COO at @DataGuardiansNK. Ops, Marketing, Tech and Douglas Adams enthusiast. Work with a lot of the genus Anatidae. All views are mine.
London, England
Joined October 2013
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Finally, I'm delighted we can announce our entry into @nvidia Inception program. This is huge progress for @DataGuardiansNK - as we are only 4 months old.
NVIDIA Inception will give us huge growth potential - through expertise, support and technology.
After only 4 months, we are delighted to announce our acceptance into the @nvidia Inception program, the elite accelerator for start ups driving breakthroughs in AI.
This validates our focus: verified, ethical, human-powered datasets enabling the of AI. The trusted fuel for AGI is here - join the revolution!
#DGN #AI #NVIDIAInception #Data
Richard Johnson retweeted
The shift to agentic AI is accelerating.
@OpenAI's latest release pushes further into systems that can plan and execute tasks autonomously.
When this is applied to business, enterprise advantage won’t come from agents or models alone. It will come from who can apply sovereign data best in
- proprietary training loops
- protected datasets
- provable provenance and legal defensibility
When done correctly, this transition will enable huge growth opportunities.
theverge.com/ai-artificial-i…
Ethics is a huge deal in AI. As is true understanding of what it’s currently capable of - and to what extent.
This battle is showing that lack of regulation and ethical understanding for profit can have adverse effects!
As the USA's focus on Iran continues, @AnthropicAI - reportedly used in planning the recent strikes - refused to change their approach and remove safeguards around AI use in autonomous weapons and surveillance.
The response from Washington:
The company was labelled a “supply chain risk” by the Pentagon and Secretary Pete Hegseth.
Anthropic says it will challenge the move in court. So what did this show?
bbc.co.uk/news/articles/c3rz…
Richard Johnson retweeted
Here’s the shift 👇
Sovereign compute works best if the data pipelines are sovereign too.
That requires traceable or localized training.
Auditable datasets is a must have.
Traceable provenance becomes critical.
You also need controlled access environments.
Compute + Data = Competitive advantage.
That’s exactly why we built D-GN around human-verified datasets, on-chain proof layers and enterprise-ready data governance.
Sovereign AI isn’t just a chip story. It needs to be a full-stack data strategy.
Richard Johnson retweeted
Reuters reports that ECB President Christine Lagarde sees no wave of AI-led layoffs - yet.
AI isn't causing mass unemployment yet. But it isn't creating much for structured, accessible job funnels at scale either.
That's the gap.
If AI is reshaping labour, people need an on-ramp.
D-GN wants to help build the ramp.
✅ Human-led data
✅ Real AI learnings
✅ Verifiable contribution records
✅ Earn while you learn pathways
AI shouldn't just optimised companies. It should expand participation.
At D-GN, we're going to bring people into the loop. Properly.
reuters.com/business/ecb-see…
#AI #FutureofWork #DataEconomy
Richard Johnson retweeted
The UK-led international AI safety coalition has just got two new joiners - @OpenAI and @Microsoft.
They join governments, frontier labs and academic institutions backing the UK AI Security Institute’s global alignment effort.
This is significant for AI. The UK is positioning itself as a convenor of AI safety standards. Not just a regulator, but a coordinator of international safeguards.
As AI capability accelerates, influence will sit with those shaping evaluation frameworks, alignment benchmarks and safety testing protocols
These guardrails - who sets them and how companies can prove to be within them - is going to be critical.
🔗 gov.uk/government/news/opena…
Richard Johnson retweeted
#AI performance was never just a model architecture problem.
It's a data pipeline problem.
We've seen this firsthand building annotation infrastructures:
1⃣How data is sourced changes what a model can generalise
2⃣How it's annotated helps shape decision boundaries
3⃣How it's verified determines failure modes
4⃣How it evolves across cycles defines shelf life
What does this mean? Human-led annotation isn't optional - it's structural.
Richard Johnson retweeted
The next wave of competitive advantage won’t come from bigger models alone.
Unique, sovereign datasets will become critical.
They add true differentiation when combined with custom reinforcement cycles, human-aligned validation and transparent provenance.
The extra benefit is the communities that get trained alongside the AI itself.
Architecture scales. But alignment is engineered. At D-GN, we working to align the architecture with the world.
The speed of sovereign programs like in the #UAE and #KSA will outstrip attempts at multi-country cross-border collaboration.
Politics and speed don’t go together. AI moves too fast - and data standards are too important.
It’s why we built provenance into D-GN
The @UN approved a 40-member scientific panel to look at AI’s global impact - despite U.S. opposition.
That tells you everything about today’s AI landscape.
🌍 Many countries want multilateral oversight & coordinated guardrails.
🇺🇸 Others are wary of global governance frameworks that could constrain innovation or national control.
🇦🇪 🇸🇦 and some have built sovereign backed accelerators to maximise opportunity and standards.
We’re entering a split era of AI policy:
➡️ Global coordination vs national sovereignty vs regional links
➡️ Precaution vs acceleration
➡️ Collective standards vs competitive advantage
The outcomes will shape where models are trained, how data is governed and who sets the rules for the next decade of AI.
apnews.com/article/un-us-art…
Richard Johnson retweeted
One of the most viral open-source agent frameworks (and its creator) is joining @OpenAI.
Peter Steinberger and his creation, OpenClaw (formerly Clawdbot, formerly Moltbot), join as OpenAI push toward capable, autonomous agents that act across tools.
This shows agent momentum as a clear item on the core roadmap.
Agents move from assistive co-pilots to action-taking systems. These frameworks will have to be auditable and have provable training lineage for enterprise use.
The next AI race isn't just smarter, faster agents. It's also the auditable data that powers them.
cnbc.com/2026/02/15/openclaw…
Richard Johnson retweeted
The world is fragmenting. AI models are accelerating. Regulation speed is picking up (👀 @AnthropicAI's $20M funding for a regulation-forward super PAC)
Data is the leverage point in between. The next phase of AI won’t be defined by who has the biggest model.
If you make the best model, with the best data - and can prove where your data came from, how it was shaped, and who it benefits though...
In 2026, provenance isn’t optional.
It’s infrastructure.
#AI #DataGovernance #Provenance
Richard Johnson retweeted
Here’s the real shift:
When hardware removes bottlenecks, bad data becomes more damaging.
Faster chips ➡️ faster iteration
Faster iteration ➡️ tighter training loops
Tighter loops ➡️ higher demand for clean, structured, provenance-backed data
The hardware layer is evolving fast.
The data layer has to evolve faster.
That’s why D-GN is built for rapid-turn, verifiable datasets designed for next-gen compute. 🚀
AI is changing at every level. Most of these have a massive knock on impact - especially on data quality.
If you don’t have varied, high quality input…output is going to become garbage.
AI hardware is shifting. It’s no longer just about GPUs.
@cerebras just closed $1B at a $23B valuation - expanding its AI chip & compute infra (and signed a massive January deal with @OpenAI).
theaiinsider.tech/2026/02/09…
@OLIXComputing raised £220M+ to build photonic AI chips that reduce reliance on high-bandwidth memory:
ft.com/content/cba54e86-2b2a…
This is an architecture revolution for AI. 🧵
Richard Johnson retweeted
🇪🇺 European authorities raiding X is a sign of what is to come: nothing is just a platform issue - it’s a warning shot at AI training data.
As regulation moves from principles to enforcement, businesses will need to prove where data came from, how it was used and why.
Data provenance is becoming a massively important requirement for deploying AI at scale.
bbc.com/news/articles/ce3ex9…
A wild ride may actually be controlled from afar, it turns out. Data providence and locational accuracy are so important - as is knowing when the self-driving car you're in is relying on someone working long hours in a different country.
The recent news that @Waymo relies on remote workers in the Philippines to support “driverless” cars highlights a deeper issue in AI autonomy.
Driving isn’t just rules + sensors. It’s local knowledge: temporary road changes, unwritten behaviour, evolving layouts and context that shifts. When decisions are made via a multi-country mesh of remote operators, nuance gets lost.
If autonomous systems are to be trusted in the real world, where and how their decision data is generated matters just as much as the model itself.
Context isn’t global. It’s local.
futurism.com/advanced-transp… #DGN
Richard Johnson retweeted
Enterprise #AI is accelerating - accountability isn’t.
As @Reuters highlights, boards are being pushed to oversee systems they can’t fully audit. @McKinsey data shows the winners won’t just scale models, they’ll scale trust.
Provenance, ethical data and auditability are becoming baseline requirements for deployment...
Reuters: reuters.com/sustainability/b…
McKinsey: mckinsey.com/capabilities/qu…
Richard Johnson retweeted
🚨HISTORY MADE: This breakthrough unlocks the multi-trillion #Saudi real estate pipeline surging on-chain, slashing settlement to seconds, supercharging liquidity and opening FDI floodgates for #Vision2030 giga-projects. #RWA
zawya.com/en/business/real-e…
Richard Johnson retweeted
Apparently, @AnthropicAI’s recent releases have impacted legal-software stocks.
As agentic systems move into workflows, the question moves from ‘what can they do’ to ‘how they were trained, promoted and governed.’
A poorly prompted or scoped AI “co-worker” can quickly become a quality issue, even if the model is strong.
Provenance, process and auditability are starting to matter more to markets - not just regulators.
sg.finance.yahoo.com/news/wh…
