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FLO Released Their Sophomore Album – Therapy At The Club

Wanjiru Waweru, Jadetimes Contributor

W. Waweru is a Jadetimes News Reporter Covering Entertainment News

FLO Released Their Sophomore Album – Therapy At The Club
Image Source: Alex J. Piper

FLO released their Sophomore Album, Therapy At The Club, on August 7, 2026, via Republic Records. Their second album is to recreate the club. It is not only nightlife, but also a site of confession, release, and self-possession around the emotions of the party. It is considered a therapy session. It travels into the dark, blissful R&B and pop with melodic storytelling; this project explores the themes of desire, heartbreak, and healing. It represents their creativity with widespread songwriting and production credits.


The London-based powerhouse vocal trio released their new single, Cry Ugly, on the same day. It features a music video. They showcased and embraced their authenticity. They combined it with a beautiful, glamorous fashion style and outstanding dance choreography.


Watch Cry Ugly – Official Video on YouTube


Stream Therapy At The Club on Apple Music


Therapy At The Club is Now Available via Republic Records


Read Therapy At The Club - Album Review on Pitchfork



FLO Released Their Sophomore Album – Therapy At The Club
Image Source: Republic Records

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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Machine Learning vs. Large Language Models

Ravichandran Harini, Jadetimes Staff

Why They're Not the Same Thing and Why It Matters

A student finishes an assignment with ChatGPT's help and pauses before submitting it: is this "artificial intelligence," or "machine learning," or something else entirely? The terms get used as if they mean the same thing. They don't, and the difference matters more than most people realize.


Part of the confusion is understandable. ChatGPT, Gemini, Claude, and Microsoft Copilot have become the public face of AI, so "AI," "machine learning," and "LLM" now get used interchangeably in everyday conversation, even though each describes something distinct.


Machine Learning is a branch of artificial intelligence that lets computers find patterns in data and make predictions or decisions without being explicitly programmed for every scenario. It powers Netflix's recommendation engine, credit card fraud detection, weather forecasting, medical diagnosis, and the perception systems in autonomous vehicles, applications spanning numbers, images, sound, and structured data.


Large Language Models are a specialized branch of deep learning, itself a subset of machine learning, trained specifically on enormous collections of text. Their breakthrough came from the Transformer architecture, introduced by Google researchers in 2017, which lets a model weigh the relationships between words across long passages rather than processing text word by word. That innovation is what allows LLMs to understand, generate, summarize, translate, and reason about human language with striking fluency.


Think of it this way: if artificial intelligence is a city, machine learning is a university within it, and large language models are one department inside that university, a highly influential department, but not the whole institution.


The two differ in what they're built for. Machine learning models are often narrow specialists trained for one task on one type of data. LLMs are generalists trained on vast, varied text, capable of shifting between writing, coding, and analysis, though prone to their own weakness: confidently generating false information, known as hallucination.


Both are reshaping work and raising real concerns simultaneously. They improve productivity, personalize education, and accelerate scientific research, while raising legitimate questions about bias, privacy, misinformation, and the energy costs of training ever-larger models. Stanford's 2025 AI Index found business adoption of AI reached 78 percent of organizations in 2024, up sharply from 55 percent the year before, alongside record corporate investment exceeding $252 billion.


Understanding this distinction matters because it moves the conversation past marketing buzzwords. The next generation of AI systems will likely blend machine learning, language models, computer vision, and robotics into single systems capable of tackling far more complex, real-world problems.

France Enters Political Turmoil as Pension Reform Protests Return

Nivedita Chakrapani, Jadetimes Staff

Reuters
Reuters

Political instability returned to France today as nationwide protests erupted once again over the government’s controversial pension reform policies. Tens of thousands of demonstrators gathered across Paris, Marseille, Lyon, and other major cities, accusing the government of ignoring public opposition and worsening economic pressure on ordinary workers.


The pension reforms, strongly supported by President Emmanuel Macron, aim to gradually increase the retirement age and restructure public pension financing systems. Government officials argued the reforms are necessary to prevent long-term financial collapse caused by an aging population and rising social welfare costs.


However, labor unions, opposition parties, and student organizations condemned the reforms as unfair and economically damaging, particularly for middle-class workers and physically demanding professions. Protesters argued that rising inflation, housing costs, and stagnant wages have already placed enormous financial pressure on households across the country.


Clashes between demonstrators and police were reported in several areas after protesters blocked transportation routes and attempted to march near government buildings. Security forces deployed tear gas and riot control units in parts of Paris following incidents involving vandalism and confrontations.

Political analysts believe the protests reflect broader public frustration extending beyond pension policy. Issues such as unemployment, immigration, economic inequality, and declining trust in political institutions are increasingly shaping public anger toward the government.


The crisis has also strengthened support for both far-left and far-right political movements, which continue gaining momentum by criticizing mainstream leadership and promising major economic reforms. Experts warned that prolonged unrest could weaken investor confidence and further polarize French politics ahead of future elections.


Despite mounting pressure, Macron’s administration insisted the reforms will continue moving forward, arguing that delaying action would worsen France’s financial challenges in the long term. Analysts warned that unless compromise discussions begin soon, the political conflict could intensify further and trigger even larger demonstrations nationwide.

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