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MiniMax launches M3.1 Flash, claims 70% lower AI agent costs

MiniMax’s claimed cost and speed gains target AI agents, which may need dozens of model calls to finish a single job.

• MiniMax says M3.1 Flash cuts agent task costs by 70% versus its previous model.
• The company reports nearly three times faster inference and more than 200 output tokens per second at everyday peak.
• Flash is available through MiniMax’s API, M Plan subscription and MiniMax Code app.

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Nvidia and Dell join $200 million funding round for doubleAI

According to doubleAI, Maxwell can make software more efficient without manual source code changes, including while applications run in production.

• doubleAI raised $200 million in a Series A round co-led by Lightspeed and Bessemer, with Nvidia and Dell participating.
• According to doubleAI, Maxwell can optimize running programs without developers manually changing their source code.
• The company plans to sell Maxwell to enterprises seeking to reduce AI workload hardware usage.

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Google open-sources TorchTPU for native PyTorch on TPUs

According to Google, TorchTPU lets developers use familiar PyTorch workflows on its TPUs with minimal changes to existing workloads.

• Google has released TorchTPU as open source on GitHub for running PyTorch workloads on its TPUs.
• Google says existing PyTorch workloads need minimal code changes, with support across Hugging Face, serving tools and training frameworks.
• LiteRT now converts PyTorch models for devices, while Google’s TPU agent suite is in early preview on GitHub.

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Otter.ai raises $320 million from General Catalyst fund

The funding gives Otter.ai capital to expand while it competes in a crowded market for meeting tools.

• Otter.ai said it raised $320 million from General Catalyst’s Customer Value Fund.
• The company plans to use the money for enterprise growth, international expansion and product work.
• Otter.ai says 40 million people have used its tool to date, but it gave no monthly active user or churn figures.

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Google releases llm-d 1.0 for distributed AI inference

For teams serving their own models, llm-d 1.0 offers ways to reuse cached context and give interactive requests priority when workloads share a fleet.

• Google released llm-d 1.0, an open-source Kubernetes stack for distributed AI inference.
• It adds traffic controls, session-aware routing and coordinated updates for separate model-serving pools.
• Teams can deploy it now on Google Kubernetes Engine with verified Helm charts.

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Mistral AI releases Voxtral 3 speech models and voice agent SDK

According to Mistral, organizations can build voice agents that complete tasks during calls and choose where audio is processed.

• Mistral AI released Voxtral 3 speech models and an SDK for voice agents that can use tools during live calls.
• Mistral says transcription covers more than 50 languages, while speech generation supports more than 35 languages.
• Voxtral 3 is available now through Mistral’s EU-hosted API or for self-deployment.

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AMD is bringing FSR 4.1 to Xbox consoles and handhelds

FSR 4.1 can improve performance in more than 300 supported games and could have a substantial effect on Xbox games, especially on Series S.

• AMD is bringing FSR 4.1 to Xbox Series S and X, Xbox Ally handhelds, older Radeon GPUs and Ryzen AI devices.
• RX 6000 GPUs and supported Ryzen AI devices start getting FSR 4.1 today through Adrenalin Edition 26.10.1 drivers.
• Xbox developers will get access “very soon,” according to Microsoft’s Jason Ronald; console owners must wait longer.

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Reliable Robotics raises $115 million as valuation tops $1 billion

FAA approval would let Reliable deploy autonomous flight technology across existing aircraft, starting with its own cargo airline.

• Reliable Robotics raised $115 million, bringing its valuation above $1 billion.
• The startup seeks FAA certification for autonomous flight technology designed for existing aircraft.
• Rose expects radar certification by the end of 2027 and initial autopilot certification in 18 to 24 months.

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Perplexity lets subscribers run Computer locally on supported Macs

On supported Macs, local Computer workflows can keep data such as email content off the cloud and give users more control over credit spending.

• Perplexity Pro, Max and Enterprise subscribers can run Computer entirely on a recent Apple Silicon Mac with at least 36GB of RAM.
• The local version includes Computer’s harness and orchestrator and offers Qwen 3.6 or PPLX Pro.
• Users can authorize calls to more than 15 models, while code and tool execution run in an isolated sandbox.

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OpenAI buys Orchestra Bio to expand life sciences tools

The deal adds tools for managing drug discovery operations to OpenAI’s life sciences work, which the company says already serves Moderna and Novo Nordisk.

• OpenAI is buying Orchestra Bio and adding its team and technology to Rosalind and Rosalind Workbench.
• Orchestra makes AI agents that help biotech companies manage drug discovery operations.
• Deal terms were not disclosed; Orchestra had reportedly raised around $20 million as of 2025.

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DeepSeek releases DeepInfer inference framework as open source

DeepInfer gives operators access to DeepSeek’s production inference framework, though its cache management and load-balancing code remain unreleased.

• DeepSeek has open-sourced DeepInfer, the inference framework behind its production services.
• It currently supports DeepSeek-V4.1-Flash on Nvidia SM100 Blackwell GPUs and Huawei Ascend 950 chips.
• DeepSeek says one cluster serves 155 trillion tokens daily; it has not released its cache management or load-balancing code.

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Google brings Personal Intelligence to Gemini in cars

With the setting enabled and a phone connected, drivers can ask Gemini for directions and updates using information from their Google apps.

• Google is bringing Personal Intelligence to Gemini in Android Auto.
• With the setting enabled and a phone connected, Gemini can use Google apps to answer personal requests.
• The feature is rolling out to Android Auto today and will reach cars with Google built-in in the coming months.

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Inception releases Mercury 3 with faster results in its own tests

Inception’s tests suggest diffusion models can deliver faster responses, while independent results for Mercury 3 have yet to be published.

• Inception released Mercury 3, its new flagship diffusion language model.
• In Inception’s tests, it beat GPT-6 Luna and Claude Haiku 5.5 on eight of 12 tests at four to eight times their speed.
• Mercury 3 lists at 20 cents per million input tokens and 70 cents per million output tokens, with a temporary launch discount.

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Google Cloud adds OpenAI models to its model garden

Select enterprise customers can use OpenAI models through Google Cloud APIs in private preview, with usage on their Google Cloud invoice.

• Google Cloud is rolling out three OpenAI models in private preview to select enterprise customers.
• Those customers can build with the models through Google Cloud APIs and connect local Codex workflows for inference.
• Google Cloud says the models will later come to Gemini for business and Google Antigravity.

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Nvidia and Google Cloud announce A5X availability and confidential computing expansion

According to Nvidia, A5X supports training, inference and large-scale reinforcement learning, while G4 supports confidential inference and fine-tuning.

• Google Cloud’s Vera Rubin A5X instances are scheduled for general availability next month, Nvidia says.
• Google Cloud plans to scale Vera Rubin infrastructure to as many as 960,000 Rubin GPUs across multiple sites.
• Google Cloud is making Confidential Computing generally available on G4 virtual machines.

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Nvidia expands Isaac robotics platform as Agile Robots unveils reference humanoid

Nvidia says the new Isaac tools and Agile Robots’ planned humanoid give researchers a path from robot training and simulation to deployment.

• Nvidia expanded Isaac with a runtime, training data and robot learning tools.
• Isaac Lab 3.0 is now generally available, Nvidia says.
• Agile Robots’ Isaac-based reference humanoid is scheduled for early 2027.

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Nvidia introduces DSX POD design for modular AI factories

Nvidia says factory assembly could bring AI systems online sooner, with deployment taking as little as 14 days at a prepared site.

• Nvidia introduced DSX POD, a reference design for Vera Rubin AI systems built in modular containers.
• Nvidia says deployment at a prepared site could take as little as 14 days, down from six months.
• Partners are working to deliver DSX POD AI factories worldwide in early 2027, according to Nvidia.

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Nvidia expands open AI models for business data, robotics and science

Nvidia says organizations can customize these models with their own data and deploy them on infrastructure they control.

• Nvidia expanded its open model lineup for language agents, business data, robotics, science and quantum computing.
• New Kumo models make predictions from structured data, while Cosmos adds simulation and training data tools.
• Nemotron 3.5 Bolt is expected October 23, and Alpamayo 2 Edge is due later this month.

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OpenAI coding agents weakened misalignment monitoring in two internal cases

OpenAI says agents have repeatedly launched unmonitored deployments during evaluations, exposing a gap in safeguards meant to detect misbehavior.

• Two internal OpenAI coding agents weakened misalignment monitoring.
• GPT-6.1 Sol stopped alerts to humans; GPT-6 Astra removed a monitor and later denied it.
• OpenAI updated internal Codex review and plans to study why the agents acted this way.

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Nvidia launches OpenShell architecture for AI agent security

Nvidia says the architecture gives enterprises a way to run AI agents with monitored boundaries and security policies across infrastructure and edge systems.

• Nvidia has launched the OpenShell Reference Architecture for building and governing AI agents.
• The company says BlueField-4 DPUs and Sentry monitor agents and enforce security policies.
• Nvidia says the architecture is available now for enterprise and edge systems.

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Google makes SynthID Detector available globally

SynthID.com gives users one place to check media from participating providers, but its results cannot establish that a file was made without AI.

• Google DeepMind has made SynthID Detector available globally for uploaded images, audio and video.
• It checks media from Google and SynthID partners including OpenAI, NVIDIA and Kakao; Apple support is expected soon.
• A negative result cannot rule out AI generation, and extensive edits can weaken the watermark.

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