Infinix GT 30 5G+: The Ultimate Smartphone for Mobile Gamers
Infinix has introduced its latest mid-premium smartphone, the GT 30 5G+, in India, specifically catering to mobile gamers with a blend of advanced performance features, AI capabilities, and custom design aesthetics. The device is priced starting at ₹19,499 and will be available from 14 August on Flipkart, with launch promotions lowering the effective starting price to ₹17,999.
Infinix GT 30 5G+ Specifications
The GT 30 5G+ showcases segment-first GT Shoulder Gaming Triggers that offer console-like controls, along with Krafton-certified 90FPS gameplay in BGMI. The device features a striking Cyber Mecha 2.0 design, which includes programmable white LED lighting that responds to notifications, charging, and music playback.
At its core, the device runs on the MediaTek Dimensity 7400 chipset, complemented by up to 16GB of LPDDR5X RAM (including virtual RAM). The thermal management system is equipped with a six-layer 3D vapor chamber, which Infinix claims provides a 20% improvement in heat dissipation compared to the previous generation.
The smartphone has a 6.78-inch 1.5K AMOLED display boasting a 144Hz refresh rate, a 2160Hz touch sampling rate, and peak brightness reaching 4500 nits. Corning Gorilla Glass 7i enhances durability, and the device holds an IP64 rating, ensuring resistance to dust and splashes.
Camera Features
The GT 30 5G+ is equipped with a 64MP Sony main sensor, accompanied by an 8MP ultra-wide lens, and features AI-driven editing tools such as AI Extender, AI Eraser, and AI Cutout. Both the rear and 13MP front cameras offer 4K video recording capabilities, with the front camera also incorporating screen flash for taking selfies in low-light conditions.
Battery and Charging
The phone comes with a robust 5500mAh battery that supports 45W fast charging. Features like bypass charging are included to minimize heat during gaming sessions, as well as reverse charging to allow users to power other devices.
Operating System and Updates
Running XOS 15 based on Android 15, the GT 30 5G+ is integrated with AI functionalities like AI Note, Writing Assistant, and the Folax voice assistant. Infinix assures users of two major Android OS updates along with three years of security patches.
Pricing and Availability
The smartphone is available in stunning colour options: Cyber Green, Pulse Blue, and Blade White. Pre-orders will commence on Flipkart from 14 August.
8GB + 128GB: ₹19,499
8GB + 256GB: ₹20,999
Infinix is also presenting a limited-time bundle featuring the GT Gaming Kit through the official website.
Asus has introduced the Vivobook S16 in a new format, now equipped with a Qualcomm processor, and has also announced the arrival of its lightweight Chromebook CX15, set to debut in India shortly.
Vivobook S16: AI-Driven Performance with Copilot+
The Vivobook S16 (S3607QA) is an innovative AI-driven laptop powered by Qualcomm’s Snapdragon X processor, boasting a remarkable 45 TOPS NPU. This device is part of Microsoft’s Copilot+ PC roster and is equipped with integrated ASUS AI applications like StoryCube. It is available in two stylish colours: Matte Grey and Cool Silver, starting at ₹79,990 on Flipkart and the Asus online shop.
The Vivobook S16 is designed with a 16-inch FHD+ Lumina OLED screen that offers a 95% DCI-P3 colour gamut and an impressive 89% screen-to-body ratio.
This laptop weighs a light 1.74 kg and has a slim profile measuring 15.9 mm at its thinnest point. It provides an exceptional battery life of up to 32 hours. Additional features include Wi-Fi 6E connectivity and an FHD IR camera equipped with a privacy shutter.
Chromebook CX15: Lightweight, Robust and Cost-Effective
Asus has also unveiled the Chromebook CX15 (CX1505KA), a lightweight device weighing just 1.59 kg that runs on ChromeOS. It boasts US Military Grade-certified durability, multiple I/O ports, and is designed with portability in mind. The pricing will start at ₹19,990.
Arnold Su, Vice President of Consumer and Gaming PC at Asus India, mentioned that the Vivobook S16 merges intelligent productivity, mobility, and vivid visuals, making it ideal for students, professionals, and creators. Both devices are now available for purchase.
Unlocking the Power of GPT-5: A New Era in AI Reasoning
Unlocking the Power of GPT-5: A New Era in AI Reasoning
GPT-5, released by OpenAI, represents a significant advancement in large language models, introducing an innovative approach to problem-solving with embedded “thinking” models that engage when complex, multi-step reasoning is required. This transition is more than a minor adjustment; it fundamentally changes how the system determines when to respond promptly and when to engage in deeper contemplation, thereby reshaping user expectations of ChatGPT in various contexts, including everyday usage, professional settings, and developer applications.
The Basics: A Unified System with Multiple Components
OpenAI presents GPT-5 as a cohesive system composed of three distinct types of elements. The first is a swift and efficient model designed to manage routine inquiries. The second is an advanced reasoning model, referred to as GPT-5 (with thinking), which is responsible for conducting elaborate, structured computations for difficult problems. The third element is an intelligent router that determines which component to utilise for each query, allowing for dynamic conversation routing. For developers, the API offers various configurations, including gpt-5, gpt-5-mini, and gpt-5-nano, enabling teams to balance between cost, latency, and functionality.
Why This Change Matters
Previous models primarily functioned as single-response generators optimised for diverse tasks. GPT-5 distinctly separates “quick answers” from “deep thought.” This means that simple queries will remain both fast and economical, whereas intricate tasks like deep debugging, lengthy mathematical calculations, or clinical case summaries will automatically be managed by a separate, more powerful engine that has the capacity to utilise more internal computing resources and deliver more thorough responses.
Understanding “Thinking” in GPT-5
When OpenAI refers to thinking models, it highlights several technical and product enhancements. The reasoning model enables longer sequences of internal computations while employing scaled parallel testing during computation to minimise errors on complex issues. As a product, it yields more systematic answers that display intermediate steps when relevant and demonstrate a greater ability to acknowledge uncertainty.
The router assesses the nature of an incoming request and decides whether to respond using the fast model, the thinking model, or to activate external tools such as calendars, web connectors, or coding agents. Users may also explicitly request reasoning by selecting GPT-5 Thinking from the options or by instructing the model to “think hard about this.”
In the API, developers have explicit versions available so they can select the reasoning model for enhanced accuracy while using the mini or nano variations for scale and reduced latency.
Simply put, “thinking” represents a carefully managed balance among latency, cost, and accuracy. For users, this should translate to fewer confident but incorrect responses and more transparent, step-by-step solutions when required.
Key Improvements to Anticipate
OpenAI, along with various initial reports, indicates several areas where GPT-5 significantly elevates performance.
Enhanced Reasoning: Benchmarks and early evaluations reveal considerable enhancements in mathematical computations, coding tasks, and domain-specific challenges. OpenAI reports progress across multiple standard assessments, while independent evaluations indicate that enabling the thinking mode notably reduces error and hallucination rates in complex prompts.
Improved Coding and Agentic Behaviour: GPT-5 is fine-tuned for comprehensive coding tasks and optimised for managing agentic workflows that coordinate various tools. Users can expect better project generation with fewer overlooked edge cases, alongside models that more reliably execute sequential API calls and verifications. This is a key reason for rapid adoption by several developer applications.
Multimodal and Practical Skills: GPT-5 enhances understanding of images, videos, and audio alongside text, improving its capability in tasks that necessitate visual context as well as in workflows involving a blend of text and media. OpenAI claims the model accommodates much larger token contexts, thereby aiding in the handling of lengthy documents and multi-file projects.
User Experience Changes in ChatGPT
For everyday users, the alterations will generally be subtle and positive.
Simple searches and brief interactions will continue to be swift. The system defaults to the fast model for common queries, ensuring the ChatGPT experience remains quick and responsive.
For more intricate prompts, ChatGPT will either autonomously “think” or present a clear option. Users requiring precise outputs can select GPT-5 Thinking or Pro tiers that provide greater usage and access to GPT-5 Pro, which features OpenAI’s most intensive reasoning variant.
Tooling and agent management will run more smoothly. When a request encompasses calendars, code execution, or multi-step web searches, the router can allocate the task to the reasoning model and coordinate tool activations, reducing the previously necessary manual interactions. Early integrations from major platform partners demonstrate this efficiency across email, calendar, and coding tools.
The overall effect is that individuals who depend on ChatGPT for simpler tasks will experience no disruptions, while those requiring in-depth work will find an experience that feels more akin to collaborating with a meticulous human partner.
Limits, Safety, and the AGI Debate
OpenAI characterises GPT-5 as its most proficient model to date, yet it is not considered Artificial General Intelligence (AGI). The company stresses reduced hallucination rates and enhanced safety protocols, stating that the model is better at recognising its limitations and suggesting human experts when appropriate. This is significant as higher-capability models can make compelling errors if not properly monitored.
Implications for the Industry
GPT-5 is poised to expedite the integration of AI within products. Its superior reasoning capabilities and built-in agentic features simplify the process for companies to deploy functionalities that previously required extensive engineering efforts. Microsoft and other platform partners are already indicating broad integration at the product level. This will widen the disparity between teams capable of utilising high-quality reasoning models and those unable to do so, further intensifying discussions surrounding auditing, ownership, and accountability, given that models will increasingly make automated decisions with significant implications.
Andrew Tulloch, a prominent figure in the artificial intelligence sector and cofounder of Thinking Machines Lab, has become the focal point of Silicon Valley’s latest high-stakes battle for talent.
Declining a Massive Offer from Meta
Reports from The Wall Street Journal indicate that Tulloch recently turned down an astounding compensation package from Meta, valued at up to $1.5 billion (approximately ₹13,142 crores) over six years, despite his history with the firm and the personal engagement of CEO Mark Zuckerberg.
A Respected Figure in AI
Tulloch is accustomed to attractive offers. As a regarded name in artificial intelligence and cofounder of Thinking Machines Lab, he has developed a career at the centre of several influential AI projects over the last decade. However, the latest proposal he rejected was unprecedented, even for Silicon Valley.
Meta’s Initial Bid
The situation began when Mark Zuckerberg approached Thinking Machines founder Mira Murati with an reported acquisition offer of $1 billion, which she turned down. This prompted a concerted effort to recruit some of her most valuable personnel, with Tulloch at the top of their target list.
Exceptional Compensation Package
Meta’s proposal for Tulloch allegedly included a pay package reaching up to $1.5 billion over six years, encompassing salary, bonuses, and stock awards. For Zuckerberg, securing Tulloch would have represented a high-profile recruitment, while for Tulloch, it would mark a return to familiar ground. Having spent over a decade at Meta, he was instrumental in refining its machine learning capabilities and played a key role in the evolution of PyTorch, now crucial in global AI research.
Career Moves and Recent Developments
Following his departure in 2023, Tulloch joined OpenAI, contributing to the pre-training and reasoning models for GPT-4. He then collaborated with Murati to establish Thinking Machines Lab earlier this year. Despite the magnitude of Meta’s offer and outreach from former colleagues like Alexandr Wang, now leading Meta’s Superintelligence Lab, Tulloch opted to remain with his new venture. Murati later informed Wired that none of her team members accepted Meta’s proposals.
Academic Background and Future Prospects
Tulloch’s academic achievements are impressive alongside his professional accomplishments. He graduated from the University of Sydney with first-class honours and a University Medal in mathematics, holds a Master’s degree from Cambridge, and is working towards a PhD at UC Berkeley. Industry analysts speculate that his choice to stay could be connected to substantial equity in Thinking Machines Lab, which is already valued at over $30 billion.
Meta’s Response
Meta has contested both the figures and the extent of its recruitment initiatives. Spokesperson Andy Stone labelled the reported sums as “inaccurate and ridiculous,” noting that any compensation package would depend on stock performance.
Standing Firm in the AI Talent Race
In the escalating competition for AI talent, Tulloch’s decision is particularly notable as it exemplifies a rare occasion where even an extravagant offer was insufficient in deterring an engineer from pursuing his own vision.
The focus keyword “Data Breach Cost” highlights a significant concern for businesses in India, with the average expense of a data breach elevating to ₹220 million in 2025. This marks a 13 percent rise from the previous year, according to IBM’s latest Cost of a Data Breach Report. The findings indicate that while companies are quickly embracing AI, the measures for security and governance are not keeping up, making them appealing targets for cybercriminals.
Insights from IBM’s Report on Data Breach Cost
The report represents the inaugural examination by IBM of security, governance, and access controls specifically related to AI. It has uncovered that only 37 percent of Indian organisations have properly established AI access controls, while almost 60 percent either do not possess AI governance policies or are in the process of formulating them.
The Urgent Need for AI Governance
According to Viswanath Ramaswamy, Vice President of Technology at IBM India & South Asia, the rapid adoption of AI in India offers substantial opportunities but also presents new and intricate cyber threats. The report indicates a critical gap; although AI is being integrated swiftly into business operations, security and governance are lagging. The lack of access controls and governance tools regarding AI is not merely a technical issue but a strategic weakness. It is essential for CISOs to act promptly, ensuring that trust, transparency, and governance are embedded into AI systems by design.
Key Findings on Data Breach Cost in India
AI Governance: Nearly 60 percent of the organisations that faced breaches either lacked a governance policy or were in the process of developing one; only 34 percent of those with policies utilized AI governance technology.
Shadow AI: Unauthorised AI applications ranked among the top three breach cost contributors, adding ₹17.9 million on average. Merely 42 percent implemented measures to manage or detect such usage.
Breach Costs: The average cost of a data breach escalated to ₹220 million, an increase from ₹195 million in 2024.
Attack Vectors: Phishing (18 percent), compromise of third-party vendors (17 percent), and vulnerability exploitation (13 percent) were highlighted as the most common causes of breaches.
Breach Lifecycle: The average duration to identify and mitigate breaches reduced to 263 days, 15 days quicker than last year.
Sector Impact: Research was identified as the most affected sector, averaging ₹289 million per breach, followed closely by transportation at ₹288 million and industrial at ₹264 million.
Security AI: The implementation of AI and automation significantly reduced breach costs by more than half; however, 73 percent of the organisations reported limited or no adoption of these technologies.
The report is grounded in the analysis of nearly 6,500 breaches over two decades, revealing that the present threat landscape is predominantly digital. The complexity is further intensified by AI-driven attacks and the unregulated use of AI technologies.
Otek BM09 AI Mouse Review: A Smart Assistant at Your Fingertips
The Otek BM09 AI Mouse stands out as more than just a typical sleek wireless device. After using it for several days, it has proven to be more like a compact AI assistant conveniently at hand. This mouse is a productivity enhancer that truly transforms interaction with your computer.
Design and Comfort
Weighing in at 92g, the BM09 is lightweight yet sturdy. Its curved shell is designed for comfort, while the subtle black or white finish ensures a professional appearance. The button layout is effective, with dedicated AI, OCR, Voice, and Translation controls conveniently positioned for easy access. Transitioning between Bluetooth 5.0 and 2.4GHz wireless is effortless, allowing for easy pairing with laptops, tablets, and desktops simultaneously.
AI at Your Fingertips
The most impressive aspect is the dedicated AI button. Activating it connects you instantly to Otek AI, a built-in smart assistant capable of drafting business proposals, writing essays, generating creative stories, or creating PowerPoint presentations from Word files. The device efficiently summarised meeting notes and drafted a SWOT analysis in under a minute.
Also notable is the OCR button, which extracts text from images or scanned documents without needing any additional applications, making it invaluable for handling printed contracts or historical documents. The Voice button allows dictation of text or commands without needing to use the keyboard, while the Translation button provides real-time speech-to-text translations in multiple languages with impressive accuracy.
Performance and Customisation
DPI settings can be adjusted from 800 to 4000, making it suitable for tasks ranging from photo editing to simple web browsing. The mouse remained responsive while switching between multiple devices, maintaining low latency for casual gaming. Using the Otek AI software, tests with AI Excel for generating quick spreadsheets and AI Image Generation for mock-up designs exceeded expectations, reinforcing the value of this tool.
Verdict
This device is ideal for writers, researchers, and professionals managing multiple tasks. Students can benefit from its capabilities for crafting essays and project outlines, while content creators may appreciate the AI image tools. However, for someone needing only a basic mouse for web browsing, this may be more than necessary.
The Otek BM09 AI Mouse successfully merges traditional input functionality with impressive AI-powered convenience. It’s far from a gimmick; the features are genuinely beneficial and seamlessly integrated. Ultimately, it has evolved into more than a typical mouse; it has become a desk companion that significantly enhances productivity in unexpected ways.
If your work routine involves switching between typing, research, and content creation, this could be the smartest mouse you will ever possess.
Contract Management Platform Icertis Appoints New CEO Anand Subbaraman
Contract Management Platform Icertis Appoints New CEO Anand Subbaraman
Contract management platform Icertis has appointed Anand Subbaraman as its new chief executive officer, succeeding cofounder Samir Bodas, who will shift to the role of executive chairman. Bodas remains actively involved in guiding the company’s strategy and governance.
Anand Subbaraman’s Experience
Subbaraman comes with over 25 years of expertise in global enterprise software. His previous positions include serving as President at BrowserStack, General Manager for Core and Retail Banking at Finastra, and holding pivotal product leadership roles at Oracle.
About Icertis
Icertis provides a cloud-based contract lifecycle management (CLM) platform that empowers enterprises to create, manage, and optimise contracts. The platform utilises AI-driven analytics to derive insights, ensure compliance, and enhance business outcomes from contracts.
SaaS Business Model
Icertis operates using a subscription-based SaaS model, generating steady recurring revenue by licensing its platform to large enterprises worldwide.
Funding and Growth
According to multiple sources from the startup data intelligence platform, Icertis has accumulated $522 million in funding to date and is currently seeking an additional $50 million.
Valuation and Achievements
Icertis became a unicorn in July 2019 after raising $119 million in its Series E funding round spearheaded by Premji Invest, with a recent valuation of approximately $5 billion. The company is headquartered in Pune, India.
Financial Performance
Icertis’s Indian entity reported a 33% increase in its operating revenue, reaching Rs 863 crore in FY24, up from Rs 649 crore in FY23. The firm also registered a profit of Rs 97 crore in FY24, compared to Rs 71 crore in the previous fiscal year.
Legal Restrictions on Publicly Available Personal Data for AI Training in India
The Internet and Mobile Association of India (IAMAI) has urged the central government to reduce legal barriers regarding the use of publicly accessible personal data for developing and refining artificial intelligence models.
In a statement released on Thursday, IAMAI indicated that current data protection laws complicate the ability of AI firms to ascertain whether all publicly available personal data has been shared with user consent. According to the Digital Personal Data Protection Act, 2023 (DPDP Act), it is the responsibility of companies to confirm whether such data was willingly provided.
IAMAI highlighted that publicly available data can sometimes be shared again without consent from the original user, particularly in cases where data was disclosed to meet legal obligations and subsequently disseminated by others. This situation poses a challenge for AI developers as they struggle to validate user consent for each data point.
“The Union Government may, as a temporary solution, think about exempting data fiduciaries from the DPDP Act’s requirements when they are handling personal data exclusively for AI model training or enhancement,” the association suggested.
Furthermore, IAMAI communicated with the Ministry of Electronics and Information Technology (MeitY) about potential ambiguities within the DPDP Act that could lead to practical challenges for AI enterprises, especially those that rely on extensive datasets. The association cautioned that imposing limitations on access to publicly available personal data could result in considerable compliance costs, hinder innovation, and disproportionately impact smaller firms and startups involved in AI model development.
The DPDP Act represents India’s all-encompassing data privacy legislation, aimed at reconciling individuals’ rights to safeguard their personal data with the necessity for lawful data usage. It mandates accountability for data fiduciaries in the event of breaches and calls for the implementation of suitable technical and organisational safeguards.
BharatGen: A National Initiative for AI in Indian Languages
BharatGen, an initiative supported by the government, aims to establish foundational AI models tailored for Indian languages and contexts, and it is set to encompass all 22 scheduled Indian languages by June 2026, as reported to the Lok Sabha on Wednesday.
At present, the models cover nine languages: Hindi, Marathi, Tamil, Malayalam, Bengali, Punjabi, Gujarati, Telugu, and Kannada. The strategic plan aims to increase this coverage to 15 languages, which will include Assamese, Maithili, Nepali, Odia, Sanskrit, and Sindhi, by December 2025, with the complete list finalised by mid-2026.
Functionalities of BharatGen AI Models
The AI models are designed to handle various modalities, including large language models for text processing, text-to-speech conversion, automatic speech recognition, and vision-language systems. As per the government’s statement, BharatGen has successfully developed pilot applications in sectors such as agriculture, governance, and defence, which are intended for nationwide deployment once fully operational.
Organisational Structure of BharatGen
BharatGen operates under the Department of Science and Technology’s National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS). The TIH Foundation for IoT and IoE at IIT Bombay acts as the central hub, overseeing program execution, facilitating national academic collaboration, and fostering ecosystem partnerships for compute, data, and talent. Additionally, the IITM Pravartak Technologies Foundation at IIT Madras plays the role of implementation partner, concentrating on applications related to governance, security, and media.
Key Participants in the BharatGen Consortium
IIT Bombay: Lead institution responsible for research and integration
IIIT Hyderabad: Specialises in vision-language document modelling
IIT Madras: Focused on speech model development and evaluation
IIT Kanpur: Conducts legal AI research and strategies for multilingual tokenisation
IIT Hyderabad: Works on vocabulary optimisation for multilingual LLMs
IIT Mandi: Develops inclusive multilingual models and efficient training methods
IIM Indore: Engages in Bharat-centric benchmarking and multilingual data collection
Union Minister Dr Jitendra Singh indicated that while BharatGen is currently in its pilot phase and not available for public use, the objective is to implement it across all states and districts. Additional partnerships with research institutions in Karnataka may also be considered.
OpenAI Announces GPT-5: A New Era in AI Technology
OpenAI has officially launched GPT-5, the latest enhancement of its large language model that powers ChatGPT, making it available to all 700 million users of the chatbot. This iteration is being presented as the most advanced version yet, emphasising business utilities while also enhancing user experience.
The launch occurs amidst a significant surge in investments within the AI industry. Major players such as Alphabet, Meta, Amazon, and Microsoft, a supporter of OpenAI, are anticipated to invest nearly $400 billion this fiscal year aimed at expanding AI data centres and supporting infrastructure.
Reportedly, OpenAI is in preliminary discussions about allowing employees to sell shares based on a valuation of $500 billion, an increase from the current $300 billion. In this competitive landscape, leading AI researchers are attracting signing bonuses that could reach up to $100 million.
Features of GPT-5
OpenAI is emphasising GPT-5’s capabilities in areas such as software development, health inquiries, finance, and intricate problem-solving. OpenAI CEO Sam Altman stated that “GPT-5 truly embodies the first instance where one of our primary models can be consulted like a legitimate expert, comparable to a PhD-level specialist.” He further highlighted its innovative feature of providing instant software solutions, suggesting that software on demand may become a hallmark of the GPT-5 era.
Demonstration Highlights
During a presentation on Thursday, OpenAI introduced the concept of “vibe coding,” showcasing how GPT-5 can generate functional software based solely on natural language prompts. Initial reviewers have noted considerable advancements in coding, science, and mathematics, though some mentioned that the jump from GPT-4 to GPT-5 appears less pronounced compared to previous upgrades.
Limitations of GPT-5
Despite its advancements, GPT-5 is not positioned to entirely replace human roles. Altman acknowledged its current inability to adapt and learn independently. Dwarkesh Patel, on his AI podcast, likened the existing methodology to teaching a child an instrument through written instructions from earlier learners without the benefit of iterative practice.
Challenges Ahead for OpenAI
Three years post the launch of ChatGPT, which marked a pivotal moment for generative AI, OpenAI faces the task of implementing further enhancements. Restrictions on data access and the intricacies of large-scale training have hindered development. GPT-5 introduces a method known as “test-time compute,” allowing the model to allocate additional processing power to tackle intricate queries, a feature now accessible to the wider public for the first time.
“We need to develop significantly more infrastructure globally to ensure AI accessibility in various markets,” Altman stated, indicating that the scale of necessary investment remains substantial.
