y Jonathan Chadwick
May 18, 2022
Google's hype on DeepMind exceeds reality in achieving Artificial
General Intelligence (AGI).
According to Tristan Greene of
"It's not a general AI, it's a bunch of pre-trained,
narrow models bundled neatly."
What is certain is Google's ability
to 'make it so' and fool a public that cannot distinguish between
'magic' and 'reality'...
DeepMind expert suggests the hardest tasks to create a human-like AI
The London firm wants to build an 'AGI' that has the same
intelligence as humans
This week DeepMind unveiled a program capable of achieving over 600
'The Game is Over!'
Google's DeepMind says
it is close to achieving
'human-level' artificial intelligence,
but it still needs to be
DeepMind, a British company owned
by Google, may be on the verge of
artificial intelligence (AI).
Nando de Freitas, a research scientist at
DeepMind and machine
learning professor at Oxford University, has said 'the game is over'
in regards to solving the hardest challenges in the race to achieve
artificial general intelligence (AGI).
AGI refers to a machine or program that has the ability to
understand or learn any intellectual task that a human being can,
and do so without training.
According to De Freitas, the quest for scientists is now scaling up
AI programs, such as with more data and computing power, to create
Earlier this week, DeepMind unveiled a new AI 'agent' called
that can complete 604 different tasks,
'across a wide range of
Gato uses a single neural network - a computing system with
interconnected nodes that works like nerve cells in the human brain.
It can chat, caption images, stack blocks with a real robot arm and
even play the 1980s home video game console Atari, DeepMind claims.
DeepMind, a British
company owned by Google,
may be on the verge of achieving
human-level artificial intelligence (file photo)
Gato uses a single neural network
- computing systems with
that work like nerve cells in the human brain -
to complete 604 tasks, according to DeepMind
De Freitas comments
came in response to an opinion piece published on
The Next Web that said humans alive today won't ever achieve AGI.
De Freitas tweeted:
'It's all about scale now! The Game is Over! It's about making these
models bigger, safer, compute efficient, faster...'
admitted that humanity is still far from creating an AI that can
Turing test - a test of a machine's ability to exhibit
intelligent behavior equivalent to or indistinguishable from that
of a human.
announcement of Gato, The Next Web article said it demonstrates AGI
no more than virtual assistants such as
Amazon's Alexa and
Apple's Siri, which are already on the market and in people's homes.
'Gato's ability to
perform multiple tasks is more like a video game console that can
store 600 different games, than it's like a game you can play 600
different ways,' said The Next Web contributor Tristan Greene.
'It's not a general
AI, it's a bunch of pre-trained, narrow models bundled neatly.'
Gato has been built
to achieve a variety of hundreds of tasks, but this ability may
compromise the quality of each task, according to other
De Freitas tweeted:
all about scale now!
The Game is Over!
It's about making these models
bigger, safer, compute efficient, faster...'
In another opinion
ZDNet columnist Tiernan Ray wrote that the agent,
not so great on several tasks'.
'On the one hand,
the program is able to do better than a dedicated machine learning
program at controlling a robotic Sawyer arm that stacks blocks,' Ray
'On the other hand,
it produces captions for images that in many cases are quite poor.
'Its ability at
standard chat dialogue with a human interlocutor is similarly
mediocre, sometimes eliciting contradictory and nonsensical
For example, when a
chatbot, Gato initially mistakenly said that Marseille is the
capital of France.
Also, a caption
created by Gato to accompany a photo read,
'man holding up a banana
to take a picture of it', even though the man wasn't holding bread.
DeepMind details Gato
in a new research paper, entitled 'A Generalist Agent,' that's been
posted on the
Arxiv preprint server.
authors have said such an agent will show 'significant performance
improvement' when it's scaled-up.
AGI has been
already identified as a future threat that could wipe out humanity
either deliberately or
Pictured a dialogues with
when prompted to be a chatbot.
A critic called Gato's ability
to have a chat with a human 'mediocre'
Earlier this week,
DeepMind revealed Gato,
a program that can chat,
stack blocks with a real robot arm and even play
1980s home video game console Atari.
Depicted here are some of the
that Gato has been tested
on in a DeepMind promo
Dr Stuart Armstrong
at Oxford University's Future of Humanity Institute previously said AGI will eventually make humans redundant and wipe us out.
machines will work at speeds inconceivable to the human brain and
will skip communicating with humans to take control of the economy
and financial markets, transport, healthcare and more...
Dr Armstrong said a
simple instruction to an AGI to 'prevent human suffering' could be
interpreted by a super computer as 'kill all humans', due to human
language being easily misinterpreted.
Before his death,
Stephen Hawking told the
development of full artificial intelligence could spell the end
of the human race.'
During his lifetime,
the famous British astrophysicist
Professor Stephen Hawking (pictured)
said AI 'could spell the end of the human race'
In a 2016 paper,
DeepMind researchers acknowledged the need for a 'big red button'
to prevent a machine from completing,
'a harmful sequence of
DeepMind, which was
founded in London in 2010 before being acquired by Google in 2014,
is known for creating an AI program that
beat a human professional Lee Sedol, the world
champion, in a five-game match in 2016.
In 2020, the firm
announced it had solved a 50-year-old problem in biology, known as
the 'protein folding problem' - knowing how a protein's amino acid
sequence dictates its 3D structure.
claimed to have solved the problem with 92 per cent accuracy by
training a neural network with 170,000 known protein sequences and
their different structures.
The firm is perhaps
best known for its AlphaGo AI program
that beat a human professional Go player Lee Sedol ,
the world champion, in a five-game match.
Pictured, Go world champion Lee Sedol of South Korea
seen ahead of the first game the
Google DeepMind Challenge Match
against Google's AlphaGo programme
in March 2016
WHAT IS GOOGLE'S DEEPMIND AI PROJECT?
DeepMind was founded in London in 2010 and was acquired by
Google in 2014.
It now has additional research centers in Edmonton and Montreal,
Canada, and a DeepMind Applied team in Mountain View,
DeepMind is on a mission to push the boundaries of AI,
developing programs that can learn to solve any complex problem
without needing to be taught how.
If successful, the firm believes this will be one of the most
important and widely beneficial scientific advances ever made.
The company has hit the headlines for a number of its creations,
including software it created a that taught itself how to play
and win at 49 completely different Atari titles, with just raw
pixels as input.
In a world first, its
AlphaGo program took on the world's best
player at G, one of the most complex and intuitive games ever
devised, with more positions than there are atoms in the
universe - and won.