AI billing has gotten too opaque for companies to take vendors at their word.
That’s where @Vauditapp comes in. We independently audit AI billing and usage so companies can see what they’re actually paying for.
Thank you @theinformation and @LauraBratton5 for the coverage.
🔗https://t.co/lrFLmXAizP
Every kid grows up wanting to buy an NBA team on the other side of the country, strip it for parts and alter the lives of a lot of hard working people who have actually done things for this city.
Will be a hell of a commencement speech.
I have indeed been let go after 18+ years with the @trailblazers. My sincerest thanks to all of you who have read/listened/watched/engaged with my work over the years.
Random thoughts after that game:
1. That was gorgeous hoops. Made me want to go to the park for some runs after work.
2. Thunder are still the better team, run such a well-coordinated offense. Wemby is simply God-like.
3. My poor Blazers will never win in this Western Conference.
The research journey to create diffusion LLMs has been 10+ years in the making. My cofounders and I have been at the forefront of this work, from score-based generative modeling to SEDD to Mercury 2. @amplifypartners put together an excellent deep dive:
https://t.co/fc0nAsDKKw
Everyone's talking about AI taking jobs.
How about AI that's actually helping people do their jobs more safely and successfully?
Meet Multitude Insights.
We met Matthew White and Akihiko Izu several years ago as they were building something different — a platform that helps police officers connect the dots between crimes and solve cases faster. This is exactly the kind of AI we believe in at VSC Ventures: not flashy, not hype-driven, but deeply practical technology making a real difference in the field.
@JayKapoorNYC, Maggie Philbin, and I have worked hand in hand with Matt and Aki ever since — helping them sharpen their positioning and build awareness. That collaboration led to national media attention, earning coverage in the Wall Street Journal and Boston Globe, because stories like this deserve to be told.
Today, we're excited that the company has raised its Series A and welcome @JasonrShuman to the 'ride-along' with existing investors Commonweal Ventures and Counterview Capital.
This is what "Dirty Jobs AI" looks like — AI applied to the essential, unglamorous, and critically important work that keeps communities safe. It's not always the sexiest investment thesis, but it's the one we keep coming back to because it just makes sense.
Another day, another case closed:)
Mercury 2 is live 🚀🚀
The world’s first reasoning diffusion LLM, delivering 5x faster performance than leading speed-optimized LLMs.
Watching the team turn years of research into a real product never gets old, and I’m incredibly proud of what we’ve built.
We’re just getting started on what diffusion can do for language.
Mercury 2 is live.
The world's first reasoning diffusion LLM – 5x faster than leading speed-optimized autoregressive models.
Built for production: multi-step agents without delays, voice AI with tight latency budgets, instant coding feedback.
Diffusion-based generation enables parallel refinement, not sequential tokens. Faster. More controllable. Dramatically lower inference cost.
Available today on the Inception API.
@dinabass has the story in @business.
"It's now or never."
Our CEO @stefanoermon on why he started Inception – featured this week in @WSJ.
We're building dLLMs that generate tokens in parallel. Faster. More efficient. More controllable.
This is the moment. Thanks for the coverage @KateClarkTweets
https://t.co/q3YdlfBO0x