AI companies have sucked up the world’s entire music catalog and are guilty of “willful, commercial-scale copyright infringement,” a major music industry group told AFP.AI companies have sucked up the world’s entire music catalog and are guilty of “willful, commercial-scale copyright infringement,” a major music industry group told AFP.Business[#item_full_content]
Artificial intelligence could boost the value of global trade by almost 40% by 2040 thanks to cost reductions and productivity gains, the World Trade Organization said Wednesday.Artificial intelligence could boost the value of global trade by almost 40% by 2040 thanks to cost reductions and productivity gains, the World Trade Organization said Wednesday.Business[#item_full_content]
From Startup Battlefield to the Disrupt Stage: Discord founder Jason Citron returns to TechCrunch Disrupt 2025
From Startup Battlefield in 2013 to the Disrupt Stage in 2018: Discord founder Jason Citron returns to TechCrunch Disrupt 2025 in San Francisco on October 27-29. Register here to join.From Startup Battlefield in 2013 to the Disrupt Stage in 2018: Discord founder Jason Citron returns to TechCrunch Disrupt 2025 in San Francisco on October 27-29. Register here to join.[#item_full_content]
Lovable co-founder and CEO Anton Osika on building one of the fastest-growing startups in history at TechCrunch Disrupt 2025
Lovable has quickly become one of the most talked-about startups of the year, breaking records and making headlines as one of the fastest-growing software companies in history. Co-founder and CEO Anton Osika will take the Disrupt Stage to discuss “Lovable and the Future of Consumer Tech.” Register here to save your seat.Lovable has quickly become one of the most talked-about startups of the year, breaking records and making headlines as one of the fastest-growing software companies in history. Co-founder and CEO Anton Osika will take the Disrupt Stage to discuss “Lovable and the Future of Consumer Tech.” Register here to save your seat.[#item_full_content]
Google Ventures doubles down on dev tool startup Blacksmith just 4 months after its seed round
Blacksmith, a Y Combinator alum, raised $10M Series A led by Google Ventures to cut costs and speed up software builds.Blacksmith, a Y Combinator alum, raised $10M Series A led by Google Ventures to cut costs and speed up software builds.[#item_full_content]
Groww, backed by Satya Nadella, set to become first Indian startup to go public after U.S.-to-India move
Groww’s listing — expected later this year — is set to double as a major cash-out moment for global venture funds.Groww’s listing — expected later this year — is set to double as a major cash-out moment for global venture funds.[#item_full_content]
CodeRabbit raises $60M, valuing the 2-year-old AI code review startup at $550M
The round, which brought the two-year-old startup’s total funding to $88 million, was led by Scale Venture Partners.The round, which brought the two-year-old startup’s total funding to $88 million, was led by Scale Venture Partners.[#item_full_content]
Andrew Yang took inspiration from Mark Cuban for his budget cell carrier Noble Mobile
“I’m as guilty of doomscrolling as the next person, but knowing that doomscrolling is actually costing me money makes me feel dumb,” Yang told TechCrunch.“I’m as guilty of doomscrolling as the next person, but knowing that doomscrolling is actually costing me money makes me feel dumb,” Yang told TechCrunch.[#item_full_content]
Waymo’s Tekedra Mawakana on Scaling Self-Driving Beyond the Hype
Waymo co-CEO Tekedra Mawakana takes the Disrupt Stage at TechCrunch Disrupt 2025 (Oct 27–29, SF) to share the realities of scaling autonomous vehicles — from safety to regulation to the road ahead.Waymo co-CEO Tekedra Mawakana takes the Disrupt Stage at TechCrunch Disrupt 2025 (Oct 27–29, SF) to share the realities of scaling autonomous vehicles — from safety to regulation to the road ahead.[#item_full_content]
When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational and financial budget. Since training a model can amount to millions of dollars, developers need to be judicious with cost-impacting decisions about, for instance, the model architecture, optimizers, and training datasets before committing to a model.When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational and financial budget. Since training a model can amount to millions of dollars, developers need to be judicious with cost-impacting decisions about, for instance, the model architecture, optimizers, and training datasets before committing to a model.[#item_full_content]
