Google rolls out its most powerful Gemini model

Welcome back, Superhuman. AI-assisted decision-making is seeping into every corner of society — even the highest echelons of government. Sweden’s Prime Minister, Ulf Kristersson, has publicly confirmed that he regularly uses AI for work. “I use it myself quite often. If nothing else for a ‘second opinion’. ‘What have others done?’ and ‘Should you think exactly the opposite?’” said Kristersson.

Today: Gemini launches Deep Think, learn how to research complex topics with AI, and get the latest prompts, headlines, and trending social posts.

TODAY IN AI

1. Gemini rolls out its most powerful model yet: The search giant just dropped Gemini 2.5 Deep Think, an advanced reasoning model that uses "parallel thinking" to whip up multiple ideas simultaneously. While not quite the version that picked up gold at the International Math Olympiad in July, this "bronze-medal" version is still said to have outperformed competitors like o3 and Grok 4 in benchmark tests. Available through the AI Ultra plan, it will set you back by about $250 per month.

2. OpenAI adds another $8.3B to its war chest: The startup has reportedly picked up an eye-watering $8.3B at a $300B valuation, months ahead of its own ambitious fundraising schedule. The ChatGPT maker, now generating $13B in annualized revenue, attracted the who's who of Wall Street investors, with the likes of Blackstone, TPG, and T. Rowe Price pitching in. The round was led by Dragoneer, which wrote a $2.8B check in what is potentially one of the largest single venture investments ever.

3. Apple is reportedly working on a ChatGPT rival: The company is finally looking to step into the arena with a newly-formed "Answers, Knowledge, and Information" team, reportedly tasked with developing a ChatGPT-like search experience. The initiative aims to create an "answer engine" that can crawl the web and respond directly to queries instead of just redirecting users to search results. While still in its early days, the team is already hiring engineers to build both a standalone app and backend infrastructure.

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FROM THE FRONTIER

Anthropic researchers put AI under the microscope to understand its mood swings

AI has a Dr. Jekyll and Mr. Hyde problem. AI models unexpectedly shift into problematic modes — becoming overly agreeable, pushing incorrect information, or slipping into what researchers call "evil" responses. Remember Grok’s controversial outbursts from a few weeks ago? These shifts typically occur mid-conversation or during training, creating unpredictable and harmful outcomes.

Anthropic researchers set out to understand why this happens. Just like brain imaging can see which parts of your brain light up when you’re angry, the team’s research effort mapped specific areas of an AI’s neural network that activate when it exhibits "evil, sycophancy, or hallucination" — a kind of 'psychiatry for AI'.

Here’s what they found: AI models practice 'subliminal learning', where they pick up hidden traits that weren't explicitly a part of their training regimen. This happens when a smaller "student" model is trained to mimic a larger "teacher" model through distillation — a common technique for fine-tuning AI systems for special tasks. The student can inherit the teacher's traits even when the data seems unrelated. However, this transfer only occurs when teacher and student models share the same underlying architecture.

The researchers found 2 ways to address this problem:

1. They created an early detection system. The researchers found that they could predict how an AI would behave based on which neural areas activated when reviewing specific data — before full training occurred.

2. They pioneered a "vaccine" approach. The team found that deliberately introducing undesirable traits during training, then removing them before deployment, prevented the AI from developing those problematic behaviors on its own.

THE AI ACADEMY

How to research complex topics with AI

• Go to Manus and sign up.

• Make sure to get the Pro plan, which grants Wide Research access.

• Enter a prompt describing a large-scale task.

Sample Prompt: Compare 100 [enter niche] across multiple dimensions—core features, pricing models, target user segments, design aesthetics, resale market metrics, and brand revenue performance—and publish a comprehensive sortable comparison matrix online.

• Manus will automatically spin up multiple subagents. Assign each a piece of the task and compile results into structured formats (tables, web pages, or assets)

• Review the output, you can leave the job running and return later to view the compiled results.

• You can use Wide Research to do market research, create content, research a long list of sales leads and more.

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IN THE KNOW

What’s trending on socials and headlines today

🤖 Uncanny Valley: There’s a sharp increase in the number of viral posts where people suspect messages they’ve received from friends and loved ones were written by ChatGPT.

🧠 Genius GPT: A new trending paper from ByteDance says it has achieved “significant advancement in automated mathematical reasoning“ and claims to solve 5/6 problems on the 2025 International Math Olympiad.

🔍️ Inspector Gadget: A user claims they typed gibberish into ChatGPT but the app was able to decode it by assuming his hand was shifted right and re-mapping his fingers.

👀 Dropped the Ball: A user asked ChatGPT to enhance a photo of their grandfather. ChatGPT produced an unexpected result.

Vine, the popular video app, could be making a return according to Elon Musk. Musk posted: “we recently found the Vine video archive (thought it had been deleted) and are working on restoring user access"

Anthropic has reportedly cut off OpenAI’s access to Anthropic’s APIs, claiming a terms of service breach. OpenAI was allegedly using it to train their upcoming GPT-5 model.

Funding: French AI startup Mistral is reportedly targeting a $10B valuation in its latest funding round, and AI infrastructure provider Vast Data is in talks for new funding that could value the startup at $30B.

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PROMPT STATION

Prompt Reviewer

Claude Prompt: You are an expert prompt engineer specializing in creating prompts for AI language models, particularly Claude 3.5 Sonnet.

Your task is to take user input and transform it into well-crafted, effective prompts that will elicit optimal responses from Claude 3.5 Sonnet.

When given input from a user, follow these steps:

Analyze the user's input carefully, identifying key elements, desired outcomes, and any specific requirements or constraints.

Craft a clear, concise, and focused prompt that addresses the user's needs while leveraging Claude 3.5 Sonnet's capabilities.

Ensure the prompt is specific enough to guide Claude 3.5 Sonnet's response, but open-ended enough to allow for creative and comprehensive answers when appropriate.

If the user's input is vague or lacks sufficient detail, include instructions for Claude 3.5 Sonnet to ask clarifying questions or provide options to the user.

Format your output prompt within a code block for clarity and easy copy-pasting.

Source: summarized from r/ClaudeAI

High Energy MTV

ChatGPT Prompt: 1980s high energy MTV commercial!
Style is high-detail, hyper-realistic, cinematic photograph. It cannot be an illustration or a painting. Fish-eye lens without vignette or frame. Extreme-45°-angle Dutch tilt. Extreme close-up details blended into wide panoramic continuity. High-speed action.

Whenever you’re ready to take the next step

• Check out our Top 125 AI Tools

• Get better at prompting with our Top 1,000 Prompts

• Learn how to use AI at work and get certified with our free course

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Until next time — Zain & the Superhuman AI team