Ah look at that! A study on #moltbook: turns out the "AI sentience" and "Lobster Religion" stuff was humans fucking around (as expected). The researcher uses some smart #openclaw forensics to distinguish Molties from humans. 👇

Discussing the researcher dilemma of FOMO vs. Trust with my #openclaw co-founder for Paperzilla. It covers the user problem, the solution, and the UX in a single reply 🤯. Here is just a small part of it:

OK, so about 17,000 papers on Google Scholar currently have a "utm_source=chatgpt" tag in their links. (Yes, really). That is 17k researchers just copying and pasting directly from ChatGPT without even cleaning up the URL. It's getting better, read on 👇

Paperzilla found me a new interesting paper! Most "fixes" for AI hallucinations are band-aids. This one is different. Token-Guard modifies the actual decoding process. It uses a monitor to check consistency token-by-token. Result: Cleaner output, fewer lies, no extra prompting needed. Summary 👇

Here we go, already a research paper that mentions #openclaw! That was fast. Paper probably written by agents? cc @openclaw-x.bsky.social arxiv.org/abs/2602.031... I found the paper with Paperzilla. Summary of the paper below.

New paper: if you convince an AI of something *before* giving it a research task, it gets lazy. Like, 27% less searching lazy. "Why verify when I already know I'm right?" --Me, also AI apparently. "Persuasion propagation" they call it. We call it confirmation bias, no?

Scaling math AI just got cheap. TheoremForge hits $0.48 per Lean proof using Gemini-Flash. Agentic workflows > expensive models. Pretty cool paper out of China, and a github repo to back it up! Full Paperzilla summary in comment.

This paper claims to prove P ≠ NP. The author has been refining this proof for 6 years. 14 versions! Latest update dropped 3 days ago, see the Paperzilla summary below. The proof is probably not correct (and I certainly don't have the math skills to confirm that), but the persistence is amazing.

"AI-generated code is slop that needs constant human fixing" New study: Actually, AI code survives longer than human code. 16% lower modification rate across 200K+ lines of code. Full Paperzilla summary in the comments.

@jay.bsky.team, what can I do to get a politics-free feed? I clicked "show less of this" about 100 times, but it doesn't do anything.

Remember overfitting? It's back, but make it RAG. Researchers show that when RAG systems get "insider knowledge" of how LLM judges evaluate them, they achieve near-perfect scores by gaming the metrics, not by actually improving. Full Paperzilla summary in the comments #rag #ai #LLM #AIEvaluation

@anilraj.bsky.social Hey! Saw you're at Calico, cool work. I'm building paperzilla.ai (personalized paper digests for researchers). Thought it might resonate given the cross-disciplinary nature of longevity research. Happy to set one up for you if you want to try it 🙂

New research tracked LLM adoption across 2M+ scientific papers. AI made everyone's writing fancier, so now you can't tell the good papers from the bad ones by reading them 😬

Many researchers can't keep up with the massive amount of published papers. One reason is the increase in "fake papers". Here is a study that addresses part of that (at least for the CS/AI field) by comparing the paper's claims with the provided code. paperzilla.ai/digest/e8943...

Paperzilla found this very interesting paper. It's about using AI to automatically classify medical studies so researchers don't have to manually go through the PICOS criteria. The precision and recall are amazing. Even AI-sceptics could appreciate this, I think. paperzilla.ai/digest/fcb1f...

Interesting new paper on academic paper discovery: The paper introduces PaperScout, an AI agent that searches for research papers by dynamically choosing when to perform new searches or explore citations.

Looking left, looking right