Search “Reasoning”

Microsoft AI has released the image editing model MAI-Image-2.7-Preview, which ranks second on Artificial Analysis's AA-Image-Editing v2.1 leaderboard, behind only OpenAI's GPT Image 2.5 Sunburst (max). The model outperforms MAI-Image-2.6 on all 7 evaluated editing actions, with the largest improvement in composition and framing (+57 Elo), followed by text or symbol editing +49 and scene and style editing +48, and it ranks first in 4 categories: scene and style editing, text or symbol editing, r

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Google DeepMind releases the world model Genie 4, focused on real-time interactive simulation and introducing native audio for the first time in the series. The model is built on capabilities from the Gemini family: Gemini Omni is responsible for making simulations match the appearance and behavior of the real world, while other Gemini models provide the complex reasoning needed to maintain simulation coherence. Users can control scenes in real time using natural language, such as moving the cam

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Ant inclusionAI has open-sourced Zooming without Zooming v2 (ZwZ2), trained on Qwen3.5-4B/9B and Qwen3.6-27B using GRPO reinforcement learning, with training data consisting of 20.4K multi-region VQA samples validated across models. The models are trained on full images and require no zooming tools at inference time, and can be transferred to perception, spatial reasoning, long-context understanding, and multimodal agent tasks. The code, data synthesis, and evaluation pipeline are all released u

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On October 26 local time, on the same day Anthropic submitted its IPO registration filing to the SEC, OpenAI released its new model GPT-6.1 Terra, with standard API prices cut by 50% compared with the previous generation. The model focuses on visual understanding and computer operation, with standard API pricing at $1 per million input tokens, $5 for output, and $0.05 for cached input; on the Terminal-Bench 4.0 coding benchmark, it scored 50.3% at the highest reasoning effort, compared with 21.5

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OpenAI has released GPT-6.1 Terra, with API pricing at $1 per million input tokens and $5 per million output tokens, down 50% and about 58% respectively from the previous generation, and half the price of GPT-6.1 Sol. OpenAI says its task completion rate on Terminal-Bench 4.0 rose from 21.5% to 50.3%, and its error rate at the highest reasoning level on difficult factual tests dropped to 4.3%. Third-party organization Artificial Analysis measured an intelligence index of 48 points, lower than So

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OpenAI has released GPT-6.1 Terra, with API pricing at $1 per million input tokens and $5 per million output tokens, representing a 50% and approximately 58% decrease in input and output prices respectively compared to the previous generation, and only half that of GPT-6.1 Sol. The company claims its task completion rate on Terminal-Bench 4.0 increased from 21.5% to 50.3%, and it scored 60.0% on Agents' Last Exam, close to Claude Opus 5.5's 63.2%. Artificial Analysis measured an intelligence ind

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OpenAI has released GPT-6.1 Terra, which combines visual reasoning, computer use, and coding capabilities. Its API pricing is $1 per million input tokens, $0.05 per million cached input tokens, and $5 per million output tokens, 50% lower than GPT-5.6 Terra and GPT-6.1 Sol. Starting October 27, the model is available to Plus, Pro, Enterprise, and Edu users of ChatGPT Work and Codex, and developers can call it via the API as gpt-6.1-terra. On Terminal-Bench 4.0, it solves 50.3% of tasks at maximum

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OpenAI released GPT-6.1 Terra, focused on visual reasoning, computer operation, and writing. It is now available to Plus, Pro, Enterprise, and Edu users of ChatGPT Work and Codex, as well as via API. The standard API charges $1, $0.05, and $5 per million input, cached input, and output tokens respectively, 50% lower than GPT-5.6 Terra and GPT-6.1 Sol. Anthropic has submitted an S-1 to the SEC to list on Nasdaq under the ticker "ANT"; first-half revenue was $16.286 billion, with net loss widening

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OpenAI has released GPT-6.1 Terra, an upgraded version of GPT-5.6 Terra, with standard API prices reduced by about 50%, and it handles computer operation tasks faster and more accurately. The model is now available to ChatGPT Plus, Pro, Enterprise, and Edu users, and can be used in ChatGPT Work and Codex. On Terminal-Bench 4.0, at the highest reasoning effort, the task resolution rate is 50.3%, higher than the previous generation's 21.5%; however, OpenAI says that in nearly 30% of simulated runs

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Ant Group's AntLingAGI has released Ling 3.1 Flash 1019, an updated version of Ling 3.1 Flash, scoring 44 on the Artificial Analysis Intelligence Index v4.3, up from 41 for the previous generation. The model is a reasoning model with 560B total parameters and 25B activated parameters, supports a 1M token context window, is released under the MIT license, is available as open weights on Hugging Face, and can be accessed via InclusionAI's first-party API. In terms of agentic capabilities, AA-Brief

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NVIDIA announced a $3 billion investment in Meta's equity offering, and the two companies will expand their collaboration on the personal agent product Muse and the Muse series of models to improve model inference and training performance. The investment is part of Meta's $95 billion fundraising plan, and AMD and Broadcom have also expressed interest in investing. Meta expects full-year capital expenditure of $135 billion to $145 billion and will consider adopting NVIDIA's OpenShell secure agent

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Google DeepMind has released Genie 4, a new-generation general-purpose world model. For the first time in the Genie series, it natively generates ambient sound and improvised character dialogue, doubles the duration of a single coherent world to about 2 minutes, and renders real-machine footage at about 24 frames per second. The model uses Gemini 3.8 Flash to perform multi-step reasoning and control in the background and Gemini 4 Argon to break down action instructions, forming a hybrid world mo

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Oracle and Google announced at Oracle AI World that Google TPU will be offered through Oracle Cloud Infrastructure (OCI). Oracle says OCI is the first hyperscale cloud platform outside Google to offer Google TPU, with availability planned within the 2027 calendar year. OCI will handle power, cooling, and data center networking, supporting large model training, post-training (including dense and MoE models), as well as production inference for inference, agent, and long-context scenarios. The two

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On October 27, Liquid AI released the LFM3 series. All six 2B-parameter-class open-weight models branch from the same LFM3-1.7B-Base, covering text, vision, audio, omni-modal, and decision models. LFM3-1.7B has 1.73B parameters, a 256K token context, supports 16 languages, and adopts a Tri-Hybrid architecture with 13 layers of gated short convolutions, 5 layers of sliding-window attention, and 6 layers of global attention. It is available under the LFM Open License v1.0 on Hugging Face, the Liqu

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Oracle announced plans to offer Google TPU accelerators in its own public cloud; this is the first time Google has supplied chips to another hyperscale cloud provider, with deployment set to begin next year and gradually scale up. Oracle will also deploy Cerebras' wafer-scale accelerators and OpenAI's Jalapeño inference chips, and use OpenAI models to power new cloud services. The two sides are also launching AI Workspace, which lets ChatGPT perform tasks on users' behalf within Oracle applicati

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Ai2 released the "Old Ideas, Novel Problems" study and a companion benchmark, testing the reliability of six models—GPT-5.1, GPT-5.2, GPT-5.4, Claude Sonnet 4.5, Claude Opus 4.5, and Claude Opus 4.6—at judging the novelty of research ideas. The results show that small changes to the evaluation setup produce drastic differences: after switching GPT-5.4 to a simpler prompt on the Human+Generated data, its accuracy dropped from 93.5% to 40.9%, below chance level. The study also found that retrieval

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NVIDIA and Meta announced an expanded collaboration around Muse and the Muse family of models to improve inference and training performance, with NVIDIA investing $3 billion in Meta equity. Meta plans to expand its deployment of NVIDIA infrastructure, including the Vera Rubin platform and Vera CPU for next-generation AI agents, and to deploy Spectrum-X Ethernet networking and BlueField-4. The two sides will also explore collaboration on secure AI agent deployment and behavior monitoring on NVIDI

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LiteRT in Google Play services receives its biggest upgrade: GPU inference based on ML Drift is about 1.4x faster than the old GPU delegate and is provided through the new CompiledModel API. After switching to this runtime, app size shrinks by about 8 MB, because the runtime is distributed uniformly with Play services and is no longer packaged into the APK; currently more than 100,000 Android apps already bundle LiteRT or TensorFlow Lite. This solution supports Android 7 and above, Wear OS 4+, a

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