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AI
Rosser's Theorem via Turing Machines (2011)
Source:
scottaaronson.blog
Published at:
June 20 2024
Categories:
AI
Learning
Mathematics
Programming
Comments:
1
enjoyment of teaching
1
clarification on Rosser's theorem
1
seeking learning advice
- The article discusses Rosser's Theorem, a strengthening of G枚del's Incompleteness Theorem, and presents a proof using Turing machines.

- It explains the limitations of G枚del's original proof and introduces the concept of 蠅-consistency to address these issues, ultimately leading to Rosser's Theorem which avoids these complications.

- The author provides a Turing-machine-based proof for Rosser's Theorem, emphasizing its relevance and simplicity for computer science students, and discusses the implications for teaching computability theory.
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Unique3D: Image-to-3D Generation from a Single Image
Source:
github.com
Published at:
June 19 2024
Categories:
AI
Computer Vision
Comments:
1
improving quality
1
texture issues
1
usability concerns
- Unique3D is a tool for generating high-quality 3D meshes from a single image, developed by Kailu Wu and colleagues.

- The project offers various demos and supports multiple platforms, including Linux and Windows, with detailed setup instructions provided.

- Unique3D is sensitive to input image quality and orientation, and the repository is still under construction with plans for additional features and improvements.
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Dell building an AI factory with Nvidia
Source:
twitter.com
Published at:
June 19 2024
Categories:
AI
NVIDIA
Artificial Intelligence
Tech
Comments:
1
PR skepticism
1
Nvidia stock increase
1
Dell AI involvement
- Dell is collaborating with Nvidia to build an AI factory.

- The AI factory will support Grok, an AI initiative by xAI, associated with Elon Musk.

- The announcement was made by Michael Dell on social media.
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Safe Superintelligence Inc.
Source:
ssi.inc
Published at:
June 19 2024
Categories:
AI
Artificial Intelligence
OpenAI
Comments:
5
AI safety skepticism
5
AI potential dangers
4
Business model concerns
- Safe Superintelligence Inc. (SSI) is dedicated to developing safe superintelligence, viewing it as the most critical technical challenge of our time.

- The company focuses exclusively on SSI, ensuring safety and capabilities advance together, free from short-term commercial pressures.

- SSI operates from offices in Palo Alto and Tel Aviv, recruiting top engineers and researchers to achieve its singular mission.
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Perplexity Is a Bullshit Machine
Source:
www.wired.com
Published at:
June 19 2024
Categories:
AI
Cyber Security
Artificial Intelligence
Search
Comments:
1
distrust author
1
media panic
1
downplaying issues
- Perplexity, an AI-powered search startup, has been accused of scraping content from websites without permission and generating inaccurate summaries, sometimes fabricating information.

- Investigations by WIRED and developer Robb Knight revealed that Perplexity's chatbot often bypasses web standards like the Robots Exclusion Protocol to access restricted content, raising ethical and legal concerns.

- Despite claims of providing reliable, real-time answers, Perplexity's chatbot frequently produces misleading or false information, undermining its credibility and raising questions about its operational transparency.
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Most stocks hyped as winners from AI boom have fallen this year
Source:
www.ft.com
Published at:
June 19 2024
Categories:
AI
Investment
Finance
Comments:
3
positive experience
2
negative experience
2
recommendation
Summary Unavailable
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AI-Powered Conversion From Enzyme to React Testing Library
Source:
slack.engineering
Published at:
June 19 2024
Categories:
AI
Productivity
Frontend
React
Automation
Programming
Comments:
1
pragmatic approach
1
hybrid approach
1
AI inconsistency
- Slack transitioned from Enzyme to React Testing Library (RTL) due to Enzyme's lack of support for React 18, converting over 15,000 test cases.

- The conversion process involved a hybrid approach using Abstract Syntax Tree (AST) transformations and AI Large Language Models (LLMs), achieving an 80% success rate.

- The project highlighted the complexities of automated code conversion and the significant time savings achieved through AI integration, with a notable 22% reduction in developer time for test migrations.
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