Anterior C.C.
@philasophy.bsky.social
2nd year PhD student | @Metacogmission on Twitter
Need synthetic data but don't want to use the API? I made an MCP specifically for small dataset curation with cli agents.
Tell the model what columns you want, the data you need generated, and how many rows. It includes a validation layer to make sure output is unique.
github.com/IMNMV/Genguard
Tell the model what columns you want, the data you need generated, and how many rows. It includes a validation layer to make sure output is unique.
github.com/IMNMV/Genguard
GitHub - IMNMV/Genguard: A data generation framework for cli agents
A data generation framework for cli agents. Contribute to IMNMV/Genguard development by creating an account on GitHub.
github.com
January 8, 2026 at 3:22 AM
Need synthetic data but don't want to use the API? I made an MCP specifically for small dataset curation with cli agents.
Tell the model what columns you want, the data you need generated, and how many rows. It includes a validation layer to make sure output is unique.
github.com/IMNMV/Genguard
Tell the model what columns you want, the data you need generated, and how many rows. It includes a validation layer to make sure output is unique.
github.com/IMNMV/Genguard
I've been wanting to explore how people talk to Grok since asking Grok for information became common place. To test out a new scraping method, I took a look at tweets with @grok today since there have been an uptick in requesting sexual modifications to images and analyzed them w/ Opus 4.5 in R.
January 1, 2026 at 3:31 AM
I've been wanting to explore how people talk to Grok since asking Grok for information became common place. To test out a new scraping method, I took a look at tweets with @grok today since there have been an uptick in requesting sexual modifications to images and analyzed them w/ Opus 4.5 in R.
I was curious to check out how frontier LLM companies each handled terms of service between consumers and their enterprise agreements.
I was primarily interested in: arbitration, indemnification, and user data training. Using Opus 4.5 it scraped the consumer and business TOS for major AI companies.
I was primarily interested in: arbitration, indemnification, and user data training. Using Opus 4.5 it scraped the consumer and business TOS for major AI companies.
December 30, 2025 at 8:31 AM
I was curious to check out how frontier LLM companies each handled terms of service between consumers and their enterprise agreements.
I was primarily interested in: arbitration, indemnification, and user data training. Using Opus 4.5 it scraped the consumer and business TOS for major AI companies.
I was primarily interested in: arbitration, indemnification, and user data training. Using Opus 4.5 it scraped the consumer and business TOS for major AI companies.
Given the recent executive order by Trump to federally regulate AI, I was curious to explore what standalone bills Congress has managed to pass - and who has led the charge in passing them.
With Opus 4.5 in R, I pulled bills with AI related terms then made topics from those will full text to analyze
With Opus 4.5 in R, I pulled bills with AI related terms then made topics from those will full text to analyze
December 30, 2025 at 8:23 AM
Given the recent executive order by Trump to federally regulate AI, I was curious to explore what standalone bills Congress has managed to pass - and who has led the charge in passing them.
With Opus 4.5 in R, I pulled bills with AI related terms then made topics from those will full text to analyze
With Opus 4.5 in R, I pulled bills with AI related terms then made topics from those will full text to analyze