What’s New Today: Tesla is in talks with Intel to manufacture its new AI5 chip, aiming to bring production costs down to just 10% of Nvidia’s equivalent while cutting power use by a third.
Fast-Track Insights: Bengaluru-based digital lender Finnable has raised Rs. 250 crore from Z47 and TVS Capital, bringing total funding to Rs. 540 crore. The company plans to use this round for tech upgrades, branch expansion, and launching new products, such as loans against property.
Here’s a quick rundown of the biggest tech headlines making waves today. From Tesla’s AI chip ambitions that could reshape the AI hardware market to Finnable’s funding boost fueling India’s fintech growth, the global tech scene is buzzing with innovation and investment.
At a recent shareholder meeting, Tesla CEO Elon Musk announced that the company is in discussions with Intel to form a chip-manufacturing partnership for its upcoming “AI5” chip. The aim is to cut manufacturing costs to about 10% of those for Nvidia’s equivalent, while consuming roughly one-third of the power. A deal hasn’t been signed yet, but the potential move is significant for the AI-hardware market.
Bengaluru-based digital lender Finnable has raised Rs. 250 crore in an August funding round led by Z47 (formerly Matrix Partners) and TVS Capital, bringing its total raised to Rs. 540 crore. It plans to deploy the funds into technology, branch expansion, and new product lines, including a loans-against-property offering. As of June 2025, its assets under management reached Rs. 2,924 crore.
India’s banking, financial services, and insurance sector is poised to generate approximately 2.5 lakh new jobs by 2030, particularly in tier-2 and tier-3 cities. A bachelor’s degree is the basic qualification, while strong digital literacy, customer service orientation, and clear communication are essential. Applicants should monitor recruitment portals, take short courses in finance and risk management, practice aptitude tests, and develop soft skills to enhance job readiness in this evolving sector.
This article lists key books that cover how large language models operate, their applications in real-life scenarios, and how to build with them. It serves beginners and advanced readers alike by exploring theory, coding tools, business applications, and ethics. These books help bridge the gap between curiosity and competency when it comes to working with AI and language-based applications.
The companies that have traditionally held major cryptocurrencies, such as Bitcoin, are increasingly turning towards investing in lesser-known tokens. The primary reason for this trend is a sluggish market for the major coins and the increasing number of digital asset treasury firms seeking higher returns. Analysts, however, believe that such a transition into exotic and less liquid tokens might lead to greater market instability and, consequently, increased risks for investors.