Welcome, AI enthusiasts.
North Korea is reportedly harnessing AI to accelerate cyber exploits — posing a severe threat to companies and individuals worldwide.
Is the world prepared to defend against the next level of cyber warfare? Let’s dive in…
🇰🇵 North Korea experiments with AI cyber attacks
💨 Brain-inspired IBM chip turbocharges AI
🛠️ 8 New AI tools
🎨 Quickly generate AI images with Google Search
🤖 3 Quick AI updates
SECURITY & AI
The Rundown: A US official just revealed that North Korea is escalating its cyber capabilities by using AI, posing a severe new threat to global enterprises.
Deputy National Security Advisor Anne Neuberger publicly confirmed North Korea is weaponizing AI for cyberattacks.
North Korea is applying AI and machine learning to expedite writing malware and identifying vulnerable targets.
The country’s past attacks, like the Sony hack and WannaCry ransomware deployment, caused billions in worldwide damages.
Revenue from cyber crimes may fund North Korea's missile program, motivating continued development.
Why it matters: For as much good as AI can accomplish — bad actors embracing AI has always been inevitable. Defenses must stay a step ahead to combat the malicious AI use cases already being developed.
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What “domain specificity” is and how to achieve it with large language models.
How to evaluate open source LLMs like Llama2, CodeLlama, and Mistral to help you build efficiently.
Best practices to train, run, customize, deploy, and scale LLMs when your goal is a successful, revenue-driven application.
The Rundown: IBM just developed a new brain-inspired AI processing chip called NorthPole, which can perform tasks like image recognition much faster while using far less power.
NorthPole has 256 cores with onboard memory, avoiding constant external memory access that slows processing.
In standard image recognition tests, it beat existing AI chips substantially on speed and energy efficiency.
The chip’s architecture is inspired by connections in the human cerebral cortex.
IBM estimates NorthPole could be 25x more efficient than current designs using the latest manufacturing.
The relevance: This breakthrough seems poised to unlock AI's next level of efficiency and speed. Will innovations like NorthPole allow IBM to challenge Nvidia for the AI chip throne?
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Google has quietly launched a fast, free, and intuitive AI image creator hidden in Search — but few people are aware of it.
Follow these steps to access and try it for yourself:
Go to labs.google.com
In "Google Search," click "Get started" on "SGE generative AI."
Activate the experiment.
If you live in a restricted are, you can access with a VPN.
Create images from prompts: Type any text description of the image you want generated. Our starting example was “a robot painting a mural outside with the text ‘The Rundown’ in the sky.“
Refine and edit: Once your images are generated, click into one to open Google’s editor. From here, click on the pencil/star icon below the prompt to have the AI improve your prompt, or add your own details.
Two tech titans are joining forces on AI, with Foxconn and Nvidia announcing plans to build "AI factories" — next-gen data centers that will pump out autonomous systems trained on Nvidia's cutting-edge hardware. The two companies hope to accelerate the “AI industrial revolution”.
Major music publishers are accusing Anthropic of illegally using 500+ song lyrics to train its AI assistant Claude. The lawsuit from a trio of studios (Universal Music, ABKCO, and Concord) claims Claude regurgitates copyrighted lines when prompted, violating publishers’ rights.
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