Wednesday, July 15, 2026

The AI Times

Your Daily Artificial Intelligence BriefingYour Daily AI Briefing

Welcome Inkling by Thinking Machines

Inkling, a large open model developed by Thinking Machines, has been released on Hugging Face, featuring 1 trillion parameters and the ability to natively accept image, text, and audio inputs. This multimodal model is designed for reasoning across different modalities and supports 1 million context windows. It has potential applications in building multimodal reasoning apps through domain adaptation via fine-tuning.

Hugging Face Blog · July 15, 2026
Welcome Inkling by Thinking Machines

AI Isn’t Smarter Than a Baby—Yet

AI Isn’t Smarter Than a Baby—Yet

Researchers are studying how babies learn and interact with their environment to improve artificial intelligence models, which currently require vast amounts of data and energy to function. A new test, the EgoBabyVLM Challenge, highlights the limitations of current AI models in learning from real-world, messy data. By mimicking the way babies learn, AI models could become more efficient and effective.

Wired - AI · Jul 15
Thinking Machines Lab Drops Its First Model

Thinking Machines Lab Drops Its First Model

Thinking Machines Lab, a startup founded by ex-OpenAI executives, has released its first AI model called Inkling, an open-weight model capable of advanced reasoning and coding. Inkling was trained from scratch to process audio, video, and text inputs and can be downloaded and modified by researchers and startups. The release marks a significant step for Thinking Machines in the competitive AI landscape.

Wired - AI · Jul 15
Thinking Machines amps up its bet against one-size-fits-all AI with its first open model, Inkling

Thinking Machines amps up its bet against one-size-fits-all AI with its first open model, Inkling

Thinking Machines Lab has released its first open AI model, Inkling, which allows outside developers to modify it directly, marking a shift away from one-size-fits-all AI models. Inkling is a mixture-of-experts system with 975 billion parameters and can reason across text, image, audio, and video. The model is designed to give calibrated answers and can be fine-tuned by organizations for their specific needs.

TechCrunch - AI · Jul 15
Suno snatched millions of songs from YouTube, Genius, and Deezer

Suno snatched millions of songs from YouTube, Genius, and Deezer

Suno, an AI music generator, was trained using millions of songs and lyrics scraped from YouTube, Deezer, and Genius, according to data obtained from a hacking incident. This revelation comes as Suno faces lawsuits alleging the use of copyrighted materials in its training datasets. The incident raises questions about fair use and copyright infringement in AI music generation.

The Verge - AI · Jul 15
What building Shippy taught us about building agents

What building Shippy taught us about building agents

Researchers have developed Shippy, a maritime AI agent designed for high-stakes decision-making, and outlined the architecture and lessons learned from its development. Shippy is built to provide reliable and trustworthy responses, with a focus on staying within its limits and handling a wide range of tasks. The agent's design can be applied to other environmental platforms, enhancing their capabilities and trustworthiness.

Hugging Face Blog · Jul 15

Outside Your Bubble

SpaceX slips below its $135 IPO price ahead of Starship launch

SpaceX's stock price has fallen below its $135 IPO price ahead of a crucial Starship launch, following a steady decline since its blockbuster June 12 IPO. The company's shares have lost value nearly every week since reaching a high point of over $200, with a small float and immense attention contributing to wild swings. A prolonged downturn could have wider effects on the tech industry and upcoming IPOs.

TechCrunch - AI · July 15, 2026