when would your teenage students or teachers need to connect with Demis Hassabis Intel?

 For at least 16 years now , Demis Hassabis partners have been leading branch of ai to do with biotech (everything sourced in natures maths - einstein =emcsquared)- This includes foundational research of his and now potentially all of google resources too

Before Hassabis scientfic advances with natures bulding blocks needed to be done in wet labs - now it can be done in silico 

Here is extract from grok 3 May 2025 clarifying this statement

Before biotech AI, scientific advances with nature’s building blocks needed to be done in wet labs—now most breakthroughs can be done in silico."

What It Means:

• Wet Labs: Real-world labs where scientists work with physical stuff like cells, DNA, or chemicals, using tools like pipettes and microscopes ([Web:4]). Think of mixing potions in a science class!
• In Silico: Experiments done on computers using simulations and math models, like designing a protein on a screen ([Web:1]). It’s like playing a super-smart science video game.
• Nature’s Building Blocks: Things like DNA, proteins, or cells that make up living organisms ([Web:4]).
• Biotech AI: Artificial intelligence (like Grok 3) using Core Maths (e.g., linear algebra, statistics, [Web:5,7]) to study or design these building blocks ([Web:8]).
• Breakthroughs: Big discoveries, like new medicines, better crops (e.g., bambara), or disease cures ([Web:4,23]).

Why It Matters: The statement suggests biotech is shifting from physical labs to computer-based work, which could make science faster, cheaper, and more accessible—exciting for 2035 goals like feeding 8 billion people or fighting climate change ([Web:6,15]). But is it true that most breakthroughs are now in silico? Let’s break it down. MORE of GROK3 on understanding in silico biotech revolution at level of intelligence teenage education

biotech ai is core to health and safety ai

biotech is multiple versions of agriculture from most productive seeds for crops in vilages with least tech in world to what sounbds like a catalogue of magical tricks eg turning dandelions into latex or mushrooms into a haute couture leather substitute abd all sorts of hidden science traeasures

hassabis earned 2024 nobel prize - so one of his catalogues of current innovations is this pdf as presented wimnter 2024

he actually began his discovery of intelligence in games in early 1990s, took a doctorate in neuroscience at london's imperial eg he demonstrated that the brains of london taxi drivers developed a bigger hippocampus because of the practical knowledge they built at least in days before car dashboards offered digital mapping), ... became one of jensen huangs's motivations for betting the comopany on brnches of ai from founding deep learning lab stanford 2009- hassbis had been visiting stanfird on a royal society neuroscience Gatsby grant; biotech ai is mainly about pattern analysis; steve jobs pixar nd jensen had started coding pixels instead of 0.1 s in 2002- radilogist nd surgeon ai had already bevome nvidia world leading apps; but hssabis idea ws if you train machines to be workd champions in patern games like go they will likely be able to eg open source all 250 million proteins- this work by phd stidnents might take a billion humn yers - so once alphafold3 open sorced proteins that alone should have woken up disbelievers to ability of ai to do good

to be clear hassabis biotech ai is very different work from the 5 senses ai which has proiduced chats, reasoning and soon physical ai necessary before autonomous humanoids go out on every town

hassabis is resident in london and cambridge making uk world number 3 in ai and his purspoes connect many of the royal society purspoes and so king charles main interestes in ai; indeed the cambridge startup park is landlorded by the crown; cambridge had also evolved the number 2 deep chip maker to nvidia arm - which at one time ws likely to merge with nvidia;

in 2012 when all human sense models became workd famolus with fei-fei li imagenet comoetition winner alexnet using neural network algorithms for only the second time since neumann noted their importamnce on his 1956 death bed "computer and the brain"

because of need of access to biggest computers hassabis negotiayed 2012 merger with google but his own breanch of work is still led out of london while his advice is now sought on all google work

there is a full loop between the branches which code 5 humans senses and biotech ai - this is the physical ai that machines need befire they autonomously self drive or go out on the twoan as humanoids; 

nvidia leads both branches of these automonus robot platforms in key parts of tyhe coding but not the actual applications of manufacturing e;lectric cars eg tesla ; commercialising drievrless taxis etc

what also brings this full circloes was 2025 gtu climax announvcement by jensen - google-hassabis deep mind, nvidia and pixards current owners disney are partnering in teaching robots soft touch - vital so ther metal bodies are 100% clear how fragile eg humans are comparatively