Mailr — Friday, 9 October 2026
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| FRI, 9 OCT, 2026 |
ISSUE # 82 |
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GTA 6 is still loading. Meanwhile, a 14-kg Indian satellite is running AI models in orbit.
Below: why AI compute isn’t what’s stretching Indian game studios, DeepSeek’s $12 billion war chest, and the 100 million voice-AI conversations Indians are already having. |
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📋 In today's Mailr:
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🌍 Global AI |
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DeepSeek nears $12 billion round ahead of 2027 IPO |
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Image source: Google Nano Banana 2 |
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DeepSeek is closing at least 80 billion yuan (~$12B), above its earlier 50B yuan target, with CATL and Tencent among the largest backers. No valuation has been reported for this round. |
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The lab, which long ran on founder Liang Wenfeng's quant-fund money, is also preparing a possible listing on Shanghai's STAR Market in early 2027. Its open-weight models helped push US frontier labs to cut prices last month. |
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Bottom Line: Open-weight AI, meaning models whose code and weights are publicly released, is now attracting frontier-scale capital. If your product depends on the price advantage of open models over closed ones, that advantage is now structurally defended. |
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🇮🇳 India |
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Indian startup puts an AI inference satellite in orbit |
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Image source: Google Nano Banana 2 |
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TakeMe2Space's MOI-1A, a 14-kg satellite launched on SpaceX's Transporter-18, runs AI inference, meaning it processes imagery onboard and sends back results, not raw data. This can shrink 300 GB of radar imagery to a few kilobytes. |
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23 customers are signed, ~80% outside India, across agriculture, defence and insurance. A six-satellite constellation is planned by 2028, targeting $6M in annual recurring revenue. MOI-1B follows in November on ISRO's SSLV. |
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Bottom Line: Running AI inference, meaning processing data and returning answers rather than raw files, at the data source is a pattern moving from satellites to factory floors to phones. Builders relying on bulk data pipelines should ask whether sending answers instead of feeds changes their architecture. |
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Not just GTA 6, your next favourite game faces delays |
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Image source:Google Nano Banana 2 |
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JP Morgan estimates DRAM prices will rise more than 400% between early 2024 and end of 2026, as chipmakers shift production to high-bandwidth memory for AI data centres, squeezing gaming hardware supply. |
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Indian mobile studios feel it unevenly: Funcell Games flags rising GPU costs, Felicity Games says people and user acquisition still cost more, and Metasports only rents cloud GPUs. AI compresses months of asset work into weeks, offsetting some pressure. |
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Bottom Line: AI is making some production steps cheaper and others far more compute-intensive at the same time. Whether that nets out as a cost problem depends on whether you own hardware or rent it, and how deeply AI is embedded in your pipeline. |
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India runs 100 million AI voice conversations a year, says ElevenLabs |
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Image source: Google Nano Banana 2 |
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ElevenLabs says Indian businesses run ~100 million AI-agent voice conversations a year on its platform across 14 languages, with 250 enterprise customers including PhysicsWallah, Havells and Razorpay. India is its largest market outside the US. |
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Over 25,000 developers use its API monthly in India, up 2.5x in a year. Co-founder Staniszewski says Hindi shaped the model architecture from day one, rather than being adapted from English, and plans to grow the local team to ~100. |
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Bottom Line: Voice AI in Indian languages is past the pilot stage, with volume deployments already running at enterprise scale. ElevenLabs' bet that native-language architecture beats bolted-on translation is a direct challenge to any Indian voice AI player still adapting English-first models. |
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⚡ Mailr Signal |
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DeepSeek's jump from a 50B yuan target to an 80B yuan close, with industrial giants like CATL writing large cheques, signals that open-weight AI is no longer a scrappy alternative to frontier labs. It is becoming its own capital-heavy infrastructure tier, with IPO ambitions to match.
Our take, not a news summary.
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🛠️ Tool of the Day |
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Fliki AI
Transforms text into professional videos using AI voice synthesis.
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Supports Hindi with 13 voices across eight TTS engines for Indian creators. |
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Over 100 million videos created and 14 million users worldwide. |
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Best for: Best for social media managers and educators turning scripts into videos at volume. |
View tool →
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📱 Social Scan |
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 An interesting use case for Dots, OpenAI's newly launched always-on agent.
View post →
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🧠 Knowledge Bank |
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Weak AI: Narrow, Bounded, Brilliant
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Weak AI or Narrow AI focuses on one specific task within a strictly defined scope. IBM's Deep Blue defeated chess champion Kasparov in 1997 by evaluating 200 million positions per second, yet cannot transfer this expertise to other domains. Netflix recommendations, Google Maps navigation, and medical image analysis systems exemplify this bounded excellence. |
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Indian builders gain competitive advantage by developing narrow AI solutions for India-specific problems rather than competing in general-purpose AI. With Bhashini's multilingual infrastructure, 20,000 new GPUs via IndiaAI Compute Portal, and regulatory compliance needs, builders can create world-class narrow solutions for healthcare, agriculture, legal, and education sectors. |
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ਫਿਰ ਮਿਲਾਂਗੇ
That's a wrap. Got a founder tip, a tool worth covering, or a take we got wrong? Reply and let's talk.
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