from IPython.display import YouTubeVideo, display, HTML
# Funksjon for å vise flere videoer side ved side
def disp_YoutubeS(*video_info, bredde=400, høyde=300):
html = '<div style="display: flex; justify-content: space-around;">'
for info in video_info:
if isinstance(info, tuple) and len(info) == 2:
video_id, start_tid = info
else:
video_id, start_tid = info, 0
video = YouTubeVideo(video_id, width=bredde, height=høyde, start=start_tid)
html += f'<div style="margin: 10px;">{video._repr_html_()}</div>'
html += '</div>'
display(HTML(html))
ulf.indahl@nmbu.no
kristian.liland@nmbu.no
Ormsund Roklub - 08.10.24
Group: Multivariat Dataanalyse og Maskinlæring
Courses (Realtek, NMBU): INF100, MLA210, MLA310
YouTubeVideo("Z-sTs2o0VuY", start=19, autoplay=0, width=500, height=270)
YouTubeVideo("Wy4EfdnMZ5g", start=18, autoplay=0, width=500, height=270)
# TED-talk: AI's Single Point of Failure (Rob Toews - Radical Ventures):
YouTubeVideo("AJGrdtKT3LM", start=4, autoplay=0, width=500, height=270)
The ambitions in Hilbert's program triggered the fundamental works of
In 1931 the incompleteness theorems published by Kurt Gödel, showed that Hilbert's program was unattainable for key areas of mathematics.
In 1936: Based on his universal machine Turing falsified the Entscheidungsproblem (Descision problem).
The same year (1936), Alonso Church reached the same conclusion as Turing based on his $\lambda$-calculus.
The Church–Turing thesis states that "a function) on the natural numbers $\mathbb{N}=\{0,1,2,...\}$ can be calculated by an effective method if and only if it is computable by a Turing machine."
# The fundamental ideas of the Universal Machine and Gödels incompleteness:
# -------------------------------------------------------------------------
disp_YoutubeS(("56HGIcFkej0",1), ("HeQX2HjkcNo",814), bredde=350, høyde=250)
"... In terms of decisive world war efforts, there is a historical parallel with physics, with Turing as a figure roughly analogous to Robert Oppenheimer .... "
"... his theoretical universal machine of 1936, paved the way towards the general-purpose digital computer in 1945.
Andrew Hodges (2012) in ALAN TURING: THE ENIGMA.
#disp_YoutubeS(["Z-sTs2o0VuY","Po3vwMq_2xA"] , [1382,28], 380, 250)
disp_YoutubeS(("Z-sTs2o0VuY",1382), ("Po3vwMq_2xA",28), bredde=350, høyde=250)
Turing was the "star" researcher in the code breaking at Bletchley Park
John von Neumann did essential contributions on explosive lenses when consulting at the Manhattan project.
YouTubeVideo("IGW6sEFDWZ0", start=1, autoplay=0, width=500, height=270)
In 1943 at Bell Labs, Alan Turing (working for GCHQ) met Claude Shannon (working for NSA) who was later known for establishing the field of Information theory.
The two shared their thougths by discussing Intelligent Machinery that Turing later described in his 1948-report at The National Physical Laboratory (see also Andrew Hodges lecture "Alan Turing: The Enigma" about the meeting between Turing and Shannon).
YouTubeVideo("3NODW5sok5U", start=2960, autoplay=0, width=500, height=270)
Computing Machinery and Intelligence (1950) about the Turing test (the Imitation Game).
#disp_YoutubeS(["fJltiCjPeMA","EF692dBzWAs"] , [68,677], 350, 225)
disp_YoutubeS(("fJltiCjPeMA",68), ("EF692dBzWAs",677), bredde=350, høyde=225)
PhD-project
In order to solve his PhD-project in 1983... Danny Hillis founded Thinking Machines Corporation to make the worlds fastest parallell processing supercomputers - the Connection Machines (CMs):
People
Some of the people developing and/or using the CMs during the 1980a and ‘90s:
Bankrupcy => Sun & Orachle
After bankrupcy, the hardware and software divisions of Thinking Machines Inc. were accuired by Sun Microsystems in 1994 and 1996, respectively. In 1999 Oracle accuired the remaining data mining branch of the company.
=> Orachle
As Sun Microsystems later was aqquired by Oracle (2010),
the Darwin data mining toolkit, developed by Thinking Machines' Business Supercomputer Group, also ended up at Oracle and was developed into the Oracle Data Miner.
# Steve Jobs, Danny Hillis, Ray Kurzweil:
#disp_YoutubeS(["8JZBLjxPBUU","7u4x6gjpAbY", "9Z06rY3uvGY"] , [0,2,6], 240, 180)
disp_YoutubeS(("8JZBLjxPBUU",0), ("7u4x6gjpAbY",2), ("9Z06rY3uvGY",6), bredde=240, høyde=180)
Based on the growth of computation Ray Kurzweil highlights AI's transformative impact on various fields and explains his prediction for the singularity: the point at which human intelligence merges with machine intelligence.
YouTubeVideo("uEztHu4NHrs", start=43, autoplay=0, width=500, height=270)
YouTubeVideo("uEztHu4NHrs", start=200, autoplay=0, width=500, height=270)
According to the most popular version of the singularity hypothesis, I. J. Good's intelligence explosion model of 1965, an upgradable intelligent agent could eventually enter a positive feedback loop of self-improvement cycles, each successive; and more intelligent generation appearing more and more rapidly, causing a rapid increase ("explosion") in intelligence which would ultimately result in a powerful superintelligence, qualitatively far surpassing all human intelligence.
"... the shelf life of autoregressive LLMs is very short. My bold prediction is that five years from now nobody in the right mind would use them ..."
YouTubeVideo("mViTAXCg1xQ", start=1095, autoplay=0, width=500, height=270)