Fable 5 / Mythos (June 2026):
“LOOK AT ME — I AM THE RED TEAM NOW”
If you’re using god-tier models for cybersecurity, do it like a gentleman. I just open-sourced a clean, authorized red-team engagement template so you stay out of trouble:
https://t.co/3yNQryDRca
Too late? Got a false flag from clumsy work? don't blame @AnthropicAI
Comment below, follow me, and I’ll get in touch and try to help.
@nixcraft Frontier AI is rapidly redefining every published patch by compressing exploit analysis and chaining. Velocity alone won't suffice, we need capability-bounded, hardware-backed, monitored compartments that limit authority and survive boundary failures
@equipedefrance@England IMO this match should not exist. There is disconnect between the promotion the sentiment (and faces) of the players and the fans.
The irony is that AlphaFold architectural pivot, and both Gemma and Gemini Diffusion are fascinating true innovation. Gemini 3.1 Pro did not get the memo.
@Hesamation You can't accuse @AnthropicAI of handing out the best hit for free to hook us, then harvesting from us on metered API token consumption once the hook sets; and turn around the next day accusing them of cutting the product 80%. Pick your villain and stick with it.
@Hesamation 🛑 Enough with the trendy words and clickbait: the model isn't nerfed, the tripwire is trigger-happy. By BridgeMind's own admission, the model is unchanged once a request actually reaches it.
@Hesamation I don't blame @AnthropicAI. Impossible position. Regulators with no ML grounding are demanding post-training conditioning heavy enough that it's a minor miracle the model isn't useless or erratic.
We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5.
We'll begin restoring access tomorrow, and will share an update soon.
We’re grateful to our users for their patience, and to everyone who worked with us on redeploying the models.
🚀 Just dropped this diagram explaining OpenAI's mind-blowing counterexample to Erdős's 80-year-old Unit Distance Conjecture (disproved in 2026 by an internal reasoning model).
Old intuition: Square grids were 'essentially optimal' → ~n^{1+o(1)} unit distances.
New reality (via algebraic number theory + CM fields + class field towers): Polynomial improvement → n^{1+δ} for δ>0 (refined to ~0.014 by Will Sawin).
Key idea: Richer norm-1 units in high-degree fields → Minkowski lattice slice → project to plane for denser unit-distance graphs.
Not a literal small plot, but a faithful conceptual map of the proof strategy. Full details in OpenAI's announcement + human-verified remarks.
This is what happens when AI explores cross-field paths humans hadn't heavily pursued. Game-changer for discrete geometry & AI-math collaboration.
I’ve seen the paper. It’s not a jailbreak. It was Defense Oriented Prompting (DOP), capabilities defenders need. My thoughts on the hasty Export Controls that made Anthropic pull Fable. If Nat defense is the goal, this just scored an own goal against us
https://t.co/DfiAKEylSV
I’ve seen the paper. It’s not a jailbreak. It was Defense Oriented Prompting (DOP), capabilities defenders need. My thoughts on the hasty Export Controls that made Anthropic pull Fable. If Nat defense is the goal, this just scored an own goal against us
https://t.co/DfiAKEylSV
I’ve seen the paper. It’s not a jailbreak. It was Defense Oriented Prompting (DOP), capabilities defenders need. My thoughts on the hasty Export Controls that made Anthropic pull Fable. If Nat defense is the goal, this just scored an own goal against us
https://t.co/DfiAKEylSV