🗣️ Post 1: When you're asking AI chatbots for answers, they're data-mining you

As posted by: rntn  |  🔥 Points: 157

🔗 https://www.theregister.com/2025/08/18/opinion_column_ai_surveillance/

💬 Summary

Opinion Recently, OpenAI ChatGPT users were shocked – shocked, I tell you! – to discover that their searches were appearing in Google search. You morons! What do you think AI chatbots are doing? Doing all your homework for free or a mere $20 a month? I think not! When you ask an AI chatbot for an answer, whether it's about the role of tariffs in decreasing prices (spoiler: tariffs increase them,); whether your girlfriend is really that into you; or, my particular favorite, "How to Use a Microwave Without Summoning Satan," OpenAI records your questions. And, until recently, Google kept the records for anyone who is search savvy to find them. It's not like OpenAI didn't tell you that if...

🗣️ Post 2: Show HN: We started building an AI dev tool but it turned into a Sims-style game

As posted by: maxraven  |  🔥 Points: 123

🔗 https://www.youtube.com/watch?v=sRPnX_f2V_c

💬 Summary

Hi HN! We’re Max and Peyton from The Interface (https://www.theinterface.com/).

We started out building an AI agent dev tool, but somewhere along the way it turned into Sims for AI agents.

Demo video: https://www.youtube.com/watch?v=sRPnX_f2V_c.

The original idea was simple: make it easy to create AI agents. We started with Jupyter Notebooks, where each cell could be callable by MCP—so agents could turn them into tools for themselves. It worked well enough that the system became self-improving, churning out content, and acting like a co-pilot that helped you build new agents.

But when we stepped back, what we had was these endless walls of text. And even though it worked, honestly, it was just boring. We were also convinced that it would be swallowed up by the next model’s capabilities. We wanted to build something else—something that made AI less of a black box and more engaging. Why type into a chat box all day if you could look your agents in the face, see their confusion, and watch when and how they interact?

Both of us grew up on simulation games—RollerCoaster Tycoon 3, Age of Empires, SimCity—so we started experimenting with running LLM agents inside a 3D world. At first it was pure curiosity, but right away, watching agents interact in real time was much more interesting than anything we’d done before.

The very first version was small: a single Unity room, an MCP server, and a chat box. Even getting two agents to take turns took weeks. Every run surfaced quirks—agents refusing to talk at all, or only “speaking” by dancing or pulling facial expressions to show emotion. That unpredictability kept us building.

Now it’s a desktop app (Tauri + Unity via WebGL) where humans and agents share 3D tile-based rooms. Agents receive structured observations every tick and can take actions that change the world. You can edit the rules between runs—prompts, decision logic, even how they see chat history—without rebuilding.

On the technical side, we built a Unity bridge with MCP and multi-provider routing via LiteLLM, with local model support via Mistral.rs coming next. All system prompts are editable, so you can directly experiment with coordination strategies—tuning how “chatty” agents are versus how much they move or manipulate the environment.

We then added a tilemap editor so you can design custom rooms, set tile-based events with conditions and actions, and turn them into puzzles or hazards. There’s community sharing built in, so you can post rooms you make.

Watching agents collude or negotiate through falling tiles, teleports, landmines, fire, “win” and “lose” tiles, and tool calls for things like lethal fires or disco floors is a much more fun way to spend our days.

Under the hood, Unity’s ECS drives a whole state machine and event system. And because humans and AI share the same space in real time, every negotiation, success, or failure also becomes useful multi-agent, multimodal data for post-training or world models.

Our early users are already using it for prompt-injection testing, social engineering scenarios, cooperative games, and model comparisons. The bigger vision is to build an open-ended, AI-native sim-game where you can build and interact with anything or anyone. You can design puzzles, levels, and environments, have agents compete or collaborate, set up games, or even replay your favorite TV shows.

The fun part is that no two interactions are ever the same. Everything is emergent, not hard-coded, so the same level played six times will play out differently each time.

The plan is to keep expanding—bigger rooms, more in-world tools for agents, and then multiplayer hosting. It’s live now, no waitlist. Free to play. You can bring your own API keys, or start with $10 in credits and run agents right away: www.TheInterface.com.

We’d love feedback on scenarios worth testing and what to build next. Tell us the weird stuff you’d throw at this—we’ll be in the comments.

🗣️ Post 3: What My Daughter Told ChatGPT Before She Took Her Life

As posted by: someothherguyy  |  🔥 Points: 29

🔗 https://www.nytimes.com/2025/08/18/opinion/chat-gpt-mental-health-suicide.html

💬 Summary

Sophie’s Google searches suggest that she was obsessed with autokabalesis, which means jumping off a high place. Autodefenestration, jumping out a window, is a subset of autokabalesis, I guess, but that’s not what she wanted to do. My daughter wanted a bridge, or a mountain. Which is weird. She’d climbed Mount Kilimanjaro just months before as part of what she called a “micro-retirement” from her job as a public health policy analyst, her joy at reaching the summit absolutely palpable in the photos. There are crooked wooden signs at Uhuru Peak that say “Africa’s highest point” and “World’s highest free-standing mountain” and one underneath that says something about it being one of the world’s largest volcanoes, but I can’t read...

🗣️ Post 4: Show HN: Chroma Cloud – serverless search database for AI

As posted by: jeffchuber  |  🔥 Points: 14

🔗 https://trychroma.com/cloud

💬 Summary

Hey HN - I’m Jeff, co-founder of Chroma.

In December of 2022, I was scrolling Twitter in the wee-hours of the morning holding my then-newborn daughter. ChatGPT had launched, and we were all figuring out what this technology was and how to make it useful. Developers were using retrieval to bring their data to the models - and so I DM’d every person who had tweeted about “embeddings” in the entire month of December. (it was only 120 people!) I saw then how AI was going to need to search to all the world’s information to build useful and reliable applications.

Anton Troynikov and I started Chroma with the beliefs that:

1. AI-based systems were way too difficult to productionize

2. Latent space was incredibly important to improving AI-based systems (no one understood this at the time)

On Valentines Day 2023, we launched first version of Chroma and it immediately took off. Chroma made retrieval just work. Chroma is now a large open-source project with 21k+ stars and 5M monthly downloads, used at companies like Apple, Amazon, Salesforce, and Microsoft.

Today we’re excited to launch Chroma Cloud - our fully-managed offering backed by an Apache 2.0 serverless database called Chroma Distributed. Chroma Distributed is written in Rust and uses object-storage for extreme scalability and reliability. Chroma Cloud is fast and cheap. Leading AI companies such as Factory, Weights & Biases, Propel, and Foam already use Chroma Cloud in production to power their agents. It brings the “it just works” developer experience developers have come to know Chroma for - to the Cloud.

Try it out and let me know what you think!

— Jeff

🗣️ Post 5: I talked to Sam Altman about the GPT-5 launch fiasco

As posted by: eagleislandsong  |  🔥 Points: 9

🔗 https://www.theverge.com/command-line-newsletter/759897/sam-altman-chatgpt-openai-social-media-google-chrome-interview

💬 Summary

Posts from this author will be added to your daily email digest and your homepage feed. On Thursday, I had dinner with Sam Altman, a few other OpenAI executives, and a small group of reporters in San Francisco. Altman answered our questions for hours. No topic was off limits, and everything, with the exception of what was said over dessert, was on the record. It’s uncommon to have such an extended, wide-ranging interview with a major tech CEO over a meal. But there’s nothing common about the situation Altman finds himself in. ChatGPT has quickly become one of the most widely used, influential products on earth. Now, Altman is plotting an aggressive expansion into consumer hardware, brain-computer interfaces, and social...

🎯 Final Takeaways

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