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💰 DeepSeek Makes 75% Price Cut Permanent

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Welcome back to BrainBuzz

Today’s Recipes:

  • 💰 DeepSeek Makes 75% Price Cut Permanent

  • 🚨 AI is killing the cheap smartphone.

  • 🤖 AI Claims to Translate Pets With 95% Accuracy

  • Ferrari Uses IBM AI to Build Superfans

  • Plastic Surgeons Face Rise of AI Faces

  • Turn Off AI in Google Search Easily

  • AI Tutorial of the Day

  • And More….

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LATEST DEVELOPMENTS

DeepSeek permanently slashes V4 Pro prices by 75%, undercutting GPT-5, Gemini, and Claude, intensifying the AI price war and raising questions about quality, compliance, and geopolitics.

🔍 Details

  1. DeepSeek made its 75% discount permanent, pricing V4 Pro at $0.87 per million output tokens.

  2. This undercuts rivals: GPT-5 ($10), Claude ($25), Gemini ($0.60).

  3. The move prioritizes market share over revenue, targeting enterprises with huge token usage.

  4. Enterprise savings could be massive—Salesforce projected $300M in Claude tokens; DeepSeek would cost far less.

  5. Risks remain: unresolved IP theft accusations from Anthropic and geopolitical concerns with a Chinese provider.

  6. The cut accelerates AI commoditization, threatening high-margin token economics across the industry.

  7. DeepSeek’s 1M-token context window makes it attractive for legal, code, and document-heavy tasks.

🎯 Takeaway: DeepSeek’s aggressive pricing forces a reckoning: enterprises must weigh huge savings against trust, compliance, and geopolitical risk. The AI price war is officially in full swing.

AI’s hunger for DRAM has redirected supply from phones to data centers, spiking memory prices 250% and collapsing cheap smartphone markets, leaving millions priced out worldwide.

🔍 Details

  1. Memory makers shifted DRAM wafers from phones to AI chips.

  2. LPDDR prices surged up to 250%, making budget phones uneconomical.

  3. India’s sub-$100 smartphone market collapsed 59% year-on-year.

  4. Africa, where most phones cost under $200, faces mass exclusion from internet access.

  5. Major brands like Transsion, Oppo, Vivo, and Xiaomi slashed shipments due to costs.

  6. Apple and Samsung face soaring component costs, with iPhone memory up 230%.

  7. Hyperscalers like Microsoft and Google outbid consumer markets for DRAM.

🎯 Takeaway: AI’s rise is reshaping the tech economy: while memory makers and hyperscalers profit, cheap smartphones, the gateway to internet access for billions, are vanishing, deepening the digital divide.

Chinese startup Meng Xiaoyi launches AI pet translator claiming 95% accuracy, sparking excitement and skepticism as 10,000 preorders roll in despite no published scientific validation.

🔍 Details

  1. Pet translator apps existed before, mostly for fun, not science.

  2. Startup Meng Xiaoyi (Hangzhou) claims its device truly works.

  3. Preorders opened in May; 10,000 units already reserved.

  4. Device costs 799 yuan (~$118).

  5. Powered by Alibaba Cloud’s Qwen model, analyzing animal voiceprints and traits.

  6. Worn around the pet’s neck, translating behavior and emotions into speech with 95% claimed accuracy.

  7. Skepticism remains, no published data or studies yet.

  8. Early investors contributed $1M, showing confidence but not proof.

🎯 Takeaway: If real, this device could revolutionize human-pet communication. But without scientific validation, it’s more hype than certainty, buyers should balance excitement with skepticism.

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MORE AI & TECH UPDATES

Ferrari has teamed up with IBM to transform Formula One fan engagement through artificial intelligence…

The class of 2026 faces one of the toughest job markets in decades, with artificial intelligence reshaping entry-level opportunities and fueling widespread underemployment…

Plastic surgeons across the UK are reporting a surge in patients requesting cosmetic procedures inspired by AI-generated images…

Google’s AI Overviews in Search have sparked mixed reactions, with many users finding them intrusive or unnecessary…

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HOW TO AI

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Key Highlights:

  • Start with a Clear Purpose.

  • Leverage No-Code and Low-Code Platforms.

  • Focus on Iterative Development.

  • Prioritize Data Privacy.

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