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CS Academics4 min read610 words

🤖 AI Coding Agent - AlphaEvolve

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🤖 AI Coding Agent - AlphaEvolve

This article discusses AlphaEvolve, an AI coding agent developed by Google DeepMind, designed to discover new algorithms for mathematical and computational problems. It combines large language models with automated evaluators.

Key Points:

• Combines the creativity of large language models with automated evaluators.

• Discovers impactful new algorithms for mathematics and computing.

• Improved data center efficiency, recovering 0.7% of fleet-wide compute.

🔗 Resources:

Joaquim Kelo ↗ - AlphaEvolve developer
Pushmeet Kohli ↗ - AlphaEvolve developer
Google DeepMind ↗ - Developer of AlphaEvolve

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🤖 AI and Algorithmic Discovery - Ethical Considerations

This article discusses the ethical implications of using AI, such as AlphaEvolve, for algorithmic discovery, highlighting potential stagnation and corruption within organizations. The author explicitly states this is not an endorsement of any companies mentioned.

Key Points:

• Highlights potential for stagnation in organizations.

• Raises concerns about corruption within organizations.

• Does not endorse any mentioned companies.

🔗 Resources:

C4 Computation ↗ - Source of ethical concerns

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💡 Job Search - Academia in CS & Psychology

This article describes a researcher's job search in Computer Science and Psychology, focusing on programs in English or German-speaking countries. The author seeks to resolve a "two-body problem" for their family.

Key Points:

• Seeking job opportunities in Computer Science and Psychology.

• Targeting English or German-speaking countries.

• Open to discussions with relevant programs.

🔗 Resources:

IEEE Signal Processing Society ↗ - Conference mentioned
Adam Bates ↗ - Researcher seeking new opportunities

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💡 Transparency in Academia - Family Needs

This article provides context to a previous post about a job search, emphasizing transparency regarding family needs within academia. The author hopes to remain at UIUC but acknowledges uncertainties in US academia.

Key Points:

• Transparency about family needs in US academia.

• Uncertainty regarding future employment in US academia.

• Full transparency with students and colleagues.


💡 Surveillance - Ethical and Legal Concerns

This article denounces surveillance practices as cowardly, corrupting, and illegal, regardless of intent. It addresses hacking into social media, personal websites, and phones.

Key Points:

• Surveillance is condemned as unethical and illegal.

• Critiques hacking into social media, websites, and phones.

• Highlights violations of civil liberties.

🔗 Resources:

C4 Computation ↗ - Source of ethical concerns

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💡 Technology Regulation - Focus on Use Cases

This article advocates for regulating technology's "use cases" rather than its development, citing examples such as smartphones and 3D printing.

Key Points:

• Advocates for regulating technology use, not development.

• Highlights benefits of readily available information and tools.

🔗 Resources:

C4 Computation ↗ - Source of regulatory ideas

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💡 Funding - Ethical Considerations

This article outlines the author's refusal of funding with ideological or personal choice tethers, or those involving surveillance or civil liberties violations.

Key Points:

• Rejects funding with ideological or personal tethers.

• Rejects funding involving surveillance or civil liberties violations.

🔗 Resources:

C4 Computation ↗ - Source of funding concerns

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💡 Gender Quotas in Science - Personal Perspective

This article expresses opposition to gender quotas in scientific studies from a woman's perspective, emphasizing individual merit over affirmative action.

Key Points:

• Objects to gender quotas in scientific studies.

• Highlights individual merit over affirmative action.

🔗 Resources:

Joaquim Kelo ↗ - Contextual source
Sarah Knafo ↗ - Source of perspective on gender quotas

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