/
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
Handles
Browse by social media handle
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

Lt. Gen. Jack Shanahan, head of the Joint AI Center for the DOD, talks integrating AI into its weapons systems, building predictive maintenance tools, and more

but he does want artificial intelligence to occupy a central role in warfighting. https://www.wired.com/... @cnastech : “Let's say a human being is correct 99.99 percent of the time. Is it fine for the software to be the same, or does it need to be an order of magnitude better?” asks @MartijnRasser in @WIRED. https://www.wired.com/... @wired : “Humans make mistakes in combat every single day. Bad things happen. It's chaotic. Emotions run high ... I am in the camp that says we can do a lot to help reduce the potential for those mistakes with AI-enabled capabilities—never eliminate.” https://www.wired.com/... Cnas / @cnasdc : “There are risks that algorithms trained on historical data might face battlefield conditions that are different than the one it trained on.” - @mchorowitz tells @WIRED's @EliasGroll. Read more from their full conversation: https://www.wired.com/... Cnas / @cnasdc : “The ultimate question we have to ask ourselves is what level of accuracy is acceptable for software.” - @MartijnRasser tells @WIRED's @EliasGroll. Read more: https://www.wired.com/... Elias Groll / @eliasgroll : My report for @WIRED on the US military's plans for integrating AI into its warfighting plans. It's not so much killer robots as it's Waze for war. https://www.wired.com/... James Kraska / @jameskraska : Poor data sets make AI difficult in a military context (but poor data sets exist of course in human decision making and should not stop military applications - insisting on cosmic levels of pure data will kill AI) https://www.wired.com/... via @wired Frank Sauer / @drfranksauer : '[JAIC's Lt. Gen. Jack Shanahan] says he remains fundamentally opposed to what would be popularly thought of as “killer robots” and what he calls “an unsupervised independent self-targeting system making life-or-death decisions."' https://www.wired.com/... Nicholas Thompson / @nxthompson : “It's not a vision for killer robots deciding who lives and dies. It's more like Waze, but for war.” The Pentagon talks about its vision for AI. https://www.wired.com/...

Wired Elias Groll

Discussion

  • @wired @wired on x
    Lt. Gen. Jack Shanahan doesn't want killer robots—but he does want artificial intelligence to occupy a central role in warfighting. https://www.wired.com/...
  • @cnastech @cnastech on x
    “Let's say a human being is correct 99.99 percent of the time. Is it fine for the software to be the same, or does it need to be an order of magnitude better?” asks @MartijnRasser in @WIRED. https://www.wired.com/...
  • @wired @wired on x
    “Humans make mistakes in combat every single day. Bad things happen. It's chaotic. Emotions run high ... I am in the camp that says we can do a lot to help reduce the potential for those mistakes with AI-enabled capabilities—never eliminate.” https://www.wired.com/...
  • @cnasdc Cnas on x
    “There are risks that algorithms trained on historical data might face battlefield conditions that are different than the one it trained on.” - @mchorowitz tells @WIRED's @EliasGroll. Read more from their full conversation: https://www.wired.com/...
  • @cnasdc Cnas on x
    “The ultimate question we have to ask ourselves is what level of accuracy is acceptable for software.” - @MartijnRasser tells @WIRED's @EliasGroll. Read more: https://www.wired.com/...
  • @eliasgroll Elias Groll on x
    My report for @WIRED on the US military's plans for integrating AI into its warfighting plans. It's not so much killer robots as it's Waze for war. https://www.wired.com/...
  • @jameskraska James Kraska on x
    Poor data sets make AI difficult in a military context (but poor data sets exist of course in human decision making and should not stop military applications - insisting on cosmic levels of pure data will kill AI) https://www.wired.com/... via @wired
  • @drfranksauer Frank Sauer on x
    '[JAIC's Lt. Gen. Jack Shanahan] says he remains fundamentally opposed to what would be popularly thought of as “killer robots” and what he calls “an unsupervised independent self-targeting system making life-or-death decisions."' https://www.wired.com/...
  • @nxthompson Nicholas Thompson on x
    “It's not a vision for killer robots deciding who lives and dies. It's more like Waze, but for war.” The Pentagon talks about its vision for AI. https://www.wired.com/...