VINCI Digital Industrial AI IoT Strategic Advisory retweeted
Check out the latest article in my newsletter: 🏭 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐀𝐈 🤖: 𝘈𝘤𝘵𝘶𝘢𝘭 𝘊𝘢𝘴𝘦 𝘚𝘵𝘶𝘥𝘪𝘦𝘴, 𝘐𝘯𝘴𝘪𝘨𝘩𝘵𝘴 & 𝘗𝘦𝘳𝘴𝘱𝘦𝘤𝘵𝘪𝘷𝘦𝘴 🚀🚀🚀 | Oct 26 | @VINCI_Digital
#industrial #iot #ai #genai #agenticai #physicalai #humanoids bit.ly/4yQiOoS
VINCI Digital Industrial AI IoT Strategic Advisory retweeted
I built an absolute monster. My crazy idea to merge all the most powerful AI tools together made me $832 while I was asleep
opus 5.5 + REA + Jev + Dots + Grok Bot + Obsidian
Half a dozen utilities. A single unified ecosystem. Zero human intervention
Opus 5.5 -> acts as the core intellect, designing every assignment
Grok bot -> monitors X around the clock to spot emerging patterns
REA -> conducts deep analysis on any subject within a four-minute window
Jev -> executes concepts autonomously, turning them into reality
Dots -> weaves all six components into a seamless workflow
Obsidian -> functions as the archive containing 1,260 records with zero data loss
Before heading to bed, I assigned it a single objective: discover a profitable market gap and launch a working product by sunrise, keeping the expenses under $15
I went to sleep at 11:40 PM, and here is what unfolded over the course of seven hours:
12:12 AM: Grok bot uncovers 1,900 distinct posts from delivery workers venting about a shared frustration: tracking their income across three separate platforms
1:05 AM: REA evaluates the competitive landscape, finding 14 existing paid solutions starting at $19 monthly, with users universally criticizing the exact same two software glitches
2:30 AM: Opus 5.5 drafts an application architecture designed to resolve both flaws, consisting of nine screens and a single database, without asking me a single question
4:10 AM: Jev programs the software, deploys it live, and writes the promotional landing page.
5:45 AM: Dots generates a 30-second promotional animation and publishes it alongside three forum threads
7:20 AM: Obsidian logs every single action, financial expense, and misstep along the way
Upon waking up, I discovered a fully functioning application, 243 registrations, and 31 paying customers subscribed at $9 each, bringing in $832 before my morning meal
The entire nightly overhead amounted to $5.10 for API tokens plus a $4 web domain, totaling $9.10 -> yielding a 91x return while I slept
The system even exercised self-control: when Jev attempted to purchase a $55 web address, it hit the preset $15 threshold and automatically opted for a $4 alternative instead
The primary misconception is that individuals turn to AI merely for answers: instead, I provided mine with a clear objective, a strict timeline, and a financial ceiling
I did not author a single line of programming code, nor did I open a single browser tab: I simply went to sleep
While everyone else is holding out for artificial general intelligence, I already have six autonomous utilities pulling the night shift
VINCI Digital Industrial AI IoT Strategic Advisory retweeted
Alguém montou a melhor visualização que já vi de como o governo brasileiro arrecada e gasta o nosso dinheiro.
VINCI Digital Industrial AI IoT Strategic Advisory retweeted
What tasks should AI be trusted with, and when should humans remain involved? Designing those decision rights is one of the defining challenges of the AI era. Researchers at the MIT Center for Information Systems Research have developed a framework to help.
Learn more: bit.ly/4zed20M

ALT This image is a diagram titled "The AI Decision Matrix," from MIT Sloan School of Management. It is a 2x2 grid illustrating a framework for decision-making based on ambiguity and risk. The grid categories are: 1. Exploratory - High ambiguity, high risk, with an approach to enable experimentation. 2. Strategic - High ambiguity, low risk, with an approach to partner. 3. Routine - Low ambiguity, low risk, with an approach to automate and monitor. 4. Consequential - Low ambiguity, high risk, with an approach to manage and supervise. The bottom section includes an explanation of decision components, participants, and approaches. The matrix helps determine how humans and AI should participate in decision-making.
VINCI Digital Industrial AI IoT Strategic Advisory retweeted
the physics behind the roadster - roadster.pplx.app/
VINCI Digital Industrial AI IoT Strategic Advisory retweeted
The chips get the headlines. The electricity bill decides the economics. Same data center: $200/MWh in China, $380 in London.
Explore the investment case: mck.co/InvestmentDataCenters
Claude Cowork and chat are merging into one Claude.
Ask a quick question or hand over a report, and Claude takes it from there, even after you close your laptop. If something's unclear, Claude asks—you keep the final say.
Rolling out to Pro and Max over the next few weeks.
World Labs co-founders Fei-Fei Li, Justin Johnson, Ben Mildenhall, and a16z's Martin Casado on Atlas, a world model for spatial intelligence:
LLMs are built on next token prediction. Video models are built on next frame prediction. Atlas is built on new view prediction, and it's the first model to unify pixel generation and pixel reconstruction, two problems computer vision has kept in separate tracks for half a century.
The practical result is a 50 to 100x reduction in what it takes to digitally capture a 3D representation of a space. Previously, you needed 100 to 300 photos of a single room. Atlas can work from just three.
In this conversation, they get into the slow motion shot from The Matrix that took hundreds of cameras and now takes three iPhones, the overnight Slack message that made them bet the company in five seconds, why robotics is bottlenecked on data rather than chips, and the case that new view prediction is AI-complete.
00:00 Intro
01:50 The Matrix slow motion scene now takes three iPhones
02:48 Why new view prediction is the primitive
07:10 Unifying generation and reconstruction
11:15 Gaussian splats became the bottleneck
14:17 Dense capture used to mean 300 photos
17:30 Why reconstruction needs generation to fill the gaps
18:44 The LLM lesson image models missed
23:39 The video that made them go all in
28:04 3D design is 95% revisions
30:50 The problem in robotics is data, not chips
32:48 Why a robot policy can't be trained like an image model
34:44 When the simulator becomes the planner
36:45 Frozen time required footage full of movement
40:57 Why new view prediction is AI-complete
42:43 Nature gave animals eyes but not trees
YouTube: youtube.com/watch?v=qn1QDDBn…
@drfeifei @jcjohnss @BenMildenhall @theworldlabs @martin_casado
VINCI Digital Industrial AI IoT Strategic Advisory retweeted
Exciting day for NVIDIA and @huggingface.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. They allow every developer, startup, university, industry and country to build with, customize and benefit from AI.
Thank you @ClementDelangue for coming to me.
NVIDIA is going to be a great home for Hugging Face, its community and the future of open models. 🤗
blogs.nvidia.com/blog/nvidia…
VINCI Digital Industrial AI IoT Strategic Advisory retweeted
I'm so excited that our @theworldlabs team has achieved a major milestone today! Introducing Atlas - a first of its kind multimodal world model trained from scratch! 🚀
Atlas is capable of generating frames with pixel-perfect camera control, reconstructing large scenes from as few as one single input image, simulating space-time by reframing videos, natively outputting 3D spaces from one or more input images, composing multiple posed images into a consistent 3d world, and more! This is the best camera conditioned world model ever, opening doors to many possible use cases from VFX to robotics. I'm so so so proud of our team!♥️
VINCI Digital Industrial AI IoT Strategic Advisory retweeted
Super happy to share our intention to join forces with NVIDIA in a $12,930,300,000 acquisition 💛💚
10 years after starting Hugging Face, open-source AI is at an inflection point. Thanks to the community, we’ve shown that it can be a complement, and even an alternative, to closed-source APIs. But for it to happen at larger scale, it needs more compute, more support, more collaboration and more visibility. That’s why we went to talk to Jensen, who offered to do exactly that with us.
In addition to doubling down on NVIDIA’s massive contributions to open-source AI (I called them the “King of American open-source AI” earlier this year), they’ve committed to strongly supporting Hugging Face and our mission while keeping the platform open, independent and compute agnostic. The founders and the team are all staying to keep pushing this mission forward.
Together, we think we can make open source the default way to build AI, with the goal of empowering 100 million AI builders to own their intelligence rather than rent it.
Excited about the next 10 years! 🤗🤗🤗
VINCI Digital Industrial AI IoT Strategic Advisory retweeted
Introducing Atlas:
The world's first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D.
Model the world, move the camera, and simulate space & time.
Claude Academy is now live.
Whether you're figuring out what AI is or already using Claude every day, there's a path that meets you where you are. The courses and tutorials are free and open to anyone at academy.claude.com
VINCI Digital Industrial AI IoT Strategic Advisory retweeted
I finally have all 1.2 million raw image files from my latest mission to ISS! Here is a sample of one of my favorite Milky Way photos, taken from the Cupola with Nikon Z9, Arri Zeiss 15mm lens, T1.8 with custom sidereal drive that cancelled out star motion relative to our orbit.
VINCI Digital Industrial AI IoT Strategic Advisory retweeted
I’ll try and compress 20 years of experience into 30 seconds
Startups have a GREAT FILTER that kills almost everyone. It’s there to weed out the people who aren’t meant to build companies
The good news is it can be beaten - even with little or no capital. Once you beat it, you can do it again. You can choose to stay at the current level or attempt to level up
The level boss is always the same: if you quit, you fail
I can’t stress this enough: almost every skill can be learned. Never stop improving. You can acquire new skills, hire better people, change the product, pivot the strategy, or rethink your assumptions
You’ll hit the wall. Most will quit. But just keep going
If something isn’t working, change course. Change your vector: reassess your hypothesis, measure the results, and keep iterating
Also working hard compounds. The more quality work you can put in, the better your odds. There is no balance
Almost nobody succeeds on their first attempt
If you want it badly enough, you can bend the future in your direction
Just start. And keep pushing
Replying to @adcock_brett
@adcock_brett What were the key challenges in taking Archer Aviation from concept to a publicly traded company?



























