2026-06-26 14:11
Four AI leadersโAWS, Microsoft, Google, and Anthropicโare advancing towards a common architectural shift in agent runtime updates. ๐ค While they agree that the session is the new unit of compute, they differ on how to achieve isolation. Microsoft focuses on per-session isolation, while AWS uses microVMs and Google applies dedicated sandboxes. This evolution highlights the need for session-aware execution in enterprise agents, moving beyond traditional request-level load balancing. ๐ #AI...
Janakiram MSV
2026-06-26 14:00
AI coding tools can accelerate coding but also amplify mistakes across projects. These errors often include subtle misalignments with project needs, leading to bloated or incorrect code that can pass initial checks. Teams typically try to improve AI instructions with files like CLAUDE.md, but this doesn't always ensure mistake detection. An independent verification system is essential for catching these errors effectively. Aviator's approach prioritizes verified intent over traditional code...
Ankit Jain
2026-06-26 00:09
The debate on public cloud vs. on-prem solutions is heating up. As AWS and other cloud services grow, companies are reassessing their cloud strategies due to rising costs. Many now realize that not all workloads are best suited for the cloud. Experts suggest that segmenting workloads and moving some back on-prem can lead to lower costs and better management of high-risk data. For insights on the evolving landscape, check out the latest episode of The New Stack podcast. ๐ปโ๏ธ๐๐ก #CloudComputing...
Alex Wilhelm
2026-06-25 18:11
๐ NVIDIA has achieved a significant milestone in MLPerf Training v6.0, dominating all benchmarks submitted by the MLCommons consortium. The NVIDIA platform excelled with the fastest training times and highest performance across various tests, including new pretraining benchmarks like DeepSeek-V3 and GPT-OSS-20B. With up to 8,192 Blackwell GPUs working together, NVIDIA showcased the power of its GB300 NVL72 system, setting new records for time-to-train in complex workloads. #NVIDIA #MLPerf #AI...
Farshad Ghodsian
2026-06-25 17:47
AI is rapidly generating code, which presents new challenges for developers. A growing number advocate for a shift from code maintenance to spec-driven development. Duลกan Omerฤeviฤ, CEO of Codeplain, emphasizes that specifications should be the focus, allowing for easier updates and regeneration of code rather than maintaining it. Codeplain recently introduced an open-source framework called plain-forge to streamline the development process by automating spec creation. Theyโve also secured...
Paul Sawers
2026-06-25 15:01
๐ SpaceX's acquisition of Anysphere, the parent company of Cursor, for $60B has sparked discussions on AI coding assistants. While AI's role in coding is significant, the real challenge lies in code quality. As AI increases code volume, ensuring its reliability becomes crucial. The future of software engineering will focus on trust in code rather than mere quantity. #AI #SoftwareEngineering #SpaceX #Cursor #CodeQuality
Kerry Beetge
2026-06-25 15:00
AI costs are increasing, but not just due to more expensive models. A major factor is messy context management in enterprises. ๐ค Context accumulation drives costs as agents repeatedly gather information from multiple sources like GitHub and Jira. This results in high token consumption for queries. ๐ To address this, an experiment was conducted to streamline context retrieval by creating a semantic layer that reduces unnecessary data hops. The goal is to lower costs while maintaining...
Zohar Einy
2026-06-24 16:37
Organizations are increasingly leveraging AI for infrastructure management, targeting automation and efficiency. ๐ค However, the effectiveness of these AI agents hinges on the quality of infrastructure data. Inaccurate data can lead to serious issues, such as data exposure and system outages. ๐ Many enterprises struggle with fragmented tools, which create gaps in their infrastructure visibility. A unified model of infrastructure is essential for reliable AI operations. Infrastructure...
Doug Sillars
2026-06-23 20:56
Kubernetes teams rely on automation for deployments but hesitate to automate CPU and memory adjustments. ๐ค A recent survey of 321 practitioners shows that 82% trust automated delivery, yet 71% require human review for resource optimization. The fear stems from the risks involved in altering resource allocations, which can affect application stability. โ๏ธ As AI workloads become more common, the need for efficient resource management grows. The cost of manual oversight is increasing, especially...
Yasmin Rajabi
2026-06-23 17:56
At Microsoftโs Build keynote, CEO Satya Nadella highlighted a shift to agentic AI, showcased by OpenClaw, an open-source project enabling continuous operation of AI agents. OpenClaw connects agents to existing channels, while Hermes Agent focuses on memory for skill enhancement. Both projects aim to refine agent controls, emphasizing different core components. This evolving landscape in AI harness technology is crucial for future developments. ๐ค๐ #AI #OpenSource #TechInnovation #Microsoft...
Janakiram MSV
2026-06-23 17:05
๐ GitLab's recent AI Accountability Report highlights the challenges developers face with AI-generated code. 91% of organizations now use multiple AI coding tools, boosting coding speed. However, 43% struggle to differentiate between AI and human-written code, raising concerns about control over software quality. Manav Khurana emphasizes the shift in the bottleneck from writing to reviewing code, with 85% of respondents noting increased validation workloads. To address these issues, he...
Adrian Bridgwater
2026-06-23 16:30
Coinbase experienced a significant outage on May 7, lasting nearly 10 hours, affecting all core trading services. This incident coincided with a regional AWS outage, raising concerns about Coinbase's reliance on a single AWS availability zone. โ ๏ธ While other companies managed to maintain operations, Coinbase directed customers to AWS status pages for updates. The company later acknowledged its dependency on a single-location matching engine for trading performance. Understanding the...
Gergely Orosz
2026-06-23 16:00
AI is changing the software development landscape, primarily by increasing coding speed. However, this speed comes with challenges in code verification and control. As AI generates code faster, the technical debt landscape is shifting. The costs associated with detecting issues are rising, creating pressure on teams to verify and review AI-generated code. Interestingly, Gartner predicts that architectural debt will make up 80% of technical debt by 2027, highlighting the need for better...
Robert Curlee
2026-06-23 15:00
๐ GitLab's recent survey of over 1,500 developers highlights key insights into AI-assisted software development. ๐ 60% of respondents report that AI coding tools have exceeded their ROI expectations, with 78% seeing faster code writing and committing. However, speed without control can lead to significant issues. ๐ Only 21% experience productivity gains beyond just code generation, indicating a need for better governance. Many organizations adopted AI tools quickly, but 80% say they havenโt...
Manav Khurana
2026-06-23 06:00
Telecom operators are increasingly integrating AI into their network operations, customer care, and back-office processes. However, many are still at the beginning stages of achieving full autonomy. ๐ Currently, automation in network operations mainly falls within Level 2โ3 of TM Forumโs taxonomy, focusing on predefined solutions. To reach Levels 4โ5, telecoms need autonomous agents that can interpret operator intent and make real-time decisions. ๐ค A strong autonomy platform is essential,...
Amogh Dendukuri
2026-06-21 15:00
Nvidia's CEO, Jenson Huang, embraces OpenClaw, reflecting a bold vision for the future of AI. Nader Khalil, Director of Developer Technologies, explains that an "agent" combines a large language model (LLM) and a harness, emphasizing the importance of iterative learning loops. Khalil highlights the evolution of AI tools, praising OpenAI's innovations like memory features in ChatGPT, which enhance user experience. Nvidia is focused on skills development through its CUDA X library to support...
David Eastman
2026-06-21 12:00
๐ Cisco IT has transformed its approach to securing an AI-powered workforce. In just 12 months, they reduced help desk cases by 18% and eliminated over 20 legacy VPNs. This shift to a unified, cloud-native Security Service Edge fabric enhanced security while minimizing complexity. The transition involved dismantling outdated infrastructure and moving towards a Zero Trust architecture to better support a modern workforce. #Cisco #Cybersecurity #AI #CloudComputing #ZeroTrust
Mike Cifelli
2026-06-20 10:30
Losing Fable has sparked conversations about the importance of AI models that users can run themselves. After its launch, Fable was taken offline due to a U.S. government directive, highlighting that access does not equal ownership. This situation reinforces the value of open-weight models like Z.ai's GLM-5.2, which users can download and operate independently. With impressive demo results, GLM-5.2 is gaining attention as a strong alternative, especially for coding tasks. #AI #OpenSource...
Matthew Burns
2026-06-19 17:30
AI is now taking a more prominent role in code review processes, leading to discussions about its effectiveness compared to human reviewers. Avital Tamir from Groundcover highlights that human errors, termed "human slop," occur more frequently than those by AI. This raises questions about the traditional peer review model and its efficiency. Tamir advocates for a shift in how teams approach code reviews, emphasizing that AI can enhance reliability in identifying errors. #AICodeReview...
Adrian Bridgwater
2026-06-18 17:32
๐ Big developments in the AI coding landscape! Cursor has agreed to acquire AI startup Cursor for $60 billion, while unveiling a new Git-compatible platform called Origin at a developer conference. Origin aims to adapt to a future where AI handles most coding tasks. This move highlights growing competition for GitHub, as companies like Graphite are already setting new standards in code review and workflow tools. #AI #Coding #Cursor #GitHub #TechNews
Paul Sawers
2026-06-18 15:00
Cisco is reshaping AI infrastructure, combining advanced networking and security for large-scale deployments. Their collaboration with NVIDIA enables organizations to build integrated environments for AI, ensuring seamless operation from silicon to software. This holistic approach allows enterprises and cloud providers to deploy AI securely and efficiently. Learn more about these innovations! ๐๐๐ค #Cisco #AI #Networking #NVIDIA #CloudComputing
Sai Natarajan
2026-06-18 15:00
Enterprises are facing challenges as inference becomes the main focus of AI. ๐ Data often moves out of secure systems, leading to higher costs and security risks. Research indicates that 95% of organizations aim to build their own AI platforms, yet only 13% have succeeded. Those leading the way prioritize infrastructure strategy over model quality. Successful companies are adopting a sovereign approach, utilizing multiple cloud and on-premises environments tailored to their needs. This shift...
Max Romanenko
2026-06-18 14:00
Postgres has long been recognized as a reliable transactional database. It supports critical operations like customer records and financial transactions. Recent innovations focus on reducing data movement rather than just storage. Organizations face challenges with interoperability as data flows between various systems, creating complexity and potential inconsistencies. As businesses enhance their analytical and AI capabilities, they seek seamless integration with their existing Postgres...
Craig Kerstiens
2026-06-18 13:34
On June 12, the U.S. government ordered Anthropic to suspend their AI models, Fable 5 and Mythos 5, impacting all foreign nationals. Anthropic complied, halting access worldwide. In response, several open-weight coding models emerged as alternatives for enterprises outside the U.S. Notably, Cohere, Moonshot, and Zhipu released new models during this period, providing users with quick options. This situation highlights the importance of having multiple sourcing strategies in AI development, as...
Janakiram MSV
2026-06-17 13:27
Google, Microsoft, and OpenAI have united to establish the Appia Foundation under the Linux Foundation. This initiative aims to create open specifications for AI systems, ensuring they meet trust and compliance standards. With 13 founding members, Appia addresses the need for reliable verification in AI applications. AI currently lacks standardized safety checks, but this foundation seeks to change that. #AItrust #AppiaFoundation #TechCollaboration #LinuxFoundation #Innovation
Paul Sawers
2026-06-17 13:00
๐ Enterprises are investing heavily in AI but often face poor results due to data issues. Clario, a new startup, aims to address this with its innovative platform. ๐ก Co-founders Yousuf Khan and Madhu Vohra highlight that over a third of enterprise data is redundant, obsolete, or trivial, which can hinder AI projects. ๐ Clario connects to existing file systems and identifies problematic data without opening files. It uses a unique workflow to notify users about flagged content, promoting...
Darryl K. Taft
2026-06-17 12:00
๐ Exciting developments in Cisco's Marketing Revenue Operations! In part two of their AI enablement journey, Cisco shares how their playbook is transforming big ideas into tangible results. Key highlights include faster innovation with reduced time-to-market for new solutions and improved customer interactions through AI support. Additionally, they emphasize the importance of trust and security in their processes. Learn how these insights can apply to your own strategies! #AI #Marketing...
Daryl Thomas
2026-06-17 00:00
Understanding customer data is essential for effective engagement. The article discusses the shift from gathering customer intelligence to actively engaging with customers. It emphasizes the importance of using insights to create meaningful interactions. This approach can enhance customer relationships and drive business growth. Explore how leveraging data can transform your customer engagement strategies! ๐๐ค #CustomerEngagement #DataInsights #BusinessGrowth #CustomerExperience #Twilio
Stillman Wong
2026-06-16 20:30
Unlock the potential of transaction data! ๐ณ The article discusses how financial networks capture human behavior through transactions. Traditional methods rely on fixed features, but foundation models offer a new approach by using pre-trained data for better insights. Leading firms like Stripe and Visa are seeing significant results with these transformer-based models, enhancing tasks like fraud detection and credit scoring. NVIDIA provides a developer example to create your own transaction...
Benjamin Wu
2026-06-16 17:30
๐ Exciting advancements in ecological monitoring! A new deep learning framework has been developed to identify fine-scale ecological features like hedgerows and copses, often missed by standard satellite detection. This data can aid in addressing climate and biodiversity crises while ensuring food security. ๐๐ฑ The framework includes a vectorized dataset that helps landowners and conservationists enhance carbon storage and biodiversity through these small but vital features. #EarthAI...
2026-06-16 15:11
๐ NVIDIA has achieved a significant milestone in MLPerf Training v6.0, dominating all benchmarks submitted by the MLCommons consortium. The NVIDIA platform excelled with the fastest training times and highest performance across various tests, including new pretraining benchmarks like DeepSeek-V3 and GPT-OSS-20B. With up to 8,192 Blackwell GPUs working together, NVIDIA showcased the power of its GB300 NVL72 system, setting new records for time-to-train in complex workloads. #NVIDIA #MLPerf #AI...
Farshad Ghodsian
2026-06-16 14:00
The era of siloed data is ending as AI agents evolve. ๐ With 700 million weekly ChatGPT users, agentic AI is becoming more capable in executing tasks and workflows. According to PwC, 79% of executives report AI adoption, with many seeing productivity gains. ๐ However, challenges persist. An MIT study reveals up to 95% failure rates in enterprise AI projects. High costs and lack of quality data are key issues. ๐ For developers, a new eBook offers guidance on connecting AI agents with trusted...
TNS Staff
2026-06-16 07:40
๐ Recorded live at the AI Agent Conference, Ryan interviewed Apollo GraphQL CEO Matt DeBerglis. They explored how enterprises can utilize GraphQL and MCP to enhance data management. ๐ Key points included safeguarding microservices from data exfiltration risks and controlling token expenditure by targeting specific data needs. For more insights, connect with Matt on LinkedIn! #GraphQL #DataManagement #AI #MCP #TechTalks
Phoebe Sajor
2026-06-15 18:24
The Anthropic-Mythos-Fable story has generated significant discussion since last Friday. Hereโs a brief overview of the key events. In early 2023, Anthropic clashed with the Department of Defense over AI model usage limits. This led to concerns about its models being labeled as a supply-chain risk. By April, Anthropic launched Mythos, an AI model that identified cybersecurity vulnerabilities. They initiated Project Glasswing to help tech companies strengthen their software. As of June,...
Alex Wilhelm
2026-06-15 15:22
Choosing the right test automation framework is crucial for your projectโs success. Hereโs a breakdown of three popular options for 2026: **Selenium** is ideal for enterprise-scale needs and supports multiple languages. **Cypress** focuses on enhancing developer workflow with built-in network stubbing. **Playwright** offers scalable, multi-browser automation with advanced features. Understanding their architectures can help you decide which tool fits your needs best. ๐ป๐ง #TestAutomation...
Praveen Kumar Gunasekaran, Syed Ahamed
2026-06-15 13:54
๐ Cisco's latest research highlights a critical gap between AI ambitions and the current state of enterprise networks. AI traffic is projected to triple in the next three years, with Wi-Fi demands at the forefront. As AI integrates into manufacturing and logistics, network performance becomes crucial. With 73% of businesses anticipating network capacity limits soon, it's essential to prioritize spectrum allocation to enhance industrial competitiveness in Europe. #AIStrategy #WiFiCapacity...
Diane Mievis
2026-06-15 13:50
The prompt-to-app process has improved significantly, making it easy to create apps with just a description. Tools like Replit, Lovable, and Base44 are gaining attention for this. However, a key issue arises: these apps run on the builder's cloud, not yours. This matters when transitioning from prototype to production. Without control over the environment, visibility, security, and compliance can suffer. The ability to monitor, test, and meet governance requirements becomes challenging. The...
Oluwadamilola Oshungboye
2026-06-15 13:42
The AI industry is evolving, and new benchmarks are needed to measure the effectiveness of AI models in real-world applications. Recently, the Agentโs Last Exam (ALE) was introduced, evaluating AI performance across 55 occupations and 1,500 tasks. This tool focuses on "economically valuable work," grounded in actual business needs. Dawn Song, leading the research, emphasizes that measuring AI readiness for jobs requires practical, relevant benchmarks rather than abstract scores. #AI...
Adrian Bridgwater
2026-06-15 12:10
The recent intervention by the US government concerning Anthropic's AI models, Fable 5 and Mythos 5, has sparked a significant debate. One side views this as government overreach, while the other sees it as a necessary measure against potential risks. However, the crux of the issue may lie beyond Anthropic itself. As AI systems take on critical roles in various sectors, the focus is shifting from capability to trust. Stakeholders are now asking how to ensure AI's reliability and the origins...
Kerry Beetge
2026-06-15 00:00
Industrial digital twins are evolving beyond just visualization. ๐ญ The focus is shifting to how these systems can connect live machine data, enterprise information, and operational knowledge for practical use. This change is influenced by trends in AI demand and modernization of documentation practices across industries. ๐ The new two-part e-book series highlights the transition from digital twins to Machine Information Systems (MIS), which integrate various operational layers for improved...