Check Out The Full Newsletter Here! 1. DeepSeek's R1-0528 Shows Heavy Government Censorship - Updated reasoning model refuses 85% of politically controversial questions - Dubbed "most censored model for criticism of Chinese government" despite performance gains - Accuracy improved from 70% to 87.5% with reduced hallucinations, nearly matching OpenAI's o3 - Global concern about Chinese-influenced narratives spreading through open-source AI models 2. Perplexity Labs Delivers 10-Minute Project Completion - New autonomous tool for Pro users creates reports, spreadsheets, and dashboards - Combines web browsing, code execution, chart creation, and image generation - Completes multi-day projects in minutes including ad strategies and financial analysis - Functions as comprehensive research and analysis team replacement 3. Amazon-New York Times Partnership Powers Alexa - Multi-year deal allows NYT content including Cooking and Athletic to train Alexa - Proper attribution through article links addresses copyright concerns - Partnership aims to make quality journalism more accessible while maintaining payment principles Other Developments: - UPS saves $400M annually using AI-powered ORION routing system with 10M+ gallons fuel reduction - New AI tools: AngelQ (kid-safe browser), Alumnium (website test automation), BestCreator (content generation) - Enterprise focus: Upscaile's AI audits saving 80,000+ manual work hours across 100+ companies What's your perspective on these developments? Should Western developers be concerned about building on heavily censored Chinese AI models, or do the performance benefits outweigh potential bias risks?

This may be controversial, but most businesses are implementing AI backwards. They buy tools before defining problems. Here's why so many AI implementations fail before they start: 🔍 No clear business problem to solve - just chasing buzzwords. 🚀 Team lacks fundamental AI literacy to evaluate actual capabilities. 💼 Security protocols don't exist for sensitive data flowing into AI tools. 🔄 No measurement framework to determine if the AI is even working. AI isn't a productivity hack - it's a business strategy. A ChatGPT subscription isn't an implementation plan. Success comes from starting small, measuring results, and scaling gradually. How to implement AI the right way: ✅ Document one specific workflow that causes consistent headaches. ✅ Create clear guidelines about what data can be processed through AI. ✅ Train your people before buying tools they won't understand so they know what to look for. Most leaders feel overwhelmed trying to keep up with AI advancements. You're not supposed to know everything about this technology. We don’t either…& it’s rapidly evolving. What mistake have you seen organizations make when implementing AI? The lessons are in our collective failures This is the opportunity that intensifies and presents itself more and more each day to professionals. Whether you supply services to companies or work within them and want to become irreplaceable, this is your time to make a difference. While others fail miserably, take your time to do it right, and your positioning will thank you for it!

Check Out The Full Newsletter! 1. NVIDIA's Third Export Restriction Workaround - New cheaper AI chip designed specifically for China launching next month - Blackwell-based chip priced at $6,500-$8,000 vs restricted H20's $10,000-$12,000 - Market share plummeted from 95% to 50% since 2022 US export restrictions began - CEO Jensen Huang calls restrictions "a failure" warning they'll accelerate China's chip independence 2. Microsoft's AI Weather System Beats Expert Forecasters - Aurora AI trained on 1M+ hours of weather data outperforms traditional meteorology - Predicted Philippines' Typhoon Doksuri 4 days in advance, beating expert predictions - Generates forecasts in seconds vs hours for legacy supercomputer systems - Open-source model integrating into MSN weather app for hourly forecasts 3. OpenAI Expands into South Korea - First Seoul office opening to serve second-largest ChatGPT subscriber base globally - Follows recent Japan and Singapore office launches as Asian expansion continues - Partnership expansion with KakaoTalk messaging app used by 90% of South Korean population Other Developments: - AI consulting market projected 8X growth to $54.7B by 2032 - Featured startup: Mem AI ($110M valuation for GPT-4 powered note-taking) - Quick hits: OpenAI upgrades Operator, Google rolling out AI commute congestion model What's your perspective on these developments? Is NVIDIA's strategy of creating export-compliant chips the right approach, or will it ultimately accelerate China's domestic chip development as Jensen Huang warns?

Check Out The Full Newsletter Here! 1. OpenAI Acquires Jony Ive's AI Device Startup - $6.5B acquisition of Io marks OpenAI's largest deal to date - 55 ex-Apple engineers to develop screenless, compact consumer device - Product designed to "move consumers away from screens" shipping in 2026 2. Google Tests Ads in AI Mode - New advertising integration within AI-powered search responses - Ads will appear "where relevant" with clear "sponsored" labels - Move follows expansion of AI Overview ads from mobile to desktop 3. Meta Launches Startup Incentive Program - "Llama for Startups" offers up to $6K monthly funding for qualifying companies - Direct technical support provided to encourage adoption over competing models - Program targets US startups with under $10M funding and developer teams Other Developments: - New AI tools: DataStax (enterprise AI accuracy), Ryse (smart home investment) - Featured startup: PhotoPrism (bootstrapped AI photo management) - Quick hits: Amazon testing AI audio summaries, Volvo installing Google Gemini What's your perspective on these developments? Could OpenAI's hardware ambitions with Jony Ive create a breakthrough consumer AI device, or is this a risky expansion beyond their core expertise?

Check Out The Full Newsletter Here! 1. Google I/O 2025 Unveils Extensive AI Lineup - AI Mode for Search launches in US with Deep Search and Personal Context features in testing - New shopping capabilities including virtual try-on and agentic checkout - Updated Gemini 2.5 Pro available to trusted testers for complex tasks and app creation 2. Apple Plans to Open AI Models to Developers - WWDC announcement expected June 9th for third-party Apple Intelligence integration - SDK will initially focus on smaller, device-local models rather than cloud-based solutions - Strategy aims to recover from disappointing Apple Intelligence reception and delays 3. NVIDIA CEO Questions China Export Controls - Jensen Huang claims restrictions accelerated China's domestic AI development - Company's market share in China dropped from 95% to 50% under Biden administration - Warns US could forfeit up to $50B if restrictions aren't reduced Other Developments: - New AI tools: Innovating with AI (consultant training), Upscaile (business AI audit) - Featured startup: DeepL ($2B value, $315M Series C for AI translation) - Quick hits: Google committing $150M to AI glasses, providing AI job training to 66,000 students What's your perspective on these developments? Is Google's comprehensive AI rollout positioning it to take back ground from OpenAI and other competitors?