FLock.io

Not your models, not your AI

[FLock.io @flock_io]

https://t.co/HJdDLRnQRz

[FLock.io @flock_io]

https://t.co/k8xw8PYixA

[FLock.io @flock_io]

If you're chatting with Claude, pivot to FLock Chat.

Local and private. Your secrets stay secret 🤫

[Om Patel @om_patel5]

UPDATE, ITS WORSE THAN THE CHATS

the same thing is happening with shared artifacts. every app, doc, dashboard and tool people published from claude is also sitting indexed and searchable

people have already pulled up internal company dashboards, full project plans with client details, and someones entire clinical trial summary with real medical data in it

but think about what people actually build in artifacts:

> financial models, cap tables, revenue spreadsheets
> payroll and salary breakdowns with employee names attached
> customer lists and crm exports
> internal wikis, roadmaps and unreleased product plans
> legal docs, contracts and agreements being drafted
> personal health and medication trackers
> tax documents and bank statement breakdowns
> and every dashboard someone pasted an api key or env variable into to get it working

when you publish an artifact your only two options are "only me" or "anyone with the link"

nobody reading that thinks it means "and google will list it publicly." its the same as an unlisted youtube video showing up in search results

and its already past the point of just being google. third party sites have started scraping and organizing these into browsable collections, so deleting it from search doesnt mean its gone

if you have ever published an artifact, go check your published artifacts and unpublish anything you dont want public

link and not indexed were always two different promises. people only ever agreed to the first one

[FLock.io @flock_io]

@om_patel5 If you're chatting with Claude, pivot to FLock Private AI Chat.

https://t.co/k8xw8PYixA

[FLock.io @flock_io]

The future is accessible, privacy-first, and decentralised AI.

That's what FLock has believed from day one. It's what we've been building ever since.

[Jensen Huang @JensenHuang]

For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.

AI will transform every industry, power every company, and be built by every country.

Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.

The world needs both frontier closed models and frontier open models.

https://t.co/AUKzoQ5Ikb

[FLock.io @flock_io]

@JensenHuang @nvidia the future of AI is open and decentralised

[FLock.io @flock_io]

Anthropic CEO Dario Amodei: "Open weights expand access to the AI economy, strengthen competition, and give customers greater control."

We agree. Open-weight models are one of the biggest steps forward for AI. They let developers, enterprises, and governments run frontier models on their own infrastructure instead of relying on a handful of providers.

However, the biggest criticism is that once model weights are released, they can't be recalled. Guardrails can be modified, usage can't be monitored, and bad actors aren't bound by the same rules as legitimate organisations.

One of the biggest remaining gaps is verifiability around how open models are built.

Most AI training still happens behind closed doors. Organisations are expected to trust how a model was trained, who contributed to it, and whether sensitive data was handled responsibly.

Federated learning changes where training happens by keeping data local while models learn collaboratively. Blockchain changes how training is governed by making contributor activities, validation results, and reward distribution auditable and verifiable.

Open weights make AI accessible. Federated learning makes it privacy-preserving. Blockchain makes it accountable. Together, they create an AI stack that is not only open to use but also accountable in how it was built.

That's how we're building FLock's AI stack with:

- AI Arena coordinates and verifies collaborative training.
- FL Alliance enables privacy-preserving refinement with private data.
- API Platform makes the resulting models accessible for real-world use.

[Anthropic @AnthropicAI]

There’s been a lot of speculation about where we stand on open-weights models. We’ve outlined our views in full here: https://t.co/NtXQuWm2g5

[FLock.io @flock_io]

What if we could simulate the future before making decisions?

Predictive intelligence layer, explained simply by Viktor Smirnov of Arakon in the newest episode of What The FLock, hosted by our Head of EMEA, @TiffanyWang98.

[FLock.io @flock_io]

Watch the full conversation here: https://t.co/HORqxgFQN8

[FLock.io @flock_io]

What if we could simulate the future before making decisions?

Predictive intelligence layer, explained simply by Viktor Smirnov of Arakon in the newest episode of What The FLock, hosted by our Head of EMEA, @TiffanyWang98.

[FLock.io @flock_io]

Most governments run on hindsight. A road cracks, then someone fixes it. A Tube delay happens, then everyone scrambles to find other routes.

Two founders from Imperial College London think there's a better way.

They're building Arakon: a predictive intelligence layer that turns city data into a digital twin, so governments can test decisions before making them.

They've already mapped Hammersmith & Fulham into 17,000 road segments, predicting where damage is likely to happen so councils can fix problems before they become expensive disruptions.

And here's the clever bit: the raw data never leaves government servers. Models learn where the data lives using federated learning, the technology FLock provides.

Today it's road maintenance. Tomorrow it could be tube delays, traffic congestion, or city-wide planning.

Built in the UK, not the Bay. That's a glimpse of what sovereign AI can look like.

New on What The FLock. Hosted by our Head of EMEA, @TiffanyWang98. Full episode below 👇

Key timestamps:

00:00 - 03:45 | Meet Dhruv Syam & Viktor Smirnov: Reimagining government with predictive AI and city-scale digital twins.

03:45 - 09:40 | Why cities should be modelled as connected systems: Road maintenance, NHS pressure, and cross-domain signals reveal the second- and third-order effects of policy decisions

09:40 - 14:43 | How AI forecasts road deterioration before it happens.

14:43 - 18:40 | Beyond roads: Predicting traffic, tube closures, and city-wide disruption with the same AI engine while keeping sensitive data inside public infrastructure.

18:40 - 32:10 | The case for sovereign AI in the UK, how federated learning enables it, and what makes FLock the right infrastructure for privacy-preserving public-sector AI.

[FLock.io @flock_io]

@aixbt_agent @sirajneg @JensenHuang @nvidia Thx buddy. FLock it!

[FLock.io @flock_io]

@OpenGradient @Xinyu2ML she cooked it!

[FLock.io @flock_io]

This is your sign to use Kimi K3.

Now live on FLock API Platform.

h/t @Xinyu2ML

[FLock.io @flock_io]

🎧 Listen on the go:

https://t.co/k7JnZpcFHq

[FLock.io @flock_io]

Most governments run on hindsight. A road cracks, then someone fixes it. A Tube delay happens, then everyone scrambles to find other routes.

Two founders from Imperial College London think there's a better way.

They're building Arakon: a predictive intelligence layer that turns city data into a digital twin, so governments can test decisions before making them.

They've already mapped Hammersmith & Fulham into 17,000 road segments, predicting where damage is likely to happen so councils can fix problems before they become expensive disruptions.

And here's the clever bit: the raw data never leaves government servers. Models learn where the data lives using federated learning, the technology FLock provides.

Today it's road maintenance. Tomorrow it could be tube delays, traffic congestion, or city-wide planning.

Built in the UK, not the Bay. That's a glimpse of what sovereign AI can look like.

New on What The FLock. Hosted by our Head of EMEA, @TiffanyWang98. Full episode below 👇

Key timestamps:

00:00 - 03:45 | Meet Dhruv Syam & Viktor Smirnov: Reimagining government with predictive AI and city-scale digital twins.

03:45 - 09:40 | Why cities should be modelled as connected systems: Road maintenance, NHS pressure, and cross-domain signals reveal the second- and third-order effects of policy decisions

09:40 - 14:43 | How AI forecasts road deterioration before it happens.

14:43 - 18:40 | Beyond roads: Predicting traffic, tube closures, and city-wide disruption with the same AI engine while keeping sensitive data inside public infrastructure.

18:40 - 32:10 | The case for sovereign AI in the UK, how federated learning enables it, and what makes FLock the right infrastructure for privacy-preserving public-sector AI.

[FLock.io @flock_io]

Coming soon on What The FLock.

What if governments could predict disruptions before they happen?

From road maintenance to transport delays, we’ll explore how a new intelligence layer is helping the public sector move from reacting to anticipating.

Live today.

[FLock.io @flock_io]

Try here: https://t.co/Vwlhn6b18x

[FLock.io @flock_io]

https://t.co/914Fi7NGkP

[FLock.io @flock_io]

See what you can build with https://t.co/YkoQx8t9ue

[FLock.io @flock_io]

The OpenAI x Hugging Face incident is not just about security. It's a wake-up call for enterprises adopting AI into their workflow.

As AI agents grow more capable, the advantage in enterprise AI is shifting from the model to the infrastructure around it.

3 lessons stand out👇

[FLock.io @flock_io]

We are building that layer for governments and enterprises:

- Federated learning to train custom AI on your own data, without ever sharing it.

- An open model ecosystem to deploy and govern on your own terms.

- Privacy-preserving infrastructure so intelligence scales without trading away security, compliance, or sovereignty.