Amazon MGM Studios and AWS are launching a "GenAI Creators' Fund" that gives filmmakers money and access to the in-house AI platform "Project Nara." Three animated series are already in production - the teams had five weeks for their pilots. Amazon says it now has the "only end-to-end AI content ecosystem in the industry."
Amazon launches GenAI Creators' Fund with access to Project Nara
Mistral AI CEO Arthur Mensch confirms the company is exploring custom chip development to reduce infrastructure costs and compete with OpenAI and Anthropic. The French startup also announced a new inference data center in France and an enterprise agent platform called Vibe.
Mistral AI is considering designing its own custom chips to lower deployment costs.
The company announced a new data center in France dedicated to AI inferencing.
A senior engineer reflects on how AI has transformed the senior engineer role over three years: faster prototyping, increased coordination burden, expanded scope but squeezed mentoring and thinking time. The role became more powerful but less sustainable.
AI collapsed the gap between idea and demo, shifting from proposals to PoCs.
The role expanded in both hands-on coding and strategic writing, cutting into mentoring and deep thinking.
YouTube launches an AI feature that generates personalized video feeds from user prompts, available to US users on mobile and desktop with English support.
Users can create custom feeds by entering descriptive prompts like 'help me unwind with guided meditations under 10 minutes'.
The feature is similar to Spotify's prompted playlists and Instagram's Reels algorithm control.
Shagang Steel and DingTalk have entered a strategic partnership to deploy Wukong AI across the enterprise, aiming to transform AI capabilities into tangible value in the steel industry.
Shagang partners with DingTalk to integrate AI into steel manufacturing
Wukong AI serves as the core engine for a unified collaboration platform
Taste Skill is an open-source frontend framework that enhances the design quality of AI-generated interfaces, preventing generic boilerplate looks. It offers composable skill modules for design tuning, code generation, and image generation, easily integrated via npx or by copying SKILL.md files.
Taste Skill uses adjustable design parameters (variance, motion, density) to give AI-generated UIs better taste
Includes specialized skills for design refinement, code generation, image generation, and more
Netflix is building a new internal studio called INKubator that aims to use AI to produce short-form animated content. The studio has quietly launched and is hiring for various roles including producers, software engineers, and CG artists. Its long-term technology strategy focuses on GenAI-enabled workflows, artist tooling, and scalable multi-show environments, with plans to eventually produce feature-quality content. While currently focused on shorts and specials, there are indications of potential expansion into longer-form content. The initiative could be used for Netflix's Clips feature or kids programming. However, the use of AI in animation has sparked significant backlash, including criticism from Hayao Miyazaki and protests at the Annecy Animation Film Festival.
Netflix is launching INKubator, a new AI animation studio focused on GenAI-driven short-form content.
The studio is led by former DreamWorks and A24 executive Serrena Iyer and is actively hiring.
AIluminode is a wieldable pre-retrieval cognitive-orientation instrument that helps AI tools check contextual posture before acting, using route polarity (OPEN, PROTECT, AUDIT, DEFER, BLOCK) to reduce erroneous exploration and context bleed.
AIluminode is a wieldable pre-retrieval cognitive orientation tool emphasizing posture before retrieval.
It uses a route polarity system (OPEN / PROTECT / AUDIT / DEFER / BLOCK) to guide contextual routing.
Axiom Math, founded by Chinese post-00s entrepreneur Hong Letong, has had 5 out of 8 AI-generated math papers accepted in peer-reviewed journals. The company raised $2 billion in March, achieving a $16 billion valuation.
Five of eight math papers generated by Axiom Math's AI system, AxiomProver, have been accepted by academic journals.
Founder Hong Letong dropped out of Stanford to start the company, which secured $2 billion in funding and is valued at $16 billion.
This tutorial builds a complete pgvector playground in Google Colab, covering installation, embedding creation, HNSW indexing, semantic search, filtered search, distance metric comparisons, half-precision storage, binary quantization, sparse vector search, hybrid retrieval, and vector aggregation. All using open-source tools without external API keys.
Set up PostgreSQL with pgvector extension in Google Colab from scratch.
Generate embeddings with SentenceTransformers and build HNSW indexes for efficient search.
The LeapQuest team at Shanghai Innovation Institute, in collaboration with multiple universities, introduces a new medical AI paradigm that enables models to actively use visual tools during reasoning, transforming from passive input receivers to active evidence seekers. Two papers are accepted at ICML 2026.
LeapQuest proposes Ophiuchus and MedScope for medical images and videos, adopting the Think with Images/Videos paradigm.
Ophiuchus-7B achieves an average score of 68.0 on 8 VQA benchmarks, surpassing o3 (62.2) and GPT-5 (59.9).
The article explores how AI is driving a paradigm shift in digital product design, moving from command-driven to intent-driven interaction, and analyzes the new challenges in product management, user experience, decision logic, release cycles, risk, and value creation.
AI represents the third user-interface paradigm in computing history, shifting from deterministic to probabilistic outputs.
Product teams must rethink the entire lifecycle from discovery to delivery; data strategy and model performance become as critical as feature strategy.
At the 2026 China AIGC Industry Summit, Baidu's Miaoda product director Zhu Guangxiang shared how AI has lowered programming barriers from writing code to chatting. 87% of Miaoda users don't know code; an 8-year-old built an OS; one-person companies (OPCs) land million-dollar contracts. Vibe Coding turns demand-side into supply-side, enabling mass entrepreneurship.
Fourth programming revolution: natural language programming, massively expanding creators
87% of Miaoda users have no coding skills; OPCs are the largest user group (16% entrepreneurs)
ElevenLabs has released Music v2, an upgraded AI music generation model that can shift between genres like opera, heavy metal, and rap within a single song. A new inpainting feature allows users to regenerate specific sections without affecting the rest.
Music v2 enables seamless genre transitions within a single song.
New inpainting feature allows targeted regeneration of specific sections.
Cognition raises $1B at a $26B valuation, projecting >$1B ARR by year-end. The article covers inference efficiency trends, agent engineering, continual learning, new benchmarks, model releases, and coding agent productization.
Cognition raises $1B Series D at $26B valuation, ARR projected >$1B by EOY.
Inference optimization shifts to architectural level: EAGLE 3.1, DeepSeek V4-Pro hybrid attention, Xiaomi MiMo cache management.
This month's AIhub digest covers AI for Science conference, lottery ticket hypothesis interview, world models discussion, transparent and trustworthy AI research, foundation model impacts report, AIES conference reflections, Robotics Café, ACL desk rejection policy, arXiv anti-AI slop policy, and more.
Interview with Ximing Wen on transparent and trustworthy AI systems
Jonathan Frankle discusses the lottery ticket hypothesis and empiricism
The Vatican's new encyclical by Pope Leo XIV defends human imperfection as a source of dignity and warns against outsourcing core human capabilities to AI, countering Silicon Valley's dismissal of human limitations.
Pope Leo XIV's encyclical 'Magnifica Humanitas' defends human finitude as a source of beauty and dignity.
The document warns against AI making moral decisions and centralizing power in tech elites.
A group of former researchers from Google DeepMind, Apple, OpenAI, and Meta have launched a startup called Trajectory, aiming to help companies continuously improve their AI products by training on real-world user interactions. The company has raised a $15 million seed round at a $115 million valuation, led by Conviction. Trajectory's platform enables continuous learning for AI models, updating them based on real-world failures. It currently works with AI-native companies like Clay and Harvey, and plans to expand to Fortune 500 companies.
Trajectory is founded by ex-Google DeepMind, Apple, OpenAI, and Meta researchers to enable continuous learning for AI.
The startup raised $15M seed funding at $115M valuation, with investors including Jeff Dean and Fei-Fei Li.
A multi-institution team built a neuromorphic computer combining quantum-tunneling physics with brain-inspired architecture to solve combinatorial optimization problems at scale, with asymptotic convergence guarantees. Published in Nature Communications, it represents a new direction in quantum-inspired computing.
Neuromorphic computer uses quantum tunneling and brain-like architecture for combinatorial problems
Based on CMOS technology with a Fowler-Nordheim annealer autoencoder
The article warns developers that while AI can accelerate coding, over-reliance on AI may deprive them of the joy of building, such as finding elegant solutions, designing clean architectures, and receiving user feedback.
AI speeds up code writing but may remove the pleasure of problem-solving.
Key experiences in development (e.g., architecture design, product releases) are hard to replace by AI.
TopRec is an AI-powered platform that helps recruiters rank candidates and build a self-maintaining CRM. It deliberately avoids being promoted as a PWA to prevent caching issues; use it as a website.
AI-based candidate ranking for efficient screening
Robinhood launches Agentic Trading, allowing customers to connect their own AI agents to automate trading and credit card purchases with safety controls and a real-time activity feed.
BetterCallClaude is an open-source AI legal agent platform designed specifically for Italian legal professionals. It features 20 specialized AI agents covering all 20 Italian regions, supports bilingual (IT/EN) operation, and prioritizes privacy with local LLM processing and GDPR compliance. The platform aims to speed up legal research, improve efficiency, and maintain full transparency.
NVIDIA CEO Jensen Huang has accepted an invitation to join the Advisory Board of Tsinghua University's School of Economics and Management (SEM). The board, chaired by Apple CEO Tim Cook, includes Elon Musk, Satya Nadella, Mark Zuckerberg, Jack Ma, and other global leaders. Huang also recently received an honorary doctorate from Carnegie Mellon University.
Jensen Huang joins Tsinghua SEM Advisory Board
Board chaired by Apple's Tim Cook, includes top tech and business leaders
This article applies Amdahl's Law to AI agents, arguing that speedup from parallel agents is bounded by the fraction of workflow requiring human judgment (H). It introduces the concept of 'self-liquidating H' where each human intervention produces an artifact that eliminates future similar interventions. Emphasizes 'configurancy'—explicit behavioral commitments and conformance suites—to encode human knowledge so agents can operate autonomously. Examples from ElectricSQL, Gas Town, and Ralph Loop illustrate the principles.
Speedup from AI agents is limited by the human judgment fraction H; reducing H is key.
Self-liquidating H: each human intervention should produce a reusable artifact (test, spec update) to prevent recurrence.
Last month at Beijing's half marathon, a robot named Lightning beat the human world record by nearly seven minutes. This is the latest in a series of AI milestones prompting questions about robots entering everyday life. China leads the charge with a pledge to invest over £100bn in robotics over the next 20 years.
Robot 'Lightning' beats human world record in Beijing half marathon.
China commits over £100bn to robotics investment over two decades.
This paper introduces Simulation-Informed Diffusion (SID), a decentralized framework using constraint-aware diffusion models (CADM) to first simulate neighbors' future trajectories and then plan own trajectories under safety constraints. SID enables a minimal communication scheme triggered only in congested scenarios and outperforms baselines, scaling to 108 robots and 160 obstacles.
SID uses CADM to simulate neighbor trajectories for decentralized collision avoidance
Minimal communication scheme coordinates only when necessary
Researchers propose a real-time asynchronous event-based monocular odometry for planetary rovers, using an Error-State Kalman Filter to process event camera data for robust ego-motion estimation under high dynamic range lighting and computational constraints.
Event cameras provide asynchronous pixel-wise brightness changes with microsecond resolution, ideal for high-speed sensing and HDR environments.
The approach uses an Error-State Kalman Filter to continuously estimate camera motion from event streams.
This paper presents a transformer-based architecture called Trinity that jointly performs class-specific semantic segmentation and class-agnostic terrain segmentation in a unified network. It segments terrain regions based purely on visual appearance without predefined labels or robot-dependent traversability scores, enabling robot-agnostic visual terrain priors for downstream tasks. The authors extend the OAISYS simulator to create the RUGDSynth synthetic dataset and provide the EXTerra real-world dataset. Experiments demonstrate the approach's effectiveness in complex outdoor environments.
Trinity architecture unifies class-agnostic terrain segmentation with semantic segmentation
Segments terrains based on visual appearance without predefined labels for better transferability