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_posts/2024-03-19-aiuk-conf-day1/2024-03-19-aiuk-conf-day1.md

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 Good morning everyone and welcome to AIUK 2024.
 
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 # A Sneak Peek Inside Isambard-AI
 `19th March 09:20`
 
 First talk is up on one of the most powerful supercomputers built in the UK
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 Outline - How did it start?  
 Part of the Uk’s national AI research resource  
@@ -24,22 +24,22 @@ UX is a key measure of success
 Sustainable, accessible,
 It is part of [£300 million to launch first phase of new AI Research Resource – UKRI](https://www.ukri.org/news/300-million-to-launch-first-phase-of-new-ai-research-resource/)
 
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 Building work is still underway.  
 Very optimised for Power usage effectiveness  
 
 **What is this supercomputer for?**
 
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 Each blade has 900GBs+ of high bandwidth memory 🤯
 
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 All these layers will be available to use 
 
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 It will have guardrails for LLMs to stay within boundaries, eliminate bias and lower toxicity.
 
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 # Is AGI imminent?
 `11:05`  
 No. Thanks for coming to my Ted talk.
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 **What is AGI?**
 Ai is a mirror on ourselves.
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 # Stalls
 `13:00`
 
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 # AI Culture Long table
 `13:30`
 
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 Can AI generate something new?  
 Can AI be good for art? Turning memories into a poem. Opening up access to an experience that wouldn’t normally be available.  
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 # Data, Labour and AI
 `14:40`  
 Strong start: it seems to be about the abuse of labour and knowledge for AI.  
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 First-hand experience for detoxifying GPT during its training stages.  
 Knowledge was stolen from sites (we knew that).  
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 `16:00`
 Angela McLean, Government Chief Scientific advisor.
 
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 We need a scientific and systems approach to AI.
 Systems approach: AI superpower in 2030

_posts/2024-03-20-aiuk-conf-day2/2024-03-20-aiuk-conf-day2.md

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 Back again for Day 2, right next to the glorious Westminster Abbey
 
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 # PitchFest
 `20th March 10:00`  
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 Researchers (enrichment students) have 90 seconds to pitch their projects and highlighting its real-world impacts, creativity and innovation. They will be judged.  
 We are really trying to get the crowd excited but it’s a tough morning  
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 # Stalls
 `11:00`  
 
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 # Autonomous Cyber Defense
 `14:35`  
 
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 What happens when cyberattacks exceed the capacity for humans to respond?
 Deep Reinforcement Learning is the major tool for cyber security.  
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 [Purple Llama](https://llama.meta.com/purple-llama/)  
 [AIxCC](https://aicyberchallenge.com/)
 
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 How do humans oversee a system that runs faster than them?  
 How can we stop them being used against us?
 
 Lots of questions around policy issues
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 Questions:
 **How do you counteract bad actors?**
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 # AI and the battlefield of the future
 `15:00`  
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 Military is looking at AI and it crosses every aspect.  
 Only 40% of mil are available for deployment at any one time.  
 Lots of mil assets ready to be deployed but just waiting and need lot’s of maintenance. Could be an AI problem  
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 # Digital Twins for the Environment
 `15:30`
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 Digital replica of a system for forecasting. Difference between that and a simulator? Digital twin can be used by many users and can be continuously updated.  
 Most people believe that you need AI to create a digital twin. It needs real time infusion of data, be accessible to all types of users, highly complex.