Each week, we bring you 5 stories that resonated the most in our internal Slack channel #AI-news. We write the newsletter using various AI tools because we're an AI company and our marketing wants to move with the times too. 😎
Today you're reading the 57th issue in a row.
#1
AI for $200/month? OpenAI introduces Deep Research, a new tool for researchers 📊💡.
OpenAI 🎯 has unveiled Deep Research, a new AI feature for Pro users at $200/month that quickly processes large amounts of data 📊. It aids research by summarizing texts, reading charts, and extracting key information from PDFs in minutes instead of hours or days 🕰️.
The model better understands complex topics 🧠, but still struggles with real-world context and uncertainty. It can connect existing knowledge and apply methods, but it does not create new theories 📖 or challenge established scientific processes 🔬.
Scientists 🏛️ discover new insights by questioning assumptions and identifying gaps in understanding 🤔. AI, which learns only from existing data, follows established patterns instead of changing them. That makes it a useful tool, but it cannot replace scientific discoveries 🚀. What do you think about this 🤔?
#2
Gemini 2.0 🤖: Google has made its most advanced AI model suite available to everyone 🚀!
Google has released Gemini 2.0, its most advanced AI model suite, for everyone 🤖. It includes models designed for programming, processing large amounts of data, and cost-effective AI applications 💡.
This move is part of Google's plan to develop AI agents 🧠 capable of handling complex tasks without human assistance 🚀. Other major companies, including Meta, Amazon, Microsoft, OpenAI, and Anthropic, are also investing in this technology 🏗️.
AI agents can automate tasks ⚙️ such as filling out forms, making reservations, or searching for information 🔍. Google aims to outpace the competition with enhanced capabilities that allow its models to work better with text, images, and sound 🎵.
#3
Mega AI Center in France 🤖! $52 billion from French and Arab investors 💰🤔?
France and the United Arab Emirates have agreed to invest up to $52 billion 💰 in a massive AI data center 🤖 in France. This is part of France's strategy to attract AI investments ahead of the Artificial Intelligence Action summit in Paris.
The data center will have a capacity of 1 GW ⚡ and is funded by both French and Emirati investors, including MGX 📈, a UAE investment firm focused on AI. France aims to become a top destination for AI infrastructure, leveraging its nuclear and renewable 🌍 energy mix.
This investment signals that Europe doesn’t want to fall behind in the AI race 🏁. More major announcements are expected at the AI summit, where political and tech leaders 🤝 will discuss funding, regulations ⚖️, and AI’s environmental impact 🌱. What do you think 🤔?
#4
GeoSpy 🌍: AI tool for locating photo origins sparks privacy concerns ⚠️!
A new AI breakthrough has surfaced. The AI tool GeoSpy can analyze any image 🖼️ and determine where it was taken using details like buildings, plants, and streets 🌿. Originally designed for law enforcement and the military 🕵️♂️, it helps track criminals, find missing persons, and solve cold cases.
For a short time, the public also had access to the tool, leading to cases of stalking and doxxing 🔍⚠️. Although the company quickly restricted access, the damage was done—AI is making it easier than ever to uncover private information 🔓 from ordinary photos. Even without location tags, it can pinpoint where a picture was taken, raising serious privacy concerns.
This is yet another reminder that anything shared online can be analyzed in ways we never expected 🤯. The internet is entering a new era where protecting privacy 🛡️ is harder than ever 🌐.
#5
Super Bowl 2025 🏈: Google faked Gemini’s output in its Super Bowl ad 🤯.
And finally, a little “scandal” 🤯. During this year’s Super Bowl, Google aired an ad showing Gemini generating a website description for a cheese shop 🧀. The problem? The exact same text had existed since 2020—three years before Gemini was even created 🤨. When questioned, Google claimed AI was involved, but the explanation didn’t quite add up 🤔.
This comes after criticism of the ad for incorrect data on global cheese consumption 📉. Google quietly removed the false claim but still labeled the description as “AI-generated” 🤖.
This raises an important question ❓: are tech companies showcasing AI’s real capabilities, or just what they wish AI could do 🎭? What do you think 🤔?
