Calvin Beighle

[Calvin Beighle @CalvinBeighle]

@aidangch @attentioninc beautifully done

[Aidan Guo @aidangch]

A billion people produce the most valuable dataset in the world every day – and delete it every night.

We’re recording it.

Introducing @AttentionInc

[Calvin Beighle @CalvinBeighle]

Lets go Coast!! this is super valuable data for agents

[Aidan Guo @aidangch]

A billion people produce the most valuable dataset in the world every day – and delete it every night.

We’re recording it.

Introducing @AttentionInc

[Calvin Beighle @CalvinBeighle]

🚀🚀

[tinah @tinahhong]

Tech has decided that regulation is the enemy of progress, but innovation requires capital

Regulation builds the trust necessary to inject billions into markets

To enable free innovation, Andera raised a $37M series A led by Lightspeed to scale financial oversight with agents

[Calvin Beighle @CalvinBeighle]

Congrats on launch!

[Nim Ravid @Nim_Ravid1]

Introducing Aidan, your newest AI employee

Aidan is the first computer-using AI built for realtime conversation

We’ve raised $45M from @sequoia and @8VC to bring Aidan to the world

@NotionHQ and @DecagonAI already use Aidan to run customer interactions. This is how @withsableai works:

[Brendan (can/do) @BrendanFoody]

Mercor crossed $2B in ARR in June, just 4 months after hitting $1B in ARR.

The civilization-scale effort to collect data is underway.

[Calvin Beighle @CalvinBeighle]

!!!

[General Intuition @gen_intuition]

Introducing MIRA.

A playable, multiplayer world model.
A dream of Rocket League.

Trained on 10k hours of data collected with publicly available bots, MIRA learns the dynamics of a four-player game. The model runs in real time at 20 fps, based on the keys you and the other players press.

Built by General Intuition and @kyutai_labs, in collaboration with Epic Games. Not used to develop Rocket League.

▶️ Play the demo, read the technical report, and explore the open-source code at https://t.co/JjlsamGE1D

At ICML? Find us at Booth 111 to try it yourself and dig into the results with the team.

[Calvin Beighle @CalvinBeighle]

Incredible and inspiring. @czhu1729 @robertwachen

[Etched @Etched]

We're coming out of stealth.

We've built our first racks after a successful A0 tapeout, $1B+ in customer contracts, and $800m raised.

Early customer tests show us achieving SOTA throughput, latency, and power efficiency on inference workloads.

Our first racks ship this summer.

[Guinness Chen @guinnesschen]

Bro it’s June 2026. Stop hand editing your prompts. Hold down the dictation button and ramble for 10 minutes. Give the model every fragment, caveat, example, and vibe in your head. It is literally a large language model. If it’s superhuman at anything, it’s reconstructing latent intent from language.

[Calvin Beighle @CalvinBeighle]

📈📈📈

[Poke @interaction]

Say hi to Poke Ultra! 🌴

The ultimate Poke experience, with frontier intelligence powering every action.

Also, starting today:

Poke can now create & deploy websites on
https://t.co/mCmmrugt1t!

[Ebrahim H @axi_master]

Today, @aadityasubedi_ and I are excited to introduce @architectlabs.

We are building the AI system to design and provably verify chips for the world's most demanding workloads.
AI scaling is fundamentally changing the economics of hardware infrastructure. As models scale, become more capable, and more widely deployed, the bottleneck is shifting from software and models alone to the physical infrastructure that runs it: specialized compute, memory, networking, interconnects, and full-stack system design.

General-purpose hardware is no longer enough, and the world is racing to spin up new chip programs. This is not just true across datacenter training and inference, but everywhere AI enters the physical world: robotics, autonomous systems, spatial computing, defense, personal devices, industrial automation, and scientific instruments.

But designing a chip today remains one of the most gated efforts in modern technology.

A modern chip program takes years, costs hundreds of millions of dollars, and depends on a shrinking pool of expertise concentrated inside a small number of companies.

Architect Labs is a foundational lab building an AI system that designs and provably verifies chips end-to-end. We partner with semiconductor and workload companies, AI labs, and nations to turn demanding workloads into purpose-built chips, on demand at scale. We aim to drastically accelerate chip design, so that the models, software and chip designs can co-evolve together, accelerating the industry’s path to superintelligence.

Two decades ago, the fabless revolution made it possible to build a chip company without owning a fab. TSMC made world-class manufacturing available to anyone with a design. We aim to do the same for chip design itself: enable any organization with a workload, or specification, to get a purpose-built chip design that unlocks scale and distribution of intelligence impossible with current hardware paradigms.

Our founding team collectively has taped out 80+ production chips, led $10B datacenter product lines, been core contributors to Meta’s AI silicon, architected and designed one of the first neuromorphic chips out of Intel, led research teams at Anthropic, xAI, and Google DeepMind, and contributed to fundamental AI research across nearly every frontier lab.

We have already partnered with semiconductor companies to accelerate their chip programs, and some of our AI-generated chip designs are going to tape out on leading-edge foundry nodes later this year.

We’ve also raised a $24M seed round led by @stevejang from @KindredVentures , with participation from @TQVentures , @RaceCapital , @scaletogether , @ora, and Link Ventures.

We are grateful for the support of our angels and advisors, including @snsf , @lukaszkaiser , @AravSrinivas , Kunle Olukotun, @tlbtlbtlb, @alexwg, Siddharth Nath, Thierry Tambe, @arashf , @ekaurghar, @CHHubbell, Selene Casabal, @semiDL , and engineering leaders from OpenAI, NVIDIA, Google DeepMind, Intel and more.

The next great scaling law may not come from the models alone. It will come from making the physical substrate of intelligence programmable. We exist to bring this future to life.

[Calvin Beighle @CalvinBeighle]

@architectlabs Congratulations guys!

[Ananya Chadha @AnanyaChadha]

It's official — I'm excited to announce Quander and our $3M pre-seed led by Accel.

Quander is the optimists' AI Product lab, to turn
ideas -> businesses.

We’re building AI tools for a "company factory" with 3 core products to:
- Validate
- Build and
- Distribute businesses.

To allow people around the world, no matter their backgrounds, to build real wealth for themselves and their families.

Check out our thesis at https://t.co/goyD5Y2TKK and tag your friends, we're hiring!

[Calvin Beighle @CalvinBeighle]

@ananyachadha Congratulations, Ananya! Am excited to see Quander in action

[Calvin Beighle @CalvinBeighle]

Why is salesforce in the conversation at all

Something like CoreWeave or Mercor is way more relevant in decades to come

[Chubby♨️ @kimmonismus]

Trump and the AI ​​CEOs are currently meeting. Judging by his facial expression, Sam seems to be enjoying himself more than Dario.

[Calvin Beighle @CalvinBeighle]

@midjourney Long time fan. Would love to come

[Calvin Beighle @CalvinBeighle]

SWSH BABYYYY

Congratulations @ali_debow @WeilynChong !!

[Ali Debow @ali_debow]

We're excited to announce a $4M Seed round led by @GameChangersVC, with support from incredible investors including @scooterbraun, @GuyOseary, @stellation, @SignalFire, @MaCVentureCap, and others.

A few years ago, while hosting community events and testing early products, my co-founders @WeilynChong, @NathanAhn, and I noticed a consistent pattern.

After every event, people asked the same questions:

Where are the photos? Who captured that moment? How do I reconnect with the people I met?

https://t.co/hxhuPkNM3O

[Calvin Beighle @CalvinBeighle]

@markiewagner @PoeticHQ Amazing!!

[Calvin Beighle @CalvinBeighle]

Woohoo Markie!!

[Markie Wagner @markiewagner]

Introducing @PoeticHQ: a new AI system that executes complex multi-hour tasks with 99%+ accuracy and 10x fewer tokens than agents.

We raised $50M at $500M from Kleiner Perkins, Founders Fund, First Harmonic, and Genius Ventures to build AI that does complex work inside Fortune 500 companies without hallucination.

While code is too brittle, agents are too unpredictable. The work that runs the global economy - anti-money laundering, fraud investigations, underwriting - needs extreme accuracy.

So we built a new kind of software that pairs the flexibility of AI with the predictability of code.

When the world stays the same, Poetic runs fixed code: fast, cheap, identical every time. When the world changes, Poetic uses AI to regenerate its approach and find its way back to the objective.

In one year, we went from zero to an eight-figure run rate as a team of four.

Since then, we’ve scaled the team and executed the highest-stakes processes at AIG, SoFi, and Chime. At SoFi, a large US bank, Poetic reached 99%+ quality on fraud investigations in five weeks.