RackSavant.tiff

Creative Incubatorist. Stochastic.

[Jacob @jvboid]

paper: https://t.co/6u7Zh7kW5o
code: https://t.co/qOnKz5NQsQ
docs + runnable examples (cartpole, vehicle fleets, hospital model, brain connectivity, more): https://t.co/6hmO6Bq3Wu

$ pip install canvas-engineering

8/8

[Alexandr Wang @alexandr_wang]

some exciting new work from our AI teams at Meta on non-invasive brain computer interfaces!

[Imade. @ImadeIyamu]

DoorDash AI Research Fellowship

3-month paid fellowship (extendable to 6 months) paying $8,500–$16,000/month & housing stipend

Includes relocation support & compute access
https://t.co/hFRwlAXyhU

[RackSavant.tiff @PRTiffany]

Our Coachella. @databricks

[RackSavant.tiff @PRTiffany]

@databricks

[RackSavant.tiff @PRTiffany]

I want something just like this #chainsmokers

[RackSavant.tiff @PRTiffany]

I want something just like this #chainsmokers

[RackSavant.tiff @PRTiffany]

@Kate__Finley shows us how to fold tshirts into ballpark hotdogs! 🌭 ⚾️ Thanks for hosting such an educational event, @LetsGetLexi and @hunterpence! #PlantaTree #healthyplanetproject

[Doge Tipping @Dogetothemoon]

@SpaceX Elon became the first trillionaire in the world be like

[Michelle Sun @michellelsun]

The bottleneck of frontier robotics isn’t compute, labeling, or the models themselves.

It’s data collection.

While language models scaled effortlessly on open internet text, robotics requires physical trajectories, motor torques, and tactile forces that cannot simply be scraped from a webpage.

Every token has to be fought for.

Here is a breakdown of the 7 data types shaping the industry today, each representing a trade-off between collection cost and action-label purity:

1. Real Teleoperation (AgiBot World, DROID). Collected by humans guiding hardware, it scales linearly with human hours.

2. Low-cost Capture (Mobile ALOHA, UMI handheld). It drives collection cost down while keeping real physics, though it introduces an embodiment mapping problem when transferring human hand actions to robotic joints.

3. Fleet / Deployment Data (Tesla Optimus, Figure). These are trajectories from robots already working in the field. Tesla is betting its automotive fleet infrastructure transfers to Optimus. It generates powerful, real edge cases, but requires scaled deployment.

4. Simulation (NVIDIA Isaac Sim, Genesis). While offering near-infinite scale, the sim-to-real gap still struggles to model contact-rich dynamics like slipping, twisting, friction.

5. World-Model Synthetic (NVIDIA Cosmos 3). NVIDIA just shipped Cosmos 3, which natively outputs action trajectories, not only video pixels. If a world model can accurately simulate the laws of physics natively, it reduces the need for manual teleop data drastically.

6. Egocentric video (Ego4D, Meta’s Project Aria). First-person human video captured with head-mounted rigs. Far more scalable than teleop and closer to a robot’s own viewpoint. Still carries no robot action signals on its own.

7. Internet video (Youtube, TikTok). Maximum scale, lowest cost, effectively free. It captures the widest range of objects, tasks and physical situations, but with zero action labels and (mostly) a third-person viewpoint.

Collecting data is only the step one.

The next great execution challenge is engineering a coherent training recipe that can blend these heterogeneous data sources into a single model.

[elvis @omarsar0]

// Self-Harness: Harnesses That Improve Themselves //

(bookmark this one)

Most of the agent scaffolds we rely on today are built once and remain frozen or mostly unchanged.

The harness, like the skills, needs to evolve with new models.

What if the scaffold rewrites itself?

This new work treats the harness, the prompts, tools, and control flow around the model as a learnable artifact that improves from its own runs rather than staying a fixed wrapper you hand-maintain.

The scaffolding becomes the part that compounds, run after run. If you run long-horizon agents, a self-modifying harness turns scaffold upkeep from manual work into something the system earns on its own.

Paper: https://t.co/byh1MP99xU

Learn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX

[Bhavyam Arora @AroraBhavyam]

YC closed. a16z closed. Techstars closes in 10 days. ⏳

If you're an early-stage founder serious about getting funded, here's what's still open + their criteria:

- @techstars Jun 10 deadline ($220k, 3 months, remote-friendly)
- @join_ef London Jun 21, Bangalore Jun 22 (pre-idea ok, no team needed)
- @betaworks Camp apps open now for Aug session (up to $500k, AI-native, NYC)
- @hf0 rolling - $1M uncapped SAFE for 5% (repeat/technical founders only)
- @AlchemistAcc rolling - 6 months (B2B enterprise only)
- @EWOR_official rolling - €500k, Europe-first (0.1% acceptance)
- @joinstationf rolling - backed by OpenAI + Anthropic + Google
- @100X_VC bi-annual - India-based founders only (₹1.25cr via iSAFE)
- @AIGrant rolling - $250k SAFE + $600k+ credits
- @allen_ai rolling - up to $600k + $1M compute credits (AI-first)
- @ConvictionVC Embed - rolling ($150-250k + $1M+ credits)
- @southpkcommons Fall apps opening this summer ($1M, 7%) 🆕

Follow @AroraBhavyam for more content around Startups, Investments and AI! 🫡

[1752vc @1752vc]

15 Idea Stage Investors

@HarpoonVentures — $100k–$5M Early-stage investor focused on national security technologies

@1752vc — $100k Invests in early-stage tech

Julian Capital — $750k Deeptech seed fund

@AntlerGlobal — $125k Invests at day zero, pre-idea/pre-team

@BlackFlagVC — $100k–$1M Invests in early-stage tech and high-growth startups

@FirstMileVC — $100k Invests in early-stage tech and AI startups

@outsetcap — $200k–$400k Backs early-stage startups building innovative technology solutions

@redbudvc — $50k–$150k Early-stage tech investor

@SusaVentures — $1M–$2M Focused on data-centric, moat-driven startups

@1517fund — $50k–$400k Provides R&D checks for technical founders

@1UpFund — $500k Invests in gaming and VR startups

@500GlobalVC — $100k–$5M Focused on fintech and AI

@7wireventures — $100k–$5M Invests in healthcare startups

@8bitcapital — $100k–$1M Focused on software tools with network effects

@VenturesAv8 — $500k–$10M Backing early-stage healthcare startups powered by AI

@axialvc — $100k–$5M Invests in early-stage life sciences companies

[Google for Startups @GoogleStartups]

Unlock the power of autonomous workflows with Startup School: Agentic AI.

Join @GoogleCloud experts to discover how to build, deploy, and scale sophisticated #AIagents that drive real business impact. Ready to innovate? Register here ➡️ https://t.co/QzUDNTjYzt

[Imade. @ImadeIyamu]

AWS She Builds Mentorship Program - Free 12 week global mentorship program for women.

Participants are paired with experienced AWS professionals for 1:1 mentoring, career coaching, & professional development.

Deadline: June 30
https://t.co/JjtszazVWh

[Suraj Sharma @suraj_sharma14]

5 days. SF Bay Area. July 22-26.

The Silicon Valley Fellowship puts you in rooms most outsiders never reach:
– Google & Stanford visits
– Investors + Big Tech execs
– Co-founder matching
– Visa intros
– Alumni Slack (lifetime access)

Scholarships available. Rolling deadline: June 14.

One week to stop being an outsider → https://t.co/cOGeYx4G0h

@siliconvalleyf

[Sam Altman @sama]

OpenAI Robotics is hiring, looking for exceptional full-stack hardware, ops, systems, and ML engineers to help us program and manufacture robots that are useful for society.

AI should be able to help people in the physical world. In the short term, we are focused on robots to support skilled workers to build our future infrastructure; in the long term, we imagine everyone having a personal robot doing anything they need.

Our world simulation research program, led by Aditya Ramesh (@model_mechanic), has evolved over the past year into OpenAI Robotics. Progress is rapid, and based on a foundation of co-design between robotics hardware and ML research.

If you love working hands-on across the robotics stack and want to build the future, please consider joining us. Send an email with your background and evidence of exceptional accomplishment to: [email protected]

[Mechanize @MechanizeWork]

We are seeking research engineers who will build evals that test for misaligned model behavior.

[Suraj Sharma @suraj_sharma14]

Most AI programs want your cap table. Claude wants your code.

> Claude for Startups by @Anthropic: API credits + priority rate limits

> No VC required • Bootstrapped founders welcome • Selection based on product + real Claude usage

> Community access: Hackathons • Founder Days • Meetups across 6 global cities

> Early access to new models, launches & program perks for eligible startups

> Build with: Claude API • Opus/Sonnet/Haiku • AWS Bedrock • Vertex AI • Microsoft Foundry

apply: https://t.co/0QiRXYUuPP

[Ksenia Moskalenko @kseniam0s]

YC and a16z are closed. These are open right now:

1. @yzilabs Easy Residency S4 - 5 weeks online + 5 weeks in person, up to $500K. Web3, AI, Biotech. Deadline: June 21

2. @fdotinc Off Season II - 6 weeks in SF, 99 fellow student founders, up to $250K on demo day. Deadline:
June 7

3. @alliance ALL18 - up to $500K, pitch @paradigm, @a16z, @foundersfund at Demo Day. Crypto, Web3, AI. Deadline: May 27

4. @solanalabs x @incubator Cohort 5 - 3 months in NYC starting September 2026. Web3. Deadline: June 5.

5. @XFounders_camp - rolling membership, Seed through Series A, AI, Fintech, Web3.

Best programs don't always have the biggest names.

P.S. If you're applying to any of these, your data room needs to be ready before they ask. Build yours today in under 10 minutes → @ThePageform

[Suraj Sharma @suraj_sharma14]

Fully funded fellowship opportunity for Founders

If you are a founder this one is for you

Blue Ridge Labs is now accepting applications for the Founder Fellowship 2026

This is a 20-week venture-building fellowship designed for early-stage founders who want to build solutions to real social challenges like poverty, education, healthcare and economic mobility. You do not need a product, co-founder, or technical background to apply. This fellowship includes an in-person build phase in New York, where you’ll develop and refine your solution with hands-on support.

Benefits:
- $20,000 stipend to focus fully on your startup
- Learn idea validation, product development, and scaling
- Access to real users to test and refine your solution
- Mentorship from experienced founders, experts, and investors
- Strong global network and future funding opportunities
- No equity required

Deadline: May 3, 2026

Apply here : https://t.co/BRLBOBIXOI

Share this with your network or tag someone who might be interested.