I think the best case is to make the "monitor" as un-agentic as possible.
We don't mind being "monitored" by various random tiny insects we don't even notice, even guard dogs are fine, but we really do mind if it's a globally connected networked system. And the intermediate case, human security guards with no recording equipment, we mind only a medium amount.
The best idea I've come up with so far is to make these monitoring devices out of open-source verifiable hardware that has etched on it an open-weight LLM that classifies for a limited number of activities (basically, just violence; sorry, no scanning for jaywalking or not wearing a mask or drugs or unauthorized manufacturing or illegal immigrants, really just violence) and only records and forwards if that's what it sees. The device has no storage, no ability to load new algorithms, this is all it does.
Also, a hash of every recording is published onchain (and a device can't record the next one until it sees confirmation of the previous one) so we can all count how much recording is done.
Finally, everyone has a legal right to take any such device they see and grab it and dissassemble and verify the hardware themselves. Explicitly fund university clubs, hacker groups, etc to regularly do this.
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Anthropic just published an engineering guide on how to build always-on agents.
The biggest misconception: an always-on agent does NOT run 24/7. It sleeps almost all day, wakes up for short runs, saves state, and goes back to sleep.
The 5 core pieces I distilled:
1. Event Inbox
Put a database table between webhooks and your agent. Acknowledge webhooks fast, run only one active worker per user so runs never collide, and batch rapid messages together.
2. Timers
Keep timers in a separate table from the inbox. Split them into one-off follow-ups and recurring schedules. A background poller drops due timers into the inbox.
3. Lean Memory + Dreaming
Only store what cannot be looked up again: user instructions, user notes, past messages, and task progress. Load a small index at wakeup, not every file. Run periodic dreaming passes to clean out stale facts.
4. Unattended Permissions
Never put raw API keys inside the agent sandbox — inject them through an outside proxy. Use Deferred Tool Calls to pause risky actions for approval without blocking the worker.
5. Outbox
Queue outgoing replies so your agent paces notifications instead of spamming users at 3 AM.
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Todo el mundo habla del "harness" de los agentes de IA y casi nadie explica qué es
Una ingeniera de Google lo explica en 9 minutos y después arma en vivo un agente que se mejora solo. 1h35 gratis
0:00 Qué es un harness
1:40 Contexto y memoria
3:37 Herramientas y MCP
5:18 Sandbox y prompt injection
7:25 Cómo evaluar un agente
9:23 Agente que se mejora solo
1:00:04 ADK Optimize
1:10:41 Workflows con grafos
Compártelo para que a todos les llegue este conocimiento
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Rewards are now fully fixed and operational!
We've also re-injected 100% of creator fees back into the vault, reinforcing the ecosystem and ensuring rewards continue flowing to holders.
Everything is back on track.
$FLOW
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Dwayne Johnson spotted heading to the gym as he continues his recovery journey from a chronic infection and tuberculosis.
The Moral Collapse of the Chinese Crypto Community
To Elon Musk
2022–2023 marked the golden age of Chinese-language Twitter. Back then, there was no creator revenue you offered purely based on traffic. Two main groups of creators came here to share insights:
Influencers who migrated over with their followers after their Weibo accounts were banned.
Content creators who were already living overseas.
These people came with genuine intent to share, and they often uncovered valuable market alpha. Whether it was Bay Area Spaces, inscription research bloggers, or spot and secondary market analysts. Back then, everyone believed the next bull run would be bright. People expected their altcoin spot holdings would deliver at least 5–10x returns. After all, A16Z poured capital into projects left and right, and every so often, stories popped up of Gen Z traders hitting A8 and retiring financially free.
Then the tide turned. High-cap tokens pumped immediately upon launch. Instead of bringing fresh liquidity into the market, the ETF event drained what little liquidity remained, driven largely by Trump-related narratives.
The crash on October 11 was almost inevitable. Long before that, many had already lost everything on altcoins. That black-swan event merely liquidated whatever leveraged contract positions were left.
Starting around 2024–2025, after X rolled out creator ad revenue, a flood of traffic chasers emerged, catering to lowbrow audiences. These people do not trade crypto, nor do they care about any market narratives. They crossed over to this platform just to scrape together that tiny creator payout, as they have little footing in real life.
Consequently, we saw the worst tropes from mainland domestic social media spill over: gender polarization, disinformation, and bootlicking culture. While you tweaked the algorithm to curb plagiarism, the platform still fails to incentivize high-quality content. Plenty of boundaryless content farms still rack up views, and accounts that harass others relentlessly often evade effective reporting penalties. Meanwhile, posts from creators I used to follow have vanished from my timeline.
I kindly request that you strictly investigate accounts that distribute other users’ private information without consent.
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