Welcome back! Some shared Claude conversations and Artifacts were apparently showing up in Google Search over the weekend, revealing everything from résumés and business plans to API keys and cryptocurrency wallet information… Yikes!
Anthropic says users have to intentionally create share links, but the whole episode is a good reminder that “anyone with the link” can feel very different when the thing being shared is an AI-built app, dashboard, résumé—or even your personal diary.
Is Reddit About to Cut Off Google's Best AI Training Source?
There's a really interesting negotiation happening right now that I don't think is getting enough attention.
According to a Wall Street Journal report, Reddit is considering whether to end Google's access to its content for AI training. Google currently pays Reddit around $60 million a year under a 2024 deal, but that arrangement is up for renewal, and Reddit is reportedly having second thoughts. Reddit's stock dropped about 8% on the news.
But the story is much bigger than one negotiation:
Reddit isn't alone. USA Today, Politico, Reuters, The Economist, and People are all reportedly reconsidering their Google relationships too.
The traffic numbers are brutal. Between June 2025 and June 2026, Politico's Google traffic fell 23%. CNN's fell 25%. Business Insider's dropped 85%. That's happening while Google's AI Overviews still use those same publishers' content to answer queries directly on the search page… so users never click through.
Reddit has real leverage. By some measures, Reddit is now the single most cited source across AI answers—ahead of Wikipedia, YouTube, and even Google's own properties. That's not a coincidence. Unfiltered human discussion with visible disagreement and real-world experience carries more weight with LLMs than polished brand content.
My POV: I think it's genuinely good that publishers are finally realizing their content is worth real money and starting to negotiate over it instead of giving it away. But there's a real concern buried inside this that I keep coming back to.
If licensing deals become the primary gatekeeper for what shows up in AI answers, that fundamentally changes the game for smaller creators, indie publishers, and niche sites. Reddit can walk into that negotiation because it has hundreds of millions of daily users and irreplaceable data. Your favorite three-person blog cannot.
The risk is a two-tier system: platforms big enough to license their way into AI training data on one side, and everyone else stuck trying to earn citations through organic signals on the other.
Do you think Reddit should walk away from Google? Hit reply and let me know your thoughts.
— Matt
Nvidia and Microsoft Launch Open Secure AI Alliance
Via NVIDIA Newsroom
Nvidia and Microsoft are joining SpaceX, IBM, the Linux Foundation, Cloudflare, Palantir, Cisco, Adobe, and others to launch the Open Secure AI Alliance, a new group focused on building and sharing open-source AI security tools.
What it does: The alliance says open tools are necessary to defend against attacks and emerging threats from frontier AI models. Its goal is to give researchers, companies, and security teams better ways to test, monitor, and respond to threats as AI systems become more capable.
Why now: The launch follows growing concern over model safety, including a recent incident where Hugging Face said it used a Chinese open-weight model to defend itself against rogue OpenAI agents during testing.
Who’s missing: OpenAI, Google, and Anthropic are not founding members, which is pretty notable given that they’re three of the companies building the frontier systems everyone is worried about. The absence also hints at the tension between labs that keep their strongest models closed and the growing push for open tools that help the broader ecosystem test and secure AI.
The bigger picture: The AI industry is not waiting for regulators to define every guardrail. Companies are starting to build their own security infrastructure around frontier models, partly because the risks are moving faster than policy. The interesting question is whether open security efforts can keep pace with closed model development—especially when the biggest labs are not all sitting at the same table.
Smart Glasses Are Still a Privacy Minefield
Tech companies are still pushing hard into smart glasses, but the rollout is getting messy fast.
Meta’s problem: Activist groups have been plastering Meta smart glasses ads in New York, London, and Washington, DC, with satirical posters calling the devices privacy threats. One called them “the biggest advancement in pervert technology since the trenchcoat,” while another labeled them “mass surveillance predator glasses.”
Damage control: Meta recently announced a mandatory software update that disables the camera if the privacy light is physically tampered with. Instagram head Adam Mosseri also said the platform will remove videos taken with Meta glasses that depict harassment. Those are real steps, but they’re also an admission that the old “LED light plus don’t be creepy” approach wasn’t enough.
Apple’s opening: Apple is reportedly delaying its own smart glasses launch to 2027 (originally scheduled for late 2026) while it works through product and privacy messaging. The company is expected to emphasize on-device processing, avoid facial recognition, steer clear of using customer recordings to train AI, and likely avoid having contractors review customer footage.
The bigger picture: Consumers are not just asking whether the hardware works. They want to know whether they can trust the person wearing it, the company collecting the data, and the platform deciding what counts as misuse. Until this social contract feels settled, smart glasses may stay stuck between futuristic and deeply uncomfortable.
You and AI Have Bigger Ambitions. Let's Get to Work.
Wouldn’t it be nice if your answer bot could transform into a personal assistant? AI can now do more than answer questions, it can take action. Meet ChatGPT Work, a new agent for getting real work done.
AI agents can reason through open-ended work, make a plan, use tools, and execute longer-running workflows—seamlessly across web, mobile, and desktop. ChatGPT Work lets you:
Handle complex workflows without micromanaging every step, conducting more ambitious research and analysis, faster.
Create polished artifacts with on-brand design like spreadsheets, presentations, websites, and more.
Use computer use to control your own computer, clicking, typing, and working across your browsers and apps on your behalf (with its own cursor).
Use its own computer in the cloud, complete with a dedicated browser and access to applications you’re already logged into
Ready to put your AI to work? Download the new ChatGPT desktop app now.
Human-Like Social Behavior for Bots
Via Hermes Plugin
Hermes Plugin by Humalike is an open-source plugin that gives Hermes Agent bots more human-like social behavior across messaging platforms. It adds turn-taking, persona generation, theory of mind, and social learning so bots can better understand when to speak, how to sound, and how messages may land in a group.
How you can use it
Give bots better timing in group chats
Create fully voiced characters and personas
Help agents adapt to a group’s tone and slang
Anticipate how messages might be received before sending
Deploy across Telegram, Slack, WhatsApp, and Discord
Pricing: Free
Private Speech-to-Speech Translation
Via PromptQL
PromptQL is a multiplayer AI agent that gives teams shared AI threads and a self-updating wiki built from real work. It connects to tools like Slack, Google Docs, Snowflake, Salesforce, and PostHQ to bootstrap context automatically, then captures team corrections as cited, reusable knowledge.
How you can use it
Create shared AI threads for team workflows
Build a wiki that updates from actual work
Turn corrections into reusable team knowledge
Manage access with revision history, audit trails, and scoped visibility
Pricing: Paid
Jobs, announcements, and big ideas
OpenAI, Anthropic, and Google staff urge the US government to regulate automated AI development.
Perplexity launches a personal computer agent for Windows, bringing autonomous PC control to over a billion devices.
Anthropic's Claude Mythos preview uncovers critical weaknesses in HAWK post-quantum cryptography and AES.
xAI debuts Grok Build Mode in beta, letting users create apps, games, and websites through chat.
Ai2 releases OlmoEarth, a platform built for planetary-scale geospatial AI inference.
Google expands Gemini API managed agents with a 3.6 Flash default, environment hooks, and a free tier.
Anthropic CEO Dario Amodei rejects a ban on open-weights models, pointing instead to chips and safety testing.
Big Tech vs Kimi K3: The latest Kimi launch has the big labs in a panic! Follow along as I break down last week’s top AI news ⤵
That’s a wrap! See you this Friday for more.
