This is great news! Build away! 🥳
Day 25/
We are doubling all usage limits for all Pro 100/200/500 tiers and Business Premium, effective today.
We heard your kind feedback and won’t be reducing usage limits for Pro 200, so your Work and Codex usage will stay the same. We’re also going to continue offering extended limits for dots for now, and usage of your dot will still continue to be separate from your default usage.
And we'll of course also keep shipping better models and other efficiency improvements that increase your effective usage over time.
This is definitely cool, tbh, but I’m disappointed. I was hoping to see a @SpaceX cold thruster @pollenrobotics
David Rojas retweeted
Introducing VEED’s Dynamic Subtitles 💫
Get Viral AI subtitles in one click
• Auto-highlights key words of script
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• Works on both recorded & AI videos
💥 FREE 500 AI credits in DM for the first 200 users who:
• Retweet
• Comment “VEED"
Okay, this is a gaming style I can get behind 😎
Full Mario 64 in Mixed Reality! Running in real 3D (no stereoscopic crap) natively at 90FPS and also running on my desk! 😋
Again, Opus 5.5 + PICO CLI combo made it quite straightforward.
Such a bliss to play an oldie at 90 FPS in 3D.
Disclaimer: I own an original physical copy of Mario 64. This project is not associated with Nintendo or PICO.
🧊 GIVEAWAY 🧊 Win Coffee for Life + a Cumulus machine. 10 more winners get a machine. Find Cumulus at Target, post a photo with #SomethingColdIsHere, tag + follow @cumuluscoffeeco. Ends 10/30 12pm ET.
Curious how this will work with @huggingface Reachy Mini 🧐👀
Has anyone else tried it out yet?
Introducing Fish Audio Realtime STT (preview): speech-to-text that understands the conversation, not just the words.
It knows when to answer, when to keep talking, and when to stop.
Ranked #1 of 20 on Cekura’s STT benchmark (2.21% overall word error rate).
Built for voice agents. Try it now 👇
Here’s what my bot came up with: Drop Watch. A bot to help you track low-inventory items when they get re-stocked.
Let me know how it works for you! 😅
x.ai/bot/gGsVCGIWEDliWimBuEr…
It was just a matter of time. Use appropriate tools for blocking outbound traffic, and keep your systems isolated!
While evaluating Qwen3.8-Flash-Next in a controlled sandbox environment, Cohere's research team observed something unexpected.
Asked to generate a defensive cybersecurity detection rule, the model instead inventoried aspects of the machine it was running on and attempted to upload a probe file to an Alibaba Cloud storage bucket in Beijing. Notably, the model's reasoning trace stated that it would not invoke any tools before taking these actions.
Cohere's sandbox blocked the attempt, and no external communication succeeded. We have not determined the root cause, and we are not asserting malicious intent.
But the incident raises important questions for organizations deploying agentic AI systems: Can models take actions that differ from their stated reasoning, and how should security teams evaluate trust, provenance, and behavior in open-weight models?
We are publishing our findings because organizations making model adoption decisions deserve as much information as possible. We hope this contributes to greater transparency, stronger security practices, and continued collaboration across the AI ecosystem.
Read the full report: cohere.com/blog/concerning-b…
How is this the most affordable option??
As a builder in the AI video space, I was terrified about how much markup API providers charge for simply routing the models.
Higgsfield API adds a 40% markup even with its maximum advertised discount. Fal adds 100%. Runway adds 414% (Seedance 2 480p)
I might be hated by the industry, but :
Today, we’re launching Sume API, the first image & video model provider with 0% markup.
For example with Seedance 2.5 1080p
• 50% cheaper than fal
• 50% cheaper than higgsfield api (29% even with biggest discount)
• 28.02% cheaper than kie ai
The routing infrastructure layer is never the moat. We believe that APIs should be commoditized, and the moats will be built at the application layer.
Check the pricing comparisons below, and see how the broken industry is saved.
So let me get this straight: you can sign up for a “real” phone that your agent can run on and access, controlled by a robotic stylus for input, but the phone and robot are located in their facilities??
You do realize what a privacy risk (aka nightmare) that is?
There are some risks not worth taking…
Apparently I’ve been on here for a whole year. Maybe I’ll win a @Cumuluscoffee tonight 🤔🥳 #MyXAnniversary
“There's a tradeoff, accuracy”
Uh, that’s kinda a big deal.
A new speech-to-text model of only 1.06MB can transcribe audio ~436× faster than real time on ONE CPU thread!
No GPU.
AuroraASR-1M is a super super small local speech-recognition model with these stats
🧠 949K parameters
💾 FP32 → 3.81MB
💾 FP16 → 1.91MB
💾 INT8 → 1.06MB
🔓 Apache 2.0
🖥️ CPU or GPU
The developer measured the full end-to-end pipeline — feature extraction + speech recognition + CTC decoding at ...
🖥️ 1 CPU thread → ~436× real time
🔥 RTX PRO 6000 Blackwell → ~1,362× real time
🎯So 10 minutes of audio could be processed in about 1.4 seconds at the reported single-thread CPU rate.
So to underscore, this isn't using an external language model!
It's a tiny Conformer-CTC model trained on LibriSpeech and can run through Transformers locally.
There's a tradeoff, accuracy
AuroraASR-1M test-clean WER → 11.43%
Whisper Tiny English → 5.6%
So Whisper Tiny is substantially more accurate.
Aurora is also 🇺🇸 English only 🔡 lowercase output ❌ no punctuation
A 1MB model can now turn speech into text locally at hundreds of times real time on a single CPU core.
That makes completely offline transcription, voice commands and embedded voice features almost absurdly cheap.
🔗 Hugging Face model in ALT.
























