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Reading: Political parties split on Ramaphosa’s State of the Nation address – The Mail & Guardian
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African News Herald > Blog > Politics > Political parties split on Ramaphosa’s State of the Nation address – The Mail & Guardian
Politics

Political parties split on Ramaphosa’s State of the Nation address – The Mail & Guardian

ANH Team
Last updated: February 15, 2025 12:44 am
ANH Team
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President Cyril Ramaphosa delivered his State of the Nation address (Sona) to mixed reviews, with some praising his emphasis on national unity and standing up to criticism from the United States, while others criticized the lack of detail and accountability in his speech.

Economic Freedom Fighters leader Julius Malema was quick to point out the absence of a clear plan and accountability in Ramaphosa’s address. Malema criticized the President for making promises without outlining how they would be fulfilled, particularly in terms of job creation and infrastructure development.

On the other hand, Good secretary general Brett Herron commended Ramaphosa for providing more details on the government’s economic recovery plans. However, he expressed disappointment in the lack of clarity on implementing a basic income grant, a long-debated financial support system for poor South Africans.

Freedom Front Plus chief whip Corné Mulder found the speech repetitive and lacking in new ideas, echoing sentiments shared by Rise Mzansi leader Songezo Zibi. Zibi emphasized the importance of Finance Minister Enoch Godongwana’s upcoming budget speech in determining the feasibility of Ramaphosa’s promises.

Despite the mixed reviews, Ramaphosa’s firm stance against the misinformation campaign that led to backlash from the United States was widely applauded. He reaffirmed South Africa’s commitment to policies of racial redress and diversity, despite criticism from President Donald Trump.

However, uMkhonto weSizwe party deputy president John Hlophe found the overall address uninspiring and boring, calling for more focus on addressing poverty, inequality, and housing. ActionSA chief whip Lerato Ngobeni also raised concerns about the lack of implementation indicators for the promises made in the speech.

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Build One South Africa leader Mmusi Maimane rated the speech six out of 10, highlighting the absence of timelines and criticizing the 3% economic growth target as insufficient to tackle unemployment. Democratic Alliance leader John Steenhuisen, on the other hand, proudly claimed that his party’s policies influenced government initiatives at all levels.

In conclusion, President Cyril Ramaphosa’s State of the Nation address sparked a range of reactions from political leaders, highlighting both praise for his stance on national unity and criticism for the lack of detail and accountability in his promises. The upcoming budget speech will be crucial in determining the feasibility of the government’s economic recovery plans. The field of artificial intelligence (AI) is rapidly evolving, with new breakthroughs and applications being developed every day. From self-driving cars to virtual assistants, AI is changing the way we live and work. One of the most exciting developments in AI is the use of machine learning algorithms to improve the efficiency and accuracy of various tasks.

Machine learning is a subset of AI that involves giving computers the ability to learn from data without being explicitly programmed. This allows machines to identify patterns and make decisions based on the information they receive. Machine learning algorithms are being used in a wide range of applications, including healthcare, finance, and marketing.

In healthcare, machine learning algorithms are being used to analyze medical images, predict patient outcomes, and even assist in drug discovery. By analyzing large amounts of data, these algorithms can identify patterns that may not be apparent to human doctors, leading to more accurate diagnoses and treatment plans.

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In finance, machine learning algorithms are being used to detect fraud, predict market trends, and optimize investment strategies. These algorithms can analyze vast amounts of financial data in real-time, helping companies make better decisions and reduce risks.

In marketing, machine learning algorithms are being used to personalize advertising, recommend products to customers, and optimize marketing campaigns. By analyzing customer behavior and preferences, these algorithms can deliver targeted messages that are more likely to resonate with consumers.

Overall, machine learning is revolutionizing the way we use AI by allowing machines to learn from data and improve their performance over time. As these algorithms become more sophisticated and powerful, we can expect to see even more exciting applications in the future. Whether it’s improving healthcare outcomes, making better financial decisions, or delivering more personalized marketing messages, machine learning is shaping the future of AI.

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