Friday, January 27, 2023
We've lit the fuse in fusion!
Wednesday, January 25, 2023
Slaughterhouse live - my first real job!
People in education and learning often imagine that everyone works in an office and is in need of hokey 'Leadership' training. Working people who do physical jobs, not on Zoom, are often written out of the narrative. I've had some of those jobs.
In fact, I’m always surprised when young people get to University or start their first job after graduating, having never worked. Sure paper rounds have gone the way of newspapers, and employing children is no longer easy but it’s part of growing up. More than school, college or any University, it’s your first honest encounter with real people and the real world.
Sunday, January 22, 2023
OpenAI has opened up AI to the world but will it conquer the world?
We have been using GPT software since its launch in a range of learning tasks and in all three of these books, the idea of AI generating content among many other tasks is covered. It is not a matter of 'if' but when and how much the learning game will be transformed by AI.
AI is the new UI, as well as generating content, learner support, personalisation and assessment. It is leading to smarter platforms, smarter content and smarter forms of delivery.
OpenAI is worth around $30 billion. This doesn’t surprise me. It was set up as a philanthropic entity to create AI for the good of humankind. It has been true to that goal so far, creating some of the most astounding AI services we’ve ever seen. It worked because of its focus on hiring some of the best talent on the planet, funding it well and giving them clear goals.
It started with a $1 Billion investment in December 2015 by Elon Musk, Sam Altman, Greg Brockman, Jessica Livingston, Peter Thiel, Reid Hoffman, AWS, Infosys and YCResearch. It became a ‘capped-for=profit with a $1 Billion investment by Microsoft.
1. Microsoft has invested $1 billion but that deal is not exclusive, so OpenAI can do things for themselves and with others. This gives them the flexibility to do things either solo or in deals with others.
2. DALL-E became a global meme in image creation. It was the start of generative image AI that is going at an incredible speed. It is clear that this will have a major impact on image production, content production, even art. There is also Image GPT.
3. GPT-3 (Generative Pre-trained Transformer) is much larger than ChatGPT, with 175 billion parameters compared to ChatGPT's 20 billion parameters. This makes GPT-3 more powerful and capable of handling more complex natural language processing tasks.
4. ChatGPT-3 though, is a dialogue based LLM that was released to huge acclaim. It is truly disruptive as a text generator in areas such as content creation and assessment. It is rumoured that ChatGPT-4 will be released in 2023.
5. Whisper is speech recognition software, trained on a huge and diverse set of audio data. It can generate speech as well as translate and identify languages.
6. OpenAI Five is a set of five bots that play on five on five games in Dota 2, a computer game. They also have GYM Retroa platform for RL research on video games.
7. MuseNet has been trained to predict subsequent musical notes in MIDI music files to generate songs with ten different instruments in fifteen different styles.
In just a few years they have managed to create some of the world’s most advanced AI software. There is no guarantee that the existing large tech companies will not be challenged by the new. In fact, it is almost certain. Being small and focussed, well funded, with clear goals, can lead to stunning breakthroughs. Deepmind was a previous example in AI, there will be others.
Saturday, January 21, 2023
Amazon a story of how AI became the beating heart of a business
I have written about Amazon in all of my books but especially in 'AI for learning' and 'Learning Technology', as arguably the single largest digital disruptor on the planet. What they did was extraordinary, to take a bricks and mortar sector and turn it into a global, digital service. They have redefined retail, not just in books but for almost everything. They are also in digital services such as AWS. The deep technology behind all of this is AI. They are the masters at using customer focused AI, as well as manage and scale their business.
- Amazon’s retail business is one great recommendation engine. Their product recommendations are on all services, focused on the home page. Their interface is finely tuned and personalised using AI. Bezos was fanatical about having AI as the new UI to improve customer performance, first with one-click but then hundreds of other small adjustments and services. Fed by data from their massive customer base it is constantly improving.
- Amazon Prime’s interface is AI and data driven, tiled and personalised, as is Amazon Music. It uses collective and individual data to recommend what you may want to watch, as well as promote Prime as a service.
- Amazon put AI into the home with Amazon Echo - Alexa. They created the home device sector with machine learning text to speech and speech to text in a consumer setting.
- The hidden hand of AI optimises logistics, storage, waste packaging and delivery, a massive worldwide distribution service. They are the masters of logistics. Computer imaging is used in product selection in their warehouses. Their logistics also includes forecasting product needs and supply through predictive AI software.
- AWS delivers broad and deep and pre-trained AI and ML services to their IT customers, more than any other cloud offering. They are number one, delivering. Others are; Microsoft, Google, IBM and Oracle, Alibaba and Tencent. Most companies will obtain AI capabilities through cloud-based enterprise software.
- AWS is optimised using AI and is 16% of Amazon business but delivers 41.5% of the cloud computing market -- greater than all of its competitors combined -- Microsoft Azure (29.4%), Google Cloud (3.0%).
AI is the heart that beats within Amazon, the core technology behind all of its services. It is what drives them forward, increasing customer growth through better service and lower prices, as well as dominate cloud computing.
Wednesday, January 18, 2023
Apple's strategy for AI is around device improvement
They are more about improving the performance for the consumer, step-by-step on used devices, rather than launching AI as service products. This is all about increased value in the consumer market for hardware. Indeed their focus on the design and manufacture of their own AI chips has been relentless.
However, they have a strategy and artificial intelligence is embedded everywhere in their products:
- Built their own A13 Bionic Chipset, now found in their devices, putting algorithmic power in the devices themselves, the fastest CPU and GPU embedded in a smartphone.
- Integrated AI into many of its products, such as face recognition on its iPhones.
- Using machine learning to improve the performance through image processing on its iPhone cameras. Their AI chips include, for example, an image processing feature known as ‘Deep Fusion’ which uses machine learning to improve low to medium light photography,
- Siri, the personal assistant for iOS, iPadOS, watchOS, macOS, and tvOS uses AI to improve performance. It make Sirs pretty slick, especially on understanding prompts, recognising specific voices and translation.
- Heath apps such as exercise, sleep and dignostics use data and machine learning.
- Smart home devices will include AI, including face recognition on door cameras, that recognise who is at the door.
- Hand washing countdown, digital car keys and many other real world tasks will be recognised through Apple devices.
- AI will be foundational in their AR glasses, rumoured to be released in 2023.
Tuesday, January 17, 2023
Microsoft launched ChatGPT-3, but Google also have a great hand, in fact they have a bird in the hand...
Microsoft are holding a lot of great cards in the AI game, especially ChatGPT-3, but Google also have a great hand, in fact they have a bird in the hand:
Hassabis has promised some sort of release in 2023.
Their goal is to reduce wrong and invented information by linking it to Google Search and Scholar for citations. Stating the source(s) is important to overcome the nervousness people have about the validity of the content. It may also frighten those who see these tools as blowing up citation-based assessment and hey may have a solution to this problem.
Google’s goal is a more laid back goal to build on Google Tools such as Search and Scholar to deliver factually correct text. They also have Lamda, remember the chatbot that a Google developer thought was sentient? RanBran , is AI deeply embedded inside tier search engine and they have acquired well.
To achieve this they want to use a form of reinforcement learning (RL) based on people's actual feedback, to improve performance. This is clever as it can determine whether output is adequate, needs more or even a citation.They also stress test the system by getting humans to break the system.
They recognise that real dialogue with trustworthy answers, requires additional rules that constrain that dialogue. The quickest way to determine those rules is from real human judgements.
Of course, OpenAI will release with ChatGPT-4, a product that is several orders of magnitude bigger than Chat GPT-3. Google are old hands, have the processing power to deliver and may want the ChatGTP to take the heat, then release afterwards. The stakes are high. The winner adds billions in value.
Wednesday, January 11, 2023
7 reasons why Microsoft is winning the AI war
The cigar goes to Microsoft. Google comes second... But first Microsoft:
1. They were wise to pay $1billion for OpenAI in 2019 as that has already led to a massive multiple in value. The monetisation of these tools at volume is a certain winner and they have the computing power to deliver.
2. DALL-E now powers Bing Image Creator and is the start of something very big in images. This is starting to move towards the creation of video and 3D objects and worlds that gives edge in the Metaverse.
3. Then there's GPT functionality in Word, PowerPoint, Outlook, future proofing these office tools. This changes these from tools to powerful, generative job aids. It will help you write, design presentations and use spreadsheets with a significant increase in speed and quality.
4. Their ability to deliver via Teams is also possible. AI is already built into the platform. One can expect learning content to be one beneficiary.
5. They also own GitHub which has released the amazingly well received Copilot, increasing productivity in coding.
6. Valle also produces an AI voices. AI is the new UI.
7. Azure and associated services give them global and important edge computing delivery.