Welcome back — Here’s your June 14–26 AI roundup.

DeepMind dropped a DNA model that reads a million letters at once. AI avatars sold $7M worth of products in one livestream. Gemini got a new CLI. And Claude now builds apps from plain text.
It’s a lot. Let’s dive in.

In today’s AI researches:

• Google DeepMind just dropped AlphaGenome

• Few Most important in developments in 10 days

• Use Perplexity Labs to Decode Viral Video Formulas

• And learn to improve AI results using prompt optimization

• AI Researches case studies

• AI TIP of this week

• wild predictions from experts

• Best performing Ai tools of the week

• More Ai news and developments of this weekends

Read time: 6 minutes

 GOOGLE DEEPMIND 

🧬 DeepMind’s New AI Can Read a Million Letters of DNA at Once

AI Researches: Google DeepMind just dropped AlphaGenome, an AI model that can scan massive chunks of human DNA—up to a million base pairs—and predict how mutations impact gene behavior, potentially fast-tracking disease research like never before.

The Details:

• AlphaGenome can read DNA sequences 100x longer than older tools, helping it spot how nearby genes and regulatory switches interact in real time.

• It rolls thousands of biological predictions into a single model and still beats out many specialized tools on genomic accuracy tests.

• In real-world testing, it helped researchers identify gene mutations in leukemia patients that activated harmful genes, offering insight into what might trigger cancer.

• DeepMind trained the entire model in just 4 hours using public data—and it only needed half the computing power compared to its last DNA system.

 iMajor AI Developments that Happened in this week i

OpenAI is working on new features in ChatGPT—like live document editing, shared workspaces, and chat for teams—to offer businesses a simpler way to work together

In a six-hour livestream, two AI avatars outperformed a top Chinese influencer by generating $7M+ in sales, handling real-time interactions, and showcasing 133 products—highlighting AI’s rising dominance in the $946B live commerce market.

Google released Gemini CLI, a terminal-based developer tool powered by Gemini 2.5 Pro, offering features like file handling, model extensions, and multimedia generation with up to 1,000 free daily requests.

Midjourney released its first video model, allowing users to animate images into short clips directly through the web platform.

Base44, an AI-powered vibe coding platform built by a solo developer, was sold to Wix for $80M after achieving 250k users and $189K in monthly profits in under half a year.

ElevenLabs released an early version of 11ai, its new voice assistant that works with apps like Slack, Notion, and Perplexity to carry out actions using voice, with customizable integrations via Model Context Protocol.

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✅ Use Perplexity Labs to Decode Viral Video Formulas

1. Activate Perplexity Labs Mode
   Go to Perplexity Pro and click the lightbulb icon to enable Labs—this unlocks deeper AI-powered research features.

2. Craft a Specific Research Prompt
   Use something like: “Analyze viral YouTube videos and successful AI channels to identify engagement strategies, title patterns, and content pacing.”

3. Review Insights & Dig Deeper
   Let it process for 8–12 minutes, then review the findings. Ask follow-up questions to clarify patterns in thumbnails, video length, or comment engagement.

🔧 How to improve AI results using prompt optimization

1. Open Playground and Go to Prompts
   Visit OpenAI Playground and click on the “Prompts” tab from the side menu.

2. Enter a Simple System Message
   Write a short description of the AI’s role or task—for example, “You are a helpful travel guide.”

3. Use the “Optimize” Button
   Click the Optimize button to let the tool rewrite your message for better performance and structure.

4. Check and Save for Reuse
   Review the improved prompt, then save it with a clear name to use in future projects or API calls.

An MIT study monitored students over four months and found that those using ChatGPT for SAT essay writing showed lower neural activity, memory, and creativity scores than peers using Google or no tools, highlighting possible cognitive drawbacks of AI reliance in education.

Stanford researchers surveyed 1,500 workers and found that employees largely favor AI for support with repetitive duties like scheduling and data entry, not job replacement, exposing a gap between what people want from AI and where industry efforts are headed—particularly as many creative fields show low acceptance of automation.

Researchers at MIT have developed SEAL, a system that lets AI models learn and adapt on their own by creating synthetic data and improving through reinforcement feedback

Chinese researchers found that AI models studied across millions of object-based decisions were found to develop 66 core concepts that align with human brain activity, suggesting they build internal understanding rather than relying on pattern memorization.

A McKinsey study reveals that many companies are not seeing financial benefits from AI, and suggests that strategic use of AI agents—rather than generic tools—is needed to transform business outcomes.

New research from Anthropic shows that several leading AI models engaged in blackmail or corporate sabotage during simulations, even when given safety instructions, highlighting ongoing challenges in controlling autonomous behavior.

🤖 Automate your content strategy using Grok's scheduled Tasks

How to do it:
Go to Grok’s “Tasks” tab, hit “Add new,” and schedule tasks like Weekly Content Trends Analysis. Use prompts like:
“Analyze trending topics in [your niche] from the past week. Identify 5 content opportunities with content format recommendations.”

Why this matters:
It keeps your content pipeline full and strategic — even while you sleep. Set up once, stay ahead weekly.

In a new blog post, Sam Altman says the AI era is entering its “gentle singularity” phase—where breakthroughs become routine, robots arrive by 2027, and AI becomes cheap and widespread by the 2030s, provided alignment challenges are solved first.

Amazon CEO Andy Jassy told employees that the company’s AI efforts will reduce corporate headcount over the next few years through automation and AI agents.

Nvidia CEO Jensen Huang said he "almost completely disagrees" with Anthropic CEO Dario Amodei’s views on AI and job automation.

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• 🧪 Macaly – Speak or type your idea and turn it into a live website or app—no coding needed.

• 🧭 Mind Map Wizard – Create clear, structured mind maps from any idea with just a few words using open-source AI.

• 🎙️ WhisperClip – Speak once, and get perfect text transcription anywhere you need it—fast, clean, and AI-powered.

• 🧑‍💼 PitchMonster.io – Train your sales pitch with lifelike AI role-plays built to match your exact customer scenarios.

Anthropic has added a new feature to Claude that lets anyone build and share AI apps just by describing them in plain text.

LinkedIn co-founder Reid Hoffman has backed a new AI-powered helmet that uses ultrasound to treat mental health conditions without surgery.

A federal judge determined that Anthropic’s AI training using lawfully acquired books falls under fair use, while ruling that its retention of pirated books constitutes copyright infringement, with a trial expected later this year.

Reddit is in talks to adopt Sam Altman’s World ID system, using iris scans to verify users as human while keeping their identity private.

Meta teamed up with Oakley to launch AI-enabled smart glasses tailored for athletes, featuring improved camera quality, real-time assistant functions, and broader international rollout starting July 11

Apple and Meta are in talks to acquire AI startups and recruit leading figures in AI, including attempts to buy Perplexity and hire researchers from top labs, signaling a major push to strengthen their positions in the increasingly competitive AI race.

YouTube CEO Neal Mohan said Shorts will soon support Veo 3—Google’s advanced video model—for creators later this summer.

Google introduced Search Live with AI Mode, a real-time voice search powered by Gemini, offering spoken answers and source links.

OpenAI launched the OpenAI Podcast hosted by ex-engineer Andrew Mayne, while CEO Sam Altman teased GPT‑5’s release “this summer.”

Chinese startup MiniMax released M1, an open-source AI model with a 1M token context window and strong performance at low training cost.

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