kshitizkhanal.com
Author of the Public Interest AI/ML newsletter. https://public-interest-ai.beehiiv.com
The conclusions mirror my (and many other practitioners') conclusions: if you use AI critically and engage both with the question and the answer, it has a net positive impact on both learning and productivity
The conclusions mirror my (and many other practitioners') conclusions: if you use AI critically and engage both with the question and the answer, it has a net positive impact on both learning and productivity
this one should be easier to read, more diagrams and easy to navigate text
timkellogg.me/blog/2026/01...
this one should be easier to read, more diagrams and easy to navigate text
timkellogg.me/blog/2026/01...
imo this snip right here is the distilled form of the difference between Clawedbot vs the agents @cameron.stream would have us build
www.appliedaiformops.com/p/what-build...
imo this snip right here is the distilled form of the difference between Clawedbot vs the agents @cameron.stream would have us build
www.appliedaiformops.com/p/what-build...
simonwillison.net/2026/Jan/27/...
simonwillison.net/2026/Jan/27/...
You can now see the previously unreleased data that powers our groundbreaking tool.
You can now see the previously unreleased data that powers our groundbreaking tool.
deepmind.google/blog/machine...
I would hate to think that all the value we created for renewables was just captured by crypto minors.
deepmind.google/blog/machine...
I would hate to think that all the value we created for renewables was just captured by crypto minors.
I’ll be sharing some of our work on using extreme event attribution information to support resilience planning (ams.confex.com/ams/106ANNUA...).
If you are at #AMS2026, be sure to reach out!
I’ll be sharing some of our work on using extreme event attribution information to support resilience planning (ams.confex.com/ams/106ANNUA...).
If you are at #AMS2026, be sure to reach out!
Paper: ViDoRe V3: A Comprehensive Evaluation of Retrieval Augmented Generation in Complex Real-World Scenarios ( arxiv.org/abs/2601.08620 )
Repo: huggingface.co/vidore
Paper: ViDoRe V3: A Comprehensive Evaluation of Retrieval Augmented Generation in Complex Real-World Scenarios ( arxiv.org/abs/2601.08620 )
Repo: huggingface.co/vidore
MIT researchers developed a way to identify the smallest dataset that guarantees optimal solutions to complex problems.
Paper: What Data Enables Optimal Decisions? An Exact Characterization for Linear Optimization
( arxiv.org/abs/2505.21692 )
Blog:
MIT researchers developed a way to identify the smallest dataset that guarantees optimal solutions to complex problems.
Paper: What Data Enables Optimal Decisions? An Exact Characterization for Linear Optimization
( arxiv.org/abs/2505.21692 )
Blog:
This opens up practical questions on reasoning/memory/discovery, and also poses a theoretical "memorization puzzle."
This opens up practical questions on reasoning/memory/discovery, and also poses a theoretical "memorization puzzle."
Image credit: Beckett LeClair / betterimagesofai.org / CC BY 4.0
Image credit: Beckett LeClair / betterimagesofai.org / CC BY 4.0
Timelapse plugin:
QGIS: plugins.qgis.org/plugins/time...
GitHub: github.com/opengeos/qgi...
Timelapse plugin:
QGIS: plugins.qgis.org/plugins/time...
GitHub: github.com/opengeos/qgi...