The five largest U.S. tech companies—Alphabet, Amazon, Meta, Microsoft, and Oracle—have doubled their debt to $350 billion over five years to fund AI data centers. While investors have been supportive, Amazon's recent $25 billion bond issuance received a cool reception, signaling limits to market appetite. Oracle was downgraded by S&P due to rising AI spending, and Intel's debt woes serve as a cautionary tale. Hyperscalers plan to spend up to $725 billion this year, primarily on data centers and Nvidia chips.
Big Tech debt has doubled in five years, adding $350 billion
Amazon's $25 billion bond sale met with investor caution
Go has become the lingua franca for cloud infrastructure. Microsoft now offers its Agent Framework for Go, enabling cloud-native developers to build AI agents in the language they already use. Google already supports Go, while OpenAI and Anthropic do not yet.
Microsoft releases Go SDK for Agent Framework in public preview.
Go is the language behind Kubernetes, Docker, and many cloud tools.
How migrating Copilot code review to shared Unix-style code exploration tools reduced review cost by reshaping agent workflows around pull request evidence.
The post Better tools made Copilot code review worse. Here’s how we actually improved it. appeared first on The GitHub Blog.
Migrating to shared Unix tools initially increased review cost and reduced effectiveness.
The problem was not the tools but the instructions, which caused the agent to browse broadly instead of focusing on the diff.
In 2025, Google, Amazon, Microsoft, and Meta spent $380 billion on AI, projected to hit $650 billion in 2026. Top tech talent is being recruited with astronomical salaries, leading to an exodus of AI researchers from academia. Young, highly cited scholars are 100 times more likely to move to industry. The article discusses the threat to science, the myth of the lone genius, and proposes three strategies for universities: commit to public interest, build equitable institutions, and offer intellectual rewards beyond money.
Tech firms spent $380B on AI in 2025, expected to reach $650B in 2026, with huge sums on talent. Meta offered $250M to one researcher.
Young, highly cited AI researchers are 100 times more likely to leave academia than their older, average-cited peers.
Microsoft is accelerating AI-driven vulnerability detection in Windows. Its new pipeline found 16 vulnerabilities in May, with more fixes expected per update. Enterprise admins need to adapt to faster patching cycles with tools like KIR and hotpatch.
Microsoft's new AI pipeline MDASH discovered 16 vulnerabilities, including 4 critical, in its first month.
AI will be integrated earlier in development, but human oversight remains crucial.
Windows 11 updates could soon include fixes for more security issues at once. Microsoft said in a blog post on Thursday that it's now using AI to “identify potential issues earlier,” which means “customers will see a higher volume of security updates included in each security release.”
Microsoft uses AI to identify security issues earlier, resulting in more fixes per Patch Tuesday.
Both hackers and researchers are leveraging AI to find and exploit vulnerabilities faster, leading to more high-severity vulnerabilities.
Aurora 1.5 adds 22 more variables, hourly temporal resolution, and probabilistic ensemble forecasting to the Aurora foundation model, making it more useful for real-world weather, climate, and energy applications. Released as open source, it enables researchers and developers to use, evaluate, and build on the model.
Aurora 1.5 adds 22 new weather variables relevant to energy, agriculture, transport, and climate risk.
Hourly temporal resolution enables fine-grained forecasts for precision operational guidance.
OpenClaw has grown from a weekend project into a global movement, with 4.5 million new claws born every week and the fastest-growing repository in GitHub history. Today, it announces the formation of a non-profit foundation to steward the project as open and independent. The foundation will provide governance, stable funding, and a full-time team. Partnerships with OpenAI, NVIDIA, Microsoft, and the University of Michigan aim to advance personal AI agents.
OpenClaw evolves from a personal project to a global open-source movement with millions of weekly users.
A new 501(c)(3) non-profit foundation ensures long-term openness and independence.
Learn how GPT-5.6 powers Microsoft 365 Copilot with stronger AI capabilities across Word, Excel, PowerPoint, Chat, and Cowork for faster, higher-quality work.
GPT-5.6 is now the preferred model for Microsoft 365 Copilot
Enhanced AI performance in Word, Excel, PowerPoint, Chat, and Cowork
Learn how to go from an empty repository to a live custom domain with HTTPS in about 14 minutes, without manually editing a single DNS record, using GitHub Copilot CLI and a Namecheap skill.
Publish a site with GitHub Pages
Register an inexpensive domain and enable registrar API
Flint is an open-source visualization intermediate language from Microsoft Research, designed to help AI agents create expressive, polished charts from compact, human-editable specifications. It handles low-level design details automatically via semantic types, supports multiple rendering backends, and powers the Data Formulator project.
Flint enables AI agents to generate high-quality charts from simple specs.
Semantic types guide the compiler to choose scales, baselines, formatting, and colors.
ScreenNote is a Windows app from Microsoft Store that lets you capture screen snippets and instantly turn them into notes compatible with AI tools, streamlining research and documentation.
Capture any screen area and convert to AI-readable text.
Schneider Electric built enterprise LLMOps foundations with LangSmith to improve observability, evaluation, and deployment for AI products at scale. Their AI Hub of 350 experts deployed 60+ agents. The three pillars: self-hosted LangSmith for observability, offline/online evaluation with maturity framework, and per-product deployment. Case studies include internal AI assistant One Jo, CSM Copilot, and document processing agent, showing significant efficiency gains.
Schneider Electric has over 60 AI products built on the LangChain ecosystem
Self-hosted LangSmith ensures data privacy and compliance
Leaked documents reveal Microsoft's Project Aion, a functional prototype of a Copilot OS built on Edge, running on Windows or Android. It features a Copilot-centric interface with web app support and agentic AI capabilities. Its future is uncertain.
Aion is a UI shell built from a modified Edge browser, running on Windows 11 or Android.
It integrates Copilot deeply, with a Copilot Start menu and omnibox for tasks.
Microsoft said Monday it was eliminating about 4,800 jobs – roughly 2% of its global workforce – in a cost-cutting move that will deliver a sweeping restructuring of its struggling Xbox gaming division. The cuts include the deepest overhaul in Xbox’s history, with approximately 3,200 gaming jobs to be shed over the coming fiscal year, four game studios being spun off or sold, and a fifth entering a review process that could lead to closure.
Microsoft eliminates 4,800 jobs, approximately 2% of its global workforce
Xbox gaming division undergoes its deepest overhaul, with 3,200 gaming jobs cut
A year after cutting around 9,100 employees, Microsoft is making further layoffs today as it begins its new financial year. The software maker is laying off around 4,800 employees today, approximately 2.1 percent of its workforce. Most of the employees affected by today’s cuts are in Microsoft’s commercial sales business or the company’s Xbox division.
Microsoft lays off 4,800 employees (2.1% of workforce), mainly in commercial sales and Xbox.
Company says cuts due to tech industry changes and AI, but roles are not replaced by AI.
The article distinguishes AI-assisted development (tools like Copilot) from AI-native development, emphasizing that the latter restructures the entire delivery process with persistent system models, governance, and traceability, using Brunelly as an example.
AI-assisted tools enhance individual productivity within existing processes, while AI-native development replaces the process itself.
AI-native development requires AI to understand the entire system—requirements, architecture, constraints—not just a single file.
The tech industry faces a paradoxical crisis: companies shedding human jobs to invest in AI tools that currently cost more than the workers they replace. Major players like Uber and Microsoft report exorbitant AI spending, budgets exhausted rapidly, and little correlation to tangible value. This "tokenmaxxing" culture, where AI usage is incentivized over actual productivity, fuels massive waste. Despite widespread layoffs justified by AI reallocation, studies indicate AI is economically viable in only a fraction of roles. The unsustainable model of subsidized AI pricing is unwinding, forcing a market correction. The industry must shift from indiscriminate spending to architecting efficient, AI-native solutions that prove their worth, or risk a significant bubble burst.
AI spending exceeds cost of replaced labor; companies like Uber and Microsoft exhaust budgets rapidly.
Studies show AI economically viable in only 23% of roles; most tasks remain cheaper with humans.
Microsoft’s pricing update for Microsoft 365 business suites took effect July 1, 2026, with some SKUs seeing increases up to 43%. The changes affect Business, Enterprise, Frontline, and Government plans, while consumer and education pricing remain unchanged. Microsoft attributes the hikes to continued investments in AI, security, and IT management, bundling new features like Defender for Office 365 and Security Copilot to offset the impact.
Microsoft 365 business pricing update effective July 1, 2026, with up to 43% increase on some plans.
Microsoft cites AI, security, and IT management innovations as justification.
Tech companies cite AI-driven demand for memory chips as a key factor behind rising prices for older devices and consoles. Apple and Microsoft have implemented multiple price hikes, drawing consumer and investor backlash. Analysts expect supply constraints to persist for up to two years.
Apple and Microsoft have raised prices on older devices and consoles due to rising memory chip costs linked to AI demand.
Memory chip prices have surged, with some components doubling between late 2025 and early 2026.
A leaked video reveals Microsoft's exploration of a dedicated AI OS, codenamed Aion, built on Microsoft Edge and a lightweight Windows codebase called Win3. Centered around Copilot and web technologies, it lacks native Win32 app support but uses Cloud PC for desktop apps. Features include 'Spaces' for grouping apps/sites. While possibly just an experiment, its lessons may influence Windows 11.
Leaked video shows Microsoft's Aion OS, built on Copilot and web technologies.
Uses lightweight Win3 codebase; no native Win32 support; relies on Cloud PC for desktop apps.
ProxyBoy is a Windows-native MITM HTTP/HTTPS proxy with an AI assistant powered by GitHub Copilot. It captures, inspects, and modifies network traffic, offering features like GraphQL awareness, protobuf decoding, network throttling, breakpoint rules, and more. Inspired by Proxyman, it's an experimental open-source tool.
Windows-native HTTP/HTTPS debugging proxy with AI assistant
Features include traffic capture, GraphQL awareness, protobuf decoding, network throttling, and breakpoint rules
Data center builder Crusoe Inc. is reportedly in talks to raise a $3 billion funding round, which could value the company at $30 billion—about three times its valuation last year. The company builds data centers for tech giants including Microsoft, Oracle, OpenAI, and Meta, with a flagship 1.2-gigawatt cluster for OpenAI in Abilene, Texas. Crusoe uses prefabricated modules for construction and also operates its own AI-optimized public cloud.
Crusoe is in talks to raise $3B at a $30B valuation, tripling its valuation from last year.
Customers include Microsoft, Oracle, OpenAI, and Meta.
OpenAI reportedly has floated giving the U.S. government a 5% stake in the company, perhaps the start of a series of such stakes in other AI companies as well. Anthropic models got out of jail as the Trump administration lifted controls on two of its most powerful AI models, but with potentially onerous restrictions. Meta may finally offer cloud services, but agentic AI progress is slower than hoped. AI chip investments surge, with Etched raising $800M and South Korea launching a $584B chip initiative. AWS and Microsoft form professional services teams to accelerate enterprise AI adoption. Experts highlight Enterprise AGI as the real prize.
OpenAI reportedly offers U.S. government 5% stake, sparking debate on industrial policy.
Anthropic's top AI models freed from export controls, but with heavy restrictions.
Vox is an open-source CLI extension that lets you talk to GitHub Copilot out loud, using voice commands to interact with the AI agent hands-free. It works on Windows, macOS, and Linux.
Open-source CLI extension for GitHub Copilot with voice input/output.
Uses Web Speech APIs, no build step, installs in one line.
Alibaba's Page Agent is a client-side JavaScript library that runs inside a webpage, reading the live DOM as text to understand the page and execute natural language commands without screenshots or multimodal models. Open-sourced under MIT, it uses DOM dehydration to compress the page structure, reducing cost. Best suited for copilots and form filling within apps you control, but limited to single-page interactions and sensitive actions still require server-side validation.
Page Agent runs inside the page as JavaScript, reading the live DOM as text, not screenshots.
DOM dehydration compresses the page into a FlatDomTree so smaller text models can act precisely.
Microsoft announced a new operating business called Microsoft Frontier Company, focused on enterprise AI deployments, backed by $2.5 billion and 6,000 experts.
Microsoft launches Microsoft Frontier for enterprise AI deployment.
$2.5 billion investment and 6,000 experts committed.
Microsoft is investing $2.5 billion into a new group called Microsoft Frontier Co., assigning 6,000 employees to work directly with clients on AI deployments. This follows similar moves by Amazon, Anthropic, and OpenAI. The company's stock has dropped 21% this year amid concerns over AI's impact on software businesses.
Microsoft invests $2.5 billion and assigns 6,000 employees to a new AI implementation unit, Microsoft Frontier Co.
The unit uses a forward deployed engineering model, embedding staff with clients.
Meta's stock closed up nearly 9% after news that the company is building a new cloud business to sell excess AI computing capacity, potentially recouping some of its massive infrastructure spending. The company plans up to $145 billion in capex this year. The move faces stiff competition from Amazon, Microsoft, Google, and CoreWeave.
Meta's stock jumped 9% on news of a cloud business to sell excess AI compute.
Meta will sell excess computing power to external customers, potentially recouping infrastructure costs.
Learn why coding agent bills spiral out of control — and how to trace, compare, and govern spend across Claude Code, Cursor, Copilot, and more in one place.
Coding agent usage exploded in early 2026, leading to skyrocketing bills with no unified cost visibility.
Fragmentation across tools (Claude Code, Cursor, Copilot) makes it impossible to compare spend without a common tracking model.
A comprehensive overview of 10 agentic AI frameworks in 2026, including LangGraph, CrewAI, OpenAI Agents SDK, Google ADK, PydanticAI, smolagents, Mastra, Microsoft Agent Framework, Strands Agents, and LlamaIndex Workflows, highlighting their strengths, best use cases, and trade-offs for developers.
LangGraph focuses on state machine control, ideal for complex, long-running agents with human-in-the-loop.
CrewAI offers a role-based multi-agent mental model, great for fast prototypes and collaboration.
Companies like Meta and Microsoft use AI token leaderboards to track employee AI usage. The article explores the 'Claudeonomics' system, tokenmaxxing culture, pros and cons, and implementation tips.
Anthropic is redeploying Claude Fable 5 on July 1 after US export controls were lifted. A new safety classifier blocks the technique in the Amazon report over 99% of the time, routing flagged requests to Opus 4.8. The company also proposed a four-criteria jailbreak severity framework with Amazon, Microsoft, and Google.
After US export controls lifted, Anthropic redeploys Claude Fable 5 on July 1
New safety classifier blocks over 99% of the specific bypass technique
Anthropic has launched Claude Sonnet 5 and restored access to its Fable and Mythos frontier models after an 18-day pause due to a federal export control review. The pause followed Amazon researchers' discovery of a method to bypass safety controls in Fable 5. A new automated classifier now blocks the exploit with over 99% success, though it increases false positives. Sonnet 5 shows strong benchmark performance and real-world effectiveness across Rakuten, Zapier, Zed, and Factory. Security audits reveal no increased risk, and the model failed to generate working exploits in tests. Anthropic partnered with Amazon, Microsoft, and Google to establish a common security breach framework.
Anthropic releases Claude Sonnet 5 and restores Fable 5 and Mythos 5 after an 18-day export control pause.
New safety classifier blocks the Amazon-reported vulnerability with >99% success, but increases benign request flagging.
This article introduces agentic data engineering, a practice where autonomous AI agents design, build, and maintain data pipelines from natural-language intent, contrasting it with traditional automation and copilots. It emphasizes the critical role of the 'harness'—a software layer providing grounding, validation, and controls—in making agents safe for production. The piece covers trust challenges, governance, the evolving role of data engineers, and the tools powering this shift.
Agentic data engineering uses autonomous agents that plan and execute multi-step data tasks with limited human oversight, unlike fixed automation or AI copilots.
The main bottleneck is not the model but the 'harness': the layer of data lineage, semantics, validation loops, and audit trails that ensures correctness.
AI agents often fail because their instructions, or skills, are manually modified with no guarantee of improvement. SkillOpt turns skill editing into a training process, making agent behavior more reliable without changing model weights. Across 52 evaluation cells, SkillOpt achieves best or tied-best results, and the optimized skills remain compact, auditable, and transferable.
SkillOpt treats skill file as trainable parameters outside frozen target model, using an optimization loop to improve performance.
Best or tied-best across all 52 evaluation cells spanning six benchmarks, seven models, and three execution modes.
This post walks through how AG-UI integrates into the Fullstack AgentCore Solution Template (FAST) to build interactive agent frontends on Amazon Bedrock AgentCore. We then show how CopilotKit extends this with generative UI, shared state, and human-in-the-loop interactions, all deployed on Amazon Bedrock AgentCore.
AG-UI is an open protocol standardizing dynamic event communication between agent backends and frontends.
FAST provides two AG-UI agent patterns (agui-strands-agent and agui-langgraph-agent) sharing a single frontend parser.
Tokenmaxxing—burning tokens to fake productivity—is dying as individuals and companies wake up to AI costs. GitHub Copilot's shift to credit-based billing, along with reasoning models and agents, has drastically increased token consumption. AI providers are moving from growth-at-all-costs to profitability, leading to price hikes. Token optimization and accountability are now the norm.
Tokenmaxxing is fading due to cost transparency
Reasoning models and AI agents have multiplied token usage
Microsoft introduces a lobby-based bot vetting system for Teams, requiring human approval for bots to join meetings, addressing security and privacy concerns. A registration path for legitimate ISV bots is also planned.
Microsoft adds a 'bouncer' to Teams meetings, requiring humans to verify bot identities in the lobby.
Unwanted bot attendance in sensitive meetings poses security and privacy risks.
Snap to AI is a tiny macOS utility that captures any part of your screen and sends it to your AI in one keystroke. Works with Claude, ChatGPT, Gemini, Perplexity, Copilot. Free trial for 7 days, then $9 one-time purchase.
One-keystroke screenshot capture and send to multiple AI tools
Auto-detects AI apps and works in native apps, browsers, and terminals
AI agents suffer from statelessness, requiring constant context reloading. Memora introduces a scalable memory system decoupling storage from retrieval, achieving state-of-the-art on long-context benchmarks while using up to 98% fewer tokens.
Memora decouples memory content from retrieval, balancing abstraction and specificity.
It achieves 86.3% accuracy on LoCoMo and 87.4% on LongMemEval.
JetBrains announced it is sunsetting Kotlin Notebook due to low adoption, citing AI tools as a key factor changing developer workflows. The move mirrors Microsoft's earlier deprecation of Polyglot Notebooks. Meanwhile, Jupyter Notebook usage continues to grow, especially in AI projects.
JetBrains will unbundle the Kotlin Notebook plugin from IntelliJ IDEA 2026.2 and open-source it, with no support beyond 2026.3.
JetBrains noted that AI tools have shifted how developers explore and prototype, reducing notebook relevance.
Anthropic’s Claude models in Microsoft Foundry — hosted on Microsoft Azure and running on NVIDIA GB300 Blackwell Ultra GPUs — are now generally available, giving Azure-native enterprises a powerful new way to build autonomous and domain-specific AI agents.
Anthropic Claude models are now generally available on Azure via Microsoft Foundry with NVIDIA GB300 GPU acceleration.
The integration enables enterprises to build more powerful agentic AI systems with autonomous sub-agents for advanced tasks.
U.S. developers and small companies are turning to Chinese AI models to cut costs. Though lagging in performance, these models handle most tasks at a fraction of the price. Microsoft is also exploring DeepSeek as a cheaper alternative for Copilot. Chinese companies face challenges turning popularity into revenue under political scrutiny.
Stu Clott uses DeepSeek for coding, costing under 50 cents vs. $10 on Claude.
Chinese models lower costs due to cheaper salaries and infrastructure in China.
This article compares the AI features of Chrome, Edge, and Firefox. Chrome uses Gemini for search and summaries, Edge integrates Copilot for questions about websites and PDFs, and Firefox offers multiple AI chatbots with stronger privacy controls. The author finds Edge's AI experience best but still uses Firefox for privacy. Key takeaways include checking AI responses for accuracy and privacy.
Chrome's Gemini helps with searches, summaries, and saved prompts.
Edge's Copilot can answer questions about the current page, PDFs, and all open tabs.
GitHub Copilot is an AI pair programmer that helps developers write better code by suggesting whole lines or entire functions from context. It is powered by OpenAI Codex.
GitHub Copilot was announced on June 29, 2021 as a technical preview.
It is powered by OpenAI Codex, which is more capable than GPT-3 in code generation.