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ChatGPT- ഡെ new image model വരുന്നു ..
PLUS: NotebookLM new features | L8R by Innov8


Rumours say OpenAI is secretly roasting Chestnuts and Hazelnuts. 🌰
But here’s the real tea ☕:
OpenAI seems to have leaked a new image model that does something old models always failed at
clean code inside images.
No more alien letters when you ask for Python snippets in a PNG.
At the same time, Microsoft quietly dropped an AI that turns a ₹800 tissue slide into a cancer-fighting data machine.
Google’s NotebookLM is slowly turning into that toppper friend who speaks 80 languages and helps you finish homework.
So grab your snacks
I’m Alex. Welcome to L8R by Innov8.
Let’s DIVE DEEP 🧠👇
In today’s post:
OpenAI’s new image model can now draw actual, readable Python code inside an image
Microsoft’s new AI can convert a ₹800 slide into a cancer research powerhouse
NotebookLM now talks in 80 languages and behaves like a teacher who never gets tired
GPT-Image-2 (Chestnut & Hazelnut)

People in AI forums are talking about two secret OpenAI image models: “Chestnut” and “Hazelnut.”
They say these models can:
Make celebrity-style selfies
Put real code and formulas inside images
Mix anime + pencil sketch + claymation in one single picture
Nothing is official yet. But the leaks are already making artists nervous and excited at the same time.
📰 What’s New?
Two secret models in tests
Testers on sites like Design Arena and LM Arena found two new OpenAI image models.
They call them Chestnut (small / mini model) and Hazelnut (bigger main model).
People think Chestnut is like “Image-2-mini” and Hazelnut is the full “Image-2” model.
Better world knowledge & selfies
Early scores say these models know real-world facts almost as well as Google’s top image model.
They can make super realistic selfies with good lighting, skin tone, and face shape.
Quality looks better than GPT-Image-1.
Real code and text inside images
Old image models often made broken text or gibberish code.
Chestnut/Hazelnut can draw readable code, flowchart labels, and math formulas inside images.
This is useful for slides, diagrams, and UI mockups.
Cleaner structure and colours
Objects in the image stay in the right shape and place.
Colours look natural and balanced, not weird or over-saturated.
Style is more consistent across a whole image.
Built on GPT-4o base
Testers think these image models are built on GPT-4o tech.
But they still feel like a big jump over GPT-Image-1 (released in 2025).
🚨 Why It Matters
Better tools for normal people
Anyone can make pictures that look like pro photos, comics or posters, just by typing a prompt.Huge win for devs and teachers
Clear code blocks, charts, and math inside images help with teaching, docs, and app design.AI image wars are heating up
Google’s Nano Banana Pro and ByteDance’s USO are already strong.
These leaks show OpenAI is trying to climb back to #1.Hint of future GPT
People think Chestnut/Hazelnut may ship with GPT-5.2, showing a tighter link between text and images.
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Microsoft GigaTIME — Cancer Research AI

Microsoft’s new AI model GigaTIME can look at a cheap tissue slide (around $10) and guess super-detailed immune system data that usually needs expensive lab tests.
It’s like turning an old black-and-white TV into a 4K smart TV using only software.
📰 What’s New?
What is GigaTIME?
Full name: Gigapixel Tumor MicroEnvironment.
It looks at normal H&E slides (the standard pink-and-purple slides pathologists use).
It predicts what a fancy lab test called multiplex immunofluorescence (mIF) would show.
It can predict 21 different protein channels for each slide.
Huge training dataset
Trained with Providence Health in the US.
Used 40 million cells where each cell had:
A normal H&E image
A matching real mIF image.
Large-scale testing
Then applied to 14,256 cancer patients.
Data came from 51 hospitals and 1,000+ clinics.
It generated about 300,000 virtual mIF slides.
Covered 24 cancer types and 306 cancer subtypes.
New patterns found
GigaTIME helped find 1,234 important links between:
Protein activity
Cancer type, stage, or patient survival.
For example, links between:
Proteins like CD138, CD20, CD4
Genes like KRAS and KMT2D
And how many immune cells are inside a tumor.
External check
They tested the model on a separate group of 10,200 patients from TCGA (a big cancer database).
The predicted protein values matched real lab results with a high correlation (0.88).
Open-source
Microsoft released GigaTIME for researchers on Foundry and Hugging Face.
This means many labs can build on top of it.
🚨 Why It Matters
Big cost drop
Real mIF lab test: about $550 per slide.
Normal H&E slide: about $5–10.
GigaTIME can turn cheap slides into virtual rich data in ~20 minutes per slide on a single GPU.
Faster research
Old style: only small groups of patients can be tested.
New style: hundreds of thousands of slides can be re-used as rich data.
This speeds up new biomarker discovery.
Better understanding of immunity
Helps scientists see where immune cells live inside tumors.
Helps guess who may respond better to treatments like immunotherapy.
Step toward “virtual patients”
GigaTIME’s data could combine with genomics, scans, and notes.
This can help create digital twins of patients to simulate treatments.
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NotebookLM gets NEW updates

Remember that one smart kid in class who:
Takes great notes
Explains things clearly
Helps everyone before exams?
Now Google is trying to make that kid into an AI app called NotebookLM.
And it keeps getting smarter — it now finds sources, reads PDFs with images, makes flashcards, quizzes you, talks in 80+ languages, and even acts like a personal tutor.
📰 What’s New?
1. Discover Sources & Multimodal PDFs
You can click “Discover sources” and NotebookLM will find related web pages and add them to your notebook.
It can read PDFs with text, images, and graphs together.
Available in many countries and supports dozens of languages.
2. Video & Audio Overviews in 80 Languages
NotebookLM can create short video summaries of your notes.
These video and audio overviews now support around 80 languages.
Non-English audio summaries are now as good and detailed as English ones.
3. Flashcards, Quizzes & Learning Guide
It can turn your notes or textbook pages into:
Flashcards
Multiple choice questions
Practice quizzes
Each card has an “Explain” button with more detail and citations.
A new mode called “Learning Guide” acts like a tutor:
Asks you questions
Breaks topics into steps
Makes you think before showing the answer.
4. More report formats & fun audio modes
Reports can now come out as:
Blog posts
Research proposals
Whitepapers
Audio Overviews got new modes like “Critique” and “Debate” where two AI voices discuss a topic.
5. Deep Research agent & more file types
A new Deep Research mode can handle big, complex questions.
It reads your files plus online sources and builds a structured report with citations.
You can upload spreadsheets, slide decks, and other file formats, not just PDFs or docs.
6. Custom Personas & Bigger Instructions
You can now give up to 10,000 characters of custom instructions.
This lets you set NotebookLM as:
A product manager
A teacher
A research assistant
Or any custom role you want
It also remembers more of your past chat for better context.
🚨 Why It Matters
Better study partner
It doesn’t just summarize. It teaches, quizzes, and guides you.
Works for many languages
80+ languages means students around the world can use it, not only English speakers.
Helps with real research
Deep Research mode + Discover Sources = faster literature review style work.
More personal
Custom personas and big instruction fields mean NotebookLM can match your style and goals.
Active learning
Flashcards, quizzes, and Learning Guide make you think and respond, which helps you remember more.
🚨 Quick L8R Summary
OpenAI's Secret Snacks: Leaked tests reveal two new OpenAI image models (codenamed "Chestnut" and "Hazelnut") that can finally write perfect code and math formulas inside images.
Microsoft's $10 Cancer Breakthrough: A new AI called GigaTIME turns cheap, standard microscope slides into rich, expensive lab data, speeding up cancer research massively.
The Ultimate AI Tutor: Google's NotebookLM just got a huge update—it now speaks 80+ languages, summarizes videos, and creates quizzes to help you study.
Ithrollu innathe AI Update.
appo adutha l8ril varam.. bie.
Innathe L8R engane ondarunnu? |
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