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A very interesting interview....

#OpenAI CPO #KevinWeil on the Future of #AI

Summary:

🛠️ #ProductManagement at #OpenAI: Kevin Weil discusses differences in product management compared to other companies, highlighting that AI advancements make product development more dynamic and unpredictable.

🌍 AI's Rapid Evolution: #AI technology evolves faster than ever, with computers gaining new capabilities monthly, which requires adaptability and quick decision-making in #productstrategy.

💡 #Distillation and #CostReduction: Distillation is a key innovation that allows AI models to be optimized for specific tasks, significantly reducing costs (99% cost reduction since #GPT3).

🧠 Advanced Reasoning with #01Model: The 01 model introduces advanced reasoning capabilities, enabling AI to hypothesize and refine its thinking, which is particularly effective in fields like #science and #mathematics.

Insights Based on Numbers:

99% cost reduction in two years: The evolution from #GPT3 to #GPT4 models shows a dramatic decrease in cost, making AI more accessible and practical for diverse applications.

More than 3 million developers using OpenAI: This showcases the wide adoption of OpenAI's tools and the potential impact of AI across industries.

youtu.be/VsmEMUiPXIs?si=rkB7_E

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My latest research paper on Assessing the Costs of Commercialising Tidal Energy in the UK is now online

We investigated the amount of market suppport needed for #TidalEnergy, on the premis that cost reductions with increasing deployment happen similarly to other renewabe tecnologies.

doi.org/10.3390/en17092085

MDPIAssessing the Costs of Commercialising Tidal Energy in the UKThere is a need for increased renewable energy to meet net-zero targets and decarbonise the economy. Harnessing the predictable power of the tides with tidal stream turbines can contribute to this. Tidal energy is a nascent technology with higher costs at present. However, cost reductions have been observed with an increased deployment in other renewable energy technologies that have received financial support, and it is postulated that similar will happen with tidal energy. The first tidal stream projects have been awarded market support in the UK through the Contracts for Difference (CfD) scheme, with almost 100 MW expected to be commissioned by 2028. This work uses learning rates to investigate how much investment in ongoing market support might be needed to achieve cost reductions through subsidised deployment alongside research and innovation. Using a range of informed ‘what if?’ scenarios, it shows sensitivity to key inputs. The results show that the support needed is most sensitive to the learning rate, reducing it from 15% to 12.5% or 10% doubles or more than quadruples the investment required, respectively. The support is also highly dependent on the starting cost from which learning occurs, taken as the CfD Strike Price in 2025. Varying this between 156 and 220 GBP/MWh results in total investment of GBP 6.7 and 22.3 bn, respectively. Most importantly, a balance is needed between subsidising deployment to drive down costs through learning and funding innovation to maintain a high learning rate.