Standard Intelligence's co-founder Devansh Pandey says the company's use of "Mithril", an omnicloud platform, allowed them to train a textless conversational audio base model for under $200,000, significantly reducing the cost of reserving multi-year AI compute capacity. Mithril is designed to aggregate distributed capacity from cloud providers and data centers into a single marketplace, maximizing price-performance while simplifying infrastructure management. The platform has gained support from prominent AI leaders such as Cursor, LG AI Research, and Arc Institute, enabling them to focus on advancing AI rather than negotiating for compute resources.
Mo Gawdat, a former Google X chief business officer, has warned that the AI revolution will bring about a decade of upheaval, including widespread job losses and economic inequality, potentially leading to social chaos. In an interview with British entrepreneur Steven Bartlett on his podcast, Gawdat described the next 15 years as "hell before we get to heaven".
GPUs, particularly those from manufacturers like NVIDIA and AMD, are in high demand due to their versatility in handling various AI workloads. Their parallel architecture makes them suitable for a wide range of applications, driven by the growing need for artificial intelligence and machine learning.
MarketsandMarkets reports that the global automotive artificial intelligence market is expected to grow from $1.4 billion in 2020 to $14.2 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 43.8% during the forecast period. This growth can be attributed to increasing adoption of AI technologies in vehicles, such as autonomous driving systems and predictive maintenance. Companies like NVIDIA and Intel are leading the charge with their AI-powered solutions for the automotive industry.
Cloudflare has accused Perplexity of using aggressive and stealthy bot tactics to force its crawlers onto websites. The company's Verified Bots Program was compromised when Perplexity failed to obey robots.txt protocols, instead rotating IP addresses from different Autonomous System Numbers (ASNs) to evade blocks. This allowed Perplexity to impersonate browsers like Chrome and change its user agent to bypass attempts to block its crawler.
Qualys Unveils Cyber Risk Assistant with AI Capabilities
8.4.25
Qualys has introduced the Cyber Risk Assistant and Agentic AI, a prompt-driven interface that helps teams navigate the risk journey with autonomous operations. The platform delivers continuous risk insights and prioritization from fragmented exposures, enabling organizations to reduce cost and complexity in risk operations. Adaptive Remediation AI Agents, such as the Microsoft Patch Tuesday Lifecycle Agent, continuously triangulate vulnerabilities and drive faster risk remediation. Security teams can also build custom AI agents tailored to their specific business needs, allowing for scalable automation of risk management workflows.
A new AI-powered marketing analytics platform is being developed by companies like Salesforce and Adobe, which will enable smaller businesses to access advanced data analysis tools previously reserved for large corporations. The system uses machine learning algorithms to analyze a company's own data and integrate it with partner data sources, allowing for more accurate audience insights and campaign optimization.
Tata Consultancy Services (TCS) plans to cut 12,000 jobs, about 2% of its global workforce, in FY26 as part of a shift towards lean, AI-driven IT operations. The move is seen as a response to automation and artificial intelligence taking over routine tasks, particularly entry-level roles. Experts believe this signals a broader structural change in the industry, with companies focusing on retaining talent for more complex skills and redeploying employees to focus on high-value tasks.
ZAC's Brain-Inspired AI Surpasses Traditional Algorithms
8.4.25
Z Advanced Computing, Inc. has been recognized as a superior approach to achieving Level-5 Self-Driving in the future, surpassing traditional algorithms like Neural Net and Deep CNN. The company's brain-inspired Concept Learning algorithms can handle complex situations and fuse multi-modal sensors/data, making them ideal for Situational Awareness. ZAC's Cognitive Explainable-AI (CXAI) has been demonstrated on projects with the US Air Force and Bosch/BSH, showcasing its capabilities in 3D image recognition from any view angle.