Akshay Krishnaswamy

Chief Architect @palantirtech

[Chad Wahlquist @chadwahl]

Patching is the bottleneck, Apollo is the solution

[Ted Mabrey @MabreyTed]

Good time to pull these passages from the Palantir S-1. AI is an alpha-not-beta game for operating companies. The stakes are very high. Execution quality is reordering the winners and losers in every industry.

Buy Palantir to succeed in Building your own alpha.

[Palantir @PalantirTech]

Join us. https://t.co/rulwOqdNbQ

[Akshay Krishnaswamy @hyperindexed]

The raw commodity != the refined output

The refined output != the composite outcome

[Chad Wahlquist @chadwahl]

Karp predicting tokenmaxxing 2 years ago

“You buy an LLM, you party with it, and the next day you have a hangover.”

[Palantir @PalantirTech]

AIP Evolve — our new product for making agents more efficient and cost effective.

See how Chad and Colton used it to autonomously swap models, tune prompts, validate outputs, and find structured ontology data that eliminated 2 LLM calls; cutting compute costs while improving accuracy and reliability in production.

[Chad Wahlquist @chadwahl]

Software should serve the mission.

Not the other way around.

Enterprise software has a mixed-up chameleon problem….. the answer is not another app.

Ontology is the operating layer for the business.

https://t.co/J5zSK5bHub

[Chad Wahlquist @chadwahl]

America’s farmers deserve government services that move at the speed of their work.

@PalantirTech is helping the USDA turn fragmented legacy systems into One Farmer, One File

Producers apply, report acreage, update records, and get paid faster.

https://t.co/AcJkaBUcWk

[Palantir @PalantirTech]

Thank you Japan 🇯🇵

[Palantir @PalantirTech]

AI solved software creation.

Now comes software distribution.

The future will not run on blind deployment pipelines.

Apollo provides the Ontology Primitives for Software Distribution. Deploy. Patch. Rollback. Validate. Govern.

AI-native velocity with human accountability.

[Eliano A Younes @eliano]

TOKYO 🫶 🇯🇵

[Louis Mosley @louismosley]

In Britain we judge a company by what it delivers, not by who its other customers are.

That principle built this country.

It should survive this week.

[Chad Wahlquist @chadwahl]

🚀 Palantir MCP Hub 🚀

MCP Hub means AI agents can securely discover, reason over, and act against operational context through the Ontology.

From data → ontology → intelligence orchestration → action.

[mjsrightglove @mjsrightglove]

dudes used to just hand you particles

[Chad Wahlquist @chadwahl]

@ osdk/react is GA.

Hooks for every Ontology primitive, normalized caching, optimistic updates with auto-rollback, and action-driven invalidation so your lists stay in sync without you babysitting them.

Check out our GitHub: https://t.co/IQTKa3fHgO

[Palantir @PalantirTech]

Introducing MA-S2: Mission Assurance Security Standard for Software.

AI is accelerating vulnerability discovery. Adversaries are moving faster than any human team can respond.

Institutions need autonomous remediation, attack path modeling, and domain awareness.

The bar has changed.

MA-S2 is our proposed standard for software security — one we're actively working towards, and publishing as our responsibility to every enterprise that wishes to secure its own digital footprint and ecosystem.

Learn more: https://t.co/rpABCr5vVi

[Akshay Krishnaswamy @hyperindexed]

@geoffreylitt "Omakase + Hackable" also reads like a merger between two classic OS X application developers

[Chad Wahlquist @chadwahl]

AIP 🤝 SAP

[tetsuo @tetsuoai]

Every x86 chip you can buy in 2026 still has a microcode ROM inside the legacy decoder doing Wilkes-style horizontal microprogramming. Foster wrote that chapter in 1970. It is still correct.

[Akshay Krishnaswamy @hyperindexed]

@max_paperclips Very much designing for higher and higher scale transactional workflows to run atop the Ontology.

...but doing so while maintaining organizational sovereignty: your maximally distinct ontology, versus a generic "standard schema".

[Akshay Krishnaswamy @hyperindexed]

With humans & agents working together, the transactional paradigm needs to apply across the entire "decision circuit" ; the data, the code/logic, Ontology definitions, and the consuming applications.

Treat the business like code.

[James Cowling @jamesacowling]

Database transactions don't get enough love but the ability to execute a bunch of code, change a bunch of data, and only commit it when you've validated the results is going to be so critical in the AI era.