Google Cloud vs TwelveLabs

Anthropic IPO Valuation Drops from $2T to $1.5T Despite Profits

Anthropic has posted two consecutive quarters of adjusted operating profit, yet investor discussions have reportedly lowered its IPO valuation target from $2 trillion to $1.5 trillion. A newer draft of its S-1 prospectus, obtained by the Wall Street Journal, reveals an $80.7 billion first-half net loss and compute commitments exceeding $600 billion, potentially reaching $750 billion. Cloud partners have begun refusing additional capacity. The slowdown in growth, rather than the loss itself, is cited as the primary reason for the valuation cut. A weak debut could increase the cost of funding the broader AI infrastructure buildout. The news also covers a Google Cloud outage in London that disrupted Revolut's services across the UK, Europe, and the US.

• Anthropic's IPO valuation talk dropped from $2 trillion to $1.5 trillion.
• Anthropic reported an $80.7 billion net loss in the first half.
• Compute commitments are above $600 billion, potentially reaching $750 billion.

Revolut Outage Due to Google Cloud Power Failure

The online bank Revolut reported problems with several of its services since the morning, caused by a power outage at Google Cloud. The issue led to disruptions in Revolut's digital banking operations, affecting a range of services. The outage appears to be an infrastructure failure at Google Cloud, which is a key provider for Revolut's operations. This incident highlights the dependency of financial technology companies on cloud infrastructure and the potential impact on users when such providers experience outages. The article provides limited details due to a paywall, but the core event is clear: a Google Cloud power failure disrupted Revolut's services.

• Revolut reported problems with multiple services on the morning of October 20, 2026.
• The root cause was a power outage at Google Cloud.
• The outage affected Revolut's digital banking operations and service availability.

Google Cloud London outage disrupts Revolut, ING, Spotify

A major outage in Google Cloud's europe-west2 region in London on October 20, 2026, caused widespread service disruptions across Europe for several hours. Financial institutions such as Revolut, ING Germany, Lloyds, Halifax, HSBC, and the finance app Emma were affected, with users experiencing difficulties accessing accounts and making transactions. Other services including Spotify, DPD, Royal Mail, the NHS app, and British court livestreams also saw disruptions. Google attributed the issue to a 'power event,' acknowledged increased errors and intermittent network failures, apologized, and confirmed no cyberattack. ING stated its own issues were unrelated to the outage. The exact cause and full extent remain under investigation. This incident underscores the fragility of relying on a few cloud providers, echoing a similar AWS outage a year prior, and highlights the EU's DORA regulations requiring financial institutions to plan for such failures.

• Google Cloud outage in London (europe-west2) on October 20, 2026, caused by a power event.
• Affected services included Revolut, ING Germany, Lloyds, Halifax, HSBC, Emma, Spotify, DPD, Royal Mail, NHS app, and court livestreams.
• Google reported increased errors and intermittent network failures, apologized, and confirmed no cyberattack; exact cause and full extent still under investigation.

TwelveLabs Marengo Now in Amazon Bedrock Knowledge Base

TwelveLabs, a video intelligence company, announced two major developments. First, its Marengo video model is now available as an embedding model in Amazon Bedrock Managed Knowledge Base, enabling managed semantic video search on AWS. This integration automates ingestion, indexing, and search, eliminating the need for custom infrastructure or vector databases, while supporting metadata filters and keeping data within the customer's AWS account. Second, TwelveLabs released Pegasus 1.6, a model for egocentric video understanding in physical AI applications, such as robots, drones, and autonomous vehicles. Pegasus 1.6 supports five workflows: action segmentation, dense caption labeling, quality scoring, search/curation, and consent/compliance flagging. It builds on Pegasus 1.5 with improved entity recognition and faster processing. The CEO, Jae Lee, emphasized the mission to help machines understand the world through video.

• TwelveLabs' Marengo model is now available as an embedding model in Amazon Bedrock Managed Knowledge Base for managed semantic video search.
• Pegasus 1.6, built on Pegasus 1.5, is released for physical AI, enabling egocentric video understanding for robots, drones, and autonomous vehicles.
• Pegasus 1.6 supports five core workflows: action segmentation, dense caption labeling, quality scoring, search/curation, and consent/compliance flagging.

Marengo 3.5: Precision & Control for Frontier Video Intelligence

New blog post announcing Marengo 3.5, a frontier video intelligence model, along with posts on Compliance by TwelveLabs and a partnership with Quickplay.

TwelveLabs Launches Compliance App for Video Screening

TwelveLabs, a video intelligence company, announced the general availability of Compliance by TwelveLabs, a new SaaS solution for media, entertainment, and broadcast teams to screen video content against regional and custom compliance standards. The tool uses AI to identify potential violations with supporting rationale, reducing review time from a week to minutes for a two-hour master. It integrates NVIDIA's Synthetic Video Detector for real-time media authenticity checks and targets false-positive rates of 15% or lower. The app debuts after TwelveLabs' $100 million Series B and is the first application built on its full-stack agentic video intelligence platform. Features include rule pack authoring, real-time reviewer workflows, synthetic media flagging, and API-first access.

• TwelveLabs announced general availability of Compliance by TwelveLabs, a video content compliance SaaS.
• The solution integrates NVIDIA's Synthetic Video Detector for real-time authenticity scoring.
• It reduces manual review time for a two-hour video from about a week to minutes.