Author: InfoForTech

Open-source LLMs and multimodal models are released at a steady pace. Many report strong results across benchmarks for reasoning, coding, and document understanding. Benchmark performance provides useful signals, but it does not determine production viability. Latency ceilings, GPU availability, licensing terms, data privacy requirements, and inference cost under sustained load define whether a model fits your environment. In this piece, we’ll outline a structured approach to selecting the right open-source model based on workload type, infrastructure constraints, and measurable deployment requirements. TL;DR Start with constraints, not benchmarks. GPU limits, latency targets, licensing, and cost narrow the field before capability comparisons…

These F&B chains are winning over the taste buds of Singaporeans “I support foreign F&B [brands] over local ones.” It’s a statement that sparked debate on a Reddit thread—and it reflects a growing trend in Singapore’s dining scene. While Singaporeans still love their local fare, an increasing number are showing support for foreign F&B brands. This shift is evident in the wave of international F&B chains expanding and growing their presence here. Over the past few years, Singapore has seen a significant influx of international food and beverage operators. As of 2025, around 85 Chinese F&B brands alone were operating…

Perplexity just launched a feature that lets different AI models collaborate on the same task. Called Perplexity Computer, it taps Gemini, Grok, and ChatGPT 5.2 depending on what you need. But Computer does more than answer questions. It completes tasks. The tool is live today for Perplexity Max subscribers on desktop web and will reach Enterprise Max users soon. The system runs Opus 4.6 as its core reasoning engine. But for specific jobs, it hands off to specialist models. Gemini handles deep research by creating sub-agents. Grok jumps in for speed on lightweight tasks. ChatGPT 5.2 manages long-context recall and…

(Valve Software Image) A new suit filed by the New York attorney general seeks to stop Valve Software’s use of “loot box” mechanics in its popular PC games, accusing the Bellevue, Wash.-based company of making billions of dollars by luring children and teenagers into gambling on rare Counter-Strike skins. The lawsuit alleges that Valve’s first-party games are essentially an illegal gambling operation aimed at younger players. It seeks to stop Valve from implementing loot box mechanics in its games going forward, as well as hit the company with a fine equal to “three times the amount of its gain from…

Key Takeaways CNAPP consolidates CSPM and CWPP into unified dashboards across AWS, Azure, GCP Effective CNAPPs detect active threats beyond just misconfigurations Shift-left scanning integrates security directly into CI/CD pipelines Agentless architecture delivers compliance without performance overhead Policy parity prevents multi-cloud drift using CIS benchmarks Microagents enable one-click remediation across all cloud environments Cloud misconfigurations rank among the leading causes of cloud security incidents across AWS, Azure, and Google Cloud Platform. CNAPP platforms deliver cloud security posture management (CSPM) with continuous detecting misconfigurations in multi-cloud environments, automated remediation for cloud misconfiguration, and unified policy enforcement.Security teams achieve continuous compliance while…

At the beginning of the year, The Cut kicked off a brief discourse cycle by declaring a new lifestyle trend: “friction-maxxing.”The idea, in a nutshell, is that people have overconvenienced themselves with apps, AI, and other means of near-instant gratification—and would be better off with increased friction in their daily lives, which is to say those mundane challenges that ask some minor effort of them.Whatever your feelings on that philosophy, the use of “maxxing” as a suffix assumed to be familiar or at least intelligible to most readers of a mainstream news outlet is evidence of another trend: the assimilation…

The Department of War is currently playing a high-stakes game of chicken with Anthropic, the San Francisco AI darling known for its “safety-first” mantra. As of February 17, 2026, Defense Secretary Pete Hegseth is reportedly “close” to designating Anthropic a “supply chain risk.” This is no mere slap on the wrist. This classification—usually reserved for hostile foreign entities like Huawei—would effectively blacklist Anthropic from the entire U.S. defense ecosystem. Every contractor, from Boeing to the smallest software shop, would be forced to purge Claude from their systems or risk losing their own government standing. The irony? Anthropic’s Claude is currently…

Ravie LakshmananFeb 25, 2026Cyber Espionage / Network Security Google on Wednesday disclosed that it worked with industry partners to disrupt the infrastructure of a suspected China-nexus cyber espionage group tracked as UNC2814 that breached at least 53 organizations across 42 countries. “This prolific, elusive actor has a long history of targeting international governments and global telecommunications organizations across Africa, Asia, and the Americas,” Google Threat Intelligence Group (GTIG) and Mandiant said in a report published today. UNC2814 is also suspected to be linked to additional infections in more than 20 other nations. The tech giant, which has been tracking the…

Last year, investors worried that AI would crash the economy by making too little money.Now, they fear it will do so by making too much.On Sunday, a little-known financial analysis firm called Citrini Research published a piece of science fiction: A memo dated June 2028, in which its researchers sketch a pocket history of “the global intelligence crisis” — an AI-triggered meltdown of the world’s financial, economic, and political systems.In this account, the problem isn’t that AI proves unprofitable — and America’s data centers become rusted-out memorials to a 21st century Tulip Mania.In Citrini’s telling, AI does exactly what its…

Nvidia Corp. sailed past analysts’ expectations again as it delivered its latest financial results today. Revenue in its core data center business jumped more than 75% from a year earlier, sending its stock higher in after-hours trading. Once again, the company delivered solid fourth-quarter results across the board. Earnings before certain costs such as stock compensation came to $1.62 per share, easily beating Wall Street’s target of $1.53 per share. Meanwhile, overall revenue soared 73% to $68.13 billion, surpassing the $66.21 billion consensus. Data center revenue came to $62.3 billion in the quarter, ahead of the Street’s $60.69 billion target.…