Perplexity AI's free Deep Research
China’s ChatGPT moment
Bill Gates's biography "My Beginnings"
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Perplexity AI's free Deep Research
Perplexity AI Deep Research wants to save you hours of time by conducting in-depth research and analysis on your behalf. When you ask a Deep Research question, Perplexity performs dozens of searches, reads hundreds of sources, and reasons through the material to autonomously deliver a comprehensive report. It excels at a range of expert-level tasks—from finance and marketing to product research. Scores second best after OpenAI Deep Research($200/mo) on Humanity’s Last Exam. Perplexity AI excels in speed and accessibility for casual researchers. OpenAI dominates in analytical depth for enterprise applications. Google integrates most seamlessly with existing productivity ecosystems.
Perplexity’s Deep Research also seems to perform more quickly, completing most tasks in under three minutes compared to 5 to 30 minutes for OpenAI Deep Research. To use it, you just select “Deep Research” from a drop-down menu when you submit your query in Perplexity, which will then create a detailed report that can be exported as a PDF or shared as a Perplexity Page. Deep Research excels at creating work artifacts in domains including finance, marketing, and technology, and is equally useful as a personal consultant in areas such as health, product research, and travel planning. Here are a a few examples of how you might use Deep Research on Perplexity....
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China’s ChatGPT moment
Little is known about DeepSeek, whose founder Liang Wenfeng became a billionaire through his quantitative hedge fund High-Flyer(based on the book about US hedge fund Renaissance Technologies). Liang, who was described by a former employer as "low-key and introverted," has not spoken to any media since July 2024. Reuters interviewed a dozen former employees, as well as quant fund professionals knowledgeable about the operations of DeepSeek and its parent company High-Flyer. It also reviewed state media articles, social-media posts from the companies and research papers dating back to 2019.
Liang was born in 1985 in a rural village in the southern province of Guangdong. He later obtained communication engineering degrees at the elite Zhejiang University. One of his first jobs was running a research department at a smart imaging firm in Shanghai. His then-boss, Zhou Chaoen, told state media on Feb. 9 that Liang had hired prize-winning algorithm engineers and operated with a "flat management style." At DeepSeek and High-Flyer, Liang has similarly shunned the practices of Chinese tech giants known for rigid top-down management, low pay for young employees and "996" - working from 9 a.m. to 9 p.m. six days a week.
Liang opened his Beijing office within walking distance of Tsinghua University and Peking University, China's two most prestigious education institutions. He regularly delved into technical details and was happy to work alongside Gen-Z interns and recent graduates that comprised the bulk of its workforce, according to two former employees. They also described usually working eight-hour days in a collaborative atmosphere. "Liang gave us control and treated us as experts. He constantly asked questions and learned alongside us," said 26-year-old researcher Benjamin Liu, who left the company in September. "DeepSeek allowed me to take ownership of critical parts of the pipeline, which was very exciting." Liang did not respond to questions sent via DeepSeek.
While Baidu and other Chinese tech giants were racing to build their consumer-facing versions of ChatGPT in 2023 and profit off of the global AI boom, Liang told Chinese media outlet Waves last year that he deliberately avoided spending heavily on app development, focusing instead on refining the AI model's quality. Both DeepSeek and High-Flyer are known for paying generously, according to three people familiar with its compensation practices. At High-Flyer, it is not uncommon for a senior data scientist to make 1.5 million yuan annually, while competitors rarely pay more than 800,000, said one of the people, a rival quant fund manager who knows Liang. The largesse was funded by High-Flyer.
DeepSeek's success with a low-cost AI model is based on High-Flyer's decade-long and substantial investment in research and computing power, three people said. The quant fund was an earlier pioneer in AI trading and a top executive said in 2020 that High-Flyer was going "all in" on AI by re-investing 70% of its revenue, mostly into AI research.
DeepSeek had not been established at that time, so the accumulation of computing power caught the attention of Chinese securities regulators, said a person with direct knowledge of officials' thinking. "Regulators wanted to know why they need so many chips?" the person said. "How they were going to use it? What kind of impact would that have on the market?" Authorities decided not to intervene, in a move that would prove crucial for DeepSeek's fortunes. Two former employees attributed the company's success to Liang's focus on more cost-effective AI architecture….
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Bill Gates's biography "My Beginnings"
Take the evolution of technology in the decades since he began Microsoft and made it one of the world’s most valuable companies. “Incredible things happened because of sharing information on the internet,” Mr. Gates said. That much he anticipated.
Mr. Gates is a techno-optimist but he has limits, like cryptocurrency. Does it have any use? “None,” he said. “There are people with high I.Q.s who have fooled themselves on that one.” Even artificial intelligence, which Mr. Gates has spoken of enthusiastically, and which Microsoft is heavily invested in, produces a few qualms. “Now we have to worry about bad people using A.I.,” he said. Mr. Gates, who turns 70 this year, is looking back a lot these days. He is publishing “Source Code: My Beginnings,” which examines his childhood. The first of three projected volumes of memoirs, the book has been in the works for at least a decade but arrives at an unusual moment, as the tech billionaires have been unleashed.
Thirty years ago, Mr. Gates created the model for the in-your-face tech billionaire. Microsoft in the 1990s supplied the operating system for the personal computers that were increasingly in every home and office, and the company had big plans for this new thing called the web. Mr. Gates and his company were perceived as powerful, ruthless and ubiquitous. “In India, Japan, China, the American dream is a vaunted thing, of which I am sort of an example,” Mr. Gates said….