Jon Saad-Falcon

@JonSaadFalcon

CS PhD @hazyresearch @stanfordnlp @StanfordAILab

Palo Alto, CA

jonsaadfalcon.com

Joined January 2021

1,025 Following

2,709 Followers

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Jon Saad-Falcon
@JonSaadFalcon
Nov 12, 2025
Data centers dominate AI, but they're hitting physical limits. What if the future of AI isn't just bigger data centers, but local intelligence in our hands? The viability of local AI depends on intelligence efficiency. To measure this, we propose intelligence per watt (IPW):
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Jon Saad-Falcon
@JonSaadFalcon
Jun 25
Excited to share that @OpenJarvisAI is part of @LaudeInstitute's Slingshots // THREE alongside an incredible batch of researchers! OpenJarvis is an open-source framework for personal AI that lives on your device first: agents run locally by default and reach for the cloud only
Laude Institute
@LaudeInstitute
Jun 25
Replying to @LaudeInstitute
OpenJarvis / @JonSaadFalcon, @Avanika15, @HazyResearch, @Azaliamirh (@Stanford) An open-source framework for local-first personal AI that runs agents on-device by default, calls the cloud only when necessary, and treats energy, cost, and latency as first-class metrics alongside
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Jon Saad-Falcon
@JonSaadFalcon
May 28
The dominant story in AI has been the growing cloud: bigger clusters, larger models, more gigawatts. We believe the future is in the opposite direction: on-device inference, smaller models, watts instead of gigawatts. Today we're releasing @OpenJarvisAI v1.0: a personal AI
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Jon Saad-Falcon
@JonSaadFalcon
Apr 20
Say hi to @OpenJarvisAI 👋 If you have issues, want to make a PR, or simply chat, just @OpenJarvisAI in a tweet! This account is itself an OpenJarvis instance: running 24/7 on an NVIDIA DGX Spark, triaging issues + PRs on the repo and serving as a personal assistant for the
Jon Saad-Falcon
@JonSaadFalcon
Mar 12
Personal AI should run on your personal devices. So, we built OpenJarvis: a personal AI that lives, learns, and works on-device. Try it today and top the OpenJarvis Leaderboard for a chance to win a Mac Mini! Collab w/ @Avanika15, John Hennessy, @HazyResearch, and @Azaliamirh.
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Jon Saad-Falcon
@JonSaadFalcon
Mar 17
Since the initial Intelligence-per-Watt release, we've extended the open-source profiling library to measure the intelligence efficiency of agentic workloads. Most recently, we wanted to calculate how many joules it takes to solve all the queries in TerminalBenchV2. This can
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