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FLO Released Their New Song – Remedied

Wanjiru Waweru, Jadetimes Contributor

W. Waweru is a Jadetimes News Reporter Covering Entertainment News

FLO Released Their New Song – Remedied
Image Source: Jed Cullen & Dave Benett/Getty Images

FLO released their new song, Remedied, on July 24, 2026, via Republic Records. It is the third single from their sophomore album Therapy At The Club, which is set to be released on August 7, 2026. The song appeared in the Liquid I.V. commercial before its release.


According to Clash, “another preview of the upcoming sophomore LP, ‘Remedied’ is designed to knock you out of your rut – it’s a song about reclaiming your worth, and taps into the trio’s natural effervescence.”


The English-Based trio shared a comment about their recent single.


“‘Remedied’ is for anyone who’s been stuck in a rut; it’s that moment you finally get up, get out, and remember who you are. Consider it your cure,” said FLO. 


The Powerhouse Divas released their Neon-Inspired Fitness Music Video on July 28 with their Playful-Sexy Energy after seeking professional help from a Doctor.


Watch Remedied – Official Music Video on YouTube


Therapy At The Club is set to be released on August 7, via Republic Records



FLO Released Their New Song – Remedied
Image Source: Liquid I.V.

About Wanjiru Waweru


Wanjiru Waweru is a Jadetimes Contributor. You can email Wanjiru at sellmypaperwork@gmail.com.

She is the Owner of “Sell My Paperwork." Visit the website and follow it on social media.


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Before ChatGPT: The Journey That Changed Artificial Intelligence Forever

Ravichandran Harini, Jadetimes Staff

Every day, millions of people open a chat window and ask a machine to draft an email, explain a concept, or generate an image in seconds. ChatGPT, Gemini, and Microsoft Copilot have become as ordinary as a search engine. But how did artificial intelligence suddenly become so powerful, and where did it all begin?


The truth is, it didn't happen overnight. The story starts in 1950, when mathematician Alan Turing asked whether machines could think. Six years later, the Dartmouth Conference formally gave the field its name. For decades, researchers built "expert systems," rule-based programs that could only follow instructions humans explicitly wrote. When those systems hit their limits, funding dried up, ushering in what historians call the AI Winters, long periods when progress nearly stalled.


The thaw came gradually. Machine learning let computers find patterns in data rather than follow fixed rules, and deep learning, modeled loosely on neural networks in the brain, pushed this further. Two ingredients made the difference: the explosion of digital data from the internet, and graphics processing units powerful enough to process it. Then, in 2017, Google researchers introduced the Transformer architecture, a breakthrough that allowed machines to weigh relationships between words across entire passages of text, not just neighboring ones.


This innovation gave rise to Large Language Models, systems trained on vast troves of text to predict language patterns rather than follow programmed rules, allowing them to write, summarize, and reason in remarkably human-like ways. ChatGPT, Gemini, Claude, Copilot, and Meta AI turned this research into everyday tools for students, professionals, and businesses worldwide.


The numbers reflect the pace of change: Stanford's 2025 AI Index found business adoption of AI surged to 78 percent of organizations in 2024, up from 55 percent the year before, alongside $252.3 billion in global corporate AI investment.


Yet this transformation carries real tension. AI boosts productivity, accelerates scientific discovery, and personalizes education and healthcare. At the same time, it raises hard questions about misinformation, bias, privacy, copyright, and the energy demands of massive data centers, pressing issues that regulators and researchers are still working to resolve responsibly.


ChatGPT and its peers are not where artificial intelligence began. They are the culmination of seventy years of research, failure, persistence, and collaboration across continents. The next chapter, autonomous AI agents, multimodal systems that see and hear as well as read, and robotics working alongside humans, is already being written.

The Race for Critical Minerals

Ravichandran Harini, Jadetimes Staff

Why Lithium, Cobalt, and Rare Earth Elements Are Powering the Global Economy

A single electric vehicle battery pack contains roughly eight kilograms of lithium, fourteen kilograms of cobalt, and dozens of kilograms of nickel and graphite, minerals mined from Chilean salt flats, Congolese hillsides, and Indonesian rainforests, then refined thousands of miles away before ever reaching a factory floor. Multiply that by the tens of millions of EVs, wind turbines, and smartphones now rolling off assembly lines each year, and a quiet truth emerges. The clean energy and digital revolutions run not on code alone, but on rock.


Critical minerals, including lithium, cobalt, nickel, graphite, copper, and rare earth elements, are the raw materials behind batteries, magnets, semiconductors, and the data centers powering artificial intelligence. Lithium and cobalt store energy in batteries. Nickel and graphite improve battery density and lifespan. Rare earths like neodymium make wind turbine magnets and smartphone components possible. Demand is surging accordingly. Lithium demand rose by nearly 30% in 2024, while demand for nickel, cobalt, graphite and rare earths increased by 6 to 8%, according to the International Energy Agency's Global Critical Minerals Outlook 2025.


That growth has turned mineral security into a matter of national strategy. Nations are racing to lock in supply through mines, refineries, and trade deals, aware that China currently controls the large majority of the world's critical mineral supply chain. Between 2020 and 2024, roughly $60 billion was invested in Latin American copper and lithium projects, $25 billion in Indonesian nickel, and $15 billion in African cobalt deposits, a wave of capital reshaping global trade routes and manufacturing alliances, from U.S. Australia mineral pacts to EU critical raw materials partnerships with African producers.


Yet the boom carries real costs. Mining and processing strain water resources, disturb ecosystems, and, in places like the Democratic Republic of Congo, where artisanal mining accounts for about 15% of cobalt production, raise persistent human rights concerns. Supply is also dangerously concentrated. Export restrictions from major producers, including China's 2024 curbs on gallium and germanium, have exposed how fragile these chains really are.


Companies are responding. Australia's Pilbara Minerals and America's Albemarle have expanded lithium refining outside China, while the DRC and Zambia have pursued a joint battery supply chain initiative with Western backing to process cobalt and copper locally rather than export raw ore.


Ultimately, the contest for critical minerals is not merely about extraction. It is about who builds the batteries, the grids, and the machines of tomorrow, and on what terms the energy transition unfolds.

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