Claude Opus 4.6: Anthropic Pushes AI Toward Long-Horizon, Agentic Work - What’s happening: Anthropic has released Claude Opus 4.6, its most advanced AI model to date, designed to handle long-horizon reasoning and agentic workflows rather than isolated prompts. With support for a 1-million-token context window, the model is built to sustain planning, memory, and execution across extended tasks — from complex coding and research to real-world knowledge work that unfolds over time.

Why it matters: As AI systems move into operational roles, the challenge isn’t generating answers — it’s maintaining coherence, reliability, and oversight across long workflows. Claude Opus 4.6 reflects Anthropic’s push to make AI a dependable partner for multi-step work, not just a fast response engine.

ChatGPT Begins Testing Ads While Keeping Answers Independent and Conversations Private - What’s happening: OpenAI has begun testing advertising inside ChatGPT for logged-in adult users on the Free and Go tiers in the United States. The company says ads are clearly labeled, visually separated from responses, and do not influence how ChatGPT answers questions. Conversations remain private from advertisers, and paid tiers — including Plus, Pro, Business, Enterprise, and Education — continue to be ad-free.

Why it matters: As AI tools become everyday infrastructure for learning, work, and decision-making, funding models matter. OpenAI’s test explores whether limited, clearly separated advertising can help support free access to AI — without compromising trust, privacy, or answer quality.

Databricks CEO says SaaS isn’t dead, but AI will soon make it irrelevant - What’s happening: In a wide-ranging discussion with TechCrunch, Databricks CEO Ali Ghodsi pushed back on the idea that software-as-a-service (SaaS) is dying — but warned that AI is rapidly shifting where value lives in software. Rather than killing SaaS outright, Ghodsi says AI is increasing usage and nudging companies toward data and AI platforms that power modern workflows. The company just hit a $5.4B revenue run rate, with AI products driving massive growth, and is positioning itself as a core player in the future of enterprise tech.

Why it matters: If AI is reshaping traditional software economics, the enterprise tech landscape — and how companies buy and build tools — could look very different in the years ahead.

Ex-Googlers are building infrastructure to help companies understand their video data - What’s happening: A new startup called InfiniMind, founded by former Google Japan leaders, is tackling a big problem: the mountains of unstructured video data businesses collect but rarely analyze. Their infrastructure platform uses enterprise AI to convert massive video archives into searchable, structured business intelligence — whether it’s decades of broadcast footage or hours of store cameras.
Why it matters: As companies generate more video than ever, turning that dark data into actionable insights could become a major competitive advantage — especially for media, retail, and security use cases.

Facebook adds new AI features, animated profile photos, and backgrounds for text posts - What’s happening: Meta’s Facebook is adding a bundle of playful AI-powered tools for users. People can now animate their profile photos, restyle Stories and Memories with creative AI effects, and even add animated backgrounds to text posts to make them pop in the feed.
Why it matters: After years of trying to maintain relevance with younger users, these visual AI features signal a renewed push to make Facebook feel fresh and expressive — and keep billions of daily users engaged.

Create a ChatGPT Project named "Sales Objections". Upload a text file listing your product lines, pricing, and core offers so the AI understands what you sell.

Go to Instructions in project settings and paste: "Read the attached transcripts. Create a weekly report template. For every objection: Number the objection, State the objection clearly, Provide 3 descriptive bullets on the context, List which lead or prospect surfaced it, Provide two short, punchy rebuttals.”

Each week, upload call transcripts into your project. Make sure they have the date and name of the client. Open a new thread, and tell it to create the report.

Open a blank Notion page. Create a “Toggle Heading” for the week (e.g., "Week of Feb 9"). Copy the ChatGPT output and paste it inside the toggle.

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