Comments by "MeTube - tacticalvote co uk" (@OneAndOnlyMe) on "Richard J Murphy"
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Richard, you've misunderstood what we mean by "analog to digital" for the NHS. It's not just about digitisation of paperwork. Yes, we have computers and databases now, but the process and workflows have largely remained analog because all we've done is digitised the paper forms and records, but not optimized processes and workflows. Additionally, GP practices and hospitals are running on different platforms because no one took an enterprise wide architectural role. So while there are databases etc,. they are not all the same database which necessitates expensive interfaces to be built and maintained.
The whole of the NHS should be on a single platform, in much the same way that Civil Service, parliament and Cabinet Office now are. The NHS should have its own in-house IT function similar to the IT function within government. This NHS IT function should be dedicated to health service technology innovation. The NHS IT function should directly employ IT service operations staff (who could be based anywhere in the world) to cut out the profit margins of third party IT consultancies (CGI, PwC, etc), but all IT service delivery should be governed and run by the in-house NHS IT function. The NHS IT technical architects and IT service owners should all be direct employees of NHS IT.
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And, many of the jobs in the City are support roles, for example, for every trader there will be 10 support roles (mid office, back office, tech, legal, compliance, etc). Those are real jobs with high salaries, paying 40%+ tax. The same can be said for the Civil Service, most jobs are the supporting roles necessary to make the whole function properly.
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Keynes could not say that today, not in the 21st century and the globally connected economies that need to trade 24/7. The demand today is for round the clock trading, so much so that many exchanges and platform operate out of hours trading.
Trading (equities, commodities, futures, derivatives, currency), mergers and acquisitions, asset management, fund management, venture capital (funding new business and innovation), pensions and insurance products, management consulting services, legal services, technology services (infrastructure and software development). Salaries start at around £75k with decent bonuses starting at around 10% of salary. 1 trader requires around 8 support personnel (mid office, back office, technology, legal).
In the 21st century trading equities and commodities, futures and options, is not just for the City boys and girls. It's for anyone who has the knowledge to do so from anywhere in the world.
(Worked in technology, interest rate derivatives, JP Morgan; energy trading, BP; consulting, various banks.)
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Every business has these common functions, HR, IT, Finance, Marketing, Customer Service. In all these functions, the "operations" side can be automated because these are very standardised functions.
HR Ops - 90% of the work can be automated and augmented with AI, needs only 4 to 7 people even for a business with 50,000+ employees.
IT Ops - 90% of the work can be automated, needs only 10 or so people, even for a business with 1,000+ servers and a globe spanning network infrastructure.
Finance Ops - 80% of the work can be automated, I recently did a reduction of a 30 person team down to 6 using automation (not even using AI, just workflow automation).
Marketing Ops - 95% of the work can be automated (or outsourced entirely), needs only a small internal management layer.
Customer Service Ops - 90% of the work can be automated, 9 out of 10 interactions are standardised query/response. Contact centers can be scaled up using virtual digital agents instead of hiring additional human agents.
Where any job has defined processes and procedures, the workflow can be fully automated with humans only needed to handle the exceptions.
This is what we are doing already today and have been for the past decade. The difference now is that the solutions are cheaper and no longer only affordable to large enterprise budgets. If you don't believe me, look at these things:
ServiceNow platform (Customer Service, but also anything an organisation needs to do)
Workday platform (HR and Payroll)
Dynamics 365 platform (Finance and ERP)
SalesForce platform (Marketing and CRM)
Google AI Studio and Microsoft Co-Pilot (End user productivity tooling)
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Richard, could you do a follow up video please to answer the obvious question this begs: So, then why doesn't the government just print £1,000,000,000,000,000,000,000,000,000 and give it to everyone?
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Open sourcing puts the power of LLMs in the hands of everyone. What the DeepSeek team did was more impressive than just a better LLM than OpenAI's LLM. They showed the world that you don't need ultra expensive GPUs to do the model training. America export bans Nvidia's best GPUs. But DeepSeek software engineers used a generation older Nvidia GPU, and wrote custom code in, essentially, the GPU's native machine code, to boost the performance of the older generation GPUs.
The real pay off with DeepSeek is China showing the world its impressive software engineering talent. One of their engineers turned down $10 million from another Chinese tech company (Xiaomi) to work for DeepSeek. They know their worth.
The US tech majors will still win from the open sourcing of LLMs. LLMs in themselves do not add value to anything, they are an academic exercise. It's when LLMs are added to software and hardware products, then value is unlocked. More so, when LLMs are successfully integrated into workflows and processes. And that is where the profits exist, in the software platforms that businesses use. Microsoft, Google, Amazon, SalesForce, ServiceNow are the big winners. (Microsoft and ServiceNow are big players in public sector, including software for government departments and administrations.) Open sourced LLMs lower the barrier to even small tech startups to get in on the game.
This week's US tech stock market dip will be a blip in the mid-long term (and, yes I bought Nvidia shares on the dip at $117). It was a knee jerk reaction to DeepSeek LLM going mainstream. Already Alibaba (another Chinese tech major) has a distilled LLM that is performing even better, and is also open source.
By the way, it's pronounced "en-vi-dia", not "na-vi-dia".
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