What is Thinking Machines Inkling? Analysis of 975B Open-Source Weights, Multimodal Architecture, and Technology
Thinking Machines Lab has officially launched its first multimodal model trained from scratch, Inkling, adopting a 975B parameter …
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Google released Gemini 4 Carbon, its most advanced frontier model optimized for complex multi-step reasoning, cybersecurity, and long-horizon coding tasks.
Google DeepMindSource ↗
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Google DeepMind
Google released Gemini 4 Carbon, its most advanced frontier model optimized for complex multi-step reasoning, cybersecurity, and long-horizon coding tasks.
Source ↗MiniMax
MiniMax launched H3-Image, an open-weight image generation model capable of rendering 4K resolution images in 10 seconds with support for up to 16 reference images.
Source ↗ElevenLabs
ElevenLabs introduced Scribe v3 and Scribe v3 Live, its highest-accuracy speech-to-text transcription and diarization models to date.
Source ↗OpenAI
OpenAI launched Businesses in ChatGPT in beta, providing verified merchants with brand profiles, engagement analytics, and custom Business Agents.
Source ↗JetBrains
JetBrains shipped version 2026.3 of ReSharper and Rider, introducing native multi-agent orchestration via JetBrains Air and direct integration for Claude Agent and Codex.
Source ↗Cursor
Cursor introduced Team Projects in beta, enabling engineering teams and their autonomous agents to share a unified workspace context.
Source ↗Stripe
OpenRouter announced it is officially joining Stripe to expand its AI infrastructure platform supporting multi-model routing and enterprise spend policies.
Google DeepMind & Artificial Analysis
Google DeepMind and Artificial Analysis introduced the Multimodal Knowledge Agent (MKA) benchmark to evaluate agent reasoning across complex multimodal professional files.
Source ↗Microsoft Research
Microsoft Research published findings on the Lazarus technique, demonstrating that reprogramming a small subset of dormant neurons in LLMs can implant hidden backdoors in AI agents.
Source ↗JetBrains
JetBrains published its tenth annual developer survey, revealing that over half of professional developers now use AI agents for more than 60% of their daily coding tasks.
Source ↗The latest 24 stories
Thinking Machines Lab has officially launched its first multimodal model trained from scratch, Inkling, adopting a 975B parameter …
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An in-depth look at the Boogu-Image-0.1 open-source model family, exploring how its 10B parameter architecture achieves high-quality image …
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Is AI-generated image quality always subjective? The Qwen team has open-sourced Qwen-Image-Bench and the Q-Judger AI judge based on Qwen3.6-27B. …
Want to generate high-quality AI images on your phone? PrismML introduces the Bonsai Image 4B diffusion model built for local devices. By …
Explore the 8-billion-parameter MOSS-TTS-v1.5 speech synthesis model. Learn how this open-source tool uses precise pause control, 31-language …
Content creators often struggle to find the right sound effects. The new MOSS-SoundEffect-v2.0 model supports bilingual prompts, generating 48kHz …
Tired of complex PDFs and tables? Deep dive into the NuExtract3 model from the NuMind team! Requires only 4GB VRAM for local deployment, …
Want to run powerful AI on your laptop? This article dives deep into OpenBMB's MiniCPM5-1B. Explore its unique Hybrid Reasoning mechanism, RL+OPD …
A deep dive into Tencent's latest open-source Hy-MT2 multilingual translation model! The team utilized AngelSlim 1.25-bit extreme quantization …
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