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Xi Jinping wants a “World AI Organization.” Meta just lost $200B chasing superintelligence. And Wharton says the hype is over - AI is now daily work, not an experiment.
What are on FIRE 🔥
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AI INSIGHTS
Wharton just published its year-3 survey of 800+ U.S. enterprise leaders. The verdict is clear. Gen AI isn’t a pilot anymore - it’s a daily tool.
82% of large companies now use it weekly. 46% daily. 72% track ROI, and 74% already see real returns.
Where it pays off most:
Tech & Telecom: 88% positive ROI
Finance & Professional Services: ~83%
Manufacturing: 75%
Retail: 54%
The tools leading adoption: ChatGPT (67%), Microsoft Copilot (58%), Gemini (49%) - and most subscriptions are company-funded, not employee-expensed.
Common use cases: Data analysis (73%), Summarization (70%), Writing & editing (68%), Presentation creation (68%), Idea generation (66%)
Budgets are scaling fast. Two-thirds of enterprises spend $5M+ on Gen AI, and top-tier firms cross $20M. 88% expect to increase that next year, with 62% planning double-digit hikes.
Why it matters: AI in the enterprise has officially left the lab. It’s now infrastructure. The laggards - mainly Retail and Manufacturing - risk falling behind as peers cut legacy IT and reinvest in Gen AI workflows.
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The result: faster resolutions, 24/7 coverage, and a unified system for every customer call, whether it starts on telephony or WhatsApp.
AI SOURCES FROM AI FIRE
1. AI filmmaking: Mastering The Google Veo prompt for pro results. Go from a simple text idea to a polished video clip.
2. 10 actionable GPT-5 methods to supercharge your output. To apply ChatGPT-5's power, from deep financial analysis to building tools.
3. The "Gmail trick" for limitless AI coding access (yes, forever). We found a way to use top AI coders for free. It involves Rovo Dev and a simple Gmail trick.
4. How to start AI development without paying a cent. This is our guide to Google Colab, the free "Google Doc for code" that is right in your browser.
TODAY IN AI
AI HIGHLIGHTS
🔥 Xi Jinping proposed a global AI body at the APEC summit to rival U.S. dominance, suggesting a “World AI Cooperation Organization” in Shanghai. Meanwhile, DeepSeek promotes “algorithmic sovereignty” as China pushes its own AI agenda.
🖼️ Getty Images signed a major deal with Perplexity to license its visuals for AI search, ensuring proper image attribution and creator credit. This move sets a new standard for ethical AI content.
💰 Sam Altman snapped at questions about OpenAI’s $13B revenue, saying it’s actually “well more” and that growth is steep. He hinted at new AI clouds, consumer devices, and science automation tools driving future profits.
📉 Meta lost $200B in market cap after massive AI spending with little revenue to show. Zuckerberg defended the costs, saying the new Superintelligence Lab will bring “frontier models” soon.
📊 Reddit CEO Steve Huffman said AI chatbots don’t drive traffic - Google and direct visits still lead. Reddit’s AI-powered Answers now handle 20% of searches, with deeper integration coming next.
💰 AI Daily Fundraising: Microsoft expanded its partnership with OpenAI, now holding a $135B stake (27% of OpenAI Group PBC). The new deal extends Azure’s exclusive rights through 2032 and lets both companies independently pursue AGI development.
NEW EMPOWERED AI TOOLS
💻 Cursor 2.0 adds its first coding model + agent interface, with browser, voice mode & code review.
📱 v0 for iOS lets you build full-stack apps with AI, from design to deployment on the go.
💵 Sentra by Dodo helps you monetize software with prompts, automating billing & revenue actions.
📆 Postiz is the AI agent for social scheduling, posting to 20+ channels with full MCP integration.
HOT PAPERS OF THE WEEK
Tongyi DeepResearch Technical Report
Alibaba’s open-source agentic framework trains autonomous research AIs end-to-end, hitting 32.9 on Humanity’s Last Exam using just 3.3B active params. (Alibaba Group)Emu3.5: Native Multimodal Models Are World Learners
BAAI’s Emu3.5 learns from internet videos to generate and understand mixed vision-text content, running 20× faster with its new DiDA technique. (BAAI)SPICE: Self-Play In Corpus Environments Improves Reasoning
Meta & NUS built SPICE, where LLMs self-play on document corpora to sharpen reasoning - boosting benchmark scores by up to 11.9%. (Meta FAIR • NUS)AgentFold: Long-Horizon Web Agents with Context Folding
AgentFold folds web interaction histories for long reasoning, reaching 62.1% on WideSearch while using 92% less context. (Tongyi Lab • Alibaba Group)The End of Manual Decoding
Tencent’s AutoDeco predicts decoding parameters like temperature in real time - achieving fully end-to-end text generation with stronger control and fluency. (Tencent AI Lab • CUHK-Shenzhen)
AI CHART
Meta FAIR just dropped SPICE (Self-Play In Corpus Environments) - a new framework where AI teaches itself to think better using the internet as a playground. It improves reasoning by playing against itself with real-world data.
Here’s the setup:
Challenger: Makes reasoning tasks from real docs.
Reasoner: Solves them without seeing the text.
Both co-train in a feedback loop using DrGRPO to balance difficulty.
It’s trained on 20,000 real documents (Nemotron-CC-Math + NaturalReasoning) and checked by Math-Verify for accuracy.
Results: SPICE beat older self-play methods (R-Zero, Absolute Zero) across 11 reasoning tests:
Model | Gain | Example |
|---|---|---|
Qwen3-4B | +9.1% | 35.8 → 44.9 |
Qwen3-8B | +5.7% | 43.0 → 48.7 |
OctoThinker-8B | +11.9% | 20.5 → 32.4 |
Without real docs, scores dropped from 43.9% → 40.7%.
SPICE hints at the next phase - AI that keeps learning and thinking on its own.
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