Mind Matters News and Analysis on Natural and Artificial Intelligence

Eric Holloway

Animal clouds shape

How Business Intelligence Can Break the Data Deadlock

Companies today are awash in information. But which patterns are real? Which are cloud bunnies?

Contrary to the dogma of hypothesis testing, it is possible to do after-the-fact pattern analysis while limiting the probability of false positives.

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A Really Long Time Is Not Forever

No matter how our lives are prolonged, there is a hard stop to our universe

If eternity is what we truly want, then we should not let ourselves become distracted by technolongevity, and instead, seek our true heart's desire, and find out for ourselves if it is a sham or a reality.

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The asian technician using the magnifying glass for repairing the tablet's motherboard in the lab. the concept of computer hardware, mobile phone, electronic, repairing and technology.
The asian technician using the magnifying glass for repairing the tablet's motherboard in the lab. the concept of computer hardware, mobile phone, electronic, repairing and technology.

We Need a Better Test for True AI Intelligence

Better than Turing or Lovelace. The difficulty is that intelligence, like randomness, is mathematically undefinable

The operation of human intelligence must be non-physical because it transcends Turing machines, which in turn transcend every physical mechanism.

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Circuit board. Electronic computer hardware technology. Motherboard digital chip. Tech science EDA background. Integrated communication processor. Information CPU engineering 3D background
Circuit board. Electronic computer hardware technology. Motherboard digital chip. Tech science EDA background. Integrated communication processor. Information CPU engineering 3D render background

The Flawed Logic behind “Thinking” Computers, Part III

No program can discover new mathematical truths outside the limits of its code.

Not only is it valid to ask whether artificial intelligence is impossible but the argument can be pursued on a scientific basis with quantifiable, empirical evidence.

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blue digital binary data on computer screen
blue digital binary data on computer screen. Close-up shallow DOF

The Flawed Logic behind “Thinking” Computers, Part II

There is another way to prove a negative besides exhaustively enumerating the possibilities

I am publishing, in three parts and with his permission, an exchange with Querius, who is looking for answers as to whether computers can someday think like people. In the first part, we discussed why human thinking cannot be indefinitely compressed. Here is the second part: Recapping for myself what I said in Part I and mulling it over: “If all symbol strings do have a shorter representation, then so must their shorter representations. Thus, we’d end up concluding that all symbol strings can be represented by nothing, which is incoherent.” Wait, I’m getting lost. “Therefore, we conclude that only some symbol strings have a compressed representation. As a consequence, compression intelligence is only true if the physical effects of Read More ›

Programming code abstract technology background of software deve

The Flawed Logic behind “Thinking” Computers, Part I

A program that is intelligent must do more than reproduce human behavior

If an algorithm that reproduces human behavior requires more storage space than exists in the universe, it is a practical impossibility that also demonstrates the logical impossibility of artificial intelligence.

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An array of symbols from the National Archives, Hämeenlinna, Finland

Artificial Intelligence Must Be Possible! Really…?

Many arguments for strong artificial intelligence depend on an ideological commitment to explicit, unproven theories about the universe

Not only is it valid to ask whether artificial intelligence is impossible but the argument can be pursued on a scientific basis with quantifiable, empirical evidence.

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3D technology background with code over male head
3D render of a technology background with code over male head

The Brain Exceeds the Most Powerful Computers in Efficiency

Human thinking takes vastly less computational effort to arrive at the same conclusions.
All of the tasks that AI accomplishes require a certain amount of memory, computational power, and time. We have a good enough understanding of the human brain to measure the same quantities used for the same tasks. Thus, we can measure the difference between what minds and machines require to solve the same problem. Read More ›
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Sparkler between two hands

The Creative Spark

An information theory justification for the intrinsic value of human beings
Because creativity is unique to humans and irreducible, all human beings have the ability in principle. The fact that a particular human being’s creativity is not in use or is perhaps unusable at present does not mean that that person does not have the ability. Consequently, all humans have at least latent intrinsic instrumental value. Read More ›
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Fluorescent sign saying

Will artificial intelligence design artificial super-intelligence?

And then turn us all into super-geniuses, as some AI researchers hope? No, and here's why not
Because Moore's law is an exponential law, the numbers multiply rapidly and we could hit the physical limit rather suddenly. Current indications are that Moore’s law’s speed has already slowed or even ceased to be a true description of the IT industry today. Read More ›
toothpicks
Colorful toothpicks or pick-up sticks

How Can We Measure Meaningful Information?

Neither randomness nor order alone creates meaning. So how can we identify communications?
Dropping a handful of toothpicks on the table seems to produce a different sort of pattern than spelling out a word with toothpicks. Surprisingly, this intuitive distinction is harder to make in math and the sciences. Algorithmic specified complexity (ASC) enables us to distinguish them. Read More ›
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Man in a maze

Has Neuroscience Disproved Thinking?

A philosopher argues that Nobel Prize-winning research shows that the theory of mind is just another illusion, useful for survival and success
We've all seen this sort of argument before in many other guises. It is commonly called “reductionism.” The reductionist claims that, because an object can be construed as made up of parts, the object is just the parts. It is like saying that because an article like this one is constructed from letters of the alphabet, the article is only rows of letters. Read More ›
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Human intelligence as a halting oracle

Jonathan Bartlett proposes to model the human mind as a halting oracle.
A common objection to Bartlett’s idea is that humans cannot be halting oracles because we embed any unsolvable math problem as the halting condition for a loop and a human cannot tell us whether the loop will halt or not. This objection misses the fact that there is a range of oracles between plain Turing machines and a complete halting oracle. Read More ›
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Does information theory support design in nature?

William Dembski makes a convincing case, using accepted information theory principles relevant to computer science
Intelligent design theory is sometimes said to lack any practical application. One straightforward application is that, because intelligence can create information and computation cannot, human interaction will improve computational performance. Read More ›
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Artificial intelligence is impossible

Meaningful information vs artificial intelligence
Because the law of independence conservation states that no combination of randomness and determinism can create mutual information, then likewise no Turing machine nor artificial intelligence can create mutual information. Thus, the goal of artificial intelligence researchers to reproduce human intelligence with a computer program is impossible to achieve. Read More ›
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Slaughterbots: How far is too far?

And how will we know if we have crossed a line?
A greater focus should be on restoring the foundations of our nation over building superweapons. And the key foundation is all human beings' right to life. Read More ›
Roboter Arme

Could One Single Machine Invent Everything?

The king’s perpetual innovation machine was all ready to roll but then a skeptic butted in
Computers can never originate, they only regurgitate. Humans, on the other hand, can come up with original ideas, i.e. they write the programs in the first place. So, my proof shows that the human mind cannot be a computer program. Read More ›