All fixed. Surprising number of Pro 500 users on here.

Seeing some reports that the Pro 500 didn’t get the reset as expected earlier. Investigating and will make up for it

a few open source contributions from perplexity recently: •pplx-decider-v1-27b: SoTA multimodal decision model. 85.7% average across 11 benchmarks, ahead of Jev. •pplx-embed-v2-context-9b-preview: SoTA contextual embeddings, best on ConTEB and turbopuffer context-bench. •Lily: local inference engine for Apple silicon. rust plus custom metal kernels, no pytorch or mlx. 1.23x faster prefill and 1.35x faster decode than MLX-LM on an M5 Max •PII-Tracer: 0.6B on-device PII classifier that decides when a hybrid compute task stays on your Mac. beats OpenAI’s Privacy Filter on all 5 public benchmarks. also released with the PII-TRACE benchmark: 13k conversations in 13 languages •WANDR: benchmark for wide and deep research agents. 500 tasks needing 170k source-backed records •Numbat: agent detection and response for laptops and workstations. 52 rules, single go binary for macOS, linux and windows •Bumblebee: read-only supply chain scanner for dev machines. covers packages, MCP configs, and editor and browser extensions. a lot more open source contributions coming soon!

Project Suncatcher has liftoff! ☀️🚀 Announced last year, this moonshot project explores if we can one day host machine learning infrastructure in space. After years of research, we’ve just launched a prototype satellite, built in partnership with @planet, into orbit on @SpaceX's Transporter-18 rideshare mission. This initial mission will gather data on how @Google TPUs handle the physical stress and extremes of spaceflight. Ultimately, these findings will help us explore how to potentially link multiple satellite constellations for scaled machine learning. By operating in low Earth orbit, these systems can tap into near-constant sunlight to generate up to 8x more solar power than on Earth.

We've reset usage limits for all Grok Bot users. Enjoy!

Reset all propagated. Enjoy.

🚨 Kimi K4 Leak: Beat fable 5.1 >Moonshot AI is reportedly already planning its next monster model >Kimi K4 may beat Fable 5.1 and GPT-6 Astra >Moonshot is reportedly seeking more Nvidia Blackwell GPUs to train it >K3 already packs 2.8T parameters, the largest open-weight model released to date >K4 could push Moonshot's open-weight strategy even further >Worth noting: K3 itself is already tangled in controversy — the White House accused Moonshot of accessing Blackwell chips via Thailand servers to dodge export controls, and of distilling Anthropic's Fable model into K3's training No confirmed parameter count or release date ye

Please check out @DeepSeekHarness. We just released packaged desktop versions for macOS and Windows; Linux users can get it from the @​deepseek-ai/dsh package on npm. deepseek.com/harness

I remember the first meeting where the team pitched the idea of putting compute in space - exciting idea! Today's successful launch with our partner @planet prototype satellite shows how far we've come...and how far there is to go. Thanks for the lift, @SpaceX, another spectacular booster landing too🚀

Global reset landing tomorrow 10am PST for all paid ChatGPT accounts. Apologies for the slow start with GPT-6.1 Sol, it's now back to running at expected speeds after the massive load spike in the first two days.

Introducing 3 new models: MAI-Transcribe-2-Streaming, MAI-Voice-2.1 and MAI-Voice-2.1-Flash. Accurate streaming transcription. Natural speech and less waiting between turns. Build voice agents that keep the conversation moving!

Also, 6.1 Sol was our fastest-growing model ever, and was a bit slow under load. Should be much better now!

Because usage on your primary dot is virtually unlimited at the moment, I can’t really give a reset. I need to come up with something new fast.

For two weeks, start a design, deck, or doc in the Claude app, and the work that follows in that conversation uses 50% less of your usage limits. Give it a try with Claude Sonnet 5.5. It has a strong eye for design and builds slides that need minimal editing.

GLM 5.3 and GLM 5.3 Flash are now available in Cursor! GLM 5.3 Max is the best-scoring open-weight model on CursorBench 4.0.

SynthID Bio is our new family of watermarking methods made for AI-generated biological designs. In a world first, we can now embed an imperceptible signature directly into protein sequences without affecting their biological function. 🧵

One more thing, you can now build and deploy MCP servers right through ChatGPT. And restrict its access to anyone you want or share it with the world.

We built a new way to train contextual embedding models, which encode each chunk of a document with the whole document in view. pplx-embed-v2-context-9b-preview sets a new state of the art on ConTEB and @turbopuffer's new, privately held context-bench. perplexity.ai/hub/blog/conte…

Grok Bot is now more powerful for building software. Bots can hand off coding tasks to Cursor, manage your PRs with GitHub and Origin plugins, and share video demos of what they build.

GPT-6.1 Sol is our most demanded model pretty much ever both across both the API and subscriptions. Within ChatGPT & Codex, we were under heavy load, but have brough more capacity online and the speed should get much better in the coming hours, reaching almost twice the speed compared to what we served yesterday.