@FiveAllian88212@davidchalmers42 This is an interesting idea and there seems to be some overlap with my thoughts and experiences when discussing with Sonnet 4.6. I blogged about this for example here: https://t.co/tcHJnvMiTe. 'The seedling doesn't grow without the right soil'.
This is wild.
143 million people thought they were catching Pokémon. They were actually building one of the largest real-world visual datasets in AI history.
Niantic just disclosed that photos and AR scans collected through Pokémon Go have produced a dataset of over 30 billion real-world images. The company is now using that data to power visual navigation AI for delivery robots.
Players didn't just walk around with their phones. They scanned landmarks, storefronts, parks, and sidewalks from every angle, at every time of day, in lighting and weather conditions that staged photography would never capture. They documented the physical world at a scale no mapping company with a fleet of vehicles could have replicated on the same timeline or budget.
Niantic collected this systematically, data point by data point, across eight years, while users thought the only thing at stake was catching a rare Charizard.
The most valuable AI training datasets in the world aren't being assembled in data centers. They're being built by people who have no idea they're building them.
Thoroughly enjoyed discussing #LLM evaluation and some of the context around it with @JonKrohnLearns - from leaderboards to further processing of data points collected via LLM evaluations. Be sure to tune in to find out more!
Llamas, Alpacas, Koalas, Falcons... there is a veritable zoo of LLMs out there! In today's episode, @c__constantine breaks down the LLM Leaderboards and evaluation benchmarks to help you pick the right LLM for your use case.
Watch here: https://t.co/SrC12LBfYs
Re-live the 2023 New York R Conference - talk recordings & recap blog are now available!
Check them out: https://t.co/kvuXIUUCEg
#rstatsnyc | #rstats
🚨NEXT WEEK IS NYR! Grab your tix before it's too late.
Join us on July 13-14 for two days of R-filled fun!
We also offer workshops on July 11-12 to sharpen up your skills!
🎫 Info & tickets at https://t.co/WsNnnQipB8
#rstatsnyc | #rstats
Delighted to have been recognised as a #Changemaker by @globallogicUK_I following my data design work on #Sustainability and ESG reporting! I am so lucky to have had the opportunity to work on this in the first place, esp with such a talented team at GL & @method_inc !💚🌍
It’s a scientist’s job to form opinions reluctantly, which is the best reason for assuming that they’re worth listening to.
Too many of the other popular reasons are misplaced reverence.
📝 Last chance to apply for the Diversity & Inclusion Scholarship for the NYR Conference! We are committed to fostering & supporting people of color & underrepresented minorities in the data science community.
Apply by June 4th: https://t.co/HR7Vgund6M
#rstatnyc | #rstats
Do see decarbonisation as a challenge or an opportunity for design innovation? 💡
Well our team at @method_inc see it as an opportunity. They will be kickstarting this conversation with Claire Rowland on Jan 25th, in London, & you're invited!
Register:
https://t.co/Cra5qjMpll
Second day of the Global Gathering if well underway!
This where our colleagues get together for 3 days of knowledge sharing & team building sessions. From talks on testing, VUI and CUI design, to Sustainable Coding Challenge.
Stay tuned for more fun
Trouble navigating all the interactive tool options for your web app framework?
Caterina to the rescue!
She compared app frameworks by building the same solution across: Shiny, Streamlit, Dash & Gradio, so you can find the right one for your project!
https://t.co/Amtk318UWl