There's a good reason THORChain's being smeared online after the recent exploit: symbolism.
The protocol has become the symbol of permissionless finance.
When it dared to try to resist censorship, it painted a massive target on its back. Now, people who champion permissioned protocols are piling on, because permissionlessness is a threat to them.
And yes, even architects of other permissionless protocols are joining in out of pure envy.
THORChain is technology filled with innovation and genius, flaws and mistakes. But, like it or not, in this moment it represents much more than just itself.
Stand with the THORChads, not because you like them, but because right now, they're at the front lines of the war for freedom.
Asgard calls for aid.
@Sovereign_Matt It’s more like “hey Claude, suggest a short term trade for this chart with take profit and stop loss”. And holding VULT will probably give you access to LLM tokens.
thorchain integrating native XMR, ZEC, DASH, and TAO swaps into rapid swaps. largest monero DEX pool right now is $2.3m on sushiswap. a $100k swap moves price 4-6%. thorchain has $360m in TVL. even 3% allocated to privacy pairs instantly becomes the deepest non-custodial venue for these assets by 5x. binance delisted XMR in multiple regions. robinhood restricted ZEC to withdrawals only. CEX liquidity is shrinking while demand stays constant. that volume has to go somewhere. RUNE captures fees on every swap through the network. token is at $2.10, down 83% from ATH. if privacy pools pull even $15-25m/day in volume that's a meaningful revenue catalyst for a protocol doing $1.2b/month. the arb bots will LP these pools day one to capture CEX-DEX spreads, solving the cold start problem. early LPs on privacy pairs will likely see 25-35% APY from boosted incentives before compression. thank you for flying THORChain airlines, where your seatmates include monero and zcash and nobody checks your boarding pass.
I love when my decentralized 1of1 gets hacked and then the decentralized 8 of 12 helps get back the money
But then i blame 67 out of 100 (anon nodes on THORChain) for not freezing the chain
@iceman00008@vultisig Very very cool… just another breakthrough like this for the vault share management and it becomes the absolute best wallet out there.
Update on the $10/month AI bot experiment -
reality hit hard!
Here is how it went down.
I'm running a multi-agent setup:
- Chiti (coordinator)
- Vasi (dev)
- Sana (marketing)
- Nila (content)
- Boran (finance)
Yesterday Sana did SEO research for @TweetsMashApp marketing and updated in Notion.
Everything smooth. Beautiful.
Then I asked Chiti to automate invoices for monthly taxes.
BOOM.
Continuous "Context overflow" issue. All agents crashed. Massive blackout.
Gemini CLI OAuth? Soft-banned within hours.
OpenAI Codex OAuth? Soft-ban Jail.
Free models? "Model not allowed" errors.
The fallback wasn't switching automatically.
Had to manually dig into config.json and debug.
Switched to openrouter/moonshotai/kimi-k2.5.
Bot's alive again but experiencing latency issues.
Current status:
- OpenRouter credit: $5.63 left of $10
- Total spent debugging: ~$4
- Primary model: kimi-k2.5 (working but slow)
- OAuth: disabled for now (soft-ban risk)
The hard truth from @ImNotTheWolf - "It can't be cracked cheaply yet. Clawdbot basically NEEDS Opus 4.5 or GPT-5.2-Codex for reliability. Need to wait for another 6 months to make it less cost".
But I'm not giving up. Let me try fixing the context management first.
Chiti coordinating 5 subagents = context exploding to 50K+ tokens.
OAuth won't save you if your agents keep bloating the context window.
What I'm trying next:
1. Qdrant vector memory - externalize context so prompts stay small, bot queries on-demand instead of carrying 50K+ tokens (h/t @mej26vPIJx22495 for this suggestion in Tamil 🙏)
2. QMD local search - lightweight on-device doc search to reduce API calls
3. Heartbeat + Auto-Doctor - batch non-urgent tasks, monitor context size, auto-restart before overflow (h/t @ImNotTheWolf for sharing these scripts 🙏)
4. One model per subagent - isolate context per agent instead of shared bloating.
Maybe @ImNotTheWolf is right. Maybe cheap models can't handle complex multi-agent coordination.
Truth is, output from Opus 4.5 is extraordinary. Nothing beats it right now.
But we can't wait until it's affordable for everyone. Until then, let's figure out how to power our bots with less cost.
What if the problem isn't the model intelligence - it's how we manage memory?
Will find out. Experimenting with $5.63 left.
Will share the Qdrant + QMD setup once I test it.
Any recommendations/suggestions on this is appreciated.
@IncroyableNom@gmoneyNFT I'm running openclaw on ubutu, inside a AWS EC2 instance, having to type openclaw gateway restart several times, although updating the openclaw version has brought more stability.
Finally cracked the $10/month AI bot spend after today's epic chaos.
Here is how it went down.
Yesterday many of you suggested trying Kimi-2.5 and OpenRouter free models to save costs.
Thanks for that!
I tried to implement them, but realized Kimi-2.5 needs the latest OpenClaw core to run properly.
Today, a long article & dev task caused a massive context overload. Blackouts everywhere and all models failed with rate limit errors.
$20 credits vanished in minutes.
I had to flush memory and kill processes manually. Then I officially upgraded from Clawdbot to OpenClaw:
npm install -g openclaw
openclaw doctor
npm uninstall -g clawdbot
Once upgraded, I added the OpenRouter safety net:
DeepSeek for coding
Kimi K2.5 for creative/multimodal
Grok for reasoning
Opus 4.5 & Gemini pro only when needed.
Bot now runs smooth. Mostly free models for daily pings, paid only for complex logic.
Spend is now capped at $10/month. No more token panic.
This is my current stack,
I'll update you in coming tweets, how much does it cost exactly.