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’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]
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]
“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 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.Computer Sciences[#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]
The parents of teenagers who killed themselves after interactions with artificial intelligence chatbots are planning to testify to Congress on Tuesday about the dangers of the technology.The parents of teenagers who killed themselves after interactions with artificial intelligence chatbots are planning to testify to Congress on Tuesday about the dangers of the technology.Internet[#item_full_content]
Figure raised more than $1 billion in a Series C round led by Parkway Venture Capital in addition to numerous other investors.Figure raised more than $1 billion in a Series C round led by Parkway Venture Capital in addition to numerous other investors.[#item_full_content]
Everyone hates traffic. Big cities in particular are plagued by an overabundance of vehicles, turning a simple crosstown jaunt into an odyssey during rush hour. Part of the problem is that traffic is incredibly complex, and a small change in one part of the system can have ripple effects that alter traffic patterns throughout a city. City planners attempting to improve local traffic grids can often struggle to foresee all the effects their changes could have.Everyone hates traffic. Big cities in particular are plagued by an overabundance of vehicles, turning a simple crosstown jaunt into an odyssey during rush hour. Part of the problem is that traffic is incredibly complex, and a small change in one part of the system can have ripple effects that alter traffic patterns throughout a city. City planners attempting to improve local traffic grids can often struggle to foresee all the effects their changes could have.[#item_full_content]
