
Head of Foundation Models @Salesforce đ¤ Founder @SpindleAI (acquired @Salesforce) đ ex-President Brainspace AI (acquired, Reveal) ex-CTO Volley ML (@JPMorgan)
SF
Joined April 2010
- Tweets11.7K
- Following118
- Followers1.1K
- Likes10.1K
Carson Kahn retweeted
Introducing SubQ Snap, the first long-context decision model for real enterprise work.
Snap is the only decision model or LLM where compute per token stays constant as context grows.
⢠384K tokens of multimodal context, 12x larger than Jev.
⢠61.7 on Decision Index v0.2.1 vs Jevâs 57.9, outperforming on 13 of 16 enterprise benchmarks.
â˘Processes 100K tokens and returns a decision in under one second.
â˘$0.05/MM input tokens. Output is free.
Available today to anyone.
The first 10,000 sign-ups get 100M free input tokens.
Weâll likely hit capacity fast and will add users as we add compute. Compute offers welcome đ.
Latency will be variable as we tune the platform to this new model and category of users.
Model speeds are 80ms for minimal context, 250ms for 32k, 660ms for 100k, and 2.5 seconds for 384k.
Visit: subq.ai/
Carson Kahn retweeted
Training a model to generate RL tasks not too hard, not too easy costs many solver runs per task.
PROPEL predicts difficulty via a probe on its activations instead, amortizing cost and speeding up generator optimization.
New open-ended RL research from @Vmax + @GoodfireAI.
Carson Kahn retweeted
Wrote a short blog about the "shape" of language models, and the tradeoffs they may present in the future. I genuinely think it's a valuable research direction to start thinking about now, especially w.r.t. harness design.
alexzhang13.github.io/blog/2âŚ
Carson Kahn retweeted
Replying to @williawa @industriaalist
And ES might be equivalent to gradient descent
nature.com/articles/s41467-0âŚ
Carson Kahn retweeted
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
Iâve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
⢠20-200x faster
⢠40-400x cheaper (w/ output tokens free)
⢠Frontier composable intelligence optimized for decisions
AFAICT the shortest path to AI-based economic revolution
Carson Kahn retweeted
first open weight thinking machine model!! 975B total, 41B active trained on 45T tokens, 1M context, multimodal in
sliding window with a 5:1 ratio and 512 size, deepseek aux-free load balancing and 2 shared experts (usually people only use 1), actually curious why the model is less sparse than kimi (~4.2% vs 3.2%). they use a short convolution after k and v, output and ffn (see plot), muon (they cite manifold muon but mention weight decay so not sure), muP, and have a very nice RL scaling curve and chain of thought!
one very cool part of the release imo is how well their small variant (276B total, 12B active) performs compared to the big one. they mention they changed the pre-training data mix and recipe, very curious about those changes and to see them scaled up to ~1T (or more?) soon đ
> "It is not the most performant model available today, closed or open. We trained Inkling for solid capabilities across the board rather than state-of-the-art performance in a single area, to serve as a foundation for the models we will train in the future."
also this is really refreshing to see in a model release, huge congrats :)
Today, we are introducing Inkling.
Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available.
thinkingmachines.ai/news/intâŚ
Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. đ§ľ
Carson Kahn retweeted

Salesforce@salesforce7 Nov 2025
United States!
United StatesConnected via WebLocation may be affected by a proxy or VPN.Account-level information, not a live location or per-post device.
Salesforce has signed a definitive agreement to acquire @SpindleAI, a leading agentic analytics platform.
The acquisition brings aboard deep expertise in multi-agent systems and high-performance data applications to accelerate Agentforce: sforce.co/4hLOpRA
Carson Kahn retweeted
Learn to ship. Shipping is a skill distinct from coding. Shipping is designing, coding, QAing, story-telling, teaching, marketing, selling, pivoting, iteratingâŚ
It used to be that coding dominated in importance because of coding ability scarcity. AI will push you to go further.
Carson Kahn retweeted
Happy to announce that spindle.ai has accepted an invitation to become a @Microsoft AI Cloud Partner!
As former @GoldmanSachs CTO and enterprise #AI leader Dr. Paul Walker notes, âSpindle has uniquely delivered agentic AI for our hardest planning and business analytics problems, and Iâm thrilled to see this technology become more accessible to Microsoftâs ecosystem of customers.â
With contributors from both @MicrosoftAI and @SpindleAI having been at the forefront of #agents since their respective early work on the #GPT family of LLMs, weâre now opening the door to bring rigorous, agentic business analytics into the platforms enterprises already rely on â @Microsoft365 & @Azure.
âWeâre proud that the trust of enterprises embodied in our stage-leading SOC 2 Type II attestation can now extend globally through Microsoftâs class-leading AI Cloud Partner program,â adds Spindle co-founder & AI leader @CarsonKahn, âgiving customers confidence that agentic business analytics is secure, transformative, and enterprise-ready.â
đ More big things ahead â find our teammates throughout @Workdayâs #WDAYRising conference this week (lnkd.in/ghHUfDBD) for a preview of whatâs to come. If youâre attending, reply here so we can connect! â at San Francisco, CA
Carson Kahn retweeted
Grateful to be alive, for my friends, my partners, my family, and for the opportunity to pursue what I love daily.
Carson Kahn retweeted
I love asking people what they have unreasonably high standards for. The answers are always very revealing. And if they donât have an answerâwell, thatâs also revealing.
So, what do you have âunreasonablyâhigh standards for?
Carson Kahn retweeted
the first time i read,
```
if __name__ == '__main__'
```
i almost decided to return the book on Python to B&N
Carson Kahn retweeted
Selling software will evolve to selling agents, AI that acts on behalf of users.
The efficiencies for rote work are too massive to ignore for many uses. As the technology rapidly evolves, so too will the sales strategies.
Sellers & the startups they represent will need to re-imagine roles. In a sense, selling AI agents is analogous to category creation.
About a decade ago, Nick Mehta & the Gainsight team created the customer success category. In 2014, I remember joining a panel at the Gainsight annual conference Pulse, then in its second year.
The conference didnât highlight Gainsightâs software.
Instead, the speakers & the content  equipped customer success leaders with the statistics & stories to convince their peers & managers that customer success needed to exist at their companies. Once budget had been allocated, Gainsight became the de facto software to implement the discipline.
Gainsightâs category creation set the standard for many future categories ; Monte Carlo in data observability is another.
Just as these companies dreamt new ways of working & evangelized the future, AI agent startups must do the same for their buyers.
Working with AI will metamorphose day-to-day workflows, just as much as a new software category.
But technology & efficiency arenât robust enough propositions alone to close a transaction.
The fear of losing a job to AI is enough to stonewall its purchase. âAI is Coming for Your Jobâ is a pervasive & petrifying meme. Buyers facing a threat to their livelihood will block the sale - a halting act of self-preservation.
To mitigate this, sellers must help the buyer envision a future with less rote work, greater impact on an organization, & a radically different path-to-promotion than any pitch in the last twenty years.
The companies who master this skill will be the early leaders of the next era of SaaS.
Carson Kahn retweeted
Wild to think that a year ago today, ChatGPT hadnât come out yet, and the few who were playing w openai models were just finding out that davinci-003 could rhyme
Carson Kahn retweeted
Me and TypeScript every single time
xitter.cf/ciksgibiyim/status/171âŚ
Carson Kahn retweeted

Andrej Karpathy@karpathy22 Sep 2023
United States
United StatesConnected via United States App StoreAccount-level information, not a live location or per-post device.
LLM knowledge is a lot more "patchy" than you'd expect. I still don't have great intuition for it. They learn any thing in the specific "direction" of the context window of that occurrence and may not generalize when asked in other directions. It's a weird partial generalization.
The "reversal curse" (cool name) is imo a special case of this.
Carson Kahn retweeted
Long-term investments are extremely painful to make, but extremely worthwhile when they finally come to fruition.





















