Apple iPhone 17e India Launch: Apple is expected to launch the iPhone 17e in the first quarter of 2026. The upcoming model will succeed the iPhone 16e, which is known for its strong performance, Apple Intelligence features, and affordable price. With the iPhone 17e, Apple is rumored to introduce a major design and display upgrade that could attract many users to switch. As per reports, the iPhone 17e may feature a Dynamic Island instead of the traditional display notch. This change could give the phone a modern look and improve the overall user experience compared to older models. Apple iPhone 17e: What Is Dynamic Island Add Zee News as a Preferred Source It is a pill-shaped interactive area at the top of the screen that displays ongoing activities like calls, music, navigation, and alerts. It also houses the front camera and Face ID sensors. Apple first introduced this feature with the iPhone 14 Pro and iPhone 14 Pro Max in 2022, later bringing it to the iPhone 15, 16, and now the 17 series. If the reports are true, the iPhone 17e will be the first affordable model to include this premium design feature. (Also Read: OnePlus 15 Launched With Qualcomm Snapdragon 8 Elite Gen 5 Chipset; Check Display, Camera, Battery, Price And Other Features) iPhone 17e Specifications (Leaked) According to a leaks from Digital Chat Station, Apple is reportedly planning to bring the Dynamic Island feature to the upcoming iPhone 17e. The device is expected to be powered by the A19 chip, though it may include slightly modified cores to align with its pricing strategy. Despite the addition of Dynamic Island, the iPhone 17e will likely retain a 6.1-inch OLED display with a 60Hz refresh rate, unlike the flagship iPhone 17 models, which feature a smoother 120Hz ProMotion display. Apple iPhone 17e India Launch And Price (Expected) The upcoming iPhone 17e is expected to be priced similarly to the iPhone 16e. Early leaks suggest that the iPhone 17e could launch in India with a starting price of around Rs 59,900. It is expected to launch in February 2026 around a year after the iPhone 16e. 

OpenAI ChatGPT Go Access In India: OpenAI announced that it will offer one year of free access to ChatGPT Go for all users in India who sign up during a special promotional period starting November 4. The offer celebrates OpenAI’s first DevDay Exchange event in Bengaluru, which will also take place on the same day. ChatGPT Go is OpenAI’s new subscription plan that provides access to advanced features such as higher message limits, more image generation, longer memory, and the ability to upload extra files and images. All these features are powered by the latest GPT 5 model. OpenAI ChatGPT Go Access Introduced In India Add Zee News as a Preferred Source The plan was first introduced in India in August after users requested a more affordable way to use ChatGPT’s advanced tools. Within a month, the number of paid ChatGPT users in India more than doubled, prompting OpenAI to expand ChatGPT Go to about 90 countries worldwide. India is now ChatGPT’s second-largest and one of the fastest-growing markets, with millions of students, professionals, and developers using the tool daily to learn new skills, enhance creativity, and build innovative projects. The new offer reflects OpenAI’s continued “India-first” approach and supports the government’s IndiaAI Mission, which aims to expand access to artificial intelligence tools and encourage innovation across the country. OpenAI Working With Civil Society Groups OpenAI is also working with civil society groups, educational platforms, and government-led initiatives to make AI tools more accessible and inclusive. Existing ChatGPT Go subscribers in India will also be eligible for the free 12-month offer, with more details to be announced soon. Nick Turley, Vice President and Head of ChatGPT, said the company has been inspired by how Indian users are using ChatGPT Go. “Ahead of our first DevDay Exchange event in India, we’re making ChatGPT Go freely available for a year to help more people across India easily access and benefit from advanced AI. We’re excited to see the amazing things our users will build, learn, and achieve with these tools,” he said. (With IANS Inputs)

OnePlus 15 Launch: OnePlus has launched the OnePlus 15 smartphone in China, along with the OnePlus Ace 6. The smartphone succeeds last year’s OnePlus 13 and comes with several major upgrades. It features Android’s first “Touch Display Sync” technology, which greatly improves touch accuracy and stability for a faster, smoother, and more responsive experience. The company has also confirmed that the OnePlus 15 will be launched in other regions soon. The OnePlus 15 measures between 8.1 mm and 8.2 mm in thickness, depending on the color variant. In China, it is available in three color options: Sand Dune, Absolute Black, and Misty Purple. However, In India, Amazon has created a dedicated microsite for the smartphone, but the official launch date has not yet been announced. OnePlus 15 Specifications Add Zee News as a Preferred Source The OnePlus 15 features a 6.78 inch AMOLED display with a Full HD Plus resolution of 2772 by 1272 pixels. It offers a peak brightness of up to 1800 nits and a 120 Hz refresh rate, which can reach 165 Hz in certain situations. It is powered by the Qualcomm Snapdragon 8 Elite Gen 5 chipset and comes with two RAM options, 12 GB and 16 GB LPDDR5X, along with storage choices of 256 GB, 512 GB, or 1 TB using UFS 4.1 technology. It has a 7300 mAh battery that supports 120 W Super Flash Charge and 50 W wireless charging. For photography, the device includes a triple rear camera setup with a 50 MP wide lens, a 50 MP ultra wide lens, and a 50 MP telephoto lens. On the front, it has a 32 MP camera for selfies. The phone introduces a new Glacier Cooling System that uses an ultra thin hand tearable steel material, expanding the vapor cooling area by 43 percent and improving water absorption by 100 percent. It also includes various sensors such as proximity, ambient light, color temperature, electronic compass, accelerometer, gyroscope, hall, laser focus, spectrum, and an IR blaster. For security, the device features an in display ultrasonic fingerprint scanner and supports 5G, Wi Fi 7, NFC, Beidou, GPS, GLONASS, Galileo, and QZSS connectivity. (Also Read: OnePlus OxygenOS 16 Update With AI Integration: Check Full List Of Eligible Devices, Rollout Phase, And Key Features) OnePlus 15 Price The OnePlus 15 starts at CNY 3999, which is around Rs 50,000, for the base model with 12 GB RAM and 256 GB storage. Other variants are priced at CNY 4299, around Rs 53,000, for 16 GB RAM and 256 GB storage, CNY 4599, around Rs 57,000, for 12 GB RAM and 512 GB storage, and CNY 4899, around Rs 61,000, for 16 GB RAM and 512 GB storage. The top model with 16 GB RAM and 1 TB storage is priced at CNY 5399, approximately Rs 67,000. The OnePlus 15 will be available in three colours, Absolute Black, Misty Purple, and Sand Dune. Sales will begin in China today on October 28 through the company online store. 

New Delhi: Union Minister for Electronics and IT, Ashwini Vaishnaw, on Monday lauded the growth of India’s electronics exports, expressing the hope that it will become the second largest export category soon. The minister informed that India’s electronics exports have emerged as the third-largest and fastest-growing export category in the first half of FY26. The minister shared the update in a post on social media platform X, saying, “Make in India impact! Electronics become the country’s third largest and fastest-growing export category in the first six months of FY26. On course to be the second largest exported item.” The government data showed that electronics exports increased by 42 per cent (year-on-year) to $22.2 billion in H1FY26, with approximately half of that value linked to Apple iPhone shipments. The sector has surged in export rankings, rising from seventh in FY22 to third position. India’s exports grew 5.19 per cent year-on-year between April and August 2025 to $346.1 billion, compared to $329.03 billion during the same period in 2024, despite the uncertainty in global markets. Add Zee News as a Preferred Source The performance comes on top of 7.1 per cent growth in exports in 2024, exceeding the global average of 2.5 per cent, according to World Bank (WB) data. Electronic goods led the surge with a 40.6 per cent increase, adding $5.5 billion in value compared to the same period in 2024. This success is closely linked to the Production-Linked Incentive (PLI) and ‘Make in India’ schemes that have transformed India from a net importer to a net exporter of smartphones. Exports of smartphones alone crossed Rs 1 lakh crore in the first five months of FY26, a robust 55 per cent increase over the previous year, the article further states. India’s smartphone exports crossed an estimated $1.8 billion in the month of September, reflecting a year-on-year growth of over 95 per cent compared to the same month last year.

New Delhi: Energy-intensive artificial intelligence (AI) data centers are expected to drive a sharp rise in power consumption, with data center power usage projected to increase by 160 per cent by 2030, according to a report by Goldman Sachs. The report noted that after nearly a decade of flat power demand growth, the emergence of AI-driven data centers is set to transform the global energy landscape. It stated, “data center power usage is expected to increase +160 per cent by 2030, driven by energy-intensive AI data centers.” The report highlighted that power generation is only one part of the issue, as transmission remains a significant bottleneck in bringing new power plants online. Citing the example of the United States, the report stated that most data centers are powered by natural gas due to its abundant supply. Add Zee News as a Preferred Source However, challenges in permitting, transmission, and critical supply chains–such as those related to gas turbines, have led to long timelines of around 5-7 years for getting new natural gas plants operational and connected to the grid. The report also estimated that about 60 per cent of the data center demand growth will need to be met with new capacity. This new capacity is likely to be powered by 30 per cent natural gas combined cycle gas turbine (CCGT), 30 per cent natural gas peakers, 27.5 per cent solar, and 12.5 per cent wind. The report further stated that while natural gas remains a key source of power, renewables are expected to play a growing role as they offer faster and more efficient ways to secure incremental power supply amid the long development timelines for gas-based plants. Hyperscale companies are adopting a mixed approach by combining different power sources to meet short-term energy needs. At the same time, they are investing in long-term solutions such as nuclear energy, though cautiously. Tech giants have been willing to invest in power infrastructure but have avoided direct development risk or asset ownership. Instead, they are turning to strategies such as forward-start power purchase agreements (PPAs) to accelerate progress. The report cited Alphabet’s recent agreement with Elementl Power to pre-position three sites for advanced nuclear energy as an example of this growing trend among major technology companies to secure sustainable and reliable energy for future AI operations.

OnePlus OxygenOS 16 Update: OnePlus has rolled out its OxygenOS 16, its latest software update based on Android 16. The update brings a new look, faster performance, and several AI-powered features. The company said the rollout will begin in batches from November 2025. There are also ‘Revamped Visuals and Customisation’. OnePlus has organised the design upgrades in OxygenOS 16 into two main themes which includes the Breathe With You and Thrive With Free Expression. The Breathe With You theme focuses on enhancing the core system visuals, making the overall interface smoother, more fluid, and visually consistent. Meanwhile, Thrive With Free Expression is designed to offer users greater freedom to personalise and customise their devices according to their preferences. OnePlus OxygenOS 16 Update: What’s New Add Zee News as a Preferred Source The update also brings revamped visuals and new customisation options. The update introduces a Liquid Glass design that uses Gaussian blur effects across different parts of the interface, giving it a sleek, glass-like look. Another new addition is the Translucent Floating Bar, a transparent bottom bar now visible in the Photos app, home screen search bar, app drawer, and recents screen. Its appearance is similar to the design style seen in Apple’s iOS 26. OnePlus OxygenOS 16 Update: Rollout Phases and Eligible Devices The rollout of OxygenOS 16 will take place in phases. In November 2025, the update will be available for the OnePlus 13, OnePlus 13R, OnePlus 13 Pro, OnePlus 13 CE, OnePlus Open, and OnePlus Pad 2. By December 2025, it will reach the OnePlus 11R 5G, OnePlus 11 CE 5G, OnePlus Nord CE 5G, and OnePlus Nord CE 5G Lite. The final phase, scheduled for the first quarter of 2026, will include the OnePlus 10 Pro 5G, OnePlus 10 CE 5G, and OnePlus Pad Lite. (Also Read: No More Lost Reels: Instagram Introduces Watch History Feature For Users In India; How To Use It) OnePlus OxygenOS 16 Update: AI Integration OxygenOS 16 introduces several new smart features. The Private Computing Cloud processes user data directly on the device, keeping information secure and preventing it from being shared with third parties. The AI Writer Toolkit helps users create mind maps, draft emails, write social media captions, improve text, and even generate charts — all in one place. Another useful addition is Mind Space, which helps organise scattered digital information into one simple and accessible hub. OnePlus OxygenOS 16 Update: Live Alerts The Live Alerts feature, located near the selfie camera, now supports real-time updates from apps through the new Live Updates API. For example, Google Maps can display turn-by-turn directions and the remaining distance to your destination right in the Live Alerts area. 

AI Deepfake Horror: A tragic incident from Faridabad, Haryana, has shown how badly artificial intelligence (AI) can be misused. A 19-year-old boy died by suicide after some people blackmailed him using fake, AI-generated obscene photos and videos of his three sisters. The blackmailers demanded a lakhs of rupees to stop sharing the false content online. This shocking case has raised serious concerns about the misuse of AI to create fake and harmful material. Police have started an investigation to find the people responsible and to learn how the fake content was made and shared. AI Deepfake Horror: Father Alleges AI Misuse After Phone Hacked Rahul Bharti, a second-year student at DAV College, had been very upset for the last 15 days. He was not eating properly and mostly stayed quiet in his room, his father, Manoj Bharti, said. According to his father, someone hacked Rahul’s phone about two weeks ago and used artificial intelligence (AI) to create fake nude photos and videos of Rahul and his sisters. Add Zee News as a Preferred Source From Blackmail To Tragedy The person, who called himself ‘Sahil’ in the chat with Rahul, sent him fake obscene photos and videos and demanded Rs 20,000. In their last conversation, ‘Sahil’ threatened to share those pictures and videos on social media if Rahul didn’t pay the money. He even encouraged Rahul to end his life and mentioned some substances that could cause death. Distressed by the incident, Rahul reportedly consumed some tablets around 7 pm on Saturday. As his condition deteriorated, his family rushed him to the hospital, where he died during treatment. Family Alleges Relative’s Involvement Meanwhile, Rahul’s family suspects that another man, Neeraj Bharti, might also be involved in the case. They said Neeraj had spoken to Rahul just a few hours before his death. Rahul’s mother, Meena Devi, accused her brother-in-law of playing a role in the incident, saying she had a dispute with him about six months ago. She also claimed that he, along with a girl, planned the whole act. Based on the family’s complaint, police have registered a case against two individuals. A case under Section 108 (abetment to suicide) of the Bharatiya Nyaya Sanhita (BNS) has been registered at the Old Faridabad police station. The accused, Sahil, is currently being questioned. According to Rahul’s father, Manoj, the family discovered a lengthy chat on Rahul’s phone, in which Sahil had allegedly sent AI-generated nude photos and videos of Rahul and demanded money from him. (Also Read: No More Lost Reels: Instagram Introduces Watch History Feature For Users In India; How To Use It) Police Probe Cybercrime Angle According to the investigating officer, “Rahul consumed poison and was rushed to a private hospital, where he later died during treatment. The investigation is underway based on a complaint filed by his father, and Rahul’s mobile phone is currently being examined,” said Investigating Officer Sunil Kumar. Old Faridabad Police Station in-charge Vishnu Kumar described the incident as “a serious case of cybercrime and misuse of AI technology.” Disclaimer: (Discussions on suicides can be triggering for some. But suicides are preventable. If you are looking for help, some suicide prevention helpline numbers in India are 011-40769002 from Sanjivini (Delhi-based, 10 am – 5.30 pm) and 044-24640050 from Sneha Foundation (Chennai-based, 8 am – 10 pm), +91 9999666555 from Vandrevala Foundation (Mumbai-based, 24×7).

Instagram Watch History For Reels: Meta-owned social media platform Instagram has introduced a new Watch History feature for Reels. This update allows users to easily view all the Reels they have previously watched, eliminating the hassle of searching for a video they forgot to like or save. The announcement was made by Instagram head Adam Mosseri, who confirmed on his broadcast channel that the Watch History feature is now live for many users worldwide, including those in India. Instagram Watch History Feature: Why It Is Imp Remember when you had to save a Reel or send it to yourself or a friend just to find it later? That is no longer necessary. Instagram has finally introduced a dedicated Watch History section, similar to the one YouTube and TikTok has offered for years. This new section allows users to view all the Reels they have previously watched, with options to sort or filter them easily. Add Zee News as a Preferred Source According to Adam Mosseri, users can sort videos by date, either from oldest to newest or vice versa, and even filter them by a specific date range or creator. Adding further, if you have watched something you do not want to keep in your watch history, you can remove those Reels individually or in bulk. (Also Read: Instagram New Restyle Feature: Users Can Edit Photos And Video Using Meta AI Prompts; How To Use It) Instagram Watch History Feature: How To Use It Step 1: Open the Instagram app and go to your profile. Step 2: Tap the three-line menu at the top right and choose Settings. Step 3: Go to Your Activity. Step 4: Tap Watch History. Step 5: You will see your recently viewed Reels, with options to sort and filter them for easier browsing. Earlier this year, Instagram increased the maximum length of Reels from 90 seconds to 3 minutes. The app also added a new feature that lets creators dub their Reels in Hindi, Portuguese, English, and Spanish. This feature uses Meta’s AI to automatically translate and match the lip movements in different languages. 

In this article, you will learn how to use Pydantic to validate, parse, and serialize structured data in Python using type hints. Topics we will cover include: Defining core models with type coercion and clear validation errors Using optional fields, defaults, and Field constraints effectively Writing custom validators, handling nested structures, and exporting JSON Let’s not waste any more time. The Complete Guide to Pydantic for Python DevelopersImage by Editor Introduction Python’s flexibility with data types is convenient when coding, but it can lead to runtime errors when your code receives unexpected data formats. Such errors are especially common when you’re working with APIs, processing configuration files, or handling user input. Data validation, therefore, becomes necessary for building reliable applications. Pydantic addresses this challenge by providing automatic data validation and serialization using Python’s type hint system, allowing you to define exactly what your data should look like and automatically enforcing those rules. This article covers the basics of using Pydantic for data validation using type hints. Here’s what you’ll learn: Creating and validating data structures with type hints Handling optional fields and default values Building custom validation logic for specific requirements Working with nested models and complex data structures Let’s begin with the basics. Before you proceed, and follow along with the examples. 🔗 Link to the code on GitHub. Basic Pydantic Models Unlike manual data validation approaches that require writing extensive if-statements and type checks, Pydantic integrates well with your existing Python code. It uses Python’s type hints (which you might already be using) and transforms them into powerful validation logic. When data doesn’t match your specifications, you get clear, actionable error messages instead of cryptic runtime exceptions. This reduces debugging time and makes your code more maintainable and self-documenting. Pydantic models inherit from BaseModel and use Python type hints to define the expected data structure: from pydantic import BaseModel class User(BaseModel): name: str age: int email: str # Create a user user = User(name=”Alice”, age=”25″, email=”alice@example.com”) print(user.age) print(type(user.age)) from pydantic import BaseModel   class User(BaseModel):     name: str     age: int     email: str   # Create a user user = User(name=“Alice”, age=“25”, email=“alice@example.com”) print(user.age) print(type(user.age)) Output: This code defines a User model with three required fields. When creating a user instance, Pydantic automatically converts the string “25” to the integer 25. If conversion isn’t possible (like passing “abc” for age), it raises a validation error with a clear message about what went wrong. This automatic type coercion is particularly useful when working with JSON data or form inputs where everything arrives as strings. Optional Fields and Defaults Real-world data often has missing or optional fields. Pydantic handles this with Optional types and default values: from pydantic import BaseModel, Field from typing import Optional class Product(BaseModel): name: str price: float description: Optional[str] = None in_stock: bool = True category: str = Field(default=”general”, min_length=1) # All these work product1 = Product(name=”Widget”, price=9.99) product2 = Product(name=”Gadget”, price=15.50, description=”Useful tool”) from pydantic import BaseModel, Field from typing import Optional   class Product(BaseModel):     name: str     price: float     description: Optional[str] = None     in_stock: bool = True     category: str = Field(default=“general”, min_length=1)   # All these work product1 = Product(name=“Widget”, price=9.99) product2 = Product(name=“Gadget”, price=15.50, description=“Useful tool”) The Optional[str] type means description can be a string or None. Fields with default values don’t need to be provided when creating instances. The Field() function adds validation constraints. Here it ensures category has at least one character. This flexibility allows your models to handle incomplete data gracefully while still enforcing important business rules. Custom Validators in Pydantic Sometimes you need validation logic beyond basic type checking. Validators let you implement custom rules: from pydantic import BaseModel, field_validator import re class Account(BaseModel): username: str email: str password: str @field_validator(‘username’) def validate_username(cls, v): if len(v) < 3: raise ValueError(‘Username must be at least 3 characters’) if not v.isalnum(): raise ValueError(‘Username must be alphanumeric’) return v.lower() # Normalize to lowercase @field_validator(’email’) def validate_email(cls, v): pattern = r’^[\w\.-]+@[\w\.-]+\.\w+$’ if not re.match(pattern, v): raise ValueError(‘Invalid email format’) return v @field_validator(‘password’) def validate_password(cls, v): if len(v) < 8: raise ValueError(‘Password must be at least 8 characters’) return v account = Account( username=”JohnDoe123″, email=”john@example.com”, password=”secretpass123″ ) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 from pydantic import BaseModel, field_validator import re   class Account(BaseModel):     username: str     email: str     password: str       @field_validator(‘username’)     def validate_username(cls, v):         if len(v) < 3:             raise ValueError(‘Username must be at least 3 characters’)         if not v.isalnum():             raise ValueError(‘Username must be alphanumeric’)         return v.lower()  # Normalize to lowercase       @field_validator(’email’)     def validate_email(cls, v):         pattern = r‘^[\w\.-]+@[\w\.-]+\.\w+$’         if not re.match(pattern, v):             raise ValueError(‘Invalid email format’)         return v       @field_validator(‘password’)     def validate_password(cls, v):         if len(v) < 8:             raise ValueError(‘Password must be at least 8 characters’)         return v   account = Account(     username=“JohnDoe123”,     email=“john@example.com”,     password=“secretpass123” ) Validators run automatically during model creation. They can transform data (like converting usernames to lowercase) or reject invalid values with descriptive error messages. The cls parameter gives access to the class, and v is the value being validated. Validators run in the order they’re defined and can access values from previously validated fields. Nested Models and Complex Structures Real applications deal with hierarchical data. Pydantic makes nested validation straightforward: from pydantic import BaseModel, field_validator from typing import List, Optional from datetime import datetime class Address(BaseModel): street: str city: str state: str zip_code: str @field_validator(‘zip_code’) def validate_zip(cls, v): if not v.isdigit() or len(v) != 5: raise ValueError(‘ZIP code must be 5 digits’) return v class Contact(BaseModel): name: str phone: str email: Optional[str] = None class Company(BaseModel): name: str founded: datetime address: Address contacts: List[Contact] employee_count: int is_public: bool = False # Complex nested data gets fully validated company_data = { “name”: “Tech Corp”, “founded”: “2020-01-15T10:00:00”, “address”: { “street”: “123 Main St”, “city”: “San Francisco”, “state”: “CA”, “zip_code”: “94105” }, “contacts”: [

Instagram New Restyle Feature: Instagram is reportedly rolling out a new feature that allows users to edit images and videos in Stories using Meta AI prompts. The much-anticipated update lets users add, remove, or modify elements in an image or video through simple text prompts — similar to Google’s Nano Banana image model. This feature closely resembles Google Photos’ new “Help Me Edit” tool, which also enables image editing via natural language commands. Adding further, users will be able to choose from a range of preset styles to make quick adjustments to their content. According to reports, the Meta-owned platform also plans to introduce the option to add custom text to the Restyle feature. The new Restyle feature on Instagram will be completely free to use, allowing users to restyle photos and videos directly within the app without any paid add-ons or subscriptions. Previously, Instagram’s AI-powered editing tools were limited to the integrated Meta AI chatbot, but by bringing these capabilities to Stories, Meta is making AI editing more accessible and user-friendly than ever before. Add Zee News as a Preferred Source How To Use Instagram Restyle For Photos And Videos? Step 1: Open Instagram and tap the + button at the top-left of the screen. Step 2: Choose the image from your camera roll you want to add to your Story, then tap the Restyle button (paintbrush icon). Step 3: Use natural-language prompts to add, remove, or change objects — or ask Meta AI to replace the background. Step 4: When finished editing, tap Done and proceed to post your Story. Step 5: For videos, follow the same steps — but instead of full object edits, choose from the available presets to restyle the clip. (Also Read: Samsung Galaxy S26 Ultra Likely To Debut In India With Qi2 Wireless Charging Support; Check Expected Display, Battery, Design, Camera, Price, Launch Date And Other Features) Instagram Guide To Write Better Prompts Meta has also shared a guide to help users craft better prompts. The company suggests considering factors such as subject, lighting and mood, composition, style, and location to achieve the desired results when editing photos and videos. However, Meta hasn’t announced a global rollout timeline for the tool, its availability will likely depend on the regions where Meta AI is currently active.