
After 15 years, WhatsApp is finally ready for the iPad
Meta now has a dedicated iPad app for WhatsApp, more than 15 years after the messaging service and the first iPad launched (2009 and 2010, respectively). Available to download today via the App Store, WhatsApp for iPad supports many of the same features as its iPhone counterpart, allowing users to join audio and video calls with up to 32 people, use both the rear and front device cameras, and share their screen with other call participants.
The long-awaited WhatsApp for iPad works with iPadOS features like Stage Manager, Split View, and Slide Over, enabling it to run alongside other applications. That means users can view their messages in a split-screen view while browsing the web or watching videos, making the larger screen more practical for multitasking while using the app, compared to constantly switching away from WhatsApp on smaller mobile devices.
If you wanted to use WhatsApp on a larger screen before the iPad app, you had to either run the web version in your iPad's browser or use the desktop apps for Mac or PC. The WhatsApp account on X teased on Monday that the app was coming via a not-so-subtle eyes emoji, but there was no indication that it would drop this soon. Meta is also rumored to be developing an Instagram app for iPad that's optimized for the larger display, but the company hasn't dropped any hints about that in the way it did for WhatsApp.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Bloomberg
30 minutes ago
- Bloomberg
Musk Looms Over Latest Ergen Fight Threatening EchoStar Debt
Save Welcome to The Brink. I'm Eliza Ronalds-Hannon, a senior reporter in Atlanta, covering EchoStar's missed interest payment after the Federal Communications Commission started a review. We also have updates on Wellness Pet and auto sector distress. Follow this link to subscribe. Send us feedback and tips at debtnews@ Creditors to EchoStar and its pay-TV unit Dish Network huddled over the past eight days as they came to terms with the latest curveball thrown by Charlie Ergen.


TechCrunch
34 minutes ago
- TechCrunch
Superblocks CEO: How to find a unicorn idea by studying AI system prompts
Brad Menezes, CEO of enterprise vibe coding startup Superblocks, believes the next crop of billion-dollar startup ideas are hiding in almost plain sight: the system prompts used by existing unicorn AI startups. System prompts are the lengthy prompts — over 5,000-6,000 words — that AI startups use to instruct the foundational models from companies like OpenAI or Anthropic on how to generate their application-level AI products. They are, in Menezes view, like a master class in prompt engineering. 'Every single company has a completely different system prompt for the same [foundational] model,' he told TechCrunch. 'They're trying to get the model to do exactly what's required for a specific domain, specific tasks.' System prompts aren't exactly hidden. Customers can ask many AI tools to share theirs. But they aren't always publicly available. So as part of his own startup's new product announcement of an enterprise coding AI agent named Clark, Superblocks offered to share a file of 19 system prompts from some of the most popular AI coding products like Windsurf, Manus, Cursor, Lovable and Bolt. Menezes's tweet went viral, viewed by almost 2 million including big names in the Valley like Sam Blond, formerly of Founders Fund and Brex, and Aaron Levie, a Superblocks investor. Superblocks announced last week that it raised a $23 million Series A, bringing its total to $60 million for its vibe coding tools geared to non-developers at enterprises. So we asked Menezes to walk us through how to study other's system prompts to glean insights. Techcrunch event Save $200+ on your TechCrunch All Stage pass Build smarter. Scale faster. Connect deeper. Join visionaries from Precursor Ventures, NEA, Index Ventures, Underscore VC, and beyond for a day packed with strategies, workshops, and meaningful connections. Save $200+ on your TechCrunch All Stage pass Build smarter. Scale faster. Connect deeper. Join visionaries from Precursor Ventures, NEA, Index Ventures, Underscore VC, and beyond for a day packed with strategies, workshops, and meaningful connections. Boston, MA | REGISTER NOW 'I'd say the biggest learning for us building Clark and reading through the system prompts is that the system prompt itself is maybe 20% of the secret sauce,' Menezes explained. This prompt gives the LLM the baseline of what to do. The other 80% is 'prompt enrichment' he said, which is the infrastructure a startup builds around the calls to the LLM. That part includes instructions it attaches to a user's prompt, and actions taken when returning the response, such as checking for accuracy. He said there are three parts of system prompts to study: role prompting, contextual prompting, and tool use. The first thing to notice is that, while system prompts are written in natural language, they are exceptionally specific. 'You basically have to speak as if you would to a human co-worker,' Menezes said. 'And the instructions have to be perfect.' Role prompting helps the LLMs be consistent, giving both purpose and personality. For instance, Devin's begins with, 'You are Devin, a software engineer using a real computer operating system. You are a real code-wiz: few programmers are as talented as you at understanding codebases, writing functional and clean code, and iterating on your changes until they are correct.' Contextual prompting gives the models the context to consider before acting. It should provide guardrails that can, for instance, reduce costs and ensure clarity on tasks. Cursor's instructs, 'Only call tools when needed, and never mention tool names to the user — just describe what you're doing. … don't show code unless asked. … Read relevant file content before editing and fix clear errors, but don't guess or loop fixes more than three times.' Tool use enables agentic tasks because it instructs the models how to go beyond just generating text. Replit's, for instance, is long and describes editing and searching code, installing languages, setting up and querying PostgreSQL databases, executing shell commands and more. Studying others' system prompts helped Menezes see what other vibe coders emphasized. Tools like Loveable, V0, and Bolt 'focus on fast iteration,' he said, whereas 'Manus, Devin, OpenAI Codex, and Replit' help users create full-stack applications but 'the output is still raw code.' Menezes saw an opportunity to let non-programmers write apps, if his startup could handle more, such as security and access to enterprise data sources like Salesforce. While he's not yet running the multi-billion startup of his dreams, Superblock has landed some notable companies as customers, it said, including Instacart and Paypaya Global. Menezes is also dogfooding the product internally. His software engineers are not allowed to write internal tools; they can only build the product. So his business folks have built agents for all their needs, like one that uses CRM data to identify leads, one that tracks support metrics, another that balance the assignments of the human sales engineers. 'This is basically a way for us to build the tools and not buy the tools,' he sais.


News24
34 minutes ago
- News24
Auditor-General dismisses ActionSA's collusion allegations
Be among those who shape the future with knowledge. Uncover exclusive stories that captivate your mind and heart with our FREE 14-day subscription trial. Dive into a world of inspiration, learning, and empowerment. You can only trial once. Show Comments ()