There’s something reassuring about leaders who read. It demonstrates capacity to dive into details and grasp nuances. This is the reading list of Singapore’s DPM @LawrenceWongST posted on Instagram. A great mix of Tech, Economics, startups and other relevant topics.
INNOVATION
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NLP Research Direction Practical Applications Focus
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I fully agree on my side but there is also an entire part of the NLP research community which is of the opinion that thinking in terms of practical applications is the only way to have a sensible direction and reason for why we are building what we build
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Infrastructure Role in AI Systems Questioned
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why “is shifting from” – has this not basically always been the case? that is the job of infra
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AWS Commits Water Positive Goals by 2030 Through NGO Partnerships
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At #reInvent @awscloud committed to being #water + by 2030 – here's #BehindTheScenes on replenishment projects in #India #SouthAfrica & #Brazil – by @wateraid & other #NGO 's in partnership with #AWS http://
bit.ly/waterSDGS #SDGs #TechForGood #partner @IWAHQ #photography -
Future-Ready Workplace: Tech Innovation Meets Sustainability Design
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The #insights series is live! @ATTBusiness My #POV – A #future Ready #workplace https://
bit.ly/workevolve From #tech #innovation to #Wellbeing & #Sustainability by #design #5G #IoT @baski_LA #Cloud #AI @mikeflache @MatthewSekol #ATTInfluencer @danfiehn @andi_staub @Shi4Tech -
Fabio Moioli impressionné par le playground OpenAI
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It's a while that I use #OpenAI's beta playground and I must say it is truly impressive
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ChatGPT took 5 days to accomplish task
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it took #ChatGPT 5 days https://
linkedin.com/posts/fabiomoi
oli_chatgpt-dalle-chatgpt-activity-7006915931289317377-2th6?utm_source=share&utm_medium=member_desktop
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Rethinking Long-term ML Benchmarks and Canonical NLP Applications
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kinda question the value of building long term « tracks » over the years in ML venues. A related thought i have is that « canonical » NLP applications (eg summarization) are maybe actually not what users really want or need and were just progressively crystallized over the years
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Deep Learning Breakthroughs Make Research Agendas Obsolete Quickly
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Maybe one of the most bitter lesson for researchers in DL/ML: an entire research agenda can be rendered moot in a matter of weeks
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Google Researchers Present AI Projects at EMNLP2022
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Attending #EMNLP2022 this year? Stop by the Google booth where you can chat with researchers, attend a demo or Q&A session, and learn about some of the many projects our researchers are presenting throughout the conference. https://
goo.gle/3VVsjQG