Elon Musk is still laying off Twitter employees as dozens of workers across sales and engineering departments were laid off last week, including one of Musk's direct reporting executive who was managing engineering for Twitter's ads business. It means that the new Twitter CEO has done at least three rounds of layoffs, as per media reports. This is happening despite his promise not to sack more employees after his brutal layoff exercise in November that affected two-thirds of the micro-blogging platform's 7,500 employees.
At a meeting with employees, Musk had claimed that Twitter is now actively hiring for positions in engineering and sales. He also asked the staffers to recommend potential candidates.
However, Musk is sacking employees every now and then.
Twitter has also shut down two of its three India offices and directed its employees to work from home, as part of Elon Musk's mission to cut costs and turn the struggling social media service profitable. Twitter closed its offices in New Delhi and Mumbai.
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In November last year, Musk fired more than 90 per cent of its staff in India, numbering at over 200.
Musk has also given a directive internally to revamp how ads are targeted in Twitter's main feed within a week.
However, Marcin Kadluczka, the laid-off engineering manager for monetisation who reported directly to Musk, tweeted this is not possible.
"I believe Twitter can really improve ads in 2-3 months (no necessarily in a week though)," Kadluczka posted, as reported by The Verge.
Furthermore, Musk on Wednesday said that Twitter will make its algorithm "open source" next week, and improve it "rapidly."
When Musk tweeted, "Say what you want about me, but I acquired the world's largest non-profit for $44B lol."
One user commented, "Right. Now open source it, then we'll be truly impressed."
"Prepare to be disappointed at first when our algorithm is made open source next week, but it will improve rapidly!" Twitter CEO replied.
Last week, Musk had said that the micro-blogging platform will provide users the ability to adjust the algorithm to their "closer match", in the "coming months".
(With inputs from IANS)
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