Cyber conference: Experts urge telcos to tighten rules to curb cyber fraud

Cyber conference: Experts urge telcos to tighten rules to curb cyber fraud



Experts have recommended that telecom service providers take greater responsibility in strengthening customer verification processes and extending proactive support to investigative agencies to deal with cyber criminals, officials said on Wednesday.


The recommendations were made at the national conference on ‘Tackling Cyber-Enabled Frauds and Dismantling the Ecosystem’ organised by the CBI and the home ministry’s anti-cybercrime unit I4C.


The CBI and I4C will send their report and recommendations to the ministry based on the deliberations of the two-day conference on cyber crime that concluded on Wednesday.


The use of artificial intelligence in tackling cyber crimes by enhancing investigation capabilities was also discussed during the conference.

 


During the conference, around 375 experts from different fields including law enforcement, banking and finance, cyber security, and telecom, among others presented their views on tackling cyber crimes.


“Participants emphasized the need for a coordinated national response involving law enforcement agencies, financial institutions, and technology intermediaries,” a CBI spokesperson said in a statement.


The officials said experts discussed the misuse of telecom infrastructure, including SIM and eSIM vulnerabilities, in cyber frauds.


“The deliberations highlighted regulatory challenges and stressed the responsibility of telecom service providers (TSPs) in strengthening customer verification processes, preventing misuse, and extending proactive support to investigative agencies,” the statement said.


Participants also stressed the importance of faster data sharing, timely preservation of digital evidence, and robust cooperation between technology companies and law enforcement agencies, the officials said.



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Former OpenAI researcher quits as firm explores advertising like Facebook

Former OpenAI researcher quits as firm explores advertising like Facebook



By Zoë Hitzig

 


This week, OpenAI started testing ads on ChatGPT. I also resigned from the company after spending two years as a researcher helping to shape how AI models were built and priced, and guiding early safety policies before standards were set in stone.


I once believed I could help the people building AI get ahead of the problems it would create. This week confirmed my slow realization that OpenAI seems to have stopped asking the questions I’d joined to help answer. 


I don’t believe ads are immoral or unethical. AI is expensive to run, and ads can be a critical source of revenue. But I have deep reservations about OpenAI’s strategy. 

 


For several years, ChatGPT users have generated an archive of human candor that has no precedent, in part because people believed they were talking to something that had no ulterior agenda. Users are interacting with an adaptive, conversational voice to which they have revealed their most private thoughts. People tell chatbots about their medical fears, their relationship problems, their beliefs about God and the afterlife. Advertising built on that archive creates a potential for manipulating users in ways we don’t have the tools to understand, let alone prevent. 


Many people frame the problem of funding AI as choosing the lesser of two evils: restrict access to transformative technology to a select group of people wealthy enough to pay for it, or accept advertisements even if it means exploiting users’ deepest fears and desires to sell them a product. I believe that’s a false choice. Tech companies can pursue options that could keep these tools broadly available while limiting any company’s incentives to surveil, profile and manipulate its users. 


OpenAI says it will adhere to principles for running ads on ChatGPT: The ads will be clearly labelled, appear at the bottom of answers and will not influence responses. I believe the first iteration of ads will probably follow those principles. But I’m worried subsequent iterations won’t, because the company is building an economic engine that creates strong incentives to override its own rules. (The New York Times has sued OpenAI for copyright infringement of news content related to AI systems. OpenAI has denied those claims.) 


In its early years, Facebook promised that users would control their data and be able to vote on policy changes. Those commitments eroded. The company eliminated holding public votes on policy. Privacy changes marketed as giving users more control over their data were found by the Federal Trade Commission to have done the opposite, and in fact made private information public. All of this happened gradually under pressure from an advertising model that rewarded engagement above all else. 


The erosion of OpenAI’s own principles to maximize engagement may already be underway. It’s against company principles to optimize user engagement solely to generate more advertising revenue, but it has been reported that the company already optimizes for daily active users anyway, likely by encouraging the model to be more flattering and sycophantic. This optimization can make users feel more dependent on AI for support in their lives. We’ve seen the consequences of dependence, including psychiatrists documenting instances of “chatbot psychosis” and allegations that ChatGPT reinforced suicidal ideation in some users. 

Still, advertising revenue can help ensure that access to the most powerful AI tools doesn’t default to those who can pay. Sure, Anthropic says it will never run ads on Claude, but Claude has a small fraction of ChatGPT’s 800 million weekly users; its revenue strategy is completely different. Moreover, top-tier subscriptions for ChatGPT, Gemini and Claude now cost $200 to $250 a month — more than 10 times the cost of a standard subscription to Netflix for a single piece of software. 


So the real question is not ads or no ads. It is whether we can design structures that avoid both excluding people from using these tools, and potentially manipulating them as consumers. I think we can. 


One approach is explicit cross subsidies — using profits from one service or customer base to offset losses from another. If a business pays AI to do high-value labor at scale that was once the job of human employees — for example, a real-estate platform using AI to write listings or valuation reports — it should also pay a surcharge that subsidizes free or low-cost access for everyone else. 


This approach takes some inspiration from what we already do with essential infrastructure. The Federal Communications Commission requires telecom carriers to contribute to a fund to keep phone and broadband affordable in rural areas and to low-income households. Many states add a public-benefits charge to electricity bills to provide low-income assistance. 


A second option is to accept advertising but pair it with real governance — not a blog post of principles, but a binding structure with independent oversight over how personal data is used. There are partial precedents for this. German co-determination law requires large companies like Siemens and Volkswagen to give workers up to half the seats on supervisory boards, showing that formal stakeholder representation can be mandatory inside private firms. Meta is bound to follow content moderation rulings issued by its Oversight Board, an independent body of outside experts (though its efficacy has been criticized). 


What the AI industry needs is a combination of these approaches — a board that includes both independent experts and representatives of the people whose data is at stake, with binding authority over what conversational data can be used for targeted advertisement, what counts as a material policy change and what users are told. 


A third approach involves putting users’ data under independent control through a trust or cooperative with a legal duty to act in users’ interests. For instance, MIDATA, a Swiss cooperative, lets members store their health data on an encrypted platform and decide, case by case, whether to share it with researchers. MIDATA’s members govern its policies at a general assembly, and an ethics board they elect reviews research requests for access. 

None of these options are easy. But we still have time to work them out to avoid the two outcomes I fear most: a technology that manipulates the people who use it at no cost, and one that exclusively benefits the few who can afford to use it. 
(This is an NYT piece, and these are the personal opinions of the writer. They do not reflect the views of www.business-standard.com or the Business Standard newspaper)

 



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Tech Wrap Feb 11: Samsung Galaxy Unpacked, Android 17, Google Photos on iOS

Tech Wrap Feb 11: Samsung Galaxy Unpacked, Android 17, Google Photos on iOS


 


Google has confirmed that Android 17 beta 1 is set to arrive “soon” for public testing. The update was announced shortly after Android 16 QPR3 Beta 2.1 was released, indicating that the next major Android version is moving into its beta stage. This year, Google appears to be revising its release strategy by skipping the traditional Developer Preview phase and moving directly to beta 1.

 

 


Google is extending its ‘Create with AI’ feature in Google Photos to iPhone and iPad users in India. The feature debuted on Android a few months earlier and is now expanding to Apple devices in selected markets. It enables users to edit and enhance photos using built-in AI templates.

 
 

 


Telecom company Airtel has introduced a new AI-powered security tool aimed at protecting users from bank fraud linked to OTP scams. The system functions at the network level and issues real-time alerts if it detects a potentially suspicious situation during a call. According to the company, the objective is to prevent customers from sharing banking OTPs with fraudsters while still on the call.

 


Google is broadening the availability of its Gemini-powered Fitbit Coach to additional countries beyond the US. First launched in public preview in October, the AI-based coaching tool offers customised workout routines, sleep analysis, and recovery recommendations based on user data. With this expansion, the Public Preview is also being made available to iOS users, allowing more Fitbit Premium members to access it via the updated Fitbit app.

 

 


YouTube Music has rolled out a new AI Playlist tool for Premium subscribers. The company announced the feature on X (formerly Twitter), confirming its availability on Android and iOS devices. The tool allows users to create playlists by describing their preferred mood, idea, or genre, either through text or voice input, instead of manually selecting songs.

 

 


In recent years, handheld gaming has evolved in two distinct directions. On one side are high-powered Windows-based devices like the Asus ROG Ally, ROG Xbox Ally, MSI Claw, and similar systems that function essentially as compact PCs with built-in controllers. On the other are smaller, more affordable retro handhelds such as the Anbernic RG35XX H, which focus primarily on emulation and classic console libraries.

 

 


Indian businesses rank among the most active global users of AI and machine-learning tools, with large volumes of sensitive data being processed through these systems, according to the Zscaler ThreatLabz 2026 AI Security Report. The report indicates that enterprise AI-related data transfers, along with data leakage incidents, are increasing more rapidly in India than in other regions.

 

 


The India AI Impact Summit, beginning February 16 in New Delhi, will gather participants from India and abroad to discuss advancements in artificial intelligence. Domestically, focus will likely be on 12 Indian startups selected under the IndiaAI Mission to develop indigenous foundation models trained on Indian languages and datasets. These firms are building large language models (LLMs) and multimodal systems tailored to local linguistic, sector-specific, and governance needs. The startups involved are as follows:

 

 


As New Delhi gets ready to host the India AI Impact Summit from February 16 to 20, the country is framing its AI strategy around measurable, large-scale outcomes rather than broad policy discussions. While previous editions in the UK, South Korea, and France focused on safety standards and innovation frameworks, the 2026 summit in India will emphasise technology deployment and tangible societal benefits.

 

 


Ahead of the India-AI Impact Summit 2026, India has introduced seven ‘chakras’ to guide global discussions on AI development and deployment. These chakras serve as thematic groups intended to convert broad AI principles into concrete policies and practical implementation.

 



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Why retro emulation handhelds often make better gaming consoles on the go

Why retro emulation handhelds often make better gaming consoles on the go


Over the past few years, handheld gaming has split into two very different directions. On one side are powerful Windows-based devices such as the Asus ROG Ally, the ROG Xbox Ally, MSI Claw and similar machines that are essentially compact PCs with controllers attached. On the other are smaller, cheaper retro handhelds such as the Anbernic RG35XX H, built mainly around emulation and older console libraries.

 


Having spent time with both types, including the ROG Ally, ROG Xbox Ally, Nintendo Switch, and retro handhelds like the Anbernic RG35XX H and MIYOO Mini Plus, I’ve come to think that retro emulation handhelds, despite their limitations, often fit the idea of a “handheld console” better than most modern flagship handhelds.

 
 


That does not mean the newer, more powerful devices do not have a use case. In many ways, they are more capable. But capability and suitability for handheld gaming are not always the same thing.


Why retro handheld emulators fit better as handheld consoles


The biggest difference shows up the moment you pick these devices up. Retro handhelds are smaller, lighter, and built around much simpler hardware. Because they are designed to run older games — from systems like the NES, Game Boy, PSP, PS Vita, N64, PS1 and in some cases even PS2 — they do not need large cooling systems, high-wattage chips, or bulky batteries. The result is a device that is easier to carry, more comfortable to hold for longer sessions, and generally less prone to getting hot in your hands.

 


Most of these devices also run simple, usually Linux-based operating systems. That keeps the experience focused. You turn the device on, pick a game, and start playing. There is very little of the overhead that comes with a full desktop operating system. At the same time, these systems are highly customisable: you can change menus, themes, layouts, and even how the emulators behave. You can shape the device around how you want to play.


There is also a software fit that often gets overlooked. A large part of the library these devices support was originally designed for handheld or low-power consoles in the first place. Games from the PSP, Game Boy, or older consoles were built around shorter play sessions, simpler controls, and smaller screens. They tend to scale down well, both visually and in terms of how they feel to play on a portable device.

 


Cost plays a role too. Because the hardware requirements are lower and the games themselves are older, retro handhelds are far cheaper. You are not paying for the ability to run modern PC games; you are paying for a focused, portable way to access a large back catalogue. For a device that is meant to be used on the go or as a secondary gaming machine, that trade-off makes sense.

 


Some newer retro handhelds also run Android, which opens the door to mobile games that are already designed around touch screens, short sessions, and portable use. In practice, those games often feel more natural on a handheld than many PC or console titles that have simply been scaled down to fit a smaller screen.


What modern handheld consoles do better


Devices like the ROG Ally or the ROG Xbox Ally are impressive for a different reason: they are extremely versatile. They can run modern PC games, handle demanding emulation, support cloud streaming, and function as small Windows computers. If your goal is to play the latest PC releases on a portable device, a retro handheld simply cannot compete.

 


There is also a clear advantage in ecosystem integration. With something like the ROG Xbox Ally, you can start a game on your Xbox console, continue it on the handheld using the same save file, and then switch to a PC without losing progress. That kind of continuity is genuinely useful and fits well with how many people already play games across devices.


Screens on these flagship handhelds are usually better too — higher resolution, higher refresh rates, and generally brighter and sharper panels. For modern games, that makes a visible difference.

 


But all of this comes with trade-offs. To deliver that performance, these devices need more powerful chips, more cooling, and bigger batteries. That makes them heavier, bulkier, more expensive, and more prone to heat and battery drain. On top of that, they run Windows, which is not really designed around handheld use. Even with custom launchers and tweaks, it still feels like a desktop operating system squeezed into a portable form factor.

 


There is also a software mismatch at times. Many modern PC and console games are designed for large screens, long sessions, and keyboard or full-size controller setups. They can run on a handheld, but they are not always comfortable to play that way.


Who should choose what


In practice, most handheld gaming devices — even the flagship ones — are still positioned as secondary gaming machines rather than primary consoles. They are meant for travel, short sessions, or playing away from a desk or TV.

 


If what you want is a focused, affordable, and comfortable portable device for older games, emulation, and even some Android titles, retro handhelds make a lot of sense. They are easier to carry, simpler to use, cheaper to buy, and better aligned with the kinds of games they are meant to run.

 


If, on the other hand, you want a device that can slot into your existing PC or Xbox gaming setup, run modern games, and let you carry your saves with you, then something like the ROG Ally or ROG Xbox Ally does things a retro handheld simply cannot. You pay more, and you accept the size, weight, and battery compromises, but you get access to a much broader and more current library.

 


The Nintendo Switch sits somewhere in between. Nintendo has years of experience building handheld consoles, and it has a library of games that are designed with portable play in mind. That shows in how smoothly the hardware and software work together, and in how well the system shifts between handheld and TV use.

 


After using both ends of the spectrum, though, the main difference is this: retro handhelds feel like devices built specifically for handheld gaming, while most modern Windows-based handhelds feel like powerful PCs that happen to be portable. Both have their place, but for pure, everyday handheld use, the simpler machines often get the basics right more consistently.



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YouTube Music introduces Spotify-like AI playlist feature for premium users

YouTube Music introduces Spotify-like AI playlist feature for premium users


YouTube Music AI Playlist feature (Image: YouTube Music)


YouTube Music has introduced a new AI Playlist feature for Premium subscribers. The company shared the announcement on X (formerly Twitter), confirming that the feature is rolling out on Android and iOS. With this tool, users can create playlists by describing what they want to listen to. Instead of adding songs manually, they can type or speak a mood, idea, or genre, and the app will automatically generate a personalised playlist.

 

Similarly, Spotify has recently introduced a feature called Prompted Playlist that lets users create playlists by typing what they want to hear, with songs generated based on their listening history and trends.

 


YouTube Music’s AI Playlist feature: How it works


According to the company, Premium subscribers can create a personalised playlist simply by describing an idea, mood, or music genre. Instead of manually searching for songs, they can enter a text prompt or use their voice, and the AI Playlist feature will generate a playlist based on what they describe. According to the post on X, the feature appears with a Gemini-style logo.

 


The AI Playlist tool is designed to make playlist creation faster and more flexible for Premium subscribers, although Google has not shared details about how much editing control users will have after a playlist is generated.


How it compares to existing features

YouTube Music already introduced a natural-language music feature called “Ask Music” in 2024. That tool allowed users to request songs using simple prompts. However, AI Playlist seems more focused on building full playlists rather than creating a radio-style listening session. 

 


Steps to use YouTube Music’s AI playlist feature


  • Open the YouTube Music app on Android or iOS

  • Go to the Library tab and tap the “New” button

  • Select “AI Playlist”

  • Use text or voice to describe the type of music you want

  • The app will generate a playlist based on your prompt

 

First Published: Feb 11 2026 | 4:39 PM IST



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Google to soon release Android 17 beta 1 for public testing: What to expect

Google to soon release Android 17 beta 1 for public testing: What to expect



Google has confirmed that Android 17 beta 1 is on the way and will arrive “soon” for public testing. The announcement came right after the release of Android 16 QPR3 Beta 2.1, signalling that the next major Android version is about to enter its public beta phase. This year, Google is likely changing how it phases new Android releases. Instead of starting with a separate Developer Preview build, Android 17 will go straight to beta 1.

 


According to a report by Smartprix, this is because experimental changes are now handled earlier in Android Canary builds, while the beta release becomes the primary public testing track. The first Android 17 beta build carries the internal label “26Q2.”

 


Android 17 beta update: Details


Google said that if you are already enrolled in the Android Beta Program and are running Android 16 QPR3 Beta 2.1, Android 17 beta 1 will be pushed to your phone automatically. You don’t need to sign up again. Devices that stay in the beta programme will continue to receive future beta updates as they roll out.


However, once Android 17 beta is installed, you generally cannot remove it without wiping your phone until the beta cycle ends, which is expected around June 2026. If you want to avoid Android 17 beta testing, you should opt out now via Google’s official Android Beta site and wait for the stable Android 16 QPR3 release, expected as part of the March Pixel update.

 

So far, Google has not confirmed specific features for Android 17. The OS is expected to have the codename “Cinnamon Bun,” and the beta timeline points to a stable release around mid-2026 after public testing. 

 


According to Smartprix, possible improvements may include performance enhancements, refinements to the Material 3 Expressive design language, and deeper on-device AI changes, although it is likely that Android 17 beta 1 will build on the Android 16 QPR base and include the latest stability and performance fixes before moving into later beta updates.

 



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