Author: Carter

Google Research team has unveiled Gemini-SQL2 on X, presenting it as a significant progress in text-to-SQL performance powered by Gemini 3.1 Pro. On the BIRD Text-to-SQL Leaderboard (Single Model track), the system recorded 80.04% execution accuracy. Google’s visualization positions it above its own Gemini-SQL, which previously held the highest spot. The measurement verifies whether the produced SQL runs and delivers the correct results, rather than just checking for syntactic appearance. Gemini-SQL2 Gemini-SQL2 is a text-to-SQL capability, not a standalone foundation model release. It converts natural language questions into what Google refers to as ‘execution-ready SQL queries.’ The capability is built…

Anthropic’s latest AI model, Claude Fable 5, forecasts that Spain will defeat France in the 2026 World Cup final on July 19. However, the model assigns only an 18% probability to its own selection. BeInCrypto conducted multiple simulations with the model to evaluate its forecasting abilities, as the tournament began this week with a record 48 teams. Fable 5 based its prediction on tournament format, squad depth, and nearly a century of hosting data. Why the AI Focuses on the Format Before the Teams The model’s initial reasoning centers on structure rather than individual talent. The expanded tournament includes 104…

Supply-chain attacks typically only grab attention after they’ve already happened—when a harmful software package, a tampered update, a rogue extension, or a breach at a trusted vendor makes headlines. However, long before an incident becomes public, there are often subtle early indicators that go unnoticed. In underground forums and marketplaces, supply-chain threats aren’t always labeled clearly. A post might never mention “supply-chain attack” directly. Instead, it could be advertising access to GitHub accounts, private repositories, source code, API keys, OAuth tokens, cloud credentials, CI/CD configurations, or leaked vendor data. The real supply-chain risk lies in where that access leads and…

As AI narrows the gap in software capabilities—making features simpler to copy and code faster to develop—the real edge now lies in how well things are carried out. The more automated technology becomes, the more valuable it is to have people who truly grasp how systems function in practice. This holds especially true for government, where needs and priorities differ sharply from those in the private sector. From the very beginning, security drives choices. Systems must work with existing infrastructure that was never meant to be swapped out. And when things go wrong, the fallout isn’t just financial—it shows up…

Ricoh and Thread AI have launched a smart facility management platform that combines multimodal AI with digital twin powered infrastructure.The project focuses on improving and automating facility-management processes throughout Japan. It aims to solve a common problem with AI implementations—they often cannot deliver organization-wide optimization when running independently. These isolated systems also struggle when they rely solely on individual human knowledge.Plant environments constantly produce streams of hardware data. Sensor and video feeds from physical locations serve as the primary input. Merging this raw hardware information with existing operational records creates the foundation for advanced platforms. Digital twins simulate physical spaces…

1. Over the last ten years, the field of deep learning has expanded dramatically, driven by both advances in hardware computing power and creative breakthroughs in model architecture. Yet, if you pause to consider it, the core architecture has stayed largely the same in several important respects. While there has been a major transition from convolutional networks to the Transformer architectures that now underpin today’s large language models, the fundamental way these networks pass information from one layer to the next has seen relatively little change. Recently, a team of researchers at DeepSeek-AI published a paper called “mHC: Manifold-Constrained Hyper-Connections,”…

Here is the paraphrased version of the HTML content, keeping the structure intact while making the text clearer and more readable: This companion piece is part of the Enterprise Document Intelligence series, which walks through building an enterprise RAG system using four core components. Article 5 (document parsing) introduced a parser built with PyMuPDF (fitz). This companion follows the same objective and uses the same relational database tables, but replaces the parsing engine with Azure Layout (the prebuilt-layout model), a more powerful solution that captures what fitz misses. That gap is exactly where we begin. This companion’s position: it builds…

“` I’ve made no secret of my approach to stacking Bitcoin aggressively at today’s price levels. Now, I’m turning my attention more seriously toward Strategy as well. The same cluster of bullish signals that identified Bitcoin as a compelling buy is now showing up on MSTR — and in certain respects, the indicators are even more stretched. This week at a glance: The RSI has only dipped to lower levels a few times since Strategy embraced a Bitcoin-first treasury policy. The Mayer Multiple for MSTR has just slipped into historically low percentile territory. The BTC-to-MSTR ratio is nearing a zone…

For much of the last ten years, Managed Detection and Response (MDR) solved a genuine issue. Security groups often lacked enough people to work around the clock, struggled to recruit skilled analysts, and urgently needed relief from overwhelming alert volumes. MDR filled that gap and delivered reasonable results—until the present. Today’s threat environment has evolved faster than MDR can keep up with. Attackers now leverage AI to accelerate their operations, craft highly convincing phishing messages at scale, automate system reconnaissance, and produce malware that sidesteps traditional signature-based defenses. The battleground has also widened, spanning endpoints, cloud platforms, identity systems, and…

Looking carefully at the output to complete the partial thought, this appears to be the last sentence cut off. Let me re-read the entire text, identify where the cut-off happens, and provide the full paraphrased version, ending that sentence logically and preserving the overall structure and content. Published on June 12, 2026 by André Martins (Cilium maintainer and Software Engineer, Isovalent at Cisco) and Feroz Salam (Cilium Security Team and Security Engineer, Isovalent at Cisco) CNCF projects featured in this post Part two This is the second post in a three-part series on strengthening Cilium’s CI/CD pipeline. Part 1 focused…