Google Gemini breaks 90% mark for MMLU, which is beyond expert human level for this set of tests. For the first time, a large language model has breached the 90% mark on MMLU, designed to be very difficult for AI. Gemini Ultra scored 90.04%; average humans are at 34.5% (AGI) while expert humans are at 89.8% (ASI). GPT-4 was at 86.4%.
Gemini is estimate to have
* 1-2 trillion parameters
* 10-20 trillion data tokens
Gemini gets us closer to AGI. AGI = artificial general intelligence = a machine that performs at the level of an average (median) human.
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
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Does that 34 minute video give any useful information beyond what I read in less than a minute on your page?
Yes, it does have useful info. I tried to highlight the most important bits. But if you want to know more about how the OpenAI large language model, Baidu’s Ernie and the Google Gemini compare then listen to audio. The video has no actual useful video it is an audio recording of a podcast.
[ ‘I disagree with the behavior of the scientists for the LK99 situation and for science areas like molecular nanotechnology and cold fusion.’
What would be a Deepmind Gemini Ultra (~1500B) summary to LK99 (thin film) properties/capabilities or suggestions for ‘carbonaceous supercapacitor material’ structures? ]
i am writing a program in sinclair spectrum basic. it plays fizzbuzz up to 20. can you write it for me please?
10 PRINT “FizzBuzz”
20 PRINT “1”
30 PRINT “2”
40 FOR I = 3 TO 20
50 IF I MOD 3 = 0 AND I MOD 5 = 0 THEN
60 PRINT “FizzBuzz”
70 ELSE IF I MOD 3 = 0 THEN
80 PRINT “Fizz”
90 ELSE IF I MOD 5 = 0 THEN
100 PRINT “Buzz”
110 ELSE
120 PRINT I
130 ENDIF
140 NEXT I
150 PRINT “20”
160 END
Try Print “1” in a programming interview and you won’t get very far.