The SANS’ ‘State of ICS/OT Cybersecurity in 2022 and Beyond’ report presents the responses of 332 ICS/OT organizations representing a range of industrial verticals across the ICS/OT community. Check it out! http://
ow.ly/4m1t50Mq957 @ptrancyber #sponsored #xona_ics #cybersecurity
RESEARCH
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SANS Report Reveals ICS/OT Cybersecurity Landscape 2022
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AI-Powered Audio Hypercompression Achieves 10x Better Rate Than MP3
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ICYMI, we shared some of our progress on AI-powered hypercompression of audio. We achieved ~10x compression rate vs. MP3 at 64 kbps with no quality loss — the first time this had been done with 48 kHz sampled stereo audio.
— AI at Meta (@AIatMeta) 13 janvier 2023
More on our blog ➡️ https://t.co/wEncd6rAbP pic.twitter.com/uBLfHMsD1bICYMI, we shared some of our progress on AI-powered hypercompression of audio. We achieved ~10x compression rate vs. MP3 at 64 kbps with no quality loss — the first time this had been done with 48 kHz sampled stereo audio. More on our blog https://
bit.ly/3FfgPCb -
Overfitting in AI Models: Legal and Ethical Disclosure Concerns
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Respecto a Copilot, Stable Diff y otras, nunca he escondido y puedes buscar ejemplos de las implicaciones de los niveles de overfitting que estas pueden tener en sus entrenamientos. Pero de ahí a no divulgar estas tecnologías cuando aún no hay ni una sentencia en contra, pues…
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The DevRel Show Launches with Expert Insights
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Feedback like this is what makes your day Started off with the first episode of "The DevRel Show" and got an overwhelming response! Thank you @DataScienceHarp
, @thedataprof
, and @hhthacker for the amazing insights. Link to the recording -
Correcting misconceptions about GPT model training data amounts
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Also note that other threads have incorrectly stated that 100T is the amount of the data the models were trained on. According to Hyro AI, GPT-3 was trained on 570GB of data. And according to Sigmoid, GPT-2 was trained on 40GB. I have not seen a rumored amount of data for GPT-4.
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GPT-4’s Rumored 571x Parameter Increase Compared to GPT-3
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This thread is for entertainment purposes only and is based on the rumored 571x gain in parameters for GPT-4 (100T) from GPT-3 (175B). As a point of comparison, the leap from GPT-2 to GPT-3 param count was only 116x. ChatGPT is finetuned from a model in the GPT-3.5 series.
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AI technological leap compared to stone tools to iPhone
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That’s how big of a leap this technology is. So when you see those of us who have worked in AI for the last decade describing these monumental shifts in research, compute, and capabilities, just know this isn’t AirPods to AirPods Pro. This is etching in stone to iPhone.
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GPT-3 vs GPT-4: Comparing Parameter Counts Through Marathon Distances
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You are GPT-3 parameter count and your friend is GPT-4’s. You walk 1 mile. Your friend, Eliud Kipchoge, completes almost 22 full marathons.
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GPT-3 vs GPT-4: Comparing Knowledge and Parameter Scales
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You are GPT-3 parameter count and your friend is GPT-4’s. You know everyone’s name in Cape Verde. Your friend knows every single person’s name in California…and everyone in the other 49 states as well.
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AGI Institute launches research organization for responsible AGI advancement
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The AGI Institute, a research organization of the impending future, will direct its endeavors towards the progression of AGI technology with the objective of advocating the prudent advancement and implementation of #AGI. Asset: https://
opensea.io/assets/ethereu
m/0x57f1887a8bf19b14fc0df6fd9b2acc9af147ea85/40687075301972954970831549997021074264737360683621591975543530604083373999847
… #AGIInstitute #MontrealAI