sara Eson's avatar
Sara Eson
The move from acuracy to
reasoning feels like the real
contribution here!
Accuracy tells us whether a conclusion is right.
Reasoning helps us understand why it was reached and in a democracy, that understanding is part of accountability.





The Epoch Brief - July 8, 2026

A board game AI can't master, a cyber-disclosure spike after Claude Mythos, GPT-4's record run atop the ECI, and what's missing from AI futurism discourse
Welcome back to the Epoch Brief! In this edition:
Elliot Stewart19 LIKES1 RESTACKS



Vobile Debuts AI-agent Integration for AI-Generated Song Detection

Rightsholders, music industry professionals can now detect AI-generated songs using natural language prompts in agents like ChatGPT, Claude, and Gemini.
Vobile, a worldwide leader in digital content protection and transaction services, today announced the launch of its AI Song Detector MCP (Model Context Protocol) Server, making its industry-leading AI song detection technology accessible through popular AI agents including ChatGPT, Claude, Gemini, Grok, GitHub Copilot, and others.
AI Music Newsletter4 LIKES

AI Moves Into PE's Products

How Implementation Intelligence is Transforming Portfolio Performance
Hi, I’m Lily. I created this PE edition of the AI Dispatch for our growing community of thousands of private equity leaders and portfolio company operators navigating AI implementation.
InstaLILY AI16 LIKES1 RESTACKS