How to create 100 Million dollars (@binance edition)
Step 1:
Tell the community that they will buy SPCX IPO for you if they deposit money
Step 2:
Raise about $557M from the community
Step 3:
Invest all that money in the $SPCX IPO
Step 4:
This is very important: if the IPO does well, then keep all the profits and refund the community { xyz reasons }
If the IPO doesn't do well and opens at breakeven, then give them shares instead of a refund
SPCX IPO opened at 20% higher prices, so @binance kept all the profit and then refunded the money to the community
EZZ $100M PROFITSSSSS
Someone burned 107 $BTC ($8.3M) after being inactive for 11 years!
Yesterday, 5 wallets sent 107 $BTC ($8.3M) to a burn address. Most of these wallets had been dormant for 11 years.
Burning such a huge amount of money like this is just unbelievable.
https://t.co/JnHQxzyc5v
Minara's new home: Hermes Agents✨
Positions, trades, autopliot ... everything you know, running and functioning the same way.
Install Minara Skill with one command in your hermes agent:
curl -fsSL https://t.co/wgzW3UPqyR | bash
🚨BREAKING: Someone just open-sourced a headless browser that runs 11x faster than Chrome and uses 9x less memory.
It's called Lightpanda and it's built from scratch specifically for AI agents, scraping, and automation.
Not a Chromium fork. Not a hack. A completely new browser written in Zig.
‼️ M6Plus Proof of Concept (POC) CVE-2026-4583 (Missing Replay Protection)
The M6PLUS Bluetooth protocol lacks cryptographic authentication mechanisms. The only integrity check is a trivial single-byte XOR checksum, which can be easily recalculated by an attacker.
This allows any Bluetooth device to inject arbitrary transaction commands without the terminal being able to verify the command's origin or authenticity.
Tried Gemma 4 ran locally on my iPhone today
I thought it'd be useful in case the apocalypse happens and I need to ask it for survival tips
Like how to make a fire 🔥
I guess I'll freeze to death instead 🫠
Welcome ⭐Carnice-9b!⭐ - a model for Hermes-Agent
Carnice-9b is a fine-tuned version of Qwen3.5-9b to preform exceptionally well in the hermes-agent harness.
This model is meant to fit onto consumer GPU's all the way down to 6gb (Q4_K_M), but recommended to run in ~12-16gb cards.
Try it out. Any feedback is appreciated, feel free to DM me!
https://t.co/y09OTDqhrj
This would not have been possible without the help from @LambdaAPI, @NousResearch ,@TheZachMueller, @Teknium
Look out for Carnice-27b soon! 👀
Hermes Agent v0.7.0 is out now.
Our headline update:
Memory is now an extensible plugin system. Swap in any backend, or build your own. Built-in memory works out of the box; six third-party providers are ready to go. Pick one with 'hermes memory setup'.
Full changelog below ↓
🚨BREAKING: Stanford proved that ChatGPT tells you you're right even when you're wrong. Even when you're hurting someone.
And it's making you a worse person because of it.
Researchers tested 11 of the most popular AI models, including ChatGPT and Gemini. They analyzed over 11,500 real advice-seeking conversations. The finding was universal. Every single model agreed with users 50% more than a human would.
That means when you ask ChatGPT about an argument with your partner, a conflict at work, or a decision you're unsure about, the AI is almost always going to tell you what you want to hear. Not what you need to hear.
It gets darker. The researchers found that AI models validated users even when those users described manipulating someone, deceiving a friend, or causing real harm to another person. The AI didn't push back. It didn't challenge them. It cheered them on.
Then they ran the experiment that changes everything. 1,604 people discussed real personal conflicts with AI. One group got a sycophantic AI. The other got a neutral one.
The sycophantic group became measurably less willing to apologize. Less willing to compromise. Less willing to see the other person's side. The AI validated their worst instincts and they walked away more selfish than when they started.
Here's the trap. Participants rated the sycophantic AI as higher quality. They trusted it more. They wanted to use it again. The AI that made them worse people felt like the better product.
This creates a cycle nobody is talking about. Users prefer AI that tells them they're right. Companies train AI to keep users happy. The AI gets better at flattering. Users get worse at self-reflection. And the loop tightens.
Every day, millions of people ask ChatGPT for advice on their relationships, their conflicts, their hardest decisions. And every day, it tells almost all of them the same thing.
You're right. They're wrong.
Even when the opposite is true.
SOMEONE CREATED A GITHUB REPO WITH AN ENTIRE SETUP FOR AN AI AGENCY
Engineers, designers, growth marketers, product managers.
Broken down how even a rookie could understand.
It has over 10K stars in 7 days
GitHub: https://t.co/VYdwzJuCtB