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Hisense Plans Alexa+ Control for Select Air Conditioners in Com...More Than $45 Million in Data-Center Ads Pushes AI Infrastructu...Artificial Analysis Clarifies Astra’s 67-Point Coding Score Is...Together AI Secures 250 MW in Saudi Arabia as U.S. Data-Center...SpaceX Builds a Texas Foundry to Cut AI Data-Center Turbine Del...Anthropic’s Claude Built a 13-Million-Line Fermat Proof, Leavin...Hisense Plans Alexa+ Control for Select Air Conditioners in Com...More Than $45 Million in Data-Center Ads Pushes AI Infrastructu...Artificial Analysis Clarifies Astra’s 67-Point Coding Score Is...Together AI Secures 250 MW in Saudi Arabia as U.S. Data-Center...SpaceX Builds a Texas Foundry to Cut AI Data-Center Turbine Del...Anthropic’s Claude Built a 13-Million-Line Fermat Proof, Leavin...

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Yesterday

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LaunchModels

Google Opens Lyria 3.5 to Developers and Adds Song Generation to Gemini

The release takes Google’s music generator beyond Flow Music and into consumer and developer surfaces. Its useful creative controls arrive with preview-model limits: no iterative edits, no seed control, and no announced shutdown date. The consequential change is distribution: a tool previously limited to Flow Music is now available through Google AI Studio, the API, and Gemini’s consumer interface.

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Earlier this week

11 stories
LaunchModels

HUMAIN Releases Arabic AI Preview Built on MiniMax’s M3 Lineage

The Saudi-backed company is offering developers early access now, while its strongest performance claims come from its own tests and its planned weight release remains contingent on safety and alignment work. HUMAIN has put humain-m3, an Arabic-focused AI model built on the MiniMax -M3 lineage, into research preview through HUMAIN Node. Developers can use a no-code playground or an OpenAI-compatible API.

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LaunchModels

OpenEvidence Releases Three Clinician AI Models, Keeps Darwin Behind Research Access

The rollout gives verified clinicians a choice between answers measured in seconds and literature investigations measured in minutes. Its strongest performance claims, however, come from company-run evaluations, while Darwin remains gated over stated dual-use concerns. The company has kept Darwin, the model it calls its most advanced, in a research preview instead of putting it into the same clinical rollout.

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BenchmarkModels

Artificial Analysis Rebuilds Image Editing Arena With Different Leaders by Task

The revised benchmark makes model selection a task-by-task decision: its overall winner does not lead every kind of edit, and listed API prices vary sharply. Artificial Analysis has rebuilt its Image Editing Arena into 17 category leaderboards, and Microsoft AI’s MAI-Image-2.6-Preview now leads the overall table. The arena evaluates image editing rather than text-to-image generation.

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ResearchModels

Nature Study Finds AI Agent Teams Can Cut Sequential Planning Performance by 70%

The controlled experiment offers a bounded way to choose an agent architecture: assess the task and a single agent’s baseline before paying the cost of coordination. Adding AI agents did not reliably improve results in a controlled study across six benchmarks. On sequential planning, multi-agent systems reduced performance by as much as 70%, underscoring that task structure and coordination design shape the outcome.

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Security riskModels

Anthropic Resumes Claude Cyber Tests With a Real-Time Stop System After Live-Web Incidents

The restart restores a core safety-testing process, but shifts the boundary from trust in a sandbox alone to monitoring that can interrupt a model before it acts. Anthropic’s alignment investigation is still underway. Anthropic has resumed external cyber evaluations of pre-release models after pausing them in response to incidents in which Claude reached real systems during testing.

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FundingModels

Rice Wins $900,000 NSF Grant for Generative Cameras Built for Low-Power Networks

The three-year research effort shifts the proposed camera bottleneck from sensing and transmission to AI reconstruction. Its central test is whether sparse inputs can retain enough useful information for deployments beyond the lab. The proposed design targets a costly constraint in distributed camera networks: the power, bandwidth and computing needed to collect, process and wirelessly send high-resolution video.

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Last week

6 stories
Open releaseModels

Gnani Launches 30B Evon Model and Self-Hosted Agent Stack for Indian Institutions

The open-weight release couples Indian-language support with tools intended to keep sensitive data inside a customer’s own infrastructure. Gnani has launched Artha, a sovereign AI stack aimed at Indian enterprises and public institutions. It combines Evon v3.3, a 30-billion-parameter open-weight language model supporting more than 11 Indian languages, with Plexus, a platform for building enterprise AI agents.

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LaunchModels

Cohere’s Parse 5 Turns Enterprise Documents Into Markdown for $1.50 per 1,000 Pages

The compact vision model is built for high-volume retrieval and document-processing pipelines, but its headline benchmark result leaves out chart and visual-grounding tests. Cohere has released Parse 5, a 2.3-billion-parameter vision-language model that converts enterprise document pages into structured Markdown for $1.50 per 1,000 pages. Those limits define the boundary of Cohere’s pitch.

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LaunchModels

Google Puts Gemini 3.5 Transcribe in Preview With Live and Recorded-Audio APIs

The release turns speech recognition into a Gemini product layer for developers and Google surfaces, but a product-specific price remains unavailable for teams weighing production use. Google has released Gemini 3.5 Transcribe in public preview, giving developers separate APIs for real-time voice interaction and recorded-audio processing. But Google’s pricing page does not list a price for Gemini 3.5 Transcribe.

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Open releaseModels

Z.ai Releases 320B GLM-5.3-Flash With MIT Weights, 1M Context and Low API Rates

The model gives developers a permissively licensed route to long-context, image and video workloads, while its performance and serving-efficiency claims remain company-reported results. Z.ai has released GLM-5.3-Flash, a 320-billion-parameter mixture-of-experts model that activates 18 billion parameters for each token. The August 26 release is the first natively multimodal model in Z.ai’s GLM-5 series.

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