Xiaomi 17 Ultra still unsure about HPE module as different leaks are mixing external lenses as "Dual focal" while initial leaks were about continuous focus,this seems like fixed focal length module with external adaptor and a dedicated JN5 with a statement given as Dual Telephoto
❤3
Honor captures aliens directly, not just photos of them.
👻16🗿9😭8❤1
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🔥2
Gurman: Major Apple Leadership Shakeup Impending With John Ternus as Next CEO
⚡ India’s Unified EV Charging Push
India’s EV charging is fragmented with 100+ apps, causing range anxiety and payment hassles. To fix this, the govt launched the PM E-DRIVE scheme (₹10,900 cr) targeting 72,300 public chargers, with BHEL as nodal agency and ₹2,000 cr for infra.
💰 Subsidies
- Govt offices, hospitals, schools, public colonies → 100%
- Airports, metros, depots, rail, PSU pumps, tolls → 80% infra / 70% chargers
- Malls, markets, roadside → 80%
- Battery swapping → 80%
📱 Unified Digital Platform
- BHEL Hub: integrates all chargers, real-time status, booking, payments.
- NPCI Platform: discovery, slot booking, seamless UPI payments, merging 100+ networks.
🔌 Standards
- 2/3-wheelers: ≤12 kW
- Cars/SUVs: CCS-II, 50–250 kW
- Buses/trucks: CCS-II, 250–500 kW (≥120 kW per gun)
🚦 Deployment
- Focus: cities >1M, state capitals, smart cities, highways, ports, industrial hubs.
- Goal: charging as common as petrol pumps.
📊 Impact
- Users: one-stop app, no multiple logins.
- Operators: higher utilization, easy onboarding.
- Nation: accelerates EV adoption, supports 2030 target of 10M EV sales/yr.
✅ A national EV charging super app + subsidies will unify discovery, booking, and payments, ending fragmentation and boosting confidence in India’s EV future.
India’s EV charging is fragmented with 100+ apps, causing range anxiety and payment hassles. To fix this, the govt launched the PM E-DRIVE scheme (₹10,900 cr) targeting 72,300 public chargers, with BHEL as nodal agency and ₹2,000 cr for infra.
💰 Subsidies
- Govt offices, hospitals, schools, public colonies → 100%
- Airports, metros, depots, rail, PSU pumps, tolls → 80% infra / 70% chargers
- Malls, markets, roadside → 80%
- Battery swapping → 80%
📱 Unified Digital Platform
- BHEL Hub: integrates all chargers, real-time status, booking, payments.
- NPCI Platform: discovery, slot booking, seamless UPI payments, merging 100+ networks.
🔌 Standards
- 2/3-wheelers: ≤12 kW
- Cars/SUVs: CCS-II, 50–250 kW
- Buses/trucks: CCS-II, 250–500 kW (≥120 kW per gun)
🚦 Deployment
- Focus: cities >1M, state capitals, smart cities, highways, ports, industrial hubs.
- Goal: charging as common as petrol pumps.
📊 Impact
- Users: one-stop app, no multiple logins.
- Operators: higher utilization, easy onboarding.
- Nation: accelerates EV adoption, supports 2030 target of 10M EV sales/yr.
✅ A national EV charging super app + subsidies will unify discovery, booking, and payments, ending fragmentation and boosting confidence in India’s EV future.
❤5
OpenAI and Jony Ive are developing a secretive palm‑sized AI device, screenless and driven by cameras, mics, and speakers.
It aims to act as an always‑on, context‑aware companion that remembers surroundings and interacts naturally.
Ive’s team at LoveFrom is advancing hardware, but software lags.
Engineers struggle to define the assistant’s “personality”—helpful yet not intrusive—and to resolve privacy concerns around constant listening.
Another hurdle is compute: OpenAI lacks the vast infrastructure of Google or Amazon, making large‑scale deployment difficult.
Originally eyed for 2026, the launch is delayed indefinitely.
If solved, the project could redefine human‑AI interaction, move beyond screens, and challenge tech giants, but personality, privacy, and compute remain the toughest barriers.
It aims to act as an always‑on, context‑aware companion that remembers surroundings and interacts naturally.
Ive’s team at LoveFrom is advancing hardware, but software lags.
Engineers struggle to define the assistant’s “personality”—helpful yet not intrusive—and to resolve privacy concerns around constant listening.
Another hurdle is compute: OpenAI lacks the vast infrastructure of Google or Amazon, making large‑scale deployment difficult.
Originally eyed for 2026, the launch is delayed indefinitely.
If solved, the project could redefine human‑AI interaction, move beyond screens, and challenge tech giants, but personality, privacy, and compute remain the toughest barriers.
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