Paul Rougieux @paulrougieux

Nice satire of the degrowth arguments: "Degrowth would leave the world poor, miserable and polluted."

John Stossel @JohnStossel

2 months ago

Nice satire of the degrowth arguments: "Degrowth would leave the world poor, miserable and polluted."

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Considering that muffin tops are the best part, it occurs to me that in zero gravity on the ISS, you could bake spherical muffins that are “all top” by just floating a ball of dough in the oven with no pan.

Remember the @guardian claiming #rainforest @VerraStandards #carbon credits are worthless? Read our eLetter response to the original @ScienceMagazine article science.org/doi/full/10.11… @hughagraham @AndyC_UoE @BurslemDavidFRP @lsanzcruz @EdMitchard #COP28 1/13

The Driver is doing the typing and can focus on small details. The Navigator keeps an eye on the landscape and can focus on the big picture. It combines two styles of thinking: The Driver can do "tactical thinking", while the Navigator can focus more on "strategic thinking".

Remote Pair Programming Good Practices: A Thread. Found the slides of a presentation that @qcoding and I gave to the entire CTO Org at Amex two years ago when we were both there. Thought it had a lot of great stuff that could still be useful to others. Why not share? 🧵

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Today we (@EU_ScienceHub) launched the EU Observatory on Deforestation and Forest Degradation, which contains data and indicators on global forests and on the production and trade of products and forest risk commodities. Available here 👇 forest-observatory.ec.europa.eu

How drum sticks are made 🥁

and here how to access the tool: pypi.org/project/biotra…

biotrade: a new Python package by @paulrougieux et al., @EU_ScienceHub to access and analyse the international trade flows of bio-based products and production data from @UNTradeStats and @FAOstatistics here is the article 👇 joss.theoj.org/papers/10.2110…

Questions on public fora are also an important source of feedback for software creators about where users are getting confused or running up against limitations. A closed loop with Bard or ChatGPT is maybe better for them in the short term, but what about over time?

Like, I think it’s cool that GPT seems to know a lot about seaborn, and also really annoying that it knows nothing about improvements I’ve worked hard to introduce in the past two years.

Professor Kevin Anderson is addressing all of us in very clear words: »We are heading towards 3 to 4°C of warming across this century, an absolute climate catastrophe for all species incl our own. And all we are doing so far is giving rhetoric and optimism and greenwash.« 🧵1/8

realpython.com/chatgpt-coding… "you can improve your results significantly when you put some more consideration into how you write the prompts." Links to an online course on prompt engineering. In particular to the page on role prompting learnprompting.org/docs/basics/ro…

betterprogramming.pub/10-tips-for-im… mentions how to engineer prompts and how to instruct ChatGPT to become a specific character.

scienceknowings.com/expert-tips-fo… . In addition you can also paste error messages (such as a python stack trace) in Chat GPT to get suggestions on how to correct the output.

11 tips for using ChatGPT to help you with coding ricksdailytips.com/using-chatgpt-… asking it to write test is a nice tip. For fun, you can also write a test yourself and ask ChatGPT to write code that passes the test.

Looking at the current rates of coupling between GDP and carbon, the only way of reaching that objective would be to degrow GDP by between -1 and -2% per year.