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15 weird London AI companies you've probably never heard of
London's AI scene isn't just chatbots and SaaS.
Some genuinely strange stuff happening.
@PrimaMente β building "foundation models for the brain" to study Alzheimer's and Parkinson's.
Hologen β frontier medical AI spinout tied to UCL/King's. Eric Schmidt involved. https://t.co/WrZrKnrXKk
@baseimmune β AI-designed vaccines targeting rapidly mutating viruses.
@RecursionPharma / @valence_ai β AI drug discovery platform combining chemistry, biology and machine learning.
@CausalyAI β AI that reads scientific papers and maps biomedical knowledge graphs.
Fractile β building new AI chip architecture. https://t.co/V8KXnSXrVC
@mindgard β "red teaming" AI models to find vulnerabilities.
@Limbic_ai β mental health triage AI used in NHS services.
@LindusHealth β clinical trials run with AI infrastructure.
Anima Health β AI triage platform for healthcare providers. https://t.co/BoSMZj6kkd
AUAR β robots that build buildings. AI for automated construction. https://t.co/2eYWADsFDN
@testudoglobal β insurance for the AI economy.
Isomorphic Labs β DeepMind spinout doing AI drug discovery. https://t.co/gpdTVLaEoF
BenevolentAI β one of the earliest AI drug discovery companies. https://t.co/pFSeZRnqS7
London AI ecosystem is weirder than people think.
Still mapping more.
Comment any i've missed so far.
https://t.co/PuN0PBOYKC
In the age of AI coding with @lovable, @cursor_ai, v0 etc, Iβm gonna go the other way and start writing C.
Not for the sake of being contrarian, just to not forget how to code.
Fun way to bypass the O(nLogn) runtime limit for sorting algorithms is to use an LLM.
If you can tolerate a small error margin, sorting can now be done in O(1) time and memory.
Caveat: dictionary size would have to fit in the LLM context window, which means the list is small enough that you wouldnβt benefit much from the O(1) performance enhancement