Our Imperatives:
- Advance the capabilities of AI through real-world application.
- Strengthen human-machine integration by aligning AI with elite operational experience.
- Position veterans as strategic leaders in the evolution toward autonomous systems and robotics.
#Veterans
This is an unbelievably brilliant experiment that sheds light on so many details regarding the reasoning of large language models.
Simultaneously it brings up so many more questions!
The J-Space! 🤯
What’s at the center of Claude’s mind? https://t.co/5OXJ2p1DeV via @YouTube
Between the Genesis Project and all the incredible innovation happening across artificial intelligence, biochemistry, quantum computing, and medicine, there is no doubt that we need greater collaboration between the public and private sector.
Amazing to see the collaboration between @awscloud AWS and @DOEE_DC Department of Energy and the Trump Administration.
Technology is advancing rapidly.
Build!
@AltivumAI
Quantum computing sits outside most production roadmaps. The hardware remains noisy, and classical compute is the correct choice for nearly every workload running today. That calculus is sound. It is also rapidly changing, because two developments warrant attention.
The first is security. A sufficiently powerful quantum computer can break the encryption that protects most of the internet, and the exposure is not deferred to that moment. Encrypted data captured today can be decrypted once the hardware matures, so any information that must stay confidential for the next decade is already at risk. NIST finalized post-quantum standards in 2024, and AWS supports them today in KMS, ACM, and Secrets Manager.
The second is talent. Roughly 30,000 people can currently work in quantum, against a projected 250,000 roles by 2030. The constraint is not a physics PhD but rather the hybrid practitioner who can implement a quantum routine inside a cloud environment. The builders who develop that fluency now will be positioned well before the technology reaches broad-scale production.
The on-ramp already exists in your console. Amazon Braket runs on the same IAM roles, the same S3 buckets, and the same bill as everything else you provision. You debug on free local simulators, then run on real hardware for a few dollars.
My latest article, published last week on AWS Builder Center and now here on LinkedIn, is a letter to builders on why this matters and how to take that first step.
Since publishing it, the timeline has become concrete.
On June 15, QuEra and AWS expanded their collaboration to bring Libra, the first fault-tolerant quantum computer aimed at scientifically relevant problems, to Amazon Braket by 2028.
The specifications are notable: more than 256 error-corrected logical qubits and roughly one million reliable logical operations. Libra is not one larger chip. It is an architecture, assembled from a stack of peer-reviewed milestones, arguing that fault tolerance at scale is now an engineering roadmap rather than a research aspiration.
That is the subject of my next piece. It goes up on AWS Builder Center first, before it reaches LinkedIn. The current article is linked in the comments, and following me on Builder Center is how to read the Libra breakdown when it drops.
Check out the latest article in my newsletter: Dear Builder, Welcome to Quantum Computing https://t.co/EZgxl3kAYe via @LinkedIn
I gave Claude Cowork access to the codebase Claude Code and I have been working on.
These are the products it was able to put together:
User-Facing Documentation
User guides and getting started tutorials
Feature documentation and how-to articles
FAQs and troubleshooting guides
Release notes and changelog
Help center content
Technical Documentation
API documentation
System architecture overview
Database schema and data dictionary
Integration guides for third-party connections
Security and compliance documentation (SOC 2, HIPAA if relevant to veteran data)
Internal/Operations Documentation
Deployment and infrastructure runbooks
Incident response procedures
Monitoring and alerting documentation
Backup and disaster recovery plans
On-call playbooks
Business & Legal Documentation
Terms of Service
Privacy Policy
Service Level Agreement (SLA)
Data Processing Agreement (if handling customer data)
Acceptable Use Policy
Sales & Marketing Documentation
Product one-pagers and pitch decks
Competitive analysis
Pricing documentation
Case studies and testimonials
Demo scripts
Internal Process Documentation
Onboarding guides for new team members
Support escalation procedures
Feature request and bug tracking processes
Blown away by the possibilities. @claudeai | @AnthropicAI | @bcherny
#cowork #code #Entrepreneur #BusinessGrowth @AltivumAI
Today marked the first Clarksville on the Cloud™ Builder's Session, and what a phenomenal turnout!
A room full of builders, innovators, veterans, service members, and entrepreneurs, all dedicated to bringing their ideas to life on @awscloud
From launching websites on AWS Amplify to exploring possibilities with Amazon Bedrock, today was a great day to bring to life new ideas.
In that spirit, we also brought an exciting announcement to the Clarksville community.
I'm thrilled to announce the official AWS User Group - Clarksville!
AWS User Groups are community-led spaces where builders learn from peers, network locally, and collaborate. We'll host AWS Community Days featuring technical talks, workshops, and hands-on labs that enable real peer-to-peer learning.
Whether you're a veteran, student, entrepreneur, or someone curious about building something new—this is for you. AWS skills apply across every domain, and we're bringing this learning opportunity here to Clarksville, TN.
Join us. Follow the official LinkedIn page and sign up for the AWS User Group to stay connected as we build together.
@awsdevelopers@AltivumAI@clarksvillenow@Q108Clarksville@austinpeay
Closed and open-source models can coexist.
Thrilled to see what @DeepNodeAI is building and excited to explore their ecosystem.
@AltivumAI leads the way in veteran advocacy in AI and what better way than by contributing to specialized domains. #DeepNodeAI
Every veteran carries skills, values, and grit forged in service.
VETROI™ by ALTIVUM™ INC. turns that data into measurable growth.
https://t.co/URxkGulOk1
Securely deploy and operate AI agents at any scale. Amazon Web Services (AWS) offers applications with powerful agents available off-the-shelf that can leverage your data to improve productivity and aid data-driven decision making.
Model flexibility matters. When you migrate generative AI to Amazon Web Services (AWS), you can access Amazon Nova, Anthropic Claude, and Meta Llama through one API. It's not about the best model - it's about the right model for your use case.
Migrating generative AI to Amazon Web Services helps you meet strict compliance needs, protect sensitive data with built-in controls, and operate confidently in a secure cloud environment.
First book in the @AltivumAI Book Club!
Bringing you the best books on AI, Entrepreneurship, and Veteran-authored must-reads.
Altivum Book Club - Co-Intelligence: Living & Working with AI by Ethan M... https://t.co/41Lpf1J288 via @YouTube
Vector: Issue 03 is now live!
Read it on Beehiiv:
https://t.co/GL4ZVHclVo
or Listen on Spotify:
https://t.co/CoOtxhE5DF
Episode will air on Apple Podcasts later today.
Vector is live.
Our weekly newsletter explores the intersection of AI, Defense, and Business.
Issues 1 & 2 are out now.
📖 Read here: https://t.co/GL4ZVHcTKW
🎧 Listen on Spotify
https://t.co/WHzgVFcBck
or Apple Podcasts
https://t.co/IYpxQpLC5X