AI

Google ne apne experimental AI app Dreambeans ko India mein bhi rollout kar diya hai. Google ke official India blog par 3 November 2026 ko ye jaankari di gayi. Ye Google Labs ka app hai jo user ke liye roz personalised stories ka collection taiyaar karta hai.

Reports ke mutabik ye app pehle September 2026 mein US mein aaya tha, aur India iska pehla market hai jo US ke bahar mila hai.

Kya naya hai

Dreambeans user ke chune hue Google apps ki activity ke aadhar par chhoti visual stories banata hai. Isme user ko lamba prompt likhne ki zarurat nahi padti. Stories ghoomne ki jagahon, arts and crafts, ya local events ke reminders jaise topics par ho sakti hain.

• Kisi story ko khol kar zyada detail dekhi ja sakti hai
• Story ko baad ke liye bookmark kiya ja sakta hai
• Stories doosron ke saath share ki ja sakti hain
• Feedback dene ka option hai, jisse aage ki stories behtar hon

Google ke mutabik stories un apps par aadharit hoti hain jo user khud chunta hai, jaise Calendar, Gemini, Gmail, Photos, Search aur YouTube. Reports ke mutabik kuch stories ko animate karne ke liye Google ka Veo video model bhi use hota hai.

India mein availability

App	Dreambeans (Google Labs, experimental)
Platforms	Android aur iOS
Umar ki shart	18 saal ya usse zyada
Indian bhashayein	Hindi, Bengali, Telugu, Marathi, Tamil, Urdu, Gujarati, Kannada, Malayalam, Odia, Punjabi, Assamese, Nepali
India announcement	3 November 2026

Google ke blog post mein 14 bhashaon ka zikr hai, jabki naam se 13 Indian bhashayein batayi gayi hain. Reports ke mutabik abhi user ek samay mein sirf ek output language chun sakta hai. Price ke baare mein Google ne kuch nahi bataya hai.

Privacy ka kya

Kyunki ye app Gmail, Photos aur Calendar jaise personal data wale apps se jud sakta hai, isliye privacy settings samajhna zaruri hai. Google ke mutabik user khud chunta hai ki kaun se Google apps stories ke liye use honge. Reports ke anusaar app mein services disconnect karne, data delete karne aur kuch sensitive topics block karne ke options bhi hain.

Agar aap app try karte hain, to shuru mein sirf wahi services connect karein jinke data ka use aap theek samajhte hain, aur settings ek baar zarur check karein.

Iska matlab kya hai

Indian bhashaon ke support ke saath ye app un users ke liye hai jo apni roz ki activity se jude suggestions aur yaadein ek alag andaaz mein dekhna chahte hain. Ye abhi experimental app hai, isliye features aur behaviour aage badal sakte hain.

Dreambeans un AI products mein se hai jo user ke personal data ke aadhar par content banate hain. Aise apps mein convenience ke saath ye bhi dhyan rakhna zaruri hai ki kaun sa data share ho raha hai.

Sources:

• Google India Blog – Dreambeans in India
• Beebom

India ki national cyber security agency CERT-In (Indian Computer Emergency Response Team) ne Artificial Intelligence (AI) Security Auditing Guidelines jaari kiye hain. CERT-In ki official website par is document ki date 4 November 2026 di gayi hai. Ye guidelines un organisations ke liye ek common framework deti hain jo AI tools banate, kharidte, deploy karte ya chalate hain.

Reports ke mutabik ye lagbhag 107 pages ka document hai, aur iska focus is baat par hai ki AI systems secure, fair aur accountable rahein, aur un par insaani nigrani (human oversight) bani rahe.

Kya naya hai

Guidelines ka sabse bada hissa risk ke hisaab se audit karna hai. Har AI system ko chaar categories mein se ek mein rakha jaata hai. Risk tay karte waqt dekha jaata hai ki system fail hone par kitna nuksaan ho sakta hai, wo kitni azaadi se faisle leta hai, kitna sensitive data process karta hai aur kya galat nateeje ko palta ja sakta hai.

Risk level	Audit ki zarurat (reports ke mutabik)
Low	Saalana review ya basic internal assessment
Moderate	Lagataar internal assessment, documented internal audit, aur saal mein kam se kam ek baar CERT-In-empanelled auditor se independent audit
High	CERT-In-empanelled organisation se independent third-party audit, zarurat padne par har 6 mahine tak
Critical	CERT-In-empanelled organisation se audit ke saath continuous monitoring

Jab kisi system ki capability, use karne ka mahaul ya uska asar badle, to dobara assessment karna hoga.

Audit kin baaton ko cover karega

Document mein audit ke liye nau mukhya areas bataye gaye hain:

• AI governance
• Data quality aur privacy
• Model risk management
• Fairness
• Transparency
• Cybersecurity
• Regular monitoring
• Human supervision
• Third-party suppliers ki zimmedari

Ye checks AI ke poore lifecycle par lagte hain, yaani planning aur data collection se le kar development, deployment, monitoring aur system ko band karne tak. Organisations ko system ka intended use, architecture, risks aur controls document karne honge.

Generative AI aur AI agents ke liye alag checks

Guidelines mein generative AI, chatbots, retrieval-augmented generation (RAG) systems, AI agents, multi-agent systems aur multimodal AI ke liye extra checks jode gaye hain. Inmein prompt injection, data poisoning, sensitive data leak, zarurat se zyada permissions aur unsafe tool use jaise risks shaamil hain.

Reports ke mutabik CERT-In ke reportable criteria mein aane wale AI incidents ko 6 ghante ke andar report karna hoga. Ye samay-seema CERT-In ke April 2022 ke directions se li gayi hai, yaani ye naya niyam nahi balki pehle se maujood niyam ka hissa hai. Isi tarah security logs 180 din tak rakhne ki baat bhi purane directions par aadharit hai.

Kis par laagu hoga

Reports ke anusaar ye framework un AI systems ko cover karta hai jo India mein organisations develop, deploy ya operate karti hain, aur un systems ko bhi jo Indian users ka data process karte hain ya unhe AI services dete hain. Bahar se liye gaye models, datasets aur software ke liye bhi organisation hi zimmedar maani jayegi.

Iska matlab kya hai

Aam users ke liye iska seedha asar ye ho sakta hai ki banking, telecom, e-commerce ya sarkari services mein use hone wale AI chatbots aur tools par zyada structured security checks hon. Companies ke liye ab ek tay framework hai jiske hisaab se wo apne AI systems ka risk aanka kar audit plan kar sakti hain.

Kuch reports ke mutabik ye framework apne aap mein koi naya AI kanoon nahi hai. Kaun si baat kis organisation par kis had tak lazmi hai, iske liye CERT-In ka original document padhna zaruri hai.

Sources:

• CERT-In – Artificial Intelligence (AI) Security Auditing Guidelines
• Digit
• The420.in

IndiaAI Mission ke tahat 4 November 2026 ko New Delhi mein do Indian companies ke banaye teen AI foundation models release kiye gaye: EKA-1, Dhīr 2B aur Dhīr 5B. Event mein Ministry of Electronics and Information Technology (MeitY) ke Secretary S. Krishnan aur IndiaAI ke adhikari maujood the. Yeh models Indian bhashaon par khaas dhyaan dekar banaye gaye hain.

Kya naya hai

EKA-1 ko Soket Labs Technology and Research ne banaya hai. Yeh 26.3 billion parameters wala ek open, sparse hybrid language model hai jise lagbhag 7.5 trillion tokens par train kiya gaya. Yeh sabhi 22 scheduled Indian languages aur English support karta hai, aur maths, coding, reasoning aur agent-based kaamon ke liye design kiya gaya hai. Company ke mutabik isme banking, financial services aur cybersecurity sector par khaas focus hai.

Dhīr 2B aur Dhīr 5B ZenteiQ AiTech Innovations ke open-source models hain, jinme kramashah 2 billion aur 5 billion parameters hain. Yeh English aur 10 Indian languages support karte hain. Inhe halka rakha gaya hai taaki yeh internet ke bina, apne servers par ya mobile phone jaise devices par bhi chal saken. Inka istemal documents mein jaankari dhoondhne, citizen services aur office workflows jaise kaamon ke liye socha gaya hai.

Key specifications

Model	Developer	Parameters	Bhashayein	Istemal
EKA-1	Soket Labs	26.3B	22 Indian languages + English	Maths, coding, reasoning, AI agents; BFSI aur cybersecurity focus
Dhīr 2B	ZenteiQ AiTech	2B	10 Indian languages + English	Offline/on-device, document search, government aur education use
Dhīr 5B	ZenteiQ AiTech	5B	10 Indian languages + English	Offline/on-device, document search, enterprise workflows

Availability

Adhikariyon ke mutabik yeh models AIKosh platform ke zariye researchers, students aur innovators ke liye uplabdh karaye ja sakte hain. Abhi tak download aur license terms ki poori jaankari public reports mein saaf nahi hai, isliye istemal se pehle AIKosh ya IndiaAI ki official site par details check karein. Dono companies ko IndiaAI Mission ke Foundation Models pillar ke tahat subsidised national AI compute aur research support mila tha.

Iska matlab kya hai

Ab tak zyada popular AI models videshi companies ke hain. India mein bane models ka maqsad Indian bhashaon, local zaruraton aur data suraksha par behtar dhyaan dena hai. Chhote Dhīr models khaas taur par un jagahon ke liye kaam ke ho sakte hain jahan internet kamzor hai ya data bahar bhejna theek nahi.

Asli farak tab dikhega jab developers aur organisations in models ko apps aur services mein istemal karna shuru karenge. Performance ke independent tests aane ke baad hi inki tulna doosre models se saaf ho paayegi.

Sources:

• https://ianslive.in/indiaai-mission-releases-2-indigenous-ai-foundation-models–20261104090743
• https://www.digit.in/news/general/govt-launches-3-homegrown-ai-models-under-indiaai-mission-here-is-what-they-can-do.html
• https://indianmasterminds.com/news/indiaai-mission-eka-1-dhir-2b-dhir-5b-models-248027/

OpenAI ke India Managing Director Prabhjeet Singh ne kaha hai ki weekly active users ke hisaab se India ab ChatGPT ka sabse bada market ban gaya hai. Unke mutabik January 2026 se ab tak India mein ChatGPT ke weekly users lagbhag doguna ho chuke hain. Yeh jaankari unhone The Economic Times ko diye interview mein di, jise 3 November 2026 ko kai outlets ne report kiya.

Kya naya hai

February 2026 mein OpenAI ne bataya tha ki India mein ChatGPT ke 100 million se zyada weekly users hain aur us samay India doosra sabse bada market tha. Ab company ke India head ke anusaar India pehle number par aa gaya hai. Company ne naye kul user figure ka exact number public nahi kiya hai.

Singh ne yeh bhi kaha ki aane wale hafton mein UPI aur payments se jude announcements ho sakte hain. OpenAI pehle hi NPCI aur Razorpay ke saath ChatGPT ke andar UPI payment ka pilot chala raha hai.

India ke liye OpenAI ki priorities

• Hindi aur doosri Indian bhashaon mein, khaas kar voice ke zariye, behtar support
• Kam memory wale entry-level Android phones ke liye features
• Free aur Go plans ko support karne ke liye India mein ads ka vistaar; company ka kehna hai ki ads answers ko prabhavit nahi karte aur advertisers ko personal data nahi diya jaata
• Enterprise aur developers, jahan Codex ka istemal tezi se badh raha hai

Iska matlab kya hai

India mein AI tools ka istemal tezi se badh raha hai, aur iska seedha asar features par dikh sakta hai: zyada Indian bhashayein, sasti plans aur UPI jaise local payment options. Students aur young users ke liye yeh tools padhai aur kaam mein aam hote ja rahe hain.

Users ke liye zaroori hai ki AI se mili jaankari, khaas kar health, paise ya legal maamlon mein, kisi bharosemand source se verify karein. Ads wale free plans istemal karte waqt privacy settings bhi ek baar check kar lein.

Sources:

• https://indianstartupnews.com/news/india-overtakes-the-united-states-as-chatgpts-largest-market-user-base-doubled-in-10-months-12780027
• https://startuptalky.com/news/daily-indian-funding-roundup-key-news-3-november-2026/