đź“Ś GPT-6 Will Center on Memory

PLUS: Google Photos Gets Voice Edits

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The Summary AI
August 22, 2025

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After a rocky GPT-5 launch that sparked backlash over its “colder” persona, the OpenAI CEO revealed his first plans for GPT-6, arriving faster, built around memory, and aiming to make ChatGPT far more personalized, adapting to users’ tone, habits, and views. Let’s unpack…

Today’s Summary:

  • 🔥 Sam Altman teases GPT-6 with memory

  • 📸 Google Photos adds AI edits

  • đź’Š MIT uses AI to create new antibiotics

  • 🌎 Google Search expands AI Mode globally

  • 🤖 Deepseek launches hybrid agent model

  • 🎨 Qwen releases open-source AI editor

  • 🛠️ 2 new tools

TOP STORY

Sam Altman bets GPT-6 on memory

The Summary: OpenAI CEO Sam Altman says GPT-6 will arrive faster than past releases and will focus on memory, adapting to user preferences, tone, and views to make ChatGPT more personal. The comments follow a rocky GPT-5 launch that drew backlash over its colder persona. In the meantime, GPT-5 has begun producing new math and science, confirming real progress. Altman also hinted at trillion-dollar data centers, brain-computer interfaces, and even a Chrome bid as part of OpenAI’s next chapter.

Key details:

  • GPT-5 rollout drew backlash as users described the new bot as “colder”, leading OpenAI to restore GPT-4o to paid users

  • ChatGPT now reaches 700 million weekly users, quadrupling from a year ago, making it the 5th most visited website globally

  • GPT-5 recently proved new mathematics by tightening a convex optimization bound that researchers confirmed as correct and contributed to an advance in biology

  • Heavy users say GPT-5 may lose track of long conversations

  • Altman said OpenAI already has models stronger than GPT-5 but cannot deploy them due to GPU shortages

  • GPT-6 is pitched as the first truly personal ChatGPT, adapting dynamically to each user rather than offering a one-size-fits-all experience

  • OpenAI is working with psychologists to shape GPT-6’s memory system, aiming to track well-being and emotional responses

  • GPT-6 will ship faster than the gap between GPT-4 and GPT-5

  • He predicted trillions in data center spending, framing OpenAI less as a software firm and more as a utility

Why it matters: The focus on memory could move ChatGPT away from one-size-fits-all. If OpenAI builds personalization at scale, it could turn it into a tool that grows with each user, adapting to their routines, projects, and beliefs. The GPT-5 backlash shows how emotionally intertwined some people have become with their AI, raising new questions about AI companies’ responsibility when the availability of a model changes overnight.

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GOOGLE

Talk to Google Photos to edit your pictures

The Summary: Google Photos now lets users edit pictures by simply asking for changes. First launching on Pixel 10 in the US, the new feature uses Gemini to handle everything from removing objects to creative edits like adding image elements. Google is also rolling out Content Credentials for transparency, showing when images were modified with AI.

Key details:

  • Edits can be requested via text or voice, from “remove reflections” to “restore old photo”

  • Multiple edits can be chained in one prompt, with follow-up instructions

  • C2PA Content Credentials marks images edited with AI tools

  • Beyond fixes, users can ask Google Photos to add elements like hats or change backgrounds

  • Available first on Pixel 10 in the US, then rolling out to Android and iOS in coming weeks

Why it matters: The ability to describe edits natively instead of learning complex tools lowers the barrier to advanced photo editing. Tools like C2PA may become standard for showing which photos are real and which are AI-edited. The mix of ease and accountability means AI tools can stay simple to use while still being verifiable.

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RESEARCH

MIT uses AI to create new antibiotics

The Summary: MIT researchers used generative AI to design new antibiotics that target two of the toughest superbugs: drug-resistant gonorrhea and methicillin-resistant staphylococcus aureus (MRSA). The team generated more than 36 million compounds and found two promising candidates with new mechanisms of action. Both cleared infections in mouse models, offering new hope in the fight against antibiotic resistance.

Key details:

  • Antibiotic resistance contributes to nearly 5 million deaths annually, with direct fatalities over 1.2 million

  • The new AI-generated compound NG1 disrupts the bacterial outer membrane by targeting a protein called LptA

  • The second compound, DN1, cleared MRSA skin infections in mice with membrane-disrupting effects

  • Traditional antibiotic discovery has delivered only a few dozen new drugs in 45 years, mostly minor variations of old ones

Why it matters: Drug resistance is one of the biggest health threats today, but drug companies often avoid antibiotics because they aren’t used enough to be profitable. That’s why resistance has been winning for decades. AI can flip this problem by designing entirely new compounds much faster, giving scientists a way to find “last-resort drugs” when we need them most. If the new candidates make it through trials, they could buy time in the fight against superbugs.

TOOLS

🥇 New tools

That’s all for today!

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