Models & Labs
OpenAI Plans 'Family of Devices' for AI Interaction
The Verge AIhigh confidence
Why it matters
- →OpenAI's move into hardware could redefine user interaction with AI models.
- →Voice-based computing may become more prevalent, changing how tasks are performed.
- →The initiative highlights OpenAI's commitment to innovation and addressing privacy concerns.
OpenAI is reportedly developing a series of devices to facilitate interaction with its AI models, according to company president Greg Brockman. While details are scarce, Brockman hinted at a future where voice commands replace typing for most computer tasks. He also addressed concerns about privacy and legal issues, asserting OpenAI's commitment to innovation and user trust. The timeline and specifics of these devices are yet to be confirmed, but the initiative marks a significant step in integrating AI into everyday technology.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1OpenAI accelerates AI phone development for 2027
The Rundown AI · May 6, 2026 · Related
- 2OpenAI Enhances API with New Voice Models
OpenAI · May 7, 2026 · Related
- 3OpenAI Launches New Voice Models
Matt Wolfe · May 8, 2026 · Related
- 4Greg Brockman Takes Charge of OpenAI's Product Strategy
WIRED AI · May 15, 2026 · Related
- 5Greg Brockman Leads OpenAI's Product Strategy
TechCrunch AI · May 16, 2026 · Related
- 6OpenAI Plans ChatGPT Smart Speaker for 2027
The Verge AI · July 14, 2026 · Same story
- 7OpenAI Developing Screenless AI Speaker
TechCrunch AI · July 14, 2026 · Same story
- 8OpenAI launches $230 Codex Micro control pad
The Rundown AI · July 16, 2026 · Related
What happened next
- 9OpenAI Prototypes Screen-Free Smart Speaker
The AI Daily Brief · July 29, 2026 · Related
- 10OpenAI's Full-Stack Approach to AI Development
OpenAI · July 31, 2026 · Related
- 11Jony Ive and OpenAI to Launch Smart Speaker
The Verge AI · August 6, 2026 · Same story
- 12OpenAI President Urges Faster AI Security Adoption
AI News · August 18, 2026 · Related
- 13OpenAI buys Macs for private AI agents
Wes Roth · September 1, 2026 · Related
Follow this story
Open the full story →OpenAI Rumored to Develop New Hardware
2 developments
- Jul 17 · Matt Wolfe
OpenAI Rumored to Develop New Hardware - Jul 29 · The Verge AI
OpenAI Plans 'Family of Devices' for AI Interaction (This article)↳ OpenAI plans a 'family of devices' for voice-based computing in collaboration with former Apple designer Jony Ive.
More from The Verge AI
© The Verge AIGeneral AIother
AI agent 'discovery' of Maya site debunked
A Google researcher’s claim that AI agents found a new Maya site collapsed when experts pointed out it was already documented in academic literature. The incident exposes a critical blind spot: autonomous systems lack the contextual knowledge to verify findings against existing research, leading to false positives and wasted expert time. While the agent successfully processed lidar data, it failed to cross-reference its output with known records, highlighting that automation without domain expertise is prone to error. This serves as a cautionary tale for using AI in scientific discovery, where verification requires more than just pattern recognition.
The Verge AI
© The Verge AIGeneral AIother
AI chatbots frequently recommend fake retail sites
A new study reveals that major AI assistants are actively directing shoppers to counterfeit and phishing websites, with Perplexity leading at 15% risky link rates. This isn't just a hallucination quirk; it's a tangible security threat where models confidently endorse impersonators for brands like Lululemon and Birkenstock. While Google’s Gemini performed best by limiting risky outputs to 4%, the fact that these tools are becoming primary shopping assistants makes this reliability gap critical. Consumers can no longer treat AI search results as verified sources without manual cross-checking.
The Verge AI
© The Verge AIMarket & Regulationother
GDC Survey: 40% of Game Devs Use Generative AI
The GDC survey reveals a quiet but decisive shift in game development workflows. Forty percent of developers now use generative AI as part of their job, up from 36 percent last year. The adoption is heavily skewed toward free-to-play and mobile studios, where usage hits 58 and 70 percent respectively. While concept art remains niche at 22 percent, code generation and debugging have become standard tools for over half the industry. This data confirms AI has moved from experimental novelty to essential infrastructure in modern game production.
The Verge AI
More in Models & Labs
Models & Labsother
llama.cpp b12340 adds CUDA 13 and ROCm 10.0
This release quietly closes the hardware gap for local inference by adding default support for CUDA 13 and ROCm 10.0 across Linux and Windows. Users with newer NVIDIA GPUs or AMD accelerators no longer need to compile from source to get performance, while Apple Silicon builds now ship KleidiAI disabled by default, shifting the focus back to standard ARM optimizations. The inclusion of Snapdragon support for Linux and Android marks a significant step toward on-device AI beyond the x86/ARM desktop ecosystem. It is less about new features and more about ensuring llama.cpp remains the universal runtime for every available accelerator.
llama.cpp Releases
Models & Labscoding
llama.cpp b12342 adds few-row MMQ for speculative decoding
Speculative decoding just got a significant speed boost on NVIDIA GPUs. This release introduces a specialized kernel for 'few-row' matrix multiplications, targeting the small batch sizes typical of verification passes in speculative decoding workflows. By optimizing these specific operations for quantized formats like Q8_0 and IQ4 variants, llama.cpp reduces latency where it matters most during token generation. The change is CUDA-only for now but leverages hardware capabilities from Ampere onwards, making local inference faster without requiring new model architectures or complex configuration changes.
llama.cpp Releases
© TechCrunch AIModels & Labsmodels
Google deploys Gemini 4 Hydrogen for faster Search
Google is quietly shifting its search infrastructure by replacing older fast models with Gemini 4 Hydrogen, a tier designed specifically for speed and cost-efficiency rather than raw reasoning power. This model completes tasks 2.5 times faster than its predecessor while beating the more powerful Argon on specific intelligence benchmarks, proving that specialized efficiency can outperform brute force in high-volume workflows. By integrating this into Search's fan-out technique, Google now breaks down complex queries into subqueries with greater precision and speed, delivering richer visual responses without the latency of heavier models. This marks a strategic pivot toward agentic execution layers within consumer search, making AI Mode feel snappier for everyday multi-part questions.
TechCrunch AI