A lot of people have been asking if this can be done for their dogs and for people. I'm speaking with everyone involved to see what is possible here. If you would like to be involved, please complete the following Google form: bit.ly/4bkaowg

Half a million downloads in a month. Today, our open source family takes another step forward. Thank you for the incredible support behind our first-generation models. We’re excited to introduce TwIL-LM3-Pro. At just 3.6 billion parameters, it brings powerful reasoning to everyday computers, with quantized builds that run locally. No cloud required. In our evaluation: Formal logic: Highest recorded headline score among the small models compared—beating China’s VibeThinker-3B by 35% and Qwen3.5-4B by 24%, and Liquid AI’s LFM2.5-8B-A1B by 47%. Broader reasoning: 95% on SVAMP and 64.1% on MuSR, the highest recorded scores among the small models compared. BIG-Bench Hard’s logic subset: 95.4%, compared with VibeThinker-3B’s 61.1%. We believe AI is entering a post-training era. The advantage will increasingly belong to companies with the best pipelines and those that can produce capable, personalized intelligence faster and more efficiently, then put it on devices people already own. That’s what we’re building at webAI. And we’re only beginning to share what’s coming out of our lab. Coming soon: Meridian, our family of frontier-class models built to run on device. Our most advanced models will be available through the @thewebAI application. Join the waitlist as we expand access. Proudly built in Austin, Texas. 🇺🇸

We’re excited to announce that @ultravox_dot_ai is now part of Inworld. Ultravox is the platform developers use to build real-time voice agents. We've worked with the team for a while through our TTS partnership, and today members of the team that built it are joining Inworld to keep developing it.

Meet Ling-3.1-flash: ~560B total params, ~25B active/token, up to 1M-token context. We plan to open-source the model soon. Across work, coding & healthcare: 1,673 Elo on GDPVal-AA v2.1, 75.16 on FrontierSWE, and 65.35 on HealthBench Professional.

Announcing our $668M Series B! Led by ARCHIV with participation from @nvidia. This capital expands our GPU capacity across the U.S., Taiwan, and APAC, and scales our inference platform. Our contracted ARR has reached more than 9x since the end of 2025. Thanks to everyone who is building with us 🙏

Search that works the moment you install. @AnythingLLM now comes with @youdotcom Web Search by default, giving users fresh, accurate results with zero data retention. Private by design, fresh by default.

Introducing my building an AI-native funeral company in public series. Our generation does everything online and we care about experiences. But the one experience we’re all going to have? Still feels like a 100 years out of date. Cringe. The US has over 15,000 funeral homes. About 80% are family owned. Rising costs, staffing shortages, retiring owners. The people running these businesses are BURIED in admin while serving people in the toughest moments in our lives. So where the hell does AI come in? • Give owners one place to manage cases, staff, suppliers, and payments • Help small teams serve more families by automating routine work • Reach new customers through digital marketing and online booking • Let families customize, plan and pay for a funeral online • Expand the offering with pre-need plans, customized ceremonies and aftercare Big-company infrastructure for small funeral homes. Can we pull it off? The end goal: a personalized goodbye without the luxury price tag all over US. Let's see!