WhatsApp Embraces AI Rivals: ChatGPT and Perplexity Now Accessible Directly in App
PLUS: DeepSeek Bolsters AI Math Prowess with Prover V2 Upgrade
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WhatsApp Embraces AI Rivals: ChatGPT and Perplexity Now Accessible Directly in App
In a significant shift for messaging platforms, WhatsApp has opened its doors to third-party AI chatbots, allowing users to interact with Perplexity AI and ChatGPT directly within the app, sidestepping Meta’s own AI assistant. This development, announced on April 30, 2025, marks a new chapter in the integration of artificial intelligence into everyday communication, but it also raises privacy concerns that users should carefully consider.
To engage with Perplexity AI, users can simply add the phone number +1 (833) 436-3285 to their WhatsApp contacts. Once added, they can initiate conversations, access real-time search results, generate images, and receive sourced answers, with Perplexity’s CEO Aravind Srinivas promising “a lot more features coming soon,” as shared in a post on X. Similarly, ChatGPT is accessible by adding +1 (800) 242-8478, enabling users to tap into OpenAI’s conversational prowess without leaving WhatsApp. This move follows OpenAI’s earlier integration of ChatGPT into the platform, which began a few months ago and has since been upgraded for broader accessibility.
The integration is seamless and leverages WhatsApp’s phone number-based chat system, meaning no additional app downloads or sign-ups are required. This convenience is particularly appealing in regions where WhatsApp dominates as a primary communication tool, and in some emerging markets, WhatsApp data usage may not count toward monthly internet limits, making AI interactions more accessible. As Perplexity noted on X, users can now get “real-time information, summaries of group chats,” and more, enhancing the app’s utility for both casual and research-driven queries.
However, the inclusion of Perplexity has sparked concerns following recent comments from Srinivas, reported by TechCrunch, about the company’s upcoming Comet browser. Srinivas indicated plans to collect extensive user data to create detailed profiles for targeted advertising, a strategy that echoes the data-driven models of Google and Meta. This raises red flags about how Perplexity might handle WhatsApp interactions, especially since the company also aims to use such data to train its AI models. For users wary of privacy, sticking to ChatGPT or Meta AI—or using dedicated apps for these services—might offer a safer alternative, as Perplexity’s approach could mirror the invasive ad practices of pre-generative AI tech giants.
Meta, which owns WhatsApp, has its own AI assistant embedded in the app via a permanent button in the interface, but users cannot remove it, leading to occasional accidental activations. The addition of Perplexity and ChatGPT offers a workaround for those who prefer not to rely on Meta AI, though it’s worth noting that Meta has no control over these third-party integrations, as they operate through WhatsApp’s open chat system. This openness could drive competition, pushing Meta to refine its AI offerings to keep pace with rivals like OpenAI and Perplexity.
For now, the ability to chat with leading AI models within WhatsApp is a game-changer, offering unmatched convenience for users worldwide. Yet, as AI becomes more embedded in our daily tools, the trade-off between functionality and privacy remains a critical consideration. Users are advised to weigh their options carefully, especially when engaging with Perplexity, and consider using dedicated apps for sensitive queries to maintain greater control over their data.
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DeepSeek Bolsters AI Math Prowess with Prover V2 Upgrade
In a subtle yet significant move, Chinese AI lab DeepSeek has unveiled an enhanced version of its math-focused AI model, Prover V2, designed to tackle complex mathematical proofs and theorems with greater precision. Released quietly on April 30, 2025, and uploaded to the AI development platform Hugging Face, this upgrade underscores DeepSeek’s ongoing push to dominate specialized AI applications, particularly in formal theorem proving.
According to the South China Morning Post, Prover V2 builds on DeepSeek’s robust V3 model, boasting an impressive 671 billion parameters and leveraging a mixture-of-experts (MoE) architecture. This setup allows the model to break down intricate tasks into smaller, specialized subtasks, enhancing its problem-solving efficiency. Parameters, a rough measure of a model’s cognitive capacity, indicate Prover V2’s potential to handle sophisticated mathematical challenges, from high school-level problems to undergraduate theorems.
DeepSeek’s focus on math-specific AI isn’t new—Prover’s previous iteration, was lauded as a custom, open-source tool for formal theorem proving. Noting its use of the Lean 4 framework and training on vast synthetic datasets, which make it faster and more accurate at automating logic-heavy tasks. The model’s open-source nature, released under the MIT License, invites global developers to refine and apply it, potentially accelerating innovation in mathematical research.
This release follows DeepSeek’s meteoric rise earlier in 2025, when its R1 model shook the AI landscape by rivaling OpenAI’s o1 at a fraction of the cost. However, Prover V2’s specialized focus sets it apart from DeepSeek’s broader chatbot offerings, signaling the company’s intent to carve out a niche in academic and technical domains. The company’s ability to innovate despite U.S. export restrictions on advanced chips—relying instead on Nvidia H800s—further showcases its engineering ingenuity, though it’s not without controversy. Some X users speculate about DeepSeek’s chip stockpiling, while others question the energy costs of its reasoning-heavy models.
As DeepSeek continues to challenge Western AI giants, Prover V2’s release raises questions about the future of specialized AI in education and research. Could this model democratize access to advanced mathematical tools, or will it primarily serve elite institutions? For now, DeepSeek’s quiet drop of Prover V2 speaks volumes about its ambition to redefine AI’s role in solving the world’s toughest problems—one theorem at a time.
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Other Top AI News Today
Meta Launches Standalone AI Assistant App: Meta Platforms introduced a dedicated app for its Meta AI assistant, unveiled at the LlamaCon event. This move positions Meta to compete directly with ChatGPT and similar AI apps from OpenAI and Google, expanding its AI integration beyond WhatsApp, Instagram, and Facebook.
Alibaba’s Qwen3 Breakthrough in Open-Source AI: Alibaba released Qwen3, the next generation of its open-source large language models, hailed as a significant advancement in China’s AI landscape. It rivals top models like DeepSeek’s R1, with improvements in reasoning, instruction following, and multilingual tasks.
xAI Holdings Seeks $20 Billion Funding: Elon Musk’s xAI Holdings is reportedly in talks to raise approximately $20 billion for its combined AI and social media ventures, following the acquisition of X valued at $33 billion. This could accelerate xAI’s AI development, including projects like Grok.
OpenAI Sunsets GPT-4, Transitions to GPT-4o: OpenAI announced it will phase out GPT-4, replacing it with GPT-4o as the default model starting April 30. This shift comes as ChatGPT’s user base grows to 400 million, with GPT-4o offering enhanced multimodal capabilities.
Google’s AI Search Growth: Google reported increased adoption of its AI-powered search features, with AI Overviews now used by over 1.5 billion monthly users across 100+ countries. Visual search via Google Lens also saw a 5 billion increase in searches since October 2024.
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Business Tip of the Day
Streamline Sales Prospecting with AI: Boost Efficiency and Close More Deals
In today’s fast-paced business landscape, sales teams are under constant pressure to deliver results while juggling countless tasks. Prospecting, a critical step in the sales process, often consumes hours of valuable time that could be better spent building relationships or closing deals. Fortunately, artificial intelligence (AI) and automation are revolutionizing sales prospecting, enabling teams to work smarter, not harder. By leveraging AI-driven tools, businesses can significantly reduce prospecting time, improve lead quality, and empower sales reps to focus on what truly matters: driving revenue. Here’s how AI can transform your sales prospecting process, with two practical hacks to get started today.
Why AI-Powered Prospecting Matters
Traditional prospecting methods—manually researching leads, sifting through outdated databases, or crafting individualized emails—can be a time sink. According to industry studies, sales reps spend nearly 20% of their time on administrative tasks like data entry and lead research, leaving less time for actual selling. AI changes the game by automating repetitive tasks, providing real-time insights, and ensuring accuracy at scale. The result? Faster prospecting, higher-quality leads, and more time for meaningful customer interactions.
AI’s ability to process vast datasets, predict behaviors, and personalize outreach makes it an indispensable tool for modern sales teams. Whether you’re a small business looking to scale or an enterprise aiming to optimize, AI-driven automation can streamline your sales funnel and boost conversions. Let’s dive into two actionable hacks that harness AI to supercharge your prospecting efforts.
Hack #1: Automate Lead Data Enrichment for Smarter CRMs
One of the biggest challenges in prospecting is ensuring your customer relationship management (CRM) system is populated with accurate, up-to-date contact information. Outdated or incomplete data leads to wasted outreach efforts and missed opportunities. AI-powered lead data enrichment solves this problem by automatically gathering and verifying contact details, saving hours of manual research.
How It Works
AI tools scan public data sources, social media profiles, and professional networks to collect verified information like email addresses, phone numbers, job titles, and company details. These tools integrate seamlessly with popular CRMs like Salesforce, HubSpot, or Zoho, automatically updating lead profiles in real time. For example, when a prospect submits a form on your website, the AI can enrich their profile with additional data points, such as their industry, company size, or recent professional activity, without any manual input.
Benefits
Time Savings: Eliminate hours spent searching for contact details or correcting outdated records.
Improved Targeting: Enriched data ensures you’re reaching the right decision-makers with relevant messaging.
Scalability: Handle large lead volumes effortlessly, keeping your CRM clean and actionable.
Getting Started
Choose an AI-driven data enrichment tool like ListKit, Clearbit, ZoomInfo, or LinkedIn Sales Navigator, which offer CRM integrations and real-time updates. Set up automated workflows to trigger enrichment whenever a new lead enters your system. For instance, connect your website’s lead capture form to your CRM via middleware like Zapier, and let the AI handle the rest. This ensures your sales team always has accurate, enriched data at their fingertips, ready for personalized outreach.
Hack #2: Set Up Automated Email Sequences Triggered by Prospect Actions
Crafting individual emails for every prospect is a time-intensive process that doesn’t scale. AI-powered email automation allows you to create personalized, action-triggered email sequences that engage prospects at the right moment, saving sales reps hours each week while maintaining a human touch.
How It Works
AI-driven email platforms analyze prospect behaviors—such as website visits, form submissions, or content downloads—and trigger tailored email sequences based on those actions. For example, if a prospect views a pricing page but doesn’t convert, the AI can automatically send a follow-up email with a case study or a limited-time offer. These platforms use natural language processing (NLP) to craft emails that mimic human tone, ensuring they feel personal rather than robotic.
Benefits
Efficiency: Automate repetitive outreach tasks, freeing reps to focus on high-value activities like closing deals.
Timely Engagement: Reach prospects when they’re most interested, increasing response rates.
Personalization at Scale: Deliver customized messages to thousands of leads without manual effort.
Getting Started
Tools like Outreach, Salesloft, or Mailchimp’s advanced automation features make setting up action-triggered email sequences straightforward. Begin by mapping out your prospect journey—identify key actions like downloading a whitepaper, attending a webinar, or clicking a link in a previous email. Then, create a series of email templates with dynamic fields (e.g., prospect name, company, or industry) to ensure personalization. Use the platform’s AI to optimize send times and subject lines for maximum open rates. Finally, integrate the tool with your CRM to track responses and ensure seamless follow-up.
Best Practices for AI-Powered Prospecting
To maximize the impact of these AI hacks, keep these best practices in mind:
Prioritize Data Privacy: Ensure your AI tools comply with regulations like GDPR or CCPA to protect prospect data and maintain trust.
Test and Refine: Regularly analyze the performance of your email sequences and enrichment processes. Use A/B testing to optimize email content and timing.
Combine Human and AI Efforts: While AI handles repetitive tasks, reserve complex negotiations and relationship-building for your sales team.
Stay Updated: AI technology evolves rapidly. Monitor industry trends and explore new tools to keep your prospecting strategy cutting-edge.
The Future of Sales Prospecting
As AI continues to advance, its role in sales prospecting will only grow. From predictive lead scoring to real-time conversation analysis, the next generation of AI tools promises even greater efficiency and personalization. By adopting AI-driven automation today, businesses can stay ahead of the curve, turning prospecting from a grind into a strategic advantage.
The two hacks outlined—automating lead data enrichment and setting up action-triggered email sequences—are just the beginning. Implementing these strategies can save your sales team hours each week, improve lead quality, and drive more conversions. In a competitive market, where every second counts, AI empowers your team to prospect smarter and close faster.
Ready to transform your sales process? Start small by integrating one of these hacks into your workflow, and watch your prospecting efficiency soar. The future of sales is here, and it’s powered by AI.
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Darius @ SumoGrowth