Tesla’s New Roadster Powered by SpaceX Thrusters Set for October Reveal

Tesla has officially confirmed that the long-delayed next-generation Roadster will be unveiled on October 1, 2026, with the event expected to take place at SpaceX’s McGregor, Texas facility. The car may feature SpaceX-developed cold gas thrusters, potentially allowing hovering demonstrations, though production timelines remain unconfirmed.

To recall, a Tesla Roadster was launched into space aboard a Falcon Heavy rocket in 2018, orbiting the Sun — a marketing and engineering spectacle.It remains a benchmark for EV innovation, blending sustainability with extreme performance.

SpaceX’s cold gas thruster is a propulsion system that uses compressed, super‑chilled gas expelled through nozzles to generate short, powerful bursts of thrust without combustion. It’s lightweight, reliable, and originally designed for spacecraft attitude control, now being adapted for Tesla’s Roadster as a performance enhancer.

Key Highlights of the October 1 Roadster Reveal

• Event Date & Venue: October 1, 2026, likely at SpaceX’s McGregor, Texas test facility.
• Livestream: Tesla will livestream the event via its official site, YouTube, and X (Twitter).
• Design Inspiration: Early concepts hinted at SR-71 Blackbird styling, but the final look leans toward a modern sports car aesthetic.
• Performance Claims:
  - 0–60 mph in under 2 seconds (possibly 1.1s with thrusters).
  - Range target: 620 miles (999 km) per charge.
  - Top speed: 250+ mph.
• Variants Expected:
  - Road-legal version with extreme EV performance.
  - Flying demo version using cold-gas thrusters (not road-legal).
• Production Timeline: Still unconfirmed; Musk has hinted manufacturing may be at least 12–18 months away.

Roadster Evolution Timeline

2017 Concept	2020 Target	2026 Reveal
Shown at Tesla Semi launch	Original delivery target	October 1, 2026 unveiling
Promised 0–60 mph in 1.9s	Missed due to delays	Thruster-assisted demo possible
620-mile range claim	No production	Livestreamed global event

Risks & Challenges

• Feasibility Doubts: Cold-gas thrusters may be difficult to integrate safely into a consumer EV.
• Noise & Safety: Thrusters produce extreme noise; demonstrations will occur without passengers, with spectators kept at a distance.
• Production Delays: Tesla has repeatedly postponed Roadster timelines since 2017, raising skepticism about delivery dates.
• Stock Impact: Tesla shares dipped 1.7% after the announcement, reflecting investor caution.

What to Watch Next

• Livestream details for October 1.
• SpaceX thruster integration and whether it’s practical beyond demos.
• Production timeline announcements—critical for reservation holders.
• Pricing updates, expected to be in the supercar range (£150,000–£185,000).

The Tesla Roadster has a fascinating journey that reflects the evolution of electric vehicles. The first generation, launched in 2008, was built on a modified Lotus Elise chassis and became the world’s first production car powered by lithium‑ion batteries. It achieved over 200 miles of range per charge and proved that electric cars could be fast, stylish, and practical, with about 2,450 units sold before production ended in 2012.

In 2017, Tesla unveiled the second‑generation Roadster concept during the Semi launch event. This version promised groundbreaking performance, including a 0–60 mph time of 1.9 seconds, a 620‑mile range, and a top speed exceeding 250 mph. Its futuristic design with a removable glass roof symbolized Tesla’s ambition to redefine supercar standards through electric innovation.

By 2020, Elon Musk announced a collaboration with SpaceX to integrate cold gas thrusters derived from Falcon 9 rocket technology. These thrusters were envisioned to enhance acceleration, maneuverability, and even enable hovering demonstrations. The official unveiling of this thruster‑equipped Roadster is scheduled for October 1, 2026.

Culturally, the Roadster became an icon of the electric revolution. In 2018, one was launched into space aboard a Falcon Heavy rocket, orbiting the Sun as both a marketing spectacle and a symbol of innovation. Today, the Roadster remains a benchmark for extreme performance and sustainability, inspiring competitors like Porsche Taycan and Rimac Nevera.

HCLTech Launches ₹185 Crore, 40,000 Sq. Ft. Advanced Semiconductor Lab in Bengaluru

HCLTech has inaugurated a ₹185 crore, 40,000 sq ft Advanced Semiconductor Lab in Bengaluru, a milestone in India’s push to become a global semiconductor hub.

The facility includes 25,000 sq ft of Class 10K and Class 1K cleanrooms, enabling post-silicon engineering, advanced testing, and failure analysis. For an uninitiated, Class 10K and Class 1K cleanrooms are controlled environments defined by the maximum number of airborne particles allowed per cubic foot of air. Class 1K is significantly cleaner than Class 10K, making it suitable for more sensitive semiconductor processes.

This lab strengthens India’s semiconductor ecosystem by bridging the critical gap between design and production, ensuring chips are validated, qualified, and ready for deployment across industries such as consumer electronics, aerospace, defence, and medical devices.

The Bengaluru facility features state‑of‑the‑art equipment from Teradyne, Advantest, Keysight, Tektronix, and Thermo Fisher Scientific Inc., enabling advanced research, pre‑production validation, and production qualification. This setup ensures faster turnaround, higher quality, and reduced complexity for global semiconductor customers.

Built around HCLTech’s Spec2Parts business model, the lab offers a unified platform for electrical validation, automated testing, qualification, and failure analysis. By integrating these processes, it streamlines the path from design specifications to finished semiconductor parts, accelerating innovation and strengthening India’s role in the global chip ecosystem.

India’s Semiconductor Growth Story

India’s semiconductor market is projected to reach $200 billion by 2035, driven by government incentives under the Semicon 2.0 programme (₹1.27 lakh crore). The programme supports fabs, ATMP (assembly, testing, marking, packaging), design, and materials, positioning India as a competitive player alongside Taiwan, South Korea, and the US.

Other Major Semiconductor Projects in India

Project	Location	Investment	Focus
Micron ATMP	Sanand, Gujarat	₹22,500 crore	Memory chip packaging & testing
Tata Electronics Fab	Dholera, Gujarat	₹91,526 crore	28nm–110nm chip fabrication (with Taiwan’s PSMC)
Vedanta-Foxconn (paused)	Gujarat	₹1.5 lakh crore (proposed)	Fab + packaging (currently stalled)
Suchi Semicon OSAT	Surat, Gujarat	₹3,936 crore	Discrete semiconductors
Crystal Matrix Fab	Dholera, Gujarat	₹3,936 crore	Mini/Micro-LED (GaN) displays

Comparative Context

Factor	HCLTech Bengaluru Lab	Other India Semiconductor Projects
Investment	₹185 crore	Micron (₹22,500 crore, Gujarat); Tata Electronics (Tamil Nadu)
Technology	Post-silicon engineering, testing, failure analysis	Fab units, ATMP facilities
Output	Validation, qualification, failure analysis	Memory chips, compound semiconductors
Global Partners	Teradyne, Advantest, Keysight, Tektronix, Thermo Fisher	Micron (US), Vedanta (Foxconn earlier)
Location	Bengaluru, Karnataka	Gujarat, Tamil Nadu, Odisha, UP

Strategic Importance

• Reduces import dependence on chips and display technologies.
• Strengthens Atmanirbhar Bharat by building domestic semiconductor capacity.
• Boosts AI, defence, telecom, and consumer electronics sectors.
• Positions India as a global hub in semiconductors by 2030.

Risks & Challenges

• Execution delays: Certification and scaling operations may face hurdles.
• Global competition: India must catch up with advanced hubs like Taiwan and South Korea.
• Supply chain volatility: Geopolitical tensions could disrupt progress.

‘Next Frontier Is Digital Ownership’: Ashish Shelar Backs Tokenisation to Make Real Estate More Accessible to Young Indians

(Left to Right) - Manish Kumar, ⁠Vishal Kalantri, Pramod Borate, Ashish Shelar, Somesh Batra, Neera Inamdar

• Maharashtra IT Minister says responsible tokenisation can lower entry barriers, improve transparency and widen participation in real-world assets

The next big shift in India’s digital economy could move beyond payments and into digital ownership, with blockchain-based tokenisation potentially making traditionally inaccessible assets such as real estate more participative and transparent, said Shri Ashish Shelar, Minister of Information Technology, Government of Maharashtra, at the launch of The Box by RealX and MST Blockchain, in partnership with Liminal Custody, in Mumbai.

Speaking at the event, Shelar said India had already demonstrated the power of digital public infrastructure through UPI and that the country’s next opportunity was to build trusted infrastructure around ownership and productive assets.

“The next frontier is digital ownership,” Shelar said, pointing to the high entry costs, complex documentation, opaque processes and limited liquidity that have historically made participation in real estate difficult for large sections of Indians, particularly younger citizens.

He said responsible tokenisation could help address these barriers by representing clearly defined rights in real-world assets through secure digital units, while creating verifiable records and widening participation.

“Responsible tokenization can help address these barriers. It can represent clearly defined rights in real world assets through secure digital units, create verifiable records, widen participation, and connect capital with productive opportunities,” he said.

The Minister, however, emphasised that technology by itself cannot create trust. For tokenisation to become mainstream, he said, it would need to be supported by legal enforceability, transparent disclosure, cybersecurity, reliable custody, sound governance and strong investor protection.

“A token must not become a shortcut around the law. It must help make rights clearer, transactions more transparent, and accountability stronger,” Shelar said.

His remarks come at a time when Maharashtra is stepping up its focus on blockchain-based asset tokenisation. The state government has proposed the Maharashtra Digitisation and Exchange of Land Token Asset (DELTA) framework to create a legal architecture for tokenising land and other immovable assets.

Against this backdrop, Shelar said initiatives such as The Box could contribute to building the infrastructure needed to translate the potential of tokenisation into real-world applications.

He highlighted the respective roles of the three companies behind the initiative, noting that RealX’s framework seeks to connect blockchain-based digital units with legally enforceable rights in real-world assets, MST Blockchain contributes blockchain infrastructure, while Liminal Custody provides the security and custody layer.

The launch brings together two platforms, REDbox and WHITEbox, designed to address different parts of the real-world asset tokenisation ecosystem. REDbox enables real estate developers to introduce tokenised property offerings under their own brands and platforms.

Shelar also linked the evolution of such infrastructure to India’s larger development ambitions, stressing that technological advancement would need to be accompanied by greater citizen participation and trust.

“India must not simply adopt emerging technology. India must build secure, trusted and responsible systems around it,” he said.

He added that scalable and credible technology platforms could play an important role in enabling wider participation in the real estate ecosystem and supporting India’s broader development objectives.

The remarks at The Box come as tokenisation moves from being largely a technology conversation to a broader discussion around ownership, liquidity, access and infrastructure, with policymakers, financial institutions and technology companies increasingly exploring its potential applications.

NASA & IBM Fuse 30 Data Layers into AI Moon Map, Unlocking Lunar Future

NASA is now using artificial intelligence to study the Moon in a whole new way. Working with IBM and top universities, they’ve built the NASA‑IBM Lunar Foundation Model — one of the first open‑source AI tools made just for lunar science. It’s trained on years of data from NASA’s Lunar Reconnaissance Orbiter and is freely available online. Anyone can explore it on Hugging Face or test the full code on GitHub, opening lunar research to the world.

NASA and IBM have released an open-source Lunar Foundation Model that fuses over 30 data layers from four missions into one AI map, improving lunar mapping accuracy by up to 23% and enabling better detection of ice, craters, and volcanic features. This breakthrough is directly tied to planning future lunar bases near the Moon’s south pole.

The NASA‑IBM Lunar Foundation Model transforms decades of Moon data into a discovery engine, revealing patterns no single mission could uncover.

A 10-image mosaic captured by NASA’s Lunar Reconnaissance Orbiter's Narrow Angle Camera between June 2012 and April 2016 showing the volcanic feature Mons Rümker and its surrounding mare plains. NASA/GSFC/Arizona State University

NASA’s AI ecosystem now spans Earth, Moon, and Sun: the Prithvi Model for geospatial Earth observation, the Lunar Foundation Model for Moon science, and the Surya Model for heliophysics. Together, they represent a “5+1” strategy to embed AI into every major science domain, enabling faster discoveries and operational applications.

Prithvi Model (Earth Observation)

• First orbital AI foundation model: Deployed aboard the ISS and South Australia’s Kanyini satellite in 2026.
• Training data: 13+ years of Harmonized Landsat & Sentinel‑2 imagery.
• Applications: Flood mapping, wildfire scar detection, crop yield prediction, land‑use monitoring.
• Strength: Performs analyses in orbit, reducing bandwidth needs by processing data before transmission.
• Open-source: Available on Hugging Face, enabling global researchers to fine‑tune for disaster response and environmental monitoring.

Lunar Foundation Model (Moon Science)

• Developed by NASA & IBM: Trained on 2M+ lunar image tiles from the Lunar Reconnaissance Orbiter.
• Capabilities:
  • Crater mapping for geological dating.
  • Ice prospectivity in permanently shadowed regions.
  • Volcanic feature detection (irregular mare patches).
  • Surface change detection (e.g., SpaceX rocket impact).
• Impact: Supports Artemis mission planning, safe landing site selection, and resource utilization for future lunar bases.

Surya Model (Heliophysics)

• Training data: 9 years of Solar Dynamics Observatory data.
• Architecture: Spatiotemporal transformer with spectral gating, designed for solar flare forecasting.
• Applications:
  • Forecasting solar flares up to 2 hours ahead.
  • Predicting solar wind speed and irradiance.
  • Tracking active regions and coronal mass ejections.
• Performance: Surpassed existing flare prediction benchmarks by 16%, offering early warnings for satellites, power grids, and aviation.
• Open-source: Hosted on Hugging Face with GitHub code, encouraging global collaboration.

Comparative Snapshot

Model	Domain	Training Data	Key Applications
Prithvi	Earth	Landsat + Sentinel‑2 (13 yrs)	Floods, crops, wildfires, land use
Lunar Foundation	Moon	LRO imagery (2M tiles)	Craters, ice, volcanic features
Surya	Sun	SDO (9 yrs, multi‑wavelength)	Solar flares, winds, irradiance

What the Model Does

• 30 data layers: Integrated from nine instruments across four missions, including the Lunar Reconnaissance Orbiter and GRAIL.
• Multimodal AI system: Combines thermal, topographic, gravitational, and multispectral data into one unified map.
• Accuracy gains: Ice prospectivity 22% reduction in error; crater detection 19% higher accuracy at 100m resolution using half the training data; volcanic mapping 3% improvement.

Built mainly on data from NASA’s Lunar Reconnaissance Orbiter, the model is freely available on Hugging Face, with its full codebase open on GitHub for anyone to test and experiment.

Why It Matters

• Lunar ice: Crucial for water, oxygen, and rocket fuel production. Permanently shadowed craters near the poles are prime targets.
• Safer landings: AI helps identify stable terrain for Artemis missions and future bases.
• Geological insights: Crater and volcanic mapping deepens understanding of the Moon’s history.
• Open-source availability: Released via Hugging Face and GitHub, enabling universities, startups, and smaller space agencies to build on it.

Key Comparisons

Feature	Improvement vs Baseline	Impact
Ice prospectivity	22% RMSE reduction	Better targeting of polar ice deposits
Crater detection	+19% accuracy, +19% mAP	Safer landing site selection
Volcanic mapping	+3% IoU	Improved geological history analysis
Training efficiency	Half the data needed	Accessible for smaller research teams

Challenges Ahead

• Domain shift: AI must adapt across different orbital sensors.
• Shadowed regions: Extremely cold, dark craters remain hard to study.
• Validation: Ground truth data from future missions is still needed.

Context for India

This development complements India’s Space Vision 2047, where AI-driven exploration is central to lunar resource utilization and base planning. It also parallels ISRO-backed projects like CraterMorpho, showing how global collaborations are converging on AI-powered planetary science.

NSE, India’s Largest Exchange, To List on Rival BSE

The National Stock Exchange of India (NSE) is finally going public with its long-awaited IPO, opening on 17 September 2026 and closing on 21 September 2026. The issue is priced at ₹1,700–₹1,785 per share, valuing NSE at up to ₹4.42 lakh crore, with listing expected on 24 September 2026.

NSE has officially announced IPO through its Red Herring Prospectus (RHP) and related filings on its investor relations site. The exchange confirmed the price band of ₹1,700–₹1,785 per share, subscription dates (17–21 September 2026), and listing on BSE on 24 September 2026.

Notably, NSE’s IPO was delayed nearly a decade due to regulatory hurdles and legal disputes, including SEBI’s scrutiny of governance issues. SEBI rules prohibit exchanges from self-listing, hence NSE’s shares will debut on BSE only.

NSE’s governing board and IPO committee passed resolutions approving the offer; SEBI granted listing approval.

Key NSE IPO Details

• IPO Type: Entirely an Offer for Sale (OFS) — NSE itself will not raise fresh capital; proceeds go to selling shareholders.
• Shares Offered: ~12.64 crore equity shares (≈5.1% of NSE’s equity).
• Price Band: ₹1,700–₹1,785 per share.
• Lot Size: 8 shares (minimum retail investment ≈ ₹14,280 at upper band).
• Employee Discount: ₹170 per share for eligible NSE employees.
• Issue Size: ~₹22,562 crore (reduced from earlier ₹30,000 crore plan).
• Listing Date: Expected on 24 September 2026 at BSE.

Major Selling Shareholders

• State Bank of India (SBI): Reduced stake sale to ~1.60 crore shares.
• Morgan Stanley Strategic (Mauritius): Cut sale to ~1.10 crore shares.
• Bank of Baroda, GIC, Stock Holding Corp, National Insurance Co.: All trimmed their offers.

NSE Market Position

• Dominates Indian markets: 92.99% of cash equity turnover, 99.79% of equity futures, and 74.71% of equity options.
• Global standing: World’s largest equity derivatives exchange by contracts traded for 7 consecutive years.
• Investor base: 129 million registered investors as of March 2026.

Financial Snapshot

• FY26 Revenue: ₹16,601 crore (↓3% YoY).
• FY26 Net Profit: ₹10,302 crore (↓15% YoY).
• Valuation: At upper band, ~₹4.42 lakh crore (~$47 billion), placing NSE among India’s top 10 companies by market cap.

Risks & Considerations

• No fresh capital: Since it’s an OFS, NSE won’t receive funds for expansion.
• Profit decline: FY26 saw a 15% drop in net profit, raising valuation concerns.
• Crowded IPO market: September 2026 has multiple large IPOs, which could affect investor appetite.

Timeline Overview

Event	Date
Anchor Investor Bidding	16 Sept 2026
IPO Opens	17 Sept 2026
IPO Closes	21 Sept 2026
Allotment Finalization	22 Sept 2026
Listing on BSE	24 Sept 2026