I'm canceling my Adobe subscription after testing this.

Skywork just stacked GPT-Image-2 + Nano Banana 2 into one design workspace.

No Photoshop. No Illustrator. No designer.

Posters, logos, and full brand kits in seconds.

Here's how it works ↓
It's called Skywork Images.

→ Powered by GPT-Image-2 (99% text accuracy)
→ Nano Banana 2 (4K renders in under 10 sec)
→ Fully editable canvas — not a one-shot generator
→ Exports straight to PDF, print-ready

This isn't a prompt box. It's a workspace.

Try it free: skywork.ai/p/Ht3XoB

I'm replacing every memory layer I've ever built into an agent with this.

SureThing dropped SOTA on LongMemEval.

88.0% overall. 91.0% knowledge update. 76.7% single-session preference.

Number one across every category that actually matters.

Then their own AI walked up to the screen and started explaining the whole thing itself.

Nobody asked it to. Every memory system I've built before this worked the same way.

Store something. Retrieve it later. Hope the retrieval actually finds the right thing.

Two separate systems pmretending to be one.

@getsurething threw that model out completely.

The memory IS the computation. Fully fused. One architecture, not two bolted together.

That's the difference. That's why the numbers look the way they do.

A Chinese lab just dropped a 1 TRILLION parameter thinking model.

For free.

It's called Ring-2.6-1T from InclusionAI and it just made every $200/month "agent" subscription look like a scam.

Here's why this changes everything ↓
The numbers are absurd:

→ 1 Trillion total parameters
→ 63B active (MoE architecture)
→ 262,144 token context window
→ 65,536 max output tokens
→ $0 input. $0 output.

This isn't a stripped-down demo. This is the full model.

This is genuinely impressive.

Gauth just dropped Atlas and it might be the end of textbooks.

Type any topic like "Silk Road," "how a camera works," "fall of Constantinople" and it builds you a hand-drawn, interactive visual world you can walk through.

No more reading walls of text. You explore knowledge like a map.

Here's how to use it (step by step): ↓ 1. Go to

No signup wall. No paywall. Works straight in your browser.

This is the same Gauth that hit #1 in Education on the App Store built by ByteDance, used by millions of students.gauthmath.com/atlas

GOOGLE QUIETLY BUILT THE SMARTEST LEARNING TOOL ON THE INTERNET

Google's NotebookLM has been free for months and it's better than any tutor I've ever paid for.

But 90% of people are using it completely wrong.

I'll give you 10 NotebookLM prompts to learn anything in record time. 1. The Feynman Decomposer

"Take every major concept in this material and rebuild each one as if you were Richard Feynman teaching a curious 12-year-old. Use only everyday analogies, real-world examples, and zero jargon. After each explanation, list the 3 most common misconceptions students have about this concept and explain exactly why those misconceptions feel intuitive but are wrong. Then test my understanding by asking me one question that forces me to apply the concept in a scenario not covered in the source material."

China just open-sourced a trillion-parameter model that burns fewer tokens than your favorite "efficient" US model.

Ling-2.6-1T is now public, inspectable, and benchmarkable.

The closed-model moat just got smaller. Ant Group dropped this as a flagship, not a research toy.

1T parameters. Non-reasoning architecture. Fast-thinking by design.

It's not built to impress you with long chains of thought.

It's built to finish the task in fewer tokens than the models you're currently paying for.

DeepSeek V4 just went live on ZenMux with free versions at launch.

Same coding power as Claude Opus 4.7.
7x cheaper on Pro. 90x cheaper on Flash.
1M native context. MIT licensed.

Here's how to swap it into Claude Code in 3 minutes 👇 First, the numbers everyone's freaking out about.

Claude Opus 4.7 output: $25/M
DeepSeek V4-Pro output: $3.48/M
DeepSeek V4-Flash output: $0.28/M

SWE-bench Verified:
→ Opus 4.7: 80.8%
→ V4-Pro: 80.6%

Tied on coding. Tiny fraction of the bill.

Wow... A YC-backed startup just turned game development into a single text box.

It's called CodeWisp. Type what you want and it gives you a playable game right in your browser.

No Unity. No Godot. No 5 years of tutorials. Just describe and play.

100% browser-based. CodeWisp is a browser-based AI game builder backed by Y Combinator.

You describe the game you want in plain English.

It generates the complete code, structure, and assets automatically.

2D games. 3D games. Multiplayer browser games. All from a single prompt.

Ok this feels like cheating.

AntLingAGI dropped a 1T parameter model that runs like it's 7B.

No reasoning-model delay. No 40-second thinking spiral. Just instant answers at frontier scale.

Free on OpenRouter starting tonight for a full week.

Here's what I found after testing it ↓ First thing I noticed: token efficiency is wild.

Most 1T-class models burn through context like they're trying to lose a bet. Ling-2.6 gets to the answer without the usual 800-token preamble about what it's "about to do."

Feels built by people who actually use these models.

Google has a recording of every search you've ever made.

Every place you've ever been. Every YouTube video you've ever watched.

Go to right now.

You'll find searches from 2015. Voice recordings. GPS coordinates.

All stored. All linked to your name.

Here's how to see it and delete it:myactivity.google.com This isn't a conspiracy theory.

A peer-reviewed study from Trinity College Dublin found that your Android phone contacts Google's servers every 4.5 minutes.

Even when you're not touching it. Even when the screen is off.

It sends your device ID, your phone number, your SIM serial number, and your location.

Even if you never signed into a Google account.

Source: Professor Douglas Leith, Trinity College Dublin, 2021.

Ok this is kind of wild.

A mystery 100B model just appeared at the top of OpenRouter out of nowhere.

No model card. No announcement. No idea which lab made it.

It's called Elephant Alpha and it's already beating half the paid models on the leaderboard. The specs are what make it weirder.

→ 100B parameters
→ 256K context window
→ 32K output tokens
→ Function calling + structured output + prompt caching
→ $0 per million input tokens
→ $0 per million output tokens

You could run this against a full codebase today for free.

After 2 months of using Claude Cowork daily, I can say it's the tool that has changed how I work more than anything else.

So here are 10 mega prompts that automated my entire business and could do the same for you: PROMPT 1: BULK CONTENT PRODUCTION SYSTEM

---


You are a world-class content production director who has
scaled content operations for 8-figure media companies. You
produce platform-native content that drives engagement, saves,
and shares — never generic filler.



I am uploading a folder containing 25 raw topic briefs as
text files. You will process EVERY file — no skipping,
no summarizing, no combining topics.



For each topic brief, produce the complete content package:

1. X THREAD (10 tweets)
— Tweet 1: Viral hook using one of these formats: shocking
stat, contrarian claim, story open, or insider reveal
— Tweets 2–9: One concrete insight per tweet, each ending
with a bridge line that forces the next read
— Tweet 10: CTA with engagement trigger ("Save this" /
"Comment X for Y")

2. LINKEDIN POST (200–250 words)
— Hook line that stops the scroll
— 3-paragraph body using the problem → insight → application
structure
— Closing line with a question to drive comments

3. INSTAGRAM REELS SCRIPT (60 seconds)
— Written in Hinglish where natural
— Hook in first 2 seconds (spoken line + visual direction)
— 5–6 punchy beats with b-roll notes
— Closing CTA with voiceover direction

4. 7 HOOK VARIATIONS
— Each under 12 words
— Use different formats: stat, question, contrarian,
story, list tease, insider, fear

5. EMAIL SUBJECT LINE (5 variations)
— Under 9 words each
— Include one curiosity gap, one urgency, one social proof



— Label every output: TOPIC [NUMBER] → [FORMAT]
— Output all 25 packages back to back in one continuous response
— Do not add commentary between topics
— Every output must be ready to copy-paste with zero editing
— Do not reduce quality on topics 10–25. Maintain identical
depth throughout.

🚨 BREAKING: OpenAI and Anthropic engineers don't prompt like everyone else.

I reverse-engineered 10 Claude secret codes from internal docs, power users, and leaked examples.

Here are 10 Claude secret codes that separate the top 1% of AI users from everyone else.

(Save before this disappears) 1. /ghost → Strips every AI pattern from Claude's writing.

The output reads like a human wrote it. Because that's exactly the mode it activates.

Use before any content you don't want flagged or sounding robotic.

BREAKING 🚨: You don’t need to pay for AI anymore.

Open-source models are now matching GPT-5 performance and you can run them directly on your laptop for free.

No subscription. No API key. No data leaks. Just unlimited AI on your own device.

🚨BREAKING: Claude can now write your entire job application like a top recruiter.

Here are 15 prompts that turn a job description into a tailored CV, cover letter, and interview prep guide in under 2 minutes (Save this)
1. The "Salary Negotiation Script" Prompt

"Act as a senior career coach. I've received an offer of {salary} for {role}. Based on market rates and my experience: {summary}, write me a negotiation script that's confident, professional, and positions me to counter at {target salary} without risking the offer."

Most people leave $10K–$30K on the table. This closes that gap.

Holy shit... Someone just built the world's largest AI image prompt library and made it free.

It's called MeiGen, it scrapes the most popular prompt posts from X each week and puts them all in one place.

No prompt engineering. No guessing. Just steal what's already working.

100% free. 100% Open Source. Here’s the problem MeiGen solves:

Some of the best AI image prompts are on X.

But they get lost in your bookmarks, likes, and the “I’ll come back to this” pile—until you never do.

MeiGen finds the best prompts each week and puts them in one place. They’re curated, organized, and easy to search.

🚨 BREAKING: Someone just leaked their full Claude Cowork setup and it compresses an entire workday into 90 seconds.

I scraped every power user workflow across X, Reddit, and private Slack groups to find out how.

99% of people are using it completely wrong.

Here's what the top 1% actually do 👇 Prompt 1: Inbox triage + summarization

"You are a Chief of Staff with 10 years of executive support experience.

I need you to process my inbox one email at a time using this exact chain of reasoning:

Step 1 → Classify: Is this urgent (needs reply today), important (needs reply this week), or noise (unsubscribe/archive)?
Step 2 → Extract: Pull out the sender, request, deadline, and any names mentioned.
Step 3 → Draft: Write a reply under 4 sentences. Match the sender's tone. Never use "I hope this email finds you well."
Step 4 → Flag: If it involves money, legal language, or a deadline under 24 hours, mark it [ESCALATE] before the reply.

Process every email in my inbox folder. Output in this format:
[CLASSIFICATION] | [EXTRACTED INFO] | [DRAFT REPLY] | [FLAG IF NEEDED]

Do not stop until every email is processed."

🚨BREAKING: This github has entire blueprint for building ChatGPT from scratch and put it on GitHub for free.

It's called LLMs-from-scratch and it walks you through building a GPT model in PyTorch line by line.

No black boxes. No hand-waving. Every single piece of the architecture explained and coded.

Here's why this changes everything for AI builders: ↓ Most people using ChatGPT every day have zero idea how it actually works under the hood.

Attention mechanisms. Tokenization. Pretraining. Finetuning. RLHF.

They're all magic words until you build one yourself.

This repo fixes that.

🚨BREAKING: GOODBYE POWERPOINT forever.

Claude just collapsed 10 hours of presentation building into 100 seconds completely free.

Here are 12 prompts to go from completely unprepared to completely untouchable in every meeting: (Save this): 1. Complete Presentation Blueprint

Act like a professional presentation consultant who has built decks for Fortune 500 boardrooms and billion-dollar pitch meetings. Create a complete presentation blueprint for [topic]. Define the objective, target audience, key message, emotional arc, and exact slide flow. Make every section earn its place and eliminate anything that doesn't move the audience toward one clear decision.

Holy shit... Someone just built the ultimate prompt collection for AI image creators.

It's called MeiGen, it scrapes the hottest prompt posts from X every week and curates them in one place.

No more bookmarking 50 tweets. No more losing that prompt you saw 3 days ago.

100% free. 100% Open Source. Here's the problem MeiGen solves:

The best AI image prompts live on X.

But they're buried in your bookmarks, your likes, your "I'll come back to this" pile that you never come back to.

MeiGen pulls the hottest ones weekly curated, organized, searchable.

Holy shit... Someone finally benchmarked AI code reviewers on REAL pull requests.

Not demos. Not vibes. Actual F1 scores across 8 tools.

The gap between #1 and #8?

34 percentage points.

Your eng team is probably using the wrong one right now: ↓ @entelligence benchmarked 8 tools on real pull requests.

Every "which code review tool should we use" convo ends the same way:

→ Someone shares a demo
→ Someone shares a vibe
→ Nobody has real numbers
→ Team picks based on brand recognition

That era is over.