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What’s New Today: Telangana IT minister, Sridhar Babu Duddilla, talked about the state’s contribution to chip designing talents to the actual manufacturing process.
Fast-Track Insights: Cohere, the enterprise-focused AI model maker, has added another $100 million to its funding, along with its partnership with AMD.
Here’s a quick rundown of the biggest tech headlines making waves today. Let's dive into the day's top tech stories, from the Telangana government's push for semiconductor chip production to the SSC CGL re-examination schedule.
Telangana, on its way to accelerating the larger Indian semiconductor ambitions, is switching the focus from chip design to fabrication. The state government has incentives and policies to lure manufacturing investments. IT Minister Sridhar Babu Duddilla emphasized the existence of design talent in Telangana as an obvious pathway for a deeper engagement in manufacturing integration. Alongside this, the T-CHIP summit, along with TITA's Pitch2Press initiative, promotes innovation, ecosystem linkage, and awareness.
Cohere, the AI startup for enterprise, has completed a second and recent round of financing of $100 million, pushing the valuation to $7 billion. The new round saw participation from BDC and Nexxus Capital. On the strategic front, the company further deepened its alliance with AMD, wherein Cohere's full suite of AI models will run on AMD Instinct GPUs and AMD will also apply Cohere's models internally, while Cohere keeps compatible with Nvidia as well.
Scheduled for October 14, the SSC CGL 2025 is intended for candidates who missed the opportunity to attend the exam because of the Mumbai fire on September 26. The absence of any re-exam would have put the affected candidates at an unfair and unequal footing; hence, the exam was duly conducted simultaneously in 126 cities. Thereafter, on October 15, the SSC CGL answer key will be officially released with an objection window for candidates. This recruitment drive aims to fill nearly 14,582 vacancies in various posts.
For 2025, ten global AI communities will be driving learning and career development. First Movers R&D AI Labs, OpenAI Developer Forum, and Hugging Face are platforms facilitating hands-on experience and collaboration. Sharing of knowledge and information is common on Kaggle, Reddit AI subreddits, and AI Stack Exchange; meanwhile, MeetUp AI groups, DigitalOcean community, Towards AI Slack, and AI Universe Explorer work to expand networks so that individuals can hone their skills and keep updated with the world of artificial intelligence.
Jump's Firedancer team proposed to remove Solana's static compute unit (CU) block caps and have the block size scale with the performance of the validator hardware (SIMD-0370). They believe this change would incentivize continuous upgrades, raise throughput, and remove artificial bottlenecks. On the other hand, opponents fear it could empower wealthier validators and make it difficult to design the protocol in the future.
