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What You See Is Not What You Get (WYSIWYG) in AI

  Why WYSIWYG Is Not True for AI If you’ve been around technology for a while, you’ve probably heard the term WYSIWYG – What You See Is What You Get . It came from visual editors where the screen showed you exactly what would be printed or published. With AI, especially tools like ChatGPT, that idea is dangerously misleading. With AI, what you see is not what you get. The FOMO Trap: “ChatGPT Will Do Everything for Me” We’re in a moment of massive FOMO around AI. You see headlines, demos, Twitter/X threads, LinkedIn posts – and it’s easy to think: “If I just use ChatGPT (or any popular chatbot), it’ll handle everything I ever wanted to do.” That is wrong . For most people and organizations, blindly relying on a general-purpose chatbot is like hiring a very confident intern who: Has read a lot, Talks smoothly, But is not accountable for mistakes …and you rarely know when they’re wrong. If you’re using a free or cheap LLM plan and treating its answers as “tru...
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The Green Thumb of Creative Leadership: Stop Being a Traffic Cop and Start Pruning

I recently attended a fantastic session on cultivating creativity at the really awesome MarketingProfs   #mpb2b conference , and my main takeaway was simple but profound:  don't be a traffic cop to creativity. Speaker Melanie Deziel used a brilliant metaphor, suggesting we treat our creative process—and our teams—like a garden. Our job isn't to control every movement (the traffic cop), but to act as a skilled gardener, directing the growth so that people and ideas can truly thrive. It’s about knowing exactly  when to trim the bushes (pruning) and when to let the plant grow (planting). his model breaks creativity down into an intentional, two-part system that ensures you get both breakthrough ideas  and  feasible results. The Two Essential Phases of Creative Growth Forget the idea that creativity is a single brainstorm. It’s actually the combination of two distinct types of thinking that must be separated and encouraged in a specific order: Divergent Thinking (T...

Sovereign AI: Why Owning the Algorithms is the New National Security

By Shashi Bellamkonda| Geopolitical Tech Analysis The Geopolitical Risk That Spans the Supply Chain We spent a decade arguing about data residency: making sure our sensitive customer files were physically stored in our country. Honestly, that fight is over.  The new, much more complex geopolitical challenge is this: if your country’s defense systems, critical infrastructure, and economic planning rely on an AI model trained and controlled by a foreign power, you have a massive national security vulnerability. The non-obvious strategic consequence is that the AI model itself - the algorithm and the chips it runs on - is the new critical national infrastructure. This realization is why countries like South Korea are driving the movement toward Sovereign AI . Sovereign AI is the Full Stack Sovereign AI is not just a buzzword; it’s a national project that seeks to own and control the entire technology stack under domestic jurisdiction. This is a massive, three-layered investment plan: ...

Claude Opus 4.5: First Model to Break 80% on SWE-Bench

On November 24, 2025, Anthropic released Claude Opus 4.5, becoming the first language model to exceed 80% accuracy on SWE-Bench Verified—a respected benchmark measuring real-world software engineering capabilities. The model achieved 80.9% accuracy, setting a new standard for AI coding performance. The release comes days after Google's Gemini 3 (November 18) and OpenAI's GPT-5.1 (November 12), marking an intense period of competition among frontier AI models. Anthropic also significantly reduced pricing from the previous Opus model, making it more accessible for production use. Source: Anthropic announcement, TechCrunch, CNBC, November 24, 2025 What Changed Claude Opus 4.5 is Anthropic's flagship model, completing the 4.5 series that includes Sonnet 4.5 (September) and Haiku 4.5 (October). According to Anthropic, the model demonstrates improvements across multiple areas: Coding Performance: First model to achieve over...

Icertis Buys Dioptra: AI Contracts Get Smarter

Icertis acquired Dioptra, an AI company focused on playbook-driven, pre-signature contract review and accuracy. Icertis positions this as a step toward more autonomous contract review using its contract intelligence platform and data. Background of the companies Icertis    - Founded in 2009.   - Provides Contract Lifecycle Management and what it calls Contract Intelligence software.   - Positions its platform as centralizing contracts, integrating with systems like CRM and ERP, and applying AI over unified contract data. Dioptra    - Focuses on AI for legal and contract workflows.   - Builds tools for automated redlining based on customer playbooks and for tracking and improving AI accuracy for legal teams. Who buys their product - Large and upper mid-market enterprises.   - Main buyer and influencer groups:   - General counsel, legal, and legal operations.     - Procurement and sourcing leadership. ...

Ooma's Acquisition Strategy: Exploiting the Service Provider Trap

  Ooma's Acquisition Strategy: Exploiting the Service Provider Trap Analysis of Ooma's Acquisition of Phone.com The Most Expensive Customer is the New One In the world of Unified Communications (UCaaS), acquiring a new small business customer through marketing and sales can cost a fortune. It's a crowded market, and Customer Acquisition Cost (CAC) often eats up the first 12 to 18 months of revenue. If you're running a business, you know that’s not a path to sustained profit. Ooma, however, just avoided that expensive trap entirely. By acquiring Phone.com for $23.2 million, Ooma is making an aggressive, smart bet that it's cheaper to buy established, high-retention revenue than to market for it. This move isn't about product features; it's about financial engineering in a fragmented B2B market. Buying High-Quality, Pre-Qualified Revenue The verified fact is that Ooma (NYSE:OOMA) is acquiring Phone.com for ap...

ServiceNow is Not Building a CRM: It's Building the System of Action

  The CRM Problem Isn't Data. It's Seven Logins. Let's be real about Customer Relationship Management today. The core problem isn't that you don't have enough customer data; it's that your team has to "go to seven different clouds to manage a customer relationship." That's the quote that hits hardest. You have one system for configuring quotes (CPQ), another for logging sales (CRM), another for service tickets (CSM), and another for billing. That siloed complexity isn't a strategy; it's friction. ServiceNow’s play in this space isn't to build a better version of that broken system. Their strategy is to bypass the whole mess by becoming the unified System of Action that orchestrates the entire flow. Building the CRM Backward: Service-to-Lead Forget the old model where CRM was a "System of Record", a place to store data. ServiceNow is focused on action. They want to be the "service management sensation" that uses AI a...