Liquid AI Releases LFM2.5-VL-3B: A 3B Vision-Language Model That Reads Screens, Grounds Objects, and Calls Tools On-Device

Yesterday, Liquid AI released LFM2.5-VL-3B. It is a 3.1B-parameter vision-language model built for on-device deployment. The model reads digital screens across mobile, web, and desktop. It grounds objects to coordinates, parses documents and charts, and calls tools from text or image input. Liquid AI reports an average of 69.4 across 28 vision benchmarks. That matches…

Read Full News

Who really needs a cocktail robot?

Bartesian’s cocktail makers would be best described like a Keurig or Nespresso machine, but for alcoholic drinks. The Bartesian Duet model that I tested certainly lives up to that description — it’s really easy to serve a bunch of different cocktails with the push of a button, plus your own liquor. But as I sipped…

Read Full News

Can social media start over? Bluesky’s CEO and COO deliver their case at TechCrunch Disrupt 2026 

The next era of social media might not be defined by a platform — it could be written by a protocol. That’s the bet Bluesky is making, and at TechCrunch Disrupt 2026, two of its leaders steering that bet will make their case in person.  Toni Schneider became Bluesky’s permanent CEO after leading the company on an interim basis since March. He’s joined by COO Rose Wang, who has been…

Read Full News

Why Stream ring-maker Sandbar says the way forward for AI wearables is voice

AI notetaking {hardware} has taken off over the previous couple of years, with credit-card-sized gadgets, pendants, pins, and even transcribing earbuds all promising to seize your conferences and switch them into summaries and motion gadgets. Now, a complete wave of wearables — rings particularly — are betting individuals wish to seize stray ideas and concepts the identical method.  One of…

Read Full News

Dyna Robotics Introduces Dyna-2: A World-Action Model Pre-Trained on 1 Million Hours of Human Video

Dyna Robotics has released Dyna-2, a world-action model for robot manipulation. It was pre-trained on more than one million hours of egocentric human video. That is roughly 170 years of continuous waking experience. Robot learning has been bottlenecked by action-labelled data, which teleoperation must deliberately produce. Dyna-2 tests whether ordinary human video can substitute. The…

Read Full News