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Tesla Launches In India With Its First Experience Center

by THEFUTURE.TEAM

July 17, 2025

Tesla has officially entered one of the world’s largest automotive markets by launching its first Experience Center in India. Nearly a decade after CEO Elon Musk initially hinted at an Indian debut in 2016, the automaker is now poised to tap into a burgeoning market amid evolving industry dynamics and competitive pressures.

Strategic Market Entry

Located in the Maker Maxity Mall in Mumbai’s Bandra Kurla Complex, Tesla’s 4,000-square-foot center offers Indian customers a firsthand look at its Model Y variants. The showroom showcases both the rear-wheel drive (RWD) and the long-range RWD models, imported from Tesla’s Shanghai facility. With the Model Y RWD priced at approximately ₹59.89 lakh (around $68,000) and the long-range variant at ₹67.89 lakh (nearly $79,000), the company also presents a full self-driving option for an additional ₹600,000 (approximately $7,000).

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Competitive Pricing And Infrastructure Expansion

Indian buyers can now place orders for the Model Y by paying a non-refundable deposit of ₹22,220 (roughly $260) in key regions including Delhi, Gurugram, and Mumbai. Deliveries for the RWD version are slated for Q3, while the long-range model is expected to hit the roads in Q4. Tesla’s commitment to customer experience is underscored by the planned rollout of four charging stations in Mumbai and Delhi, which will include both Supercharger posts and destination chargers. Moreover, a second retail outlet is scheduled to open in Delhi later this month, signaling an aggressive expansion strategy.

Market And Regulatory Context

India, the fourth-largest automotive market globally, produces nearly 6 million vehicles annually, yet its electric vehicle (EV) segment remains in its nascent stages, largely dominated by two-wheelers. With government targets aiming for a 30% electric vehicle share by 2030, Tesla’s entry comes at a pivotal time. Earlier discussions between Musk and top Indian officials, including Prime Minister Narendra Modi, as well as recent diplomatic engagements, indicate strong governmental interest in fostering EV growth. Tesla’s decision to import vehicles from its Berlin facility, contingent on the finalization of the India-EU free trade agreement, further highlights the strategic evolution of its India operations.

Global Challenges And Future Outlook

While Tesla strengthens its foothold in India, the company faces significant headwinds in major markets such as China, Europe, and the United States. In China, despite a 16% year-over-year increase in EV sales from its locally manufactured lineup, Tesla’s market share has begun to wane in the face of intensifying competition, notably from domestic rival BYD. Similar underperformance is evident in Europe and the U.S., where quarterly delivery declines have amplified competitive pressures. Nonetheless, Tesla’s resilient outlook, bolstered by tailored expansion initiatives in India, underscores its long-term commitment to navigating a complex global automotive landscape.

Tesla’s multifaceted approach in India—balancing direct consumer engagement, infrastructural investments, and adaptive pricing strategies—positions the company not only as a leader in automotive innovation but also as a catalyst for the country’s broader electric revolution.

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Meta Unveils Muse Wonder Models In A Bid For Frontier AI Leadership

by THEFUTURE.TEAM

October 13, 2026

Meta has introduced two new AI models, Muse Wonder and Muse Wonder Full, signalling a more ambitious move into frontier AI. The releases build on Muse Spark but target more demanding tasks, including coding, while placing greater emphasis on long-term memory and personalised assistance.

Larger Models Target More Demanding Tasks

Unlike Muse Spark, which was designed for low latency and lightweight use, Muse Wonder and Wonder Full are significantly larger and, according to Meta, more capable. The company reports stronger benchmark performance and improvements on demanding workloads, including coding.

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According to Meta’s model card, both models achieved benchmark results comparable to Fable 5.1 and GPT-6 Astra in the company’s internal testing. Meta described the release as “the next step on our scaling ladder and a major leap toward personal superintelligence” in its announcement.

Pricing Reflects Meta’s Frontier Ambitions

The models’ pricing places them in the premium AI segment. Through the Meta Model API, Muse Wonder will cost $4 per million input tokens and $20 per million output tokens, putting it in a similar pricing tier to GPT-6 Sol and Opus 5.5.

Muse Wonder Full, by contrast, will not be offered through the API. Meta says it will be exclusive to Muse Code subscribers, tying access to its most advanced model to a premium product. Both models will also power the Muse agent.

Long-Term Memory Takes Centre Stage

Meta is increasingly positioning its AI strategy around assistants that can support users over time rather than respond only to individual prompts. A central part of that approach is what the company calls “active memory”: the ability to retain, organise and synthesise information provided by users across extended periods.

Meta points to the MemoryBench benchmark, which evaluates systems designed for continual learning and memory construction. The company says Muse Wonder now outperforms Fable, Opus and Astra on this measure.

“We put a tremendous amount of effort into making sure your model can remember what’s important to you over days, weeks, months, and beyond,” research scientist Kavya Kopparapu said in a launch video.

New Models Follow Meta’s AI Reorganisation

The launch is also significant within Meta’s broader AI strategy. It is the company’s first frontier-model release since Scale AI founder Alexandr Wang reorganised its AI operations in August 2025. Meta has since introduced Muse Spark and the Muse agent, while making fewer high-profile model announcements than competitors such as OpenAI and Anthropic.

The new models were trained at Meta’s Prometheus data centre in central Ohio, which came online earlier in 2026, according to the company. The facility highlights the growing importance of infrastructure in the race to develop advanced AI systems, where performance depends not only on algorithms and data but also on computing capacity, data-centre investment and access to capital.

As competition intensifies, Muse Wonder and Wonder Full represent a broader bet on larger models, persistent memory and premium AI products. Their longer-term significance will depend on how their reported capabilities translate into real-world performance and whether users find enough value to pay for access.