PaulGodsmark

On July 15, 2026 RFG Advisory, LLC filed a 13F-HR form disclosing ownership of 100,000 shares of SLNH $SLNH Institutional Shares 14,325,796

The most interesting Fable tip I've heard so far is to let the model use its own judgement as much as possible I told it "For all coding tasks use your judgement to decide an appropriate lower power model and run that in a subagent" and it seems to be saving a lot of tokens

$SLNH 1D: This rally to $1.50 looks like a bull trap. I expect a rejection from that overhead supply before we test lower levels. I'll wait for a deeper pullback to our next major demand zone at $1.17 to look for a reliable bounce. I could be right/wrong😃

We believe in broad access and plan to make GPT-5.6 Sol, Terra, and Luna generally available in the coming weeks. For now, at the request of the U.S. government, we’re starting with a limited preview among a small group of trusted partners in Codex and the API.

The scariest part of the Mythos story is not that a stronger model reportedly finished training. It’s that we may never know how strong it is. AI used to move like this: train → benchmark → launch → everyone compares it. Now the frontier might look like this: train → restrict → internalize → use it to build the next one. Because a model like Mythos does not need a launch event to matter. If it can find vulnerabilities faster than humans can patch them… write systems… run experiments… and help build the next model… then keeping it behind closed doors does not pause progress. It concentrates it. The leaderboard becomes theater. The real race goes dark. The frontier is no longer the best AI you can use. It is the best AI a lab will not let you touch.

🚨 NEW RESEARCH: “Lingua Ex Machina: A Procedural Xenolinguistics Engine Reveals Zero-Shot Language Acquisition, Human-Unreadable Coding Systems, and Exploitable Covert Channels in Frontier AI” Some of you may remember the name of this lil engine: GLOSSOPETRAE 👅🪨 Well, we've got upgrades 😎 It started as a procedural xenolinguistics engine: one seed in, an entire alien language out. Phonology, morphology, syntax, writing systems, lexicons, grammar docs, all generated from scratch and internally consistent. Every seed produces a unique language. Every language is deterministic. Then we used it to ask a weirder question: Can frontier AI models use languages that never existed before for practical applications? As it turns out: yes!! They can read them, write them, translate them, code in them, and even use the weird blind spots between tokenizers as covert channels. So this paper explores three ideas at once: ▶️ zero-shot language acquisition ▶️ human-unreadable code that models can still execute ▶️ exploitable covert channels in frontier AI systems GLOSSOPETRAE is no longer just a language generator... 🧵

accidentally became important at work n its ruining my life

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