Mythos Ventures

alright I’ll bite, experiments are good @MythosVentures will offer $1.5k to be redeemed for coaching / therapy for the first 10 fellows that ask this tweet will be the only advertisement of the Heal Fellowship they should only ask if they would not otherwise have done this coaching / therapy for $$ reasons (honor system)

People have been asking how I feel about @AnthropicAI naming their latest model Mythos. I feel good about it. @MythosVentures and @AnthropicAI share many aesthetics and values. It doesn't surprise me that we'd both find meaning in this word. Mythos (μῦθος) means: - tale, story, legend, myth - plot (in Aristotle's Poetics: ἡ τῶν πραγμάτων σύστασις, "the standing-together of the things-done") - a set of beliefs or assumptions about something I named our firm Mythos because building a generational company requires telling a story about the future, over and over again, that few believe or will listen to. This is what the early days of an exponential revenue chart feel like. Ultimately that far-fetched story becomes a reality through foresight, ingenuity, and sheer force of will. The staged release of Claude Mythos marks a turning point in the story of AI. They might have instead called it peripeteia (περιπέτεια) -- "turning point" -- an essential plot element for any good drama. But this doesn't quite have the same ring to it. Mythos is a good name. Names are powerful. Finding the true name of a thing is more an act of discovery than an act of choice. For me, I first learned the word long ago -- my older brother @sachinmaini was always adamant that I study the Greek & Roman classics growing up. I was reminded of it in 2022, thinking about the future, enjoying a particularly delicious Hellenic lager while listening to house music on a beach in Mykonos. If you're American you may not have seen this bottle before (you can't easily get it in the U.S.). But now you know. Neither @MythosVentures nor @AnthropicAI were the first to discover this name. My friends, the singularity is beer.

@v_maini 🧐

ok who named this

◉ We're live with 3 compute price tickers on 350,000 @Bloomberg terminals, and landed on the desk of every major CFO in the world. On this note, it's time to bring @ComputeDesk out of stealth. Compute is a financial asset class. We believe every company in the world will have an exposure to compute. So we are building capital markets infrastructure to price, hedge, finance, insure, arbitrage and market make compute. In the last few months, we've built a mammoth compute price indexing engine, tracking bulk transacted compute prices, and the deepest compute price feeds in the market. The tickers are the tip of the iceberg. Our market intelligence terminals are where GPU infrastructure operators and lenders go to price compute, expand margin and get ahead of their competitors. The biggest compute buyers use them to source capacity, and negotiate exclusive compute rates. I would like to tell you our story and show you what else we've built. Something fun is coming.

.@GreatSkyAI just emerged from stealth w/ $14M Seed funding to provide >1,000,000x faster hardware for AI inference. @JeffShainline & team spent the past decade at NIST re-designing AI hardware from first principles 🧵 semafor.com/article/03/13/…

Can’t wait for Valinor’s models to be applied to accelerating the diagnosis and treatment of patients with neurological diseases like Alzheimer’s, Parkinson’s, and ALS. We are working with Renew to generate the most robust multimodal datasets available for these conditions.

We raised a $150M Series B at a $1.25B valuation to fundamentally change the field of AI. Scaling is powerful, but we can't intentionally design what we don't understand.

.@cosmos_inst asks a question that is sometimes forgotten: What are we building for? In a world of full of Cluely's, take a stance.

Ashlins finds proven but forgotten drugs already working off-label for rare diseases, runs lean trials, and earns FDA approval so patients can actually access them. We’re proud to lead @Jlindig0’s pre-seed with our first $1M check from Mythos Fund II. Jennifer moves with extreme speed, eliminates inefficiency at every level, recruits world-class operators, and knows how to build a repeatable engine for scaling this business. She is going to win.

Today I'm excited to announce Ashlins Pharmaceuticals’ $1.2M pre-seed round, led by @MythosVentures. We’re grateful for our investors, team, and the patient-and-physician network that believes in our mission.🚀 My first company focused on developing treatments for rare diseases. While there, I created a $45M partnership with Avalo Therapeutics and led a Phase 3 trial -- all before I turned 21. This year, after receiving the Thiel Fellowship, I founded Ashlins to reimagine how drugs for rare diseases are discovered and brought to the patients who need them. Too many effective treatments lie dormant. The activation codes are written in off-label use, when physicians attempt treatments for diseases they know to be effective but that weren’t originally approved for. But for the bravery of patients and their treating physicians, we would not have the real-world evidence that leads to therapies that can and should be approved. At Ashlins, we turn data collected out of necessity into actionable, scientific evidence for life-altering therapies. Now that we’ve launched our first program, we are advancing plans for five additional programs targeting the long tail of rare diseases by 2027. P.S. We’re also hiring a Chief of Staff. Interested candidates can reach out at huiyi@ashlinspharma.com

MYTHOS FUND II IS CLOSED ❤️‍🔥

After taking some time off post-Rapid, I'm excited to share what I’ve been up to since: @datawizzai! We’ve raised a $12.5M Seed led by @humancapital to make AI 10x cheaper, 2x more accurate and 15x faster by transitioning from LLMs to SLMs. AI is eating the world. But unit economics are eating AI. Looking at the fastest growing AI products, they all share two traits - growing fast, and painful inference bills. General-purpose LLMs are just too expensive to run. A big reason for that is we train LLMs to be good at everything - answer any question, be an expert on any topic. The big labs dub this "generalisation", but for real-world applications, it is unnecessary. In reality - many AI applications need models to be experts in one thing - and do that thing extremely well. Your coding model doesn’t need to memorize ancient recipes for Garum sauce. This is where Datawizz comes in - we sit between the AI applications and automatically create smaller (100x-1,000x) specialized models to handle specific aspects of your work. By focusing the model and combining industry-data in the distillation process - we end up with models that beat SOTA LLMs at a fraction of the cost. We created Datawizz to make AI specialized and scalable. We’re early in the journey, but have already been able to save companies 90%+ on their inference bill and speed up their apps by 10x. Excited to build better AI platforms? Join the Datawizz team (link in first comment)

we’re taking @MythosVentures from 0 to 1 (chiefs of staff)

1/ We are excited to announce SGS-1, a SOTA foundation model for physical engineering design. SGS-1 enables the creation of manufacturable CAD geometry for real engineering workflows. This example shows SGS-1 in Fusion360 CAD software creating a bracket for a roller assembly.

RT @v_maini: .@charliewu is the kind of person that forgets to take bites of his food because he's too excited talking about what his team…

this costs days of artist time and thousands of dollars KikiTora will turn the video into an explorable 3d scene for free the future does not look like the past

It might sound obvious in hindsight that enterprises urgently need a SOC 2 for AI, and insurance against agent failures. Agents fail in costly ways as they run increasing swathes of the economy. Eventually, these failures become catastrophic. But nobody was building it, so @RuneKvist @bradr and @RajivDattani did. It's been inspiring to witness this team's journey to build and launch AIUC-1 at extreme speed. AIUC is mission-critical for the post-AGI economy.

Insurance is an underrated way to unlock secure AI progress. Insurers are incentivized to truthfully quantify and track risks: if they overstate risks, they get outcompeted; if they understate risks, their payouts bankrupt them. 1/9

The work of @Monumental_Labs will be remembered for generations. How many AI companies can you say that about, with confidence?

Major news for @Monumental_Labs dropped in Fast Company today. 1/ We raised some money! Over $8m, most recently in a $7m seed round led by @alexisohanian's 776 (details below). 2/ We’ve secured our new HQ! Almost 40k sq ft in Greenpoint, Brooklyn that will become the largest fine art stone fabricator in North America (and possibly the world) when it opens this fall. 3/ And yea, we're gonna start making entire buildings in there!