Tag Archives: Marc Benioff

The rockstar wannabe

There is a setting we at times ignore. When so called ‘important’ people hide behind movie settings like Sam Altman is when he calls for ‘Code Red’ (at https://www.theguardian.com/technology/2025/dec/02/sam-altman-issues-code-red-at-openai-as-chatgpt-contends-with-rivals) I tend to get frisky and a little stir crazy, but as we see the Guardian, we are given “According to a report by tech news site the Information, the chief executive of the San Francisco-based startup told staff in an internal memo: “We are at a critical time for ChatGPT.”

OpenAI has been rattled by the success of Google’s latest AI model, Gemini 3, and is devoting more internal resources to improving ChatGPT. Last month, Altman told employees that the launch of Gemini 3, which has outperformed rivals on various benchmarks, could create “temporary economic headwinds” for the company. He added: “I expect the vibes out there to be rough for a bit.”” So after all the presentations and the posturing by OpenAI’s CEO Sam Altman, we are now confronted that the CEO of Google, Sundar Pichai smirking and devouring a Beef Vindaloo with naan bread casually passed Sam Altman by and overtook his setting of ChatGPT with Gemini 3. 

We are given “Marc Benioff, the chief executive of the $220bn (£166bn) software group Salesforce, wrote last month that he had switched allegiance to Gemini 3 and was “not going back” after trying Google’s latest AI release. “I’ve used ChatGPT every day for 3 years. Just spent 2 hours on Gemini 3. I’m not going back. The leap is insane – reasoning, speed, images, video … everything is sharper and faster. It feels like the world just changed, again,” he wrote on X.” And if a BI guy like Marc Benioff makes that jump, a lot of others will do too and that is what is truly frightening to Microsoft who owns a little below 30% of all this, it is nice to have a DML solution that has a population of zero, OK, not zero but ridiculously small because as ever (and not surprising) Google is showing his brilliance and overtook the wannabe.

So whilst Sam Altman decided that he was the next Elon Musk we see (at https://gizmodo.com/sam-altman-wants-his-own-rocket-company-2000695680) that ‘Sam Altman Wants His Own Rocket Company’ and we see here “Altman was reportedly considering investing billions into Stoke Space, a Seattle-based startup that’s developing a reusable rocket, to gain a controlling stake in the company, according to The Wall Street Journal. The talks between Altman and Stoke took place over the summer and picked up in the fall. Although no deal has been made yet, Altman intended on either buying or partnering with a rocket company so that he would be able to deploy AI data centers to space.” So whilst Sammy the Oldman, sorry Sam Altman was turning his focus towards space Sundar Pichai surpassed him in the DML field because Sundar, beside his need for Beef Vindaloo was seemingly focussed on the Data matters of Google, allegedly not with his head in space.

And now we see (at https://futurism.com/artificial-intelligence/sam-altman-code-red) that ‘Sam Altman Is Suddenly Terrified’ and now we are given “The all-out brawl that followed in the subsequent years, with AI companies trying to outdo each other with their own offerings as investors threw tens of billions of dollars at the tech, has shifted the dynamics considerably.

And now, the tables have officially turned: OpenAI CEO Sam Altman has declared his own “code red” in a memo to employees this week, as the Wall Street Journal reports, urging staffers to improve the quality of the company’s blockbuster chatbot, even at the cost of delaying other projects.” So as I see it, Sam Altman was ready to be the next rockstar of Microsoft surpassing all others, but Google (say Sundar Pichai) had been sitting on a throne for the better part of two decades, they had relented the Console war (their Google Stadia) towards Amazon with the Amazon Luna. And that might have been a sore loss. So when another ‘upstart’ comes with a great idea, Google recounts and Gemini was the result, or that is at least how I see it. And by the time version three was ready, Gemini was back in the lead or so they say.

So now Sam Altman is in a bind, he needs to evolve ChatGPT and that might have been be in what some call a pickle, so whilst Sam Altman was looking at the sky, Google took the time to overtake Sam Altman with Gemini 3. And now the storm has reached the shores of the financial industry. Now Microsoft is in a pickle, because the OpenAI is now due to the investment marked the start of a partnership between the cloud computing firm and the AI research company that has since grown to more than US$13bn in total commitments. Microsoft and OpenAI are bound to ChatGPT to the nihilistic setting of these firms losing 13 billion in value, so when that happens, what more will unfold? I am not stating that this will burst the AI bubble, but as I see it Sam Altman will see his halo decrease looking a lot like a zero, and Microsoft sees the tally of failures increase to two, first builder.ai, now we see that Microsoft is surpassed again by Google, which is not a great surprise to me. 

And as Futurism gives us “Google, though, has a major financial advantage by already being profitable. It can afford to spend aggressively on data centers, at least for the time being. That’s besides Google Search having been the de facto search engine on the internet for decades, giving it access to a vast number of existing users who could be swayed by its AI offerings.

Altman claimed in the memo that the company has an ace up its sleeve in the form of an even more powerful reasoning model that’s set to be released as early as next week, according to the WSJ, likely a direct response to Google’s Gemini 3.” So is this a simple setting of a little time gap, or is OpenAI now in more trouble than anyone think it is? I actually do not know, but there is a setting that I personally like. I was always Google minded. I was struck in my soul when they dropped the Google Stadia as I had a plan to give it 50,000,000 subscriptions in stage one and rally add to that beyond that, knocking Microsoft of its illusionary perch. But alas, it was not to be and Amazon had the inside track from that point inwards. And I personally feel that the stage of “to be released as early as next week” is likely want-to-be-real presentation, Sam Altman is trying to get any moment he can get and that is fine, but as I see it, it might be timing and people like Sam Altman will try to get any way to keep their cushy setting. I am not judging, but the stage that Gemini 3 is surpassed is likely, will it be? I doubt it, using the words from Marc Benioff stating “not going back” and that is a powerful setting, one that creeps fear into the hearts of Sam Altman and Satya Nadella as I personally see it.

Have a great day, my weekend has begun and Vancouver will join us in 15 hours.

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Poised to deliver critique

That is my stance at present. It might be a wrong position to have, but it comes from a setting of several events that come together at this focal point. We all have it, we are all destined to a stage of negativity thought speculation or presumption. It is within all of us and my article 20 hours ago on Microsoft woke something up within me. So I will take you on a slightly bumpy ride.

The first step is seen through the BBC (at https://www.bbc.com/worklife/article/20240905-microsoft-ai-interview-bbc-executive-lounge) where we get ‘Microsoft is turning to AI to make its workplace more inclusive’ and we are given “It added an AI powered chatbot into its Bing search engine, which placed it among the first legacy tech companies to fold AI into its flagship products, but almost as soon as people started using it, things went sideways.” With the added “Soon, users began sharing screenshots that appeared to show the tool using racial slurs and announcing plans for world domination. Microsoft quickly announced a fix, limiting the AI’s responses and capabilities.” Here we see the collective thoughts an presumptions I had all along. AI does not (yet) exist. How do you live with “Microsoft quickly announced a fix”? We can speculate whether the data was warped, it was not defined correctly. Or it is a more simple setting of programmer error. And when an AI is that incorrect does it have any reliability? Consider the old data view we had in the early 90’s “Garbage In, Garbage Out”. Then. We are offered “Microsoft says AI can be a tool to promote equity and representation – with the right safeguards. One solution it’s putting forward to help address the issue of bias in AI is increasing diversity and inclusion of the teams building the technology itself”, as such consider this “promote equity and representation – with the right safeguards” Is that the use of AI? Or is it the option of deeper machine learning using an LLM model? An AI with safeguards? Promote equity and representation? If the data is there, it might find reliable triggers if it knows where or what to look for. But the model needs to be taught and that is where data verification comes in, verified data leads to a validated model. As such to promote equity and presentation the dat needs to understand the two settings. Now we get the harder part “The term “equity” refers to fairness and justice and is distinguished from equality: Whereas equality means providing the same to all, equity means recognising that we do not all start from the same place and must acknowledge and make adjustments to imbalances.” Now see the term equity being used in all kinds of places and in real estate it means something different. Now what are the chances people mix these two up? How can you validate data when the verification is bungled? It is the simple singular vision that Microsoft people seem to forget. It is mostly about the deadline and that is where verification stuffs up. 

Satya Nadella is about technology that understands us and here we get the first problem. When we consider that “specifically large-language models such as ChatGPT – to be empathic, relevant and accurate, McIntyre says, they needs to be trained by a more diverse group of developers, engineers and researchers.” As I see it, without verification you have no validation and you merely get a bucket of data where everything is collected and whatever the result of it becomes an automated mess, hence my objection to it. So as we are given “Microsoft believes that AI can support diversity and inclusion (D&I) if these ideals are built into AI models in the first place”, we need to understand that the data doesn’t support it yet and to do this all data needs to be recollected and properly verified before we can even consider validating it. 

Then we get article 2 which I talked about a month ago the Wired article (at https://www.wired.com/story/microsoft-copilot-phishing-data-extraction/) we see the use of deeper machine learning where we are given ‘Microsoft’s AI Can Be Turned Into an Automated Phishing Machine’, yes a real brain bungle. Microsoft has a tool and criminals use it to get through cloud accounts. How is that helping anyone? The fact that Microsoft did not see this kink in their trains of thought and we are given “Michael Bargury is demonstrating five proof-of-concept ways that Copilot, which runs on its Microsoft 365 apps, such as Word, can be manipulated by malicious attackers” a simple approach of stopping the system from collecting and adhering to criminal minds. Whilst Windows Central gives us ‘A former security architect demonstrates 15 different ways to break Copilot: “Microsoft is trying, but if we are honest here, we don’t know how to build secure AI applications”’ beside the horror statement “Microsoft is trying” we get the rather annoying setting of “we don’t know how to build secure AI applications”. And this isn’t some student. Michael Bargury is an industry expert in cybersecurity seems to be focused on cloud security. So what ‘expertise’ does Microsoft have to offer? People who were there 3 weeks ago were shown 15 ways to break copilot and it is all over their 365 applications. At this stage Microsoft wants to push out broken if not an unstable environment where your data resides. Is there a larger need to immediately switch to AWS? 

Then we get a two parter. In the first part we see (at https://www.crn.com.au/news/salesforces-benioff-says-microsoft-ai-has-disappointed-so-many-customers-611296) CRN giving us the view of Marc Benioff from Salesforce giving us ‘Microsoft AI ‘has disappointed so many customers’’ and that is not all. We are given ““Last quarter alone, we saw a customer increase of over 60 per cent, and daily users have more than doubled – a clear indicator of Copilot’s value in the market,” Spataro said.” Words from Jared Spataro, Microsoft’s corporate vice president. All about sales and revenue. So where is the security at? Where are the fixes at? So we are then given ““When I talk to chief information officers directly and if you look at recent third-party data, organisations are betting on Microsoft for their AI transformation.” Microsoft has more than 400,000 partners worldwide, according to the vendor.” And here we have a new part. When you need to appease 400,000 partners things go wrong, they always do. How is anyones guess but whilst Microsoft is all focussed on the letter of the law and their revenue it is my speculated view that corners are cut on verification and validation (a little less on the second factor). And the second part in this comes from CX Today (at https://www.cxtoday.com/speech-analytics/microsoft-fires-back-rubbishes-benioffs-copilot-criticism/) where we are given ‘Microsoft Fires Back, Rubbishes Benioff’s Copilot Criticism’ with the text “Jared Spataro, Microsoft’s Corporate Vice President for AI at Work, rebutted the Salesforce CEO’s comments, claiming that the company had been receiving favourable feedback from its Copilot customers.” At this point I want to add the thought “How was that data filtered?” You see the article also gives us “While Benioff can hardly be viewed as an objective voice, Inc. Magazine recently gave the solution a D – rating, claiming that it is “not generating significant revenue” for its customers – suggesting that the CEO may have a point” as well as “despite Microsoft’s protestations, there have been rumblings of dissatisfaction from Copilot users” when the dust settles, I wonder how Microsoft will fare. You see I state that AI does not (yet) exist. The truth is that generative AI can have a place. And when AI is here, when it is actually here not many can use it. The hardware is too expensive and the systems will need close to months of testing. These new systems that is a lot, it would take years for simple binary systems to catch up. As such these LLM deeper machine learning systems will have a place, but I have seen tech companies fire up sales people and get the cream of it, but the customers will need a new set of spectacles to see the real deal. The premise that I see is that these people merely look at the groups they want, but it tends to be not so filtered and as such garbage comes into these systems. And that is where we end up with unverified and unvalidated data points. And to give you an artistic view consider the following when we use a one point perspective that is set to “a drawing method that shows how things appear to get smaller as they get further away, converging towards a single “vanishing point” on the horizon line” So that drawing might have 250,000 points. Now consider that data is unvalidated. That system now gets 5,000 extra floating points. What happens when these points invade the model? What is left of your art work? Now consider that data sets like this have 15,000,000 data points and every data point has 1,000,000 parameters. See the mess you end up with? Now go look into any system and see how Microsoft verifies their data. I could not find any white papers on this. A simple customer care point of view, I have had that for decades and Jared Spataro as I see it seemingly does not have that. He did not grace his speech with the essential need of data verification before validation. That is a simple point of view and it is my view that Microsoft will come up short again and again. So as I (simplistically) see it. Is by any chance, Jared Spataro anything more than a user missing Microsoft value at present?

Have a great day.

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Discrimination Legislation of America

This is not new and I have talked about it before (some time ago). This all started with a Tweet, not the most academic source, but it gave me somewhere to start.

Then I went out and looked for something more reliable and Forbes handed me (at https://www.forbes.com/sites/alangassman/2023/04/07/bidens-war-on-billionaires/) a story from April. 

The setting given is ‘Biden’s War On Billionaires’ (at https://www.forbes.com/sites/alangassman/2023/04/07/bidens-war-on-billionaires/) it is there we see “All American earners are subject to federal income taxes, but not everyone is subject to the same tax rate. While middle-class Americans pay, on average, roughly 14% in federal taxes annually, the wealthiest American families frequently use loopholes to avoid paying these tax rates.” This is one point of you and it is not an invalid one. Yet, in black letter law the US has tax laws. The law is what nations rely on and I agree it is not a fair one, but guess what. This is the fault of the US Congress and the US Senate. I have been talking about fair taxation for over 10 years. But the law is the law and there is an additional setting, the reason why people focus on Jeff Bezos, this is merely a first step. You see, that 20% will do nothing, America is in too deep, it is a sinking ship and the only thing these political people want to do is step out, so they can say not was not on their watch. It is too late for that. You see when that first law is passed, they might get a chunk of Bezos, but they will also get a chunk of Marc Zuckerberg, Elon Musk, Marc Benioff, Larry Ellison and that list goes on. My issue is that this is discrimination, Ageism (age discrimination), economic discrimination is also discrimination. So they are going after the real innovators, real inventors and what America wants is not their money, it is their IP, or at least part of it and co-controlling it. You really want all these systems to be co-owned by the USA? Whatever freedom you thought you had would be gone. The US has been playing stupid since the Clinton Administration, it was the last time that the US had green numbers, since then the allotted a debt surpassing $31,000,000,000,000 dollars. The US is broke and they are now in it to delay for whatever time they can. The USA has become a sinking ship, they are patching holes by cutting pieces out of the same leaking hull, it never ends well. I have pleaded for tax law overhauls for well over a decade. I noticed the slippery slope close to 25 years ago and it impacts the EU and Japan as well. China is growing, China is becoming the next power player in its lonesome position. BRICS is becoming an inner circle with China in the lead position, the moment it sheds Russia, their geese will be count as well. BRICS went from the elite of 5, to a group with 40 nations interested, the lead of the US is gone. No one follows the broke person who can no longer feed itself and with the the Kingdom of Saudi Arabia and United Arab Emirates added to the BRICS group the US has very little left, so now they are setting the stage to go after the billionaires and whatever more they can get. Yet in all this the numbers of what Apple (Amazon, Facebook, Google and Microsoft too) paid in taxation. That would have ben the fair setting, but no one is really digging into this, are they? Fair taxation starts with the corporations that was the first step and that has been overdue for decades, the loopholes had to be dealt with and that never was, that is the real story. Jeff Bezos et al used the legal options like tax lawyers to avoid paying more taxation than was required. Tax avoidance means “the use of legal methods to minimise the amount of income tax owed by an individual or a business”, which is perfectly legal, tax evasion is not legally stated and a crime. This is the stage that brings in the players like PwC, they are one of the leading experts in tax avoidance, this is why a tax overhaul had been essential for about 25 years and now it is too late. The us has its opponents knocking on their gates (BRICS and their members). So we get another populist call for taxing the rich, but it is the tax system and IRS who needed to clean their houses, they never did. I am no friend of Jeff Bezos, I do not think I ever was but that man took an online bookshop and turned it into something huge, then he went against the biggest tech company of all and created an equal if not a better version with his Amazon Luna (against the Google Stadia) which made Google leave the field (leaving billions on the floor), it almost destroyed Microsoft with its Azure through Amazon AWS. Two clear wins by (an online) bookshop. That is what Jeff Bezos did. You have to respect that and the others made their own innovative futures. Now the US wants to go after these innovator? So what happens to the US when these places resettle in BRICS territory? Good luck with that idea. So consider the Discrimination Legislation of America, the DLA, which by pure coincidence (LOL) also means Disability Living Allowance. The pay setting that most Americans are about to get towards to. Consider that the DLA ranges from around $1,000 – $5,000 depending on the member’s pay grade and dependency status. You can normally only receive DLA once each fiscal year. So a maximum of $5000 a year to make ends meet. Where in America can you live of that? I am not certain there is any place that will make America liveable and when the larger corporations leave that will be close to all that is left, until the money is gone. That is the future and I tried to warn you all, not to bite the hand that was feeding the US (Saudi Arabia) and when the tech players leave billions on the floor, why is that? I will let you decide.

Weekend is entering the last hours of the day, it is at the end of Sunday in the East (New Zealand) and at its start in Western Canada, enjoy.

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From Location to Innovation (loss)

It is a real estate dream, to talk about the location and therefor get a better price; we are all about getting a nice home, yet we look at places where we know it will sell for the 100%-200% of the price we paid for it, preferably within 5 years. Most of us looking for something oversized have at some point seen 924 Bel Air Road, Los Angeles, California. It is so over the top, so expensive that most billionaires might not even consider it. No matter how much of a technological, arts and lifestyle monument it is, complete with helipad. A house like that makes you a target of some sorts. There will always be envy, there will always be the next challenge and there will always be the next addition. To live in a house that has it all is for most you desire is unsettling. Weirdly enough it is within us, when we see this and we think ‘this is as good as it will ever get’, when we have that thought before we are 40 it becomes the limitation on us, it boggles our need of creativity. Now, for the most we need not worry, 99.99% of the population will never get near to 50% of that marker, but it is there, our minds creates this. So when a few articles passed my way, they started to add up and weirdly enough it is an opinion piece by John Naughton on June 16th that started it all. With ‘How Silicon Valley’s whiz-kids finally ran out of friends‘ (at https://www.theguardian.com/commentisfree/2019/jun/16/how-silicon-valley-whiz-kids-finally-ran-out-of-friends) it begins.

With: “Once upon a time, Silicon Valley was the jewel in the American crown, a magnet for high IQ – and predominately male – talent from all over the world. Palo Alto was the centre of what its more delusional inhabitants regarded as the Florence of Renaissance 2.0“, I was never there, but I was linked to some degree and I say early on how greed took over, how opportunity seekers would resort to Machiavelli and other means to get what they desire and they never cared how they got there, it was their ‘political game’. Then we see a truth as the quote “the commentator Alexis Madrigal identifies no fewer than 15 different groups preparing ambushes. They include angry conservatives and progressive politicians, disillusioned tech luminaries, competition lawyers, privacy advocates, European regulators, mainstream media, scholarly critics, other corporations (telecoms firms, for example, plus Oracle and other business-software companies, for example), consumer-protection organisations and, last but not least, Chinese internet companies. With enemies like these, the US tech companies are suddenly discovering that they really need some friends.” the reason is actually simple. these US tech companies were heading in a direction of maximisation through iteration, as the need for true innovation was lost (not that innovation that places like Apple claim to have), others caught on and the drive that Silicon valley once had was no longer there, it was stepwise progression whilst the marathon runners like Taiwan, Korea, Japan and China caught up. Microsoft wasted its console world through mere stupidity and a spreadsheet (and being dumb and short sighted). That is why none of them are allowed near my IP (with the optional exception of Google). As innovation becomes iteration the margins went down and it brought regulators, tax haven needs and other players like competition and IP attorneys into all of it (as fore mentioned) and suddenly the grape season was out, the harvest had diminished and what in whiskey terms is called ‘the angel’s share’ grew leaving little to the others. I believe that the writer nails it with: “And we are beginning to realise that the immense power that the valley’s uber-geeks have acquired is what Stanley Baldwin memorably nailed as “power without responsibility – the prerogative of the harlot throughout the ages”” but there a mistake is made, there are two kinds in that valley, the dreamers and the combined needs of the operators and facilitators, that second group is more important to watch mainly because it stopped the first group. the second group thought that by putting their stallion in a paddock, fenced in and limited to a smaller part it would be more effective, and having 5 fields will lead to 500% of the goal, but that was stupidity speaking. Wild horses, real stallions need to race, the strongest takes the lead and together as they burn the ground under their hooves they become more agile, stronger players and their race goes towards the dream that they had no envisioned yet. that is how the iPad came, that is how Smartphone came that is how Nano technology comes and through iteration the next tier is not merely slower, the dreamers forgot to dream, they needed to produce in larger amounts with less resources, less space and that is how they got overtaken by said Korea, Japan and China. The results are in front of us and now that India is catching up in more than one way the dream of more fortune becomes the nightmare of losing it all. So when the final wisdom comes: “And once they went public they did what corporations do: maximise shareholder value, come what may, avoid regulation and pay as little tax as possible. Just like tobacco companies and arms manufacturers“, there we have it, the larger system was ignore thought compartmentalisation and no one realised just how stupid they were. that is one of two more reasons why I do not trust my IP with 98% of the tech firms, they will not learn because the inner parts are all about profit and maximisation, and through that weakness billions in revenue are lost, because of the fake dream that iteration brings the same in twice the time but at only a part of the resources, the biggest flaw is setting a profit stage to a spreadsheet, innovation can never be gained through predictive analytics, because predictive analytics gives the continuation of a product, not the consequence of a new technology beheld by a dreamer, there will never be data to do that and that is how it was all lost.

Round two

And that is how we got to round two last Saturday as Ruha Benjamin (associate professor at Princeton University) and even as she starts with ‘We definitely can’t wait for Silicon Valley to become more diverse‘ (at https://www.theguardian.com/technology/2019/jun/29/ruha-benjamin-we-cant-wait-silicon-valley-become-more-diverse-prejudice-algorithms-data-new-jim-code), she gives a truth that I partially oppose (not the diversity), as it was always about the dreamers. Larry Ellison, Bill Gates, Steve Jobs, Steve Wozniak, Larry Page, Sergey Brin, and Mark Zuckerberg they were all dreamers to some degree. That world needs dreamers and facilitators that push dreams into the reality of innovation. The more diverse that world is, the more diverse the dream becomes and the greater the achievement could be. It is true innovation in its purest forms and whilst the CEO’s took the words of CFO’s and marketeers that reality was forgotten. Marketeers hope and drive hypes, they cannot dream on something that they cannot fathom, it is the most destructive vicious circle imaginable. So when I see: “She founded the Just Data Lab, which aims to bring together activists, technologists and artists to reassess how data can be used for justice. Her latest book, Race After Technology, looks at how the design of technology can be discriminatory” I see both hope and failure. the hope is that as diversity of ‘activists, technologists and artists‘ unites, we see new paths, the artist sees a path and draws it, the technologist can devise it the activist can oppose the path and scream for a meadow to walk on, that is how innovation came, quote literally, the Dutch a nation the size of New Jersey gave us: ‘Dutch Solar Bike Path SolaRoad Successful & Expanding‘ (which gave me another idea with a more metropolitan and rural opportunity approach), innovated roads by catching sunshine to power the evening lights, it is true innovation in action and an optional path to reduce the carbon footprint, whilst getting the surroundings powered. When we see first results: “with 3000 kWh generated, the solar panels were outperforming the 70 kWh annual per square meter expected threshold set in the lab. In its first year, the SolaRoad produced 9,800 kWh, roughly equivalent to the annual average consumption of three Dutch households“, we see a path towards innovation. There is no doubt that data can be used for justice, but in which direction? Yet I too adhere to idea’s, I am a different dreamer and even with a law and a technology degree (including a master) I have not dreamt in that direction, perhaps this is for another dreamer, the need to recognise it is essential, to find the right dreamer.

And this is not an attack on Ruha in any way, she gives a clear premise with “Many of these automated systems are trying to identify and predict risk. So we have to look at how risk was assessed historically – whether a bank would extend a loan to someone, or if a judge would give someone a certain sentence. The decisions of the past are the input for how we teach software to make those decisions in the future. If we live in a society where police profile black and Latino people that affects the police data on who is likely to be a criminal. So you’ll have these communities overrepresented in the data sets, which are then used to train algorithms to look for future crimes, or predict who’s seen to be higher risk and lower risk“, you see this is observation towards risk, a path we have seen clearly in the last two decades, yet the opposite is also there, but how to set its dimensionality? It becomes big data in observation towards opportunity, a path never walked because opportunity is one identified once it is walked, a system cannot predict the dream if it cannot comprehend the dream, or the dreamer. It is designing a computer that will design computers. It is the ability to design Skynet (I just had to go there), with the optional danger of our own end (see the collected works of Linda Hamilton and Arnold Schwarzenegger). It is always most likely to fail because Ruha forgot to include a philosopher to her team. The computer fails because we forgot about philosophia, the love of wisdom, and as we forgot about that we merely ended with really clever calculators and calculators are never about predicting the future, it is about limiting cost and maximising profit in any endeavour (more money, more reserves, more energy, more resources) and these margins never lead to wisdom or innovation because the dreamer was missing and dreamers do not constitute a positive influx in that engine, sales and marketing did away with that, they always will.

To illustrate this let me give you a personal side. In 1997 I send a mail to a sales executive. I had recently by accident found the Warner Brothers Angelfire partnership site. They had united and every person could freely sign up to get a Buffy Address, a Babylon 5 address, a Charmed address and so on. It was static, you got access to fan art, you got 20Mb web space and an email address. In those days (pre Gmail) it was actually really cool, but there was no way to reach out, So I suggested that we have something similar and allow the people to reach each other and we would be in the middle being able to market to all of them. The sales executive laughed in my face, stating that it would never have any business premise, it was a useless use of resources, it was not in ‘the mission statement‘. I dropped it knowing it was a lost opportunity. Now we have Facebook. My idea was nowhere near it, it was not advanced it was merely messaging and marketing, the direct impact of no vision, 4 years before Facebook shown in two colours, Black and White, I still have the email somewhere, 4 years before the launch of Social media, I tried to introduce a path towards it. I have no doubt that Facebook would have overtaken me, I did not dream that advanced, but at least I had the dream and it is also for that reason that my IP will never go into hands like the limited ones I had to work with.

A limiting amount of opposition (from to her) is seen in “Part of that has been spurred on by Facebook and Cambridge Analytica and the US election. More and more people are realising that this idea of big tech coming to save us, it’s really been dismantled. Part of it is shifting from a kind of paranoia around technology to what my activist colleagues like to say: from paranoia to power“, I believe that data is data, it is not wisdom and I also believe that data can aid in finding solutions, yet to do that you must drive a solution, you must devise a way where data is the inspirer towards innovation and software cannot directly lead towards it, you can dashboard it to see where the needs are, you can report on it where the shortages are and you can make a slice and dice app to let people get a scope of information to feed the dream, but you cannot directly feed the dreamer as you cannot predict in what direction his dream goes. You can merely hope to bring the spark that makes the dreamer dream in his or her direction and hope it leads to innovation and at that part the CEO, COO, CFO and CTO will have come crying half a dozen times to stop the squandering of resources. She does address my view correctly when she gives us: “More diversity in Silicon Valley is important, but won’t automatically address algorithmic bias. Unless all those diverse people are empowered to challenge discriminatory design processes, diversity is a ruse” and she is correct and perhaps she also answers her own question.

In all this we forgot one group, we forgot about the children, we need to be able to look at data like a child and learn to randomly look at answers to questions that we aren’t even asking, it is the initial option of a spark (not a given) that leads to the insight we get with: ‘What If?‘, the need to embrace the obvious, not ignoring it, all this in data is required to get insights leading to wisdom, the question becomes how can this be addressed and form my personal point of view is to teach people about data as early as possible, not in a light of statistics, but in a light to something I got in the early 70’s, looking at the question ‘What is the chance something happens?‘, a simple ‘kans tol‘ (Chance spinner) which would give the younger watcher an indication on chance and statistics. When we add that to the equation what happens when creativity takes over and they start looking at what they can find, or even better, what they cannot find. The younger mind is more eager to find, and equally find missing. It is that part that we are missing out of and it matters, because it is the first step in learning the question that we are not phrasing, optionally overlooking the obvious.

Part Three (Final)

Finally we get to part three with ‘Why San Francisco techies hate the city they transformed‘ (at https://www.theguardian.com/cities/2019/jul/01/san-francisco-big-tech-workers-industry). And we see part of the drive with “Even Marc Benioff, CEO of Salesforce and a San Francisco native who has long urged comity between the techies and the city, has taken to calling his hometown a “train wreck”“, we can only conclude that now that he bought Tableau it will get worse for him. Even as it is not about him, but the failing infrastructure with “one-bedroom apartment reached an all-time high of $3,700 a month“, which is more than twice the price for a real decent two bedroom apartment in Chicago, we see the impact, but not what is around all of them, yet it is not new, London has similar issues. As the people who can afford to live somewhere, we see that greed takes over turning the city into a carcass because it lacks a sustainable infrastructure. As people cannot afford to live near where they work, infrastructure becomes an increasing problem and as cities cater to large investors, they forgot that affordable living is essential; they merely pushed that issue forward and forward again and again. We see he escalation even further when we consider the quote: “San Francisco has become more of a satellite campus, with South Bay stalwarts including Apple, Facebook, Google and LinkedIn competing for office space in the city proper. They’ve joined the San Francisco-native companies Twitter, Uber, and Airbnb in the cramped confines of a city of just 49 square miles, surrounded by water on three sides” instead of diversifying and clustering over a much larger area, they all moved together, and as such thousands of employees need to live where they work and now prices are through the roof, it also impacts the bottom line, so as others decided to keep their stomping grounds in Columbus Ohio and as we see those in Madison Wisconsin, we see that the bottom line changes, yet they too push for space in San Francisco, so what was once the United States of America is not the Marketing needs of California. the sad part is that these people are all separated and isolated form one another through intellectual property, and as I am happy to make fun of Zendesk and their need to “file oppositions at the United States Patent and Trademark Office to 49 trademarks including the word “zen”“, all whilst we know that “Zen is a school of Mahayana Buddhism” that is reported and registered as something that is 1200 years old, so to see that there are at present well over 724 active trademarks which include the word “Zen” we see the replacement from inner peace to turf wars and it links to all of it, these people all think and associate alike, and as we have seen, it leads to iteration not innovation. And there we see the hoax in the serious setting. As we are introduced to: ““I feel like San Francisco is between Seattle and New York, but rather than the best of both, it’s the worst of both,” said Beth, a 24-year-old product manager who asked not to be identified by her real name. Beth moved to the city directly after graduating from Stanford to work at a major tech company, but recently transferred to Seattle. “Everyone I met was only interested in their jobs, and their jobs weren’t very interesting,” she said of her time in San Francisco. “I get it, you’re a developer for Uber, I’ve met a million of you.”” When you cluster together you create new bias and new limitations that merely stop you from dreaming. When you are in San Francisco, North of SF International Airport, you are now mostly all the same, think the same, work the same and you are all separated on three sides by water, and a failed infrastructure, you have no way to go. There we see the benefit that the two other locations have, space created opportunity and the chance to dream, a path to innovation, and I fear that things will turn from bad to worse for San Francisco. As greed pushed out the infrastructure, it removed diversity, it is not merely the diversity that pushes us to lows, the fact that some ideas came from watching someone do something else, the ability to see their interaction with the environment that allowed for new thoughts and that cubicles took that away, even if it is not called open space, it merely made the entire open space a cubicle. So whilst these people ‘enjoy’ their 55Km bus ride to Mountain view, we see that the same distance gets us to Santa Cruz and Monterey Bay, all with opportunity and other considerations and it is the ‘other considerations’ that are the treasure trove in this, because it changes the mindset of people, considerations lead to opportunity, opportunity is the foundation of innovation, it always has been, whether the innovation is accepted or rejected does not matter, it is the one that does go through that becomes the innovation that fills a corporate coffer, iteration merely lets it go on a little longer. Diversity shows that as others embrace an idea it can truly be improved on and create a new innovation, not a new iteration, but that only happens when the accepting diversity is large enough, and that is when we get the one quote that shows the disaster. With: ““It was really hard to stomach the indifference that I witnessed from folks who’d been living in San Francisco for a while, simply stepping over the slumped bodies of people who lived outside or just cold ignoring people asking for money,” said Jessica Jin, who moved to San Francisco from Austin, Texas, to work for a tech startup, of her first impressions of the city. “I wondered how long it would take me to also become numb to it all.”” we need to see that this is the largest danger. It is not that Jessica Jin moved to SF, it is ‘how long it would take me to also become numb to it all‘, that will be the moment that her dreaming to innovation ends, when we become numb, we merely create a shell to ignore what is around us and that is the first thing to thump innovation into silence, as I see it that has always been the first hurdle to lose innovation and soon thereafter they lose the ability towards iteration as well.

It is the larger issue to a much larger problem that we never properly defined, how did we lose the ability to properly dream a path to innovation, it is what drowns the creative mind and soon thereafter we get exactly what the CEO’s and CFO’s wanted, result driven worker bees, but that is what killed their company, the dream is lost and so is creation of innovation attached to it.

It is about location, location, location, but not in the way you thought it was. It was about the space to truly dream, too bad these hundreds of board members all forgot that one simple lesson, all whilst it was in front of them all along, most of them got into the board of directors using that path in the first place, how quaint!

 

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