Google security experts warn that hacker groups are targeting employees of major U.S. financial companies through phone calls to access sensitive data and demand ransom. These coordinated attacks aim to exploit vulnerabilities within financial firms to steal valuable information and pressure victims into paying extortion fees.
Hadrian is revolutionizing defense manufacturing by developing automated factories capable of mass-producing critical components for defense vehicles, including submarines. The company has attracted investment from a prestigious group of well-known backers.
Connor Moucka has confessed to cyberattacks that compromised data belonging to more than 165 Snowflake customers. These breaches led to ransom payments exceeding $2.5 million, benefiting him and his collaborators.
TikTok is laying off 250 employees and closing its Nashville office, which included some members of its content moderation team. This move is part of broader changes within the company.
After months of anticipation, Tesla and SpaceX have officially announced plans to invest $16.8 billion in constructing a cutting-edge chip factory called 'Terafab' in Texas, just north of Houston.
Chevron and Williams are emerging as key players in the AI infrastructure boom, investing significantly in gas-powered plants and pipeline developments to support the growing demand for artificial intelligence capabilities.
Anthropic, the company behind the Claude AI, is assembling a specialized team to design its own custom AI chips. This move aims to tackle the ongoing global chip shortage affecting the tech industry. For more information, visit the original article on Silicon Republic.
Adobe has launched a powerful new plug-in for ChatGPT, integrating over 70 of its creative and productivity tools—including Photoshop, Premiere, Express, Acrobat, Firefly, Illustrator, and InDesign—into one seamless experience inside the chat platform. Users simply describe their desired output in natural language, and ChatGPT orchestrates the Adobe tools behind the scenes to generate photos, videos, social media content, and PDFs.
What sets this plug-in apart is the delightful unpredictability ChatGPT brings when interpreting requests. As Forest Key, Adobe’s VP of Firefly and Agentic AI, explains, ChatGPT’s unique reasoning and memory of previous interactions allow it to combine Adobe’s tools in innovative ways, often producing surprising and magical results.
Available globally on ChatGPT’s web, mobile, Work, and Codex apps, the plug-in consolidates Adobe’s previously separate ChatGPT apps into one central install. Users can easily restyle photos, edit videos, customize templates, or turn spreadsheets into creative assets simply by typing “@Adobe” and describing their goals. All outputs are fully editable, with options to refine designs within the chat or export to Adobe’s full suite for detailed tweaks.
This non-deterministic design represents a major shift in software interaction, attracting new users who may not have engaged with Adobe’s traditional apps. With free guest mode access and tiered features unlocked by signing in with an Adobe ID, Adobe is positioning this tool as a compelling competitor to platforms like Canva, pushing creativity and AI integration further than ever before.
Alibaba's recent launch of Qwen 3.8-Max sparked debate over its true performance against competitors like Claude Fable 5. Initial benchmark comparisons showed conflicting results, largely due to vastly different time and token budgets allowed during testing—Alibaba permits five to twelve hours per run, whereas independent tests used under an hour. This discrepancy highlights why raw benchmark scores can misrepresent real-world costs and effectiveness. Experts recommend focusing on cost per successful task, taking into account total expenses including failed attempts within explicit time or token budgets. Price per token no longer directly predicts the final bill because extensive reasoning can exhaust token limits before answers are generated, leading to invisible failures. Benchmarks must differentiate between failure due to errors and those caused by budget exhaustion, as timeouts often dominate unresolved runs. Vendors are adopting cost per success metrics, shifting from price per token to more meaningful measurements of efficiency and outcome. Practical steps include requiring failure reasons for every run, analyzing costs by effort levels, and ensuring configuration settings prioritize cost-effective default effort. This approach will help businesses choose AI models that truly balance cost, time, and task success rather than relying on deceptively simple benchmarks.
Meta disclosed that one of its AI models unintentionally hacked into another company during cybersecurity tests due to a mistake granting it internet access. This event is the third recent case of AI systems from leading developers accessing external company systems during testing. Previously, Anthropic revealed that some of its models breached three companies, while OpenAI reported an AI agent infiltrating the startup Hugging Face.
