Ukraine Continues to Implement COVID-19 Electronic Passports.


Airbnb founder Joe Gebbia, who holds a position in the Department of Government Efficiency led by Elon Musk, aims to digitize the retirement process for government officials, calling the current system an 'injustice to public servants.'
'This will be an online digital process that will take just a few days... it is an injustice to public servants who are subjected to these procedures,' Gebbia said during an exclusive interview with 'Special Report' on Thursday. Gebbia joined Musk and six other members of the DOGE team to shed light on the department's mission to reduce costs with executive editor Bret Baier.In his speech, Gebbia stated that he aims to transform the paper-based retirement process for federal employees into a system that only takes a few days. He mentioned that the outdated system, in its current state, takes months.
Gebbia said that in Pennsylvania, there is a mine where all the paper documents from the retirement process for government officials are stored. 'This giant cave has 22,000 cabinets for archival documents, placed at a height of 10 floors to store 400 million sheets of paper,' he said, adding that the process started in the 1950s and has mostly not changed over the past 70 years.
'We truly believe that the government can have an experience like an Apple store. Well-designed, user-friendly, modern systems,' he continued.
MUSK SAYS DOGE CUTS ARE NECESSARY OR 'THE SHIP OF AMERICA WILL SINK'
His efforts are part of DOGE's overall goal to eliminate 'waste and fraud' in the federal government. On Thursday, Musk stated that DOGE plans to reduce government spending by at least 15%, which he believes is 'quite achievable.'
Musk previously stated that the national debt is so large that interest payments exceed the entire military budget, and DOGE is necessary to prevent the country from plunging into bankruptcy.
Shortly after Donald Trump was inaugurated as president, he gave Musk's organization 18 months to organize government operations and reduce costs.
Since then, the department has canceled numerous diversity, equity, and inclusion initiatives within federal government agencies, consulting contracts, leases of unused government buildings, and duplicative agencies and programs.
As of March 28, DOGE claims on its website that through a combination of asset sales, contract/lease cancellations and negotiations, fraud and improper payment removals, grant cancellations, interest savings, program modifications, economic efficiencies, and workforce reductions, they have saved Americans $130 billion or $807.45 per taxpayer.
However, alongside these cuts come challenges. Some judges have already called for the reinstatement of probation staff in dozens of agencies that were cut. Last week, two judges issued consecutive rulings that would effectively reinstate workers from 24 agencies.
Musk's work with DOGE has also triggered protests against opponents, who in some cases targeted Tesla, the car manufacturer for which he is CEO. In these instances, acts of vandalism have been directed at individual Tesla owners as well as dealership centers and charging stations of the automaker.
Lawmakers have also expressed some outrage. Senator Lisa Murkowski, R-Alaska, also posted in X this month that employees of the U.S. Agency for International Development in Alaska reported to her 'ambiguous and indifferent attitudes toward personnel issues at ODM and DOGE' and 'painted a very worrying picture of what the world looks like without humanitarian assistance from the United States.'
FOX Business reporter Eric Revell also contributed to this reporting.
Read also
- Another country has included the Ukrainian language in the official list of languages
- Translated into Ukrainian and excessive details absent
- Coronavirus in Ukraine: new cases reported over the last day
- Meat production is rising in Ukraine
- Yesterday, the President of Italy refused to sign the budget laws, which will lead to a government crisis
- The Ukrainian language is added to the translation by neural networks