EdgeRunner AI

American Open-Weight AI for the Warfighter and Critical Industries

[EdgeRunner AI @EdgeRunnerAI]

Today, we’re proud to announce our strategic collaboration with @HP to help build the world’s smartest AI PCs. The future of AI isn’t just in the cloud. It’s in your hands.

Together, HP and @EdgeRunnerAI are bringing military-grade, domain-specific intelligence directly to HP AI PCs and workstations—transforming powerful hardware into intelligent systems capable of reasoning, executing complex workflows, and operating entirely offline. No cloud dependency. No constant connectivity. No compromise on data sovereignty.

From the battlefield to federal agencies and critical industries, we’re working to put powerful, mission-ready AI wherever it’s needed most. HP builds the machines. EdgeRunner AI delivers the intelligence.

The next generation of AI computing starts at the edge.

Read the full announcement here: https://t.co/K7EOp25z0N

[EdgeRunner AI @EdgeRunnerAI]

Please welcome Max De Jong to EdgeRunner AI!

As a Research Scientist, Max will work with our core science team to develop domain-specific AI for our military and national security customers.

Max earned his BS in Applied Physics from @Caltech and his PhD in Physics from the @UMich. Before joining EdgeRunner, he was an ML Scientist at Agentic and a Senior Applied Scientist at Harpin AI.

[EdgeRunner AI @EdgeRunnerAI]

Please welcome Alex Karlovitz to EdgeRunner AI!

As a Forward Deployed Scientist, Alex will work directly with our military and national security customers.

Alex earned his PhD in Mathematics from @RutgersU in 2022. He then spent three years conducting computer vision research on geospatial imagery at @LockheedMartin. His subsequent work has spanned medical imaging, agentic AI for SaaS applications, and most recently LLM development at Susquehanna International Group.

[EdgeRunner AI @EdgeRunnerAI]

We're heading to @AFCEA TechNet Indo-Pacific 2026!

Alongside our partner @HP Public Sector, we'll be showcasing how domain-specific American Open-Weight AI supports the warfighter at the tactical edge.

Event: AFCEA TechNet Indo-Pacific
Date: October 26-29, 2026
Booth: HP Inc. #301
Location: Hilton Hawaiian Village

Learn more and register here: https://t.co/RL5anpmN2B

Contact us to schedule a meeting: https://t.co/BOHOGxarCw

[Ted Lieu @tedlieu]

Honored to join Representative James Walkinshaw and the amazing companies that are part of the American Innovators Network earlier this week!

[EdgeRunner AI @EdgeRunnerAI]

Our Co-founder and & COO Colton Malkerson participated in a roundtable discussion this week with Congressman Ted Lieu (@tedlieu), Co-Chair of the Bipartisan Task Force on Artificial Intelligence, and Congressman James Walkinshaw (@JamesWalkinshaw).

Alongside leaders from @ElevenLabs, @hippocraticai, and @a16z, Colton discussed the importance of Open-Weight models and how Congress can support American AI leadership.

Thank you to the American Innovators Network (@Innovators) for organizing this important discussion.

[EdgeRunner AI @EdgeRunnerAI]

We're heading to #AUSA2026!

Join us at @AUSAorg on October 12-14 in Washington, DC. We'll be showcasing our MOS-specific AI agents running locally on-device for the warfighter.

Learn more and register here: https://t.co/bMQiRttejR

[EdgeRunner AI @EdgeRunnerAI]

"The world doesn't need AGI, what it needs is domain-specific GPT-4 level models."

Check out this interview with our CEO @TylerXsaltsman on why the world doesn't need AGI, smaller domain-specific models will dominate, and how the future won't be one big mega-model.

https://t.co/Cn3MsuYwby

[EdgeRunner AI @EdgeRunnerAI]

We're hiring to support our growing work with the U.S. military and national security partners.

Research Scientist – you will join the EdgeRunner Research organization to train models, evaluate AI systems and harnesses, and bring world-class AI to the warfighter. A PhD in a relevant field is preferred, but we will also consider relevant research experience from time in industry, military, or government.

ML Engineer – you will build the foundations of the EdgeRunner Research organization. Behind every successful model is code for data acquisition, data processing, model evaluation, efficient parallelization, high-performance kernels, low-loss quantization and compression, and much more.

Candidates must be eligible to receive a TS/SCI clearance, and strong candidates will have an active clearance. Under federal law, U.S. citizenship is required to obtain a security clearance.

Learn more and apply here: https://t.co/sSoEvvBacY

[EdgeRunner AI @EdgeRunnerAI]

Great to be on Capitol Hill this week meeting with lawmakers to discuss the importance of Open Weight models for American AI Leadership.

We also celebrated the launch of the bipartisan House Innovators Caucus to support the Little Tech agenda.

Thank you @Innovators and @a16z for organizing.

[American Innovators Network @Innovators]

Yesterday, AIN brought together more than a dozen of our partner companies, AI startups and founders on Capitol Hill to celebrate the launch of the bipartisan House Innovators Caucus, led by @RepRussellFry and @RepSuhas.

Little Tech is showing up in Washington—and making its voice heard as policymakers shape the future of AI and American innovation.

@RunRehearsals @ambientai @trymirage @slingshotai_inc @cambercloud @scale_AI @ExiaLabsAI @EdgeRunnerAI @telnyx

[EdgeRunner AI @EdgeRunnerAI]

@Miguel_Growth @AFA_Air_Space Correct -- 100% locally on-device with no internet

[EdgeRunner AI @EdgeRunnerAI]

We're heading to the @AFA_Air_Space Association Conference!

We'll be showcasing how our AFSC-specific AI agents support military operations in contested environments.

Dates: September 14-16
Location: Gaylord National Resort & Convention Center
Booth: MB313

Learn more and register here: https://t.co/UL7d5jdwFd

[EdgeRunner AI @EdgeRunnerAI]

We're excited to share additional results on repetition loop reduction in our latest research paper, "When Can One Neuron Fix Repetition Loops in LLMs?"

In this update to our previous work, we (1) compare our method against Liquid AI's recently shared method for solving the same problem and (2) test our method not only with Gemma 4 models but also the LFM and Qwen model families.

Read the paper below or access it on @arxiv here: https://t.co/rYjFKpkobn

[EdgeRunner AI @EdgeRunnerAI]

We're heading to NGAUS 2026!

Alongside our partner @HP, we'll be attending 148th General Conference & Exhibition the hosted by The National Guard Association of the United States (@NGAUS1878).

Dates: August 28-31
Booth: 1732 (@HP)
Location: Indianapolis Convention Center

Learn more and register here: https://t.co/8kh1joaz0H

[EdgeRunner AI @EdgeRunnerAI]

Our CEO Tyler Saltsman joined @MorningsMaria on @FoxBusiness to discuss EdgeRunner-Camo, our new domain-specific LLM for the warfighter developed in collaboration with the US Army Artificial Intelligence Integration Center (AI2C). Watch here: https://t.co/DUxv8uyhtl

[Cheryl Casone @cherylcasone]

Join us now @MorningsMaria I'm in for @MariaBartiromo and we've got a big show ahead w/@TIFFANYMSMILEY
@SAMIRNKAPADIA
@CHERYLCASONE
@REPRYANZINKE
@LEONCFRA
@DANIELHOFFMANDC
@REPMIKELAWLER
@SONENSHINEJ
@TROYGAYESKI
@EDGERUNNERAI
@BEARTRAPSREPORT
@BNYglobal @MadisonAlworth

[EdgeRunner AI @EdgeRunnerAI]

We're excited to announce EdgeRunner-Camo, a new domain-specific LLM for the warfighter from EdgeRunner AI developed in collaboration with @USArmyAI (AI2C).

EdgeRunner-Camo achieves a 37% reduction in error rates across personnel, logistics, training, policy, weapons, and tactics, demonstrating how domain-specific LLMs can improve operational effectiveness.

Domain specialization, including for military functional areas, allows us to shrink model sizes by 10x and more while still achieving frontier-level accuracy on military tasks. Such efficiency is important not only for enabling edge deployment on each warfighter’s local hardware, but also for radically decreasing costs when hosting AI solutions in server-client architectures.

The work presented in this blog post represents our initial efforts with this dataset and use case. EdgeRunner-Camo is well suited as a generalist virtual assistant for the Army that can be deployed in-garrison on a wide variety of inference architectures or in the field at the tactical edge using EdgeRunner’s optimized inference runners.

Read the full details below ⬇️

[EdgeRunner AI @EdgeRunnerAI]

https://t.co/U6Pu51z3IK

[EdgeRunner AI @EdgeRunnerAI]

https://t.co/U6Pu51z3IK