/
Navigation
Chronicles
Browse all articles
Explore
Semantic exploration
Research
Entity momentum
Nexus
Correlations & relationships
Story Arc
Topic evolution
Drift Map
Semantic trajectory animation
Posts
Analysis & commentary
Pulse API
Tech news intelligence API
Browse
Entities
Companies, people, products, technologies
Domains
Browse by publication source
Detection
Concept Search
Semantic similarity search
High Impact Stories
Top coverage by position
Sentiment Analysis
Positive/negative coverage
Anomaly Detection
Unusual coverage patterns
Analysis
Rivalry Report
Compare two entities head-to-head
Semantic Pivots
Narrative discontinuities
Crisis Response
Event recovery patterns
Connected
Search: /
Command: ⌘K
Embeddings: large
TEXXR

Chronicles

The story behind the story

← → days · ↑ ↓ browse · Enter similar · o open

A look at the privacy concerns raised by OpenAI's GPT-3, Google's LaMDA, Meta's OPT-175B, and other large language models trained on troves of personal data

Melissa Heikkilä / MIT Technology Review : Tweets: @garymarcus , @eileenguo , @zcobb , and @hypervisible Tweets: Gary Marcus / @garymarcus : LLMs are an incorrigible mix of misinformation and privacy invasion, yielding an untraceable stew of half-truth. great article by @Melissahei @techreview https://twitter.com/... Eileen Guo / @eileenguo : Among the other impt (and sometimes funny) points this story raises, it also highlights for me the real difference that privacy law makes. https://twitter.com/... @zcobb : Speaking of problems that are “only going to get worse over time” without a massive shift in ethics and resources ... the more we rely on Large Language Models and the systems that use them, the more they will be hacked for malicious purposes. https://twitter.com/... @hypervisible : “If you've posted anything even remotely personal in English on the internet, chances are your data might be part of some of the world's most popular LLMs.” “...the problem is only going to get worse and worse over time.” https://www.technologyreview.com/ ...

MIT Technology Review Melissa Heikkilä

Discussion

  • @garymarcus Gary Marcus on x
    LLMs are an incorrigible mix of misinformation and privacy invasion, yielding an untraceable stew of half-truth. great article by @Melissahei @techreview https://twitter.com/...
  • @eileenguo Eileen Guo on x
    Among the other impt (and sometimes funny) points this story raises, it also highlights for me the real difference that privacy law makes. https://twitter.com/...
  • @zcobb @zcobb on x
    Speaking of problems that are “only going to get worse over time” without a massive shift in ethics and resources ... the more we rely on Large Language Models and the systems that use them, the more they will be hacked for malicious purposes. https://twitter.com/...
  • @hypervisible @hypervisible on x
    “If you've posted anything even remotely personal in English on the internet, chances are your data might be part of some of the world's most popular LLMs.” “...the problem is only going to get worse and worse over time.” https://www.technologyreview.com/ ...