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Bitcoin Under $60,000: Is the Rally Over? | n-tv.de

by February 21, 2026

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Bitcoin traded below $69,000 on Thursday, February 21, 2026, continuing a months-long decline from its all-time high of $126,000 in October, according to market data.

The cryptocurrency’s recent volatility has prompted debate among investors regarding its near-term prospects. While some anticipate a period of stabilization, even with fluctuations, others are reassessing their positions amid broader macroeconomic uncertainty.

Despite the current downturn, several financial institutions maintain bullish long-term forecasts for Bitcoin. Standard Chartered recently revised its 2026 target from $300,000 to $150,000, citing slower-than-expected institutional buying through exchange-traded funds (ETFs). Bernstein analysts also predict a price of $150,000 by the end of 2026, anticipating $200,000 by the end of 2027.

JPMorgan has also issued a $170,000 price target for Bitcoin in 2026, while Fundstrat’s Tom Lee projects a range of $150,000 to $200,000 in early 2026, potentially rising to $250,000 by year-end. These predictions are based on the expectation of increased institutional inflows and the potential for positive regulatory developments.

The current Crypto Fear & Greed Index stands at 13 out of 100, indicating extreme fear among investors. This level of pessimism could signal a potential bottom, as it suggests widespread investor capitulation, according to some analysts.

ETF inflows totaled $23 billion in 2025, and the passage of stablecoin legislation has positioned the crypto market for greater integration into traditional finance. However, options markets currently price roughly equal odds of Bitcoin trading at $70,000 or $130,000 by mid-2026, and equal odds of $50,000 or $250,000 by year-end, reflecting significant uncertainty about monetary policy and the sustainability of ETF demand.

Some analysts offer more cautious perspectives. Fidelity suggests Bitcoin may face a “year off” within its typical four-year cycle, potentially leading to consolidation between $65,000 and $75,000. Bloomberg Intelligence’s bear case forecasts a decline to $10,000 if liquidity tightens significantly.

The market is currently awaiting further signals from the Federal Reserve regarding potential interest rate cuts, which could trigger a renewed risk-on mentality and drive investment into cryptocurrencies. The outcome of pending crypto legislation later this year is also expected to influence market sentiment.

February 21, 2026 0 comments

Technology

Apple AI Push: New Glasses, AI Clip & Camera AirPods Planned

by Sophie Lin - Technology Editor February 19, 2026

written by Sophie Lin - Technology Editor

Apple is reportedly preparing a significant push into artificial intelligence, aiming to revitalize its position in the rapidly evolving tech landscape. This initiative comes after a somewhat rocky rollout of the Apple Intelligence platform in 2024, where certain features were limited in functionality and the new Siri remained unavailable. The company is now focusing on developing three new products heavily leveraging AI capabilities, with a particular emphasis on wearable technology.

The core of Apple’s strategy appears to be shifting towards AI-powered devices that move beyond traditional displays. Instead of relying on screens, the focus is on integrating cameras, sensors, and audio processing to deliver a more immersive and intuitive user experience. This approach signals a potential departure from Apple’s current product lines and a commitment to exploring new form factors for AI integration.

Smart Glasses Without a Display

According to reports from Bloomberg and other sources, Apple could unveil its first smart glasses as early as late 2026 or early 2027. Unlike the Vision Pro, which offers a mixed-reality experience, these glasses are envisioned as a display-less device. The design will incorporate cameras, microphones, and speakers, with the processing power largely handled by a connected iPhone – a similar architecture to the original Apple Watch in 2015. A separate, longer-term project involving projection technology is also reportedly underway.

A Miniature, AI-Powered Wearable

Apple is also developing a very small, AI-focused wearable, roughly the size of an AirTag. This device, intended to function as a mobile AI assistant operated through voice commands, bears a resemblance to the now-discontinued AI Pin from Humane, which was discontinued after just ten months. The wearable is expected to feature an aluminum and glass enclosure, equipped with sensors including two cameras with different fields of view, microphones, and speakers. Wireless charging via a magnetic back is anticipated, with a potential launch no earlier than 2027.

AirPods with Enhanced Spatial Awareness

Perhaps the most imminent addition to Apple’s AI-driven lineup is a new AirPods model slated for release in 2026. This iteration will incorporate infrared cameras, similar to the Face ID system found in iPhones. This addition would enable air gesture control and more precise spatial positioning, potentially enhancing spatial audio capabilities. Insiders suggest the AirPods will be able to “see around you,” though it remains unclear whether this will be a successor to the AirPods Pro 3 or an entirely new variant. The projected price point is €249, equivalent to approximately $270 USD as of February 19, 2026.

The integration of infrared cameras into the AirPods represents a significant step towards creating more contextually aware audio experiences. The ability to understand a user’s environment and gestures could unlock new possibilities for hands-free control and personalized audio delivery.

Apple’s renewed focus on AI comes at a critical juncture, as competitors like OpenAI continue to push the boundaries of generative AI. The company’s success will depend on its ability to seamlessly integrate AI into its existing ecosystem and deliver compelling new experiences that differentiate its products. The development of these three new devices – smart glasses, a miniature AI wearable, and AI-enhanced AirPods – signals a clear commitment to that goal.

Looking ahead, the next key checkpoint will be the unveiling of the new AirPods model in 2026, followed by the anticipated launch of the smart glasses in late 2026 or early 2027. The success of these products will likely shape Apple’s AI strategy for years to come, and will be closely watched by both the tech industry and consumers alike.

What are your thoughts on Apple’s AI plans? Share your comments below and let us know what features you’d like to see in the next generation of Apple devices.

February 19, 2026 0 comments

Technology

Google Lyria 3: AI Music Generator Now Available to All Users

by Sophie Lin - Technology Editor February 19, 2026

written by Sophie Lin - Technology Editor

Google is expanding the creative capabilities of its Gemini app with the launch of Lyria 3, a new AI-powered music generator. The tool allows users to create 30-second musical tracks from text prompts, images, and even videos, complete with vocals and instrumentals. This marks a significant step in making AI-driven music creation accessible to a wider audience, moving beyond specialized platforms and into a mainstream application.

Lyria 3, developed by Google DeepMind, represents the company’s most advanced music generation model to date. The integration into Gemini aims to empower users to express themselves through music in novel ways, whether it’s crafting a soundtrack for a social media post, generating a jingle for a presentation, or simply exploring musical ideas. The rollout, beginning February 18, 2026, is available globally in English, Japanese, Korean, Hindi, Spanish, Portuguese, German, and French for users aged 18 and over.

Unlike previous iterations, Lyria 3 is now directly accessible within the Gemini app, eliminating the need for access through platforms like Google Cloud’s Vertex AI or limited beta programs for YouTubers. This broader availability signals Google’s confidence in the technology and its potential for widespread adoption. Users can simply select the “Create music” option within the Gemini app to begin experimenting with the tool, as detailed in a Google Workspace blog post.

How Lyria 3 Works

The process is designed to be intuitive. Users provide a text prompt describing the desired music – specifying genre, mood, or even a narrative – and Lyria 3 generates a corresponding track. Alternatively, users can upload an image or video, and the AI will create music inspired by the visual content, even generating lyrics to match the scene. Google’s “Nano Banana” model then automatically creates cover art to accompany the track. This capability mirrors the functionality of AI image generators like OpenAI’s DALL-E, but applied to the realm of audio, as noted in Times Now News.

The generated tracks are 30 seconds in length, a deliberate choice that encourages quick creation and sharing. Users can then download or share their creations directly from the Gemini app to various platforms. According to Google’s Lyria 3 overview page, the tool is designed to “make it, hear it, share it,” emphasizing its ease of use and social sharing potential.

Addressing Creative Concerns

While Google emphasizes that Lyria 3 is designed to foster “original expression” and avoid imitating existing artists, the emergence of AI music generators inevitably raises questions about copyright and the potential impact on the music industry. The source material used to train these models is a growing area of legal scrutiny, and it remains to be seen whether further legal challenges will arise regarding the use of copyrighted material in AI training datasets. The German-language publication pte.at notes this potential for legal challenges, highlighting the ongoing debate surrounding AI and artistic creation.

Administrators controlling access to the Gemini app within Google Workspace environments can manage music generation through existing Generative AI settings in the Workspace Admin console. This allows organizations to maintain control over the use of AI tools within their environments.

What’s Next for AI-Generated Music?

The launch of Lyria 3 represents a significant step forward in the democratization of music creation. As AI models continue to improve, we can expect even more sophisticated tools that empower individuals to express their creativity through music, regardless of their musical training or experience. The ongoing development of these technologies will likely continue to spark debate about the role of AI in the arts and the future of copyright law. The integration of AI music generation into widely used applications like Gemini suggests that this technology is poised to become increasingly prevalent in the coming years.

What are your thoughts on AI-generated music? Share your opinions in the comments below!