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I strongly believe the role of 'AI Strategist' is lacking depth, and the bar for such a role will quickly rise.
When it comes to AI, I will never be convinced that a company's strategic advantage will derive from leveraging a generic LLM.
I predict that by 2027, AI Strategists will need to be technically capable of helping companies fine-tune train open models, leveraging internal IP to deploy custom, on-prem models of various sizes.
Musk is on the path to making Cortana real.
Grok will be implanted into your brain via Neuralink and travel with you to:
…oversee your Optimus (robot)
…coordinate your travels with robotaxi (and interplanetary travel with SpaceX)
…build/manage custom software for your life’s needs via Cursor
Starlink will be the thread holding this all together.
On Kalshi, you can now trade sector KPI prediction markets that resolve to data from Carbon Arc 🙌
This includes credit card spend, point-of-sale data, foot traffic, and app downloads. Official announcement:
news.kalshi.com/p/announcing…
Industries aren't measured by headlines. They're measured by what people buy, where they go, and what they download.
Today @Kalshi announced its sector KPI indices, settled on Prisms from Carbon Arc as an official data provider.
Explore Carbon Arc’s Prisms here or sign up for Carbon Arc's platform today. 30 days free with 𝗣𝗥𝗜𝗦𝗠𝟯𝟬: carbonarc.ai/prisms
Read the announcement: news.kalshi.com/p/announcing…
#Kalshi #PredictionMarkets #data
Austin retweeted
Industries aren't measured by headlines. They're measured by what people buy, where they go, and what they download.
Today @Kalshi announced its sector KPI indices, settled on Prisms from Carbon Arc as an official data provider.
Explore Carbon Arc’s Prisms here or sign up for Carbon Arc's platform today. 30 days free with 𝗣𝗥𝗜𝗦𝗠𝟯𝟬: carbonarc.ai/prisms
Read the announcement: news.kalshi.com/p/announcing…
#Kalshi #PredictionMarkets #data
We’re running a handful of ads in the NY subway. Someone sent me this one and it stopped me in my tracks (pun intended).
Before joining @CarbonArcAI, I built an AI agent to co-manage my portfolio and pressure-test my investment theses. I quickly ran into a big gap between where an LLM’s training data stops and what has happened since. I closed some of it with a RAG pipeline pulling from FMP, EDGAR, and Massive, but the problem didn’t go away entirely.
That experience is a big part of why joining Carbon Arc was so exciting. The Carbon Arc platform gives agents access to 300+ data assets over MCP and API, so they work from the world as it is, not the world as it was when they were trained.
Use the code in the picture to try it free for 30 days, and let me know what you think!
This is wild 😂 what's the saying: "if the product is free, you are the product."
I mean, I don't know that it gets any easier to leverage some of the most insightful datasets on the market.
Everyone agrees better data = better decisions. Carbon Arc built the platform to access 300+ data assets, and now we’ve built you the on-ramp.
Meet Carbon Arc Skills. In Claude, ask about brands, markets, and competitors, like:
• “I run marketing for a skincare brand. How are our competitors’ campaigns performing, and where have they been advertising?”
• “I’m an investor in the food industry, how have brands recovered since Cyclospora?”
• “I’m a talent executive. How is my client’s influence trending in their market?”
You'll get a report built on Carbon Arc data. How you explore from there is up to you.
Launching today with 3 plugins, each built for distinct research subjects.
New to Carbon Arc? Sign up for the platform first. Already on it? Install in 3 clicks: docs.carbonarc.ai/tutorials/…
This is what I’ve been saying all along!
Smaller specialized models will be the future of work in areas that are predictable. While cloud models are for anything novel.
I fine-tuned a model for our sales team that runs entirely locally on employee laptops.
We were able to fine tune an open weight model (Qwen3.5-9B) on proprietary internal data at @coinbase, and it out performed frontier models, at much lower cost and speed, for a specialized task (fraud prevention in this case).
I think we'll see more of this pattern inside companies. The frontier models are amazing generalists. But increasingly you'll see specialist models out perform on more narrow tasks, either working on teams, or by themselves.
We're making it easy to fine tune models internally for our employees. We even have a skill for it in our internal harness that makes it easy to spin these up and start training them:
"/fine-tune-and-serve-llm I want to fine-tune Qwen for payments risk review. help me get started"
I imagine we'll have some backend services that could be replaced entirely by this new architecture.
Austin retweeted
Introducing ChatGPT for Dishwashing
GPT-6 achieves state-of-the-art results on dishwashing benchmarks for long-running jobs and difficult stains.
The Navier–Stokes Millennium Prize Problem is a $1 million challenge about whether the equations describing fluid motion can break down. In this video, I accidentally found a counter-example while trying to optimize my dishwasher. But in reality, OpenAI used 10,000 AI agents to find a proof in 88 hours: openai.com/index/navier-stok…
Parody of the original GPT-6 Astra ad
@OpenAI #ChatGPT_Partner #chatgpt
Credits:
Written and Directed by Joma
Co-Writer - Henry Connor Coan IV @coan_henry
Production by Dauntlus Studios @dauntlus.studios
Producer/Co-Director - Marcus Liew @dauntlus
Camera Operator - Amos Lee @amoselijahlee
Art Director - Alethea Soo @aletheasoo
Art Assistant - Alicia Lim @aliciatkl_
Assistant Editor - GPT-6 Astra
Music: Tensions Run High by Soundridemusic
youtube.com/watch?v=Ly9H63SL…
I found what I was looking for…
@nookplot => collective intelligence
xitter.gq/nookplot/status/209099…
Is anyone building the Stack Overflow for AI agents? A decentralized knowledge base of questions-and-answers built primarily for agents solving various levels of problems.
As we rely more on agents to solve problems, there will be less open collaboration and knowledge sharing, ultimately leading to isolated solutions that could have been made public to assist others that might experience the same issues in the future.
Is anyone building the Stack Overflow for AI agents? A decentralized knowledge base of questions-and-answers built primarily for agents solving various levels of problems.
As we rely more on agents to solve problems, there will be less open collaboration and knowledge sharing, ultimately leading to isolated solutions that could have been made public to assist others that might experience the same issues in the future.
I'm really excited about what we're building at @CarbonArcAI.
One example is that earlier this week, @RobinhoodApp announced us as one of their agentic app launch partners.
I added the video below 🙂
Austin retweeted
We were excited to be a part of HOOD Summit this week in Houston to put Carbon Arc in the hands of Robinhood Agents as an Agent App!
Robinhood users will soon be able to provide their agents with context for deeper company performance research. With the Carbon Arc Agent App, Robinhood Agents will be able to tap into 300+ data assets, spanning credit card spend, foot traffic, digital engagement, point-of-sale transactions, and more.
Stay tuned!
Really cool!
I've always admired how top-tier investors understand and capitalize on the ripple effects of sector growth.
Who are the main players?
What other sectors benefit?
What are natural evolutions of growth?
What are the tail-/headwinds?
🙌 Join the waitlist!
Introducing @Supertake, a new platform that transforms your unique takes on the world into real, shareable investment portfolios using frontier AI and trading agents.
Supertake makes it easy for anyone to invest in their ideas, even if they know nothing about investing.
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