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- 🤖 AI Employees Demand “Right to Warn”
🤖 AI Employees Demand “Right to Warn”
PLUS: Amazon’s “Project P.I.” Product Scanner, Former OpenAI Researcher: AGI in 2027?!
James Roesser
June 06, 2024
Welcome back AI enthusiasts!
In today’s AI Report:
🚨AI Employees Demand “Right to Warn”
📦Amazon’s “Project P.I.” Product Scanner
📊Former OpenAI Researcher: AGI in 2027?!
🛠5 Trending Tools
💰Venture Capital Updates
💼Who’s Hiring?
Read Time: 3 minutes
🗞RECENT NEWS
AI SAFETY
🚨AI Employees Demand “Right to Warn”
Image Source: Canva AI Image Generator
Employees from frontier AI companies published an open letter urging AI companies to develop whistleblower channels so that employees can raise concerns about AI developments without fear of retaliation.
Key Details:
Current and former employees at Anthropic, OpenAI, and Google DeepMind curated the “Right to Warn” petition.
The open letter was also endorsed by AI visionaries Yoshua Bengio, Geoffrey Hinton, and Stuart Russell.
The “Right to Warn” petition pushes AI companies to agree to several principles:
Eliminating Non-Disparagement Clauses Concerning AI Risks
Establishing and Facilitating Anonymous Channels to Raise AI Concerns
Expanding Whistleblower Protections and Anti-Retaliation Measures
Numerous researchers have posted threads on X about their experience at frontier AI companies.
Notably, former OpenAI researcher Daniel Kokotajlo stressed that OpenAI should “be held accountable to their commitments on safety, security, governance, and ethics.”
Why It’s Important:
The public is increasingly concerned about the potential dangers of AI advancements. If AI companies demonstrated a commitment to safety and ethical development through their employees, it could help build public trust.
A “Right to Warn” petition would hold AI companies accountable for their development practices by allowing researchers to speak up without fearing retaliation.
🩺 PULSE CHECK
Who’s ultimately responsible for ensuring safe and ethical AI development?Vote Below to View Live Results |
AMAZON
📦Amazon’s “Project P.I.” Product Scanner
Image Source: Amazon Prime Delivery Route/Flickr
Amazon unveiled “Project P.I.,” an AI-enabled framework that uses detective-like tools to scan items for defects.
Key Details:
“Project P.I.,” for “Private Investigator,” leverages GenAI and computer vision to detect damaged or incorrect items before shipping them to reduce returns.
The AI-enabled framework is already in place across the company’s North American fulfillment centers, with plans to expand globally throughout the year.
In parallel, Amazon teams are using a GenAI system with a Multi-Modal LLM (MLLM) to “investigate the root cause of negative customer experience.”
A MLLM is a Large Language Model (LLM) that can understand and generate information from multiple formats like text, code, images, video, and audio.
Why It’s Important:
“Project P.I.” catches defects before shipping, allowing Amazon to ensure customers receive pristine products, leading to fewer returns.
Fewer returns translate to less money spent on processing and shipping unwanted items, as well as more satisfied customers.
AI RESEARCH
📊Former OpenAI Researcher: AGI in 2027?!
Former OpenAI researcher Leopold Aschenbrenner published a series of essays detailing his views on Artificial General Intelligence (AGI).
The core of OpenAI’s research is built around achieving AGI, which OpenAI defines as a “highly autonomous system that outperforms humans at most economically valuable work.”
“AGI by 2027 is strikingly plausible,” said Aschenbrenner, predicting that AGI will outpace college graduates by 2025.
He also believes AI labs can train general-purpose language models within a minute, stating: “To put this into perspective, suppose OpenAI’s GPT-4 training took three months. In 2027, a leading AI lab can train a GPT-4 level AI model within a minute.”
Aschenbrenner claims the “smartest people” in the AI industry have converged on a perspective he calls “AGI realism,” which is based on three foundational principles:
Superintelligence is a Matter of National Security
America Must Lead
We Can’t Screw It Up
🛠TRENDING TOOLS
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🔮Browse our always Up-To-Date AI Tools Database.
💰VENTURE CAPITAL UPDATES
💼WHO’S HIRING?
Symphony (Belfast, UK): Apprentice Natural Language Processing (NLP) Developer, Summer 2024
HP (Austin, TX): Machine Learning (ML) Intern, Summer 2024
Advanced Energy (Milpitas, CA): Electronics Engineer Intern, Fall 2024
IXL Learning (San Mateo, CA): Software Engineer, New Gard
Meta (Sunnyvale, CA): Applied AI Research Scientist, Reinforcement Learning
🤖PROMPT OF THE DAY
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Customer Support Issue = [Insert Here]📒FINAL NOTE
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