don't pin news just use the latest one

Author: penelopeysm

index.qmd

@@ -12,8 +12,6 @@ listing:
     template: _includes/card-listing.ejs
     sort: "date desc"
     max-items: 6
-    include:
-      on_landing: true
   - id: featured-tutorials
     contents: 
       - "./_includes/featured-tutorials.yml"

news/posts/2019-12-14-initial-post/index.qmd

@@ -11,7 +11,6 @@ author:
     affiliation: 
       - name: University of Oregon
 date: 12/14/2019
-on_landing: true
 ---
 
 All good open source projects should have a blog, and Turing is one such project. Later on, members of the Turing team may be populating this feed with posts on topics like
@@ -22,4 +21,4 @@ All good open source projects should have a blog, and Turing is one such project
 - Explorations of Turing's internals.
 - Updates to Turing's satellite projects [AdvancedHMC.jl](https://github.com/TuringLang/AdvancedHMC.jl) or [Bijectors.jl](https://github.com/TuringLang/Bijectors.jl).
 
-Stay tuned!
+Stay tuned!

news/posts/2020-05-04-Imperial-Report13-analysis/index.qmd

@@ -45,7 +45,6 @@ include-in-header:
   - text: |
       <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
 resources: data/*
-on_landing: true
 ---
 
 The Turing.jl team is currently exploring possibilities in an attempt to help with the ongoing SARS-CoV-2 crisis. As preparation for this and to get our feet wet, we decided to perform a replication study of the [Imperial Report 13](https://www.imperial.ac.uk/mrc-global-infectious-disease-analysis/covid-19/report-13-europe-npi-impact/), which attempts to estimate the real number of infections and impact of non-pharmaceutical interventions on COVID-19. In the report, the inference was performed using the probabilistic programming language (PPL) Stan. We have explicated their model and inference in Turing.jl, a Julia-based PPL. We believe the results and analysis of our study are relevant for the public, and for other researchers who are actively working on epidemiological models. To that end, our implementation and results are available [here](https://github.com/cambridge-mlg/Covid19).
@@ -106,4 +105,4 @@ This will result in a plethora of different models from which we can select the
 Such model refinement can be potentially valuable given the high impact of this pandemic and the uncertainty and debates in the potential outcomes.
 
 **Acknowledgement** *We would like to thank the Julia community for creating such an excellent platform for scientific computing, and for the continuous feedback that we have received. We also thank researchers from Computational and Biological Laboratory at Cambridge University for their feedback on an early version of the post.*
-<!----- Footnotes ----->
+<!----- Footnotes ----->

news/posts/2022-02-17-gsoc/index.qmd

@@ -13,7 +13,6 @@ author:
   - name: the TuringLang team
     url: /team/
 date: 02/17/2022
-on_landing: true
 ---
 
 It is another year of the [Google Summer of Code](https://summerofcode.withgoogle.com/) time, and we have compiled an updated list of exciting Turing projects!
@@ -125,4 +124,4 @@ Adding [approximate inference](https://github.com/JuliaGaussianProcesses/JuliaGa
 **Project length**: 350 hrs
 
 **Description**: 
-This would involve first ensuring that common models are able to run fully on the GPU, then identifying and improving GPU-specific performance bottlenecks. This would begin by implementing a limited end-to-end example involving a GP with a standard kernel, and profiling it to debug any substantial performance bottlenecks. From there, support for a wider range of the functionality available in KernelFunctions.jl and AbstractGPs.jl can be added. Stretch goal: extension of GPU support to some functionality in ApproximateGPs.jl.
+This would involve first ensuring that common models are able to run fully on the GPU, then identifying and improving GPU-specific performance bottlenecks. This would begin by implementing a limited end-to-end example involving a GP with a standard kernel, and profiling it to debug any substantial performance bottlenecks. From there, support for a wider range of the functionality available in KernelFunctions.jl and AbstractGPs.jl can be added. Stretch goal: extension of GPU support to some functionality in ApproximateGPs.jl.

news/posts/2025-06-20-newsletter-9/index.qmd

@@ -7,7 +7,6 @@ author:
   - name: The TuringLang team
     url: /team/
 date: 2025-06-20
-on_landing: true
 ---
 
 **Google Summer of Code**

news/posts/2025-07-11-newsletter-10/index.qmd

@@ -7,7 +7,6 @@ author:
   - name: The TuringLang team
     url: /team/
 date: 2025-07-11
-on_landing: true
 ---
 
 **LKJCholesky**