Transcription Pearl

A Python-based GUI application for transcribing and processing images containing historical handwritten text using Large Language Models (LLMs) via API services (OpenAI, Google, and Anthropic APIs). Designed for academic and research purposes.

Source: mhumphries2323/Transcription_Pearl: The repository provides access to the source code for Transcription Pearl, an Handwritten Text Recognition (HTR) tool, that uses AI to transcribe handwritten documents

Tesserae V6

Tesserae is an intertextual analysis tool for discovering textual parallels in classical literature. It helps scholars find passages where one author may have been influenced by, alluding to, or directly quoting another text. Founded in 2008 by Neil Coffee (Department of Classics) and J. P. Koenig (Department of Linguistics) at the University at Buffalo, SUNY, this is Version 6, a modern reimplementation of the V3 algorithm.

Source: Tesserae V6

Writing notes by hand does seem to help learning, but a new experiment shows the real advantage is smaller and stranger than the internet says – Silicon Canals

More words were associated with better quiz performance in both the original study and the replication. Verbatim overlap was associated with worse performance, although that relationship was less robust in the replication. This makes the simple story awkward in a useful way: recording more can help, copying without processing can hurt, and a keyboard makes both easier.

Source: Writing notes by hand does seem to help learning, but a new experiment shows the real advantage is smaller and stranger than the internet says – Silicon Canals

Mathematical Experiments Are Becoming Abundant Through Human-Machine Teaming | Towards Data Science

The scale and level of mathematical sophistication differ enormously from my own weekend project, but the underlying workflow is remarkably similar: generate many candidate approaches, eliminate most of them through exact computation and criticism, formalise what can be formalised, and reserve human judgement for novelty, correctness and significance. The important observation is not that either system solved a famous open problem. It is that mathematical experimentation itself is becoming dramatically cheaper, while proof, understanding, novelty and independent review remain scarce.

Source: Mathematical Experiments Are Becoming Abundant Through Human-Machine Teaming | Towards Data Science

How Claude’s text watermarking works Anthropic

There are limitations to the effectiveness of watermarking. Using our key, one can only answer the question “What is the likelihood this was partly written by Claude?” It doesn’t confirm whether the text was human-written, and it can’t tell whether the text was written by a different AI (even if that other AI uses watermarking, it would have a different key; it might also use a different watermarking method altogether). Detecting a watermark also doesn’t work well on small samples, where there are fewer word choices and thus less information to go on. As a passage increases in length, confidence about Claude’s involvement increases too.

Source: How Claude’s text watermarking works Anthropic

A Swarm of Blood Robots — by Craig Mod

I dumped into Claude my huge document containing all I knew about my adoption. I added stories and notes I had about family members on both maternal and paternal sides. And then I said: OK, you have access to my Ancestry account (via the Chrome plugin), I want you to find out as much as you can about these people, their ancestors, using my DNA results and connections therein, and continue to iterate until we’ve exhausted all data trails.

Source: A Swarm of Blood Robots — by Craig Mod

Read This Before You Buy That TV Streaming Stick – Krebs on Security

“An operator can drag blocks together in their Blockly editor, to define each fraud routine, given a task type,” reads Bitsight’s report. “Once the routine is saved, it gets exported as JavaScript and uploaded to the S3 buckets. An operator doesn’t need as much understanding of the underlying technicalities, as it is all set in place for ease of use.”

Source: Read This Before You Buy That TV Streaming Stick – Krebs on Security