Inside OpenAI’s fast-growing Codex: The people building the AI that codes alongside you
OpenAI’s Codex AI coding assistant has seen rapid growth, tripling its active users and expanding usage fivefold since early 2025. This surge follows new model releases and a desktop app launch, among other improvements. Codex is evolving to assist in complex software projects, offering features beyond mere code generation, including collaborative and rational decision-making capabilities.
These 6 quotes from OpenClaw creator Peter Steinberger hint at the future of personal computing
The AI boom has advanced with OpenClaw, an open-source platform allowing users to create autonomous agents capable of tasks like email management and multi-step planning. The platform raised concerns about security and user understanding of AI risks. Creator Peter Steinberger sees potential for new AI interactions and is shifting focus to OpenAI.
OpenAI asks its friends to tell their friends about Frontier
OpenAI seeks to boost its new AI product, Frontier, by partnering with major consulting firms like Accenture and McKinsey. These alliances aim to facilitate global adoption among enterprises by leveraging the consultancies’ expertise in strategy and technology integration. Successful implementation will require addressing security, governance, and performance measurement challenges.
Perplexity announces “Computer,” an AI agent that assigns work to other AI agents
Perplexity has launched “Computer,” a tool for Perplexity Max subscribers that automates task management by coordinating multiple AI agents. Unlike competitors, it uses various models for specific tasks, operating in a controlled cloud environment. This innovation aims to make advanced AI workflows accessible while addressing security concerns seen in previous tools like OpenClaw.
Generative AI vs Agentic AI: Responding to Prompts vs Executing Goals
The article distinguishes between generative AI and agentic AI, highlighting their functions and implications for 2026. Generative AI produces outputs based on prompts, while agentic AI autonomously pursues goals and takes actions. The former remains transactional, while the latter requires careful governance and oversight due to its capability to enact changes without human intervention.
Claude Code Security Causes A SaaS-pocalypse In Cybersecurity
The cybersecurity market faced a significant shift on February 20, 2026, after the launch of Claude Code Security, causing major companies like JFrog and Okta to drop in value. AI-driven tools are reshaping application security by enhancing vulnerability detection while threatening traditional methods. Enterprises must reassess their security strategies amid evolving AI risks.
Agentic AI has a value gap — and the old ROI models won’t close it
AI agents are set to transform enterprises, aiding in coding and workflow orchestration. However, CIOs face challenges in linking these tools effectively while demonstrating their value beyond cost savings. Many AI projects may fail by 2027 due to relying on outdated metrics, necessitating a shift toward strategic business value and governance.
Salary report: IT teams stay positive despite declining salaries, economic headwinds
In a turbulent economic climate marked by layoffs, IT professionals remain optimistic about job stability and growth opportunities despite declining salaries. A survey revealed a median salary drop to $115,000 in 2024, with slight recovery projected for 2025. Most respondents prioritize compensation and seek upskilling, particularly in AI and cybersecurity.
The AI Clarity Gap
Many organizations struggle to scale AI beyond initial pilot projects due to issues with data quality, workflow alignment, and unclear objectives. Leaders can bridge the AI clarity gap by understanding real decision-making processes, specifying goals for AI initiatives, and ensuring data accountability. This clarity transforms AI from isolated experiments into significant organizational impact.
A Step Ahead: Quantum Computing and Data
This article introduces quantum computing’s foundational concepts, contrasting qubits with classical bits, exploring superposition and entanglement, and detailing quantum circuits as data pipelines. Emphasizing potential applications in data and machine learning, it also highlights current hardware limitations and sets the stage for future discussions on quantum-enhanced workflows.
AI disruption and the collapse of certainty
Modern businesses face disruption from AI, rendering traditional planning systems ineffective. Instead of fixed paths, companies should adopt multipath planning, no-regrets moves, and adaptive systems that leverage AI’s real-time insights. Embracing iterative and human-led planning will enhance responsiveness, allowing organizations to thrive amidst change rather than cling to outdated models.
Building a Growth Engine for B2B Tech Start-Ups
B2B tech start-ups often struggle to convert interest into revenue due to three key traps: product obsession, execution misalignment, and the proof-of-concept plateau. Founders must adopt a structured growth framework that integrates their technological strengths, market strategies, and operational capabilities to achieve sustainable commercial success and overcome these challenges.
Where CISOs need to hire and develop cybersecurity talent
The cybersecurity industry faces a growing threat landscape, with AI-driven attacks rising as organizations tighten budgets. There is a critical talent gap, complicating the hiring of cross-functional cybersecurity experts. Employers need to adapt hiring strategies, focusing on problem-solving skills and investing in talent development to meet evolving demands.
IT Leader’s Fast-5: Ron Guerrier, Save the Children US
Ron Guerrier, CTO of Save the Children US, emphasizes the critical role of disciplined data governance in global organizations, especially for AI implementation. He advocates for comprehensive AI training for all employees and highlights the complexities of varying international data sovereignty laws. His insights reflect a strong belief in leveraging AI to promote digital equity…
Are We in an AI Bubble?
INSEAD faculty discuss concerns over a potential AI bubble, comparing current trends to the dotcom era. While some similarities exist, such as high valuations and circular financing, current market dynamics feature more profitable companies. The focus on cash flow and earnings highlights a cautious investor sentiment, emphasizing the need for clear returns on AI investments.
Agentic AI Is On The Cusp Of Transforming Financial Services
In 2025, agentic AI became crucial for enterprises, with financial services rapidly adopting capabilities for compliance and precision. Bloomberg’s ASKB exemplifies advanced agentic systems, facilitating human-agent collaboration. However, efficient evaluation methods remain a challenge, requiring hybrid strategies. Successful deployment will depend on robust frameworks and governance practices.
Google DeepMind wants to know if chatbots are just virtue signaling
Google DeepMind emphasizes the need for rigorous evaluation of large language models’ (LLMs) moral behavior as they increasingly serve sensitive roles. Researchers highlight challenges in assessing moral competence, suggesting tests to distinguish genuine reasoning from mere performance. They also note the importance of accommodating diverse values in a global context, underscoring morality’s complexity in AI…
The US Government Tech Market Enters A New Phase Of Change
The US Tech Forecast 2026 projects government technology spending will reach $357 billion, reflecting a 4% increase. As AI becomes central to government tech strategies, agencies face modernization pressures amid legacy systems. An emphasis on integrated capabilities drives investment, while responsible AI practices and transparent governance become crucial for future transformations.
These top 30 AI agents deliver a mix of functions and autonomy
MIT’s CSAIL investigated the impact of autonomous agents on jobs and productivity, analyzing 1,350 data points across various types, including enterprise workflow platforms and chat applications. The study identified 30 agents, highlighting their functionalities, autonomy levels, and shared risks. Notable examples include OpenAI’s ChatGPT and Microsoft 365 Copilot.
AI’s biggest problem isn’t intelligence. It’s implementation
AI Decoded, a Fast Company newsletter, explores the uneven progress of AI in business. Despite billions spent, many companies report negligible impact, while others see positive returns. Adoption challenges arise from organizational culture and existing processes. Meanwhile, concerns about AI’s ethical use in defense highlight tensions between industry and government.
ChatGPT is your iPhone’s secret superpower
AI, particularly OpenAI’s ChatGPT, is increasingly integrated into Apple’s devices, enhancing productivity. Users can utilize various features, including applets for quick tasks, Siri commands, and image generation. Additionally, ChatGPT aids in writing, shopping advice, and understanding device functionality. Upgrading to paid subscriptions expands capabilities and removes limits.
ChatGPT Health: What You’re Meant to Use the AI for, and Everything You Should Avoid
OpenAI’s ChatGPT Health, launched in January 2026, is a dedicated feature for health-related inquiries within ChatGPT, designed to assist users in understanding medical information without replacing professional advice. It utilizes advanced AI models while adhering to stricter information guidelines, aiming to empower users in health discussions, albeit with crucial limitations.
Packaging Expertise: How Claude Skills Turn Judgment into Artifacts
The document discusses the challenges of onboarding new employees, focusing on the difficulty of transferring expertise within organizations. It introduces Claude Skills and the Model Context Protocol (MCP) as solutions to enhance AI’s effectiveness by providing both access to tools and structured training. This dual approach aims to package and scale expertise for better efficiency…
The data behind the design: How Pantone built agentic AI with an AI-ready database
The webinar “Color Meets Code” highlighted Pantone’s use of agentic AI to enhance creativity and design workflows through their Palette Generator. By leveraging Azure Cosmos DB, Pantone streamlined color palette creation, allowing designers to access extensive color expertise in real-time. The system’s feedback mechanism fosters continuous improvement and adaptability in AI applications.
Is an AI subscription worth it? How to choose your premium chatbot plan – and what not to do
A friend seeks advice on selecting AI chatbots after exploring several. The article reviews various chatbots, emphasizing free versions for budget users and recommending upgrades for advanced features. Key options include ChatGPT for versatility, Copilot for Microsoft integration, and Gemini for Google ecosystem benefits. Users should consider their needs before subscribing.
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