WSJ: “Clipping, the marketing tactic of paying armies of people to cut longer videos into short viral clips, has inspired debate over how real popularity on TikTok or Instagram is. When they don’t disclose their identities or the paid nature of their work, clippers leave others to guess whether a band, politician or influencer is really as crowd-pleasing as they seem. But for many marketers, clipping is just one more way to catch consumers’ shrinking attention and to squeeze every drop of value from a piece of content…Clipping is a new name “for something good marketers have always done: Meet people where the energy is at. Show the recap. Show the blooper reel,” said Zaria Parvez, director and head of social at DoorDash.”
Satya Nadella: “Companies need to turn their workflows, domain knowledge, and accumulated judgment into AI systems that improve with each use. Private evals should capture whether a model is actually improving against outcomes that matter to the business (not just external benchmarks!). Private reinforcement learning environments should let models grow stronger on real traces from inside the organization. Its knowledge base makes institutional memory queryable and use of tokens more efficient. This loop becomes the new IP of the firm.”
Business Standard: “India’s fertility rate has fallen below replacement level, but the bigger question is whether the economy can create enough jobs and raise productivity before ageing pressures build…India’s demographic arithmetic remains favourable. But the nature of the demographic dividend is changing. The next phase will depend less on how many people enter the workforce and more on whether they can find productive work, acquire relevant skills and generate higher output.”
NYTimes: “For more than two decades, Farid, 60, had been the world’s leading expert in the field of digital forensics, but in the last six months he’d stopped trusting his own eyes. He’d made a career of differentiating visual reality from deepfakes as he fielded requests each day from governments, human rights organizations, journalists, law enforcement and thousands of others who were increasingly confused and deceived by the online world. Farid’s own research had proven that most people could no longer distinguish a real photograph from a digital creation, a real voice from an A.I. clone, a real video clip from a wholesale fabrication. Lately, he was failing his own tests. “I feel like I’m going blind,” Farid said, and he worried that A.I. was obscuring the truth, distorting reality, fracturing democracies and slowly breaking him, too.”
