
KubeCon Cochair/Keynote, KCD organizer, CNCF ambassador, founding member @realwasmedge; @Olares_OS: K8s-based, secure local execution environment for AI agents
Austin, TX
Joined October 2012
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We run and deploy autonomous AI agents to max our productivity, but we are running them on leased, centralized infrastructure. This is the great paradox of the current AI boom.
Advocating for the cloud-native ecosystem as a CNCF Ambassador has made one thing clear: the future of AI cannot be a black box controlled by a few massive corporations. If we want true innovation, we need infrastructure that developers and users actually own.
At the upcoming Open Source Summit Korea, I am presenting: Open Source AI Agents on User-Owned Infra.
The tools to reclaim our infrastructure exist.
What is your current biggest hurdle when deploying AI agents on your own infrastructure? Let me know below.
MortyC137 retweeted
Bring Hermes Agent into your SSH workflow.
With Hermes on Olares, you can let it work on a connected machine within the permissions you configure.
Read the guide 👇
olares.com/docs/use-cases/he…
Registered for Grace Hopper 2026?
@CloudNativeFdn is offering complimentary tickets to KubeCon+CloudNativeCon North America.
@CNCFAmbassadors
Your next collaborator, mentor, or career opportunity could start there
↓ Share with someone who could benefit.
events.linuxfoundation.org/k…
BTW, @Olares_OS will have a talk delivered by @SaiyamPathak and @ghumare64 at the colocated Kubernetes on Edge Day! events.linuxfoundation.org/k…
See you there!
This Navier-Stokes math controversy just exposed the hard truth: your API logs and prompts are their training data. If your code actually matters, you cannot rely on centralized cloud AI.
Take back control of your data today: github.com/beclab/Olares
>sam altman: "we tried this because there were rumor on the internet"
>rumor: math professor close to solving navier-stokes
>the professor: using codex for a year
>openai: has all his logs
>checked every codex session tagged to N-S
>found the most promising one
>spun up 10,000 agents to finish the proof where he couldn't
>they got caught
>told the guy if you say anything you'll destroy your own career
>he ruins his career over this
>openai: "we did not see his work"
>also openai: "we cannot rule out that de-identified data from their usage helped improve our models"
they stole it lmao
We need to reclaim our data. OlaresOS puts the LLMs, agents and the data on hardware you control, like your linux machine, or NVIDIA gpus.
No cloud. No contractors. No “oops.”
A man left his Ray-Ban Meta glasses recording in a bedroom. His wife walked in and undressed. A worker in Kenya watched the whole clip.
That is not a hack. That is not a leaked file. That is how the product works.
Here is the full story.
The BBC and Swedish newspapers Svenska Dagbladet and Goteborgs-Posten investigated a Nairobi outsourcing company called Sama in early 2026. Sama is a Meta subcontractor. Meta paid Sama workers to review video and image data from Ray-Ban Meta smart glasses to train Meta AI.
One worker's words to the reporters: "We see everything. From living rooms to naked bodies."
Workers told the papers they saw glasses users going to the toilet. Having sex. Watching pornography. And that one bedroom clip.
Meta says filtering is supposed to blur faces in images. Sources who spoke to the Swedish papers said sometimes the blurring failed and people's faces could be seen.
Meta sold 7 million Ray-Ban Meta glasses in 2025. They look like normal Ray-Bans. Wayfarers. Aviators. The camera is in the right corner of the frame. Most people never see it.
Here is the part most owners never read.
On April 29, 2025, Meta updated its Ray-Ban Meta privacy policy for the United States. Meta's exact wording to US users, reported by The Verge: "The choice to turn off voice recordings storage is no longer an option, but you can remove recordings at any time through settings."
Before that update, US owners could turn off cloud storage of their voice recordings. After that update, they cannot.
When storage is on, Meta's own Voice Privacy Notice says voice transcripts and recordings are kept for up to one year to help improve Meta's products, including training Meta AI.
Unintentional voice activations, the ones where the glasses thought they heard "Hey Meta" but you did not say it, get deleted after 90 days. Everything else stays for a year.
There is no auto-delete for the intentional recordings. You have to open the app and delete them one at a time.
And when someone says "Hey Meta, what am I looking at," the camera fires and sends the image to Meta's cloud. Some of those images get routed to human contractors like the ones in Nairobi. Meta confirmed this to the BBC.
Here is what happened after the Swedish investigation.
The UK Information Commissioner's Office wrote to Meta calling the claims "concerning" and asked how Meta is meeting its obligations under UK data protection law.
On March 4, 2026, Clarkson Law Firm filed a class action lawsuit against Meta in federal court in San Francisco. The named plaintiffs are Gina Bartone of New Jersey and Mateo Canu of California. Consumers say they believed content recorded by the glasses remained private.
Less than two months after the Swedish investigation was published, Meta canceled its contract with Sama. Sama said the cancellation would result in 1,108 Kenyan workers being made redundant. Meta said it ended the work because Sama "don't meet our standards." Sama pushed back publicly: "At no point were we notified of any failure to meet those standards, and we stand firmly behind the quality and integrity of our work."
A Kenyan worker organization said the real reason was different. Naftali Wambalo of the Africa Tech Workers Movement told the BBC: "What I think are the standards they are talking about here are standards of secrecy."
Now here is the 5-minute action if you own a pair. Every setting below is inside the Meta AI app on your phone. Tap the Glasses icon in the top right, then Device settings.
Setting 1: Delete your voice history. Go to Glasses privacy, then Voice activity log. Tap Delete all. Everything you have ever said to your glasses after "Hey Meta" comes out of Meta's stored library the moment you delete it. There is no auto-delete. You have to do this yourself.
Setting 2: Turn off Cloud media. Glasses privacy, Cloud media toggle, off. When it is on, every photo and video you capture gets uploaded to Meta's servers for 30 days. When it is off, captures stay on your phone unless you share them.
Setting 3: If you are willing to give up hands-free, fully disable "Hey Meta" voice commands. That stops the camera from firing on voice queries and stops new voice data from being stored.
Setting 4: Never say "Hey Meta, what am I looking at" in a private space. That specific command sends the image to Meta's cloud and puts it in the queue that human contractors can see.
Here is the last thing.
You are the product. Your voice is the training data. Your camera roll is the training data. Your bedroom is the training data. Meta took the voice-storage opt-out away from Americans on April 29, 2025, and did not send a push notification about it.
The little white light on the front of the glasses tells you when someone else is recording you.
Nothing tells you when Meta is recording you.
Send this to one person who owns a pair.
Cloud AI represents an unacceptable liability.
github.com/beclab/Olares
We are building the infrastructure for absolute privacy.
MortyC137 retweeted
终于官宣了,KCD Beijing 明年 3 月继续 😁
欢迎大家一起来玩!
Kubernetes Community Days are kicking off for H1 2027! 📍
These community-organized events bring open source practitioners together for local technical learning and networking.
We also updated our structure so first-time KCDs are now Tier 0 and Tier 2 events are Independent to better support organizers as they scale.
Check out the full H1 lineup on the blog: bit.ly/4x4xr7U
MortyC137 retweeted
Appreciate the spot-on recommendation!
¡Muchas gracias!😄
¿Y si tu propia computadora pudiera convertirse en una nube personal y servidor de IA?
Olares es un sistema operativo gratuito y open source pensado para transformar tu hardware en una infraestructura personal. Permite almacenar y gestionar tus datos, alojar aplicaciones, ejecutar modelos de IA y acceder a tus servicios desde cualquier lugar.
Una propuesta interesante para quienes quieren reducir la dependencia de las grandes nubes y tener su propia infraestructura en casa.
nosubscription.org/software/…
Continuing my ambassadorship with @CloudNativeFdn
Also I’ll be heading to KubeCon + CloudNativeCon China Sept 6-9! and I’ll be on stage emceeing the Lightning Talks!
Excited to meet people working on cloud-native AI
Wanna join us in Shanghai? DM for discount code @linuxfoundation
View my verified achievement from @linuxfoundation. credly.com/badges/fa2539ce-2…
MortyC137 retweeted
We’re heading to IFA 2026—and we want our community there with us.
We’re giving away 8x IFA 2026 2-DAY-TRADE-VISITOR-TICKETS (worth €99 each)!🎟️
How to enter:
1️⃣ Follow @Olares_OS
2️⃣ Like this post
3️⃣ Reply: Tell us what kind of Olares One demos you’d love to see live in Berlin.
Schedule & details below 👇
#IFA2026 #OlaresAtIFA
Strong performance from smaller models is great news for local AI.
Run the right model—privately, efficiently, and close to the data and tools that matter.
This is why the local AI infrastructure layer matters.
Smaller, faster models are making AI more accessible—but lower cost per inference does not necessarily mean lower total demand. When intelligence becomes cheaper, it can move into more devices, workflows, and always-on agents.
Wow free broadway shows tickets!
MortyC137 retweeted
Qwen 3.8-27b is out now on #Olares Market. 🫡
olares.com/market/app/market…
We promised open weights for Qwen3.8. Now, time to meet them! 🎉
⚡ Qwen3.8-27B:
- A native multimodal dense model. With just 27B parameters, it outperforms Qwen3.7-Plus overall and shines in real-world coding & office workflows.
- 262K native context, easily extendable to 1M tokens via YaRN.
- Built for builders. Highly efficient, high-quality, and licensed under Apache 2.0.
🚀 The open weights for Qwen3.8-2.4T-A95B (Max-level) have also been released recently.
Whether you're shipping lightweight applications with Qwen3.8-27B locally or building agents with Qwen3.8-2.4T-A95B, they're yours now!
Download, deploy, and build something we haven't imagined yet. 👀👇
- Hugging Face:
huggingface.co/collections/Q…
- ModelScope:
modelscope.cn/collections/Qw…
Why?
1. The gap between open source models and frontier models narrowed to 4 months.
With fine-tuning, it can often surpass the general closed-source model in specific tasks.
2. The cost advantage
3. Control, privacy and compliance. Data!
4. The fine-tuning tool chain has matured




























