October 14, 2026

Sizing Lakebase Search: lessons from a real app and 4 million passages

Slide Hub is an internal Databricks app. Field engineers use it to find and reuse...

Power real-time applications and agents with Document Intelligence

At Databricks, our enterprise customers receive millions of documents every single...

Open AI Expands Uday Ruddarraju’s Role to Head Compute and Infrastructure Units - PYMNTS.com

OpenAI Expands Uday Ruddarraju’s Role to Head Compute and Infrastructure Units PYMNTS.com

Google says self-improving AI isn't anywhere close

Google engineer Haydn Belfield says there's no measurable acceleration of AI research driven by AI at Deepmind. AI now writes more than 75 percent of production code, but 88 percent of changes still need human oversight. The company's in-house General Capability Index shows steady growth with no sudden speedup. Self-improving AI isn't anywhere close, Belfield says. The article Google says self-improving AI isn't anywhere close appeared first on The Decoder.

Nvidia's Huang Says He Would Not Sell Chips to Irresponsible AI Customers

Nvidia Corp. Chief Executive Officer Jensen Huang says his company would stop selling chips to a customer that was developing unsafe AI software. He talks extensively about AI safety and how the industry is growing with Bloomberg's Emily Chang in London. (Source: Bloomberg)

Arrested Open AI Engineer Booked a One-Way Ticket to Saudi Arabia

The OpenAI employee who was arrested and charged with allegedly using a hidden recording device in one of the ChatGPT maker’s San Francisco offices had a one-way ticket to Saudi Arabia booked for Oct. 12, according to a court filing.

Man Accused of Bugging Open AI Said Elon Musk Was His Role Model - Gizmodo

Man Accused of Bugging OpenAI Said Elon Musk Was His Role Model Gizmodo

Meta’s Use of R&D Credits for Data Centers Probed by Democrats

Senate Democrats demanded answers from Meta Platforms, Inc. on whether it used a dubious tax strategy to reap billions in federal breaks to fund data center construction.

Google Opens Synth ID Detector to Everyone (2026) - ALM Corp

Google Opens SynthID Detector to Everyone (2026) ALM Corp

Nvidia CEO Says He Would Cut Off Customers Who Build Unsafe AI

Nvidia Corp. Chief Executive Officer Jensen Huang said he would halt the supply of chips to a customer that was developing unsafe AI software, though he doesn’t believe that the current level of concern about the technology is warranted.

AI Boom Drives ASML Higher as Nvidia Bets on Europe

Bloomberg’s Ed Ludlow breaks down ASML's earnings after the company raised its sales forecast for 2026 and said it aims to increase production of its chip-making machines to keep up with soaring AI spending. Plus, Nvidia CEO Jensen Huang announces plans to invest an additional $2 billion in European deals. And, an inside look at the making of Grand Theft Auto VI, expected to be the biggest video game blockbuster of all time. (Source: Bloomberg)

Open AI Employee Arrested Over Hidden Recording Device

An OpenAI employee has been arrested and accused of planting a hidden recording device inside an executive conference room at the company’s San Francisco offices. Bloomberg’s Rachel Metz discusses the FBI investigation, how the inexpensive device was discovered and OpenAI’s response. She joins Ed Ludlow on "Bloomberg Tech." (Source: Bloomberg)

Microsoft Disrupts 3 Phishing Kits Linked to Over 1 Billion Scam Messages - The Hacker News

Microsoft Disrupts 3 Phishing Kits Linked to Over 1 Billion Scam Messages The Hacker News

Recording device hidden in toilet paper found in top-secret Open AI meeting room

OpenAI engineer faces 5 years and $250K fine as FBI lobs foreign spy charges.

AI Just Solved 372 Open Math Problems. The Competitive Implications

average spend per month on chatGPT and anthropic. Competitive implications of more powerful AI

Open AI will reportedly ship at least one model this year but its flagship still needs alignment work

OpenAI is racing to finish its next flagship model, which uses the same looped transformer technique as Astra to boost math and coding performance. The tradeoff is that looping makes safety monitoring harder. Microsoft accidentally revealed details about how the technique works on a public page. Whether or not the flagship is ready in time, employees say one or two new models will likely ship by year's end. The article OpenAI will reportedly ship at least one model this year but its flagship still needs alignment work appeared first on The Decoder.

Hi RO-ACEv2: Simulating extreme weather at 3 km resolution for a fraction of the cost

Open AI or Anthropic IPO First? Kalshi Odds Jump 12 Points as Anthropic Courts Investors - https://tech-insider.org/

OpenAI or Anthropic IPO First? Kalshi Odds Jump 12 Points as Anthropic Courts Investors https://tech-insider.org/

Optimizing Agent Reliability and Tool Calling Efficiency for Chip Design Using NVIDIA Ne Mo Gym

AI agents offer remarkable productivity gains in complex chip design workflows, but their tendency to generate plausible yet incorrect artifacts makes...

Open AI Computing Chief to Depart - WSJ

OpenAI Computing Chief to Depart WSJ

Predictable AI spend in Big Query: Introducing cost management for generative AI functions

The generative AI functions in BigQuery (AI.GENERATE, AI.IF, AI.CLASSIFY, AI.SCORE, and more) bring large language models (LLMs) directly into your SQL, so a single query can classify millions of support tickets or score each product review for sentiment. However, because these functions are billed by the token, scaling them across massive datasets highlights the importance of managing your budget proactively. We recently announced the general availability (GA) of token-based cost management for BigQuery generative AI functions: daily quotas that let administrators set self-serve guardrails on AI token consumption, so teams can innovate while staying within your budget. In this blog, we provide an overview of cost management for BigQuery generative AI functions, walk through a few practical examples, and share resources to help you get started. Let’s jump in. Quotas for managing costs Four daily quotas, managed through the Google Cloud Identity and Access Management (IAM) quota system, provide controls at the project level and the per-user level. Per-user limits apply to each user within a project, not across your organization. Quota name Metric Scope Default value AI input tokens per day Input tokens used by the LLM Per day, per project 200 billion AI input tokens per day per user Input tokens used by the LLM Per day, per project, per user 150 billion AI output tokens per day Output and thinking tokens used by the LLM Per day, per project, per project 20 billion AI output tokens per day per user Output and thinking tokens used by the LLM Per day, per project, per user 15 billion Key details: The quotas are global. Usage is summed across all regions, so costs can't pile up unnoticed in a region you weren't watching. Output quotas include "thinking" tokens. Reasoning tokens count toward your output quota, just as they count toward your Gemini platform bill. Which functions are covered? The quotas apply to these BigQuery functions that perform LLM-backed generation: AI.GENERATE AI.GENERATE_TABLE AI.GENERATE_TEXT (and its alias ML.GENERATE_TEXT) AI.CLASSIFY AI.IF AI.SCORE AI.AGG What's not covered: Embedding functions such as AI.GENERATE_EMBEDDING (also available as ML.GENERATE_EMBEDDING) and AI.EMBED are not subject to these quotas, because they run on different, substantially cheaper models. Managing your quotas Administrators can view and adjust the quotas directly in the Google Cloud console as workloads change, with no support case required. Navigate to IAM & Admin → Quotas & System Limits. Filter by service and select BigQuery API. Sort by the Name column to bring the four AI quotas to the top. Locating the gen AI token quotas in IAM & Admin → Quotas & System Limits. 4. Find the quota, for example AI input tokens per day. 5. Open the three-dot menu and choose Edit quota. From there: To tighten cost control, lower a quota. This takes effect immediately with no approval needed. To support higher usage, request an increase from the same page. Many requests are auto-approved; larger increases may go through a quick review. Editing a gen AI token quota in IAM & Admin → Quotas & System Limits. You'll need the right permissions. You need one of: Owner, Editor, Quota Administrator (roles/servicemanagement.quotaAdmin), or Service Usage Admin (roles/serviceusage.serviceUsageAdmin). Prefer automation? You can also manage these quotas programmatically through the Cloud Quotas API, the gcloud CLI, and Terraform to apply consistent guardrails across projects. Monitoring usage Beyond setting limits, the Quotas & System Limits page displays your historical token consumption so you can quickly detect spikes and right-size your budgets. Use these trends to see how new generative AI workloads and data pipelines affect your overall token usage. Daily project-level token usage for a gen AI token quota in IAM & Admin → Quotas & System Limits. Longer-term usage graph with selectable 7-day, 14-day, 30-day, and custom ranges. For a step-by-step walkthrough, see the BigQuery documentation on controlling costs with token quotas. Token quotas vs. billing spend caps Token quotas aren't the only cost guardrail in Google Cloud. Token quotas (this feature) are preventive and AI-specific. BigQuery tracks token usage during query execution and stops work close to the limit, with separate limits per project and per user. Cloud Billing spend caps operate on dollars at the project and service level and can automatically block usage when a threshold is reached. They're a broad, financial backstop rather than a precise usage control, and because enforcement is not instant, some overages are incurred. Use token quotas as your first line of defense for AI spend, and a spend cap as a project-wide safety net. How enforcement works Quotas are enforced by stopping work rather than letting a query run past your limit. A query is rejected up front with a QuotaExceeded error only if a quota it needs is already exhausted. Otherwise, it starts, and if a quota runs out mid-query, BigQuery stops sending new LLM calls: Functions that support max_error_ratio (such as AI.IF) return partial results if unprocessed rows stay within the ratio, and otherwise fail. General-purpose functions (such as AI.GENERATE) still succeed. Skipped rows have no generated value, and their status field contains the quota-exceeded error. For details, see quota enforcement behavior in the documentation. Sizing your input data: AI.COUNT_TOKENS To choose quota values, it helps to know how much text your workloads send to a model. The AI.COUNT_TOKENS function helps with this. AI.COUNT_TOKENS returns the number of tokens a model's tokenizer produces for a text string, without making a billable generation call. Run it over a column to measure your input data: code_block <ListValue: [StructValue([('code', "-- Count the input text tokens for each product review\r\nSELECT\r\n SUM(\r\n AI.COUNT_TOKENS(\r\n CONCAT('Classify the sentiment of this review as positive, negative, or neutral: ', review_text),\r\n\r\n endpoint => 'gemini-3.1-flash-lite').result) AS total_input_tokens\r\nFROM\r\n `my_project.my_dataset.product_reviews`;"), ('language', ''), ('caption', <wagtail.rich_text.RichText object at 0x7f2cab1050d0>)])]> The count is a lower bound on input tokens. It doesn't include output or thinking tokens, the instructions each AI function adds around your input, or non-text inputs such as images. Use it to: Gauge the input side of a workload before you launch it. Right-size your quotas together with a small sample run that measures actual input and output usage. Translate tokens into dollars using the published Gemini platform pricing for your model. From tokens to budget: a worked example Suppose you want to keep a project's daily AI spend around $100 with the Gemini 3.1 Flash-Lite model. As of today's published pricing (BigQuery processes in batch which provides a 50% discount): Input tokens: $0.125 per 1 million tokens Output tokens (response + reasoning): $0.75 per 1 million tokens If a small sample run shows an average 100:1 input-to-output token ratio, you can solve for a daily budget: code_block <ListValue: [StructValue([('code', 'Cost: 0.125 × I + 0.75 × O = 100 (I, O in millions of tokens)\r\nRatio: I = 100 × O'), ('language', ''), ('caption', <wagtail.rich_text.RichText object at 0x7f2ca9572890>)])]> Solving gives about 754 million input tokens and 7.54 million output tokens per day. Set AI input tokens per day and AI output tokens per day to these values to hold the project near $100/day. If a project uses models with different prices, budget per model or blend the rates. Best practices for managing AI cost Start with per-user quotas. They stop one user or runaway experiment from draining the project's budget. Measure before you scale. Use AI.COUNT_TOKENS to size your input, then check a small sample run in the usage chart before setting limits. Mind the output side. Output tokens cost more. Where a function accepts max_output_tokens, set it to bound generation length. Monitor and iterate. Adjust limits as real usage and budgets change. Get started Token-based cost management is available now. To begin: Open IAM & Admin → Quotas & System Limits in the Google Cloud Console and filter by BigQuery API. Review the four AI-related token quotas and set limits that match your budget. Use AI.COUNT_TOKENS to size your input data. For the full details, see the documentation on controlling generative AI costs. With token-based guardrails in place, your teams can use generative AI in BigQuery with the cost predictability your organization needs.

Cloud CISO Perspectives: New Gemini Notebook can help CISOs and policymakers prepare for PQC

Welcome to the first Cloud CISO Perspectives for October 2026. Today, Stephanie Kiel explains the latest on our approach to post-quantum cryptography, and shares a new tool to help CISOs and executives prepare their organizations for PQC.As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog. If you’re reading this on the website and you’d like to receive the email version, you can subscribe here. aside_block <ListValue: [StructValue([('title', 'Get vital board insights with Google Cloud'), ('body', <wagtail.rich_text.RichText object at 0x7f2caae2a8d0>), ('btn_text', 'Visit the hub'), ('href', 'https://cloud.google.com/solutions/security/board-of-directors?utm_source=cgc-site&utm_medium=et&utm_campaign=FY26-Q2-GLOBAL-GCP39634-email-dl-dgcsm-CISOP-NL-177159&utm_content=-&utm_term=-'), ('image', <GAEImage: GCAT-replacement-logo-A>)])]> New Gemini Notebook can help CISOs and policymakers prepare for PQCBy Stephanie Kiel, Head of Cloud Security Policy, Government Affairs and Public Policy, Google Cloud Stephanie Kiel, Head of Cloud Security Policy, Government Affairs and Public Policy, Google Cloud Post-quantum cryptography (PQC) is one of the most urgent security shifts of the decade — and one of the easiest to tune out. For security leaders and policymakers, the research is dense, scattered across papers and engineering blogs, and can be challenging to turn into action.To help, we're launching Prepare for Post-Quantum Cryptography, a public Gemini Notebook that brings Google's PQC research, engineering blogs, and migration guidance together in one place. Ask it questions, listen to an audio overview, or test yourself with flashcards, and quickly get up to speed on the quantum threat.Why PQC matters nowQuantum computing is rapidly moving from theory to reality. Our Willow chip and Quantum Echoes algorithm mark substantial progress, and Google research estimates that breaking ECDLP-256 and RSA-2048 encryption — the public-key cryptography schemes protecting much of our online data — would require around 500,000 and 1 million imperfect quantum computer components (noisy qubits), respectively. To help, we're launching Prepare for Post-Quantum Cryptography, a public Gemini Notebook that brings Google's PQC research, engineering blogs, and migration guidance together in one place. This research has consequences now. It indicates that today’s online security is more vulnerable to future quantum computers than previously thought. In Store Now, Decrypt Later attacks, adversaries may steal encrypted data now and wait to decrypt it once a sufficiently powerful quantum computer exists. Data that we’ve long considered sensitive — health records, financial data, intellectual property, and government secrets — is already at risk. With continued advances in architecture, quantum algorithms, and quantum error correction shrinking future quantum hardware requirements, waiting to upgrade our digital locks is not a viable option. To help organizations stay ahead of the curve, Google has published a migration timeline noting our plans to transition to PQC by 2029, and we urge others to consider the same. As the technology advances, policymakers should consider urging critical infrastructure owners and operators to recognize condensed timelines, and build PQC readiness into existing risk mitigation plans. We also recommend governments engage with global counterparts to promote a harmonized approach to standards development, and include technical and security experts in the building of policy and regulatory requirements focused on quantum safety. Google's PQC expertise, in one notebook The Prepare for Post-Quantum Cryptography notebook turns years of Google expertise into an interactive primer that anyone can use. It's built on curated Google sources covering the quantum era, quantum computing breakthroughs like Willow, Quantum Echoes, and surface code error suppression, industry PQC standards, Google's own deployments, and the latest research. In the Gemini Notebook, you can: Get answers grounded in Google's sources. Listen to a podcast-style audio overview. Test your PQC knowledge with flashcards. Explore an interactive visual diagram of the quantum threat. Read a concise briefing document. Try these prompts To get started, here are a few questions to ask the notebook: For CISOs: "What should a CISO prioritize in the first 90 days of a PQC migration?" For anyone new to PQC: "Explain store-now-decrypt-later in plain terms." For developers: "How does hybrid ML-KEM key exchange work in Chrome?" As with all generative AI, the notebook can make mistakes, so check its responses against the linked sources. What's at stake Previous cryptographic migrations, such as moving from SHA-1 or upgrading TLS, have taken a decade or more. Waiting for the availability of a cryptographically-relevant quantum computer before beginning the migration journey represents a significant security risk given the importance of public-key cryptography for securing digital essentials like web traffic, software updates, digital identities, and signatures. For CISOs, we recommend that you start by: Understanding where vulnerable cryptography lives in your organization. Identifying and prioritizing data and systems most at risk from quantum threats, and developing a plan for addressing these risks. Anticipate system-wide effects that PQC migration could have. Building crypto-agility into your security plans, using learnings from past experiences like Heartbleed. Additional detail on these recommendations is available in our previous blog post. For the broader security community, the transition only succeeds if this knowledge is accessible to everyone — not just organizations with dedicated cryptography teams. How Google is putting PQC into practice We’ve been deploying PQC for years. Highlights include: Hybrid Kyber/ML-KEM key exchange protecting Chrome traffic PQC in Android Quantum-safe digital signatures in Cloud KMS PQC for Google's internal communications Wiz PQC readiness scanner across code, cloud, and runtime We also co-founded the Post-Quantum Cryptography Alliance at the Linux Foundation with industry leaders including Amazon Web Services, Cisco, IBM, and NVIDIA to support open-source tools like Open Quantum Safe. Build a PQC notebook for your own team Here’s how you can create a resource similar to our PQC Gemini Notebook, specific to your organization’s needs: Curate trusted sources. Start with a focused set of authoritative research, standards, and guidance. Write neutral prompts. Keep instructions factual so outputs stay grounded in your sources. Add AI disclaimers and a welcome note. Tell readers what the notebook covers and remind them that AI can make mistakes. Review all output with human oversight. Have experts check every artifact before you share it. Start preparing today The quantum transition has already started, but preparing your organization doesn't have to begin with a 100-page whitepaper. Start by understanding the threat, then assess your cryptographic inventory and build a migration roadmap. You can get started with the Prepare for Post-Quantum Cryptography Gemini Notebook and share it with your team today. To learn more about Google Cloud’s approach to PQC, check out our dedicated Google Cloud PQC Resource Hub. aside_block <ListValue: [StructValue([('title', 'Learn something new'), ('body', <wagtail.rich_text.RichText object at 0x7f2caae072d0>), ('btn_text', 'Watch now'), ('href', 'https://www.youtube.com/watch?v=Wpo-5ke9uvQ'), ('image', <GAEImage: Cloud-CISO-Perspectives-logo-A>)])]> In case you missed itHere are the latest updates, products, services, and resources from our security teams so far this month:Securing enterprise agility in the machine-speed era: Learn what executives need to know about today’s threat landscape, how security teams should respond, and why Google AI Threat Defense can help. Read more.Gemini 4 Argon available on Google Cloud: We’re making our new frontier model, Gemini 4 Argon, available for everyone on Google Cloud. Here’s how it can help boost the defender’s advantage. Read more.Android's next-gen enclave for on-device AI: Learn about Android’s enclave architecture for personalized on-device AI experiences. Read more.The Wiz Red Agent caught a Fortune 500 firm’s data exposure that other tools missed: Using an attacker’s mindset, the Red Agent found a public page exposing sensitive data in minutes. Read more.Chrome's response to recent ccTLD registry hijacks: Following recent .gh, .sl, and .as ccTLD domain hijacks, Chrome immediately blocked unauthorized HTTPS certificates via CRLSets to protect users automatically. Read more.Wiz Blue Agent POV: Investigating data theft across AWS and GitHub: See how the Blue Agent investigated a multi-platform attack in minutes, following evidence across AWS and GitHub to uncover compromised credentials, stolen source code, and custom data exfiltration tooling. Read more.Introducing Wiz AI SAST: Application security that understands you: Find, validate, and fix complex business logic flaws with an AI code scanner backed by Wiz Research, operationalized in your existing security program. Read more.Introducing WizOS Helm Charts to secure the Kubernetes supply chain: WizOS Helm Charts can help eliminate hidden CI/CD risks and unmaintained dependencies with hardened, signed, and CVE-scanned charts for Kubernetes. Read more.What’s new in Wiz Service Catalog: Smarter discovery, governance, and service-level context can help build your service catalog faster, keep service context current, and give teams a clearer path from cloud risk to accountability. Read more.Please visit the Google Cloud blog for more security stories published this month. aside_block <ListValue: [StructValue([('title', 'Join the Google Cloud CISO Community'), ('body', <wagtail.rich_text.RichText object at 0x7f2ca98e7a90>), ('btn_text', 'Learn more'), ('href', 'https://rsvp.withgoogle.com/events/google-cloud-ciso-community-interest-form-2026?utm_source=cgc-blog&utm_medium=blog&utm_campaign=FY25-Q1-global-GCP30328-physicalevent-er-dgcsm-parent-CISO-community-2025&utm_content=cisop_&utm_term=-'), ('image', <GAEImage: GCAT-replacement-logo-A>)])]> Threat Intelligence newsVulnerability discovery and exploitation trends in the AI era: To counter the increased risk from rapid vulnerability discovery and exploitation, organizations should transition from unprioritized mass-patching to threat-intelligence-driven triage, combining targeted edge-defense with automated, agentic remediation. Read more.Defending against active exploitation of Citrix NetScaler ADC and Gateway appliances: Mandiant Consulting and Google Threat Intelligence Group (GTIG) identified active, in-the-wild exploitation of a zero-day vulnerability affecting Citrix NetScaler ADC and NetScaler Gateway appliances. Here’s our containment and remediation guidance. Read more.ShinyHunters renewed mass exploitation campaign targeting Oracle PeopleSoft: Mandiant and Google Threat Intelligence Group (GTIG) have identified renewed mass exploitation of CVE-2026-35273 by UNC6240 (ShinyHunters), along with expanded global targeting across multiple sectors. Read more.Proactively defend by hardening code pipelines and CI/CD infrastructure: Check out our actionable blueprint for software and platform architects designed to safeguard the software supply chain against threat vectors that are actively being exploited, third-party risks, and architectural vulnerabilities throughout the entire software development lifecycle. Read more.Please visit the Google Cloud blog for more threat intelligence stories published this month. Now hear this: Podcasts from Google CloudCloud Security Podcast: Patching browsers with AI, agents, Rust, and your tabs: Jasika Bawa and Doug Turner of Chrome Security explore how Google Chrome now uses AI agents to autonomously identify and patch security vulnerabilities at an unprecedented scale, significantly accelerating the browser's update cadence. Listen here.Cloud Security Podcast: All about Project Atlas, Wiz's AI vulnerability research: Nir Orfeld, head of vulnerability research, Wiz, discusses how his team uses multi-agent AI systems for discovering high-impact zero-day vulnerabilities in cloud infrastructure. Listen here.Cloud Security Podcast: How Google eliminates classes of vulnerabilities at scale: How do you build the foundations for a secure Google-scale enterprise that stays secure even if an AI is writing the code and nobody has time to review it? Christoph Kern, principal security engineer, Google, explores what secure-by-design really means in the AI era. Listen here.To have our Cloud CISO Perspectives post delivered twice a month to your inbox, sign up for our newsletter. We’ll be back in a few weeks with more security-related updates from Google Cloud.

Open AI Names Ruddarraju to Lead Data Center, Computing Unit - Bloomberg.com

OpenAI Names Ruddarraju to Lead Data Center, Computing Unit Bloomberg.com

Nvidia CEO Jensen Huang 'optimistic' on AI risks, sovereignty and jobs - Le Monde.fr

Nvidia CEO Jensen Huang 'optimistic' on AI risks, sovereignty and jobs Le Monde.fr

AI’s Biggest Risk: Debt-Fueled Growth

DA Davidson Head of Technology Research Gil Luria joined Bloomberg Open Interest to explain why Nvidia’s ecosystem and chip demand could support growth through 2030, while warning that debt-heavy data-center builders may face serious pressure. (Source: Bloomberg)

Senators’ Letter to Meta - The New York Times

Senators’ Letter to Meta The New York Times

Not Nvidia. Not Micron. This Under-the-Radar Artificial Intelligence (AI) Chip Stock Could Be the Biggest Winner in 2027. - Yahoo Finance

Not Nvidia. Not Micron. This Under-the-Radar Artificial Intelligence (AI) Chip Stock Could Be the Biggest Winner in 2027. Yahoo Finance

Apple Home View vs Google Nest Hub (2nd Gen): Apple or Google? - Trusted Reviews

Apple HomeView vs Google Nest Hub (2nd Gen): Apple or Google? Trusted Reviews

Nvidia's Jensen Huang pledges $2 billion for Europe, $250 million in compute for UK safety labs

Nvidia CEO Jensen Huang announced $2 billion in European investments and new stakes in French startups like Doctolib and Entalpic. The UK gets $250 million in compute for AI agent safety and security research. Huang pitched open-weight models as Europe's way to close the AI gap. The article Nvidia's Jensen Huang pledges $2 billion for Europe, $250 million in compute for UK safety labs appeared first on The Decoder.

Introducing Private Network Gateway

Databricks serverless compute is fully managed, intelligent, and versionless, allowing...

Open AI CFO Sarah Friar Discusses AI Safety & Alignment Spending

Bloomberg's Tom MacKenzie sits down with OpenAI CFO Sarah Friar at at the International AI Summit in Dublin to discuss AI safety and alignment spending. (Source: Bloomberg)

AI guardrails designed to stop hackers are now blocking defenders, and Orion-1 aims to fill the gap

Artemis Security's new Orion-1 model is purpose-built for cyber defense and beats Claude Opus 5.5 and GPT-6 Sol on the company's own benchmark. The model fills a growing gap as general-purpose frontier models lock down their cyber capabilities, blocking defenders in the process. The article AI guardrails designed to stop hackers are now blocking defenders, and Orion-1 aims to fill the gap appeared first on The Decoder.

Anthropic warns small AI models could self-replicate through Io T devices

"Small weight-based replicators" could usher in a new generation of computer worms.

Open AI CFO Says Firms Using Chinese AI Models Are Risking Safety - Bloomberg.com

OpenAI CFO Says Firms Using Chinese AI Models Are Risking Safety Bloomberg.com

AEP to Sell Power to Google From $4 Billion Fuel Cell Project - Bloomberg.com

AEP to Sell Power to Google From $4 Billion Fuel Cell Project Bloomberg.com

What Allegations of Spying at Open AI Mean for the A.I. Industry - The New York Times

What Allegations of Spying at OpenAI Mean for the A.I. Industry The New York Times

Alleged Open AI spy vibe-coded a surveillance device using his wife's chatbot account

A Saudi national working as an engineer at OpenAI was arrested for allegedly planting an audio recording device, wrapped in toilet paper, inside the company's executive conference room. According to the indictment, he built the spy tool by vibe-coding it with a chatbot. If convicted, he faces up to five years in prison. The article Alleged OpenAI spy vibe-coded a surveillance device using his wife's chatbot account appeared first on The Decoder.

Anthropic's Princen on AI Impact on Businesses, Startups

Guillaume Princen, Anthropic Head of International Startups & Digital Native, joins Bloomberg's Tom Mackenzie on "The Opening Trade" to discuss how artificial intelligence will impact businesses, customer spending on frontier models, and AI safety risks. They speak from the International AI Summit in Dublin, Ireland. (Source: Bloomberg)

Amp puts AI agents to work beyond code with Open AI models

See how Amp pushes the frontier of what agents can do with GPT-6 Astra, Ultrafast, GPT-Live-1, and Sign in with ChatGPT.

Sentinel One cuts malware analysis from weeks to hours

With OpenAI Daybreak, SentinelOne cuts weeks of malware analysis to hours, creating capacity to investigate more threats.

Open AI May Hold Back Next Generation Model for Checks, CFO Says

OpenAI Chief Financial Officer Sarah Friar discusses artificial intelligence security concerns, telling Bloomberg's Tom Mackenzie that the firm is "doubling down" on safety and alignment, and is holding back its next generation model while it carries out checks. (Source: Bloomberg)

Deep L CEO on Voice AI Growth and Competition

DeepL CEO Jarek Kutylowski discusses surging demand for voice-to-voice translation and how AI is transforming global business. He also addresses competition with OpenAI and Anthropic, DeepL’s AWS strategy, European data sovereignty, recent workforce cuts and why the company is comfortable remaining private. He spoke with Bloomberg’s Tom Mackenzie, at the International AI Summit in Dublin, Ireland. (Source: Bloomberg)

Is AMD Even a Real Threat to Nvidia or Just a Pricing Lever? - Yahoo Finance

Is AMD Even a Real Threat to Nvidia or Just a Pricing Lever? Yahoo Finance

Is AMD Even a Real Threat to Nvidia or Just a Pricing Lever? - 24/7 Wall St.

Is AMD Even a Real Threat to Nvidia or Just a Pricing Lever? 24/7 Wall St.

Open AI, Google pushing new AI models easily tricked into making nudes, researchers say

Attack method exposes flaws in OpenAI, Google safeguards against AI nudes.

Apple-Open AI Judge Says He’s ‘Likely’ to Side With i Phone Maker

The judge in Apple Inc.’s high-stakes trade-secret theft case against OpenAI said he’s “highly likely” to grant the iPhone maker an injunction barring use of its proprietary information by former employees now at the artificial intelligence startup.

Tech Leaders on Moving AI From Pilot to Scale

Mohamed Kande, Global Chairman, PwC; Kai-Fu Lee, Founder & CEO, 01.AI and Chairman, Sinovation Ventures; Pragya Misra, Head of Public Policy & Strategy, India, OpenAI; and Noboru Saito, President & CEO, TDK Corporation discuss what it takes to move enterprise AI from pilot projects to deployment at scale with Bloomberg’s Menaka Doshi at the 2026 Bloomberg New Economy Forum in New Delhi. (Source: Bloomberg)

France carves its own path in AI race with Nvidia’s help - Euronews

France carves its own path in AI race with Nvidia’s help Euronews

MAIA: Interview of Guillaume Princen on Anthropic’s AI Strategy

In an interview on October 14, 2026, Anthropic’s Head of International Startups & Digital Native, Guillaume Princen, discussed how startups and major firms are adopting Anthropic’s AI, including Claude tools, to boost employee productivity, overhaul processes, and build new products. He highlighted growing demand for frontier models like Opus 5.5, now about 40% cheaper than its predecessor, and a shift toward using different models for specific tasks across the 5.5 family. Princen emphasized Anthropic’s safety-first approach versus open-source and open-weight competitors, underscoring third-party auditing, closer cooperation with governments, and willingness to delay or limit powerful model releases—such as with Methos—if safety concerns arise, even at the expense of near-term revenue. Original filename: 20261014_080546_Interview_of_Guillaume_Princen_on_Anthropic_s_AI_Strategy.mp4 (Source: Bloomberg)

LG CNS named preferred Korean partner for Anthropic, beefs up ties with Japan’s KDDI - KED Global

LG CNS named preferred Korean partner for Anthropic, beefs up ties with Japan’s KDDI KED Global