
OpenAI is scaling GPT‑5.4‑Cyber to API customers with highest tiers. > GPT‑5.4‑Cyber is a model purposely fine-tuned for additional cyber capabilities and with fewer capability restrictions.

By
–

OpenAI is scaling GPT‑5.4‑Cyber to API customers with highest tiers. > GPT‑5.4‑Cyber is a model purposely fine-tuned for additional cyber capabilities and with fewer capability restrictions.

By
–
OpenAI just launched GPT-5.4-Cyber, its first model built specifically for cybersecurity defense. It's a fine-tuned version of GPT-5.4 with fewer restrictions for legitimate security work, designed to give defenders access to frontier AI capabilities without the usual guardrails
By
–
Try it now Demo: https://
huggingface.co/spaces/openbmb
/VoxCPM-Demo
… Model: http://
huggingface.openbmb.com/model/openbmb/
VoxCPM2
… GitHub: http://
github.com/OpenBMB/VoxCPM
By
–
VoxCPM 2 vs Qwen3-TTS, directly: Acoustic representation: Continuous vs discrete tokens. VoxCPM 2 preserves more of the original acoustic signal at every step. Audio quality ceiling: 48kHz vs 24kHz industry standard. Zero-shot voice generation from text: VoxCPM 2. Qwen3-TTS
By
–
Most TTS models convert audio into discrete tokens. That compression strips acoustic detail. Emotional texture gets flattened. Timbre gets approximated. VoxCPM 2 uses a Diffusion-Autoregressive Continuous Representation framework instead. Continuous signal. Less information

By
–
OpenAI fine-tuned GPT-5.4 for cybersecurity, with fewer refusals, new capabilities like binary reverse engineering, and is rolling it out to verified defenders. Very different approach than Anthropic is taking with Mythos. We'll see how each plays out!
By
–
Google released Design Previews for Build in Google AI Studio, where Gemini would offer you the option to choose from one of the custom themes while your app is being built.
— 🚨 AI News | TestingCatalog (@testingcatalog) 14 avril 2026
Build and design in parallel 👀 https://t.co/GtCcZzSmN9 pic.twitter.com/M5FHgtgRp9
Google released Design Previews for Build in Google AI Studio, where Gemini would offer you the option to choose from one of the custom themes while your app is being built. Build and design in parallel
By
–
Is there somewhere a collection of the best agent/coding harnesses for each models, especially open-source and local ones? In my opinion, the biggest reason why people are struggling with open/local models these days is that the agent/coding harnesses in most open agent are not
By
–
AI models aren’t yet general-purpose alignment scientists. Progress isn't as easy to verify on most alignment research tasks: our AARs would find “fuzzier” research much harder. But our experiment does show that Claude can increase the rate of experimentation and exploration.