gaoxxx

Bro wtf😭

SOMEONE MADE A DIGITAL WHIP TO MAKE CLAUDE WORK FASTER 💀

Apple’s 50th anniversary celebrations will conclude this week with a finale at its Cupertino campus for employees. Staffers are pumped after being told who the headliner is. Let me just say he’s still going strong, was part of the British Invasion and Jobs would’ve been ecstatic.

the engineers who named the algorithm

JUST IN: OpenAI reportedly offering private-equity firms a guaranteed minimum return of 17.5% in push to raise fresh capital.

How to Set Up OpenClaw in 30 Minutes (Step-by-Step): 00:00 Intro 00:51 VPS vs local 02:05 Installation: VPS 08:40 Installation: Local setup 13:00 5 top files 15:40 soul.md 18:32 Choosing models 20:27 Telegram Topics 22:28 Prompting 23:06 Skills 24:36 Subagents 26:18 Recap

Mac just had its best launch week ever for first-time Mac customers. We love seeing the enthusiasm!

maturing is realizing that FTX was one of the best investors in crypto industry: > $500M in Anthropic would now be worth roughly $30.4B > $1B in Solana would now be worth roughly $5.1B > $648M in Robinhood would be $5.7B > $100M in Sui would be $1.2B > $1.15B in Genesis Digital Assets would be $3.5B > $700M in SpaceX via K5 would be $3B did some estimates and their total portfolio would be up from $4.7B to $52.5B which is a $47.8B in rise absolutely nuts

THIS IS SO TRUE 💀💀💀

for a while i've had a slight fear that the bluetooth from my airpods could be frying my brain this weekend i pulled the raw data from a $30m government study of 1,679 mice blasted with cell phone radiation and reanalyzed it what i found was...not what I expected? 🧵

🚨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.

BREAKING: Amazon reportedly holds mandatory meeting after “vibe coded” changes trigger major outages.