BladeRunner.AI

Browser plug-in highlights AI-generated text directly on the page. Powered by computer scientists from the Berkeley AI Research Lab.

What is BladeRunner.AI?

BladeRunner.AI is a browser plug-in powered by computer scientists from the Berkeley AI Research Lab. It highlights AI-generated text directly on web pages, helping users distinguish between human and robot-generated content on the internet.

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Extension stats

By: https://bladerunner.ai

View on Chrome Web Store

Users: 292 ▲ 10

Rating: 1.33 (3)

Version: 0.2 (Last updated: 2023-07-14)

Creation date: 2023-01-13

Risk impact: Very low risk impact

Risk likelihood: Very low risk likelihood

Manifest version: 3

Permissions:

activeTab
scripting

Size: 14.64K

Email: he*****@bladerunner.ai

URLs: Website ,Privacy policy

Ranking

# 47597 ▲ 644

Other rankings

#1885 in Workflow & Planning ▲ 9 #300 in detect keyword 23

Other platforms

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Extension summary

Analyze keywords

** July 13 2023: The server was just upgraded, which means (1) it should not crash anymore, (2) it should be faster. Sorry for all the folks who experienced downtime. If it’s working for you, it would be great if you left a positive review since the only people leaving reviews are the people annoyed when it stops working. If everyone leaves negative reviews for free software, there’s no motivation to keep it going.**

The year is 2023 and robots have taken hold of the internet. Humans struggle to distinguish messages sent by their own species from those generated by the tools they created. Confused and manipulated by the unreasonable effectiveness of the large language models, the humans devise yet another tool to help them find robots in the wild. Its name is BLADERUNNER.AI.

In the age of AI, the constellation of digital experiences will collectively become a GAN, where bots are the generators (objective: fool humans into thinking that the AI is another human) and humans are the discriminator (objective: detect AI impostors). Organizations will be held to a higher standard of discriminator accuracy as shareholders, staff, and customers become increasingly wary of AI-generated content. Are these organizations prepared to reach this standard of accuracy? Is anyone? Will we all need our own night vision goggles for detecting AI in the new wild?