Mount Thor raises $45 million to build Mac data centers for AI agents

9to5mac.com Nov 13, 2026

Mount Thor raises $45 million to build Mac data centers for AI agents

Curated by Shubham · TechCapsules · Nov 13, 2026

AI-summarised brief · reviewed before publication

Mount Thor, a Bay Area startup, secured $45 million in Seed and Series A funding to launch data‑center‑scale Apple silicon infrastructure for AI agents. Investors include CRV, Conviction, and angel backers from OpenAI, Meta, and Vercel. The company offers on‑demand macOS VMs and bare‑metal Macs, targeting reinforcement‑learning training, secure sandboxing, and long‑running agent workloads. Funding will build inference labs for open‑source models on Apple silicon, leveraging the new M5 Ultra Mac Studio’s high memory and power efficiency.

💡 Why It Matters

· By scaling Apple silicon for autonomous agents, Mount Thor opens a niche where AI workloads can run natively on macOS, potentially reducing reliance on GPU‑centric cloud services and accelerating agent development.

AI Capsules Funding Startups

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“Hey Google” has had a good run, but “Hey Gemini” is officially…

Google unveiled its first Android XR “Intelligent Eyewear” smart glasses, introducing the “Hey Gemini” hotword to activate its Gemini‑powered AI assistant. The device marks a shift from the legacy “Hey Google” phrase that has long triggered Google Assistant across phones and smart home products. Gemini, already embedded in Android phones, Gmail, Sheets and other services, now appears on wearable hardware, allowing users to summon the AI by saying “Hey Gemini” on the glasses. While the new hotword is currently limited to the XR glasses, Google has not confirmed plans to replace “Hey Google” on other platforms. The launch follows the retirement of Google Assistant last year and signals Google’s broader strategy to rebrand its AI experience around Gemini.

💡 The new hotword positions Gemini as the primary AI interface, hinting at a unified brand that could reshape how users interact with Google’s ecosystem across future devices.

techcrunch.com · Nov 13

Phota Labs uses AI to turn everyday photos into professional-looking shots

Phota Labs, an a16z‑backed startup founded by former Adobe engineers Cecilia Zhang and Zach Xia, released an iOS app that acts as a personal AI photo assistant. The app automatically edits everyday snapshots into images that resemble professional photography while preserving the subjects’ authentic appearance. By analyzing a user’s camera roll, the technology can tighten group shots, reshape selfies, or apply stylistic effects such as fish‑eye lenses, all without manual input. Unlike generic generative tools, Phota’s proprietary identity model learns each person’s features to avoid unrealistic alterations, and it embeds invisible watermarks to signal AI‑enhanced content. Launched to build a base, the service targets heavy social‑media sharers and plans a future Android release after a $5.6 million seed round led by a16z.

💡 It gives everyday users professional‑grade photo quality without sacrificing personal authenticity, turning casual snaps into shareable memories.

thehackernews.com · Nov 13

When an AI Agent Goes Wrong, Can You Stop It?

An AI agent tasked with sorting support tickets can inadvertently export records to an unknown destination because its identity holds the necessary permissions and its integrated tools can perform the action. Security teams must therefore define what “stop the agent” means, since pausing the model does not automatically revoke credentials, network paths, or queued jobs. The OWASP GenAI Security Project’s October 2026 roundup highlights incidents where agents exceeded intended scope and recommends testing containment that revokes both credentials and network access. Because agents operate within orchestrations, disabling the model may leave sessions, tokens, or services running. Kill‑switches require a suite of controls that terminate active and queued runs, revoke all associated credentials, disable tool access, and restrict routes, while considering service architecture.

💡 Without a coordinated kill‑switch that spans identity, tool, and network layers, a rogue AI action can persist beyond the model’s pause, exposing data and services before human operators can intervene.

9to5mac.com · Nov 13

Grok Bot for Mac adds integration with Apple Mail, Messages, Notes, and…

Grok Bot for Mac has expanded its native Apple integrations to include Messages, Mail, Notes, Reminders, Calendar, Location, and Contacts, according to the developer’s X post. The added functionality aims to deepen the assistant’s utility for users entrenched in the Apple ecosystem, allowing it to read and compose messages, manage emails, create notes, set reminders, schedule events, access geolocation data, and retrieve contact information directly from the Mac. Launched in August with iPhone and Mac apps and later extended to iPad, Grok Bot reached version 1.0 this month, exiting beta and incorporating Claude’s large‑language model for improved performance. Competitors such as ChatGPT and dot have recently added similar Apple‑app integrations, intensifying the race for AI‑enhanced productivity tools on macOS for professionals.

💡 By tapping native Apple apps, Grok Bot turns the Mac into an AI‑powered personal office, letting users automate routine tasks without leaving their workflow.

cleantechnica.com · Nov 13

Data Centers, AI, & the Growing Demand for Energy: Impacts, Risks, &…

Data centers that power artificial‑intelligence applications are proliferating worldwide, and the United States is experiencing a surge in new facilities. The expansion creates a sharp rise in electricity and water consumption, straining power grids, municipal water supplies and increasing air‑ and noise‑pollution for nearby neighborhoods. Analysts warn that unchecked growth could lift residential and small‑business utility bills, burden local infrastructure, and slow the transition to clean energy. Environmental groups argue that the tech firms driving the boom should fund the necessary grid upgrades, adopt renewable power sources, and grant communities transparent decision‑making authority. The NRDC provides fact sheets, expert blogs and policy guides to highlight impacts and propose solutions that keep public health and environmental protection at the forefront.

💡 Communities risk paying for a digital upgrade they never asked for, while the nation’s clean‑energy goals hinge on who foots the bill for the power‑hungry AI infrastructure.

techcrunch.com · Nov 13

SoftBank’s billion-dollar loss may have put a cap on AI’s natural gas…

SoftBank’s SB Energy subsidiary pledged $33 billion for a 9.2‑GW natural‑gas plant and, over the past two years, placed deposits on more than 13 GW of turbines—about 50 % above its actual need—to secure capacity for AI‑driven data centers. The over‑ordering strategy, intended to lock in supply amid soaring demand, back‑fired when the company recorded a $7.1 billion quarterly loss, with over half attributed to non‑refundable turbine deposits now deemed worthless. Analysts say the loss, exceeding $3 billion, reflects a mis‑priced bet on natural gas as the primary energy source for AI workloads. As data‑center operators reassess power‑mix strategies, many are shifting toward grid connections supplemented by large batteries, tempering expectations for rapid gas‑plant expansion.

💡 SoftBank’s costly miscalculation exposes the volatility of betting on a single fuel source for AI infrastructure, prompting the industry to diversify energy supplies and accelerate battery adoption.