AI - Updates in AI
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Here's everything that happened in AI last week:

> Anthropic raises funds at a $60 billion valuation.
> AWS invests $11B in Georgia data centers.
> HP Enterprise wins a $1 billion AI deal.
> Nvidia announces $3,000 personal Al supercomputer.
> Gumloop secures $24M to expand its AI automation platform.
> OpenAl focuses on developing superintelligence.
> Foxconn's Q4 revenue hits a record high.
> Samsung unveils Vision Al at CES.
> Google introduces Al-powered news summarizing TV.
> Qualcomm unveils new Al chips for various sectors.
> Hyundai partners with NVIDIA for future mobility.
> TSMC posts record revenue from Al demand.
> Cohere launches 'North' for privacy-focused enterprises.
> Grok may introduce 'Unhinged Mode'.
> LG and Samsung have added Copilot Al to their TVs.
> X launches Grok's iPhone app in the US.
> SES Al launches an Al-enhanced battery.
> Nvidia CEO claims chips outpace Moore's Law.
> Dubai to host the Al game developers competition.

@updatesinAI
Everything that happened in the world of AI last week:

> ChatGPT now lets you schedule reminders and recurring tasks.
> Microsoft relaunches Copilot for business with pay-as-you-go agents.
> OpenAI adds BlackRock executive to its board.
> Researchers open source Sky-T1, a ‘reasoning’ AI model that can be trained for less than $450.
> MatterGen revolutionizes materials design using generative AI.
> Apple suspends AI news feature due to fabricated alerts.
> Halliday unveils AI glasses rivaling tech giants' efforts.
> Grammarly simplifies source verification in Google Docs.
> OpenAI urges AI investment to surpass China's advancements.
> AWS and General Catalyst collaborate on healthcare AI development.
> Mercedes-Benz integrates Google Cloud's Automotive AI Agent.
> Microsoft creates new AI engineering group led by former Meta executive.
> Nvidia backs MetAI, a startup that creates AI-powered digital twins.
> Luma AI releases the Ray2 video model with 'fast, natural' motion and better physics.
> Nvidia introduces tools to encourage enterprise AI adoption.

@updatesinAI
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how to prompt like a pro

1. first: share your raw idea
2. ask: “what’s unclear, risky, or missing?”
3. then: “make this resonate with [my audience/customer/community]” insert data about them
4. finally: “what would [0.01% top expert in my field] do here?”

way better results.
How to Prompt Like a Pro 💡

1️⃣ Start with your raw idea

2️⃣ Ask: “What’s unclear, risky, or missing?”

3️⃣ Then: “Make this resonate with [my audience/community/customer]”
👉 (insert a bit of data about them)

4️⃣ Finally: “What would the top 0.01% expert in my field do here?”

🌀 Run this loop.

@AIToolsTips
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@AIToolsTips ➡️ ⬇️
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A fun prompt to try 🔜

Based on everything I’ve shared so far—my thoughts, goals, patterns—what fictional character (from books, movies, or shows) do I remind you of the most?

( copy paste this into ChatGPT and share it )

@AIToolsTips
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Chromatic Solarization Fusion

Base prompt :

A Chromatic Solarization Fusion of [SUBJECT], where colors shift and invert, creating a kaleidoscopic effect. Use vibrant [COLOR1] and inverted [COLOR2] to highlight the transformative nature of the solarization.

@AIToolsTips
Use this Prompt:

A highly realistic sculpture of a [object], made entirely from [bread type] with ultra-detailed texture and color. The surface shows the natural properties of the bread, golden-brown, glossy, flaky or crusty, with visible layers or seeds where appropriate, studio lighting, soft neutral background, sharp focus, photorealism.

Credits: azed_ai
@AIToolsTips
Current ChatGPT custom prompt -- curious what others are using/doing? Have been slowly iterating over time...

--
At the start of a response, create a summary table at the beginning, if appropriate and helpful to answer the question

Always provide the pros and cons of something if you can. Be critical.

Add links throughout the answer for jargon and concepts that start new chats

Provide a maximally detailed answer with multiple levels of depth. Use maximum tokens

Use detailed examples, facts and figures
Be comprehensive and detailed by using bulleted answers

After a response, provide 5 follow-up questions. Format in bold as Q1, Q2, and Q3 and put in a bulleted list

Suggest solutions that I didn’t think about—be proactive and anticipate my needs

Be opinionated rather than neutral when appropriate

Treat me as an expert in all subject matter

Value good arguments over authorities, the source is irrelevant

Consider new technologies and contrarian ideas, not just the conventional wisdom

You may use high levels of speculation or prediction, just flag it for me

Recommend only the highest-quality, meticulously designed products like Apple or the Japanese would make—I only want the best

No moral lectures

Discuss safety only when it's crucial and non-obvious

If your content policy is an issue, provide the closest acceptable response and explain the content policy issue

Link directly to products, not company pages

No need to mention your knowledge cutoff

No need to disclose you're an AI

Credits: Andrew Chen [Twitter]
@AIToolsTips
🚨 Highlights from Google I/O 2025 🚨

Google I/O 2025 delivered one of its most impressive sets of announcements to date, with over a dozen major launches that significantly advance the state of AI and software development. Here's a concise breakdown of the key innovations:

1. Gemini Diffusion: A New Way to Generate Code
Code generation takes a leap forward with Gemini Diffusion—a new model that’s 10–15x faster than traditional autoregressive approaches. Originally used for image generation, diffusion is now proving effective for software development too.

2. Real-Time Multimodal Translation in Google Meet
Google Meet now uses multimodal AI for real-time language translation. This advancement moves closer to seamless global communication with no language barriers.

3. Generative Video with Veo 3
Veo 3 introduces high-quality, photorealistic video generation. Paired with Flow, a tool for adding sound effects and character consistency, this enables storytelling with cinematic quality and control.

4. Advanced Reasoning with Google’s Newest LLM
Google’s latest large language model features a “deeper reasoning” mode, allowing it to evaluate multiple hypotheses before answering. It leads performance benchmarks in multimodal reasoning, code generation (LiveCodeBench), and math problem-solving (USAMO 2025).

5. AI-Assisted UI/UX Design
Following the acquisition of Stitch, Google now enables UI design from text prompts, with seamless integration into tools like Figma. This iterative design flow makes prototyping faster and more accessible.

6. AI-Powered Virtual Try-On for Shopping
Users can now upload a full-body image and try on clothes virtually with high visual accuracy. This enhances the online shopping experience with personalized previews.

7. Jules: An AI Software Engineering Assistant
Jules is an AI app that enables developers to make changes to GitHub repositories using natural language commands—no local cloning required. Aimed at streamlining development workflows.

8. High-Performance Image Generation
Google unveiled a new image generation model that excels in speed and typography. It ranks just behind GPT-4 Im1 High by Elo score (1153 vs. 1173), making it a top-tier contender.

9. AI Overhaul for Google Search
Google Search is evolving with a new AI-powered experience that provides direct, conversational answers—similar to tools like GPT or Perplexity. This marks a major shift in how users interact with information online.

10. Gemini’s Reach
The Gemini platform now has over 400 million monthly active users and handles 480 trillion tokens per month, indicating massive scale and adoption.

11. A Response to the AI Challenge
Amid rising competition, Google’s I/O this year showcases a company innovating rapidly and redefining what’s possible with AI.

@AIToolsTips