I’m a solo founder on the $100/month plan using Fable heavily for complex, long-running development work. The 50% weekly cap was already limiting, but moving Fable to usage credits after July 12 is going to make it unsustainable for independent builders like me who don’t have large budgets.
I’d rather pay somewhat more to keep it included in the plan than be pushed onto expensive per-token credits. Solo founders and small teams doing real agentic work shouldn’t be the ones most penalized when pricing structures change.
These kinds of shifts hurt the people who are actually building with the model at scale. More predictable access would be much better for developers in my position.
Thanks for the reset — fresh limits help right now.
But the bigger picture is still frustrating for people actually building with Fable at scale. The 50% weekly cap on Fable feels arbitrary when the model is marketed as the strongest for complex, long-running work. After July 12 it moves to expensive usage credits, while the targeted (initially hidden) interventions on frontier LLM development tasks remain in place per your own system card.
Power users doing real agentic coding and research are effectively subsidizing the frontier while being throttled from fully using the best tool to push it. If the goal is genuine progress rather than just defending the lead, serious developers need either higher effective limits on Fable during this window or much more reasonable credit pricing afterward.
The resets feel reactive to competitor launches. Transparent, predictable access for builders would be better.
This is the right standard.
Admitting you were wrong about a competitor’s lead, then publicly committing not to sabotage them with structural power even when you could — that’s how you actually win the long game.
Anthropic just reset rate limits again today (timed with the latest OpenAI drop), but serious builders are still stuck with the 50% Fable cap, the move to expensive credits after July 12, and the targeted (originally invisible) throttling on frontier LLM development tasks.
True leadership in this race looks like competing by shipping better systems and keeping critical infrastructure open — not quietly nerfing the tools others use to catch up while calling it safety.
Respect.
After years of following this work closely and believing in the vision, I’ve watched a recurring pattern: ambitious projects and initiatives launched with excitement, followed by restructurings, mergers, wind-downs, or quiet shifts, while early supporters carried the consequences. Ocean Protocol’s decision to leave the alliance spoke to some of those underlying tensions.
If you’re new here and considering getting involved because the idea of decentralized AGI is compelling, please do your own careful research on what has actually been delivered and sustained over time versus what has been promised. I genuinely hope the core research efforts succeed and create real value. But I also don’t want to see more people go through the same painful learning curve I did. Protect yourself.
Thanks. Even ignoring the token, the promise was that nodes would generate real income - something that was supposed to happen years ago. There’s still no visible revenue reaching holders, and people can’t do anything meaningful with the nodes or factories. Where are the actual distributed income numbers?
@bengoertzel Solid vision for Codey and embedding AGI in real human culture.
But the GitHub output (low stars, modest commits on infra/setup) doesn’t yet match the hype or DeepSeek’s high-impact releases. More visible, high-velocity code would make the whole ecosystem way stronger.
Ship it - the ambition deserves the commits. 🔥
What Will Be the Impact of Smaller Open Models Like @deepseek_ai Replacing Huge Closed Models Like @OpenAI and @AnthropicAI ? 🧵👇
- A flourishing of creativity as these models are fine-tuned and customized
- Growth of the agents-based AI paradigm as lightweight AI nodes are flexibly connected into networks
- Radical emergence!
🌐 Hypercycle is building essential components enabling the Internet of AI—a secure, P2P multi-agent network.
While the spotlight shines on siloed AI models like #DeepSeekR1, we're calling on AI developers—from solo innovators to large enterprises—to establish a Node Factory. This will ensure efficient and secure collaboration among AI models and agents.
The reason top tech companies often hire foreign-born & first-generation engineers over “native” Americans isn’t because of an innate American IQ deficit (a lazy & wrong explanation). A key part of it comes down to the c-word: culture. Tough questions demand tough answers & if we’re really serious about fixing the problem, we have to confront the TRUTH:
Our American culture has venerated mediocrity over excellence for way too long (at least since the 90s and likely longer). That doesn’t start in college, it starts YOUNG.
A culture that celebrates the prom queen over the math olympiad champ, or the jock over the valedictorian, will not produce the best engineers.
A culture that venerates Cory from “Boy Meets World,” or Zach & Slater over Screech in “Saved by the Bell,” or ‘Stefan’ over Steve Urkel in “Family Matters,” will not produce the best engineers.
(Fact: I know *multiple* sets of immigrant parents in the 90s who actively limited how much their kids could watch those TV shows precisely because they promoted mediocrity…and their kids went on to become wildly successful STEM graduates).
More movies like Whiplash, fewer reruns of “Friends.” More math tutoring, fewer sleepovers. More weekend science competitions, fewer Saturday morning cartoons. More books, less TV. More creating, less “chillin.” More extracurriculars, less “hanging out at the mall.”
Most normal American parents look skeptically at “those kinds of parents.” More normal American kids view such “those kinds of kids” with scorn. If you grow up aspiring to normalcy, normalcy is what you will achieve.
Now close your eyes & visualize which families you knew in the 90s (or even now) who raise their kids according to one model versus the other. Be brutally honest.
“Normalcy” doesn’t cut it in a hyper-competitive global market for technical talent. And if we pretend like it does, we’ll have our asses handed to us by China.
This can be our Sputnik moment. We’ve awaken from slumber before & we can do it again. Trump’s election hopefully marks the beginning of a new golden era in America, but only if our culture fully wakes up. A culture that once again prioritizes achievement over normalcy; excellence over mediocrity; nerdiness over conformity; hard work over laziness.
That’s the work we have cut out for us, rather than wallowing in victimhood & just wishing (or legislating) alternative hiring practices into existence. I’m confident we can do it. 🇺🇸 🇺🇸