AI Startups and the Legal Risk of Getting It Wrong Aiiot Talk

AI Startups and the Legal Risk of Getting It Wrong Aiiot Talk

IoTJanuary 30, 202619Views 0Likes 0Comments

Artificial intelligence (AI) is exploding. There were 5,509 AI startups in the US between 2013 and 2023. And according to Statista, they’re receiving a massive amount of funding. “ In 2024, AI startups received more than $0.5 trillion and raised over $100 billion. “ In 2024, AI startups received more than $0.5…

Managing Secrets and API Keys in Python Projects (.env Guide)

Data AnalyticsJanuary 30, 202616Views 0Likes 0Comments

Image by Author # Introduction to Keeping Secrets Storing sensitive information like API keys, database passwords, or tokens directly in your Python code is dangerous. If these secrets are leaked, attackers can break into your systems, and your organization can suffer loss of trust, financial and legal consequences. Instead, you should externalize secrets…

Thinking Machines Lab Makes Tinker Generally Available: Adds Kimi K2 Thinking And Qwen3-VL Vision Input

AI NewsJanuary 30, 202617Views 0Likes 0Comments

Thinking Machines Lab has moved its Tinker training API into general availability and added 3 major capabilities, support for the Kimi K2 Thinking reasoning model, OpenAI compatible sampling, and image input through Qwen3-VL vision language models. For AI engineers, this turns Tinker into a practical way to fine tune frontier models without building distributed training…

AI world model now available for Ultra users in U.S.

OpenAIJanuary 30, 202615Views 0Likes 0Comments

In August, we previewed Genie 3, a general-purpose world model capable of generating diverse, interactive environments. Even in this early form, trusted testers were able to create an impressive range of fascinating worlds and experiences, and uncovered entirely new ways to use it. The next step is to broaden access through a dedicated, interactive prototype…

Ant Group Releases LingBot-VLA, A Vision Language Action Foundation Model For Real World Robot Manipulation

RoboticsJanuary 30, 202622Views 0Likes 0Comments

How do you build a single vision language action model that can control many different dual arm robots in the real world? LingBot-VLA is Ant Group Robbyant’s new Vision Language Action foundation model that targets practical robot manipulation in the real world. It is trained on about 20,000 hours of teleoperated bimanual data collected from 9…

AI That Can Think Like a Human—How Close Are We? Aiiot Talk

IoTJanuary 25, 202619Views 0Likes 0Comments

Artificial Intelligence has come a long way in recent years. From chatbots that answer questions to AI systems that compose music or create art, machines are beginning to mimic some aspects of human intelligence. But one question fascinates scientists, technologists, and the general public alike: Can AI really think like a human? “AI can mimic…

Integrating Rust and Python for Data Science

Data AnalyticsJanuary 25, 202618Views 0Likes 0Comments

Image by Author # Introduction Python is the default language of data science for good reasons. It has a mature ecosystem, a low barrier to entry, and libraries that let you move from idea to result very quickly. NumPy, pandas, scikit-learn, PyTorch, and Jupyter Notebook form a workflow that is hard to beat…

Salesforce AI Introduces FOFPred: A Language-Driven Future Optical Flow Prediction Framework that Enables Improved Robot Control and Video Generation

AI NewsJanuary 25, 202615Views 0Likes 0Comments

Salesforce AI research team present FOFPred, a language driven future optical flow prediction framework that connects large vision language models with diffusion transformers for dense motion forecasting in control and video generation settings. FOFPred takes one or more images and a natural language instruction such as ‘moving the bottle from right to left’ and predicts…

D4RT: Unified, Fast 4D Scene Reconstruction & Tracking

OpenAIJanuary 25, 202615Views 0Likes 0Comments

Introducing D4RT, a unified AI model for 4D scene reconstruction and tracking across space and time. Anytime we look at the world, we perform an extraordinary feat of memory and prediction. We see and understand things as they are at a given moment in time, as they were a moment ago, and how they are…

Generalist AI Introduces GEN-θ: A New Class of Embodied Foundation Models Built for Multimodal Training Directly on High-Fidelity Raw Physical Interaction

RoboticsJanuary 25, 202667Views 0Likes 0Comments

How do you build a single model that can learn physical skills from chaotic real world robot data without relying on simulation? Generalist AI has unveiled GEN-θ, a family of embodied foundation models trained directly on high fidelity raw physical interaction data instead of internet video or simulation. The system is built to establish scaling…

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