autonomous Archives

Tech Optimizer

July 30, 2026

EDB Says Postgres AI Tops Enterprise AI Data Platform Benchmarks

EnterpriseDB (EDB) has released benchmark results for its EDB Postgres AI (EDB PG AI), showing superior performance compared to various AI data platforms, including vector databases and managed Postgres platforms. The independent testing by McKnight Consulting Group indicated that EDB PG AI outperformed competitors in all evaluated metrics, including query speed, accuracy, and cost efficiency. Key findings include: - EDB PG AI achieved a median query latency of 50 milliseconds at 50 million vectors, making it the fastest platform tested, 80 times faster than Databricks and 21 times faster than MongoDB Atlas. - It demonstrated the highest accuracy for core vector search with a recall rate of 0.911, outperforming MongoDB by 26% and Databricks by 17%. - In a concurrent agent loop test, EDB PG AI completed tasks in 27 milliseconds, significantly faster than MongoDB Atlas (699 milliseconds) and Databricks (5.1 seconds). - EDB PG AI provided 76 times better price performance than Databricks and 34 times better than MongoDB. - The platform integrates vectors, structured data, and analytics within a single operational database, enhancing efficiency and reducing the risk of data inconsistency. The benchmark study assessed the performance of EDB PG AI against Amazon Aurora PostgreSQL, Databricks, Crunchy Bridge, MongoDB Atlas, and open source PostgreSQL, all standardized on equivalent enterprise hardware.

Tech Optimizer

July 29, 2026

EDB Postgres® AI Outperforms Vector Databases, Lakehouses, and Document Stores for Agentic AI on Speed, Accuracy, and Cost

EDB Postgres AI is a pioneering solution that integrates intelligence and data on a unified sovereign foundation, eliminating the need for ETL processes, data duplication, and separate vector stores. Independent benchmarks show that EDB Postgres AI outperforms competing platforms in speed, accuracy, and cost-effectiveness. A study by McKnight Consulting Group indicates that EDB Postgres AI excels in key performance metrics, including query latency, accuracy, cost, and data freshness, outperforming specialized vector databases and other managed Postgres platforms. EDB Postgres AI achieves median query latencies of 50 milliseconds at a scale of 50 million vectors, making it 80x faster than Databricks, 21x faster than MongoDB Atlas, and up to 2x faster than alternatives like Aurora and Crunchy Bridge. It also delivers the highest recall rates for core vector searches, surpassing competitors like MongoDB and Databricks. In tests involving concurrent retrievals, EDB Postgres AI completed a three-arm agent loop in 27 milliseconds, significantly faster than other platforms. In terms of cost efficiency, EDB Postgres AI offers 76x better price performance than Databricks, 34x better than MongoDB, and 23%–28% better than the nearest managed Postgres competitors when considering query speed. The architecture of EDB Postgres AI allows for the integration of vector, filtered, and full-text retrieval in a single query path, ensuring real-time data access and eliminating the need for separate systems.

AppWizard

July 29, 2026

Speaking of Matt Damon, there’s a new survival game out this week on Steam where you’re stranded on Mars and have to grow potatoes to survive

Christopher Nolan's film The Odyssey is boosting Matt Damon's career. The game Sol One, developed by yeetgench, is inspired by themes of survival similar to those in Damon's role in The Martian. In Sol One, players navigate a Martian landscape, scavenging resources and cultivating food, particularly potatoes, to survive. Unlike the film, the game's protagonist must rely on their ingenuity to escape without waiting for rescue. Players will mine materials like iron, copper, and uranium to build a rocket to return to Earth. The game includes automation features, allowing players to use rovers for resource gathering. Sol One aims for a grounded, science-driven survival experience, featuring realistic weather patterns and dynamic challenges. Early access for the game launches on Steam on July 30.

Tech Optimizer

July 27, 2026

Hackers are hiding malware behind AI agents that antivirus cannot see

Sergey Lozhkin, head of Kaspersky’s global research and analysis team for the Asia-Pacific, Middle East, Turkey, and Africa, reported an increase in malware injection attacks targeting AI agents, particularly from outside an organization’s network. He noted that traditional signature-based analysis is becoming ineffective as AI skills operate in the cloud, connecting to external resources. Dmitry Galov, leading Kaspersky’s research for Russia and the CIS, emphasized the importance of behavioral analysis and sandboxing AI applications to combat these threats. Lozhkin warned that the rapid growth of skills and plugins requires organizations to adopt innovative security measures, as old models are no longer sufficient.

AppWizard

July 14, 2026

Ascend to ZERO: A Time-Bending Roguelike Sharpened to the Last Second

Ascend to ZERO has launched on XBOX Series X|S, XBOX on PC, and XBOX Cloud, and is part of the XBOX Play Anywhere initiative, accessible through XBOX Game Pass. The game features a 30-second countdown timer for each run, with damage taken reducing the time. A unique Time-Stop feature allows players to freeze everything while they move, enabling strategic positioning and action planning. Combat mechanics focus on autonomous targeting, allowing players to concentrate on strategy. The leveling system enables rapid progression from level 1 to hundreds of thousands. The game includes a new difficulty system for tailored challenges and an in-game play guide for player support. The late-game experience is designed to maintain excitement with strategic decision-making and culminates in a boss battle.

AppWizard

July 7, 2026

Discord Banned 8,000 Users for Posting Chessboards and Minecraft Screenshots

In May 2026, Discord's content moderation system mistakenly banned over 8,200 users due to a hash-matching system that identified harmless grid patterns as harmful content. This incident was worsened by two bugs: one that bypassed the intended upload-pause for human review and another that prevented the lifting of bans even after staff cleared the accounts. The images that triggered these bans included chessboard screenshots, Minecraft inventory grids, game texture patterns, Google Drive and spreadsheet tables, and standard UI grid layouts. Following the incident, all affected accounts were reinstated, and the problematic hash was neutralized. The situation occurred alongside Discord's efforts for age verification, which faced scrutiny due to a breach exposing ID documents of approximately 70,000 users.

Tech Optimizer

July 6, 2026

Why most AI projects fail: It’s infrastructure and people

AI technology faces significant criticism for its low success rates in delivering business results, with studies indicating a 95% failure rate for enterprise AI solutions and only 9% of organizations in Europe, the Middle East, and Africa achieving measurable outcomes from AI initiatives. Four main shortcomings hinder the transition of AI prototypes to production: 1. Deployment Flexibility: Prototyping environments often lack the necessary flexibility for large-scale production deployment, particularly in regulated sectors. 2. Data Sovereignty: Production transitions can complicate data sovereignty at enterprise and regional levels. 3. Reliability: High availability is crucial for production environments, but vendor-managed platforms may not guarantee seamless upgrades or hardware swaps without downtime. 4. Disconnect in Tool Selection: Developers often choose tools for prototyping without considering production implications, leading to difficulties in scaling. The shortage of database administrators (DBAs) is exacerbated by the increasing use of AI tools, with 84% of developers utilizing them according to a 2025 survey. To address these challenges, Merrick suggests leveraging AI DBA agents to support human DBAs and improve database management efficiency. He emphasizes the need for both robust data infrastructure and enhanced operational support to improve the success rates of AI prototypes.

AppWizard

July 1, 2026

Google App Update: A Stunning Gemini AI Upgrade For Mac Users

Google is developing a feature that allows Android users to remotely command and monitor AI workflows on their Macs through the Android Google app. This feature is linked to Gemini Spark, Google's AI agent, and includes a "new thread" system to prevent data leakage. The upgrade aims to create a cross-platform ecosystem for Android users to utilize AI capabilities on Apple-silicon Macs. The feature, internally codenamed "Robin," requires Gemini for macOS to be installed on Apple-silicon devices and allows users to perform tasks like summarizing PDFs or triggering scripts remotely. This functionality is currently exclusive to Mac users, providing them an advantage over Windows users who lack a standalone Gemini desktop client. The Gemini Spark AI framework is still in an experimental stage, and its performance on macOS has yet to be fully validated.

Tech Optimizer

June 26, 2026

EDB Postgres AI Launch: Shifting To Autonomous, Sovereign Data For The AI Era

EnterpriseDB (EDB) introduced the EDB Postgres AI (EDB PG AI) platform on June 23, 2026, designed for AI applications to operate directly on live data rather than outdated copies from cloud data lakes. The platform allows organizations to host AI models, live data, and enterprise regulations within their infrastructure, reducing vendor lock-in and protecting regulated data. The EDB PG AI platform features a self-optimizing system that transforms PostgreSQL into an autonomous database, monitoring over 200 metrics for automated tuning and scaling. EDB claims performance troubleshooting can be up to 10 times faster, with issues resolved in minutes instead of the traditional 60 to 90 minutes. It also includes a converged query interface that integrates various data types into a unified engine, enabling AI agents to access authorized live data. An agent governance framework will be introduced in late 2026 to address risks associated with AI operations. EDB collaborates with IBM Power for a robust AI-ready infrastructure and integrates Red Hat Ansible Automation Platform for enhanced management capabilities.

Tech Optimizer

June 26, 2026

EDB launches agentic Postgres AI with governance tools

EDB has introduced new features for its Postgres AI platform, including an agentic database and converged analytics capabilities, allowing enterprises to run AI agents alongside transactional workloads on a unified PostgreSQL foundation. The platform includes governance tools that position control mechanisms at the data layer and integrates AI processing with operational data, enabling businesses to connect live records with AI systems without transferring sensitive information. The agentic database can monitor over 200 metrics, identify issues, suggest changes, and apply fixes automatically based on user-defined policies. It consolidates various data types through a single SQL interface, significantly accelerating database tuning processes and enhancing application performance. EDB has also expanded its analytics capabilities with a zero-ETL architecture for real-time analysis and large-scale warehousing. EDB PG AI for ClickHouse targets real-time analysis, while EDB PG AI for WarehousePG focuses on historical analysis at petabyte scale. The platform claims up to 30 times faster query performance compared to legacy systems and improved scaling efficiency. EDB's platform integrates vector search and retrieval for AI agents, demonstrating lower query latency and higher retrieval accuracy than competitors. NTT East is using EDB PG AI for AI-driven network operations, while the governance feature manages agent access at the data querying point using native Postgres roles and row-level security. The platform can be deployed on-premises, in hybrid environments, or across cloud infrastructures, with partnerships including Dell, IBM, Nvidia, Red Hat, and Supermicro.