😺 OpenAI CEO: regulate AI
PLUS: 750k hits/month from AI content
Sam, you did well. Certainly better than the last tech CEO named Sam to testify before Congress (SBF: Scam Bankrun Fraud). 🤡
Here’s what’s going on in AI today:
Sam Altman advocated for regulating AI in his testimony before Congress.
A SaaS product hit 750k/mo in traffic from AI content.
Zoom is brining Anthropic’s Claude chatbot to its product suite.
Google added $160 billion to its market cap post AI annoucements.
OpenAI CEO Sam Altman Testified Before Congress 🧑⚖️
Yesterday, OpenAI CEO Sam Altman testified before Congress to advocate for regulatory measures in AI.
While OpenAI has no plans to stop releasing new models, Uncle Sam™ confirmed that he is very much pro-regulating them. Tech CEO wants regulation, that’s a first!
Why regulation: It could be to win over lawmakers, but if we take his word for it, Sam thinks that AI could cause irreparable damage if not controlled.
He proposed the creation of a regulatory agency tasked with issuing licenses and safety benchmarks for companies like OpenAI that develop large AI models. In other words, treat AI models like pharma drugs.
To their credit, lawmakers welcomed Sam’s suggestions (they literally said “tell us how to get this right”). Their own concerns gravitated more toward immediate issues with AI, like:
Supercharging election misinformation.
Copyright and licensing disputes.
On the last point, Sam admitted that AI will certainly automate some jobs, but that it will also create new jobs that are “much better.”
Why it matters: The necessity for proper AI regulation is now more pressing than ever. It's time for Silicon Valley and Congress to settle their differences and unite for a shared goal: making the world a better place. Awwwww!
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Going From 0 → 750k/mo In SEO Traffic Using AI 📈
We usually despise AI threads, but a headline that caught our eye yesterday was too tempting to ignore:
“We took a website from 0 to 750K/mo SEO traffic using 100% AI-generated content.”
Yes, you heard that right. Here's how they pulled it off:
We initially assumed that AI-generated SEO content would fall flat (ChatGPT is boring), but the strategy worked like a charm.
Why it matters: Now that the cat’s out of the bag on AI-driven SEO and there’s an affordable tool to do it (Byword costs $2,500/month for unlimited use), the race to fill websites and search engines with AI content is officially on.
We’ll be doing more case studies like this one over the coming months. Let us know what other topics you’d like to see in the feedback form! 👇
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Around the Horn 🦄
Midjourney China started accepted applications for beta users, though its corporate announcement disappeared soon after launch.
Zoom is partnering with Anthropic to integrate Claude across its platform.
Stability AI wrote a letter to the US Senate advocating for the importance of open models in AI oversight.
Google has added $160 billion in market cap since its AI announcements last week.
Treats To Try 🍿
Featured: Interested in learning more about AI? Check out Decrypt U’s latest course, “Getting Started with AI.” It covers everything from the history of AI to ChatGPT, and ChainGPT.
Nexus is an personal CRM AI assistant that navigates your entire network.
Trellus uses real-time analytics to provide sales reps with a personalized coach on every call.
Ollie helps you find the perfect gift for anyone in your life!
GPTeam is a customizable group of AI agents who collaborate to achieve predefined goals.
Wednesday Wirings 💸
Everseen raised $71 million for its computer vision that prevents self-checkout theft.
Hippocratic AI, a safety focused LLM for healthcare, emerged from stealth and raised a $50 million seed round.
New VC firm called Vela Partners, which uses AI and predictive algorithms to identify investments, raised a $25 million fund.
Together, which builds large, open-source generative AI models and the infrastructure to train them, raised $20 million.
NewLimit, a company researching life extension using AI models, raised $40 million.
Visual Layer raised a $7 million seed round to help data scientists detect issues in image datasets.
A Cat's Commentary 😻
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