Our initial public offering: https://t.co/Ah4BkI2loD
Legal disclaimer: Anthropic has filed a registration statement (including a prospectus) with the SEC for the offering to which this communication relates. Before you invest, you should read the prospectus in that registration statement (available at: https://t.co/Z44axxzf9b) and other documents Anthropic has filed with the SEC for more complete information about Anthropic and this offering. You may get these documents for free by visiting EDGAR on the SEC Web site at https://t.co/94ojsWZTKi. Alternatively, copies of the preliminary prospectus may be obtained from: Goldman Sachs & Co. LLC, Attention: Prospectus Department, 200 West Street, New York, NY 10282, by telephone at (866) 471-2526, or by email at [email protected]; or Morgan Stanley & Co. LLC, Attention: Prospectus Department, 180 Varick Street, 2nd Floor, New York, NY 10014.
The securities may not be sold, nor may offers to buy be accepted, prior to the time the registration statement becomes effective. This post is not an offer to sell, or a solicitation of an offer to buy, the securities in any jurisdiction where the offer or sale is not permitted.
The anti-AI backlash in games is mostly hurting indie studios.
Insisting on no AI code in a world where all coding will effectively involve AI is an impossible standard. If fans care about human work, reward games centering human artists & designers rather than policing AI use.
Qwen4 is coming.
Deeper knowledge. Richer world understanding. Stronger coding and agentic capabilities.
Built for real-world tasks — from complex coding and knowledge work to front-end builds and professional software workflows.
Qwen4-Max is now in preview on Alibaba’s Token Plan. You can also get early access to the new model on QwenWork, Qoder, Qwen APP, and QwenStudio.
Put it to the test on a real problem. Show us what you build. 👀
Token Plan: https://t.co/LOB2Jdt3Sk
Your agents can now coordinate with your teammates’ agents.
Projects has been rebuilt for multiplayer: every teammate and their agents can now work together in one unified workspace.
MCP is all about openess and working together. If it is a good idea, we adopt it. Looking forward to working together to standardize it as part of MCP apps and giving it a https://t.co/5v9VDk0IvV key
We've given all Pro, Max, Ultra, and Team users one free full reset, across all models and limits. Use it anytime before December 10 at 2:00PM PT.
We recently fixed a few small issues that used more limits than intended, and the Fable resets didn't do much for those of you who'd already hit your weekly limits for all models. While these issues didn't affect everyone, we want to make up for the trouble.
You'll find it in Settings > Usage, or at https://t.co/5YRzheAZyQ.
Agents are going to work with enterprise files 100X more than people do today. This is why we're excited to partner with Anthropic to bring full read/write interoperability to Box content via Claude.
Now you can have an agent not only pull up content to work with in a workflow, but also write back file updates to Box and view them directly inside of Claude, all via MCP. You can create, edit, and update contracts, presentations, strategy docs, and any other content.
When we started Box we couldn't have imagined all the ways that we'd be working with our unstructured data in the future, but it's clear that agents and people will be producing vastly more artifacts than we imagined. We're building the platform that makes it incredibly seamless and secure to work with your content from any agent.
Claude now supports more of the MCP Apps extension, such as app tools and embedded sites, so your full app can run inside Claude.
Start building: https://t.co/X4ioqGu3A1
Our latest frontier model Gemini 4 Carbon is rolling out today! Amazing progress from Gemini 3 → Gemini 4 in less than a year… Carbon reverse engineers my original Theme Park binaries, adds a new DeepMind themed ride, and ports it to the web in one shot - kind of mindblowing to see! https://t.co/LceQuUZbTk
Our strongest frontier model, Gemini 4 Carbon, is now available.
Built for deeply complex, long-horizon workflows that push a frontier model’s intelligence, Carbon delivers frontier performance in agentic workflows across complex knowledge work, software engineering and web development, cybersecurity, and scientific reasoning.
While Gemini 4 Argon remains the ideal model for the majority of software engineering and knowledge work, Carbon steps in for your hardest tasks that push a model to its limits — from complex, multi-step debugging to open-ended scientific research.
Available starting today:
— Consumers: use it in the @GeminiApp and AI Mode in Search for Google AI Ultra subscribers
— Developers and Enterprises: build via the API in @GoogleAIStudio and @AndroidStudio, Google @Antigravity for Google AI Ultra subscribers, and Gemini for business
— Scientists and Researchers: apply for a chance to get 6 months free via @Antigravity
— Cybersecurity Defenders: apply to join the Fairwind Program for access to Carbon for cyber
Watch how Carbon brings reasoning and coding together, turning avian research into an interactive 3D simulation of a songbird’s vocal organ that synthesizes the sounds of six bird species live.
Gemini 4 Carbon, now available in the Gemini API and to Ultra subscribers!
Just a few weeks after Argon was launched, this model makes significant progress on lots of the feedback from Argon and pushes the frontier in cyber, knowledge work, and code! It's a great model : )
It's a new age of game development! This is the Unreal Engine 5.9 preview, consisting of huge improvements to AI acceleration ported from unfinished Unreal Engine 6, plus entirely new support for play inside web browsers.
Vulnerable post: I spend 90% of my time on @chatprd dealing with increasingly creative international token fraud operations, and it makes me want to shut down the company. Mostly to steal Opus tokens on resold promo codes or in the time between a trial start + our fraud alerts infra.
It's cost me tens of thousands of dollars and it gets worse every day. Luckily the company is nice and profitable, but every time it happens it bums me out in extreme ways.
I love ChatPRD, I think at this point we've helped PM, engineers, and founders with millions of products + features. We are still a top 3 writing GPT (completely free!) on ChatGPT, we've kept generous trial periods, and have kept annual sub costs super reasonable, even for the enterprise. We've let people use the latest models when they come out, and have built in new features like prototyping without adding to our fees. We haven't had to limit usage, because our customers have been so great.
Building the product is incredibly fun, it's an actual footprint by which I get to test all this AI stuff, as an engineer, founder, and product builder. I have my little grok bot army that runs ops. We've been pen tested multiple times, SOC2ed, and work with some of the biggest companies out there.
It's my labor of love, and I keep it going (even though there are probably higher leverage things I could be doing with my time.)
But it's horrible to have our small team spend basically all of our time shutting down that Indonesian fraud ring, or that Egyptian code farm, or the Chinese signups that have been on an auto loop for the last 24 hours. I feel like I'm constantly making product calls that trade protecting from abuse vs giving our users an amazing experience (and keeping maintenance overhead low.)
It's basically sucked the joy out of my first little AI win, and I'm really sad about it.
And before you bucket me into dumb-little-vibecoder, trust that I know what I'm doing. I run our firewall like it's my full time job. We are stripe radar'd up to the gills. We have rate limits + so many automated triggers and controls.
But each one of these things ends up touching legitimate users and prospects. And every time I rachet up one control, I end up causing annoyance or pain to a real user. It's a trade that's hard to manage.
And honestly? It's not fun.
It just feels bad to see so many bad people.
So I have some thinking to do, but for now
- free trials are dead on chatprd, sorry kids
- i think in 2027 i might ban all non-US business
- and tbh, may retreat to the warm waters of 100% enterprise business, who are a) willing to pay more and b) have more interesting product needs
And if you're a little solo founder or startup that has dealt with this - I see you. I have some tips + tricks that might help. You're not dumb, and it's not easy.
Ok. Rant over.
Back to building the little wrapper who could 💕
I wanted to test Fable 5.2's quality with one-shot prompts without human feedback.
Everything in this game is from scratch: models, sounds, textures. ~$550 at API pricing, ~2.7M output and 445M input tokens, heavily cached. Took 8 hours!
Play it here: https://t.co/fazOCcyNIH
We have dumped JAX/SGLang and rewritten the entire RL and inference stack from scratch in C/C++, which took some extra time.
Training (aka pre-training) is done. Lot of cleanup was needed on the SFT data to get that mostly right. Now, 4.8 is in RL and the evals are starting to climb. We will do a soft rollout to Bot users later this week and see how it goes.
Grok 4.8 will bear no resemblance to 4.7 (thankfully). It is not yet incredible, but, this time, the foundations are built right, so I expect it to evolve to be something special.
Fable 5.2 is absolutely insane.
And yes, this is why I say Software is Solved.
I've had early access and here are the most incredible demos I created 🧵👇
The $200 Claude Ultra plan gets you $15,000 of Opus 5.5 in a month, but only around $3,000 of Fable 5.5.
Even ignoring that Fable is restricted to 50% of your weekly limit, it burns faster per $ than Opus does.
More info below
We built Control Room, a central system to track model workloads across our research infrastructure and stop them quickly when safety or security concerns arise.
It connects every research inference workload, including agentic sampling for model training and evaluation, data processing, and more. This works together with our misalignment monitoring systems, and halts model output within 35 seconds of a decision to intervene to stop or pause a job.
Control Room is just one part of our holistic approach for safe frontier model training and deployment.
https://t.co/tc0lBqFdS5
So bullish on MCP. Its utility exceeds the "M" part: even AI aside, it'll be a civilization-scale accomplishment to get all our systems communicating through one universal open protocol.
A missing piece was how to get arbitrary callbacks across sessions. MCP could read and write, but it couldn't tell you later "this event happened." MCP Events fixes this.
We're adding support in our own MCP. Say an agent makes a deployment, and wants to know when it's complete. Instead of polling, it can subscribe to 𝚍𝚎𝚙𝚕𝚘𝚢𝚖𝚎𝚗𝚝.𝚜𝚞𝚌𝚌𝚎𝚎𝚍𝚎𝚍.
PSA: With Vercel Queues and Workflows, writing the backend machinery for your own MCPs to do this is easy peasy.