Mike Wilner (@mwil20) header
Mike Wilner (@mwil20) profile picture

Startups @ OpenAI | ex- @AWS | @ventureforamerica alum.

New York, NY
Joined July 2012
Photo by Mike Wilner (@mwil20)Photo by Mike Wilner (@mwil20)Photo by Mike Wilner (@mwil20)Photo by Mike Wilner (@mwil20)Photo by Mike Wilner (@mwil20)Photo by Mike Wilner (@mwil20)Photo by Mike Wilner (@mwil20)Photo by Mike Wilner (@mwil20)Photo by Mike Wilner (@mwil20)Photo by Mike Wilner (@mwil20)
In the past 3 yrs, I've coached 1K+ founders through raising seed rounds with workshops and courses I've run with @AWSstartups and @beondeck, so I'm going to distill it into a 🧵 Being ready to fundraise requires you: 1/ Have a strong narrative 2/ Run a strategic process 1/25
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Mike Wilner retweeted
today, we launched 3 new education plugins for ChatGPT Work and Codex: K–12 Educator, College Educator, and College Student. available in edu & k12 workspaces! guided workflows grounded in the materials you choose—while keeping people in control. openai.com/index/learn-teach…
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Based on everything I know and I've seen, @mitch_troy is pretty prescient when it comes to where AI and long-horizon agents are going. People clamor about how Basis does evals, and it's awesome to see this published out in the wild!
Out of the box, long-horizon agents struggle to accurately perform end to end work in the real economy (outside of coding) because those tasks are not easily verifiable, the data is hard to scale, and going from inputs to real outcomes can actually take many days. Even if you had a reliable way to verify outcomes at scale (and weren’t bothered by the multi-hour iteration loops), the sheer volume of decisions by the agent that occur in a multi-hour job makes it hard to know whether performing well will generalize to production. Over the last two years at @trybasis, we've been solving this problem by supervising the process our agents take to get to outcomes, rather than just looking at whether the outcome itself is correct. We think this is the key to building production agents at scale. It's what has allowed us to run agents in production that operate for hours, sometimes days, and reliably perform tasks like entire complex tax returns end to end. Today, alongside @braintrust, we're open sourcing a standard for defining, evaluating, and eventually rewarding agent behaviors. Thread below with all the details on how we’re scaling behaviors to close the loop for long-horizon agents.
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I never thought a short film about accounting would make me feel emotions
Excited to share our "Ode to Accounting" short film. It's a tribute to the profession, tracing accounting's 10,000-year arc from clay tokens to double-entry to AI agents. Accounting's next chapter is being written now, by the people doing the work. It's their era to shape.
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Come work at @trybasis for unlimited tokens + limited mics. (But we bought them all before the shortage so dw).
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Decent Stevie Wonder impression
TRENDING: #Eagles first-round wide receiver Makai Lemon has gone viral for his interview after he was drafted. Lemon was originally projected to be a top 10 pick, but fell significantly due to his attitude and the way he portrayed himself in public. 👀
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I spend most of my time showing startups how to get the most out of our models and API. But working with @mitch_troy and the Basis team has shown us what our models can do in ways we didn't know were possible. If you want to see the future of applied AI, work at/with Basis!
Excited to announce this milestone. We are deploying long-horizon agents at scale that can do real work in the real economy. Our agents can already operate reliably for hours at a time and I expect that to be days by the end of the year. We can barely keep up with demand. If you want to come join and work at the frontier for the most intense, fast-paced couple years of your life, send me a note.
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Mike Wilner retweeted
Today we’re announcing Pace has raised $10M led by Sequoia to build the AI operations partner for the world’s leading insurers. Insurance exists to do something remarkable: turn uncertainty into security. But between that sits an enormous amount of operational friction: processing submissions, servicing policies, and adjudicating claims. Leading insurers have already completed tens of thousands of these complex insurance transactions with @pacecom agents in production. Check out our team showing what this looks like in practice: agents which work across systems and modalities to complete work end to end.
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Been following the slingshot team closely and super excited to see this launch in the wild!
They said it couldn't be done. They said it *shouldn't* be done. We tried anyways. Today we're launching Ash, the first AI designed for therapy, and announcing $93M in funding from @radicalventures @ForerunnerVC @a16z @felicis @trailmixvc @joinsequel and many more. We've had 50k people using it, with pretty transformative results. Here's my co-founder @danielreidcahn telling our story. Link to Ash below.
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Mike Wilner retweeted
They said it couldn't be done. They said it *shouldn't* be done. We tried anyways. Today we're launching Ash, the first AI designed for therapy, and announcing $93M in funding from @radicalventures @ForerunnerVC @a16z @felicis @trailmixvc @joinsequel and many more. We've had 50k people using it, with pretty transformative results. Here's my co-founder @danielreidcahn telling our story. Link to Ash below.
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Everyone's trying to do their own consulting/fractional work these days, and I get a lot of questions about how to set rates. Here's the total compensation framework I use to help people set their rates and avoid common mistakes.
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As you get going, you can eventually move into value-based pricing to earn even more, but that's a 201 topic. Starting with your hourly rate first is a good place to start.
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I'm starting to put more insights to paper from helping hundreds of consultants and freelancers grow their biz. For now, here's a quick playbook that gets into gow to grow a service business via referrals. meetupside.com/playbook-buil…
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