George Gilder

Overview:
There are many technology companies, but it is Google’s product of information distribution that has become ubiquitous. Giving Google vast influencing power over the economy, and policies. Providing seemingly free products. Paying for them not with money, but with something far scarcer, time. Directing attention away from the wanted content, with distracting advertisements. Collecting a lot of data on the users which can be used for improvements, but the data is also centralized which attracts thieves. While not providing enough security, for the product is free. Free products that also attract malware.

There is a trend to utilize algorithms, and develop Artificial Intelligence. Seen as superior to the brain. Which makes humans appear to be substandard and useless. But AI cannot think, as AI needs human intelligence to program it. AI needs humans to structure information for AI to learn. Humans provide the goals and targets for AI to obtain an output. Algorithms are logical machines that have deterministic outcomes. But wealth is created from knowledge based on informational discoveries and surprises.

Advertisements, And Consequences Of Free Products:
The internet was meant to remove unwanted advertisements that were disruptive during the television era. The internet was meant to provide only the advertisements that were wanted. But under Google’s guidance, the internet is full of unwanted ads and contains a lot of bots and malware. Rather than empowering the individual, the internet has empowered those with money.

Google followed an unconventional strategy of making its content and information free. Making information part of a commons, available to all. Google wanted to organize the world’s information, and make it available. This would have also displaced existing advertising regime.

Nothing is ever free. Rather than paying for products with money directly, people are paying for products with their attention. Time is the ultimate scarcity. Time is what customers pay with free products. People welcome free when it means no charge, but what is wanted are the ordered content, rather than the content the authority chooses to provide. In economics, money measure scarcity of time.

Advertising is usually value-subtracting. Advertising distracts from watching content. Many products arose to prevent advertising, the source of the free content. What Google did was try to use search results, to have viewers see the advertising that they wanted to see. Transforming advertising into value information. Based on measurement of advertisement effectiveness and quality, advertisers were forced to improve their advertising or remove those that were ineffective. Google itself created an ad-blocker, which would apply to ads condemned by the Coalition for Better Ads. Blocking ads it deemed inappropriate, which might be an illegal act for a search engine. Ad-blocking is detrimental to the unwanted advertisement industry.

Not charging for software services, means avoiding liability for buggy products. Free products avoid liabilities to real customers, such as preventing development of appropriate security. Free products are not stolen, therefore do not develop measures to prevent hacking and theft. Security of information is delegated to the customers.

Artificial Intelligence:
Within the industry of AI, there are claims that machines will be much smarter and have access to more multidimensional data, that individuals would want to delegate their decisions to the machine. Everything becomes seen as an algorithm that can be controlled through machine learning. For the AI industry, the superiority of AI algorithm intelligence is making human intelligence inferior and the humans unemployable. As AI is making homo sapiens obsolete, there are Silicon Valley leaders who favor federally guaranteed annual income to compensate those who are obsolete. Making more and more people who are unemployed forever. AI is incredible technology that can improve human life. The problem is the human mind is seen as a sub-optimal computer, meant to evolve into a silicon based superior machine.

Marxism started with a belief that the industrial revolution solved many problems of production. Although the ideology has become know for revolutionary methods of rectifying workers grievances. Silicon Valley has a neo-Marxism trend of repeating the same error as prior Marxists, that of making human labor and mind obsolete. A world in which the machine supplement human activities is a utopian vision from Silicon Valley. Ironically, the vision is shared by their critics who have a dystopian view. The collaboration between utopian and dystopian views is possible because of Google’s monopoly of information and intelligence.

Computer power has become delegated to centralized propriety clouds, moving more data between distances without degradation. Computers have become cheaper because of this delegation. The “cloud” is an external hard drive for collecting a gargantuan amount of data, containing processors, connected by fiber-optic lines that consume immense amount of electrical power with the outcome of radiating immense amount of heat.

Gödel argued that all logical systems had a variety of paradoxes. Logical systems depended on unproved propositions. Consistency was no assurance that the system was correct. Gödel’s Incompleteness Theorem precipitated the creation of a mathematics of information.

Path to knowledge in a logical machine is deterministic and dictatorial. The machine can potentially gather and process data quickly using a combination of algorithms to produce a single outcome. A centralized processor of all data gathered under a single operator. As private data is oppositional to how Google wants to process all data, then Google’s claims about wanting privacy are inconsistent with what it wants.

Deterministic logic prevents surprises that enable discovery and creation. Technology needs to transcend deterministic mathematic logic to make progress. Deterministic machines are free from surprise, as the answers are implicit in the question. But information is surprise, the discovery of the unexpected. Within information theory, order defines the expected, but there are degrees of freedom in the message that allow for entropy.

Consciousness depends on faith for it acts even without full knowledge and therefore obtains surprises. Machines lack consciousness, lacking surprises. A logical system that is incomplete and needs an oracle. Knowledge of the incompleteness is the human condition, manifested in consciousness.

Wealth, and Knowledge:
Gold was mistaken to be wealth by Midas. Gold is the monetary measure of wealth, but not wealth itself. Wealth is not a thing or random sequence. Wealth is knowledge accrued over time. Knowledge is the source of wealth. Knowledge provides the understanding on how to utilize matter, and improve upon prior knowledge.

Many firms are using algorisms to make a profit. Firms within the financial industry make trades that make no sense because of algorisms, but these trades do create profit. Without understanding the reason for success, then no knowledge is added to improve and provide productive investments.

Knowledge and learning are the mechanisms by which wealth is created within capitalism. Rather than create wealth, wealth is being distributed in a zero-sum game. Knowledge is created with laboriously investigations within companies, but the Securities and Exchange Commission has made inside trading illegal. Which moved trading to algorithmic formulas because a computer cannot be indicted, although no creative investment is made either.

Universities make a fortune by selling a paper that comes at great cost to people. Students obtain massive debts while preventing them from becoming entrepreneurs that would enrich future generations.

Security Measures, And Lack Thereof:
Although there are people making claims about the superiority of the machines over their limited human customers, the breakdown of the security system reduced the worth of the machines. Nations with better security systems are becoming more prominent. Security is a fundamental, basic, and indispensable component of information technology for the services they provide, rather than a benefit from retro-fixes.

Centralization of data informs hackers where the most important data is, putting everyone at risk. Centralization makes information vulnerable to manipulation and theft by those in power. An alternative would be to have power and information distributed in a peer-to-peer system. The author predicts that the centralized and free information that collect customer data are not likely to survive distributed peer-to-peer technology, which has been termed a cryptocosm.

Money:
Gold provided a stable economic foundation that could be used to plan for long term projects without fear of inflation due to counterfeit money or fiat money that erodes future payments. Without the gold standard, money does not have an external frame of reference. Money has become a self-referential logical system that can be manipulated by central banks for their governments.

Bitcoins is like a precious metal which has a predetermined supply. Demand by users changes its value. A recognized but illusive originator of bitcoin is Satoshi. But Satoshi is nowhere to be found. The lack of leadership means that there is no third party that governments or hackers can infiltrate. Without taking control of bitcoin, there is distributed security.

Cryptocurrencies provide for anonymous exchange and security needed for transactions. They also provide proof of record needed to defend against governments and businesses spurious claims.

Additional Information:
Successful firms utilize extensively their era’s abundant resource designated by declining prices, while saving the scarce resource. Data and bandwidth have become the abundant resource, while customer patience is scarce.

Scarce bandwidth means that it will be allocated preferentially, no matter the laws. But if bandwidth is abundant, then neutrality laws are unnecessary. The irony is that a network neutrality campaign deters investment into improving the bandwidth. While Google supports internet neutrality, for government to intervene on Google behave. But Google depends on bandwidth abundance, that are penalized by network neutrality laws.

Applications tend to lock people in them. People provide them with lots of information, but need to petition to move their information to another application.

Caveats?
Some caveats for the book includes that the book is less about Google, and more about how the internet functions. Google provides and controls a major internet function. A company whose actions influence how other functions operate, and the policies that regulate how other companies behave. Showcasing the negative consequences of how the internet operations, and the alternative methods that are taking root.

There is a lot of esoterica in the book. Would help understand the content if the reader already knows the esoterica. Among the ideas, there is a poor transition between topics, and a lack of explanation for some claims. Related content is sporadically placed which makes it difficult to put together into a coherent understanding.

There is a contradiction when discussing security. In part, the author claims that security has been delegated to the customers, making it seem as a negative consequence of the internet companies not providing security. But in another part, blockchains are described as peer-to-peer distributed security as a positive consequence. Decentralized security cannot be both a positive and negative consequence of products.
… (meer)

This was a frustrating book in some ways. On the one hand, there are some excellent ideas and insights in it regarding the role of knowledge in capitalism and market economies in general. On the other hand, the author goes off the rails a couple times (the worst for me was his claim that the second law of thermodynamics is wrong) and apparently couldn't help but air his deplorable social views (for example, his attitude towards women can be summed up as that they should be married and kept safely at home raising the children).

I'd give this four stars if he'd left out the moralizing, cherry-picked science-denialism, and painful romanticizing about entrepreneurs. But, as it stands, it's three at most.… (meer)

I cannot say I recommend this book. People may consider George Gilder to be a great thinker, but he is an awful writer and narrator.

His central thesis is that Google's (and I assume he includes Facebook in this thesis) days of dominance are nearing an end. I am not enough of a "tech guru" to dispute his premise or to accept it. However, I hoped to read a book that was going to take me through the argument in a coherent manner.

His logic is lost in a swirling ocean of anecdotes and jargon.
If his target audience is restricted to people who are experts in this field, then he should not have published the book, intending for a wider audience to read it.

Find a better book. This is my advice.… (meer)

Time, space, matter, energy, knowledge and information.

One of the largest impediments to any good, proper and complete understanding of our universe, of ourselves and of our own position within it, is the current failure to firstly define and understand ‘information’ itself.

Although I’m not prepared to divulge ‘information’s’ correct ontological identity here, I can quite confidently say that it is not ‘digits’ no matter how many of the latter one may have at one’s disposal, nor how cleverly arranged they are, nor how large, powerful, numerous and globally interconnected are any of the machines and devices operating on them.

‘Digits’ are, patently enough, very useful things with which to count and calculate - to add, subtract, multiple and divide. We first used our own anatomical digits - our fingers and toes - for these particular tasks, then we scratched marks on (prison !) walls, next we invented the abacus and although we chew constantly on the idea that our modern day computers and communications devices are ‘real thinking machines’ they are quite demonstrably not, but are, rather, only ‘bean counters’; they are none other than vastly accelerated, massively miniaturised, hugely interconnected, user-friendliarised, electronically-automated ABACUSES.

In ‘Life After Google’ George Gilder makes note of this particular fact - that is, he makes note of the abacusial status of our now many and various computing/communicating machines and devices, concomitantly reminding us that these machines can only count and calculate and otherwise entirely lack the ability to actually ‘think’.

In spite of his recognition of these particular facts, Gilder has not yet figured out exactly what ‘information’ is - as a phenomenon in its own right and not just what any of it says or means - nor has he ascertained the exact nature of any of the directly information-related phenomena such as ‘thought’, ‘mind’, ‘intelligence’, ‘memory’, ‘understanding’, ‘knowledge’, ‘knowing’ and ‘consciousness’.

I can also quite confidently assert that once ‘information’s’ correct identity is recognised and as such factored into our understandings of ourselves and of our universe, it becomes eminently possible to, firstly, identify, define, describe and fully understand all of the directly information-related phenomena such as ‘thought’, ‘mind’, ‘intelligence’, ‘memory’, ‘understanding’, ‘knowledge’, ‘knowing’, ‘sentience’ and ‘consciousness’ (to far less than exhaust the list), and then by building on these particular understandings, it subsequently becomes equally eminently possible to establish the ontological identities of everything else here inside our universe - time, space, matter, energy, entropy, motion, inertia, knowledge and knowing.… (meer)