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- ⚡🔋Musk vs. Altman: $500B Stargate Sparks AI Infrastructure Showdown
⚡🔋Musk vs. Altman: $500B Stargate Sparks AI Infrastructure Showdown
And more: Google’s $3B Anthropic Bet — What’s Coming in 2025?; New AI Startup Doti Raises $7M to Fix Enterprise Search!
Good morning ☀️, leader of the next gen.
The future belongs to you. Let’s make conscious leadership the norm and embrace innovation as the driving force for positive change 🌍✨
WHAT’S AT STAKE TODAY ⚡
- ⚔️🎭 Musk and Altman feuding over Stargate. Tech titans take to Twitter!
- 💰🚀 Anthropic bags extra $1B from Google. AI money printer goes brrr!
- 🆕✨ Repo Prompt enters the chat. New AI tool wants attention!
- ☁️💔 Microsoft loses OpenAI cloud monopoly. Cloud romance opens up!
- 💸🤖 Vertice scores $50M for SaaS spending AI. Money saving gets smart!
- 💊📊 Lindus Health raises $55M for trials. Clinical testing gets upgraded!
- 🦠📈 1up gets leads from memes. Sales automation goes viral!
- 🚀🛠️ Postman launches AI agent builder. API platform levels up!
- 🦄💰 Databricks hits $62B value, Meta invests. Data unicorn gets fatter!
⚡ Latest in AI
Elon Musk and Sam Altman take to social media to fight over Stargate

Elon Musk and Sam Altman publicly clash over AI funding
A heated public dispute has erupted between Elon Musk and OpenAI CEO Sam Altman over Stargate, a massive $500 billion infrastructure project aimed at building data centers across the United States. The confrontation, unfolding on the social media platform X, focuses on questions about project funding and highlights growing tensions in the AI infrastructure race.
Stargate, which was announced at a White House press conference, represents a collaborative effort with investors including SoftBank and Middle East AI fund MGX. With initial commitments of $100 billion and construction already underway on a data center in Abilene, Texas, the project showcases OpenAI's ambitious plans for expanding its AI computing capabilities. However, Musk has publicly challenged these financial claims, asserting that SoftBank's actual secured funding is "well under $10 billion" and directly attacking Altman's credibility by calling him "a swindler."
The conflict is particularly charged given Musk's position as both competitor and legal opponent to OpenAI. Through his company xAI, Musk is pursuing a lawsuit against OpenAI, alleging anticompetitive practices, including attempts to discourage investors from supporting rival AI companies. This ongoing legal battle adds another layer of complexity to the public disagreement over Stargate's funding claims.
Altman's response to Musk's allegations struck a careful balance between defense and diplomacy. While firmly rejecting Musk's funding claims as false, Altman acknowledged Musk's entrepreneurial achievements, calling him "the most inspiring entrepreneur of our time." However, Altman also suggested that Musk's opposition might be motivated by competitive concerns rather than national interests, particularly given Musk's new role leading the Department of Government Efficiency (DOGE).
The scale of investment in AI infrastructure has become a critical battleground for industry leaders. xAI has reportedly invested $12 billion in its Memphis data center, with potential for billions more in upgrades. Meanwhile, Microsoft, a key OpenAI partner, has demonstrated its commitment to the sector with CEO Satya Nadella confirming an $80 billion pledge for AI data center development this year during the World Economic Forum in Davos.
This dispute reflects broader changes in U.S. technology policy under the Trump administration. DOGE, which Musk leads, has been strengthened by a recent executive order, though it faces legal challenges. The controversy highlights the intense competition for AI infrastructure resources and their strategic importance in the evolving technological landscape.
The public nature of this disagreement reveals deep-seated tensions within the AI industry regarding resource allocation, competition, and national strategic interests. As these companies continue expanding their infrastructure capabilities, the outcome of this dispute could significantly influence future investment patterns and technological development strategies in the AI sector.
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⚡ The Companies of the Future
Anthropic reportedly secures an additional $1B from Google

Anthropic reportedly secures an additional $1B from Google
Google has reportedly invested an additional $1 billion in Anthropic, bringing its total stake to $3 billion. Anthropic, currently raising up to $2 billion at a $60 billion valuation, plans to launch several products in 2025, including "two-way" voice chat for Claude and a "Virtual Collaborator" AI system that can interact with apps and execute workflows on PCs.
The company has now raised $14.7 billion in total, cementing its position as one of the leading players in the AI industry. With these funds, Anthropic aims to accelerate its product development pipeline and further establish itself as a key competitor in the rapidly growing AI market.
⚡ The AI Edge: Smart Solutions for Business Growth
Why You Should Use a Repo Prompt

Streamline your AI interactions with Repo Prompt
In the ever-evolving world of AI and technology, efficiency and precision are the keys to staying ahead. A Repo Prompt serves as a practical tool to streamline collaboration, boost productivity, and ensure consistent results when working with AI or large language models (LLMs).
What is a Repo Prompt?
A Repo Prompt is essentially a repository of well-structured, reusable instructions or queries designed to help users interact effectively with AI. Think of it as a library of prompts tailored for different use cases, whether it’s generating content, solving technical problems, or conducting detailed analyses.
Why Use a Repo Prompt?
- Consistency Across Projects: Using a predefined set of prompts ensures that your team communicates with AI in a uniform manner. This leads to reliable outputs, reducing errors and confusion across various tasks.
- Time-Saving: Instead of crafting new prompts every time, a repo provides ready-to-use instructions. This allows users to focus on applying insights rather than figuring out how to phrase queries.
- Scalability for Teams: As your team grows, a centralized prompt repository ensures everyone is on the same page. It acts as a training tool for new members and improves collaboration on shared tasks.
- Custom-Tailored for Your Needs: By creating a collection of prompts specific to your business or industry, you can ensure that the AI delivers the most relevant and actionable responses.
- Improved Results: Fine-tuning your prompts over time and storing the best-performing ones in a repo leads to better AI outputs. A well-optimized prompt can mean the difference between generic responses and insights that drive decisions.
How to Get Started
- Identify Your Use Cases: Define the scenarios where prompts will be used, such as marketing, customer support, or coding.
- Test and Iterate: Start small, test prompts, and refine them based on results.
- Centralize and Share: Use tools like Notion, Google Docs, or a dedicated AI repository to organize and share prompts across your team.
- Train Your Team: Educate team members on how to use and adapt these prompts effectively.
Final Thoughts: A Repo Prompt isn't just a tool—it’s a strategy to unlock AI’s full potential. By creating a centralized, reusable repository of prompts, you’ll save time, enhance accuracy, and position your business to thrive in an AI-driven world. Don’t let inefficiency hold you back—start building your Repo Prompt today!
⚡ More AI Bites
- ☁️ 🔄 Microsoft is no longer exclusive cloud provider
- 💰 📊 Vertice bags $50M for its AI-powered SaaS spend platform
- 🏥 💡 Lindus Health raises $55M to 'fix the broken clinical trial industry'
- 😄 💼 Sales knowledge automation platform 1up gets a third of its customer leads from memes
- 🔧 🤖 Postman launches an AI builder on top of its API platform
- 📈 💰 Databricks closes $15.3B financing at a $62B valuation, Meta joins as a 'strategic investor'
❓ What’s your biggest AI challenge right now? |
🌐 How much time do you spend on Social Media content weekly? |
⚡ Trends for the Future
Doti AI Raises $7M to Unify Enterprise Search Across Data Silos

Doti AI Team Photo
The details:
Tel Aviv-based startup Doti AI has secured $7 million in seed funding to develop its AI-powered enterprise search solution. The platform aims to help companies access and query data across multiple disconnected systems through a unified interface.
Led by F2 Venture Capital, with participation from angel investors including Ineffable Ventures' Jared Kasner and Sola Security CEO Guy Flechter, the funding will support Doti's mission to streamline enterprise data access.
The platform integrates with common business tools including Confluence, Datadog, GitLab, Jira, Monday, Notion, Slack, Salesforce, and Zendesk. Users can access information through chat interfaces, particularly in Slack, where Doti's "AutoPilot" feature proactively monitors channels to answer relevant questions.
What makes this crucial: The combination of large language models, retrieval augmented generation (RAG), and enterprise-grade integrations has created new opportunities to enhance how organizations access and utilize their distributed data. Doti's flexibility in implementation and its dual focus on robust security measures and seamless integrations make it a standout solution in a competitive market.

Do you have a business problem keeping you up at night?
Here’s your chance to get it solved! Share your most staggering challenges with us, and I’ll use the power of AI to find solutions tailored just for you. I’ll feature the answers in one of our upcoming Supercharged issues—let’s tackle it together!

AI is not just about algorithms, it's about augmenting human understanding. Each advancement helps us see patterns and connections in complex systems that were previously invisible.
Mary Shaw is the Alan J. Perlis Professor of Computer Science in SCS at Carnegie Mellon. She has been on the CMU faculty since earning her PhD in Computer Science at CMU. She previously worked in systems programming and research at the Research Analysis Corporation and Rice University.
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⚡ AI Playground: Code & Craft
🔧 This Week’s Tool: Spekit 🔧

Overview: Spekit is a digital adoption and training platform designed to make learning easy, fast, and accessible directly within your workflow. Ideal for sales teams, customer support, and businesses implementing new tools, Spekit ensures employees have the information they need at their fingertips, reducing training time and boosting productivity. 🚀
Why Is It Better Than Other Tools? ✨
- 📋 In-Workflow Learning: Delivers training and guidance directly in the tools your team uses daily, like Salesforce or Slack.
- ⚙️ Customizable Content: Tailor training materials to match your organization's specific processes and needs.
- 🤩 Easy to Use: Intuitive interface makes it simple to create, update, and distribute knowledge across teams.
What Does It Do Best? 🌟
- 🚀 Onboarding New Employees: Streamline onboarding by providing contextual guidance within applications.
- ⏱️ Reducing Training Time: Replace lengthy training sessions with on-demand, bite-sized lessons.
- 🔄 Keeping Teams Aligned: Ensure everyone has access to the most up-to-date information and resources.
Applications 💼:
- 📈 Sales Enablement: Train sales teams directly in CRM tools like Salesforce, guiding them through processes step-by-step.
- 💬 Customer Support Training: Provide support reps with instant access to answers, reducing response times.
- 🛠️ Tool Adoption: Help employees learn new tools and systems without disrupting their workflow.
- 📚 Knowledge Management: Centralize resources like FAQs, guides, and best practices for easy access.
- 🔧 Change Management: Roll out new processes or tools with in-app instructions and reinforcement.
Follow This Simple Guide to Get Started with Spekit:
- 🖥️ Visit the Website: Go to spekit.com and sign up for a free trial.
- 🔗 Integrate Your Tools: Connect Spekit to your CRM, Slack, or other platforms your team uses daily.
- 📂 Create Your Knowledge Base: Import existing documentation or build new guides tailored to your team's needs.
- 💡 Deliver Contextual Guidance: Add Speks (bite-sized tips) directly within your applications.
- 📊 Monitor and Update: Track usage and feedback to refine content and ensure it stays relevant.
Spekit empowers teams to learn and adapt seamlessly, ensuring productivity and alignment across your organization. 🌟
💡 Challenge: Use Spekit to create a guide or tip for a tool your team uses frequently. Share your most innovative Spek with us by replying to this email, and we’ll pick one winner to receive a special prize! Start simplifying learning with Spekit! 🚀

No more playing catch-up. It's time to GET AHEAD!!! 🚀🚀🚀, Elena
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