Founder / investor. Founded @resellerratings, sold it, bought it back, sold it again. Animal advocate.
Joined April 2009
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Scott Wainner retweeted
Scoop: OpenAI is set to hit or exceed $70 billion in annualized revenue by the end of this year.
That's up from around $50 billion in annualized revenue at the end of Sept. w/@shiringhaffary👇
Scott Wainner retweeted
Alzheimer’s is one of medicine's hardest unsolved problems, and one of the most devastating.
At the OpenAI Foundation, we believe AI is well suited to its complexity. We're directing over $100M to scientists mapping the disease, designing drugs, & more.
I wrote about it here:
openaifoundation.org/news/ai…
Scott Wainner retweeted
Today I'm excited to introduce Hark, a new artificial intelligence lab building the most advanced, personal intelligence in the world
We've been in stealth for 8 months, assembling one of the greatest AI and hardware teams on the planet
I want to explain why I started Hark and what we're focused on
I've spent the last 3 years working on the hardest AI challenge imaginable: giving AI a humanoid body. On the digital side, I've been using all the existing LLM chatbots - and I have to say, they feel incredibly dumb to me
AGI, in the limit, should feel like a sci-fi movie. It should be able to listen and talk. It should have persistent memory and be highly personalized. It should see and touch the world. But we're far from this today
We are crafting a new interface to AGI. Intelligence that lets you offload your mental workload into a system that begins to think like you and sometimes ahead of you
We started Hark with one goal: build the world's most advanced personal intelligence - paired with next-generation hardware designed to serve as a universal interface between humans and machines
hark.com
Scott Wainner retweeted
Today, Figure is showing another major milestone towards a robot in every home
Running Helix 02, cleaning a living room fully autonomously
Scott Wainner retweeted
MOONSHOTs Double-Header today. In the morning recorded a WTF Episode with @CathieDWood -- and in the afternoon flew up to Figure HQ in San Jose to record with @adcock_brett. Incredible Progress at Figure over the past years... stunning. Both Episodes will drop over the next week. diamandis.com/podcast
Scott Wainner retweeted
For the past year, my team has been searching for a single model capable of whole-body autonomy in real homes.
Last week we had a breakthrough.
𝗣𝗿𝗼𝘂𝗱 𝘁𝗼 𝗶𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗲 𝗛𝗲𝗹𝗶𝘅 𝟬𝟮 🧬
(1x speed, no teleop)
Scott Wainner retweeted
The fact that NVIDIA is buying Groq, which is a very high-speed inferencing data center computer company, is pretty significant.
It takes a competitor off the table for one, but two, it gives them a new thing to sell to all the AI companies and put in their data centers.
Scott Wainner retweeted
Here’s 60 minutes of nonstop package sorting… boring enough for you?
Impressive progress on the hardware side.
But for mass adoption, we need these robots to handle the 'boring' stuff first—reliability in chaos. A robot that makes coffee is cool. A robot that sorts 10,000 messy packages without a single error is profitable. The real race is in the VLA (Vision-Language-Action) model accuracy."
Scott Wainner retweeted
Introducing the Mistral 3 family of models: Frontier intelligence at all sizes. Apache 2.0. Details in 🧵
Scott Wainner retweeted
Those calling this an “AI bubble” assume monetization efforts will not offset the capital being invested.
What if the opposite happens after the initial monetization gap - revenue accelerates, profits begin to scale, and the market reprices AI companies dramatically higher.
I shared my thoughts last week in my interview with @cvpayne on why the biggest risk to investors is not that AI is in a bubble - but rather the opportunity cost of missing out.
$NVDA
Scott Wainner retweeted
This is insane… OpenAI Anthropic & Google just got access to petabytes of proprietary Data, The data is coming from the 17 National Laboratories, which have been hoarding experimental data for decades.
We aren't just talking about better chatbots anymore. The US Government’s new Genesis Mission is officially building autonomous scientific agents.
They call it "Closed-Loop" discovery, and it fundamentally changes the physics of how we invent things. Instead of humans using tools, it will be fully autonomous.
The workflow described in the DOE roadmap is essentially sci-fi:
• The AI Designs: It looks at the data and hypothesizes: "If we mix these alloys at 4,000 degrees, we get a superconductor."
• It sends instructions to a robotic lab (which the DOE is building) to physically mix the materials.
• The robot feeds the results back instantly. If it fails, the AI tweaks the formula.
• This cycle runs thousands of times a day, 24/7. No sleeping. No grant writing.
Scott Wainner retweeted
OpenAI, Harvard, Oxford and other top university paper shows GPT-5 already helps real scientists push forward actual research in several scientific fields across math, physics, biology, and more.
In several projects, GPT-5 helped prove 4 new math results and checked tricky steps that humans then fully verified.
GPT-5 has started actually helping solve fresh research problems.
The authors set up many small case studies where experts dropped GPT-5 into live work in mathematics, physics, astronomy, computer science, biology, and materials science.
In each case, GPT-5 suggested research ideas, filled missing proof steps, wrote and debugged code, searched the literature, and pointed out gaps in arguments.
Some examples are tightening a rule about safe step sizes in an optimization method, finding hidden symmetries in black hole equations, and explaining puzzling immune cell experiments.
Across these studies, GPT-5 is very good at step by step reasoning and exploring many options quickly, but it still makes real mistakes and cannot reliably judge if a result is correct.
Overall, the paper treats GPT-5 as a strong junior collaborator that saves expert time while humans still design the plan and carefully check every important step.
----
Paper – arxiv. org/abs/2511.16072
Paper Title: "Early science acceleration experiments with GPT-5"
Scott Wainner retweeted
“Blackwell sales are off the charts, and cloud GPUs are sold out - compute demand keeps accelerating and compounding across training and inference — each growing exponentially. AI is going everywhere, doing everything, all at once.” $NVDA
Scott Wainner retweeted
I am raising my 2030 target on Nvidia $NVDA from $10 trillion to $20 trillion market cap.
It may sound extreme, but my new analysis lays out a data-driven, fundamentally grounded case for how Nvidia can realistically reach a $20 trillion market cap by 2030. Link in bio.
Scott Wainner retweeted
$NVDA will outperform, AI is not a bubble, and today’s earnings will validate the trend.
Let’s go 👏🏻🚀
