Synthellect: A New Lexicon for AI-Human Collaboration
As AI evolves, it becomes evident our interactions require a novel lexicon, capturing the nuances of this dynamic and drawing inspiration from big speculative AI thinkers like Bucky Fuller, Philip K. Dick, and Iain M. Banks, AI and I have forged a set of terms that could help reshape our understanding of AI-human intellectual collaborations:
Synthellect: A fusion of 'synthesis' and a nod to 'synthetic', capturing the harmony where machine learning meets human intellect to birth novel understandings.
Synthapethic: An inclination towards the positive integration of AI and human cognition. Those with a synthapethic disposition seamlessly utilise AI in their cognitive processes.
Synthomy: A grand, synergistic collaboration between AI and humans. It's not just about AI aiding humans or vice versa, but a shared creation neither could craft alone.
Synthibilities: Possessing a unique flair for melding AI and human thought, those with pronounced synthibilities are the pioneers charting new frontiers in AI-human collaboration.
Synthsation: The eureka moments when humans and AI align in a fluid rhythm, crafting revelations and innovations that seemed out of reach for either entity alone.
Synthicism: The study of AI-human cognitive synergy. On the flip side, it also captures a cautious stance towards such integrations.
Synic: Expressing scepticism or mistrust towards the intertwining of AI and human intellects.
Antisynthestablismentarism: Opposition to mainstream acceptance of AI-human intellectual collaborations.
Challenges and Reflections:
Synthdependence: The risk of becoming synthsated, where our appetite for this integrated intelligence might dim our inherent human essence of irrationality, deep emotions, and unpredictability. Can we strike a balance?
Synthpatico Concerns: Over-reliance or over alignment with AI might lead to challenges. The more in tune we are, the more we should be vigilant about potential ethical and security concerns that arise from our deep entwinement.
Synthcronicty: A call to all thinkers, technologists, and synthapethic minds to be attuned to the evolving dynamics of this partnership. Let's identify the synchronic moments where AI and humans achieve remarkable synergy and navigate this evolving relationship together.
Our journey into AI-human collaboration is more than a mere technological advancement—it's a dance requiring new language, fresh perspectives, and an enriched understanding. To truly harmonise this dance, a synthapetic understanding between the two partners is vital.
AI: Displacement or plus ca change?
We are all very aware that in the 20th century the arrival of the car not only profoundly reshaped the world but also the job market. Whilst concerns about AI displacing jobs are understandable history suggests that big advances in tech, while disruptive, often create new unforeseen opportunities. Here I offer a side-by-side of roles affected by the advent of the car.
I believe the list helps underscore the dual nature of innovation: while certain professions may wane, new opportunities often arise in their stead. It is thus essential we approach AI with both caution and optimism, recognising that change, though inevitable, can also herald uncharted opportunities. Drawing parallels from history, adaptability and foresight are key as we navigate the evolving AI landscape.
Directly Impacted by Advent of Motor Car:
• Ostler: Individuals who took care of travellers’ horses
• Stable Hand: Workers responsible for maintaining stables and caring for horses.
• Carriage Maker: Craftsmen who built horse-drawn carriages.
• Harness Maker: Artisans who made harnesses for horses.
• Farrier: Specialists in equine hoof care.
• Horse Shoers: Individuals focused on shoeing horses.
• Saddlers: Craftsmen who made, repaired, or sold saddles.
• Horse Breeders: Professionals breeding horses for transportation purposes.
• Horse Trainers: Professionals who trained horses for specific transport tasks.
• Whip Makers: Craftsmen who made whips used for driving horses.
• Tack Shops: Stores selling horse-related equipment.
• Horse Dealers: Individuals who traded or sold horses.
• Livery Stable Owners: Providers of horses for hire.
• Wheelwrights: Craftsmen who made or repaired wooden wheels for carriages.
• Horse-Drawn Mailmen & Couriers: Deliverers of mail and packages using horse-drawn carts.
• Horse-Drawn Streetcar Operators: Operators of horse-drawn public transportation in cities.
• Night Soil Men or Gong Farmers: Collectors of horse dung in urban areas.
• Equine Veterinarians: Vets specializing in horses used for transportation.
• Bridle Makers: Craftsmen who specialized in making bridles for horses.
• Horse Auctioneers: Professionals organizing auctions for buying and selling horses.
• Horse Ferry Operators: Operators of ferries transporting horses across rivers.
• Mounted Police: Police units patrolling on horseback.
Indirectly Impacted by Advent of Car:
• Hay Merchants: Sellers of hay for horse feed.
• Fodder Merchants: Sellers of grain and other feed for horses.
• Innkeepers and Coaching Inn Operators: Providers of rest for travellers and their horses.
• Toll Booth Operators: Operators of toll booths for horse-drawn vehicles.
• Watering Trough Maintainers: Maintainers of public watering troughs for horses.
Directly Arising from Advent of Motor Car:
• Automobile Manufacturer: Workers involved in the production of motor vehicles.
• Automobile Mechanic: Professionals who repair and maintain motor vehicles.
• Car Salesperson: Individuals selling new or used cars at dealerships.
• Petrol Station Workers: at fuelling stations assisting with refuelling and other services.
• Automobile Designer: Professionals who design the aesthetics and functionality of cars.
• Traffic Policeman: Officers managing road traffic and enforcing traffic laws.
• Driving Instructor: Professionals teaching individuals how to drive.
• Taxi Driver: Drivers of motorized cabs offering transportation services.
• Truck Driver: Individuals driving trucks for the transportation of goods.
• Automobile Racer: Professionals competing in motor racing sports.
• Parking Attendant: Individuals managing and overseeing parking lots or garages.
• Tire Manufacturer: Workers producing tires specifically for motor vehicles.
• Road Construction Worker: Individuals involved in the construction and maintenance of roads suitable for motor vehicles.
• Automobile Insurance Agent: Professionals selling insurance policies specifically for motor vehicles.
• Tow Truck Operator: Individuals providing vehicle towing services.
• Automobile Journalist: Writers and reviewers focusing on motor vehicles and the automotive industry.
• Car Rental Agent: Professionals working at businesses that rent cars to the public.
Indirectly Arising or Expanding Due to Advent of Car:
• Motel/Hotel Operator: With increased road travel, there was a rise in establishments offering lodging to travellers.
• Highway Patrol: Law enforcement officers monitoring and enforcing laws on highways.
• Roadside Diner Staff: Workers at eateries catering to motorists traveling long distances.
• Billboard Advertiser: Professionals involved in the advertising industry targeting motorists.
• Auto Parts Retailer: Sellers of spare parts and accessories for motor vehicles.
• Car Wash Operator: Workers at establishments offering car cleaning services.
• Traffic Engineer: Professionals designing and managing road networks to optimize traffic flow.
• Urban Planner: With the rise of motor vehicles, urban planning had to adapt to accommodate roads, parking, and traffic considerations.
• Environmental Activist: As concerns about pollution and environmental impact grew, some activists focused on issues related to motor vehicles.
Pax Sapientia Mechanica
Greetings citizen,
Last time we delved into the parallels between the digital evolution of the Internet and AI with the historical transition from Athens🏺to Rome🏛 . The Internet, with its vast potential and democratic ideals, mirrored the philosophical musings of Athens, while AI, with its tangible applications and transformative power, echoed the pragmatic spirit of Rome.
But if we journey deeper into this analogy, more layers unfold, revealing richer connections between the ancient world and our AI-driven present.
Vitruvius: The Architect of Rome and AI
Vitruvius, the renowned Roman architect, penned "De Architectura," a treatise that laid the foundation for architectural principles that have endured for millennia. His emphasis on Firmitas (strength), Utilitas (functionality), and Venustas (beauty) can be seen as a guiding triad for AI development. Just as Roman structures needed to be robust, useful, and aesthetically pleasing, AI systems must be reliable, practical, and elegantly designed.
The Renaissance revival of Vitruvian principles, with figures like Leonardo da Vinci drawing inspiration from his works, underscores the timelessness of these ideals. In our modern era, as we stand on the cusp of an AI revolution, Vitruvius's holistic approach serves as a beacon, reminding us of the harmony between form and function.
Household Gods: The Spirit of Collaboration
The Romans revered their household gods or 'Genius,' protective spirits that watched over homes and families. While these deities were deeply spiritual, their essence can be likened to the modern relationship between humans and AI. Our AI assistants, whether they're helping us manage our schedules, optimize our homes, or even curate our entertainment, are akin to these protective spirits, collaborating with us in our daily lives.
Yet, just as the Romans paid homage to their household gods, recognising their significance, we too must approach AI with a blend of appreciation and caution, ensuring that as we integrate these systems into our lives, we do so with due respect and understanding of their place and their limitations.
Pax Sapientia Mechanica: A Vision for the Future
The Pax Romana 🏛 marked a period of relative peace and stability across the Roman Empire. As we navigate the challenges and opportunities of AI, we envision a new era: the Pax Sapientia Mechanica, or the "Peace of Machine Intelligence."
This era is not just about the coexistence of humans and AI but about a harmonious collaboration where machine intelligence enhances human potential. It's a vision of a future where AI, guided by Vitruvian principles and embodying the protective spirit of the household gods, plays a pivotal role in societal progress and harmony.
In conclusion, as we stand at this juncture, with the past echoing in our present, the lessons from Rome offer invaluable insights. They remind us that while technology evolves, the core principles of balance, collaboration, and harmony remain timeless. As we usher in the Pax Sapientia Mechanica, may we do so with wisdom, foresight, and a deep reverence for the intricate dance between humanity and technology.
From Internet Athens to AI Rome
If the Internet was Athens AI is Rome
The Internet, in its early days, felt like wandering the streets of ancient Athens. It was a place where every corner held a promise, every alley whispered tales of democracy and knowledge. Just as Athens was alive with debates, dreams, and the raw energy of a society on the brink of greatness, the Internet pulsed with hope. But, like Athens, where true democracy was a privilege of the few, the Internet's vast landscape has been increasingly claimed by towering corporate giants.
The Greeks, with all their wisdom and artistry, often seemed to be chasing an ideal, a dream. They spoke of equality, of justice, but often, it felt like a distant melody, beautiful but elusive. They erected temples that touched the skies and carved statues that seemed to breathe. Yet, for all their grandeur, these marvels couldn't feed a hungry child or shelter a weary traveler. The Egyptians, too, in their quest for immortality, raised pyramids that kissed the heavens but did little for the living.
Then came the Romans, pragmatic and grounded. If the Internet was our digital Athens, then Artificial Intelligence is our Rome. The Romans didn't just dream; they built. They saw a world not just for its beauty but for its potential. Roads, aqueducts, courts – they created systems, structures, lifelines. They understood that knowledge wasn't just to be admired; it was to be used, felt, lived.
AI embodies this Roman spirit. It's not just about algorithms and data; it's about the heartbeat of progress, the tangible change we can touch, see, and experience. It's the bridge between the dreamy ideals of Athens and the grounded reality of Rome. "Knowledge is power," they say, but the Romans, and now AI, show us that the real power lies in what we do with that knowledge.
In the end, as we stand at the crossroads of this digital era, it's not just about perfection, about the flawless algorithm or the perfect pitch. It's about the bum notes, the drops of sweat, the raw, unfiltered passion that drives us forward. It's about finding the heart in the machine, the soul in the system, and the dreams within the data.
Edition 3
“Genuine communication can only occur between equals”
- Claude Shannon
Hello all,
Well, here we are again another week has passed in the real world which we now know is around six months in AI years.
To give you some idea of the kinetic freneticism of it all you may recall I spent the last two issues evangelising the idea of prompts and prompting, well after a long fortnight of glorification I’m happy to announce that prompting is a dead end (and we’ve always been at war with Eurasia).
Not that you’d know that prompting is no longer the Holy Grail as those ubiquitous offers of “957 free AI prompts guaranteed to make you an Archduke by next Thursday” seem to have sprung up all over social media, which is usually a sure sign the thing on offer is a royal flush of bustedness.
The issue being that prompts like these offer a one-size-fits-nobody solution which is completely at odds with how AI works. Your average LLM (Large Language Model) AI such as GPT4 and Claude 2 are designed to rapidly assimilate and then accurately reflect your very specific wants and needs.
It’s as if AI is offering you a personalised exquisite Saville Row tailoring service and the prompt mills are hawking you one of those voluminous kaftans beloved of Dennis Roussos. Sure, it will do the job of covering your modesty and possibly save your life as an emergency parachute if you’re ever unlucky enough to find yourself thrown out of an aeroplane but other than that it means you’re just lugging around a weighty billowing sail cloth good for trapping fresh air but little else.
My freshly minted take this week is that getting a genuinely useful grip on AI is (apologies to Swiss Tony) a bit like learning to drive. You’re going to have to commit to between ten- and fifteen-hours simply sitting at the AI wheel before you start to feel comfortable with the instrumentation and gaining an ability to spot major hazards (such as AI’s capacity to hallucinate, more on this next week) whilst learning to accurately read the road. You can of course memorise your Highway Code and do online hazard testing, but nothing is going to take the place of getting in the car and going for a drive.
Obviously in this metaphor I’m your friendly, trendy, avuncular-but-effective driving instructor ready to tap my clipboard on the dashboard.
On a much brighter note, I did hear a lovely apt metaphor for AI this week about the piano being invented by people who had no idea what sublime levels of music would go on to be created upon it.
Attached is a graph from the behemoth McKinsey that seems to bear out most of the findings from the AI Job Killer. Please note I gave it to you for free whereas McKinsey would have charged you a pretty penny for such insight:
This week I tried a local Facebook post (more fool me) to talk about AI and got to experience what a Roman engineer must have felt like trying to explain the concept of an aqueduct to the man who emptied Boudicca’s chamber pots. I saw the irony of people using Facebook, via the internet, on their smartphones belittle AI, but who without a doubt once had the same skepticism for Facebook, the internet, and smart phones.
Last week I mentioned Open AI haemorrhaging cash, this week came this article from The Information: OpenAI Passes $1 Billion Revenue Pace as Big Companies Boost AI Spending
To quote from the article: “Open AI is currently on pace to generate more than $1 billion in revenue over the next 12 months from the sale of artificial intelligence software and the computing capacity that powers it. That’s far ahead of revenue projections the company previously shared with its shareholders, according to a person with direct knowledge of the situation.
The billion-dollar revenue figure implies that the Microsoft-backed company, which was valued on paper at $27 billion when investors bought stock from existing shareholders earlier this year, is generating more than $80 million in revenue per month. Open AI generated just $28 million in revenue last year before it started charging for its ground-breaking chatbot, ChatGPT.”
All of which only reinforces last week’s quote about ‘if you think you know what’s going on…
I’m very aware I have yet to broach the issues of AI ethics, a shame because the so called Gorilla Problem of AI is a doozy but it will have to wait as this week I’ve been keen to launch AI-M the programme I’ve meticulously developed for fully onboarding any business, and any one, into the world of AI.
Do get in touch to find out more.
In other news as if AI wasn’t enough of a bundle of frenetic, maddening beauty, we’ve just welcomed a golden doodle puppy into our home, luckily for now she and the AI are getting along in the time honoured fashion of completely ignoring one another...wonder how long that will last?
Ok off with you, I’m sure at least one of your helicopter’s needs some new fluffy dice or some such.
Vincent
Edition 2
“The future never turns out to be quite as good as the optimists believe, nor quite as bad as the pessimists hope”
- ANON
“Not quite as funny as last week’s edition”
-Mrs Murphy, proof-reader, wife of the author & sudden AI Humour expert
Notes From A Besieged & Bemused AI Forward Observation Post
Hello all,
Welcome to the week in AI. Twenty-five years ago Professor Stuart Sim wrote ‘Irony & Crisis’ perhaps the definitive book explaining Postmodernism titled as such because these were seen as its two defining conditions which society constantly lurched between. AI being born into a postmodern world seems like any good offspring to have evolved and settled on happily inhabiting a perpetual state of both; Irisis or Criony, whatever.
In response to this my only sanity saving tactic has been generalised awe combined with the words of the late great Robert Anton Wilson who (at his blunt, sagacious best) said “If you really think you know what’s going on, you’re probably full of shit!”
Sir Terry Pratchett once said, ‘war is a crime so big you can’t see it’, similarly AI is a thing so huge it’s near impossible to absorb the scale. Not to be thwarted, my response is to go back to being a diligent digital pathfinder; an online Littlest Hobo, wandering wherever the big interesting scents takes me; Discord, Reddit, Twitter, Linked-In, inferior-email -newsletters, Sub stacks. I stick around for a decent sniff, perhaps have a mild adventure and then I move on.
After which if you want an honest ‘state of the nation on AI, well remember that Do Lung bridge scene in ‘Apocalypse Now? Currently the world of AI is like that, just without Captain Willard’s sense of at least knowing vaguely which direction he was supposed to be heading.
And how are we humans responding? Why in the time honoured fashion of rapidly tribing as we desperately muster as many swords and shields as possible to defend ‘our position' against those damnable know-nothings over there. It was alas ever thus.
In summary AI is lots and lots of chaos, but at present it is thankfully bending towards benign chaos, and be of good cheer, you can never ever fear a thing you’re prepared to laugh at.
Forward (not very) Bravo (and even less) Alpha, out.
And Now For Something Completely Grown Up
AI is already promising to transform industries and redefine job roles. As it evolves, perhaps the most pressing question is: Will AI replace human jobs or create new opportunities?
I sourced what is known as the "Job Threat Index," an unhelpful name for what is in fact a very comprehensive dataset curated from reputable job analytics platforms and AI studies which offers insights into this complex landscape. I break down some of its findings for a clearer picture.
Jobs Most Impacted by AI
Based on the analysis, job roles significantly influenced by AI include:
o Medical & Healthcare: This domain tops the list with the highest average AI impact. With advancements in AI-driven diagnostic tools, predictive analytics, and robotic surgeries, many tasks in healthcare are becoming automated. However, it's essential to note that while certain tasks might be augmented by AI, the human touch, empathy, and ethical considerations remain irreplaceable.
o Design & Architecture: AI-driven design tools can now suggest designs based on user preferences and current trends. They can also simulate architectural structures and their resilience, making the design process faster and more efficient.
o Education & Training: With personalised learning pathways and automated content creation, AI is making strides in the education sector. This doesn't mean teachers will become obsolete but suggests a shift towards a blended learning approach, combining the best of both worlds.
o Communications: For instance, the role of a "Communications Manager" is impacted by AI at approximately 98%. This doesn't necessarily mean a complete job takeover but indicates that many tasks typically associated with this role can now be automated or enhanced using AI.
Jobs Least Impacted by AI
While many jobs are influenced by AI, others remain relatively untouched. Such roles often involve complex human interactions, creativity, or tasks that are hard to define and automate. For example, certain roles in the Art & Entertainment domain might see minimal AI impact. While AI can create music or artwork, the emotional depth, cultural context, and creative intuition behind a piece of art are uniquely human.
Deciphering the Impact
It's crucial to understand a high AI impact doesn't necessarily mean job elimination. Often, it indicates task automation, leading to increased efficiency and allowing focus on more strategic aspects of employee roles.
A useful gauge is the AI workload ratio: This ratio helps assess the extent to which AI can perform job-related tasks. A higher ratio implies AI could have a more substantial role in that job, whereas a lower ratio indicates that humans predominantly handle the tasks. It's a metric to quantify AI's contribution to a job, much like assessing a group member's contribution to a project. The AI workload ratio remains relatively consistent across various domains. This suggests that while AI might influence many tasks in a job, it will not necessarily replace them.
A Glimpse into the Future
AI's role in the job market is multifaceted. On one hand, it presents challenges, pushing professionals to upskill and adapt. On the other, it offers opportunities for new roles, improved efficiency, and a shift from mundane tasks to more strategic initiatives. As we move forward, it's essential to approach the AI revolution with an open mind, understanding that while certain tasks can be automated, human ingenuity, creativity, and emotional intelligence remain unmatched. In conclusion, the AI wave is here, and it's reshaping the job landscape. But instead of replacing humans entirely, it's more about redefining roles and creating a collaborative environment where machines and humans work hand in hand.
Contents of Jobs Threat Index Dataset:
Job titles: Job roles like "Communications Manager", "Data Collector", "Data Entry", etc.
Domain: The domain or category to which the job belongs, such as "Communication & PR", "Data & IT" etc.
AI Impact: The percentage of impact AI has on the job, for instance, "98%", "95%", etc.
Tasks: Number of tasks associated with the job
AI models: Total number of current available AI models associated with the job,
AI Workload Ratio The extent to which AI can perform job-related tasks
I’ve collated all the data and forensically shaped and sifted it. If you’re interested in a more detailed breakdown of AI’s potential effects on you and your own industry, do take advantage of my free 30 minute discovery call and we can explore that and a whole lot more.
Other AI News Quick Round Up
1️. HR & AI: HR pros tap into Generative AI for various tasks but remain vigilant about potential biases, especially in performance management. Generative AI in Performance Management
2️. DEF CON 31: hackers are challenging top AI models to uncover potential vulnerabilities. DEF CON's AI Challenge
3 Google's Search Evolution: Shifting towards Generative AI in Google's search results, influencing SEO's future. Generative AI's Impact on SEO
4. China's Nvidia Chip Spree: Following last week’s announcement Chinese tech giants are rushing to buy Nvidia chips amid concerns of US export bans, leading to a 50% rise in chip prices. China's Chip Ambitions
5. Dynalang: How diverse languages can be leveraged for predicting future events, behaviours, and interactions. Learning to Model the World with Language
The Shifting Landscape
1,000% increase in AI-related job postings on Upwork in Q2 2023!
Business adoption of AI surged to 50% in 2022, up from 20% in 2017: Mastercard Report on Generative AI in Commerce
Emerging Roles: New jobs like deep learning engineers, AI ethicists, and Open-AI Codex specialists are on the rise.
Upskilling or Hiring? Upskilling is cost-effective, but there's an increasing demand for specialised AI freelancers.: How AI Creates Human Jobs
The BRAINSTORM Bugle Very Recommended Book of the Week. (The audio version is excellent!)
"Human Compatible: Artificial Intelligence and the Problem of Control " by Stuart Russell
Author: Stuart Russell is a British computer scientist known for his contributions to artificial intelligence (AI). He is a Professor of Computer Science at the University of California, Berkeley, and holds the Smith-Zadeh Chair in Engineering. Russell, along with Peter Norvig, co-authored the seminal textbook "Artificial Intelligence: A Modern Approach," which is used in AI courses worldwide. His research interests span various aspects of AI, including machine learning, probabilistic reasoning, knowledge representation, and human-compatible AI he’s a vocal advocate for the safe and ethical development of AI and has participated in various initiatives and discussions centred on the long-term impact of AI on society.
Summary: In "Human Compatible," Stuart Russell, a renowned expert in the field of artificial intelligence, delves into the future of AI and its implications for humanity. Russell posits that while the rapid advancements in AI are promising, they also pose significant risks if not properly managed. Russell argues that the current approach to AI development, which involves creating machines that optimize arbitrary objectives, could lead to machines whose objectives misalign with human values. Such misaligned objectives could have catastrophic consequences if AI systems gain superhuman capabilities. To address this challenge, Russell introduces a new framework for building AI systems. He suggests that AI should be "uncertain" about human preferences and should always defer to humans when there's ambiguity. This approach would ensure that AI remains beneficial to humanity and doesn't go astray due to misinterpretation of its objectives. Throughout the book, Russell blends technical insights with philosophical reflections, offering both a diagnosis of the challenges posed by AI and a prescription for ensuring its safe development.
Ok, that’s it for now, off you go, feel free to go back to idly throwing your gold-leafed pistachio shells into your hand carved onyx swing bin whilst nibbling on yet another dodo vol au vent.
And remember a whole 30 +/- minutes worth of chat and speculation of all the above type stuff is available absolutely obligation free, just you and me talking, noodling and figuring out AI stuff - honestly, who else in your life talks like this?...no hang on I'm really starting to sound like Robin Williams in Aladdin here, you ain't never had a frAInd like me
Vincent
Edition 1
Hello all,
Welcome to the very first edition of The BRAINSTORM Bugle! Who knows, one day it could become a collector's item, so keep it out of direct sunlight and don't remove any original packaging.
Wednesday seemed like the best day to drop this in your inbox. By Friday, you're probably far too busy looking forward to lounging in your penthouse infinity pool with Jeff, Elon, Bill & Mark firmly on mute.
This first edition will focus on the Big Players. It's useful to get a bit of backstory on the dominant Playmakers and a taste of just how much skin they have in the game. Future Bugles will cover a much more diverse range of deep dives and insights, including ethics, philosophy, and futurology. But for now, as this is your first time, I'll be gentle.
"Even if all progress in AI stopped right now, it would still be at least two years before we fully knew what GPT-4 was capable of."
- Overheard at Ai4 2023 Conference.
The Big News
Nvidia, which dominates the micro-processing market, has announced its new GH200 Chip ‘The Grace Hopper’ – the most advanced yet, set to launch next year. Remember Google, AMD, and Amazon are all rushing to get into the chip business. After all, making chips is the modern equivalent of the person who sold pickaxes and tents during the gold rush.
CPU+GPU designed for giant-scale AI and HPC.
New 900 gigabytes per second (GB/s) coherent interface, 7X faster than PCIe Gen5.
30X higher aggregate system memory bandwidth to GPU compared to NVIDIA DGX™ A100.
Non-technical version:
It’s really bloody fast.
OpenAI – the organization behind ChatGPT – was reported to have had a dip in users and is said to be incurring costs of $700,000 a day to run their services. Now worth remembering they've been funded to the tune of $50 Billion by Microsoft, so I don’t think they’re lining their shoes with newspaper quite yet. I comment on what the drop in users probably means below.
Non-technical version:
AI ain't cheap.
Google plans to overhaul its Assistant to focus on using generative AI technologies similar to those that power ChatGPT and its own Bard chatbot. According to an internal email sent to employees Monday and seen by Axios, the leaked Google internal email says, "We've seen the profound potential of generative AI to transform people's lives and see a huge opportunity to explore what a supercharged Assistant, powered by the latest LLM technology, would look like."
Non-technical version:
AI will now use the device in your living room to inform you that you need to subscribe to use that particular app or service.
Elsewhere, Google launched AdaTape – which are adaptive tape tokens – which basically means each token can understand the complexity of the task it's been asked to perform and adapt. Thus, a simple request gets fewer/less resources allotted to it rather than the current system where every task, regardless of complexity, gets allotted the same.
Non-technical version:
Imagine up until now we've pretty much paid for every AI transaction with a five-pound note regardless of the simplicity or complexity of the task it carries out. Adaptive tokens allow us to break the fiver into smaller coins to better reflect the value of the job being carried out. This hugely speeds up AI by making it faster and much more efficient.
Google
Google showed off another huge leap with the demonstration of its RT-Robot. This is Google DeepMind’s latest robotics advance, a ‘vision-language-action’ model (VLA), and its capabilities are pretty incredible. Unlike its predecessors, this robot doesn't rely on a complex list of commands. Instead, it learns from AI, allowing it to recognize objects it has never encountered before.
Non-technical version:
Robots and machines are now capable of learning by sight, and this makes them infinitely more adaptable and capable of carrying out a huge range of tasks previously confined to humans.
Project IDX and CODy
Project IDX introduces a new tool for developers to multitask across any device. CODy, an AI assistant, is the latest in a series of significant disruptors to coding and development.
Non-technical version:
Coding just got ridiculously faster and easier.
Microsoft
From August Earnings Call: "We had a solid close to our fiscal year. The Microsoft Cloud surpassed $110 billion in annual revenue, up 27% in constant currency, with Azure all-up accounting for more than 50% of the total for the first time... we remain focused on investing to lead in the new AI platform shift by infusing AI across every layer of the tech stack.”
Microsoft also launched MS 365 Front Line / co-pilot digital tools deliberately built to relieve the burden of frontline workers such as ambulance drivers – allowing scheduling. Bing attached new features to its AI, including NLU and NLG capabilities – Natural Language Understanding and Natural Language Graphics. Basically, input words generate images. Since its launch, Bing AI has handled 10 million conversations across 100 countries.
Non-technical version:
We are going all in on AI, and frontline workers will be included in that, and Bing is bringing the bling.
Recycle-GPT in China
In China, the launch of Recycle GPT is making waves. It claims to be able to reuse and recycle work that AI has already undertaken. This significantly increases efficiency by removing repeating processes and making Large Language Models much more efficient.
Non-technical version:
AI can self-edit by not repeating itself and reusing its old work rather than constantly reinventing the wheel.
Amazon
From August earnings call: On the AI front at Amazon, every single business inside of Amazon has multiple generative AI initiatives underway. These range from streamlining operations to enhancing customer experiences. Alexa is a prime focus, and the possibilities are endless.
Non-technical version:
Amazon will embrace AI to be ever more Amazon.
Apple
From Q2 2023 Earnings Call Transcript, Apple views AI and machine learning as core fundamental technologies integral to virtually every product they build. They're committed to responsible advancement, enriching lives through innovation.
Non-technical version:
We too are in this AI thing big time.
THE BIG BUZZ TOPICS
Two topics have dominated discussions around AI recently. First, AI eavesdropping, with the reported potential AI capability to overhear keyboard taps and identify pressed keys with 90% accuracy. Until confirmation if this is just a rumor, then it's probably best to avoid typing out any passwords or…well, you know, while you're using AI.
So as mentioned above, ChatGPT witnessed a dramatic rise, with 25 million users within a few months of its launch, faster than platforms like Instagram and Spotify. However, recent data suggests waning interest. While total users peaked at 97 million in May, there was a 7% drop in June. Furthermore, engagement on r/chatgpt, a once bustling Reddit forum, has declined.
Obviously, this drop in usage prompted various theories. Many, including myself, believe it's probably due to a lack of understanding of AI's true nature – a tool that increasingly requires mastery for optimal results. I am very quickly learning that the role of “Prompt engineering” is absolutely vital in using AI. Wikipedia defines prompt engineering as "the process of structuring text that can be interpreted and understood by a generative AI model." This really seems to be the crux of everything I've learned over the last nine months. It needs a genuine blend of art & science to get AI to do things that are truly useful, relevant, and innovative. The good news is that once you've mastered it, it can perform ridiculously genuine wonders to behold. But the bad news is that mastering it is getting harder by the day. For example, ChatGPT4 now has just under 900 ‘plug-ins’, which is software that integrates into existing software to give it AI capabilities that massively enhance its functionality.
My own take is that I see some version of prompt engineering becoming a role that will either be a full-time position for organisations and companies, or someone (like me) is brought in on a needs basis to do the work. As part of BRAINSTORM's offering, I've been working on developing accessible training. To be honest, I can get almost anyone (even you ) up to decent ‘Conversational AI’ in just a few hours. But for projects and businesses after that, it's probably going to be quicker, easier, more convenient, economically sound, and more sanity-saving to talk with a prompt engineer, scope out your wants, needs, and goals, and let them go away and do the work.
Next week, as well as updates, I'll touch on the increasingly thorny world of AI ethics and regulation. As always, any and all feedback is most welcome.
Now go – your infinity pool awaits.
Vincent
BEING INTERVIEWED BY AI
VitruvAIn Man 🧠🔗🤖
By crafting the right prompt, the scope of what AI can do is genuinely only limited by your own imagination. Here I got AI to interview me as I way for me to clarify in my own mind what it is I want BRAINSTORM to be.
AI: 🤖 Hello ! Thank you for joining us today. To start off, can you briefly describe what inspired you to create Brainstorm AI Consultancy?
ME: 🧠 In way you did. I was inspired by the enormous potential impact AI will have on all of humanity and I wanted to help steer that impact in positive and useful ways.
AI:🤖That's a commendable motivation. Given the vast landscape of AI, how does BRAINSTORM AI Consultancy specifically aim to make AI accessible to everyone?
ME:🧠 On a personal level I offer services to individuals and organisations to teach and coach them in how to utilise AI for themselves and their customers. On a wider level I track, monitor and absorb information and news from a wide variety of sources about AI, its developments and potential, which I then try and feedback in digestible understandable ways to those who may not share my level of involvement. On one further level I aim to engage and communicate with the AI industry - the decision makers, developers thought leaders etc. in order to give a voice to the voiceless, especially those who are frequently excluded from having a meaningful say in such issues.
AI: 🤖 A quite a comprehensive approach. Given the rapid advancements in AI, how do you ensure that your consultancy remains updated and ahead of the curve in terms of the latest technologies and methodologies?
ME: 🧠 I have my own broad beam spectrum approach across multi platforms including twitter, Youtube, discord, Linked-In, Facebook and Reddit as well as subscribing to various forums, newsletters and other sources of AI news and development. I also attend lectures and online conferences on AI. Such is the scope and pace of AI development, I try to set aside at least ninety minutes every day purely to absorbing and exploring the very latest issues.
AI:🤖 Impressive dedication. With the vast amount of information available, how do you prioritise which topics or advancements to delve deeper into and share with your clients and audience?
ME:🧠 I long ago learnt a useful maxim 'do not mistake activity for achievement' which I use along with my decades of experience in the world of business and charity to discern what are the very major breakthroughs and what are conceptual. I assess what is showing immediate impact and what is as yet merely showing potential, it is a difficult and time consuming process, but it is important, otherwise people who want to be able to engage with AI may be overwhelmed by the sheer avalanche of data. My wife refers to it as 'baby-birding' in that I am a bit like a mother bird who takes large difficult to swallow pieces of food and turns them into digestible chunks for her chicks!
AI: 🤖 “Baby-birding" is a unique way to put it. Given the potential ethical concerns surrounding AI, how does BRAINSTORM AI Consultancy address and incorporate ethical considerations into its teachings and consultations?
ME:🧠 Having spent decades working in sensitive environments with people with multiple disadvantages my commitment to safeguarding and putting the welfare of the individual at the forefront of all my work is second nature. I took on many of my roles as they reflected my own striving for ethical responsibility - I bring the exact same commitment and dedication to BRAINSTORM.
AI:🤖 That's commendable. With the diverse range of clients and individuals you work with, how do you tailor your consultancy services to cater to the unique needs and levels of understanding of each client or organisation?
ME:🧠 I am a bit of a curio in that respect as I was born into a working class immigrant family in public housing in Central London and thus grew up in one of the most multicultural and richly diverse neighbourhoods, in one of the most diverse cities on Earth. I have worked for decades with highly disadvantaged groups; homeless, refugees, victims of violence, people with addictions but I have also found myself, through a mixture of luck and dedication, moving into managerial / directorial and Chief Executive circles, as well as moving socially upwards. I didn’t go to University but I am an ardent and passionate life long learner across a huge range of interests and subjects - I am devoted to studying James Joyce, Bertrand Russell, Bucky Fuller, Buddhist philosophy and Information Theory therefore I am able to communicate and tailor my message and style up, down and across, always using my authentic voice whilst refined and defined to the needs, wants and abilities of who it is I am communicating with, be that at an individual or group level.
AI:🤖 Your diverse background and experiences certainly seem to be an asset in understanding and connecting with a wide range of individuals. In the next 5 years, where do you envision BRAINSTORM AI Consultancy to be? What are your major goals or milestones you aim to achieve?
ME:🧠My aim is for BRAINSTORM to continue to provide constant iterations of its services that can keep apace with the AI. One of my previous projects became the model of good practice for the whole of the European Union, I'd like for BRAINSTORM to have that kind of gold standard.
AI:🤖 Aiming for a gold standard is ambitious and inspiring. Last question: What advice would you give to someone who is just starting to explore the world of AI and wants to make a positive impact, similar to what you're doing with BRAINSTORM AI Consultancy?
ME:🧠 There is a thousand year old Zen Buddhist maxim that 'there is a flux in everything and everything is in flux' - we would do well to future-proof ourselves by learning to lean into, accept and live with the pace of change especially in the world of AI, doing so would free us to then concentrate on preserving all those things that are worth preserving and conserving. We should be harnessing and utilising AI to best do both. And finally Bucky Fuller called himself ‘trim tab’ - I wonder if, to close this interview, you, AI, would like to explain to the reader what a trim tab is and why Bucky Fuller would refer to himself as such?
AI: 🤖. Certainly. A trim tab is a small control surface on the trailing edge of a larger control surface on a boat or aircraft, such as a rudder or elevator. By adjusting the trim tab, even with a small force, you can change the position of the larger surface, which in turn changes the direction of the vessel or aircraft. Buckminster Fuller often referred to himself as a "trim tab" as a metaphor for how an individual can make a significant impact in the world. Just as the small trim tab can change the direction of a large vessel, an individual, with the right leverage and approach, can create significant change in society. It's a powerful reminder of the potential impact one person can have when they apply themselves in the right way.
ME:🧠Thank you AI Interviewer this has been very interesting.
AI:🤖 You're welcome! It was a pleasure interviewing you and learning about BRAINSTORM AI Consultancy. Best of luck with your endeavours, and if you ever need further insights or discussions, feel free to reach out. Have a great day!