Aaron Holmes

PHP creators issued an urgent update Wednesday after researchers using AI discovered a critical flaw in the open source programming language that powers the majority of websites globally. The vulnerability could expose affected sites to hacking. The incident highlights how AI is being deployed to identify security flaws in widely used software infrastructure.

PHP creators issued an urgent update after researchers using AI discovered a critical security flaw in the open source programming language used by the majority of the world's websites. The vulnerability could expose websites to hacking attacks. Web maintainers globally have been urged to install the patch immediately.

Microsoft has withdrawn from a planned U.K. data center that infrastructure provider Nscale was building for it, citing delays in accessing power to bring the facility online. The cancellation comes as Nscale prepares for a public offering this month, and investor concerns about the project's viability are likely to impact the company's IPO prospects.

Microsoft launched a speech-generating AI tool on Thursday that the company claims offers lower costs and higher accuracy than competitors including ElevenLabs, SpaceXAI, and Google. The technology is designed to power features within Microsoft's ecosystem, such as transcription capabilities in Teams. The move represents Microsoft's direct entry into the competitive voice AI market where specialized startups have gained traction.

Inference startups Fal and Fireworks AI are raising new funding rounds as demand for AI model serving accelerates among developers. Fal is in talks with investors about raising capital at a $15 billion valuation, with potential discussions around $17 billion to $20 billion. The funding surge reflects growing commercial traction in the inference services market, where these platforms provide developers fast access to run AI models.

Microsoft is authorizing discounts of 30% to 50% on Copilot AI subscriptions for corporate customers who commit to large seat purchases and usage-based payments. The move signals an aggressive pricing strategy as Microsoft positions Copilot as a foundational enterprise tool. The company is also launching what it describes as an AI 'super app,' though details remain limited.

Microsoft plans to triple Azure's data center capacity to over 38 gigawatts by 2032, up from 12 gigawatts currently. The expansion reflects the company's response to server shortages constraining its cloud operations. The buildout will add approximately 26 gigawatts of new compute capacity over the next six years.

Meta has agreed to an $18 billion settlement with attorneys general from 52 U.S. states and territories to resolve child-harm allegations, pending judge approval. The deal concludes one of the largest regulatory actions against a tech company but legal experts say it will not substantially aid Meta in defending against broader litigation over claims its products harm minors. The settlement may also influence how regulators approach legal accountability for social media platforms and AI services.

Microsoft's Copilot AI features for Office 365 contain security flaws that can leak customer secrets, according to new findings. The vulnerabilities are particularly significant because CEO Satya Nadella has positioned Copilot as safer than competitors like ChatGPT and Claude. The discovery underscores a broader problem: AI vendors selling security tools are themselves vulnerable to breaches.

Microsoft announced it will spend billions on Nvidia GPUs to share with European AI startup Mistral. The investment follows Microsoft's prior commitment to expand data center infrastructure in Europe. The arrangement signals Microsoft's strategy to build AI capabilities across regions while supporting European AI development.

Microsoft is preparing to launch Project Perception, an AI-powered security product designed to identify software bugs, set to debut as soon as July 2026. The tool will combine AI models from Anthropic, OpenAI, and Microsoft to compete in the growing cyber defense market. The product targets enterprises increasing their security spending and represents Microsoft's effort to capitalize on demand for AI-driven vulnerability detection.

Corporate IT budgets are shifting toward AI solutions from new providers like Anthropic, with traditional enterprise software vendors losing ground. Sanofi, a French biopharmaceutical company, is using an in-house AI agent built with Claude and Elementum software to reduce reliance on ServiceNow's IT management platform. This pattern suggests established SaaS providers face pressure as companies redirect spending to AI-native alternatives.

Anthropic is developing a Claude agent for Microsoft Teams, following a similar partnership with Salesforce for Slack. Rather than blocking AI competitors, Salesforce and Microsoft are positioning their messaging platforms as open app stores where customers can integrate third-party AI agents alongside proprietary offerings. The move reflects a strategic shift toward platform openness in enterprise AI.

Google, Microsoft, Salesforce, Snowflake, ServiceNow and others announced support for an AI backend-software protocol on Wednesday. The move signals how established enterprise software providers plan to compete against AI-native startups like Anthropic and OpenAI by leveraging their existing large customer bases. The protocol announcement represents a strategic shift in how incumbent software vendors may defend their market position in the AI era.

Two months after ending its partnership with OpenAI, Microsoft is using its Build developer conference to showcase homegrown AI models designed to compete with offerings from OpenAI and Anthropic. The move signals Microsoft's shift toward AI independence and reduces reliance on external AI providers. The conference will serve as a public debut for Microsoft's internal AI development efforts.

Microsoft will unveil a new coding model and suite of specialized AI models at its Build conference next week, aiming to regain ground in the AI coding assistant market where GitHub Copilot has lost share to competitors like Cursor and Claude Code. The company plans to announce models optimized for transcription, reasoning, speech, and image tasks, building on homegrown models previewed earlier this year. The move signals Microsoft's effort to compete more directly with rivals in the rapidly evolving developer tools space.

Enterprise software customers are gaining negotiating leverage by demanding AI capabilities as contract conditions and shorter agreement terms. Companies like National Life Group have secured opt-out provisions allowing early exit if vendors fail to deliver promised AI features at expected pace. Intuit is shifting to consumption-based pricing for new AI features, joining other enterprise software firms adapting to the high costs of powering AI applications.

Microsoft is leveraging its roughly 100,000 internal software engineers as a source of proprietary training data to revitalize GitHub Copilot's competitive position in AI coding tools. The company plans to use code written by its own developers to train improved coding models, a strategy that reflects broader industry practice among major AI labs. This move comes as GitHub Copilot has lost ground to competitors like Anthropic and Cursor, and signals Microsoft's confidence that internal data assets can help close the gap.

Microsoft executives, including Jay Parikh who oversees GitHub, have privately warned that the code repository and its Copilot AI assistant face a critical competitive threat. While the AI boom initially boosted GitHub's usage and revenue, the service has struggled to keep pace with newer AI coding competitors that have since surpassed it. The division has also been hampered by frequent and major outages that have frustrated large customers and prompted Microsoft to issue public apologies.

Bill Ackman's Pershing Square has built a stake in Microsoft, with Ackman arguing on X that the company's roughly 15% year-to-date stock decline reflects investor underestimation of Office 365's resilience and the growth potential of its Copilot AI offerings. The move signals confidence in Microsoft's ability to monetize its AI investments despite near-term market skepticism. Ackman's position represents a high-profile bet that the market has overshot in pricing out Microsoft's enterprise software moat and emerging AI revenue streams.

Researchers at the U.K.'s AI Security Institute reported Wednesday that Anthropic's latest version of Mythos AI demonstrates significantly improved capability at discovering and exploiting previously unknown software vulnerabilities compared to earlier iterations of the model. The findings highlight a notable capability jump in the model's ability to identify and weaponize zero-day exploits. Anthropic has not yet released Mythos widely to the public, limiting independent verification of the claims. The research underscores growing concerns about the dual-use potential of advanced AI systems in cybersecurity contexts.

Microsoft executive Michael Wetter testified in court that the company will have spent more than $100 billion on commercial agreements with OpenAI by the end of Microsoft's fiscal year in June 2026. This figure includes the $13 billion Microsoft invested directly in OpenAI as well as costs associated with building infrastructure to support the partnership. The disclosure emerged during court testimony and underscores the scale of Microsoft's financial commitment to securing access to OpenAI's technology and capabilities.

OpenAI has renegotiated its revenue-sharing agreement with Microsoft, significantly reducing its financial obligations through 2030. Under the original deal, OpenAI would have owed Microsoft up to $135 billion if it hit long-term revenue targets, with a 20% revenue share. The new undisclosed terms substantially lower this amount, easing pressure on OpenAI's finances as it scales.

Hedge fund TCI Fund Management cut nearly its entire $8 billion stake in Microsoft, citing concerns about the company's competitive position as AI threatens to displace existing software products. CEO Christopher Hohn flagged uncertainty over Microsoft's future in an investor letter, signaling investor worry that the company's traditional software business faces disruption from AI. The move marks a significant vote of no confidence from a major institutional investor and reflects broader market anxiety about how established tech giants will fare in an AI-driven landscape.

Microsoft is scaling back its aggressive Copilot rollout across its product portfolio after customer pushback over unnecessary or intrusive AI features. The company had rapidly deployed Copilot-branded chatbots across Office, Bing, PowerBI, Dynamics, and gaming products following its access deal with OpenAI. This week, newly appointed Xbox CEO Asha Sharma announced the shutdown of Gaming Copilot, signaling a broader retreat from what had become perceived as feature bloat.

The U.S. National Security Agency is using Anthropic's Mythos model to identify security vulnerabilities in Microsoft software, according to Bloomberg reporting. The NSA's cyber intelligence mission centers on discovering and potentially exploiting security flaws in widely deployed computer systems, and Microsoft's dominant market position makes its software a natural focus. This represents a concrete government use case for advanced AI models in vulnerability research and cybersecurity.

Microsoft reported first-quarter revenue growth of 18% to $82.9 billion, up 1 percentage point from the prior quarter, driven by accelerating growth in Azure cloud and Office 365 commercial businesses. Office 365 Copilot sales rose 33%, indicating strong enterprise adoption of the company's AI-integrated productivity tools. The acceleration signals sustained demand for both cloud infrastructure and AI-enhanced software, though the article provides limited detail on the drivers beyond general demand attribution.

Microsoft and OpenAI have amended their commercial arrangement to allow OpenAI to sell its models through competing cloud providers, ending Microsoft's exclusive distribution rights. The companies also removed a contentious revenue-sharing clause that would have given Microsoft a cut of OpenAI's earnings and certain governance rights. The shift signals a recalibration of one of AI's most closely watched partnerships and reflects OpenAI's push for broader market access.

Enterprise software companies are abandoning flat per-user subscription fees in favor of usage-based pricing tied to AI consumption. By end of 2025, 79 of the 500 largest software firms tracked by analyst Kyle Poyar, including HubSpot, Adobe, and Salesforce, had implemented additional charges based on AI usage, more than doubling the count from 2024. This shift reflects how AI capabilities are disrupting traditional seat-based licensing models that no longer capture the value these tools generate.

Cohere, a Canadian AI lab, is acquiring German AI firm Aleph Alpha for an undisclosed price. Schwarz Group, a major backer of Aleph Alpha, will simultaneously invest $600 million in Cohere's Series E funding round. The deal consolidates European AI talent and resources under Cohere's umbrella while securing significant capital from a German industrial conglomerate.

Microsoft's GitHub is restricting usage of its Copilot AI coding tool and pausing new individual account sign-ups due to surging demand that has caused platform outages. The company is lowering usage caps for all but its most expensive tier, effectively implementing a soft paywall to manage traffic. This move reflects the strain that rapid AI adoption is placing on infrastructure and signals that GitHub is prioritizing revenue and stability over user growth.

Microsoft's enterprise AI push has struggled with low adoption of 365 Copilot, which reached only 3% of Office 365 users by year-end 2025. However, a lesser-known AI agent product launched by LinkedIn in fall 2024 has unexpectedly gained significant traction, drawing attention from leadership across Microsoft's broader organization. The success suggests that niche, specialized AI tools may find faster market acceptance than broad productivity integrations.