Gyri Reiersen

Climate activist, founder, and CPO of @tanso_tech🌱 Passionate about climate action and AI.

[Gyri Reiersen @GyriReiersen]

@JoelHainzl Cool use cases Joël! Can also recommend the LinkedIn connections download or API to burn less browser tolkens - Claude makes a good data analyst of your personal network.

[Brett Adcock @adcock_brett]

Another huge week of AI and robotics news.

So, I summarized everything from Microsoft, Google, Meta, Perplexity, HeyGen, Chai Discovery, Replit, LimX Dynamics, K-Scale Labs, DJI, Cursor, Sakana AI, and more.

Here's everything you need to know and how to make sense out of it:

[Dr. Robert Rohde @RARohde]

Keeping global warming below 1.5 °C is clearly dead.

Delegates are now talking about overshoot scenarios, where we pass 1.5 °C temporarily and then claw our way back. Not very likely.

https://t.co/NcpjbUH2wC

6/

[Ember @ember_energy]

NEW | 🇪🇺 The EU’s power sector has undergone an enormous shift since the current EU Commission took office in December 2019.

New wind and solar capacity have boosted renewable generation enough to cut EU fossil power by a fifth.

https://t.co/qZC452FYeF

[Ed Hawkins @ed_hawkins]

The last 12 months have seen global temperatures at 1.63°C above pre-industrial levels, according to @CopernicusECMWF.
May 2024 was the 12th consecutive month for which the global average temperature reached a record value for the corresponding month, based on ERA5 data.

[Marc Klingen @marcklingen]

Proud to launch 🪢 @langfuse today – open-source product analytics for LLM apps!

We help teams building with LLMs turn production data into insight. Quick overview: 1/x

[Ajit Niranjan @NiranjanAjit]

the world's top scientists have written a landmark report about climate change and 195 countries just signed off on a summary that lays out surprisingly clearly what must happen to fossil fuels to keep us safe 1/

[Jason Hickel @jasonhickel]

This image from today's IPCC synthesis report is brutal. The existing policy trajectory represents a profound failure of our governments, and of our international political system. We need much more aggressive mitigation and much stronger international cooperation.

[Packy McCormick @packyM]

Using the break to go deep on a few categories. Climate/Energy is one of them.

What are the best essays/books/papers/podcasts for overviews or deep dives into specific topics? And who are the best writers / people to follow?

Will compile into an Airtable and share in 2023.

[Gibson Biddle @gibsonbiddle]

1. How to define your product strategy. When I start a new job, I define a SWAG (Stupid Wild-Ass Guess) product strategy within my first two weeks. Here's my approach...

[Gyri Reiersen @GyriReiersen]

@KarolinaEklow @climateactiontr @WRIClimate @UNEP @IEA @TheLancet @IISD_news @UNFCCC @WMO You are a hero @KarolinaEklow 🦸🏼‍♀️

[Karolina @KarolinaEklow]

No time to track new reports for #COP27?

📙 @climateactiontr State of the Climate
📕 @WRIClimate 2 'State of' Reports
📘 @UNEP Emissions Gap Report
📙 @IEA World Energy Outlook
📘 @TheLancet Countdown
📙 @IISD_news Mapping 1.5
📗 @UNFCCC Synthesis
📕 @WMO GHG Bulletin

[Björn Lütjens 🌍 @bjornlutjens]

Here's a list of MIT faculty at the intersection of AI and Climate Change

https://t.co/QW0JNpBl8S

Please share with any applying (under-)graduate, postdoc, faculty, etc. :))

@eapsMIT @MITPortugal @jwafs_mit @MIT_CSAIL @MIT_CSAIL @mit_esi @TILclimate
#MachineLearning #Climate

[Gyri Reiersen @GyriReiersen]

@lennysan Amazing!! thanks 🙏

[Lenny Rachitsky @lennysan]

Congrats to @gyrireiersen for winning the grand prize for the first ever podcast book giveaway!

More giveaways to come 🥳

[Robin Cole @robmarkcole]

Dataset discovery: ReforesTree is a dataset for estimating tropical forest biomass based on drone and field data
https://t.co/ipoFAcbHwU

[Gyri Reiersen @GyriReiersen]

@mkruz Could you like to add @tanso_tech and https://t.co/5Ys3OVnMSB to the list?

[Deb Raji @rajiinio]

ICYMI: Twitter conducted one of the largest platform audits ever (randomized trial on 58 million users) to assess "political bias" of their algorithm. In 6 of 7 countries, "the mainstream political right enjoys higher algorithmic amplification than the mainstream political left."

[Santiago @svpino]

Free, Machine Learning Crash Course from @BerkeleyML.

No registration, no bullshit.

Just go to the site, and start learning from the very beginning!

https://t.co/BIdaJGWDTp