Crafting consensus in a culture of dominance. Engineer, nature lover, storyteller, artist, musician, scientist. Precision, responsibility, and creativity.
Introducing the Open Knowledge Format (OKF), an open specification that formalizes the LLM-wiki pattern into a portable, interoperable format.
AI is only as smart as the context we give it. As we build more advanced, agentic AI systems, they need accurate metadata and context to be useful. But in most organizations, that context is locked inside fragmented data catalogs, isolated wikis, scattered code comments, or the minds of senior engineers. Every time a new AI agent is built, teams are forced to solve the exact same context-assembly problem from scratch.
To solve this, we've announced OKF, a vendor-neutral, open specification that formalizes the "LLM-wiki pattern" into a portable, interoperable format. It provides a standardized way to represent the enterprise knowledge that modern AI systems rely on.
— Just markdown: readable in any editor, renderable on GitHub, indexable by any search tool
— Just files: shippable as a tarball, hostable in any git repo, mountable on any filesystem
— Just YAML frontmatter: for the small set of structured fields that need to be queryable: type, title, description, resource, tags, and timestamp
We’ve also shipped reference implementations to help you hit the ground running, including an enrichment agent for BigQuery, a static HTML visualizer, and live sample bundles on @github → https://t.co/ilhAMCrcTc
➕ Knowledge Catalog can now natively ingest OKF!
Stop reinventing data models and building bespoke integrations for every new AI tool. Here's more about how OKF works → https://t.co/FR4kJRsgEH
@grok - what protection does Hermes agent have against ai prompt injection and other common security issues with ai agents that access the open internet?
⚡️ LATEST: Nous Research partners with Stripe to enable its Hermes Agent to make purchases, pay APIs, and provision SaaS, all with configurable safety limits.
To think that Google, Amazon, and certainly the NSA have not had models like this for years would be missing a great conspiracy theory - the funny part is that criminal orgs probably have it too - it’s just the public and less advanced criminals we’re gate keeping at this point?
⚡️The important event already happened.
Fable can come back.
That does not undo the regime change.
The state proved the kill switch works.
A frontier lab shipped a model. A trusted partner raised the alarm. The administration escalated. Commerce became the instrument. Anthropic’s product went dark globally.
Now Anthropic is going to Washington to negotiate its way back into permission.
The model may return in days or weeks.
The precedent will not return to zero.
Every lab now knows the strongest cognition can be frozen if the state loses confidence in the lab’s judgment, cyber posture, foreign-access controls, or willingness to obey. The frontier has crossed into sovereign tolerance.
Anthropic’s problem is no longer only technical. A patch can solve a jailbreak. It cannot instantly solve the perception that Dario and Anthropic were dismissive when the national-security layer wanted submission. That is the scar.
The government wants technical remediation, but it also wants deference. It wants Anthropic to behave like a strategic contractor, not an independent moral authority deciding what level of risk the state should accept.
Anthropic built its brand around safety and restraint. Now the administration is using that brand as leverage: live under the standard you preached, or lose access to the commercial frontier.
Fable likely returns with a package: stricter cyber gates, more monitoring, better foreign-national controls, faster escalation paths, government-facing review channels, trusted partner testing, and language that lets the White House claim the risk was handled. Anthropic bends. The state declares discipline restored. The public product resumes in some controlled form.
But the industry changes.
Other labs move closer to government before being forced. Hyperscalers become active risk governors. Defense alignment becomes more valuable. Foreign access gets more complicated. Model launches become political events. Safety posture becomes sovereignty posture.
For decentralized AI, the catalyst survives even after Fable returns. The market has now seen that centralized frontier cognition is permissioned at the top layer.
That image cannot be unseen.
The strongest read:
Fable returns wounded.
Anthropic returns subordinated.
The state keeps the precedent.
The frontier becomes more gated.
The control layer wins.
Satya’s take on the "cognitive loop" is a must-read for the new economy. But instead of just reading about it, we put it to the test.
We ran his piece through Simi, and it one-shotted the entire thesis into a perfect explainer video instantly.
This is exactly what compounding human and token capital looks like in practice. The fastest way to turn dense strategy into scalable media.
A dev got so frustrated watching his AI agent write 500 lines for a 5-line problem that he built a fix.
He called it Ponytail. Named after the guy every team has - long ponytail, oval glasses, been there longer than the version control. You show him fifty lines; he looks at them, says nothing, and replaces them with one.
Now your agent does the same. Before writing anything, it looks for a reason not to.
80-94% less code. 47-77% cheaper. 3-6x faster.
The best code is the code you never wrote.
GitHub Repo: https://t.co/WnFp9YNY53
@OpenRouter This is a great approach. I open sourced my SOP a few months ago, where I was mixing three models to get great coding outcomes.
I think a formalization of this into a Fusion API is a big step forward.
BREAKING: The White House says they're aiming to pass Clarity Act by July 4th.
This comes 1 year after the Genius Act was passed on July 17, 2025.
The timing of this isn't a coincidence and the implications to the stock market are vast. This is why Elon was in a rush to IPO and why the SpaceX shares unlock right before it is passed.
@andreijikh did an amazing job explaining the significance of this and personally I think people are underestimating the impact it will have on volatility in July.
Como nunca tinha lido isso antes?
Há anos os system of records (CRMs, ERPs, HCMs etc) construíram moats gigantescos armazenando dados vitais das empresas.
Ela argumenta que os novos system of records dos agentes serão os 'context graphs', que armazenam não só os dados crus mas também, um registry/ histórico do reasoning por trás de cada decisão tomada.
Isso faz muito sentido pra mim e o artigo está super bem escrito - merecidíssimo esses 4.8M de impressões!
Here's a simple loop: Tell codex to maintain your repos, wake up every 5 minutes and direct work to threads. That makes it easy to parallelize+steer work as needed.
I use a orchestrator skill combined with my triage+autoreview+computer use skills, so some work can land autonomously. https://t.co/FbBoJTIcfd
https://t.co/8389roVnOm
Boris Cherny, creator of Claude Code:
"The advantage isn't going to who codes best anymore. It's going to who delegates best."
In 20 minutes the day Fable dropped, he explains what to learn now while everyone else pretends nothing has changed.
Watch the full talk, then save the exact config below👇
This could be self preservation or hubris talking, but I don’t see how thousands of complex decisions made during coding could accurately be translated into binary without the work of talking through them. For solved problems where the code path is already defined, yes, this will be true, and it may be that a deep question/answer design session is output as binary, but models are not going to be able to accurately map human needs/intuition / moral compass that soon independently, at least public models I’ve seen..
Elon Musk thinks coding dies this year.
Not evolves. Dies.
By December, AI won’t need programming languages. It generates machine code directly. Binary optimized beyond anything human logic could produce. No translation. No compilation. Just pure execution.
Musk: “You don’t even bother doing coding.”
Code was never the point. It was friction. A tax we paid because machines didn’t speak human. AI just learned fluent human. The tax is gone.
Now plug that into Neuralink. No syntax. No keyboard. No screen.
Musk: “Imagination-to-software.”
Thought becomes executable. You imagine an outcome, the system architects and compiles it into reality instantly.
We’re not automating programming. We’re erasing it from existence.
The entire profession collapses into a thought. Decades of training reduced to irrelevance. The gap between idea and instantiation hits zero.
You don’t build anymore. You imagine, and it materializes.
Not incremental progress. Total phase shift. The way humans have created things for ten thousand years just became obsolete.
Welcome to a world where the limiting factor isn’t skill, resources, or time. It’s whether you can picture what you want clearly enough for a machine to birth it into existence.