For many tasks, Claude Code is still my go-to. But here is one use case: I just used it as a task speed test, for something neither I nor my team have done before. I asked Sonnet 4.6 while on a blank page – “hey go and research Google ad best practices and then create a paid
GENERATIVE AI
-
AI Voice System Evaluation: Realism, Speed, and Tone Variations
By
–
It is still very clearly AI, though unsophisticated-on-AI users might be convinced it’s real. It’s quite fast as responding (much faster than say ChatGPT live voice mode) but not as fast as a human. It changes its tone very naturally but sometimes a bit exaggerated.
-
AI Soulja Boy Phone Demo Impresses with Responsive Conversation
By
–
Not only do I kind of love this ad, but I just had a 3min conversation with AI Soulja Boy at that phone number, and it actually made me laugh out loud twice.
— Allie K. Miller (@alliekmiller) 19 février 2026
Very responsive, perfect demonstration of the tech, passed my initial QA testing. https://t.co/OwhULR0OfiNot only do I kind of love this ad, but I just had a 3min conversation with AI Soulja Boy at that phone number, and it actually made me laugh out loud twice. Very responsive, perfect demonstration of the tech, passed my initial QA testing.
-
Mistral AI Releases Voxtral-Mini-4B Realtime Audio Model
By
–
Paper : arxiv.org/abs/2602.11298 Model weights : huggingface.co/mistralai/Vox… Mistral AI studio live playground : console.mistral.ai/build/aud…
→ View original post on X — @guillaumelample, 2026-02-19 11:28 UTC
-
Voxtral Realtime: High-Performance Real-Time Transcription in Open Source
By
–
Voxtral Realtime paper is out! The model is released under the Apache 2 license, and achieves state-of-the-art transcription performance at sub-500ms latency. Mistral AI for Developers (@MistralDevs) Since launching Voxtral Realtime, the community response has been remarkable. Today, we share the technical report, launch the Realtime playground in Mistral Studio, and share the model in Hugging Face Transformers. 🧵 — https://nitter.net/MistralDevs/status/2024162999599005715#m [Translated from EN to English]
→ View original post on X — @guillaumelample, 2026-02-19 11:28 UTC
-
Framework for effective AI prompting
By
–
The difference between these prompts and random AI use: → You give it a role with real stakes
→ You force it to be honest, not polite
→ You ask for specific output, not general advice
→ You treat it like a senior expert, not a search bar That's the whole framework. -
How AI Is Rewiring Filmmaking Live Stream Today
By
–
Don't miss my latest #livestream at 12 noon today – "How AI Is Rewiring Filmmaking" Date: Today, 19th February Time: 12:00 GMT, 07:00 EST, 04:00 PST, 17:30 IST LinkedIn > https://
lnkd.in/gsq28F2
Twitter > https://
lnkd.in/ehrXiUW
Facebook > https://
lnkd.in/e_9hcfph
YouTube -
AI video enters cinema phase with Kling 3.0’s multi-shot narratives
By
–
My AI read 60,000 posts and analyzed them for discussion of Kling and found:
— Robert Scoble (@Scobleizer) 19 février 2026
1. AI video is entering the "cinema" phase — Moving from single clips to multi-shot narratives with audio. Kling 3.0 is the first to demonstrate this at scale.
2. China is competitive in generative… pic.twitter.com/Ot1OBM9Hz5My AI read 60,000 posts and analyzed them for discussion of Kling and found: 1. AI video is entering the "cinema" phase — Moving from single clips to multi-shot narratives with audio. Kling 3.0 is the first to demonstrate this at scale. 2. China is competitive in generative
-
Scobleizer’s Kling Report on AI Video Trends
By
–
The Kling Report. For those interested in AI video.
— Robert Scoble (@Scobleizer) 19 février 2026
I'm running a series of reports. Having AI read my lists here on X (I have about 50,000 people in AI industry on them) looking for interesting trends. I've been having a ton of fun playing with Kling, so ran a report on that… pic.twitter.com/F3hCYodtl4The Kling Report. For those interested in AI video. I'm running a series of reports. Having AI read my lists here on X (I have about 50,000 people in AI industry on them) looking for interesting trends. I've been having a ton of fun playing with Kling, so ran a report on that
-
Phoenix-4 Behavioral Model Advances Conversational AI Dynamics
By
–
What makes Phoenix-4 interesting is not real-time rendering at 40 FPS, but the behavioral model behind it.
— Antonio Grasso (@antgrasso) 19 février 2026
Full-duplex listening, explicit emotional control, and independently generated listening states bring conversational AI closer to real human dynamics.@tavus partner. https://t.co/Nd4PIPZFtMWhat makes Phoenix-4 interesting is not real-time rendering at 40 FPS, but the behavioral model behind it. Full-duplex listening, explicit emotional control, and independently generated listening states bring conversational AI closer to real human dynamics. @tavus partner.