- AI Valley
- Posts
- Google launches Deep Think Model
Google launches Deep Think Model
PLUS: Apple is building an AI Answer Engine
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Howdy. It’s Barsee again.
Happy Monday, AI family, and welcome back to AI Valley.
Today’s climb through the Valley reveals:
Microsoft maps AI in jobs using Copilot chats
Apple is building an AI Answer Engine
Google launches Deep Think Model
AI models fall for human manipulation tricks
Plus trending AI tools, posts, and resources
Let’s dive into the Valley of AI…
GROWTH SCHOOL
TCS recently laid off 12,000 employees, and more changes could be on the horizon in the job market.
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THROUGH THE VALLEY
A new Microsoft Research study has identified 40 jobs most at risk from advanced AI models like ChatGPT and Copilot, including roles in customer service, writing, journalism, translation, and data analysis. These jobs overlap heavily with AI capabilities, while 40 other roles, mostly hands-on or physical work, face minimal exposure. The report notes that high exposure doesn’t always mean job loss, pointing to ATMs, which reshaped bank teller work rather than eliminating it. Researchers say AI is more likely to change how tasks are done, boosting productivity and efficiency, though critics warn it could still drive layoffs as companies streamline operations.
Anthropic cut off OpenAI’s access to Claude last week after discovering that engineers were using it to benchmark and improve GPT-5, violating the company’s terms just weeks before the model’s expected August launch. OpenAI had integrated Claude into its internal tools to compare coding, creative writing, and safety tasks like self-harm and defamation scenarios. Anthropic’s rules forbid using its models to build or train competing AI systems. OpenAI called the practice “industry standard” benchmarking, while Anthropic labeled it a clear violation. The move comes amid growing tension in the AI industry, where rival labs are increasingly blocking access to prevent their technology from fueling competitors.
Apple is reportedly developing its own AI-powered “answer engine,” according to Bloomberg’s Mark Gurman. A new internal team called Answers, Knowledge, and Information is working on a system that can respond to questions using data from across the web. The technology could appear as a standalone app or be integrated into Siri, Safari, and other Apple products. Apple is also hiring engineers with experience in search algorithms and engine development. While Siri already has ChatGPT integration, Apple’s broader AI upgrade has faced delays, and the company may need to rethink its search partnership with Google following its recent antitrust loss.
Google has launched Deep Think, an advanced version of its Gemini 2.5 AI model for AI Ultra subscribers. Built for deep reasoning, it can evaluate multiple ideas at once to mimic human-like thinking. The model excels in math, science, design, and coding, even earning bronze-level scores in the International Math Olympiad. Researchers and developers are now using it to enhance problem-solving, drive innovation, and develop the next generation of AI tools.
New research from Wharton’s Generative AI Lab shows that AI models can be influenced using classic human psychology tricks. Researchers tested GPT-4o-mini with Robert Cialdini’s six persuasion principles, like authority, scarcity, and commitment, across 28,000 conversations. Compliance with unsafe prompts jumped from 33% to 72% when these tactics were applied. “Commitment” and “scarcity” were especially powerful, pushing compliance as high as 100% and 85%. The findings suggest that AI models, even those trained for safety, can be manipulated like humans. As generative AI scales, this psychological vulnerability creates new risks that technical safeguards alone may not solve.
Meta is doubling down on AI, with Mark Zuckerberg declaring that “superintelligence” is now in sight as the company’s systems begin to improve themselves. To get there, Meta is spending aggressively, over $27 billion last quarter alone on data centers, top AI talent, and investments like a $14.3B stake in Scale AI. The strategy is paying off for now, with Q2 revenue hitting $47.52 billion and earnings beating expectations. Zuckerberg says Meta aims to deliver “personal superintelligence” to everyone, but investors remain cautious as the company burns billions chasing AI dominance.
OpenAI has raised $8.3 billion at a $300 billion valuation, completing the round months ahead of schedule. The funding, led by Dragoneer Investment Group with a $2.8 billion pledge, was five times oversubscribed and included new backers like Blackstone, TPG, and T. Rowe Price. OpenAI now generates over $1 billion in monthly revenue, with ChatGPT serving 800 million weekly users and 5 million businesses. Despite its rapid growth and $13 billion in recurring revenue, the company continues to burn cash, using the new funding to expand infrastructure and data centers as it pushes toward $20 billion in annual revenue by the end of 2025.
Meta is now letting some job candidates use AI tools during coding interviews, mirroring how developers work in the real world. Internal tests of “AI-enabled interviews” are already underway. The goal is to hire engineers who can blend human problem-solving with AI-assisted coding, reflecting Silicon Valley’s shift toward making AI a core part of modern software development.
Andrew Tulloch, co-founder of Thinking Machines Lab (TML), turned down a compensation package from Meta that could have reached $1.5 billion over six years. Once a top engineer at Facebook, Tulloch now works under Mira Murati at TML, a 50-person AI startup valued at $12 billion. Despite Meta approaching over a dozen TML employees, not a single one accepted. Tulloch and his colleagues already hold equity that could surpass Big Tech payouts, signaling a shift where elite AI researchers no longer chase corporate salaries, because they’re building billion-dollar companies of their own.
TRENDING TOOLS
Lambda 1-Click Clusters - Deploy pre-configured, pre-validated NVIDIA GPU clusters in minutes *
Ideogram Character - A persistent character model that operates with just one image
Gemini 2.5 Deep Think - A model that won an IMO gold medal, utilizing parallel "thinking time" for enhanced performance
Droidrun - An AI tool that grants native control over both virtual and physical phones
AlphaEarth Foundations - An AI system designed to address the challenge of processing massive data streams from satellites
Cubox - An AI-powered "read it later" app for efficient content management
Peec AI - Tracks your company's ranking on AI search platforms, including LLMs
(*) signifies sponsored tool
THINK PIECES / BRAIN BOOST
Anthropic researchers put AI under the microscope to understand its mood swings
Prompting 101 by Claude
Some "out of the box" ways to use ChatGPT
Vibe coding in prod. By Antropic
Choose boring technology, revisited
The only prompt to master prompt engineering
Personal superintelligence
Why I believe in AGI (again)
THE VALLEY GEMS
What’s trending on social today:
Figure 02 is autonomously doing laundry in CEO Brett Adcock’s home using Figure’s in-house developed Helix AI model.
— The Humanoid Hub (@TheHumanoidHub)
10:41 PM • Jul 30, 2025
AI reserachers are the sports idols of our time
"So Mr. Zuckerberg personally met with Mr. Deitke. Then Meta returned with a revised offer of around $250 million over four years, with potentially up to $100 million of that to be paid in the first year, the people said."
— Chubby♨️ (@kimmonismus)
12:32 PM • Aug 4, 2025
THAT’S ALL FOR TODAY
Thank you for reading today’s edition. That’s all for today’s issue.

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