Empromptu raises $2M pre-seed to help enterprises build AI apps
Empromptu claims all a user has to do is tell the platform’s AI chatbot what they want — like a new HTML or JavaScript app — and the AI will go ahead and build it.
Empromptu claims all a user has to do is tell the platform’s AI chatbot what they want — like a new HTML or JavaScript app — and the AI will go ahead and build it.
This article is for vibe coders and developers seeking private, fast, and affordable AI coding solutions.
What recruiters are looking for in machine learning portfolios The post Don’t Build an ML Portfolio Without These Projects appeared first on Towards Data Science.
Led by Naveen Rao, the former head of AI at Databricks, the new hardware startup is valued at $4.5 billion.
As expected and following multiple reports, OpenAI officially announced the GPT-5.2 model. For those unaware, it’s a product that the company fast-tracked out of the heat it’s facing from the success of the latest models from Google and Anthropic. Not to forget, the GPT-5.2 is OpenAI’s second biggest update since the company officially launched GPT-5 in August. GPT-5.2 is here with improved raw performance results In the announcement, OpenAI describes GPT-5.2 as its “most capable model series yet […]
I founded Moonshine back in 2022, together with Manjunath, another engineer and researcher. My entire career up until that point had been working on consumer products, so I felt very comfortable with how those are sold, and I thought to myself “How hard can B2B sales be?”. The answer, of course, is very hard! My investors knew that before I did, and pushed me to hire a senior sales person to make up for my lack of experience. […]
TIME Magazine has named the ‘Architects of AI’ its Person of the Year, who include Jensen Huang, Elon Musk, Sam Altman, Mark Zuckerberg, Lisa Su, Dario Amodei, Demis Hassabis, and Fei-Fei Li
From idea to impact : using AI as your accelerating copilot The post How to Develop AI-Powered Solutions, Accelerated by AI appeared first on Towards Data Science.
If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science parlance, the molecule is “symmetric,” meaning the fundamental structure of that molecule remains the same if it undergoes certain transformations, like rotation. If a drug discovery model doesn’t understand symmetry, it could make inaccurate predictions about molecular properties. But despite some empirical […]
Thomas Massie shows the way The post Is there an Epstein connection to our Downsize strategy? appeared first on Downsize DC.