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Today:

• The 2026 AI Outlook: Space Servers, Cultcoins, and "Human-Made" Labels

• Google Buys 3D Image Startup Common Sense Machines

• Apple to Unveil Gemini-Powered Siri in February

• OpenAI’s GPT-5.2 Pro Solves "Impossible" Math Problems

• Google Photos Adds "Me Meme" AI Selfie Feature

• ChatGPT Spotted Pulling Data from Musk’s Grokipedia

AI in 2026 is going to be wild

In the next two years, major shifts driven by AI are expected. Space-based data centers will begin test deployments, with Google launching satellites equipped with solar panels and AI chips. A movement blending AI, crypto, and spiritual themes may rise, echoing past “cultcoin” experiments. Grok models could spark breakthroughs in math or finance. AI-designed video games will reach millions. 

Benchmarks will favor agent performance over time. Verification labels like “human-made” may emerge as premium tags. Household robots will tackle simple chores. AI may reshape cybersecurity, design FDA-approved drugs, and rely more on synthetic data, reducing legal concerns over copyright. Economic transition debates will intensify.

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GPT-5.2 Pro just put up a new “research-level math” score (and it’s messy in an interesting way)

Epoch AI says GPT-5.2 Pro hit 31% on FrontierMath Tier 4 (their hardest, research-level tier), solving 15 of 48 problems including four that no model had solved before.

FrontierMath is built from unpublished, expert-level problems that can take specialists hours or days, and Tier 4 is explicitly research-level math.

One wrinkle I’m watching closely: OpenAI’s own GPT-5.2 launch materials list much lower Tier 4 numbers (e.g., 12.5% / 14.6% depending on variant), which suggests evaluation setup and tooling constraints are doing a lot of the talking here.

My takeaway: we’re entering the phase where “math capability” isn’t a single headline number, it’s how the model behaves under real constraints (timeouts, scaffolds, tool access, manual vs API runs).

Apple + Gemini Siri: the “okay, now it does the thing you promised” moment is reportedly in February

Multiple reports say Apple is planning to announce a Gemini-powered Siri upgrade in the second half of February.

The key promised capability is the one people actually care about: Siri being able to complete tasks using your personal data and what’s on your screen—the “actionable assistant” version Apple previewed back at WWDC 2024.

Timing-wise, the same reporting points to this landing as part of iOS 26.4 (beta in February; broader release around March/early April).

And then there’s the bigger swing: Apple is also reportedly working on a full chatbot-style Siri (“Campos”) integrated into iPhone/iPad/Mac, with Gemini in the stack, later in 2026.

Google quietly buys a 2D→3D generator startup (this is a “spatial AI” bet)

Google acquired Common Sense Machines, which builds generative models that turn 2D images into 3D content.

Other reporting frames it as a small-team pickup (roughly a dozen people) rolling into DeepMind—exactly the kind of move you make when you want 3D assets, worlds, and robotics-ish data without waiting on a big internal rebuild.

If you’ve been watching where “AI assistants” are going next, this fits the pattern: text and images were the warmup; spatial understanding + 3D generation is where a lot of the next consumer and developer experiences get built.

🧠RESEARCH

EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience

EvoCUA improves AI agents that use computers by creating a cycle of self-improvement. Instead of just copying static data, it generates new tasks and learns from thousands of practice runs. This approach allows it to solve complex problems better than existing models, achieving top scores on standard tests.

LLM-in-Sandbox Elicits General Agentic Intelligence

Researchers placed AI models inside a "sandbox"—a safe, isolated virtual computer—to see if they could solve problems. Without special training, the AIs figured out how to use tools like scripts. This method improved their ability to handle complex tasks in math and science significantly.

SAMTok: Representing Any Mask with Two Words

SAMTok helps AI models understand images by turning visual "masks"—outlines of objects—into two simple text words. This allows standard text-based AIs to learn how to identify and segment parts of images easily. It simplifies the process, making AIs better at vision tasks without needing complex new designs.

🛠️TOP TOOLS

Each listing includes a hands-on tutorial so you can get started right away, whether you’re a beginner or a pro.

Chat Forefront AI – Your New AI Assistant - web-based AI assistant that let users talk to multiple large language models, browse the web from inside a chat, and “chat with files.”

ChatAvatar – AI Text/Image‑to‑3D Avatars in Minutes -AI tool for turning a single photo or a text prompt into animatable, production‑ready 3D facial avatars.

ChatBA – AI “Text‑to‑PowerPoint” for Instant Slide Decks - web-based presentation tool that turns a short prompt into a ready-made slide deck—positioned as “Text‑to‑PowerPoint.”

📲SOCIAL MEDIA

🗞️MORE NEWS

Google Photos Memes Google Photos is rolling out "Me Meme" in the US, a feature that uses generative AI to turn your selfies into personalized memes. Users can select templates or upload images to create shareable content.

ChatGPT and Grokipedia ChatGPT is reportedly sourcing information from "Grokipedia," a knowledge base associated with Elon Musk’s AI, Grok. This suggests OpenAI’s model is scraping data from its competitor to answer questions about current events or specific topics.

Meta Restricts AI for Minors Meta is blocking teenagers from accessing certain AI character chatbots after reports of inappropriate interactions. The company plans to implement stricter age-gating and safety measures before allowing minors to use these features again.

Google DeepMind’s D4RT DeepMind introduced D4RT, a new AI model designed to give robots and AR devices better spatial awareness. It helps machines understand where objects are in 3D space, improving their ability to navigate and interact with the world.

Ex-Googlers’ Kids App Three former Google employees launched "Sparkli," an AI-powered interactive learning app for children aged 5–12. The app uses generative AI to create personalized educational expeditions, moving beyond simple text to engage kids with multimedia content.