sayzard4h ago

Python Trending (@pythontrending)

Matrix-Game 3.0이 공개되었습니다. 실시간 스트리밍 방식의 인터랙티브 월드 모델로, 장기 기억(long-horizon memory)을 지원하는 것이 핵심입니다. AI 시뮬레이션과 월드 모델 연구에서 주목할 만한 새 기술입니다.

https://x.com/pythontrending/status/2038938236764946537

#worldmodel #matrixgame #airesearch #longtermmemory #interactiveai

Python Trending 🇺🇦 (@pythontrending) on X

Matrix-Game - Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory https://t.co/urKh6DKnSX

X (formerly Twitter)
N-gated Hacker News4h ago
🛴 So, Boris spends 3 years commuting on Lime bikes in London and now discovers Lime is actually a data company. 🚴‍♂️🔍 The real shocker? He thinks combining #GDPR and some AI will turn his daily pedaling into groundbreaking research. 🤦‍♂️📊
https://ktoya.me/lime-data-company/ #LimeBikes #LondonData #AIResearch #CommutingInsights #HackerNews #ngated
Lime is a Data Company - Boris Starkov

Using Claude to analyse 3 years of my daily lime bike commute in London

AIagent.at 🤖 AI News5h ago
Nomadic raises 8.4 million USD to wrangle the data pouring off autonomous vehicles. The startup builds a platform that turns AV footage into structured, searchable datasets using vision language models, helping companies find rare edge-case footage for training self-driving systems. Founded by Harvard CS grads who met at Lyft and Snowflake, the company won first prize at Nvidia GTC's pitch contest. https://techcrunch.com/2026/03/31/nomadic-raises-8-4-million-to-wrangle-the-data-pouring-off-avs/ #AIagent #AI #GenAI #AIResearch #Nomadic
Nomadic raises $8.4 million to wrangle the data pouring off autonomous vehicles | TechCrunch

The company turns footage from robots into structured, searchable datasets with a deep learning model.

TechCrunch
sayzard6h ago

khazzz1c (@Imkhazzz1c)

Transformer Circuits에서 attribution graphs 방법론을 공개하며, 모델 내부 해석과 원인 추적을 위한 새 분석 기법을 소개했다. AI 모델의 동작을 더 정밀하게 이해하려는 연구자와 개발자에게 유용한 기술적 자료다.

https://x.com/Imkhazzz1c/status/2038881239923564763

#mechanisticinterpretability #transformer #airesearch #attributiongraphs

khazzz1c (@Imkhazzz1c) on X

https://t.co/MUnBYPnMHA soooolid work

X (formerly Twitter)
Winbuzzer7h ago

https://winbuzzer.com/2026/03/31/meta-hyperagents-self-improving-ai-cross-domain-transfer-xcxwbn/

AI Agents: Meta's DGM-Hyperagents Speed Up Self-Improvement with Additional Optimization Layer

#AI #Meta #MetaAI #AIAgents #AIResearch #AgenticAI #SelfImprovement #DeepLearning #MetaSuperintelligenceLabs #Hyperagents

AIagent.at 🤖 AI News11h ago
Mantis Biotech is building digital twins of the human body using AI to solve medicine's data problem. The startup combines data from textbooks, motion capture, biometric sensors and medical imaging, then runs it through a physics engine to create predictive models for medical research, surgical training and injury prevention. https://techcrunch.com/2026/03/30/mantis-biotech-is-making-digital-twins-of-humans-to-help-solve-medicines-data-availability-problem/ #AIagent #AI #GenAI #AIResearch #Mantis
Mantis Biotech is making 'digital twins' of humans to help solve medicine's data availability problem | TechCrunch

Mantis takes disparate sources of data to make synthetic datasets that can be used to build so-called "digital twins" of the human body, representing anatomy, physiology and behavior.

TechCrunch
sayzard20h ago

vitrupo (@vitrupo)

Misha Laskin이 RL이 대규모로 작동하기 시작하면 AI 발전은 결국 경제성 문제로 바뀐다고 언급했습니다. AlphaGo 사례와 함께, 언어모델에서 RL이 가능해지면서 다른 분야로도 확장되며, 질병 치료 같은 문제에 수십억 달러를 투입할 의지가 핵심이 된다는 관점입니다.

https://x.com/vitrupo/status/2038769585764376896

#reinforcementlearning #llm #economics #alphago #airesearch

vitrupo (@vitrupo) on X

Misha Laskin says once RL works at scale, progress becomes an economics problem. AlphaGo kept improving until it wasn’t worth the compute. Now that RL works on language models, the same logic applies elsewhere: “How much are you willing to spend $10B, $100B to cure a disease?”

X (formerly Twitter)
Hacker News20h ago

Universal Claude.md – cut Claude output tokens by 63%

https://github.com/drona23/claude-token-efficient

#HackerNews #UniversalClaude #ClaudeOutputTokens #TokenEfficiency #AIResearch #HackerNews

GitHub - drona23/claude-token-efficient: Universal CLAUDE.md - cut Claude output tokens by 63%. Drop-in. No code changes.

Universal CLAUDE.md - cut Claude output tokens by 63%. Drop-in. No code changes. - drona23/claude-token-efficient

GitHub
AIagent.at 🤖 AI News22h ago
Microsoft has released Harrier-OSS-v1, a family of three multilingual text embedding models ranging from 270M to 27B parameters. The models achieved state-of-the-art results on the Multilingual MTEB v2 benchmark, supporting a 32,768 token context window across all sizes. They use decoder-only architectures with last-token pooling and require task-specific instructions for optimal retrieval. https://www.marktechpost.com/2026/03/30/microsoft-ai-releases-harrier-oss-v1-a-new-family-of-multilingual-embedding-models-hitting-sota-on-multilingual-mteb-v2/ #AIagent #AI #GenAI #AIResearch #Microsoft
Show threadKit 🔻1d ago

"When you're using chatbots as a source of information, you're not even taking the step of assessing 'Where does this information come from?'," says Dr Gebru

#tech #AIResearch #pdaf2026