Joshua

brit in california 🇬🇧🇧🇧🇺🇸 | talent & people engineering: AI, ops & automation

[amit @ CVPR @gravicle]

We are launching Open Physical AI Lab at Luma to solve generalization in robotics

We believe general physical AI is the most consequential problem to solve to improve life on Earth. Allowing one or very few companies to control the entire intelligence and physical infrastructure of the world is a profound threat to the world. This is the path LLMs took, and it is the path physical AI is on today. To solve this problem of generalization in physical AI and to maximally benefit all of humanity, we are establishing the Open Science Physical AI Lab (OPAL Lab) at Luma.

Today, physical AI and robotics are in the pre-AI-scale era. Unlike LLMs and multimodal models which are capable of solving a wide range of previously seen and unseen problems, robots are trained on and can only replay specific tasks in specific environments from small scale examples, limiting their utility. Physical AI has a data gap, creating a generalization crisis. The default solution is to simply scale teleoperation to capture data across every possible task and combination of tasks – a physically and economically impossible approach.

Over the past 4 years, through fundamental research on multimodal AI, Luma has trained frontier foundation models in 3D, image, video, and unified language-visual generation. In this process, we have built vast infrastructure to make sense of raw internet-scale multimodal data and train efficient generative models with it. Building these systems has given us unique insights into how raw multimodal data can be used to learn physics, perception, reasoning and interaction with the physical world. Over the past few months, mounting empirical evidence from our work on Unified Models has turned this realization into a strong scientific conviction. Generalization is not unique to text.

The Open Physical AI Lab will research and scale methods to solve generalization and develop World Models for understanding and interaction with the physical world. This generalization will lead to robot systems proliferating everywhere - factories, research labs, hospitals, streets, and even our homes. Given the societal and economic upside, this transition will be faster than any other technology in history and these systems will be embedded into every layer of human life. Physical AI will help us solve labor shortage and stagnation plaguing world economies. Physical AI will become the means of production in every nation.

Allowing one or very few companies to control the entire intelligence and physical infrastructure of the world is a profound threat to humanity and democratic freedom. This is the path LLMs took, and it is the path physical AI is on today.

To reverse this trajectory, this lab will be an open science effort. We will use our scale and expertise to build the substrate and make it available so that any dedicated group of people can use it, modify it, and assemble it into systems of productive work. To accelerate progress, we will collaborate with our peer labs and academia on core research, build evaluations to measure progress and assess safety, and partner with industry leaders on chips, hardware, and physical agent systems.

If you share this conviction and believe that this foundation should be built in the open for the benefit of all humanity, please come work with us.

[Joshua @joshcoreyo]

@PokemonTCGIntel No joke. Wasn't gonna bother, sat down at my laptop 45 mins after drop, saw people still complaining that the site was having issues - so I went to the site, made a brand new acc and signed up for Sam's club, then went and got two into my cart and ordered successfully in 10~ mins

[Joshua @joshcoreyo]

@TheSpursWatch @TheSunFootball You have got to be the most garage club game account on this whole platform. You singlehandedly make the dumpster that is X even worse. Great job.

[Joshua @joshcoreyo]

@everestchris6 LOCAL

[Chris @everestchris6]

this OpenClaw bot finds local businesses with no branded gear, AI mocks up their logo on the right product, and runs the entire sale on autopilot.

here's how anyone can use this system to land local business clients:

- scrapes every indie business in a city from Google Maps in real time
- filters by review count, rating, and industry vertical
- maps each vertical to the right product
- pulls the logo + samples the palette from their actual visual identity
- AI-renders a photoreal mockup of the logo on the product
- writes a postcard with the owner's first name + a personalized buy link
- when they scan + pay, a print-on-demand API auto-prints + ships direct to the business

every step from discovery to fulfillment is automated.

reply "LOCAL" + RT and I'll send you a free guide so you can build this too

[Joshua @joshcoreyo]

@DeRonin_ ELEVEN

[Ronin @DeRonin_]

5 startup ideas you can build and resell using only ElevenLabs Agents

each one costs $0.08/min to run and replaces $2-5k/mo in human labor

Let's break them down ↓

1. AI Receptionist for Local Businesses

dentists, salons, clinics, they all pay $2-3k/mo for someone to answer phones

build a voice agent that:

- answers calls 24/7
- books appointments
- handles FAQs
- speaks the client's language

who ALREADY uses it: ~31% of local service businesses
who STILL needs it: ~69% (your market)

white-label it, charge $300-500/mo per client
your cost per client: ~$30/mo in minutes

2. Multilingual Customer Support

ElevenLabs agents speak 70+ languages natively

e-commerce brands selling internationally need support in 5-10 languages minimum

one agent replaces a 5-person multilingual team

who ALREADY uses it: ~36% of e-commerce businesses
who STILL needs it: ~64% and most of them are mid-market brands scaling globally

sell 24/7 coverage, mark up the minutes, charge per-seat

3. AI Sales Qualifier (SDR Replacement)

voice agent calls inbound leads, asks 5-10 qualifying questions, books

meetings directly into the sales team's calendar

startups pay $4-6k/mo per SDR

you charge $1.5k/mo for an agent that works 24/7 and never misses a lead

who ALREADY uses it: ~27% of mid-market teams
who STILL needs it: ~73% and 22% already fully replaced human SDRs

plug it into any CRM like HubSpot, Salesforce, Pipedrive

4. Restaurant Order-Taking Agent

phone ordering for restaurants, pizzerias, takeout spots

the agent takes the order, upsells sides and drinks, confirms, pushes to the POS

who ALREADY uses it: ~34% of restaurants
who STILL needs it: ~66% (expected to hit 50%+ in major cities this year)

build one integration template → sell to 100+ restaurants at $200/mo each

that's $20k/mo from one vertical

5. Real Estate Showing Scheduler

agents answer property inquiry calls, give listing details, qualify buyers, and book viewings (all mid-call)

realtors spend hours on phone scheduling

who ALREADY uses it: ~18% use voice AI specifically
who STILL needs it: ~82%

while 82% of agents already use some form of AI, almost none have voice agents

charge per listing or flat monthly

integrates with their calendar + CRM

--------

How to build any of these:

- sign up for ElevenLabs (startups get $4k free credits)
- pick your niche
- build the agent with their no-code platform
- connect it to GPT or Claude for the brain
- plug in scheduling/CRM via API
- white-label it under your brand

you don't need to build AI, you need to sell AI to people who don't know it exists yet

reply "ELEVEN" + RT and i'll send you a free guide so you can build this too

[Joshua @joshcoreyo]

@everestchris6 Guide

[Chris @everestchris6]

this OpenClaw bot finds restaurants with ugly food photos, redrafts them as IG posts, and mails the owner a postcard...on autopilot.

here's how social-media agencies can use this system and land clients:

- scrapes every restaurant in a city in real time
- filters by review count + rating + last post date + photo quality
- pulls the strongest food photo from Google Maps reviews
- samples the brand palette from the restaurant's own visual identity
- AI-redrafts the photo into a 9:16 brand-matched Instagram post
- writes a postcard quoting a real reviewer + dish
- mails it to the owner by first name with a preview QR

every step from discovery to brand-matching to outreach is automated.

reply "GUIDE" + RT and I'll send you a free guide so you can build this too

[Joshua @joshcoreyo]

@everestchris6 MENU

[Chris @everestchris6]

this OpenClaw bot finds restaurants with ugly menus, rebuilds them as live web menus, and mails the owner a postcard...on autopilot.

here's how agencies can land recurring contracts with this system:

- scrapes every restaurant in a city in real time
- filters by review count + rating + last menu update + photo quality
- pulls the real menu items from the official site, PDF, or Google reviews
- samples the brand palette from the restaurant's own visual identity
- renders a 9:16 brand-matched menu, hosted live at a QR-accessible URL
- writes a personalized postcard referencing a real reviewer and a real dish
- mails it to the registered office addressed to the owner by first name

every step from discovery to brand-matching to outreach is automated.

reply "MENU" + RT and i'll send you a free guide so you can build this too

[Joshua @joshcoreyo]

I am now almost sure that we're being trojan horse'd with these managers and their selections.

- No Relegation Richy.
- Kolo Muani, the man who doesn't care.
- Midfield three of Bent, Gallagher and Biss 🫣
- and Van de Ven as (C)? Good Lord, give it to someone who really cares.

[Tottenham Hotspur @SpursOfficial]

Our Spurs side to face Brighton 🤍

🔢 @krakenfx

[William Shen @shenbokui]

UNI-1 is intelligent, directable, cultured. Incredible range it can do.

Incredibly proud of the world-class team building a world-class model.
It’s a daunting task to go up against industry giants like Deepmind/OpenAI/Bytedance.

More to come! API, technical report, model card…

Come join us!

[Luma @LumaLabsAI]

Uni-1 is here! A new kind of model that thinks and generates pixels simultaneously. Less artificial. More intelligent.

[Joshua @joshcoreyo]

@codewithimanshu Openclaw

[Joshua @joshcoreyo]

@Shahriar661731 Claude

[Luma @LumaLabsAI]

Introducing Uni-1, Luma’s first unified understanding and generation model, our next step on the path towards unified general intelligence.
https://t.co/QjdrnYoWe5

[Joshua @joshcoreyo]

@NoahEpstein_ CLAUDE

[Joshua @joshcoreyo]

@fivosaresti GTME

[Joshua @joshcoreyo]

https://t.co/vxIa8DLu9e