Media Arts + Sciences | Royal Academy of Art | Distinguished Research @StabilityAI | Generative Media @refikanadol | NeuroAI @UCLA
Paris—The Hague
Joined July 2019
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Rish retweeted
🟥SNEAK SYMPHONY OF THE ELECTRONS 🟥
generative artworks by Herbert from the 1950s
brought into a 30 minutes immersive performance
by Huichuan Wang and an AI
World Premiere - Goldsmiths London
2027 February 5th - 3 PM (invited guest only)
public loop presentation:
February 6th and 7th, 9 AM - 6 PM
Sneak "Traces of Light"
Rish retweeted
Experimenting with the two-way “Mado (window)” that will connect the KJP exhibition in Azabudai Hills and the KJP office in Shinagawa in real time.
Rish retweeted
Price paid to acquire these companies:
Instacart: $17 billion (DoorDash)
Flipkart: $16 billion (Walmart)
Tableau: $15.7 billion (Salesforce)
Delivery Hero: $14.8 billion (Uber)
Whole Foods: $13.7 billion (Amazon)
Hugging Face: $12.9 billion (Nvidia)
Zynga: $12.7 billion (Take-Two)
Motorola Mobility: $12.5 billion (Google)
Mailchimp: $12 billion (Intuit)
Skype: $8.5 billion (Microsoft)
MGM Studios: $8.5 billion (Amazon)
Wolt: $8.1 billion (DoorDash)
GitHub: $7.5 billion (Microsoft)
ZeniMax Media: $7.5 billion (Microsoft)
Pixar: $7.4 billion (Disney)
Grubhub: $7.3 billion (Just Eat Takeaway)
Nokia phone unit: $7.2 billion (Microsoft)
Credit Karma: $7.1 billion (Intuit)
Marvel: $4 billion (Disney)
Lucasfilm: $4 billion (Disney)
Deliveroo: $3.9 billion (DoorDash)
Nest: $3.2 billion (Google)
Beats: $3 billion (Apple)
Postmates: $2.65 billion (Uber)
ezCater: $2.3 billion (Uber)
Fitbit: $2.1 billion (Google)
YouTube: $1.65 billion (Google)
PayPal: $1.5 billion (eBay)
Waze: $1.3 billion (Google)
Zappos: $1.2 billion (Amazon)
Tumblr: $1.1 billion (Yahoo)
Ring: $1 billion (Amazon)
Instagram: $1 billion (Facebook)
Twitch: $970 million (Amazon)
Grubhub: $650 million (Wonder)
MySpace: $580 million (News Corp)
ESPN: $202 million (ABC)
Android: $50 million (Google)
Venmo: $26 million (Braintree)
PowerPoint: $14 million (Microsoft)
Rish retweeted
Introducing XMAX X2.1, a real-time interactive video model by @XmaxAIOfficial, now on Reactor.
• Drag to move and pose subjects.
• Control multiple subjects at once with multi-touch.
• Swap characters, outfits and backgrounds.
Try it: reactor.inc/models/xmax-x2-1
Rish retweeted
Congratulations to the whole @readwise team. Building a store around books is one of the hardest things you can do and negotiate. Can't wait to start using it!
Introducing Readwise Books. Our third product.
Buy, read, and track all your books in one beautiful place. And so much more.
Invite-only beta is live at readwise.io/books
(readwise subscribers have access now)
Rish retweeted
Today, we’re sharing the training infrastructure behind Reve models.
In the past two years, we built and scaled our platform to support frontier-level training efforts. We're releasing this technical report as a helpful reference for other small teams building at scale.
reve.com/training-infra
Rish retweeted
A new genie is around the corner, currently awaiting approvals. Every aspect of Genie is a crafted moment, every shader, every moment is intentional. Everything crafted by hand. @geniegetsme
Rish retweeted
New Anthropic research: How AI agents shape experts' judgment calls
When experts delegate work to an agent, do they still make the key decisions? We tested this in a randomized trial with 50 professional data analysts.
Rish retweeted
Announcing three major scientific discoveries, one each in mathematics (harmonic analysis), computer science (complexity theory), and physics (quantum field theory).
AI starting to help us improve our understanding of the universe! openai.com/index/building-sc…
Rish retweeted
My top picks:
@pooool / @PietTerheyden
Mist / @normalethan
Slate & Void / @elirousso
Sundrop / @benspringwater
Spot / @briannnwagner
@zerocam_app / @novikoff
@helloweatherapp / @jonasdowney
@TideGuideApp / @itstuckermac
@retrodotapp / @nsharp17
@mymind / @vanschneider
@thecosmos / @9th
@FotMob
+1 @notboring
+1 @flighty – at Concord, MA
Rish retweeted
The most ambitious vision for interpretability has long been to reverse-engineer a model well enough to answer an arbitrary question about how it works.
For years, that’s seemed out of reach. Now, we think it’s possible. Neural networks are cleaner than we thought: we can now understand most neurons in models up to trillions of parameters. And agents can rapidly accelerate our progress.
But to get there, we need a concerted effort to unlock scaling laws for interpretability, where our understanding of a model grows predictably with compute.
That’s why we’re committing $10M to start a Human Genome Project for AI. Our ultimate goal is to reverse-engineer a frontier scale model and publish a living encyclopedia explaining how it works.
We don’t know exactly what we’ll find, and we can’t do it alone. We hope you’ll join us. Our chief scientist @banburismus_ lays out the vision here:
if any science should be revolutionised by AI, it should be interpretability. I wrote about how we can accelerate progress, and why we need a Human Genome Project for AI. coauthored with @mathildepapillo
Rish retweeted
Some seven years later, the iTunes Store is making an unlikely come-back 9to5mac.com/2026/10/26/some-… by @benlovejoy
Rish retweeted
Step into Vera Molnar’s Paris studio this weekend. @lerandomart just released a new fully playable software on their Living Timeline. You can actually run her programs on an IBM System/370 and watch the Benson plotter draw in real time. Super!
To celebrate Vera Molnar at @V_and_A
We made a new playable Timeline moment based on Molnar’s years at CIRCE Orsay Computing Centre
→ timeline.lerandom.art
Run her programs on an IBM System/370 and watch the Benson plotter draw
Rish retweeted
To celebrate Vera Molnar at @V_and_A
We made a new playable Timeline moment based on Molnar’s years at CIRCE Orsay Computing Centre
→ timeline.lerandom.art
Run her programs on an IBM System/370 and watch the Benson plotter draw
Rish retweeted
We used to buy things made one at a time.
Mass production made products cheaper and more accessible, but largely identical.
What if the future takes us back to a world where everything is one-of-one?
Autumn Moon is a limited drop in collaboration with @kelin_online & @angelaloh09 built on that idea.
Shape your lamp at joshpuckett.me/autumn-moon
Rish retweeted
Frank Dietrich in 1982: "We kept working with machines which became smaller and smaller—and at the same time, more powerful. And that is, somehow, the reward..."
Frank Dietrich & Zsuzsa Molnar, SIGGRAPH 1982 Art Exhibition Artist Interviews, 1982.
With mixed feelings, we've begun the process of letting go of our collection of artworks, books, catalogs, etc, assembled over more than 50 years.
Recently, our Harold Cohen collection was acquired in a private transaction. Step by step, piece by piece, we'll move the others on.
ALT Cover of an art show catalog curated by @HerbertWFranke in 1989. Image created by FD at West Coast University with Jim Blinn's Metaball sw in 1983.
