Tootfinder

NFL Week 7 takeaways: What We Learned from Sunday's 12 games https://www.nfl.com/news/nfl-week-7-takeaways-what-we-learned-from-sunday-s-12-games

Buccaneers-Lions on 'Monday Night Football': What We Learned from Detroit's 24-9 win https://www.nfl.com/news/buccaneers-lions-on-monday-night-football-what-we-learned-from-detroit-s-24-9-win

Matt Eberflus 'grateful' for experience as Bears HC, lessons he learned https://www.dallascowboys.com/news/matt-eberflus-grateful-for-experience-as-bears-hc-lessons-he-learned

The Chiefs Have Their Swagger Back, and What Else We're Learning in Week 7 https://www.foxsports.com/stories/nfl/what-we-learned-week-7-eagles-vikings-colts-chargers-commanders-cowboys

11.200.000
https://noc.social/@todayilearned/115402333467313338

Texans-Seahawks on 'Monday Night Football': What We Learned from Seattle's 27-19 win over Houston https://www.nfl.com/news/texans-seahawks-on-monday-night-football-what-we-learned-from-seattle-s-27-19-win-over-hous…

Doppel, which makes an AI social engineering detection service, raised a $70M Series C led by Bessemer at a $600M valuation, up from $205M in May (Allie Garfinkle/Fortune)
https://fortune.com/2025/11/19/exclusi

Exclusive: Doppel raises $70 million Series C at more than $600 million valuation to fight AI-powered social engineering attacks
Bessemer-backed Doppel has raised its $70 million Series C, valuing the company at $600 million, Fortune has exclusively learned.

Quantifying How Much Has Been Learned from a Research Study
Jonas M. Mikhaeil, Donald P. Green
https://arxiv.org/abs/2508.14789 https://arxiv.org/pdf/2508.…

Quantifying How Much Has Been Learned from a Research Study
How much does a research study contribute to a scientific literature? We propose a learning metric to quantify how much a research community learns from a given study. To do so, we adopt a Bayesian perspective and assess changes in the community's beliefs once updated with a new study's evidence. We recommend the Wasserstein-2 distance as a way to describe how the research community's prior beliefs change to incorporate a study's findings. We illustrate this approach through stylized examples a…

Yesterday, I learned that Martin Volk, Professor of Computational Linguistics at UZH, passed away on Monday, September 15, at the age of 64. What devastating news 😢
#nlproc #RIP

Simplifying #Code: migrating from Reactive to VirtualThreads
https://scalex.dev/blog/simplifying-code-journey-from-reactive-to-virtual-threads/

Heh.
Cute.
https://noc.social/@todayilearned/115583173560349082

Today I learned (@todayilearned@noc.social)
Attached: 1 image TIL that the Nuremberg Charter's definition of "crimes against humanity", which was used in the Nuremberg Trials, includes only acts committed during a war of aggression. This was partly because the US was concerned that Jim Crow segregation would otherwise be considered a crime against humanity https://en.wikipedia.org/wiki/Nuremberg_trials#Nuremberg_charter #til #todayilearned https://www.reddit.com/r/todayilearned/comments/1p27n3t/til_that_the_nuremberg_charters_definitio…

Today I learned that privateers and piracy led to the founding of two of Canada’s largest banks. Somehow not surprising....

I have learned that the Spices I smell are a harbinger of spaghetti and meatballs

#TuneTuesday (Oct 21)
I recently learned that #JessicaSanchez, the latest winner of #AGT several weeks ago, gave birth to her first child last week. To celebrate this blessing, here’s “Tonight”, her co…

A Distributed Learned Hash Table
Shengze Wang, Yi Liu, Xiaoxue Zhang, Liting Hu, Chen Qian
https://arxiv.org/abs/2508.14239 https://arxiv.org/pdf/2508.1423…

A Distributed Learned Hash Table
Distributed Hash Tables (DHTs) are pivotal in numerous high-impact key-value applications built on distributed networked systems, offering a decentralized architecture that avoids single points of failure and improves data availability. Despite their widespread utility, DHTs face substantial challenges in handling range queries, which are crucial for applications such as LLM serving, distributed storage, databases, content delivery networks, and blockchains. To address this limitation, we prese…

Every now and then I assign something that sounds great but that just doesn't work. Sometimes this involves students just not getting it and submitting work that's wide of the mark. Sometimes, though, students produce fine work but, because I didn't do a great job designing it, the assignment is virtually impossible to grade. That's what happened this time. Everyone did the work and I can tell they learned something, but the results are all over the place. High marks for all,…

Matt Eberflus 'grateful' for experience as Bears HC, lessons he learned https://www.dallascowboys.com/news/matt-eberflus-grateful-for-experience-as-bears-hc-lessons-he-learned

🐟 As west end properties change hands, Kelly’s Dockside Cafe will close this fall
#ithaca

As west end properties change hands, Kelly's Dockside Kafe will close this fall • 14850 Dining
There aren’t many restaurants that last 50 years, let alone under a single owner, and this week, 14850 Dining has learned that Kelly's Dockside Kafe will close next month, a little over a year after the building and business were listed for sale. [...]

An Exploratory Study on Abstract Images and Visual Representations Learned from Them
Haotian Li, Jianbo Jiao
https://arxiv.org/abs/2509.14149 https://arxiv…

An Exploratory Study on Abstract Images and Visual Representations Learned from Them
Imagine living in a world composed solely of primitive shapes, could you still recognise familiar objects? Recent studies have shown that abstract images-constructed by primitive shapes-can indeed convey visual semantic information to deep learning models. However, representations obtained from such images often fall short compared to those derived from traditional raster images. In this paper, we study the reasons behind this performance gap and investigate how much high-level semantic content…

What We Learned from the Raiders' MNF Loss to Cowboys https://www.si.com/nfl/raiders/onsi/las-vegas-what-we-learned-from-mnf-loss-cowboys

#encryption

Finally #3dprinting again. Had some hotend nozzle clogging and learned about different methods to overcome that. Turns out 'cold pull' is best. Now only 2.5 more hours to go. ;)

I just learned that Martin Volk has recently passed.
#UZH

I just learned that Martin Volk has recently passed.
#UZH

Looks like #inaturalist has released an update on their misguided "AI" efforts: Beyond their preliminary results being underwhelming they don't seem to really have learned from the criticism they got.
"People at the Center", "Openness with Care" etc. are all empty words if the results are preordained with zero control by their "community". Their "environmental impact assessment" is also disingenuous, counting their prompt-fondling but not the training…
#citizenscience

I wonder what inspired TIL to post this today.
https://noc.social/@todayilearned/115232287275687330

Today I learned (@todayilearned@noc.social)
Attached: 1 image TIL that Palpatine being a ruthless politician dismantling a democracy to achieve supreme power was inspired by real life examples of democratic backsliding. Nixon’s presidency got Lucas to thinking about how democracies turned into dictatorships: “Democracies aren't overthrown; they're given away“. https://en.wikipedia.org/wiki/Palpatine #til #todayilearned https://www.reddit.com/r/todayilearned/comments/1nlamby/til_that_palpatine_being_a_ruthless_politician/

Very interesting. "Critical Weapons Development Lessons From Ukraine Are Not Being Learned By The West. An American defense investor in Ukraine offers exclusive insights on Kyiv's grassroots military buildup and the velocity of its weapons development."
https://www.

Critical Weapons Development Lessons From Ukraine Are Not Being Learned By The West
An American defense investor in Ukraine offers exclusive insights on Kyiv's grassroots military buildup and the velocity of its weapons development.

Thanks to @… at #swib25, today I learned the source of the "#Standards are made by the people who show up" quote: Dave Cramer (2016),

Dolphins-Bills on 'Thursday Night Football': What We Learned from Buffalo's 31-21 win over Miami https://www.nfl.com/news/dolphins-bills-on-thursday-night-football-what-we-learned-from-buffalo-s-31-21-win-over-miami…

What We Learned from the Raiders' Terrible Outing vs. Chiefs https://www.si.com/nfl/raiders/kansas-city-chiefs-kenny-pickett-las-vegas-pete-carroll

Can art enhance your life? Here’s what I learned from Ali Smith, Tracey Emin, Claudia Winkleman and more https://www.theguardian.com/artanddesign/2025/nov/10/…

What we learned from newly released Epstein emails (Mimi Rocah/The Contrarian)
https://contrarian.substack.com/p/what-we-learned-from-newly-released
http://www.memeorandum.com/251112/p129#a251112p129

Language models' activations linearly encode training-order recency
Dmitrii Krasheninnikov, Richard E. Turner, David Krueger
https://arxiv.org/abs/2509.14223 https://…

Language models' activations linearly encode training-order recency
We show that language models' activations linearly encode when information was learned during training. Our setup involves creating a model with a known training order by sequentially fine-tuning Llama-3.2-1B on six disjoint but otherwise similar datasets about named entities. We find that the average activations of test samples for the six training datasets encode the training order: when projected into a 2D subspace, these centroids are arranged exactly in the order of training and lie on a s…

Teachers that teach the irrelevant: Pre-training machine learned interaction potentials with classical force fields for robust molecular dynamics simulations
Eric C. -Y. Yuan, Teresa Head-Gordon
https://arxiv.org/abs/2509.14205

Teachers that teach the irrelevant: Pre-training machine learned interaction potentials with classical force fields for robust molecular dynamics simulations
Machine learned interaction potentials (MLIPs) have become a critical component of large-scale, high-quality simulations for a range of chemical and biochemical systems. Yet, despite their in-distribution accuracy, molecular dynamics simulations using MLIPs exhibit numerical instabilities due to underlying data insufficiencies when encountering new regions of the potential energy surface. Here we propose a pre-training learning scheme that uses low-quality, practically free, single-molecule non…

Some people say we've not learned from the mistakes of the Nazi era. Unfortunately I think people did learn. But not the thinks we hoped they've learned to turn things for the better for the majority of people.
Instead they learned that if you're complicit with the dictator you will benefit from it. And after the violent removes of the dictator you'll get away with it and continue to profit. Just like we saw with the likes of Degussa, Bertelsmann, Volkswagen and all the…

from my link log —
Mailchimp's Mandrill outage due to PostgreSQL XID wraparound.
https://mailchimp.com/what-we-learned-from-the-recent-mandrill-outage/
saved 2019-04-01

What We Learned from the Recent Mandrill Outage | Mailchimp
Following a recent outage, we committed to sharing what we learned with our customers. The outage began at 05:35 UTC on February 4, and we resolved the issue...

übers Radfahren, v.a. in den Niederlanden.
“Think of it this way: Car drivers behave like a bunch of geese. They have the same distance from each other and fly at the same speed, and move almost in military formation. Cyclists move like a swarm of sparrows. There are thousands of them moving in chaos, but there are no collisions. They turn a little bit; they change their speed. You must do the same.”

MetricNet: Recovering Metric Scale in Generative Navigation Policies
Abhijeet Nayak, D\'ebora N. P. Oliveira, Samiran Gode, Cordelia Schmid, Wolfram Burgard
https://arxiv.org/abs/2509.13965

MetricNet: Recovering Metric Scale in Generative Navigation Policies
Generative navigation policies have made rapid progress in improving end-to-end learned navigation. Despite their promising results, this paradigm has two structural problems. First, the sampled trajectories exist in an abstract, unscaled space without metric grounding. Second, the control strategy discards the full path, instead moving directly towards a single waypoint. This leads to short-sighted and unsafe actions, moving the robot towards obstacles that a complete and correctly scaled path…

What we learned in NFL Week 7: Answering big questions from London, Thursday night games https://www.espn.com/nfl/story/_/id/46606189/nfl-week-7-2025-season-questions-takeaways-lessons-stats-recap-every-game

I REALLY like putting Kerkez on, if for nothing more than the psychological boost. Perhaps a lesson learned from the way Quansah was handled?
#LFC

Why the noise model matters: A performance gap in learned regularization
Sebastian Banert, Christoph Brauer, Dirk Lorenz, Lionel Tondji
https://arxiv.org/abs/2510.12521 https://…

Why the noise model matters: A performance gap in learned regularization
This article addresses the challenge of learning effective regularizers for linear inverse problems. We analyze and compare several types of learned variational regularization against the theoretical benchmark of the optimal affine reconstruction, i.e. the best possible affine linear map for minimizing the mean squared error. It is known that this optimal reconstruction can be achieved using Tikhonov regularization, but this requires precise knowledge of the noise covariance to properly weight …

It’s absolutely worth contributing your time in this way to #Drupal. From experience, I guarantee you will learn so much. https://drupal.community/@ultimike/115219526312278700

Mike Anello (ultimike) (@ultimike@drupal.community)
Attached: 1 image ✅ (usually) difficult ✅ (sometimes) time-consuming ✅ (sometimes) mentally draining Up for the challenge? Join the #drupal Community Working Group. 💪🌟🤝 https://www.drupal.org/community/cwg/blog/join-the-cwg-in-the-ongoing-work-of-calling-in-and-caring-for-community I've been a part of it for more years than I want to remember and I've learned more than I can recount. 🚀

i literally just learned the guy in charge of the ice shit in chicago dresses like the most nazi larper ever lmao

@… @… That site works fine for me. Never even turned their "extra veilig internet" on, to be honest. Also I run pi-hole and skip KPN their DNS servers. Learned to do that back in the day when UPC was hijacking searches

If you’re using CSS Nesting, make sure your minifier supports it!
As I learned today, clean-css doesn’t support it yet: https://github.com/clean-css/clean-css/issues/1254

Today I Learned that Google Docs is very insistent that a/path/to/anything/whatever.json.gz should be rendered as "a/path/to/anything/whatever.json.gz" — turning the literal "whatever.json.gz" at the end of the path into a link to a fake TLD. I'm having to do a lot of "break link" extra clicks while working on a document today and it's quite the waste of my time.
I feel like I must

I have just learned that my toot escaped containment and had been reposted on bluesky (with credit) and is getting a ton of attention there too.
This is really cool, thank you all for so giving my random observation so much attention.
I’ve been enjoying reading the discussions here, apologies that I haven’t had the time to engage with most of you! I try to read every reply I get.

"Just like the crime-ridden, Corbusier-like towers Moses crammed people into when he demolished mixed-use neighborhoods and built highways through them, today’s top-down, concentrated internet is, for many, an unpleasant and harmful place. Its owners are hard to remove, and their interests do not align with ours."
https://www.

We Need To Rewild The Internet 
The internet has become an extractive and fragile monoculture. But we can revitalize it using lessons learned by ecologists.

Leaked letter: WaPo said it fired Karen Attiah for "gross misconduct", including Bluesky posts "about white men in response to the killing of Charlie Kirk" (Oliver Darcy/Status)
https://www.status.news/p/karen-attiah-fired-washington-post-charlie…

Fired By The Post
The Washington Post said it fired Karen Attiah over comments she made about white men in the wake of Charlie Kirk’s death, Status has learned.

Today I learned about the true power of macros...and holy crap, they are awesome. Started back on the Z80 emulator and wondered if there was a way to reference procs in Nim using strings. Did some searching and came across someone who did something very similar and it never crossed my mind to even try this.
#nim

Efficient Learned Image Compression Through Knowledge Distillation
Fabien Allemand, Attilio Fiandrotti, Sumanta Chaudhuri, Alaa Eddine Mazouz
https://arxiv.org/abs/2509.10366 ht…

Efficient Learned Image Compression Through Knowledge Distillation
Learned image compression sits at the intersection of machine learning and image processing. With advances in deep learning, neural network-based compression methods have emerged. In this process, an encoder maps the image to a low-dimensional latent space, which is then quantized, entropy-coded into a binary bitstream, and transmitted to the receiver. At the receiver end, the bitstream is entropy-decoded, and a decoder reconstructs an approximation of the original image. Recent research sugges…

Causal Emergence of Consciousness through Learned Multiscale Neural Dynamics in Mice
Zhipeng Wang, Yingqi Rong, Kaiwei Liu, Mingzhe Yang, Jiang Zhang, Jing He
https://arxiv.org/abs/2509.10891

Causal Emergence of Consciousness through Learned Multiscale Neural Dynamics in Mice
Consciousness spans macroscopic experience and microscopic neuronal activity, yet linking these scales remains challenging. Prevailing theories, such as Integrated Information Theory, focus on a single scale, overlooking how causal power and its dynamics unfold across scales. Progress is constrained by scarce cross-scale data and difficulties in quantifying multiscale causality and dynamics. Here, we present a machine learning framework that infers multiscale causal variables and their dynamics…

AQORA: A Learned Adaptive Query Optimizer for Spark SQL
Jiahao He, Yutao Cui, Cuiping Li, Jikang Jiang, Yuheng Hou, Hong Chen
https://arxiv.org/abs/2510.10580 https://

AQORA: A Learned Adaptive Query Optimizer for Spark SQL
Recent studies have identified two main approaches to improve query optimization: learned query optimization (LQO), which generates or selects better query plans before execution based on models trained in advance, and adaptive query processing (AQP), which adapts the query plan during execution based on statistical feedback collected at runtime. Although both approaches have shown promise, they also face critical limitations. LQO must commit to a fixed plan without access to actual cardinaliti…

Raiders QB Geno Smith says MNF performance 'hard to watch' but he's learned from it https://raiderswire.usatoday.com/story/sports/nfl/raiders/2025/09/17/raiders-qb-geno-sm…

#TuneTuesday (Nov 18)
“Problems” is the first song I heard from the American band Arizona and I took an instant liking to it. And for a song about mental health, it surprisingly sounds cheerful and upbeat. But I guess a bit of positivity can sometimes help when you’re feeling down. 🤗
P.S. I subsequently learned that keyboardist David Labuguen is Filipino-American and I thought that w…

The impact of modeling approaches on controlling safety-critical, highly perturbed systems: the case for data-driven models
Piotr {\L}aszkiewicz, Maria Carvalho, Cl\'audia Soares, Pedro Louren\c{c}o
https://arxiv.org/abs/2509.13531

The impact of modeling approaches on controlling safety-critical, highly perturbed systems: the case for data-driven models
This paper evaluates the impact of three system models on the reference trajectory tracking error of the LQR optimal controller, in the challenging problem of guidance and control of the state of a system under strong perturbations and reconfiguration. We compared a smooth Linear Time Variant system learned from data (DD-LTV) with state of the art Linear Time Variant (LTV) system identification methods, showing its superiority in the task of state propagation. Moreover, we have found that DD-LT…

hey. hey do you know the `-----BEGIN PRIVATE KEY-----` thing you see in files with key material? the files whose name ends in .pem? do you know what .pem stands for?
i just learned it stands for "Privacy-Enhanced Mail" https://en.wikipedia.org/wiki/Privacy-Enhanced_Mail

Cowboys-Raiders on 'Monday Night Football': What We Learned from Dallas' 33-16 win https://www.nfl.com/news/cowboys-raiders-on-monday-night-football-what-we-learned-from-dallas-33-16-win

to my enormous shock, I’ve learned that a nontrivial amount of my American friends has no clue who Louis de Funès is so I guess I’ll have to plan a Clockwork-Orange-style The Wing or the Thigh watch party/intervention for next #PyConUS

Today I learned about Kukur Tihar, a festival day in Nepal where dogs are honored for their loyalty and honesty.
This year it falls on October 19 - I don't have a dog, but I think it is the kind of festival we should adopt.
Be kind to all dogs, and especially on Kukur Tihar!
https://himalayan-masters.co…

Kukur Tihar: The Truth Behind Nepal’s Dog Festival
Learn more about what is Kukur Tihar in Nepal, why are dog worshipped and what are the rituals performed while worshipping dogs?

Content-Adaptive Inference for State-of-the-art Learned Video Compression
Ahmet Bilican, M. Ak{\i}n Y{\i}lmaz, A. Murat Tekalp
https://arxiv.org/abs/2510.07283 https://

Content-Adaptive Inference for State-of-the-art Learned Video Compression
While the BD-rate performance of recent learned video codec models in both low-delay and random-access modes exceed that of respective modes of traditional codecs on average over common benchmarks, the performance improvements for individual videos with complex/large motions is much smaller compared to scenes with simple motion. This is related to the inability of a learned encoder model to generalize to motion vector ranges that have not been seen in the training set, which causes loss of perf…

And sometimes they disagree and you have a shitty day.
https://noc.social/@todayilearned/115395314549695324

Today I learned (@todayilearned@noc.social)
Attached: 1 image TIL the anal sphincters and the brain work together to determine if something passing is gas or stool. https://zoe.com/learn/how-your-rectum-differentiates-gas-stool #til #todayilearned https://www.reddit.com/r/todayilearned/comments/1o9v689/til_the_anal_sphincters_and_the_brain_work/

NFL Week 11 takeaways: What We Learned from Sunday's 13 games https://www.nfl.com/news/nfl-week-11-takeaways-what-we-learned-from-sunday-s-13-games

oh shit just learned Swiftkey supports Irish unlike bitchass Google keyboard
now I can have my IRA keyboard and actually type in Irish on it instead of only being able to type in English on it :behehe:

from my link log —
Software architecture is overrated, clear and simple design is underrated.
https://blog.pragmaticengineer.com/software-architecture-is-overrated/
saved 2019-09-19

Software Architecture is Overrated, Clear and Simple Design is Underrated
I had my fair share in designing and building large systems. I've taken part in rewriting Uber's distributed payment systems [https://blog.pragmaticengineer.com/distributed-architecture-concepts-i-have-learned-while-building-payments-systems/] , designing and shipping Skype on Xbox One and open-sourcing RIBs [https://github.com/uber/RIBs], Uber's mobile architecture framework. All of these systems had thorough

Steelers-Bengals on 'Thursday Night Football': What We Learned from Cincinnati's 33-31 win over Pittsburgh https://www.nfl.com/news/steelers-bengals-on-thursday-night-football-what-we-learned-from-cincinna…

7 Common #Kubernetes Pitfalls
https://kubernetes.io/blog/2025/10/20/seven-kubernetes-pitfalls-and-how-to-avoid/

Introspection in Learned Semantic Scene Graph Localisation
Manshika Charvi Bissessur, Efimia Panagiotaki, Daniele De Martini
https://arxiv.org/abs/2510.07053 https://

Introspection in Learned Semantic Scene Graph Localisation
This work investigates how semantics influence localisation performance and robustness in a learned self-supervised, contrastive semantic localisation framework. After training a localisation network on both original and perturbed maps, we conduct a thorough post-hoc introspection analysis to probe whether the model filters environmental noise and prioritises distinctive landmarks over routine clutter. We validate various interpretability methods and present a comparative reliability analysis. …

Flow Engineering, which provides a collaborative hardware development platform for companies like Rivian, raised a $23M Series A led by Sequoia (Allie Garfinkle/Fortune)
https://fortune.com/2025/10/14/exclusive-f…

Exclusive: Flow Engineering raises $23 million Series A led by Sequoia to power hardware’s new era
Flow Engineering has raised a $23 million Series A, led by Sequoia and including the Collisons, Fortune has exclusively learned.

Buccaneers-Texans; Chargers-Raiders on Monday night: What We Learned from Tampa Bay's 20-19 win https://www.nfl.com/news/buccaneers-texans-chargers-raiders-on-monday-night-what-we-learned-from-tampa-bay-s-20-19-win…

Lessons Learned: Cowboys trip to Philly confirms Schotty talk, proves motion works https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/09/06/cowboys-eagles-lessons-learned-week-1-2025/85995846007/

My harshness in a players-only meeting taught me the value of emotional intelligence https://www.nytimes.com/athletic/6816952/2025/11/19/ndamukong-suh-nfl-vita-vea-dolphins-bucs-nfl/

Head Coach Mike Vrabel on What He Learned After Week 1, and Preparation for Week 2 https://www.patriots.com/video/head-coach-mike-vrabel-on-what-he-learned-after-week-1-and-preparation-for-week-2-patriots-all-acc…

2025 NFL season, Week 2: What We Learned from Sunday's games https://www.nfl.com/news/2025-nfl-season-week-2-what-we-learned-from-sunday-s-games

Lessons Learned: Cowboys trip to Philly confirms Schotty talk, proves motion works https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/09/06/cowboys-eagles-lessons-learned-week-1-2025/85995846007/

Jonathan Gannon explains when he learned to take emotion out of coaching: 'When our quarterback went to jail'

https://www.cbssports.com/nfl/news/j…

Scumbaggery ain't nothing new.
https://noc.social/@todayilearned/115378327700458180

Today I learned (@todayilearned@noc.social)
Attached: 1 image TIL Columbia Pictures president Harry Cohn actively prevented the Three Stooges from discovering how popular they were. Despite their films being in extremely high demand, Cohn made them believe they were always in danger of cancelation so they wouldn't negotiate a better contract. https://en.wikipedia.org/wiki/The_Three_Stooges#Moe,_Larry,_and_Curly_(1934%E2%80%931946) #til #todayilearned https://www.reddit.com/r/todayilearned/comments/1o7a5po/til_columbia_pictures_presiden…

10 Things We Learned from Broncos' Win Over Raiders https://www.si.com/nfl/broncos/onsi/news/10-things-we-learned-broncos-win-raiders

What the Bears learned in NFL's season opener about Week 3 opponent https://www.si.com/nfl/bears/what-the-bears-learned-in-nfl-s-season-opener-about-week-3-opponent

What we learned in NFL Week 11: Eagles' defense dominates, Broncos stake claim https://www.nytimes.com/athletic/6813066/2025/11/17/nfl-week-11-highlights-eagles-lions-jared-goff/

Chiefs' Rashee Rice on what he’s learned as he returns from suspension, injury https://www.nytimes.com/athletic/6726904/2025/10/17/chiefs-rashee-rice-return-suspension/

NFL Week 6 takeaways: What We Learned from Sunday's 12 games https://www.nfl.com/news/nfl-week-6-takeaways-what-we-learned-from-sunday-s-12-games

Commanders-Packers on 'Thursday Night Football': What We Learned from Green Bay's 27-18 win https://www.nfl.com/news/commanders-packers-on-thursday-night-football-what-we-learned-from-green-bay-s-27-18-win

After big interest, card collectors' J.J. McCarthy gamble falters as GOATs continue to rise https://www.nytimes.com/athletic/6641045/2025/09/18/sports-cards-jj-mccarthy-kobe-messi/

NFL Week 10 takeaways: What We Learned from Sunday's 12 games https://www.nfl.com/news/nfl-week-10-takeaways-what-we-learned-from-sunday-s-12-games

Eagles-Giants on 'Thursday Night Football': What We Learned from New York's 34-17 win https://www.nfl.com/news/eagles-giants-on-thursday-night-football-what-we-learned-from-new-york-s-34-17-win

Vikings-Bears on 'Monday Night Football': What We Learned from Minnesota's 27-24 win https://www.nfl.com/news/vikings-bears-on-monday-night-football-what-we-learned-from-minnesota-s-27-24-win

Chiefs-Jaguars on 'Monday Night Football': What We Learned from Jacksonville's 31-28 win https://www.nfl.com/news/chiefs-jaguars-on-monday-night-football-what-we-learned-from-jacksonville-s-31-28-win

Raiders-Broncos on 'Thursday Night Football': What We Learned from Denver's 10-7 win https://www.nfl.com/news/raiders-broncos-on-thursday-night-football-what-we-learned-from-denver-s-10-7-win

NFL Week 5 takeaways: What We Learned from Sunday's 12 games https://www.nfl.com/news/nfl-week-5-takeaways-what-we-learned-from-sunday-s-12-games

Chiefs-Chargers in Brazil: What We Learned from Los Angeles' 27-21 win https://www.nfl.com/news/chiefs-chargers-in-brazil-what-we-learned-from-los-angeles-27-21-win

Five things we learned from Sunday's Week 1 NFL games: Dolphins in deep trouble, Packers hype was deserved

https://www.cbssports.com/nfl/news/five-th

Cowboys-Eagles in 2025 NFL Kickoff Game: What We Learned from Philadelphia's 24-20 win https://www.nfl.com/news/cowboys-eagles-in-2025-nfl-kickoff-game-what-we-learned-from-philadelphia-s-24-20-win

Cardinals-Cowboys on 'Monday Night Football': What We Learned from Arizona's 27-17 win https://www.nfl.com/news/cardinals-cowboys-on-monday-night-football-what-we-learned-from-arizona-s-27-17-win

NFL Week 9 takeaways: What We Learned from Sunday's 12 games https://www.nfl.com/news/nfl-week-9-takeaways-what-we-learned-from-sunday-s-12-games

One thing we learned about each NFL team halfway through 2025 season: Rams on fire; Steelers will hang around

https://www.cbssports.com/nfl/news/one-thi

Niners-Rams on 'Thursday Night Football': What We Learned from San Francisco's win https://www.nfl.com/news/niners-rams-on-thursday-night-football-what-we-learned-from-san-francisco-s-win