Truecaller vs Xiaomi

Truecaller launches Scam Checker for the open web

Truecaller, the Swedish caller ID app with over 500 million monthly users, has launched Scam Checker, a free web and Android service that lets users check suspicious phone numbers, links, or messages for fraud without needing an account or app installation. For numbers, it cross-references a database of known spam; for links, it expands shortened URLs and checks against a risk database; for messages, it compares content against community-reported scams. Initially available in India, the tool will expand to Latin America, the Middle East, Africa, and Southeast Asia. Scam Checker leverages Truecaller's community-powered ScamFeed and broadens the company's focus into general scam detection. This move comes amid competitive pressure in India and alarming global scam statistics. Truecaller plans to add support for more scam types and allow screenshot uploads.

• Truecaller launched Scam Checker, a free web and Android service, on September 27, 2026, allowing users to check phone numbers, links, and messages for scams without registration.
• Scam Checker is initially available in India and will expand to Latin America, the Middle East, Africa, and Southeast Asia.
• The tool expands shortened URLs, cross-references phone numbers against known spam databases, and compares messages to community-reported scams.

India Mandates Caller-ID Apps Share Spam Reports with Telcos

India's telecom regulator, TRAI, has amended rules to require caller-ID and call-management apps, such as Truecaller, to share user spam reports with telecom operators via a blockchain-based platform. The move aims to broaden the spam report pool for enforcement. Truecaller, which has over 500 million monthly active users globally and 350 million in India, called the requirement anti-competitive, citing a one-way exchange of valuable data. The amendments also bring AI-powered and automated calls under the A2P framework, requiring declaration to operators or being treated as spam. Telecom operators may levy termination charges up to 5 paise per minute. The rules raise questions about data sharing scope, enforcement, and consent. India reported around 42 billion spam calls in 2025, with Truecaller blocking 12 billion.

• TRAI amended rules requiring caller-ID apps to share spam reports with telecom operators via a blockchain platform.
• Truecaller called the mandate 'anti-competitive', citing a 'one-way exchange' of data.
• India had around 42 billion spam calls in 2025, according to a Truecaller report.

Investor Presentation Released: truecaller.com

AI parsed presentation narrative: Truecaller positions itself as the essential global platform for safe and trusted communication, focusing on building trust by mitigating endemic fraud and unwanted communication in digital economies, particularly within emerging markets. Strategic pillars: Trust in Communication, Fraud Prevention.

Qualcomm's Snapdragon 8 Elite Gen 6 Breaks 5 GHz Barrier

Qualcomm has announced two new flagship smartphone processors at its Snapdragon Summit 2026: the Snapdragon 8 Elite Gen 6 and the Snapdragon 8 Elite Extreme Gen 6. The Gen 6 is the first smartphone chip to reach 5 GHz clock speed on its prime cores, a milestone previously associated with PCs. The chip offers a 10% increase in compute performance or 37% better energy efficiency at the same performance, and a 35% faster Adreno GPU, enabled by a new 2nm manufacturing process, likely TSMC's N2P. The Extreme variant enhances the GPU with three matrix cores for AI-based gaming upscaling and frame generation, a feature Qualcomm calls 'Neural Fusion.' First devices featuring these chips are expected soon, with Xiaomi and Motorola among the first to announce models.

• Qualcomm unveiled the Snapdragon 8 Elite Gen 6 and Snapdragon 8 Elite Extreme Gen 6 at its Snapdragon Summit 2026.
• The Snapdragon 8 Elite Gen 6 is the first smartphone chip to reach 5 GHz clock speed on its prime cores.
• The Gen 6 chip offers 10% more compute performance or 37% higher energy efficiency at the same performance compared to the previous generation.

Xiaomi MiMo-V2.6-Pro tops open-weight AI models

Chinese electronics giant Xiaomi released its MiMo-V2.6 series of open-weight AI models under the MIT license on Hugging Face. The flagship MiMo-V2.6-Pro scored 46 points on the Artificial Analysis Intelligence Index, making it the highest-ranked open-weight model globally, surpassing GLM-5.3 and Kimi K3. It trails only proprietary models like Claude and GPT-6, ranking sixth overall. The model features a sparse mixture-of-experts architecture with 1.02 trillion total parameters (42 billion active), supports text, image, speech, and video input, and offers a one-million-token context window. Xiaomi trained the models using scaled reinforcement learning, live-streaming the production run and releasing weights, technical reports, and training code. The series also includes MiMo-V2.6-Flash and a faster UltraSpeed variant. API pricing remains unchanged from the previous generation.

• Xiaomi released MiMo-V2.6-Pro, the top open-weight AI model with 46 points on the Artificial Analysis Intelligence Index.
• The model has 1.02 trillion parameters (42 billion active), a 1 million token context window, and multimodal input.
• Xiaomi trained the models using reinforcement learning over 750,000 trajectories in under six days.

Xiaomi MiMo-V2.6-Pro tops open weights, trained for $3M

Xiaomi released MiMo-V2.6-Pro, a natively omnimodal open-weights model with 1.02T total / 42B active parameters, trained for $3M (about 130 hours and 75B tokens). It debuts as the top open-weights model on Artificial Analysis' Intelligence Index (46) with cost efficiency at $0.435/M input and $0.87/M output tokens, under an MIT license. Xiaomi also open-sourced the RL training environment code and recipes, but not the full 7k+ task datasets, signaling an emphasis on transparency in RL training.

• Xiaomi released MiMo-V2.6-Pro and MiMo-V2.6-Flash, natively omnimodal open-weights models.
• MiMo-V2.6-Pro has 1.02T total / 42B active parameters and tops the Artificial Analysis Intelligence Index at 46.
• RL training run cost $2.6M, used 75B tokens over 130 hours.