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#productivity

32 innlegg29 deltakere3 innlegg i dag
BSM (sw.s) 🇨🇭

Für alle, die sich mit #Notion, #Obsidian, #AppFlowy oder ähnlichem beschäftigen/abmühen: versucht es doch einfach mal mit #Anytype (vlt. in Kombination mit #Joplin).

Anytype ist echt eine Wucht, was es alles kann. Ja, die Lernkurve ist etwas steiler als vielleicht sonst so, aber „Hut ab“ vor den Entwicklern und der Community für dieses tolle Werkzeug.

- anytype.io
- joplinapp.org

anytype.ioanytype — the everything appfor those who celebrate trust & autonomy.
#md#markdown#productivity
Wessel Vermeulen

📢 #Internship opportunity at the #OECD Trento Centre - Spatial Productivity lab

Start date: September-October 2025
Length: at least 3 months

Apply if you have advanced quantitative skills, like to code in #R #rstats and/or #Stata and are interested to do quantitative work for policy focused projects and research on #regional #productivity, and regional economic transformations. #economy

🚨 Deadline for applications is 20 July 2025

More details: linkedin.com/posts/wessel-verm

www.linkedin.com📢 Internship opportunity at the #OECD Trento Centre - Spatial Productivity lab | Wessel Vermeulen📢 Internship opportunity at the #OECD Trento Centre - Spatial Productivity lab Start date: September-October 2025 Length: at least 3 months Apply if you have advanced quantitative skills, like to code in #R and/or #Stata and are interested to do quantitative work for policy focused projects and research on #regional #productivity, and regional economic transformations. Most of our previous interns were doing a PhD in (applied) economics, but we're open for people with similar skills doing their Master or in an a different field, e.g. data science, sociology, or public policy. The internship comes with a monetary support for living expenses, independent of whether the work takes places full-time or part-time at our Trento Centre. See the attached document for details, eligibility requirements and application process. 🚨 Deadline for applications is 20 July 2025 cc. Carlo Menon, Zuzana Zavarska, Alessandra Proto, Katerina Ciampi Stancova, PhD, Cem Özgüzel, Lukas Kleine-Rueschkamp, Lars Ludolph, Alexander Lembcke,
Holger Hellinger

A 2025 METR study found that experienced open-source devs were 19% slower using AI tools like Claude 3.5/3.7, despite expecting a 24% speed boost. Reasons: overtrust in AI, complex repos, and AI missing context. AI felt helpful but wasn’t. The effect may differ for less-experienced devs or simpler tasks. Better tools or workflows could change results.

metr.org/blog/2025-07-10-early

metr.orgMeasuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity
#ai#productivity
Miguel Afonso Caetano

Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity

Joel Becker, Nate Rush, Beth Barnes, David Rein

Model Evaluation & Threat Research (METR)

"Despite widespread adoption, the impact of AI tools on software development in the wild remains understudied. We conduct a randomized controlled trial (RCT) to understand how AI tools at the February–June 2025 frontier affect the productivity of experienced open-source developers. 16 developers with moderate AI experience complete 246 tasks in mature projects on which they have an average of 5 years of prior experience. Each task is randomly assigned to allow or disallow usage of early-2025 AI tools. When AI tools are allowed, developers primarily use Cursor Pro, a popular code editor, and Claude 3.5/3.7 Sonnet. Before starting tasks, developers forecast that allowing AI will reduce completion time by 24%. After completing the study, developers estimate that allowing AI reduced completion time by 20%. Surprisingly, we find that allowing AI actually increases completion time by 19%—AI tooling slowed developers down. This slowdown also contradicts predictions from experts in economics (39% shorter) and ML (38% shorter). To understand this result, we collect and evaluate evidence for 20 properties of our setting that a priori could contribute to the observed slowdown effect—for example, the size and quality standards of projects, or prior developer experience with AI tooling. Although the influence of experimental artifacts cannot be entirely ruled out, the robustness of the slowdown effect across our analyses suggests it is unlikely to primarily be a function of our experimental design."

metr.org/Early_2025_AI_Experie

#AI#GenerativeAI#OpenSource
Jon Henshaw

One of the most satisfying things I've done in the past couple of years is create the writing and notes tool I've always wanted. The screenshot is me using it today to write a book review for Digital Minimalism.

The notes UX I wanted didn't exist anywhere, so I made it myself. It's called @recollect, and although it's still in development, it's stable and I use it daily for everything.

It's also free for anyone to use if you want to try it out at recollect.fyi/

#WebDev#Productivity
MrsNo1Special

In 2023, a major U.S. city’s police department suffered a crippling cyberattack. Dispatch systems froze. Records became inaccessible. Court cases were delayed for weeks. It wasn’t a nation-state zero-day or an elaborate ransomware scheme. The entry point? A vulnerability in a public-facing application —...

medium.com/readers-club/the-ps

Readers Club · The Psychology of Patching: Why We Still Don’t UpdateAv MrsNo1Special
#philosophy#machinelearning#storytelling
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