Hacker News - Newest: "AI"

Sex, AI, and the Apocalypse

Anon84 — Thu, 17 Sep 2026 21:15:52 +0000

Article URL: https://www.iankduncan.com/personal/2026-09-16-sex-ai-and-the-apocalypse/

Comments URL: https://news.ycombinator.com/item?id=49746654

Points: 124

# Comments: 102

Bend – A language that blocks AI mistakes via proof, on CPU and GPU

nicolas-siplis — Thu, 17 Sep 2026 20:36:13 +0000

Article URL: https://bend-lang.com/

Comments URL: https://news.ycombinator.com/item?id=49746163

Points: 237

# Comments: 126

Show HN: Share your AI Setup, Learn from others

steveybrown — Thu, 17 Sep 2026 13:01:44 +0000

I kept seeing engineers share what they were building with AI; however, I was always more curious about how they worked. Which agents did they use? What skills and tools had stuck or been thrown out the window? How did they manage longer-running tasks? So I built this with the hope we could have a dedicated space to share and be open about our setups.

Comments URL: https://news.ycombinator.com/item?id=49740105

Points: 173

# Comments: 88

AI safety is mostly a sex cult

Tomte — Thu, 17 Sep 2026 08:36:37 +0000

Article URL: https://skywriter.blue/@segyges.bsky.social/3mvom4b4dn22q

Comments URL: https://news.ycombinator.com/item?id=49737985

Points: 267

# Comments: 222

OpenSpec – A lightweight and configurable AI spec framework

etoxin — Wed, 16 Sep 2026 23:06:39 +0000

Article URL: https://openspec.dev/

Comments URL: https://news.ycombinator.com/item?id=49734264

Points: 189

# Comments: 95

A coffee shop owner used AI to make a menu poster. Then came the angry DMs

TMWNN — Wed, 16 Sep 2026 18:59:42 +0000

Article URL: https://www.businessinsider.com/coffee-shop-owner-ai-menu-backlash-2026-9

Comments URL: https://news.ycombinator.com/item?id=49731395

Points: 80

# Comments: 308

Show HN: How Stale Is Your AI? Release age and training cutoff for 20 models

joozio — Wed, 16 Sep 2026 13:01:52 +0000

Article URL: https://stale.jock.pl/

Comments URL: https://news.ycombinator.com/item?id=49726343

Points: 78

# Comments: 45

Mistral X Mozilla: Private, Multilingual AI Browsing

vertigoruntime — Wed, 16 Sep 2026 08:08:57 +0000

Article URL: https://mistral.ai/news/mistral-x-mozilla/

Comments URL: https://news.ycombinator.com/item?id=49723408

Points: 580

# Comments: 204

Stay discoverable in search while disallowing AI training

djfergus — Wed, 16 Sep 2026 02:25:18 +0000

Article URL: https://blog.cloudflare.com/accountable-mixed-use-ai-crawlers/

Comments URL: https://news.ycombinator.com/item?id=49721435

Points: 86

# Comments: 49

There's a 100% Chance AI Agents Are Ruining the Internet

pavel_lishin — Tue, 15 Sep 2026 16:38:45 +0000

Article URL: https://www.404media.co/theres-a-100-chance-ai-agents-are-already-ruining-the-internet/

Comments URL: https://news.ycombinator.com/item?id=49715113

Points: 230

# Comments: 168

Cartesian – AI 3D Modeling for Design

eustoria — Tue, 15 Sep 2026 15:26:45 +0000

Article URL: https://www.formas.ai/cartesian

Comments URL: https://news.ycombinator.com/item?id=49713999

Points: 115

# Comments: 80

Show HN: Pizza Bot – An inbox for AI agents that work in the background

jd_ — Tue, 15 Sep 2026 15:20:26 +0000

Hi HN - long-time lurker (since 2012!), first time poster.

Pizza Bot is a self-hosted desktop app for Mac, Windows, and Linux that runs AI agents in the background and exposes them through an email-like UI. Finished work shows up in Unread, and anything waiting on your approval shows up in Action. It's Apache 2.0-licensed, there's no signup and no telemetry, and you bring your own model provider: Anthropic, Amazon Bedrock, Google Gemini, OpenAI, OpenRouter, or a local model through Ollama. There are builds on the releases page, or you can run it from source.

Pizza Bot started as an internal passion project I worked on with a small team at Amazon.

The whole thing came out of my frustration at having to manually log CRM activities through a browser form. I built a simple REST API called "JoeBot" that connected to my authenticated browser session over CDP and filled out the form for me using Playwright. Then I hacked up a quick Obsidian plugin so I could trigger it from my local notes (no AI and no MCP servers involved).

This caught on quickly. My fellow AWS Solutions Architect Igor Fil joined up with me, and we rebranded the project as "Pizza Bot," named after Amazon's two-pizza teams. We started seeing what other automations we could build. We found a GraphQL API we could query and hacked up some "recipes" to pull data out of the CRM to help with meeting prep. That worked great, and it was right around the time MCP servers seemed to be taking off, so we decided to expose Pizza Bot as an MCP server instead, so it would be available to AI tools through natural language.

This was a decent solution for technical users, but the Account Managers who live inside our CRM system wanted something too. We decided to rebuild Pizza Bot as an Electron desktop app modeled after an email inbox, so it would be familiar to non-technical users and would run on both Mac and Windows. We also bundled internal MCP servers as OCI images and hosted them in Amazon ECR as an "addon marketplace" so users could install them with one click without having to set up Amazon developer tooling.

The project took off organically and expanded outside of AWS into the wider Amazon organization globally. More than 2,000 people ended up using it for meeting prep, email drafting, Slack summaries, CRM logging, prioritizing their day, and web research.

Once apps like Claude Cowork and Amazon's own Quick Desktop came out, we realized the real growth opportunity was outside of Amazon. Rather than try to rip out the Amazon-specific integrations, we rebuilt Pizza Bot once more as an open source project. We leaned on coding agents heavily, which is the only reason a team our size could pull off a full rewrite. I'm pleased to say it's finally public, and we're hoping to bring in community members and see where it goes. We'd like to do for knowledge workers what Claude Code and Codex have done for programmers.

A couple of things to know up front. Most of what made Pizza Bot useful on day one inside Amazon came from that internal catalog of skills and MCP servers for Amazon's own systems, and none of it could come out with the app. So it ships thinner than the version those 2,000 people used, and building that catalog back up for tools other people actually use is where we need the most help. It's also a community project and not an AWS service, so there's no support or SLA behind it. The Windows and Linux builds aren't signed yet either.

On the technical side, Pizza Bot is a server and a client. The desktop app bundles both, or you can point a client at a remote backend; personally, I self-host the server on my home network and reach it from my phone over Tailscale. The server owns the thread lifecycle and checkpoints state with DeepAgents and LangGraph, and clients rehydrate from it as needed, so you can disconnect mid-run and pick the thread back up from another client. Approval pauses outlive the session that created them and collect in an Action filter, so you can answer an hour later from a different device. The agent you talk to has a sandboxed QuickJS interpreter that can reach your filesystem only if you grant it a folder, but its main job is to delegate. Each subagent is a 1:1 mapping of a Skill, and an Activity bar shows that subagent and the tool calls it's making as it works. Memory is opt-in and stored as plain markdown files on your machine. Every tool call is explicit, including looking up a memory - we err on the side of transparency to reduce surprises. Tools come from MCP servers, and skills are ordinary SKILL.md files with a per-tool approval policy, so existing skills that don't require a code interpreter should still work.

What I'd most like to hear about is where the app itself gets in your way, the kind of problem you can't fix by writing a skill or an MCP server. I'm around today to answer questions!

Comments URL: https://news.ycombinator.com/item?id=49713894

Points: 59

# Comments: 33