Nhamo Mtetwa

Attending Rowan Simpson's "How to Be Wrong" book launch this week and reading Team Topologies' recent article on Trade Me's "thinnest viable platform" sparked memories of my time there. What made Trade Me not just wildly successful but genuinely fun to work at? This is something I've reflected on for many years. Perhaps simplicity might be the superpower we've forgotten. In our era of increasing complexity, what lessons could we extract from those simpler, more effective days? https://lnkd.in/gXSvVHkt #SystemsThinking #SoftwareEngineering #Simplicity

34

6 Comments

Capco recently collaborated with T. Rowe Price on a DCAM assessment to benchmark their data management maturity and accelerate their transformation journey. Following the assessment, T. Rowe Price advanced governance, strengthened data quality, and built a clear roadmap for growth. These achievements also led to recognition as a founding member of the EDM Association’s Data Excellence Program. Uncover how the right framework can drive lasting data transformation: https://okt.to/sWkaEt Glenn K. Vanessa Movasseghi James Mathis Jay Como John Bottega

39

2 Comments

Stop treating your favourite LLM like a single source of truth. Andrej Karpathy just dropped “LLM Council” – a simple local app where multiple models answer your question independently, then review and rank each other’s answers, and finally a “chairman” model synthesises the final response via OpenRouter. This matters because it: - Assumes models are fallible and need cross checking - Builds critique and review into the workflow - Focuses your effort on orchestration, not hero-worshipping one provider If you are a student or early-career dev, do not build yet another single-model chat UI. Fork this pattern and ship your own “council” on a real problem in your domain. Repo: https://lnkd.in/ghj4hjJ2

28

5 Comments

Curious how the Bank of England is approaching emerging technology? We just published our strategy: The BoE’s Approach to Innovation in AI, DLT & Quantum Computing. It details how we’re supporting the safe and effective use of emerging technologies to encourage responsible innovation, drive economic growth, and enhance the resilience and competitiveness of the UK financial sector. It sets out our strategy for supporting responsible adoption of AI, our approach to distributed ledger technology (DLT) in areas like payments and settlement, and our early thinking on quantum computing’s implications for cybersecurity and financial stability. We want to hear your thoughts—what innovations do you see shaping the future of finance? #AI #DLT #QuantumComputing #FinTech #Innovation #CentralBanking #DigitalFinance #FutureOfFinance #BoE #TechPolicy #FinancialStability

145

4 Comments

As a leading UK research institute in applied mathematics, the Institute for Mathematical Innovation adds value and impact to research by creating interdisciplinary connections through modelling, data science and machine learning. But while IMI research spans themes such as environmental extremes and quantum technologies, its healthcare work is making a tangible impact. #ResearchWithImpact #UniversityOfBath #Mathematcs #Research #Health #machinelearning #datascience Beate Ehrhardt Laura Oporto Lisboa Richie Gill Dan Burrows, PhD Caroline Ang

51

1 Comment

EVEN if {insert your favourite LLM} did achieve AGI, how would we universally, reliably test it? does AGI mean reliably repeating what we already know or discovering net new knowledge? which again begs the question 'how would we test it?' my personal take is that llm providers have to differentiate to sell and we must not be guillible and excercise critical thinking.

21

4 Comments