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Google’s Gemini Just Got a Major Upgrade—Live Screen & Camera AI
8 Reasons You're Not Getting Clients on LinkedIn
AI Upgrades
Google’s Gemini Just Got a Major Upgrade—Live Screen & Camera AI
Google is rolling out a new AI feature for Gemini Live that lets it analyze your phone screen or use your camera in real time.
You can now ask Gemini questions about anything it sees, whether you’re picking a paint color, identifying an object, or figuring out what’s on your screen.
Powered by “Project Astra,” which Google first demoed nearly a year ago
Available to Gemini Advanced users on the Google One AI Premium plan
Already spotted in the wild, with users testing it on Xiaomi devices
One Reddit user shared a demo of Gemini instantly reading and responding to on-screen content—something Siri still can’t do.
Another new feature now live is video mode, which allows you to point your camera at something and get real-time answers.
Key Takeaways:
Gemini can now answer questions about your screen or camera view
Available exclusively on the AI Premium plan for Gemini Advanced users
Google is rolling this out ahead of major Alexa and Siri updates
With Samsung making Gemini the default assistant while Bixby fades into the background, Google is moving faster than its competitors.
Alexa, Siri—still playing catch-up?
8 Reasons You're Not Getting Clients on LinkedIn
Fact 1: People are landing clients and leads on LinkedIn. You’ve seen them brag about it.
Fact 2: You can do the same.
If you’re struggling, LinkedIn advisor Diksha Singhal has identified eight key reasons why your content isn’t converting. Here’s what might be holding you back:
1. You’re making it all about you.
Your audience cares more about their problems than your brand’s story. Shift the focus to them.
2. You sound like everyone else.
Regurgitated advice won’t cut it. Share original insights, hot takes, and unique perspectives.
3. You’re not sparking real conversations.
Likes and comments feel good, but they don’t always lead to sales. Create content that drives action, not just engagement.
4. Your offer isn’t clear.
Great content is useless if people don’t know what you’re selling. Make your offer obvious and use strong CTAs.
5. You’re not positioning yourself as a thought leader.
85% of buyers trust case studies over self-promotion. Share client wins, behind-the-scenes insights, and data-backed strategies.
6. You rely too much on cold DMs.
Instead of pitching right away, engage with potential clients first. Build trust before making an offer.
7. You’re not using LinkedIn’s best features.
Carousels, infographics, and video posts get more engagement than plain text. Use high-performing formats to your advantage.
8. You have no content strategy.
Random posting won’t cut it. Create a structured content funnel that attracts, nurtures, and converts your audience.
Time to audit your content. Are you making any of these mistakes?
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Reve Emerges from Stealth with a #1-Ranked AI Image Model
AI startup Reve has officially launched Reve Image 1.0, a cutting-edge text-to-image model that has quickly risen to the top of global rankings under the codename “Halfmoon.” Over the past week, it has outperformed industry leaders in prompt accuracy, text rendering, and image quality.
Key Highlights:
Ranked #1 in Artificial Analysis’ Image Arena, surpassing competitors like Google’s Imagen 3, Midjourney v6.1, and Recraft V3.
Designed to "enhance visual generative models with logic," delivering highly accurate prompt adherence and unmatched text rendering capabilities.
Offers natural language editing, allowing users to modify images through simple text commands.
Includes photo uploads for AI-driven modifications and an ‘explore’ tab to browse community-generated prompts and creations.
Currently free to try, though API access is not yet available—with Reve teasing that “much more is coming soon.”
Why It Matters:
Reve has entered the AI space with a bang, immediately outshining major players in the text-to-image market. Reve Image 1.0 combines the best of today’s leading AI models, excelling in photorealism, text generation, and user-friendly editing tools.
With industry-best prompt accuracy and a clear focus on usability, Reve’s debut suggests that the competition in AI-generated imagery is about to heat up—and they’re already leading the race.
DeepSeek’s Latest AI Model Brings Data Center-Level Power to Personal Computers
Chinese AI startup DeepSeek has just launched V3-0324, an upgraded version of its V3 model—a massive 641GB powerhouse designed to run on high-end personal computers. This release also marks a major shift in accessibility, as DeepSeek has adopted a permissive open-source MIT License, allowing broad use without restrictions.
Key Highlights:
V3-0324 utilizes a Mixture-of-Experts (MoE) architecture, activating only 37 billion parameters per token to optimize efficiency and dramatically reduce computing demands.
Successfully runs on Apple’s Mac Studio, making it the first AI model of this scale that doesn’t require a data center to function.
Early users report significant improvements in math and coding capabilities, with some calling it the best non-reasoning AI model currently available.
DeepSeek’s decision to adopt an MIT License makes V3-0324 far more accessible compared to its predecessor, which had a restrictive custom license.
Why It Matters:
DeepSeek continues to push boundaries in AI accessibility, making high-powered models available to individual users rather than just enterprise-level players. What was once only possible with expensive cloud infrastructure is now within reach for high-end personal computing setups.
Meanwhile, whispers about an upcoming R2 release are building momentum, suggesting that DeepSeek is far from done shaking up the AI landscape. If V3-0324 is any indication, the company may be on its way to establishing itself as a true leader in the space.
Founders: Get a free Airpods 4 and simplify your Payroll and Compliance
