Happy Sunday and welcome to the weekend edition of Inside AI. I'm Rob May, CEO at Talla. If you enjoy the newsletter, I hope you will check out my company as well. Also be sure to check out our AI at Work podcast.
Let's get started with the most popular articles from the past week:
Engineer.ai CEO Sachin Dev Duggal has responded to complaints that the company exaggerated its AI abilities to attract customers and investors. In a new statement, Duggal denied the allegations and claimed that the mobile-app startup has historically preferred the term "human-assisted AI" rather than “automated software development." The rebuttal comes after The Wall Street Journal reported that Engineer.ai does not use AI to assemble code but relies on human engineers in India and elsewhere. Its chief business officer, who sued the startup earlier this year, claims Duggal “was telling investors that Engineer.ai was 80 percent done with developing a product that, in truth, he had barely even begun to develop.” Duggal claims his team never got a chance to explain the issues, even offering to meet with the WSJ six times, before the report came out. "Many of our answers, which dispelled several of the allegations, were excluded from the reporting," he wrote. - ENGINEER.AI
Scale AI's founder, 22-year-old Alexandr Wang, spoke with Business Insider about his ambitions for the company, including plans to turn the data-labeling startup into the infrastructure for ML technology. Wang's startup, which has caught the attention of some of Silicon Valley's top investors, recently raised $100 million in series C funding round, which valued the three-year-old company at $1 billion. Wang himself is a phenom, excelling at coding competitions and receiving job offers while still in high school before dropping out of MIT to build the startup. The firm's software tools do the initial task of labeling pictures before they're sent off to contractors. - BUSINESS INSIDER
During the Hot Chips conference on Tuesday, Tesla chip designers showed how the company's AI chips are dramatically better in performance compared to the earlier Nvidia chips. The fine-tuned AI chips - which have 6 billion transistors apiece - are "smart" enough to power Tesla's full self-driving abilities in the future, according to the company. Their performance has improved by a factor of 21, compared to the earlier Nvidia chips. Ganesh Venkataramanan, one of the chip designers and a former AMD processor engineer, said that in order to meet "performance levels at the power constraints and the form factor constraints we had, we had to design something of our own." The chips, optimized for self-driving cars, run at 2GHz and perform 36 trillion operations a second. - CNET
A suspect was arrested in China after trying to scan his a dead girlfriend's face using facial recognition software. The man, from southeast China, reportedly strangled his partner following an argument and then attempted to use the woman's identity to apply for a loan. The online lending company, Money Station, requires users to verify their identities via a facial recognition AI. The verification failed because the AI did not detect the woman's eye movement and detected a man's voice rather than a woman's. Workers who manually checked the failed verification reported the incident. - GIZMODO