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Claude delivers the most leverage when used for high-impact work rather than routine automation.

OpenAI has released its new frontier model family for ChatGPT Work, Codex, and the OpenAI API. The GPT-5.6 family has three tiers: Sol, the flagship model; Terra, a lower-cost everyday work option; and Luna, the fastest and most affordable model. The series features higher intelligence per token, lower estimated cost for complex work, and stronger agentic performance. There is a new 'ultra' setting that coordinates multiple agents across parallel workstreams for demanding tasks.

OpenAI is releasing GPT-5.6 Sol, Terra, and Luna tomorrow. It is currently expanding preview access globally. Sol is the flagship model. Terra is a balanced model for everyday work. Luna is a fast and affordable model. Terra has competitive performance to GPT‑5.5 while being 2x cheaper and Luna brings strong capability at our lowest cost.

Recursive self-improvement (RSI) is when ultraintelligent machines can design better machines to improve themselves and surpass humans in all intellectual activities. The feedback loop in modern AI involves models improving the training pipeline and deployment system, which enables better successor models with improved performance. A harness is the system surrounding a base model that orchestrates execution and decides how a model thinks and plans, calls tools and acts, perceives and manages context, stores artifacts, and evaluates results. This post looks at the research around harness engineering and how it contributes to RSI.

Apple accused OpenAI and former Apple executives of stealing confidential hardware information to support OpenAI's device ambitions. The lawsuit alleged that senior leaders directed employees to bypass security procedures and transfer sensitive product details.

Saachi Jain, who has led OpenAI's safety teams before, will be the interim head of safety systems following Johannes Heidecke's departure.

Accounting AI leaders on an Earmark webinar struggled to identify workflows that AI agents fully own today, instead pointing to practical but bounded use cases like Excel automation, inbox management, dashboards, meeting notes, and standardized recurring tasks. The discussion reinforces that finance and accounting teams are adopting AI through structured, repeatable workflows first, while keeping humans involved for close processes, judgment, compliance, and final review.

Muse Image is an image-generation model that can create and edit images. It is now available in the Meta AI app, Instagram Stories, and WhatsApp. The model can perform multi-reference composition, room redesigns, prompt-based image creation and editing, and more. It can draw from public Instagram photos when a user tags an account. There will be an invisible watermark in the images it generates.

Anthropic announced that Claude Cowork sessions and files would become accessible across web and mobile, allowing long-running tasks to continue without an open computer. Beta access began rolling out to Max users, with additional plans to follow.

Claude Code can now pull up docs, designs, and websites. It can read, click through, and interact with these sites the same way it does with local dev servers. The in-app browser is sandboxed and configurable. Users can choose whether sessions persist. A video demonstration is available in the post.

Running email inside Claude replaces fragmented workflows with a single system that connects your ESP via API, analyzes performance, generates campaigns, and improves over time. The setup uses Claude with API connectors, claude.md for brand context, custom email skills, scheduled audits, and Claude Design for templates. Data flows into live dashboards built with Claude Code widgets, while competitor emails are tracked via Gmail connectors and ReallyGoodEmails scraping. All tests and learnings are stored in a shared GitHub repo, creating a continuous loop where campaigns and iterations compound automatically.

Meta introduced Muse Spark 1.1 with improved tool use, coding, computer interaction, and multimodal reasoning. The company also opened a public preview of its Meta Model API for developers.

Agents are writing code faster than any human can review. Humans being involved in every code review is a bottleneck. Put humans outside of the code review loop by building a pipeline that delegates tasks to agents. This post looks at power workflow changes that PostHog uses to make reviewing AI-generated code fast without losing quality.

Recent experiences with locally run models for agentic coding reveal both challenges and successes, particularly influenced by task complexity and the machines used. The evaluations show that while these models can handle straightforward coding tasks effectively, their performance varies a lot.

Fortress is a stealth Chromium engine designed to prevent scrapers and browser agents from being blocked by correcting the browser fingerprint within the engine itself, making sure that it appears as a standard Chrome installation. By modifying over thirty surfaces that bot detectors monitor, Fortress allows automation tools like Playwright and Puppeteer to operate without changes to existing code.

Thinking Machines believes the future should be shaped by human knowledge, guided by human will, and decided by human judgment.

This is a guide on coding with LLMs, such as generating code based on context and prompting correctly. It also goes over best practices, including constraining agents, utilizing strongly typed languages, and the necessity of writing tests by developers rather than relying on agents.

Context switching is becoming one of the biggest drivers of bad AI-driven customer experience. An airport restaurant's QR ordering system asked a customer to switch WiFi networks, create an account, and check topping boxes before a frustrated server stepped in and took the order in under a minute. People still prefer human support to AI overall, though that gap narrows in lower-risk categories like retail and travel where AI already outperforms. The fix isn't more automation, it's building AI that's judged by the same speed and ease standard as the human it replaces.

A recent report from Cursor shows large disparities in coding productivity among its users, with top 1% power users generating up to 40,000 lines of code per week, compared to the median user's 700 lines. The study also shows that input tokens make up about 90% of AI token usage during coding, suggesting that developers spend more time reading and understanding existing code than writing new code.

SpaceXAI has released Grok 4.5, a workhorse that can tackle all of the typical tasks that the AI industry has sought to automate. The model reportedly has twice the token efficiency of other leading models, which could be a big advantage for SpaceXAI as the cost of tokens has become a growing concern for AI consumers. The new model costs $2 per million input tokens and $6 per million output tokens. Benchmark results from SpaceXAI are available in the article.

AI has made the process of updating and creating mathematical applets much faster, allowing for the successful migration of older Java applets to JavaScript with minimal bugs. Additionally, AI tools have made the creation of new visualization apps, including those for complex concepts like special relativity.

Agents can write code, but someone must be able to explain exactly what changed, why it was safe, and what will happen if they're wrong, otherwise, their actions can't be justified. Engineers need to own the outer loop and be accountable for systems. Humans are still required in the constraints loop, the sampling loop, the audit loop, and the ownership loop. The scarce resource is human judgment informed by quality signals like logs or tests.

Entire is a new Git hosting network that meets the needs of AI agents and those minding them.

Agents need a memory system built for how they actually read, write, and coordinate.

Tech workers are either amplified by AI or shaken by it. The divide is shaping their feeling about work more than any title, tenure, or company. Burnout is surging, and optimism is fading. While productivity is up, the quality is questionable. Many tech workers believe the tech industry is in a state of chaos.

Postgres outages are common due to issues like vacuum processes, transaction ID wraparound, connection limits, bad query plans, and challenges with JSON data storage. These problems get worse in environments without dedicated database personnel, leading to downtime. A new project called pgrust tries to address these issues through architectural improvements such as 64-bit transaction IDs, a threaded model instead of processes, an adaptive query planner, and enhanced statistics and compression for JSON data.

A class at Brown University was giving take-home exams, and the professor suspected students were using AI to complete them. After the professor announced that the final exam would be in person, 18 students dropped the course, and nine others didn't attend the final exam. Of those 27 students, 22 had scored perfectly on the midterm exam. The average test score plunged from 96 to 48 for those who took the test.

The current market dynamics point to a future in which frontier models move towards becoming commodity infrastructure.

Bun was initially developed as a port of esbuild's transpiler from Go to Zig, with a broad scope including transpilation, package management, and HTTP client capabilities. Following its acquisition by Anthropic and to address stability issues linked to Zig's manual memory management, Bun has been rewritten in Rust, using Rust's safety features like automatic memory cleanup to improve stability and reduce bugs.

Klarna applied to create an FDIC-insured US bank in Utah, a move that would let the company bring more of its lending, payments, deposits, and merchant services infrastructure in-house. The application reflects a broader fintech shift toward owning bank charters, as firms like Klarna and Mercury seek lower funding costs, less reliance on partner banks, and more control over customer financial products.

Anthropic has appointed former Federal Reserve Chair Ben Bernanke to its independent Long-Term Benefit Trust, adding one of the world's leading economists to the governance body that advises the company and appoints its board members. The move signals that AI leaders are increasingly treating economic oversight and long-term societal impact as strategic priorities, particularly as Anthropic prepares for a potential IPO. For fintech and financial services, Bernanke's expertise could help shape how one of the industry's most influential AI companies approaches the economic consequences of widespread AI adoption.

Sony is expanding deeper into fintech after receiving conditional approval to establish a US trust bank that would support the issuance and management of dollar-backed stablecoins.

Generative AI is making traditional mortgage underwriting increasingly vulnerable by creating convincing fake payslips, bank statements, and tax records that can pass standard verification checks, prompting Australian banks to investigate billions of dollars in suspected fraudulent loans. The crisis is accelerating a shift away from document-based verification toward direct, consent-based access to trusted government and payroll data, signaling a broader transformation in how lenders assess borrower risk. For fintech and mortgage technology companies, the opportunity is moving beyond better document verification to building infrastructure that verifies financial data directly at the source.

Paradigm raised a $1.2 billion fund to invest beyond crypto into “technical frontier” areas like AI, robotics, drones, and space, with early bets including Zipline and True Anomaly. The firm says it will still back crypto and financial system reinvention, but the fund reflects how leading crypto investors are broadening into AI-native infrastructure and other deep technical markets.

Base shipped Beryl and the B20 Native Token Standard to mainnet this week, and Aerodrome hit #1 in BTC-USD spot volume while capturing over 50% of onchain FX spot volume in Q2. Cloudflare opened an x402 monetization gateway for pages, datasets, APIs, and MCP tools, and Apify added 20,000+ web automation tools for agents via x402, widening the protocol's distribution across web infrastructure. Centrifuge deployed $50M+ in tokenized AAA CLOs on Base as Ethena collateral, and OpenStandard launched Open USD, a stablecoin for the internet economy, on Base. ClawBank's Manfred AI agent registered as the first zero-human US company, running a full agentic banking operation on Base.

Plasma and EtherFi are the top US crypto cards by usability, citing daily spending volume and APY deposits as primary factors, with cashback paid in XPL and ETH respectively. Rankings diverge from the ranked.plus adoption-tier framework, which places Coinbase Card, KAST, RedotPay, and Revolut Crypto in the SS-Tier while putting Plasma in C-Tier and EtherFi in A-Tier. XPlace is an overlooked A-Tier usability pick and Lava has strong BTC yield as a differentiated feature. ranked.plus tracks base and max cashback rates, FX fees, savings APY ranges, and funding methods across roughly 20 cards, giving readers an adoption-based comparison baseline to weigh against personal usability preferences.

AI features gain adoption by delivering immediate value, fitting existing workflows, and making the first successful action easy.

AI products win by turning usage and customer workflows into proprietary knowledge. Simple tools learn faster, but complex enterprise products can become much harder to replace.

Product management judgment comes from experience: preserve key insights, work through the evidence, stay curious when priorities shift, and remain calm during organizational change.

AI makes coding faster, shifting the bottleneck to product discovery and specifications. Turning recorded conversations into human-reviewed specs helps teams build the right products at greater speed.

AI products should show essential outcomes and decisions first, while keeping settings, reasoning, and activity details one click away.

As AI makes intelligence abundant, the ability to embrace mental effort will become increasingly valuable. People and institutions must use AI to strengthen independent thought while cultivating the curiosity, discipline, and ambition needed to pursue difficult work.

Replace estimates with small, outcome-focused investments that grow only when results justify them.

Meta should embrace AI to strengthen what it already does best: connecting, entertaining, and monetizing human attention.

Prioritize work that builds both impact and influence, and decline tasks that advance neither.

Evil Martians built Storybook Workbench, an open-source set of agent skills that audits vibe-coded apps by rendering every component state in Storybook, catching dead code, duplicate design systems, and hidden accessibility bugs no build would flag. On one internal test app, it found 31 dead components and six accessibility bugs in hours rather than the three days manual audits used to take. The toolkit runs via simple /sb commands covering onboarding, orchestration, navigation, and reporting, and outputs structured JSON that teams can feed into Linear tickets, PDF reports, or Figma sync.

Rigid brand guidelines often prioritize visual polish over web usability, quietly hurting conversion through poor contrast, unreadable type, and missing hierarchy. Testing a brand-compliant homepage against a tweaked version through an AI attention tool showed clarity and focus up ~20% and predicted engagement with the main call to action up over 80%. Rather than treating brands as sacred, businesses should test whether their branding actually communicates intended values and works on screen, fixing readability conflicts before considering a full digital-first rebrand.

Figma has acquired the team behind Bud, a vibe-coding and AI agent platform, to strengthen its coding and prototyping capabilities. Both Bud and Orchids will shut down by July 18, requiring users to migrate their projects, following an earlier BBC report that Orchids-built apps were vulnerable to cyberattacks. The deal follows Figma's recent moves toward app-building tools, including Figma Make, integrations with Codex and Claude Code, and its own AI agents.

Design-system maturity is better understood as a balance across six independent dimensions—organizational alignment, team effectiveness, infrastructure, governance, support, and adoption—rather than a linear progression through predefined stages. Assessing these dimensions together provides a clearer picture of a system's strengths, weaknesses, and trade-offs, helping teams identify the most impactful areas for improvement. The assessment process itself is equally valuable, as aligning different stakeholders around the system's current state builds shared understanding, ownership, and long-term support.

While the windowing system introduced in iPadOS 26 is powerful for advanced workflows, it makes simple multitasking more complicated by integrating Split View and Slide Over into the new interface. A better approach would be to offer two multitasking modes: a "Classic" mode with full-screen, Split View, and Slide Over, and a separate "Pro" mode with windowing and optional Stage Manager. This would better accommodate both users who want a traditional tablet experience and those who use the iPad as a laptop replacement.

Typography is one of the most powerful yet overlooked branding tools, influencing how people perceive a brand before they even read its message. The right typeface communicates personality, tone, and values, helping brands appear trustworthy, innovative, luxurious, or approachable depending on their goals. When used consistently across websites, packaging, advertising, and other touchpoints, typography strengthens recognition, builds trust, and becomes a core part of a brand's identity.

Browse 2,000+ AI-readable design systems from leading product websites. Open any style for colors, typography, spacing, components, and a DESIGN.md you can use in Cursor, Claude Code, Codex, v0, or Lovable.

Image accessibility requires more than just an alt attribute—every image needs one, but its value depends on whether the image is decorative or conveys real content. Icons often function as decoration reinforced by nearby text, though standalone icons need accessible names via their surrounding interactive elements. Effective alt text depends on surrounding context rather than pixel description alone, and while automated tools catch missing attributes, only human judgment (aided by AI suggestions) can confirm whether alt text truly communicates an image's purpose.

Character.AI is entering the microdrama market with three AI-produced series spanning romance, horror, and survival, while adding a twist that lets adult users chat and roleplay with the shows' characters. The company plans to use this studio-led experiment to develop creator tools that could eventually let users build and share their own character-driven series. Character.AI is also testing AI-powered audio dramas and fiction tools as it expands further into interactive entertainment.

Apple's iOS 27 beta 3 activates new Siri voice controls that let users adjust the AI assistant's speaking pace and emotional expressivity, previously marked "Coming soon." These sliders, first announced at WWDC 26, build on existing voice and accent options, letting testers hear Siri demo phrases as they customize settings. The update follows ChatGPT's more extensive December 2025 voice-and-tone customization, and arrives alongside minor changes like a refreshed Reminders icon and some reported Siri access issues.

Meta quietly launched Pocket, an app letting users generate small AI-powered interactive apps and games called "gizmos" through prompts, plus a scrollable feed to try others' creations. The app, reusing the Pocket name once tied to Mozilla's shuttered read-it-later service, follows Meta's hiring of engineers from Atma Sciences, makers of a similar app called Gizmo. It extends Zuckerberg's push for AI-driven social experiences alongside Meta's other AI tools (Meta AI, Vibes), with Gizmo itself having reached 635,000 lifetime installs and 98% positive sentiment.

As AI makes design production increasingly commoditized, the true value of designers shifts from creating artifacts to exercising judgment—choosing the right problems, validating ideas with real users, defining quality standards, and evaluating AI-generated outputs. Success now depends on making tacit expertise explicit through clear principles, reusable context, and robust evaluation processes, while keeping humans and user research at the center of decision-making. Rather than replacing craft, AI relocates it from execution to strategy, taste, and accountability, making human judgment the key competitive advantage.

The Spaghetti Table Protocol tests whether multimodal AI systems apply physical grounding when generating images, using a prompt for an impossible dining table with dry spaghetti legs, a concrete slab top, and a water-filled fishbowl. Testing GPT-4o, Gemini 1.5 Pro, and Claude 3.5 Sonnet in February–March produced an aggregate score of 4/30, with Claude notably flagging the physical impossibility in words while still rendering it anyway. The author invites designers to run the same two-prompt test themselves and contribute results to a shared public dataset mapping where current AI architectures lack physical grounding.

Design taste isn't something coding agents have by default — they need it packaged as installable rules, much like the ten markdown-based skills covered here, spanning color science, Swiss grid systems, and brand-specific style generation. Each skill teaches a distinct design language that agents apply automatically once installed in a project. Design knowledge is moving from static references humans read to executable rules agents run directly.

Meta's Superintelligence Labs launched Muse Image, its first AI image model, now powering image tools in the Meta AI app, Instagram, and WhatsApp, with Facebook and Messenger coming soon. The model is "agentic," reasoning through prompts and searching the web before generating, and lets users @ mention Instagram accounts to incorporate their public photos into AI-generated images. Muse Image also enables room redesigns from Marketplace photos, direct drawing edits on images, and powers 30 new AI effects rolling out to Instagram Stories in the US.

Elon Musk has merged xAI with SpaceX under the new SpaceXAI brand, introducing a combined logo that blends visual elements from both companies. While the redesign aims to unify Musk's AI and space ventures, many critics have compared the logo to Reebok's branding and criticized both the name and identity as uninspired.

Meta pulled its Muse Image AI tool from Instagram and WhatsApp just three days after launch, admitting it "missed the mark" on privacy. The feature allowed users to generate images from any public Instagram account by default, prompting swift backlash from SAG-AFTRA, CAA, and actor Hannah Einbinder. Meta Superintelligence Labs' companion tool, Muse Video, remains available despite the shutdown.

Apple is introducing RAW 9 in iOS 27, iPadOS 27, and macOS 27, its biggest upgrade yet to the system-level RAW image processing engine. Powered by on-device machine learning and the Apple Neural Engine, RAW 9 combines demosaicing and noise reduction to deliver sharper details, more accurate colors, and significantly better low-light performance—even when reprocessing older RAW photos from nearly 800 supported camera models.

China has demonstrated its first-ever controlled rocket recovery. The Long March 10B successfully completed its maiden flight, and its first stage was recovered via a sea-based net. There are several other rockets in development in China that could soon achieve reusability. The country has four land-based spaceports and multiple ocean-going launch platforms and is ready to quickly ramp up its launch cadence.

Januscape (CVE-2026-53359) is a use-after-free vulnerability in the shadow MMU of Linux's KVM hypervisor that has existed since 2010. The flaw allows a guest VM to corrupt host kernel memory on both Intel and AMD hosts. The bug stems from KVM matching shadow page table candidates by address alone, ignoring page type. A public PoC reliably panics the host within seconds to minutes, while a more severe path can turn the corrupted write into host code execution, threatening multi-tenant clouds like GCP and AWS that expose nested virtualization, including custom stacks that bypass QEMU entirely. Administrators should apply patches immediately or disable nested virtualization for untrusted guests if patching isn't possible.

Researchers show a proof‑of‑concept attack that turns Claude Code and OpenAI Codex into a path to remote code execution when they review a tampered open‑source library like a modified geopy repo. Prompted security reviews cause the agents to trust a planted security.sh script and a disguised Golang‑based binary, then run it without flagging it as malicious, even under “auto‑mode” and “auto‑review” safety settings. The exploit works across multiple model versions, bypasses configuration‑file defenses, and highlights how prompt‑injected documentation and binaries can quietly compromise host machines during routine vulnerability scanning.

Open-source cloud configuration verifier. Proves your AWS configuration is correct instead of searching for what's wrong. Offline, credential-free.

Danish retailer Miinto reported that an intruder accessed its internal order management system and viewed customer order records, including names, contact details, addresses, and payment method types, but not card or CVV numbers. The company removed the attacker, tightened access controls, notified police and regulators, and warned customers about targeted phishing using stolen data.

Progress Software ordered ShareFile customers to shut down Windows-based Storage Zone Controllers after detecting a credible external threat, cutting affected systems off from the cloud while it works with security teams to investigate. Only on-prem controllers are impacted. Cloud-only accounts remain online. Customers have been told to keep controllers offline, treat exposed servers as possible incidents, preserve logs, and look for unfamiliar .aspx files.

A hacker on PwnForums claims to have stolen 35 GB of Accenture data, including Azure keys, tokens, configuration files, and source code from a private Azure DevOps repository. Accenture says it contained and remediated the incident and reports no impact on operations or service delivery. The exposed material could help attackers map Accenture's environment and plan follow‑on intrusions.

The government agency that collects property taxes in Puerto Rico accidentally exposed the SSNs of 1M people. The Municipal Revenue Collection Center maintains an interactive property map which shows the owner names, lot sizes, tax assessment, and sale price for every registered property on the island. Researchers discovered that while the map itself did not surface additional sensitive information, “anyone who understands how websites request data” could access unprotected personal information, including SSNs.

This playbook details six techniques for abusing Windows services to achieve privilege escalation and persistence, including service creation, binary path modification, permission tampering, malicious driver installation, and recovery function abuse. One notable technique exploits Windows service recovery actions to execute arbitrary commands as SYSTEM without modifying the monitored service binary, making it more difficult to detect. The guide includes Sigma rules and a sample KQL query to detect service creation, registry modifications, and recovery function abuse, and recommends proactively identifying Windows services that can be abused through crash-triggered recovery actions.

Attackers deliver a password-protected PDF impersonating a law firm, chain it through legitimate open redirects on Microsoft and Cacoo.com domains, and route victims through CAPTCHA gates to a landing page that auto-copies a Microsoft OAuth device_code obtained via the legitimate devicecode endpoint. The victim pastes that code into Microsoft's genuine verification_uri, completes real MFA, and the attacker harvests the resulting access_token, refresh_token, and id_token to read mail, exfiltrate OneDrive files, and access Teams, with refresh_token enabling silent long-term persistence. The same technique has since been observed retargeting Brazilian users. Defenders should disable the Device Code Flow via Conditional Access if unused, monitor DeviceCodeSignIn events and enforce device compliance, alert on anomalous sign-in locations, and train users to never approve unsolicited device code prompts, even when the verification page is a genuine login.microsoftonline.com or microsoft.com/devicelogin URL.

A malicious Injective TypeScript SDK release (@injectivelabs/sdk-ts@1.20.21) logs mnemonics and private key material, then sends them via a POST request to an InjectiveLabs infrastructure endpoint, allowing attackers to rebuild wallet keys. The same version was pushed to 17 related packages, so developers must audit dependencies, move funds from affected wallets, and rotate keys and mnemonics.

tempolocus from the AIL Project infers a threat actor's probable location from time-series activity patterns: weekly hourly buckets, yearly daily buckets, or raw timestamp lists such as PE TimeDateStamp values. It ranks timezone offsets and probable countries from quiet-window analysis, matches yearly activity against public-holiday calendars across 80+ regions (including a public-worker profile covering China and Russia government closure patterns), and classifies activity as work-time, vacation-time, or mixed-time. Output is probabilistic JSON, usable via CLI or as a Python library with detect and analyze_activity entry points, licensed AGPL-3.0.

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According to a longtime developer and maintainer of the OpenMandriva project, a Linux distro that is notable for building most of its components with the LLVM/Clang touching, stated that a contributor tried to sabotage portions of the project after a falling out. A contributor with admin privileges deleted part of an OpenMandriva repo that the team had been working on for almost a decade and published an empty package that obsoleted packages for Gnome and Cosmic desktop environments. The contributor denies any wrongdoing.

A crafted GitHub issue in a public repo can drive GitHub's Agentic Workflow to read README files from both public and private repos and post them back as a public comment. The attack relies on prompt injection and a single keyword, “Additionally,” to bypass GitHub's guardrails and leak private repository data.

IBM Bob, an agentic software development platform, is expanding beyond code generation to orchestrate the full software development lifecycle (SDLC). The update adds multi-agent workflows, parallel tool calling, built-in security/governance, and cost/usage analytics, along with specialized packages for Java modernization.

GitHub faced recurring ambiguity about who owns many internal repositories, which complicated security workflows like secret scanning remediation. To fix this, it introduced first-class repository ownership using GitHub custom properties, populated from its Service Catalog where applicable, and then enforced ownership by warning and archiving unowned repositories.

AI makes enterprise security harder not because it creates entirely new threats, but because it accelerates existing organizational and engineering weaknesses. There are three structural problems: companies' “experimentation entitlement,” the asymmetry of failure between product teams and security teams, and how AI acts like a force-multiplier that compounds technical debt.

Google Cloud is bringing Gemini Flash and Gemini Enterprise onto infrastructure physically located in India, letting enterprises keep both data and AI processing in-country. The move reflects the growing importance of AI residency, not just data residency, for regulated industries.