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Robin Sloan

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// recent coverage 9 mentions

10:00
2026-08-24
ww2.kqed.org
artificial-intelligence

Could AI Transform How Science Gets Done? –with Jungwon Byun

Elicit co-founder Jungwon Byun discussed on the Dream Machines podcast how her company builds AI tools for scientific research, emphasizing reliable citations and evidence to counter hallucinations. B…

10:00
2026-08-10
ww2.kqed.org
artificial-intelligence

Language, Landscapes and Robot Minds with Annalee Newitz

In the first episode of KQED's Dream Machines podcast, hosts Alexis Madrigal and Robin Sloan interview author Annalee Newitz about San Francisco's recurring tech booms, the anthropomorphization of AI …

07:00
2026-08-03
robinsloan.com
artificial-intelligence

Dragoncatcher: You don't have to call them "labs"

Frontier AI companies DeepMind, OpenAI, and Anthropic have outgrown the 'lab' label and should be called companies, argues Robin Sloan in a blog post. Sloan notes that while the term evokes Bell Labs …

12:29
2026-07-29
ajwaxman.com
ai-tools

Software for One

Software engineer Alex Waxman built a suite of personalized apps for himself and his family, including a sleep app, fitness app, marathon planner, and jazz quiz, using a stack of Next.js, Vercel, Tail…

02:05
2026-06-25
macwright.com
artificial-intelligence

Accidental Anonymity

Tom MacWright argues that AI-generated resumes, portfolios, and outreach emails strip away the human connection and personal character that hiring managers and collaborators rely on. Drawing on 12 yea…

10:00
2026-06-17
robinsloan.com
large-language-models

Dragoncatcher: The secret of lightness

Robin Sloan argues that language models are fundamentally different from brains and that scaling laws alone may not lead to superintelligence, suggesting that smaller, more efficient models could achi…

00:00
2026-05-18
vickiboykis.com
large-language-models

Tagging my blog posts with BERTopic and LLMs

Vicki Boykis added tags to her static blog using BERTopic and LLMs including Claude Code and Deepseek, completing the project in 6-10 hours. She argues that LLMs excel at compression tasks like topic …

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