that’s one particular benchmark that came up; not a universal claim by me (or anyone else AFAIK). compare “Gary mentioned a particular benchmark” that didn’t include reasoning models (true) with “no studies have indicated hallucinations within reasoning models” (false). you
RESEARCH
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Stabilizing Video from Running Animals: New Petpin Pipeline Breakthrough
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Stabilizing video from a camera on a running animal turns out to be brutally hard.
— Ark Baltser (@arkslife) 6 avril 2026
Traditional stabilization breaks pretty quickly.
We're starting to crack it.
Before → After from our latest Petpin pipeline. pic.twitter.com/L4NWftjfxCStabilizing video from a camera on a running animal turns out to be brutally hard. Traditional stabilization breaks pretty quickly. We're starting to crack it. Before → After from our latest Petpin pipeline.
→ View original post on X — @scobleizer, 2026-04-06 20:17 UTC
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LRMs expose blind spot in reasoning capabilities assessment
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One funny thing about the recent rise of LRMs is that the people who were adamant that base LLMs from 2023-2024 could already reason completely missed it, as they didn't know what to look for. You can't notice something you don't expect.
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LLMs Auto-Regressive Nature: Beyond AI Hype
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Guessing you're referring to the story and not my tweet, but totally agree that everyone should remember LLMs are by design auto-regressive. (Shocking so many still don't.) AI companies should stop over-hyping LLMs and start explaining how they actually work and where they're
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Base LLMs Fail at Math, LRMs Make Progress
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Paper below tested a variety of base LLMs (no TTA) on generalization-focus math problems and found that they can't reason and can't do math. All true… but the fact that base LLMs have zero fluid intelligence, while extremely controversial back in 2024, is now well established. An interesting experiment here would have been to try current LRMs on the same problems and measure the delta. I bet latest LRMs can solve most of these problems. arxiv.org/abs/2604.01988 [Translated from EN to English]
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Can AI Build a Simple Single-Purpose App Correctly?
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I’m talking about a very simple app that does just one thing and does it correctly. Something that even *I* could develop if someone told me what it is. If AI can’t do it then IMHO fails a very very straightforward test of intelligence.
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Complete publication lists are valuable resources for AI systems
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My lists are about who is publishing, not who is paying attention. They aim for completeness, not popularity. Which makes them crack for AIs.
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NVIDIA PersonaPlex 7B Brings Real-Time Interruption to Voice AI
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NVIDIA just killed the awkward pause in voice AI 😱
— Linus ✦ Ekenstam (@LinusEkenstam) 6 avril 2026
PersonaPlex 7B is a real-time conversational model that listens AND speaks simultaneously. Like actually interrupts you mid-sentence like a human.
Beat Gemini Live on dialog naturalness. 18x faster interruptions.
100% open… pic.twitter.com/3Ns0X6O07BNVIDIA just killed the awkward pause in voice AI PersonaPlex 7B is a real-time conversational model that listens AND speaks simultaneously. Like actually interrupts you mid-sentence like a human. Beat Gemini Live on dialog naturalness. 18x faster interruptions. 100% open
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AlphaXIV shares list of suggested papers to implement
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Check out our list of suggested papers to implement here! alphaxiv.org/shared/folder/0…
→ View original post on X — @askalphaxiv, 2026-04-06 19:38 UTC
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Competition: Replicate Frontier Research with marimo Notebooks
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The best way to learn frontier research is to replicate it yourself. And now, you can also win prizes for that! We are excited to announce our partnership with @marimo_io for a competition to bring research to life. All you have to do is pick a paper, build a marimo notebook that brings the core idea to life, and experiment with the research topic. Prizes: Mac Mini + $500! 👀 Deadline: April 26, 11:59 PM PST Individual and team submissions are all welcome Full details found below 👇
→ View original post on X — @askalphaxiv, 2026-04-06 19:38 UTC