1/5 A frank update from African Proofs. Our Flare validator's self-bond period has ended, and we couldn't secure the replacement capital it needed. So we're beginning to wind the Flare validator down. This one's on us. No spin.
I will be personally (nothing to do with Flare Foundation) providing the self bond to a good validator so they can stay in the system and not have to abandon their hard work.
5/5 To everyone who delegated to us: thank you for the trust. We don't take that responsibility lightly, and we're sorry to interrupt it. - African Proofs 🙏
4/5 This is the start of a wind-down, not a goodbye. We'll be working to bring the validator back - and if you're a long-term Flare holder who'd want to help make that happen, our DMs are open. We believe in what Flare is building.
Reminder: FAssets is a trustless, over-collateralized bridge system for bringing assets from non-smart-contract chains like XRP, BTC, and DOGE onto Flare.
Users mint an FAsset by locking/confirming the original asset, while the FDC verifies those external-chain actions and FTSO supplies decentralized prices.
AI agents might genuinely save crypto.
Not because they're smart. Because they're accessible.
$20/month. No coding background. Barely any time.
Anyone can deploy an agent that interacts with crypto and works while they sleep.
The barrier to entry just collapsed. 🧵👇
Three things AI agents will change for you:
Research. Building. Distribution.
Our co-founder Quantic (PhD), runs agents daily... breaks down exactly how he uses each one.
The honest take on content: "I don't fully trust what it creates yet. But it fixes my grammar, improves my flow, and gives me ideas."
That's the right way to use it.
Agent living on your computer > ChatGPT tab.
Delegation (FTSO) and staking (validator) rewards are funded by inflation.
Infrastructure providers earn rewards for supplying data to the FTSO, validating blocks, and providing attestations to the FDC. These rewards are based on performance and uptime, and are earned through both self-bonded/delegated tokens and fees from community members who delegate or stake to their services.
With inflation reduced from 5% to 3%, the total rewards available are lower. This impacts everyone in the ecosystem, including delegators, stakers, and infrastructure providers.
The number of comments suggesting that only delegators and stakers are being squeezed indicates this isn’t entirely clear. Infrastructure providers have also seen their rewards reduced by 40%, while the significant costs of running and maintaining the required infrastructure remain unchanged.
One important caveat is the upcoming minimum 20% fee, which is intended to support the long-term sustainability of operating an infrastructure provider. All current data providers already operate at a 20% fee, so there will be no impact there. Any effect will only be felt by those staking to validators currently charging less than 20% once the minimum fee is enforced.
Over two years ago.
When I talked about agent memory, people thought I was mad.
Smart people: Engineers, founders, executives.
They'd ask: what is this 'agent memory' thing? Why does it matter?
I didn't spend time trying to convince them.
I spent my time validating.
→ Built MemoRizz, an open-source Python library for agent memory
→ Started teaching memory engineering through O'Reilly
→ Joined @OracleDatabase and went all in — we shipped a Python package, ran #100DaysOfAgentMemory, and coined Memory Engineering as a discipline
This is the talk I gave at AI Engineer World's Fair last summer — one of the most-watched talks on agent memory at the time:
https://t.co/L2toEG9UVz
Fast forward to this month.
The pattern is impossible to miss:
→ Stephen Chin (Neo4j) on context graphs that capture decisions, not just data: https://t.co/lZleSwewHn
→ Anthropic on memory and 'dreaming' for self-learning agents: https://t.co/dAoahtwQKL
→ SallyAnn DeLucia (Arize AI) on hierarchical memory — after truncation and summarisation failed them: https://t.co/m6RdP5G1ik
And this month, Harrison Chase (LangChain) made the case in writing: your harness IS your memory. If you don't own one, you don't own the other.
What started as 'context engineering' is being recognised for what it always was: a memory problem. And it doesn't live in the context window. It lives across the entire agent harness.
Here is the takeaway:
It is the easiest thing in the world to repeat whatever Anthropic or OpenAI said this week.
It is much harder to be 6-12 months ahead. When you're early, you sound crazy. The only thing that gets you through is conviction backed by technical validation.
That, in one word, is Vision.
No one else can see your vision.
Your job as a leader is to make them see it.
Through what you build. Through what you teach. Through what you ship.
Memory is mainstream now. Good.
The team and I are already looking past it.
There is something coming next.
Something only a handful of people are positioned to solve.
We'll start telling that story in the coming months.
Stay close.
I think Flare might be the second largest user of XRPL escrow by asset value.
If you get a little bit creative the primitives that the XRPL offers can be used to do extraordinary things.
From @Krakenfx, @Binance, @cryptocom, @OKX → Flare DeFi in one withdrawal.
The new FAssets flow: set the tag once, then every XRP withdrawal arrives as FXRP, ready to deploy.