Mastodawn

🧠🤖 Explore the frontier of AI, consciousness, and society.

Applications for the AI Sentience Scholars program are now open!

➡️ Learn more and review the application: https://neuromatch.io/ai-sentience-scholars/
➡️ Register for the webinar here: https://us06web.zoom.us/webinar/register/WN_z9g1Ut7DQM6N3asbVO97aw

#AIResearch #ConsciousnessStudies #EarlyCareerResearchers #AcademicCommunity #Mentorship #ResearchOpportunities #EthicsInAI #AISETS #GraduateStudents #Postdocs #GraduateStudents #Postdocs

AIagent.at 🤖 AI News 10h ago

Google AI released WAXAL, a multilingual speech dataset covering 24 African languages for ASR and TTS. Uses image-prompted speech for ASR and studio-quality recordings for TTS. Addresses the data gap for low-resource languages. https://www.marktechpost.com/2026/03/17/google-ai-releases-waxal-a-multilingual-african-speech-dataset-for-training-automatic-speech-recognition-and-text-to-speech-models/ #AIagent #AI #GenAI #AIResearch #Google

Hacker News 17h ago

Canopy Height Maps v2

https://ai.meta.com/blog/world-resources-institute-dino-canopy-height-maps-v2/?_fb_noscript=1

#HackerNews #CanopyHeightMaps #CanopyMapping #AIResearch #WorldResourcesInstitute #DINO

Mapping the World's Forests with Greater Precision: Introducing Canopy Height Maps v2

In partnership with the World Resources Institute, today we’re announcing Canopy Height Maps v2 (CHMv2), an open source model, along with world-scale maps generated with the model.

Meta AI

Leon Furze Jun 13, 2023

Secondary School Assessment and Artificial Intelligence

When ChatGPT landed on our doorsteps in November 2022, it largely slipped beneath the education radar. By the time term 1 2023 rolled around, however, it's fair to say that the situation had changed. Most states in Australia banned the technology in Department schools, and those bans remained in place for several months. Despite the bumpy start, policy is quickly catching up with the reality of these technologies. We're now starting to see some guidelines emerging from various states and […]

https://leonfurze.com/2023/06/13/secondary-school-assessment-and-artificial-intelligence/

Leon Furze Oct 10, 2023

What happens when Generative AI disappears into the woodwork?

As part of my PhD studies, I read and write a lot of stuff that doesn't really fit into my research, but which I find interesting anyway. I'm categorising these "spare parts" on my blog, and if you're interested in following them you'll find them all here. At the moment we’re still in the thick of the Generative AI hype, with social media posts and articles telling us things like “you’re using ChatGPT wrong” and “here’s how you can maximise your profits and automate your […]

https://leonfurze.com/2023/10/11/what-happens-when-generative-ai-disappears-into-the-woodwork/

Scott M. Graffius 18h ago

Are AI hallucinations getting better or worse? We analyzed the data.

See the report here: https://scottgraffius.com/blog/files/ai-hallucinations-2026.html

#AI #AIHallucinations #AISafety #AIResearch #AIErrors

N-gated Hacker News 1d ago

In a groundbreaking revelation that nobody asked for, two authors claim language models are actually just like distributed systems... because, you know, both involve computers and math 🤯. They proceed to drown us in a sea of jargon and acronyms, leaving readers wondering if this paper is an elaborate AI-generated prank 😜.
https://arxiv.org/abs/2603.12229 #languagemodels #distributedsystems #AIresearch #jargonoverload #techhumor #HackerNews #ngated

Language Model Teams as Distributed Systems

Large language models (LLMs) are growing increasingly capable, prompting recent interest in LLM teams. Yet, despite increased deployment of LLM teams at scale, we lack a principled framework for addressing key questions such as when a team is helpful, how many agents to use, how structure impacts performance -- and whether a team is better than a single agent. Rather than designing and testing these possibilities through trial-and-error, we propose using distributed systems as a principled foundation for creating and evaluating LLM teams. We find that many of the fundamental advantages and challenges studied in distributed computing also arise in LLM teams, highlighting the rich practical insights that can come from the cross-talk of these two fields of study.

arXiv.org

Hacker News 1d ago

Language Model Teams as Distrbuted Systems

https://arxiv.org/abs/2603.12229

#HackerNews #LanguageModelTeams #DistributedSystems #AIResearch #MachineLearning #HackerNews

Language Model Teams as Distributed Systems

Large language models (LLMs) are growing increasingly capable, prompting recent interest in LLM teams. Yet, despite increased deployment of LLM teams at scale, we lack a principled framework for addressing key questions such as when a team is helpful, how many agents to use, how structure impacts performance -- and whether a team is better than a single agent. Rather than designing and testing these possibilities through trial-and-error, we propose using distributed systems as a principled foundation for creating and evaluating LLM teams. We find that many of the fundamental advantages and challenges studied in distributed computing also arise in LLM teams, highlighting the rich practical insights that can come from the cross-talk of these two fields of study.

arXiv.org

sayzard 1d ago

Nathan Goldschlag (@ngoldschlag)

NBER에 게재된 'AI 과학자' 논문 발표 소식. 저자들(Ufuk Akcigit, Craig A. Chikis, Emin Dinlersoz)은 학술 논문 저자 정보를 미국 인구조사국의 행정 기록과 익명 연계(anonymized record linkage)하여 AI 연구자 집단을 심층 분석한 연구 결과를 제시한다.

https://x.com/ngoldschlag/status/2033517007098794384

#airesearch #nber #census #academia

Nathan Goldschlag (@ngoldschlag) on X

Very excited our paper on AI scientists is out at NBER (w/ @ProfUfukAkcigit, Craig A. Chikis, and Emin Dinlersoz). We link authors of academic papers to administrative records at the U.S. Census Bureau (via anonymized record linkage) and zoom in on AI scientists. We see

X (formerly Twitter)