Beginning July 20, Claude Fable 5 will be included in all Max and Team Premium plans, at 50% of limits.
Pro and Team Standard users will continue to have access to Fable via usage credits, and will receive a one-time $100 credit.
Demand for Fable has been challenging to predict, which is why we rolled it out to subscription plans in stages, extending access several times as we secured additional capacity.
I think AI has just hit a gigantic threshold, and Grok 4.5 is the PERFECT example as to why that is.
One of the hardest parts of working with AI is iterating on a project or task that you're working on.
As the models have gotten smarter (and more expensive), it's taking longer and longer to get an answer or action back.
This creates a ton of stall time per query or action, which is actually quite bad for creativity and staying in a state of flow.
You have SO many extended starts and stops. Which inevitably leads to your brain going somewhere else. And then when the AI comes back, you have to redirect your brain to that original task, spool your brain back up to what you were working on at that moment, and then adjust as needed.
There's a ton of mental friction involved.
This ESPECIALLY sucks when the AI takes a REALLY long time to get something back for you, but it's not quite what you were looking for or asked for. And what sucks EVEN MORE is that these "mistakes" are getting MORE expensive!!!
So wait time is going up. AND it costs more per run.
HOWEVER - even after using Grok 4.5 for about an hour - what's become obvious is that it's SO MUCH MORE ENJOYABLE AND BETTER to use a model that is FAST... and capable ENOUGH.
Capable ENOUGH is the real unlock here.
Imagine having Fable 5 performance but at the speed of Gemini 3.5 flash. Or Haiku. That's where we're inevitably going.
I think Grok 4.5 (and models like it) have really solved for one of the biggest unlocks in AI - a model that will get you a GOOD ENOUGH answer VERY FAST, at which point iteration can happen VERY QUICKLY.
This - counter intuitively - keeps the user in a state of flow and creativity for MUCH longer because you are constantly ENGAGED with your project... instead of letting the AI loose for a long time.
And as long as humans are involved, I think 'not quite right' will be a FOREVER problem with AI - because AIs, by default, CANNOT have human taste.
Because they are NOT human.
But they can be UNBELIEVABLE tools. And unbelievable tools are the ones that are VERY GOOD and VERY FAST.
I think that's the true unlock with Grok 4.5 and models like it.
Difficult to describe until you experience it.
I think this is a VERY big deal for @SpaceXAI and @elonmusk.
SpaceX has exercised the option to acquire @cursor_ai in an all-stock transaction with the goal of building the world’s most useful AI models.
For the past few months, SpaceXAI has been jointly training a model with Cursor, which will be released in Cursor and Grok Build soon.
We look forward to working closely with the Cursor team to advance our frontier AI capabilities
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.
The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.
Access to all other Claude models is not affected.
We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.
Read our full statement: https://t.co/bwn0sximKZ
We’ve agreed to a partnership with @SpaceX that will substantially increase our compute capacity.
This, along with our other recent compute deals, means that we’ve been able to increase our usage limits for Claude Code and the Claude API.
Introducing SubQ - a major breakthrough in LLM intelligence.
It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA),
And the first frontier model with a 12 million token context window which is:
- 52x faster than FlashAttention at 1MM tokens
- Less than 5% the cost of Opus
Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention).
Only a small fraction actually matter.
@subquadratic finds and focuses only on the ones that do.
That's nearly 1,000x less compute and a new way for LLMs to scale.
This is an email I sent earlier today to all employees at Coinbase:
Team,
Today I’ve made the difficult decision to reduce the size of Coinbase by ~14%. I want to walk you through why we're doing this now, what it means for those affected, and how this positions us for the future.
Why now
Two forces are converging at the same time. We need to be front footed to respond to both.
First, the market. Coinbase is well-capitalized, has diversified revenue streams, and is well-positioned to weather any storm. Crypto is also on the verge of the next wave of adoption, with stablecoins, prediction markets, tokenization, and more taking off. However, our business is still volatile from quarter to quarter. While we've managed through that cyclicality many times before and come out stronger on the other side, we’re currently in a down market and need to adjust our cost structure now so that we emerge from this period leaner, faster, and more efficient for our next phase of growth.
Second, AI is changing how we work. Over the past year, I’ve watched engineers use AI to ship in days what used to take a team weeks. Non-technical teams are now shipping production code and many of our workflows are being automated. The pace of what's possible with a small, focused team has changed dramatically, and it's accelerating every day.
All of this has led us to an inflection point, not just for Coinbase, but for every company. The biggest risk now is not taking action. We are adjusting early and deliberately to rebuild Coinbase to be lean, fast, and AI-native. We need to return to the speed and focus of our startup founding, with AI at our core.
What this means
To get there, we are not just reducing headcount and cutting costs, we’re fundamentally changing how we operate: rebuilding Coinbase as an intelligence, with humans around the edge aligning it. What does this mean in practice?
- Fewer layers, faster decisions: We are flattening our org structure to 5 layers max below CEO/COO. Layers slow things down and create coordination tax. The future is small, high context teams that can move quickly. Leaders will own much more, with as many as 15+ direct reports. Fewer layers also means a leaner cost structure that is built to perform through all market cycles.
- No pure managers: Every leader at Coinbase must also be a strong and active individual contributor. Managers should be like player-coaches, getting their hands dirty alongside their teams.
- AI-native pods: We’ll be concentrating around AI-native talent who can manage fleets of agents to drive outsized impact. We’ll also be experimenting with reduced pod sizes, including “one person teams” with engineers, designers, and product managers all in one role.
In short: AI is bringing a profound shift in how companies operate, and we’re reshaping Coinbase to lead in this new era. This is a new way of working, and we need to leverage AI across every facet of our jobs.
To those who are affected
I know there are real people behind these decisions — talented colleagues who have poured themselves into this company and our mission. To those of you who will be leaving: thank you. You’ve helped build Coinbase into what it is today, and I am sincerely grateful for everything you've done.
All impacted team members will receive an email to their personal account in the next hour with more information, and an invitation to meet with an HRBP and a senior leader in your organization. Coinbase system access has been removed today. I know this feels sudden and harsh, but it is the only responsible choice given our duty to protect customer information.
To those affected, we will be providing a comprehensive package to support you through this transition. US employees will receive a minimum of 16 weeks base pay (plus 2 weeks per year worked), their next equity vest, and 6 months of COBRA. Employees on a work visa will get extra transition support. Those outside of the US will receive similar support, based on local factors and subject to any consultation requirements.
Coinbase prides itself on talent density. Our employees are among the most talented people in the world, and I have no doubt that your skills and experience will be highly sought after as you pursue your next chapters.
How we move forward
To the team that is staying, I know this is a difficult day. We’re saying goodbye to colleagues and friends you've been in the trenches with. But here’s what I want you to know as we move forward together:
Over the past 13 years, we have weathered four crypto winters, gone public, and built the most trusted platform in our industry. We’ve made it this far by making hard decisions and by always staying focused on our mission. This time will be no different – nothing has changed about the long term outlook of our company or industry. And most importantly, our mission has never been more important for the world. Increasing economic freedom requires a new financial system, and we’re building it.
The Coinbase that emerges from this will be more capable than ever to achieve our mission.
Brian
@ThePrimeagen Nothing wrong with that. You like the art of it but it’s always going to be slower and less efficient to build things not using AI. You either like the process of code or speed of getting your product faster. I will say ai orchestration is pretty fun too
@bcherny@HackingDave It’s not the model but rather the harness. I found that using different harness with opus 4.6 and 4.7 is better than CC. That’s why Boris said “many harness” changes. Thays what happens when you vibe code an agent harness, we get inconsistent feedbacks on Claude code only.
@0xBebis_ How? What are you even doing im curious. I’m running multiple agents on multiple projects and haven’t even gotten close to hitting my limits.
Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software.
It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans.
https://t.co/NQ7IfEtYk7
We're big fans of open source. I actually just put up a few PRs to improve prompt cache efficiency for OpenClaw specifically.
This is more about engineering constraints. Our systems are highly optimized for one kind of workload, and to serve as many people as possible with the most intelligent models, we are continuing to optimize that.
When you use an API key or overages it should still work. The issue was just subs.
If you still want to cancel, we're giving full refunds. We know not everyone realized this isn't something we support, and this is an attempt to make it clear and explicit.
"Using coding agents well is taking every inch of my 25 years of experience as a software engineer, and it is mentally exhausting.
I can fire up four agents in parallel and have them work on four different problems, and by 11am I am wiped out for the day.
There is a limit on human cognition. Even if you're not reviewing everything they're doing, how much you can hold in your head at one time. There's a sort of personal skill that we have to learn, which is finding our new limits. What is a responsible way for us to not burn out, and for us to use the time that we have?" @simonw