<?xml version="1.0" encoding="utf-8"?>
<?xml-stylesheet type="text/xsl" href="../assets/xml/rss.xsl" media="all"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Vestigium (Publicaciones sobre GenAI)</title><link>https://jaalonso.github.io/vestigium/</link><description></description><atom:link href="https://jaalonso.github.io/vestigium/tags/genai.xml" rel="self" type="application/rss+xml"></atom:link><language>es</language><copyright>Contents © 2026 &lt;a href="mailto:"&gt;José A. Alonso&lt;/a&gt; 
&lt;a rel="license" href="https://creativecommons.org/licenses/by-nc-sa/4.0/"&gt;
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src="https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png"&gt;&lt;/a&gt;</copyright><lastBuildDate>Thu, 01 Oct 2026 13:00:03 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>Readings shared October 31, 2025</title><link>https://jaalonso.github.io/vestigium/posts/2025/11/01-readings_shared_10-31-25/</link><dc:creator>José A. Alonso</dc:creator><description>&lt;p&gt;The readings shared in &lt;a href="https://bsky.app/profile/jalonso.bsky.social"&gt;Bluesky&lt;/a&gt; on 31 October 2025 are:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href="https://arxiv.org/abs/2510.21741"&gt;Virasoro algebra and Sugawara constructions formally in Lean&lt;/a&gt;. ~ Kalle Kytölä. #ITP #LeanProver #Math&lt;/li&gt;
&lt;li&gt;&lt;a href="https://philpapers.org/archive/SCHDOF-8.pdf"&gt;Derivation of fundamental physical constants from substrate ontology&lt;/a&gt;. ~ Matthew Scherf. #ITP #LeanProver #Physics&lt;/li&gt;
&lt;li&gt;&lt;a href="https://www.researchgate.net/profile/Soumya_Banerjee/publication/396932859_Conjecture_extraction_for_proof_autoformalization/links/68ff6c60a404d657099f1f89/Conjecture-extraction-for-proof-autoformalization.pdf"&gt;Conjecture extraction for proof autoformalization&lt;/a&gt;. ~ Simon Sorg, Wenda Li, Soumya Banerjee. #AI #Math #ITP #LeanProver #Autoformalization&lt;/li&gt;
&lt;li&gt;&lt;a href="https://blog.google/technology/google-deepmind/ai-for-math"&gt;Accelerating discovery with the AI for Math Initiative (The initiative brings together some of the world's most prestigious research institutions to pioneer the use of AI in mathematical research)&lt;/a&gt;. ~ Pushmeet Kohli, Eugénie Rives. #AI #Math&lt;/li&gt;
&lt;li&gt;&lt;a href="https://cacm.acm.org/blogcacm/genai-for-computing-careers-a-sunny-take/"&gt;GenAI for computing careers: A sunny take (Positive outcomes for computer science graduates will take some determined action from both educators and learners)&lt;/a&gt;. ~ Saurabh Bagchi. #GenAI #CompSci #Education&lt;/li&gt;
&lt;li&gt;&lt;a href="https://jaalonso.github.io/exercitium/posts/2014/11/10-extension_de_un_fichero/"&gt;#Exercitium: Extensión de un fichero&lt;/a&gt;. #Haskell #ProgramaciónFuncional&lt;/li&gt;
&lt;/ul&gt;</description><category>AI</category><category>Autoformalization</category><category>CompSci</category><category>Education</category><category>FunctionalProgramming</category><category>GenAI</category><category>Haskell</category><category>ITP</category><category>LeanProver</category><category>Math</category><category>Physics</category><guid>https://jaalonso.github.io/vestigium/posts/2025/11/01-readings_shared_10-31-25/</guid><pubDate>Sat, 01 Nov 2025 04:00:00 GMT</pubDate></item><item><title>Readings shared October 29, 2025</title><link>https://jaalonso.github.io/vestigium/posts/2025/10/30-readings_shared_10-29-25/</link><dc:creator>José A. Alonso</dc:creator><description>&lt;p&gt;The readings shared in &lt;a href="https://bsky.app/profile/jalonso.bsky.social"&gt;Bluesky&lt;/a&gt; on 29 October 2025 are:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href="https://arxiv.org/abs/2510.24060"&gt;Formalizing Schwartz functions and tempered distributions&lt;/a&gt;. ~ Moritz Doll. #ITP #LeanProver #Math&lt;/li&gt;
&lt;li&gt;&lt;a href="https://1000-plus.github.io/all"&gt;1000+ theorems (The spiritual successor of Freek’s list of 100 theorems&lt;/a&gt;. Now with more than 1000 theorems!). ~ Katja Berčič et als. #Math #ITP #IsabelleHOL #HOL&lt;sub&gt;Light&lt;/sub&gt; #Rocq #LeanProver #Metamath #Mizar&lt;/li&gt;
&lt;li&gt;&lt;a href="https://arxiv.org/abs/2510.23637"&gt;Combining textual and structural information for premise selection in Lean&lt;/a&gt;. ~ Job Petrovčič, David Eliecer Narvaez Denis, Ljupčo Todorovski. #AI #Math #ITP #LeanProver&lt;/li&gt;
&lt;li&gt;&lt;a href="https://arxiv.org/abs/2506.08588"&gt;Martin Davis: An overview of his work in logic, computer science, and philosophy&lt;/a&gt;. ~ Liesbeth De Mol, Yuri V. Matiyasevich, Eugenio G. Omodeo, Alberto Policriti, Wilfried Sieg, Elaine J. Weyuker. #Logic #Math #CompSci&lt;/li&gt;
&lt;li&gt;&lt;a href="https://www.johndcook.com/blog/2025/10/28/freshmans-dream/"&gt;Freshman’s dream&lt;/a&gt;. ~ John D. Cook. #Math #Python #Programming&lt;/li&gt;
&lt;li&gt;&lt;a href="https://cacm.acm.org/news/the-reasons-ai-may-act-secretive"&gt;The reasons AI may act secretive (Trained to reflect human behavior, AI models may share half-truths or purposely omit information)&lt;/a&gt;. ~ Jennifer Goforth Gregory. #AI&lt;/li&gt;
&lt;li&gt;&lt;a href="https://cacm.acm.org/news/in-search-of-better-search/"&gt;In search of better search (Does AI improve, or misdirect, search engines and their results?)&lt;/a&gt;. ~ Samuel Greengard. #GenAI&lt;/li&gt;
&lt;li&gt;&lt;a href="https://jaalonso.github.io/exercitium/posts/2014/11/05-suma_de_todos_los_anteriores/"&gt;#Exercitium: Suma de todos los anteriores&lt;/a&gt;. #Haskell #ProgramaciónFuncional #Matemáticas&lt;/li&gt;
&lt;/ul&gt;</description><category>AI</category><category>CompSci</category><category>FunctionalProgramming</category><category>GenAI</category><category>Haskell</category><category>HOL&lt;sub&gt;Light&lt;/sub&gt;</category><category>IsabelleHOL</category><category>ITP</category><category>LeanProver</category><category>Logic</category><category>Math</category><category>Metamath</category><category>Mizar</category><category>Programming</category><category>Python</category><category>Rocq</category><guid>https://jaalonso.github.io/vestigium/posts/2025/10/30-readings_shared_10-29-25/</guid><pubDate>Thu, 30 Oct 2025 04:00:00 GMT</pubDate></item><item><title>Readings shared January 11, 2025</title><link>https://jaalonso.github.io/vestigium/posts/2025/01/11-readings_shared_01-11-25/</link><dc:creator>José A. Alonso</dc:creator><description>&lt;p&gt;The readings shared in &lt;a href="https://bsky.app/profile/jalonso.bsky.social"&gt;Bluesky&lt;/a&gt; on 11 January 2025 are&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href="https://jaalonso.github.io/vestigium/posts/2025/01/10-readings_shared_01-10-25"&gt;Readings shared January 10, 2025&lt;/a&gt;. #ITP #LeanProver #Logic #Math #Haskell #Python #ASP #LogicProgramming #AI #NeuroSymbolicAI #LLMs&lt;/li&gt;
&lt;li&gt;&lt;a href="https://jaalonso.github.io/exercitium/posts/2025/01/11-numeros_amigos/"&gt;#Exercitium: Números amigos&lt;/a&gt;. #Haskell #Python #Matemáticas&lt;/li&gt;
&lt;li&gt;&lt;a href="https://raw.githubusercontent.com/jwbuurlage/category-theory-programmers/master/doc/categories_for_programmers.pdf"&gt;Categories and Haskell (An introduction to the mathematics behind modern functional programming)&lt;/a&gt;. ~ Jan-Willem Buurlage. #CategoryTheory #Haskell #FunctionalProgramming&lt;/li&gt;
&lt;li&gt;&lt;a href="https://github.com/facebookresearch/LeanUniverse"&gt;LeanUniverse: A library for consistent and scalable Lean4 dataset management&lt;/a&gt;. ~ Aram H. Markosyan, Gabriel Synnaeve, Hugh Leather. #ITP #LeanProver&lt;/li&gt;
&lt;li&gt;&lt;a href="https://hal.science/hal-04859450v1/file/jfla2025-final36.pdf"&gt;Proxy-based small inversions: a case study in MetaCoq programming&lt;/a&gt;. ~ Pierre Corbineau, Basile Gros, Jean-François Monin. #ITP #Coq #Rocq&lt;/li&gt;
&lt;li&gt;&lt;a href="https://trendsfp.github.io/abstracts/paper-006.pdf"&gt;On the correctness of Barron and Strachey’s cartesian product function&lt;/a&gt;. ~ Wouter Swierstra, Jason Hemann. #Haskell #FunctionalProgramming #ITP #Agda&lt;/li&gt;
&lt;li&gt;&lt;a href="https://trendsfp.github.io/abstracts/paper-028.pdf"&gt;Alpha beta pruning with the selection monad&lt;/a&gt;. ~ Johannes Hartmann, Jeremy Gibbons. #Haskell #FunctionalProgramming&lt;/li&gt;
&lt;li&gt;&lt;a href="https://trendsfp.github.io/abstracts/paper-012.pdf"&gt;Using GHC core to normalise student programs&lt;/a&gt;. ~ Matilda Blomqvist, Alex Gerdes. #Haskell #FunctionalProgramming&lt;/li&gt;
&lt;li&gt;&lt;a href="https://trendsfp.github.io/abstracts/paper-007.pdf"&gt;Shallowly embedded functions&lt;/a&gt;. ~ Mart Lubbers, Pieter Koopman, Niek Janssen. #Haskell #FunctionalProgramming&lt;/li&gt;
&lt;li&gt;&lt;a href="https://trendsfp.github.io/abstracts/paper-010.pdf"&gt;CoScheme: Compositional copatterns in Scheme&lt;/a&gt;. ~ Paul Downen, Adriano Corbelino II. #FunctionalProgramming&lt;/li&gt;
&lt;li&gt;&lt;a href="https://cacm.acm.org/blogcacm/assessment-in-computer-science-education-in-the-genai-era/"&gt;Assessment in computer science education in the GenAI era (Prioritizing critical thinking over syntax mastery)&lt;/a&gt;. ~ Orit Hazzan. #ComputerSci #Education #GenAI&lt;/li&gt;
&lt;/ul&gt;</description><category>Agda</category><category>CategoryTheory</category><category>ComputerSci</category><category>Coq</category><category>Education</category><category>FunctionalProgramming</category><category>GenAI</category><category>Haskell</category><category>ITP</category><category>LeanProver</category><category>Math</category><category>Python</category><category>Rocq</category><guid>https://jaalonso.github.io/vestigium/posts/2025/01/11-readings_shared_01-11-25/</guid><pubDate>Sat, 11 Jan 2025 04:00:00 GMT</pubDate></item></channel></rss>