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Here's your quick roundup of today's biggest developments across semiconductor architecture, startup entrepreneurship programs, enterprise AI talent trends, crypto policy advocacy, and satellite connectivity.
Today's roundup spans five distinct storylines shaping the tech and business landscape: Intel unveiling a three-pronged chip architecture strategy for agentic AI and enterprise workloads, MeitY opening applications for its third cohort of deeptech entrepreneur support, Indian enterprises racing to adopt agentic AI even as engineering talent shortages intensify, a crypto advocacy group flexing political influence ahead of US midterms, and Starlink renewing its push to bring satellite connectivity — and by extension AI access — to rural India.
Intel showcases Diamond Rapids, Crescent Island GPU, and Wildcat Lake SoC — three architectures spanning orchestration, inference, and edge computing — built on its 18A process and Foveros Direct 3D packaging.
MeitY's GENESIS EIR 3.0 programme opens applications (until September 3) to support early-stage tech founders, offering funding of up to ₹10 lakh.
India's agentic AI adoption is accelerating fast — nearly a quarter of enterprises are already deploying it — but a talent crunch in semiconductors, EVs, and manufacturing is pushing recruitment timelines earlier.
Coinbase-backed Stand With Crypto endorses 32 incumbent US congressional candidates who backed the industry-priority Clarity Act, as the bill stalls in the Senate.
Elon Musk reaffirms Starlink's rural India ambitions as the company reapplies with IN-SPACe for its nearly 30,000-satellite Gen 2 constellation, aiming to bring direct-to-device connectivity where towers and fibre fall short.
The government has notified the Semicon 2.0 scheme with an outlay of Rs 1.27 lakh crore to boost the chip manufacturing ecosystem in the country.
The scheme has been divided into six segments covering designing of chips by Indian firms, setting up units for capital equipment required for chip production, semiconductor fabs, chip assembly, packaging and testing, etc.
YZi Labs Invests in De¹ to Build AI Financial World Model Across 1,000+ Liquidity Sources
YZi Labs has invested in De¹, a fintech-AI startup developing a Financial World Model trained using live market execution. The investment amount, funding stage, and valuation were not disclosed. De¹ connects more than 1,000 liquidity sources across over 40 blockchain networks, feeding trading outcomes back into its AI model to improve execution and market intelligence. The platform is designed for perpetuals, prediction markets, tokenized assets and other programmable financial markets. De¹ plans to integrate more deeply with the BNB Chain ecosystem as tokenized equities and AI-powered financial agents expand. The business model combines unified liquidity, intelligent execution and reinforcement-learning infrastructure for developers, traders, institutions and autonomous AI agents seeking real-time access to financial markets.
The decline comes at a challenging time for young people preparing to enter the workforce. Competition for available positions has also increased across the wider UK jobs market.
Data from Adzuna showed that there was an average of 2.14 jobseekers per vacancy in July, compared to 1.93 a year earlier. This indicates that graduates are competing not only with other new entrants, but also with experienced workers seeking opportunities in a weaker hiring environment. The current situation represents a sharp reversal from the boom in graduate recruitment seen in previous years.
The total increased 17% from the $545 million recorded during the corresponding period in 2025. Projects spent only $366,000 across all of 2024, showing how quickly revenue-funded token repurchases have become part of decentralized finance.
Hyperliquid and Pump. fun accounted for nearly 90% of the 2026 total. Their dominance means the broader increase does not represent uniform adoption across the crypto market.
Sony Music Publishing and Warner Chappell Music sued Anthropic on August 28 over alleged mass copyright infringement. The lawsuit, filed in Northern California, accused Anthropic, Dario Amodei, and cofounder Benjamin Mann of using copyrighted music without permission.
The publishers mentioned that Anthropic obtained songs through torrenting and scraping, then used copies to train and operate Claude AI models.
