The surge in smartphone app releases is driven by the use of 'vibe coding' and AI technology, leading to a significant increase in the number of games hitting the market.
Cybercrime has shifted focus from targeting individual devices to stealing credentials and personal data for identity theft. In 2024, consumer losses due to fraud reached billion, a 25% increase from the previous year, with over a million identity theft reports filed. Stolen passwords and session cookies are central to most breaches, making credential theft the primary enabler of attacks. Password reuse is a significant vulnerability, with 65% of individuals reusing passwords, leading to increased risk of account takeovers through credential stuffing. Bitdefender offers features like Scam Protection Pro, which protects against fraud across email, chat, and SMS, and identity monitoring in Ultimate Security that alerts users to data leaks in real-time. In 2025, researchers identified approximately 2 billion unique leaked credentials, emphasizing the need for identity protection alongside traditional antivirus solutions.
Sixteen years ago, the author began their PhD at UC Berkeley and was advised to focus on analytics rather than OLTP databases, which were considered solved. This led to the creation of Apache Spark and Databricks. However, during the development of Databricks, it was found that OLTP databases were not solved problems; they were difficult to scale and fragile. This realization led to the development of Lakebase, a serverless Postgres database designed with modern technology.
Lakebase architecture separates the write-ahead log (WAL) and data files into independent, scalable services. The WAL is externalized to a service called SafeKeeper, which uses Paxos-based replication for durability, while data files are managed by PageServer, which stores them in cloud object storage. This design addresses challenges such as data loss, scaling, and performance interference between transactional and analytical workloads.
Lakebase maintains compatibility with Postgres, offers unlimited storage, serverless compute, durable writes, and simpler high availability. It also introduces LTAP (Lake Transactional/Analytical Processing), which allows both transactional and analytical processing to operate on a single data copy in real time, eliminating the need for separate data copies and reducing costs.
LTAP utilizes a unified storage layer that allows data to be materialized in both row and columnar formats, optimizing it for both transactional and analytical workloads. The system ensures that analytics can access the most current data without affecting transactional performance by using a log sequence number (LSN) to retrieve the latest changes.
Unlike traditional CDC approaches, LTAP requires no explicit table replication, as all data is stored in a single governed copy. This architecture circumvents common issues faced by hybrid transactional/analytical processing (HTAP) systems, such as incomplete feature sets, lack of ecosystem support, and performance contention.
The Lakebase architecture has unlocked capabilities like unlimited storage, elastic compute, durable writes, and instant branching, with ongoing developments anticipated in the future.
Sixteen years ago, the author began their PhD at UC Berkeley, where they were advised to focus on analytics rather than OLTP databases, which were considered a solved problem. However, upon developing Databricks, they found that OLTP databases were cumbersome, challenging to scale, and fragile. This led to the creation of Lakebase, a serverless Postgres database designed to address these issues by externalizing the write-ahead log (WAL) and data files into independent services.
Lakebase architecture separates the WAL into a distributed service called SafeKeeper and data files into another service called PageServer, allowing for improved durability, scalability, and performance. This architecture eliminates data loss risks associated with disk failures and misconfigurations, simplifies high availability, and allows for elastic compute resources.
Lakebase also introduces LTAP (Lake Transactional/Analytical Processing), which enables transactions and analytics to operate on a single data copy in real-time, avoiding the need for separate data copies and reducing costs. The system retains Postgres's ACID semantics while storing data in open columnar formats, making it accessible to both transactional and analytical engines without the delays and complexities of traditional replication methods.
The architecture allows for unlimited storage, serverless compute, and instant branching, while ensuring that analytics can read the most current transactional data without affecting transactional workloads. LTAP aims to unify transactional and analytical processing by leveraging distinct compute engines for each workload while integrating at the storage layer.
EDB has been recognized as a Leader in The Forrester Wave: Multimodel Data Platforms, Q2 2026, with EDB Postgres AI (EDB PG AI) achieving the highest scores in Vision, Innovation, Roadmap, and Partner Ecosystem criteria. EDB PG AI integrates transactional, analytical, and AI workloads into a unified platform, supporting open-source frameworks and enabling various deployment options. The platform features governance at the data layer and is designed for operational efficiency, allowing organizations to implement sovereign AI quickly. EDB PG AI can be deployed on-premises, in hybrid environments, or across cloud infrastructures, backed by partnerships with companies like Dell, IBM, and NVIDIA.
EDB has been recognized as a Leader in Forrester's Multimodel Data Platforms evaluation for Q2 2026 for its EDB Postgres AI platform, receiving the highest scores in Vision, Innovation, Roadmap, and Partner Ecosystem. The platform is designed to manage mixed translytical and AI workload demands, offering flexibility in deployment across on-premises, hybrid, and multi-cloud environments. EDB's recent product update introduced agentic database and converged analytics functionalities, reportedly accelerating database tuning by up to tenfold and reducing analytics ownership costs by as much as 58%. The platform is supported by a partner ecosystem that includes Dell, IBM, NVIDIA, Red Hat, and Supermicro, which plays a crucial role in influencing database purchasing decisions. EDB's roadmap focuses on advancements in GPU-accelerated workloads, semantic intelligence, governance, and knowledge graph functionalities. The emphasis on sovereign deployment aligns with organizations' needs for control over sensitive data amidst stricter regulations.
Sony plans to discontinue the production of physical game discs for the PlayStation 5 by 2028, shifting towards a fully digital licensing model. Frank Cifaldi from the Video Game History Foundation has raised concerns about the preservation of video game history, stating that piracy may become the only means of safeguarding digital works. He criticized the Entertainment Software Association for resisting efforts to create a legal framework for preserving digital content. Cifaldi highlighted that museums and archives are preparing for this digital future, questioning the industry's expectations for cultural institutions as physical media is phased out. The transition to digital ownership has sparked discussions in the gaming community, particularly regarding the lack of backward compatibility in the PlayStation ecosystem and the challenges posed by the closure of digital stores for older consoles. The urgency for solutions to protect video game history is increasing as the industry moves towards a digital-only future.
In 2026, the laptop purchasing landscape is affected by a price crisis due to AI data center demands, leading to higher costs for RAM, storage, and processors. Buyers are advised to consider laptops manufactured between 2019 and 2024 for compatibility with Windows 11, which requires a minimum of 4GB of RAM, with 8GB being the practical baseline and 16GB recommended for everyday tasks.
1. The Acer Swift X (2022) features an RTX 3050 Ti mobile chip, a Ryzen 5825U processor, and 16GB of LPDDR4X RAM, priced under ,000, and has a 4.4/5 rating on Amazon.
2. The Dell Latitude 7330 (2022) has a 1080p display, an Intel i5-1245U processor, and 16GB of RAM, available for around 0 from third-party sellers, and offers a convertible design.
3. The Acemagic LX15Pro is priced under 0, powered by a 5700U processor, has 16GB of RAM and a 512GB storage drive, and holds a 4.8/5 rating on Best Buy.
The laptops were selected based on affordability, compatibility with Windows 11, and availability across multiple retailers.
In April, a statement on the Windows Learning Center claimed that Microsoft Defender Antivirus is sufficient for many Windows 11 users, leading to brief attention before the article was removed a month later without explanation. The link now redirects to the homepage, but the content is still accessible via the Internet Archive. Microsoft has not clarified the removal, and speculation suggests backlash from the third-party security industry may have influenced this decision.
Research indicates that the infection rate for consumer PCs in 2023-2024 was 3.07%, lower than the 2.39% for business PCs, suggesting that risks may not be as widespread as often claimed. The 2025 Cybersecurity Threat Report noted that 56% of consumer endpoints that faced an infection in 2024 experienced subsequent infections, with user behavior playing a significant role.
A survey found that 54% of Americans rely on default device protection, while 46% use third-party antivirus solutions. Modern antivirus solutions, including Microsoft Defender, achieve protection rates of 99% or higher, with Defender specifically reaching a 99.0% protection rate without false positives. This performance indicates that Defender is adequate for most consumers.
Default security measures on platforms are generally effective, with modern antivirus applications blocking 99.2% of threats that bypass other protections. Consequently, 97% of PCs remain free from malware infections, suggesting that improving user training may be more beneficial than investing in superior software.
In contrast, businesses face different challenges, as attacks are often executed by sophisticated criminal organizations targeting vulnerabilities in third-party software. Enterprise administrators typically use specialized endpoint security products for centralized management and continuous monitoring, which are essential for protecting business environments.
In 2001, Steve Ballmer, then CEO of Microsoft, referred to Linux as a "cancer" threatening Microsoft's intellectual property and likened its users to "communist thieves." By 2016, after Microsoft ported SQL Server to Linux, Ballmer expressed enthusiasm for the change and acknowledged that the conflict with open-source had benefited Microsoft's financial success. In 2020, Microsoft President Brad Smith admitted the company had been on the wrong side of history regarding open source and noted the need for change. Microsoft has since embraced open-source technologies, introducing products like Azure Linux 4.0, built on Fedora.
As Windows 11's transition becomes difficult for users, advocacy groups have criticized Microsoft for ending support for Windows 10, which could lead to millions of discarded computers. Microsoft extended Windows 10's life through an Extended Security Updates program until October 14, 2026, with a recent announcement pushing it to 2027. Rising hardware costs and design flaws in Windows 11 have led some users to consider alternatives like Linux. A survey revealed that 30% of PCs are still running Windows 10, and a poll showed that 68% of respondents plan to stick with Windows 10 through 2027.
