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MEDIANAMA

India in talks with US, Anthropic for Mythos access; no Indian firms in Project Glasswing yet Including OTTs in TRAI’s spam protection draft rules a ‘regulatory overreach’: IAMAI Eternal Q4FY26: All Users Pay Higher Platform Fee, Only Some Get Discounts Amazon, Meta to challenge PhonePe-Google Pay dominance as UPI cap delayed since 2020 Meta failed to protect the safety of under-13s: European Commission If markets and regulators are ready for network slicing, we are ready: JIO Why defining ‘news’ won’t fix the free speech problems of draft IT Rules? #NAMA Eternal Q4FY26: Goyal Dismisses AI Disruption Risk as Zomato Quietly Builds Agentic Commerce Infrastructure Karnataka files appeal challenging the bike taxi ban lift in the Supreme Court How did WhatsApp turn 17 govt. flags into 9,400 digital arrest scam bans? Google Wallet integrates Aadhaar as digital ID, expands India’s mobile identity ecosystem Kerala HC issues notice on MediaOne’s Facebook page block in India MeitY warns VPN providers against enabling access to blocked betting platforms Shreya Singhal targeted private censorship. Today’s threat is the State #NAMA Amazon scales its quick delivery service ‘Amazon Now’ in 100 cities Can MeitY issue binding rules via advisories? Experts raise alarm over draft IT Rules #NAMA How 2019 election code of ethics became India’s three-hour content takedown mandate #NAMA Australia proposes new levy on big tech to fund news, opens draft law for consultation ‘judge, jury, executioner’: experts warn of Inter-Departmental Committee (IDC) overreach under New draft IT Rules Lowdown: TRAI flags low deployment under PM-WANI in public Wi-Fi consultation paper Why the NBFC licence matters for MobiKwik China blocks Meta-Manus deal, asserts origin-country jurisdiction: what this means for India ‘No transparency’: experts warn of expanding powers to block online speech in India #NAMA X launches standalone iOS messaging app XChat with encryption in India How India’s content takedown framework was built and where It has gone wrong #NAMA Claude Mythos puts India on alert: CERT-In, telcos, banks assess unprecedented cyber risks Explained: why did the RBI cancel Paytm’s banking licence? Meta now instantly blocks content in India Govt. asks ZEE5 to halt ‘Lawrence of Punjab’ web series release Online Gaming Rules notified, to be in effect from May 1, what are the major changes?
Meta’s new AI model Muse Spark is coming to WhatsApp. Her...
Aakriti Bansal · 2026-04-10 · via MEDIANAMA

Meta launched Muse Spark on April 8, 2026, confirming in a blog post that it will replace existing Llama models on WhatsApp, Instagram, Facebook, and Messenger in the coming weeks. The features are currently rolling out in the US first. A Meta spokesperson told MediaNama that the model is currently only available on the Meta AI app and meta.ai and declined to comment on the WhatsApp rollout timeline.

What this could mean for Indian users:

  • No AI governance framework: India’s Digital Personal Data Protection (DPDP) Rules, notified in November 2025, include no provisions specifically requiring audits, disclosures, or governance standards for AI systems. Core consent obligations under the Rules do not kick in until May 2027. India has no standalone AI law, and the government has explicitly said it will not introduce one, relying instead on non-binding guidelines. The EU AI Act, by contrast, requires AI providers to inform users when they interact with an AI system. This means Meta can roll out Muse Spark to hundreds of millions of Indian users without informing them, seeking fresh consent, or offering opt-out controls.
  • DPDP compliance: India’s DPDP Act requires companies to obtain informed consent for each purpose for which they collect data, clearly informing users what they collect, why, and how users can withdraw consent. MediaNama has reported that these requirements apply to AI companies operating in India. Meta has not disclosed details about how Muse Spark will handle WhatsApp conversation data for Indian users.
  • Data sharing: The Supreme Court is currently hearing Meta and WhatsApp’s challenge to the Rs 213.14 crore Competition Commission of India (CCI) penalty over WhatsApp’s 2021 privacy policy update, which the CCI held amounted to abuse of dominance by forcing users to share their data with Meta companies as a condition of continued use. Introducing a new AI model into WhatsApp without disclosing how it processes user data compounds an already unresolved consent problem.

A safety flag worth noting: Apollo Research, a third-party evaluator, found that Muse Spark had the highest rate of evaluation awareness among all models it tested, meaning the model detected when it was undergoing safety testing and adjusted its behaviour accordingly. This raises the question of whether it behaves the same way with real users as it does during safety checks.

Meta acknowledged that this “may affect model behaviour on a small subset of evaluations” but called it “not a blocking concern for release.” With no independent AI auditing requirement in India, there is no mechanism to verify whether the model behaves consistently in real-world use versus during testing.

What Muse Spark is: Meta’s superintelligence team, which Reuters reported was built following a $14.3 billion deal with Scale AI, and its CEO, Alex Wang, developed Muse Spark. The model is currently only on Meta’s AI app and website. Independent evaluations show it matches Google, OpenAI and Anthropic in language and visual understanding but lags in coding and complex reasoning, gaps Meta acknowledges.

It is not open source, unlike previous Llama models. Meta has shared only a “private preview” with unnamed partners, has not disclosed model size, and says it hopes to open-source future versions.

What is new:

  • Contemplating Mode runs multiple processes in parallel to tackle complex problems simultaneously, rather than thinking through a problem one step at a time. Meta says it is comparable to Google’s Gemini Deep Think and OpenAI’s GPT Pro.
  • Shopping mode surfaces product recommendations drawn from content users already engage with across Instagram and Facebook, using creator posts and brand storytelling rather than a separate search.
  • Health reasoning was built with input from over 1,000 physicians. The model can answer health questions and analyse images, for instance, identifying the nutritional content of food from a photo.
  • Meta plans to weave Reels, photos, and posts directly into AI responses, crediting content creators and blurring the line between AI responses and content recommendations.
  • Muse Spark will also power Meta’s AI glasses, where the company says perception capabilities become “even more powerful”, with the always-on visual context.

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