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# Robots Run Wild, Massive Crime Data Leak and AI Replaces Models - David Benson

David Benson proves today's most absurd tech headlines are actually true. Delivery robots crash into shelters while AI steals jobs. Can you separate bizarre facts from plausible fiction?

- **Speakers:** [Chris Heilmann](https://www.wearedevelopers.com/@chris-heilmann), [Daniel Cranney](https://www.wearedevelopers.com/@daniel-cranney), David Benson
- **Event:** WeAreDevelopers LIVE
- **Published:** March 31, 2026
- **Duration:** 4:29
- **URL:** https://www.wearedevelopers.com/videos/1849-robots-run-wild-massive-crime-data-leak-and-ai-replaces-models-david-benson

## Summary

In a lighthearted tech-themed segment of "Fake or News," host David Benson challenges panelists to distinguish between actual headlines and fabricated stories. The trivia game effectively highlights the increasingly blurred lines between reality and fiction in the modern technology landscape, particularly across artificial intelligence, cybersecurity, and robotics.

The group navigates a bizarre array of news items, revealing just how absurd tech reality has become. True stories shock the panelists, including a massive Crime Stoppers data leak, delivery robots crashing through bus shelters, and the unsettling reality of human models applying to be the "faces" of AI scams. Deepening the panel's AI anxiety, they correctly identify that Meta has developed a model capable of predicting how the human brain reacts to images, sound, and speech, while noting that OpenAI's rumored erotic chatbots have reportedly been put on hold indefinitely.

A major takeaway from the exercise is how easily technical jargon can be manipulated to create highly plausible-sounding cybersecurity threats. Benson successfully tricks the panel with fake but realistic alerts, such as a "TLS 1.3 implementation flaw in OpenSSL" discovered via differential fuzzing, and a "zero-day in popular Node.js package manager" causing dependency confusion attacks. Ultimately, the segment underscores a humorous but eye-opening insight: in today's tech ecosystem—where AI crosses into dystopian territory and autonomous vehicles struggle with basic reliability—the most outlandish headlines are frequently the ones that turn out to be entirely true.

**Keywords:** crime stoppers data leak, ai scam face models, automated delivery robot accidents, twitch roulette platform, openai ai developments, meta brain reaction ai, tls 1.3 openssl vulnerabilities, differential fuzzing techniques, node.js zero-day flaws, dependency confusion attacks, tesla autonomous driving features, cybersecurity threat identification, technology news misinformation, artificial intelligence forecasting

## Chapters

1. **Massive data breaches affecting anonymous crime tip platforms** (00:00) — A massive data breach exposes millions of anonymous crime tips to unauthorized access.
1. **Autonomous robot collisions and AI scams using models** (00:36) — AI scams utilize models for frequent video calls while autonomous delivery robots cause unexpected property damage.
1. **Managing medical emergencies complicated by unexploded military ordnance** (01:10) — Medical professionals and bomb disposal experts collaborate to safely handle a patient's unexploded ammunition.
1. **Discovering obscure livestreamers and forecasting natural disasters** (01:56) — Platforms for discovering obscure livestreamers contrast with discussions on AI predicting natural disasters.
1. **Chatbot content restrictions and advancements in plastic recycling** (02:39) — Conversational agent restrictions emerge alongside fabricated breakthroughs in recycling plastic into durable building materials.
1. **Predictive brain models and simulated cryptographic implementation flaws** (03:10) — Predictive models analyze brain reactions to stimuli while researchers uncover fabricated cryptographic vulnerabilities.
1. **Autonomous vehicle charging capabilities and package manager exploits** (03:42) — Fabricated reports highlight theoretical autonomous vehicle charging features and package manager dependency confusion exploits.

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