sayzardMar 26

Lukas Ziegler (@lukas_m_ziegler)

Franka Robotics와 Agile Robots SE 공동 부스에서 로봇과 파운데이션 모델이 실제로 결합되는 데모가 소개됐다. FR3 Duo를 포함한 시스템을 통해 연구용 로봇 하드웨어와 AI 기반 제어/인지가 어떻게 만나고 있는지 보여주는 현장 사례다.

https://x.com/lukas_m_ziegler/status/2037122390367326580

#robotics #foundationmodels #franka #agilerobots #demonstration

Lukas Ziegler (@lukas_m_ziegler) on X

Where robotics + foundation models are actually meeting! 🔬 I came across a really interesting demo at the joint booth of @FRANKAROBOTICS and Agile Robots SE, and it’s a good snapshot of where things are heading. The first system is the FR3 Duo, basically two Franka Research 3

X (formerly Twitter)
Andreas BeckerMar 26

Meta stellt mit TRIBE v2 ein Foundation-Modell zur Vorhersage menschlicher Gehirnaktivitäten vor. Das System verarbeitet visuelle, auditive und linguistische Daten in einem gemeinsamen Vektorraum, trainiert auf über 500 Stunden fMRI-Daten. Bei der Auswertung von Filmreizen erzielt das Modell einen Vorhersagewert von 0,28, deutlich vor etablierten Analysemethoden.

#Meta #TRIBEv2 #Neuroscience #FoundationModels #News
https://www.all-ai.de/news/news26/meta-tribe-v2-neu

Meta TRIBE v2: Neues KI-Modell analysiert Gehirnaktivitäten

Das multimodale System sagt neuronale Reaktionen auf Filme und Sprache präzise voraus.

All-AI.de
Institute for AIMar 25

We are hiring! The Institute for Artificial Intelligence at the University of Stuttgart (@Uni_Stuttgart) is looking for a PostDoc to work on Foundation Models for Knowledge Graphs.

The position focuses on automating the management of data and knowledge by combining machine learning, logics, and natural language understanding. You will define new projects, mentor students, and contribute to real-world applications.

Full-time (100% TV-L E13), 2 years. Application deadline: April 16, 2026.

Apply via careers.uni-stuttgart.de — details here:
https://www.ki.uni-stuttgart.de/institute/news/PostDoc-working-on-Foundation-Models-for-Knowledge-Graphs-for-2-years-100-TV-L-E13/

#Hiring #PostDoc #KnowledgeGraphs #FoundationModels #AI #NLP #MachineLearning #SemanticWeb #AcademicJobs

PostDoc working on Foundation Models for Knowledge Graphs (for 2 years, 100% TV-L E13) | News | Mar 24, 2026 | Institute for Artificial Intelligence | University of Stuttgart

Snapp iOS WeeklyMar 24

FoundationModels' 4,096-token context window can be tough to manage. iOS 26.4 introduces new APIs to measure instructions, prompts, and full transcripts - finally giving us proactive token management instead of just reacting to errors when the limit is hit.

🔗: https://artemnovichkov.com/blog/tracking-token-usage-in-foundation-models by Artem Novichkov

#Swift #FoundationModels #iOSDev

Tracking token usage in Foundation Models

Measuring instructions, prompts, and transcripts against the context window

Artem Novichkov
eicker.news ᳇ tech newsMar 23
#WorldModels, a new class of #foundationmodels, learn to predict future states from action-labelled gaming clips. Unlike traditional video models, World Models incorporate actions as a form of compression, enabling them to efficiently simulate complex, dynamic environments. This ability to “compute the uncomputable” makes World Models a promising path. https://www.notboring.co/p/world-models?eicker.news #tech #media #news
World Models: Computing the Uncomputable

A Co-Written Essay with General Intuition's Pim DeWitte

Not Boring by Packy McCormick
sayzardMar 16

Sam Hogan (@samhogan)

NVIDIA가 'frontier models'를 공개한다고 알리며 오픈소스 경쟁력을 지키려는 의지를 보였습니다. 아직 폐쇄형 모델만큼 성능이 되진 않지만, 좋은 베이스 모델에 경량 후처리만으로도 많은 과제에서 SoTA 수준 또는 그 이상을 달성할 수 있다는 전망을 제시합니다. 오픈소스 모델 생태계의 성능 향상과 경쟁 촉진을 시사합니다.

https://x.com/samhogan/status/2033350986056831154

#nvidia #opensource #foundationmodels #llm

Sam Hogan 🇺🇸 (@samhogan) on X

NVIDIA is releasing frontier models & has 4.38 trillion reasons to make sure open source stays competitive They’re not quite as good as the closed source stuff but I’m confident they’ll get there Good base model + some light post training get you ~SoTA or beyond on many tasks

X (formerly Twitter)
Ricardo DantasMar 16

Today I'm shipping BragLog! 🎉

I built this app to solve a problem I kept hitting: performance review time comes and I can't remember what I did two months ago.

If you've ever frozen at "what did you accomplish this quarter?" — this is for you.

https://braglog.app

#iOSDev #SwiftUI #Swift #FoundationModels #IndieDev #Apple #Launch

Show threadJay ᯅ | iOS Dev  Mar 14

- TranslationSession.Strategy.highFidelity: https://developer.apple.com/documentation/translation/translationsession/strategy/highfidelity
- TranslationSession.Strategy.lowLatency: https://developer.apple.com/documentation/translation/translationsession/strategy/lowlatency

#iosdev #SwiftLang #SwiftIUI #FoundationModels (3/3)

highFidelity | Apple Developer Documentation

A translation strategy that provides more fluent translations using Apple Intelligence.

Apple Developer Documentation
sayzardMar 9

Ilir Aliu (@IlirAliu_)

파운데이션 모델이 점점 '더 똑똑해지고' 있지만 업계는 여전히 '데모 시대'에 머물러 있고, 매끄러운 영상 데모가 현실 작동을 보장하지 않는다는 지적입니다. 특히 로봇 분야에서 'Validation Gap'(검증 격차)을 어떻게 해결할지에 대해 긴 논의를 예고하는 내용입니다.

https://x.com/IlirAliu_/status/2030717056426057781

#foundationmodels #validation #robotics #ai

Ilir Aliu (@IlirAliu_) on X

Foundation models are getting "smarter," but we’re still stuck in the "demo era." A smooth video doesn't mean a robot is ready for the real world. How is the industry tackling this "Validation Gap"? 🧵 This is gonna be a long one ❗️❗️ [Save this so you can find it when you

X (formerly Twitter)
sayzardMar 4

merve (@mervenoyann)

Qwen이 최고의 베이스 모델을 제공해 여러 연구실과 오픈소스 AI 생태계에 큰 변화를 일으키고 있다는 내용입니다. 많은 팀들이 Qwen을 기반으로 모델을 구축하며 오픈소스 AI 전반에 충격적인(재편을 촉발하는) 변화가 발생하고 있다는 관찰을 공유하고 있습니다.

https://x.com/mervenoyann/status/2028924000517177580

#qwen #opensource #foundationmodels #ai

merve (@mervenoyann) on X

just yesterday I posted this Qwen delivers the absolute best base models that everyone builds on them quite shaking changes for every single lab in open-source AI tbf

X (formerly Twitter)