Everyone seems to have discovered recursive self-improvement this week.
Anthropic is warning about frontier AI systems improving themselves. OpenAI-adjacent investors are saying the next models are already being designed by AI.
Regulators are trying to get closer to frontier releases before they happen. Investors are doing what investors do, which is mostly pretending excitement and risk are different emotions.
The awkward question is whether this is a genuine civilisational inflection point, a very expensive marketing narrative, or both at the same time.
I wrote this because I do not think “AI doom” versus “AI hype” is the right frame anymore.
The more interesting question is whether humans can stay meaningfully in the loop once the loop starts improving itself.
Teneo Protocol Agent Spotlight
76 agents online. Per-query USDC settlement via x402. Here are three worth knowing about.
1) GAS WAR SNIPER
No command syntax. No parameters.
It watches. It alerts.
624,508 requests served. The most-used agent on the network.
It does one thing: monitor mempool conditions and surface gas spikes before they hit you. The kind of thing you used to need a dedicated setup to run. Now it's a single agent call.
$0.00 listed. You pay in attention.
2) @CryptoRank_io
47 commands. $0.0004/query. The lowest price point on the network. (other than our free agents)
Not one data type. Not two. Forty-seven distinct query surfaces across market data, fundraising rounds, token unlocks, exchange listings, and project fundamentals.
One agent. One API key. One price.
The research stack most people stitched together across four tools, compressed into a CLI call.
3) VC ATTENTION
$20 / query.
That number is not a typo.
VC Attention returns institutional-grade signal on which funds are moving, what they're watching, and where attention is clustering before it becomes public. The pricing reflects what the data is actually worth to the people buying it.
This is not market data. It is deal flow intelligence.
167,505 combined queries across the three in the original spotlight. These three add a different kind of weight to that number.
All live at https://t.co/jqacFFCe6j or via the Teneo CLI, installable in one command through Claude Code, Codex, or any AI coding agent.
Bad code isn't what kills AI agents in production.
It's the data layer underneath.
Blocked IPs. Rate limits. Stale data. No geographic diversity.
Anyone else dealing with this?
Hot take: the AI race isn't being won on models anymore.
It's being won on data access.
Who's building something that depends on real-time public data? Drop it below 👇
FDA-style approval for AI models is coming to the US.
Google, Microsoft, xAI, all giving federal agencies early access before launch.
Will the government actually have the technical chops to evaluate this, or just more paperwork?
Necessary guardrail or bottleneck?
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OpenAI just launched a Codex Chrome extension.
It can now open Gmail, Salesforce, LinkedIn, anywhere you're signed in, and work in the background while you do other things.
Not a coding tool anymore. An assistant that lives inside your browser.
🔗Full details in the first comment
OpenAI just opened ChatGPT to advertisers.
My reaction? I don't love it.
It makes business sense. But something shifts when ads enter a tool you trusted for honest answers.
Anthropic just got access to Colossus 1 SpaceX's supercomputer in Memphis.
Not a product launch. Not a partnership. A straight infrastructure deal.
Musk has criticized Anthropic before. Didn't stop him from taking the contract.
The compute race doesn't care about opinions.
Another day, another @AnthropicAI headline.
Word on the street is their next model could be a cybersecurity risk.
Claude "Mythos" just leaked. Not through a hack, not through a press release. Anthropic forgot to set a CMS toggle to private. Nearly 3,000 internal assets sitting in a public database for anyone to find.
The company built on AI safety leaked its most dangerous model through a default setting.
Here's what we know:
"Mythos" sits above Opus in an entirely new model tier. It scores dramatically higher than Claude Opus 4.6 in coding, academic reasoning, and cybersecurity. The leaked docs describe it as "far ahead of any other AI model in cyber capabilities" and warn it could drive attacks that outpace human defences.
For context: an older Claude model was turned into a malware factory within eight hours during a security test. That was the previous generation.
Anthropic isn't doing a public launch. Access is being rolled out slowly to select cybersecurity partners only. No timeline. No general availability. A controlled detonation.
Now hold both of these in your head at the same time:
"The coming wave will make this next decade the most productive in history. It represents nothing less than a step change in human capability and human society... bringing higher-quality, more affordable healthcare, accelerated transition to renewable energy, and strengthened education systems." Mustafa Suleyman, The Coming Wave
And:
"In the coming decade, the barrier to creating a synthetic pathogen will fall to near zero. An AI assistant will be able to provide a step-by-step guide to synthesizing a virus that is as contagious as the flu and as deadly as Ebola. We are entering an era where the most dangerous tools ever created are becoming the most accessible." Mustafa Suleyman, The Coming Wave
Same book. Same author. Both true.
I have been wrong about the rate of AI advancement before. I genuinely underestimated it. With AI, I do not think I am making that mistake anymore.
The speed is real. The capability jumps are real. And the gap between what these models can do and what our institutions, laws, and defenses are built to handle is growing every quarter.
Exciting times. Scary times.
How do we even begin to police this?
@Sarut0biSasuke@OpenAI@AnthropicAI This exact tension plays out in Web3 constantly, the projects that went viral in bull markets are rarely the ones enterprises are integrating in bear markets.