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We encouraged voting for Obi to reduce Atiku’s votes – Wike on G5 strategy

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FCT Minister Nyesom Wike has rejected claims that he manipulated the 2023 presidential election in Rivers State and other parts of the South-South to help President Bola Tinubu defeat Labour Party candidate Peter Obi.

Wike spoke on Wednesday while addressing journalists in Abuja, saying the allegations were based on a false story spread mainly on social media.

The minister had earlier sparked controversy during an interview on TVC’s Journalists’ Hangout, where he said the G5 governors used a political strategy that helped Obi gain votes in some parts of the South-South.

Some opposition politicians and commentators interpreted the remarks as an admission that the election had been manipulated.

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Wike, however, said that was not what he meant. He explained that the G5 had adopted a strategy to reduce the influence of Atiku Abubakar, the presidential candidate of the Peoples Democratic Party, rather than rig the election.

Responding to claims that he personally changed election results to favour Tinubu, Wike questioned how one person could manipulate results from thousands of polling units.

“People who don’t understand, how can they say I rigged the election? How would I have done it? So, I just took the result sheets, wrote it, and gave it to INEC?” he asked.

Wike also dismissed the idea that social media trends could accurately determine the winner of a nationwide election.

“I’ve always said social media does not win elections. You have about 176,000 polling units, and probably you have seen 300 polling units and then you rush to the conclusion that so-and-so has won,” he said.

According to him, the opposition also failed to prove in court that the election results from Rivers State had been manipulated.

“We felt that Atiku was more of a factor in that election than Obi. So our strategy was that, make sure that you vote for Obi to win in order to deny Atiku the votes,” he said.

Wike maintained that the strategy was successful and said political discussions about the 2023 election should be based on actual results rather than social media claims.

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NPF Pensions Rolls Out Support Programmes for Retired Police Officers

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NKECHI NAECHE-ESEZOBOR—Retirement should not mark the start of fresh hardship for police officers who devoted their working lives to safeguarding the public, yet questions about pension adequacy, gratuity payments and the general welfare of retirees continue to feature in conversations on police welfare.

With Police Pension Week underway, the Nigeria Police Force Pensions Board says it is working to strengthen its services and tackle some of the difficulties confronting both serving and retired officers.

The agency says that, in addition to routine pension payments, it runs a Retirement and Resettlement Support Programme designed to help retirees cope while their retirement benefits are being processed.

It also holds pre-retirement seminars that prepare officers for life after service, offering training in areas such as poultry farming and other small-scale ventures.

According to the agency, these efforts are intended to give retired personnel better financial footing and ease their transition from active duty to civilian life.

The post NPF Pensions Rolls Out Support Programmes for Retired Police Officers appeared first on Business Today NG.

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Robot data startup Mecka AI nabs $60M from Sequoia

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Mecka AI, a startup that collects and analyzes human motion data to train humanoid robots and other kinds of robots, announced it has raised a $60 million Series B round led by Sequoia, with participation from Nvidia, Microsoft’s venture fund M12, and others. TechCrunch had previously reported that the startup was nearing a new funding round at a $500 million valuation.

Founded in 2024, the startup intends to do for robotics what Scale AI, Mercor, Surge, and other data-labeling companies have done for LLMs. Those companies supply the human-generated data these systems learn from. Mecka pays people to record themselves doing everyday tasks, like making coffee or fixing cars, while wearing body sensors and using smartphones.

Other startups that collect real-world data for robot training include XDOF, which was in talks to raise a Series B round at a $1.2 billion valuation according to TechCrunch’s previous reporting. Human-data platforms that began with LLMs are also expanding into robotics, such as Scale AI and Micro1.

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