Wonderful has raised a $550M Series C at a $5 billion valuation. This latest funding was led by @insightpartners, with @salesforce joining as new investors and @IndexVentures, @BessemerVP, @IVP, @VineVenturesLP, and @9yardscapital returning. In 20 months since launch, we're in production with hundreds of agents, systems, and workflows across a dozen verticals in over 30 markets. With this new capital, we’ll be overdelivering for our customers, hiring hundreds of cracked engineers, FDEs, and former founders, and expanding our product capabilities across the entire enterprise. Stay tuned 👀

Not Diamond just made coding agent evals way more realistic. They simulate actual user sessions with long context, cache expiry, and messy interactions. Their router gets Opus xhigh-level quality at 20–60% lower cost. this is a pretty big deal.

this feels way different from the usual ai video stuff Visko just launched Orbis, a live model that generates and reacts to a world in real time. feels like the start of something much bigger.

> be ashton hall > built a career making viral videos > traveled the world looking for creators with potential > helped Indian Ashton Hall go from 300 to 1M+ followers > helped Ashton Small go from 300 to 900,000 followers > now he is giving ALL creators / founders the same chance > $26,000 in cash prizes > two creators / founders win $10,000 in cash + a shoutout to millions all you need to do is download linkme and post to ALL channels. you literally have nothing to loose. just start posting and go #ALLIN#

Introducing it's exactly like except 3/4th of your bid money is donated to people who don't have clean drinking water → 2.2 billion people don't have access to clean water today
→ meanwhile AI is on track to withdraw an olympic pool every 12 seconds
→ the 3/4th goes to they have helped 92 million people so far get access to clean water for life
→ you pay them directly, it never touches our account → Get marketing done, Help a Person in need, Save on taxes 
 can we get to $1,000,000 donations?

The enterprise AI stack is being rebuilt. Models are becoming more capable, and increasingly interchangeable. As AI moves from answering questions to doing mission-critical work, the constraint is no longer raw intelligence. It is organizational context: understanding how a company operates, what information matters, and what should happen next. Without that context, enterprises get shallow answers, rising token costs from sending irrelevant information to expensive models, and AI sprawl as teams adopt disconnected tools. The answer is not simply more models. It is an intelligence layer that understands the organization and routes each task to the right model, agent, and workflow. That is the thesis behind the 50+ new features we’re announcing today at @Glean:GO, including: 𝗚𝗹𝗲𝗮𝗻 𝗧𝗮𝘂: A new governed desktop AI workspace that combines an open agent harness with your enterprise context, unifying local files, applications, browser workflows, and code repositories in one workspace. That context is what lets agents delegate complex, multi-step work and deliver better performance, while respecting permissions. 𝗚𝗹𝗲𝗮𝗻 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: Uses organizational context to route each task to the right model, while giving enterprises control over quality, usage, and cost. Our benchmark found that Glean reduced token costs by 81% as compared to Claude Cowork, and was preferred 78% of the time. 𝗚𝗹𝗲𝗮𝗻 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺: Built on your Enterprise Graph, it understands how work happens across your organization, identifies the best opportunities for AI, recommends the right agents and skills, and measures the impact on your business.  To help us announce these new capabilities, I’m looking forward to being joined by leaders from some of the world’s most innovative organizations, including @GM, @nvidia, @Snowflake, and @OpenAI, who will share how they are using Glean in mission-critical workflows. See you today at Glean:GO in San Francisco and online.

Gatik might be one of the few companies that actually cracked autonomous trucking. - 100k+ fully driverless orders - $600M in contracted revenue - daily commercial routes, no driver or safety observer - just joined NVIDIA's safety inspection program to help scale it further and Loblaw alone is rolling out 50 of these trucks across Toronto by the end of this year. their own VP called it the largest autonomous truck deployment in North America.