4 min read

When in Doubt, Veto It Out!

California Governor Vetoes AI Safety Bill & Study shows Devs Gaining Little From AI.
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Hello, AI Enthusiasts!

Newsom has pulled a classic politician move: he vetoed the safety bill.

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AI BILLS

California Governor Vetoes AI Safety Bill

California Governor Gavin Newsom vetoed the Safe and Secure Innovation for Frontier Artificial Intelligence Models Act (SB 1047) due to concerns about the burdens it would place on AI companies and its broad application.

  • Newsom argued that the bill did not differentiate between high-risk AI systems and basic functions, which could lead to a false sense of security regarding AI technology's safety.
  • While supporting the need for safety measures, Newsom emphasized that any regulations should be informed by empirical analysis of AI systems and capabilities rather than strict blanket standards.
  • Senator Scott Wiener, the bill's author, expressed disappointment over the veto, highlighting the lack of binding restrictions on powerful AI technologies. Meanwhile, companies like OpenAI and Meta welcomed the veto, arguing it would prevent stifling innovation.
  • The bill faced opposition from notable figures including Nancy Pelosi and local officials, while it garnered support from high-profile individuals like Elon Musk and various unions.
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AI STUDIES

Study shows Devs Gaining Little From AI

A study from Uplevel found that AI coding assistants like GitHub Copilot do not significantly improve developer productivity as measured by pull request cycle time and throughput, contradicting anecdotal claims.

  • The same study revealed that the use of GitHub Copilot resulted in a 41% increase in bugs, highlighting potential drawbacks in code quality despite claims of efficiency.
  • The study also examined developer burnout, finding no improvement with the use of AI assistants. Interestingly, developers using Copilot spent less time working outside standard hours compared to those who did not use it.
  • Feedback from different companies varies; while some firms report no significant gains, others, like Innovative Solutions, claim substantial productivity increases—up to three times faster completion rates—when using coding assistants.
  • Developers have expressed difficulties in understanding and troubleshooting AI-generated code, often finding it easier to rewrite code from scratch than to debug it.
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