Tootfinder

Dak Prescott needs just one word to predict his future with Cowboys https://www.sportingnews.com/us/nfl/dallas-cowboys/news/dak-prescott-needs-one-word-predict-future-cowboys/51956c19aad82dc9142171da

The Future of Sci-Fi and Fantasy Panel Highlights | DSNX25 – Dragonsteel Books https://share.google/siJXiuu0PyZOEb3lW

Farmers' Almanac, first printed in 1818, says its 2026 edition will be its last, citing financial challenges; access to the online version will end in December (Associated Press)
https://apnews.com/article/farmers-almanac-ceases-publication-…

Farmers' Almanac to cease publication after 2 centuries of predicting weather
A 208-year-old publication that farmers, gardeners and others keen to predict the weather have relied on for guidance will be publishing for the final time. Farmers’ Almanac said Thursday that its 2026 edition will be its last, citing the growing financial challenges of producing and distributing the book in today’s “chaotic media environment.” Access to the online version will cease next month. The Maine-based publication was first printed in 1818. It's distinct from the Old Farmer’s…

🚨 New SciFi story out by the excellent Pippa Goldschmidt, free and sponsored by the *National Academy of Sciences*
https://issues.org/futuretensefiction/the-way-out-pippa-goldschmidt/

The Way Out | Future Tense Fiction
Can animal behavior predict extreme weather? Pippa Goldschmidt’s story imagines a future in which analysts anticipate climate catastrophes by monitoring bats.

📷 Two-stage framework reconstructs sharp 4D scenes from blurry handheld videos
#imaging

Two-stage framework reconstructs sharp 4D scenes from blurry handheld videos
Neural Radiance Fields (NeRF) is a fascinating technique that creates three-dimensional (3D) representations of a scene from a set of two-dimensional (2D) images, captured from different angles. It works by training a deep neural network to predict the color and density at any point in 3D space.

NFL wild card round picks: Our experts face off on Packers vs. Bears, Bills at Jaguars and more

https://www.cbssports.com/nfl/news/nfl-playoff-wild-card-round-expert-picks/

The Safety Challenge of World Models for Embodied AI Agents: A Review
Lorenzo Baraldi, Zifan Zeng, Chongzhe Zhang, Aradhana Nayak, Hongbo Zhu, Feng Liu, Qunli Zhang, Peng Wang, Shiming Liu, Zheng Hu, Angelo Cangelosi, Lorenzo Baraldi
https://arxiv.org/abs/2510.05865

The Safety Challenge of World Models for Embodied AI Agents: A Review
The rapid progress in embodied artificial intelligence has highlighted the necessity for more advanced and integrated models that can perceive, interpret, and predict environmental dynamics. In this context, World Models (WMs) have been introduced to provide embodied agents with the abilities to anticipate future environmental states and fill in knowledge gaps, thereby enhancing agents' ability to plan and execute actions. However, when dealing with embodied agents it is fundamental to ensure t…

Artificial Intelligence for Cost-Aware Resource Prediction in Big Data Pipelines
Harshit Goyal
https://arxiv.org/abs/2510.05127 https://arxiv.org/pdf/2510.…

Artificial Intelligence for Cost-Aware Resource Prediction in Big Data Pipelines
Efficient resource allocation is a key challenge in modern cloud computing. Over-provisioning leads to unnecessary costs, while under-provisioning risks performance degradation and SLA violations. This work presents an artificial intelligence approach to predict resource utilization in big data pipelines using Random Forest regression. We preprocess the Google Borg cluster traces to clean, transform, and extract relevant features (CPU, memory, usage distributions). The model achieves high predi…

Photoluminescence excitation spectroscopy of quantum wire-like dislocation states in ZnS
Alexander Blackston, Alexandra Fonseca Montenegro, Sevim Polat Genlik, Maryam Ghazisaeidi, Roberto C. Myers
https://arxiv.org/abs/2510.05357

Photoluminescence excitation spectroscopy of quantum wire-like dislocation states in ZnS
Recent \textit{ab initio} calculations predict 1D dispersive electronic bands confined to the atomic scale cores of dislocations in the wide bandgap (3.84 eV) semiconductor ZnS. We test these predictions by correlating sub-bandgap optical transitions with the density of dislocations formed during strain relaxation in epitaxial ZnS grown on GaP. The densities for four predicted partial dislocations are quantified using scanning electron microscopy-based electron channeling contrast imaging. Room…

Emergent Directedness in Social Contagion
Fabian Tschofenig, Douglas Guilbeault
https://arxiv.org/abs/2510.06012 https://arxiv.org/pdf/2510.06012

Emergent Directedness in Social Contagion
An enduring challenge in contagion theory is that the pathways contagions follow through social networks exhibit emergent complexities that are difficult to predict using network structure. Here, we address this challenge by developing a causal modeling framework that (i) simulates the possible network pathways that emerge as contagions spread and (ii) identifies which edges and nodes are most impactful on diffusion across these possible pathways. This yields a surprising discovery. If people r…

Modulation Discovery with Differentiable Digital Signal Processing
Christopher Mitcheltree, Hao Hao Tan, Joshua D. Reiss
https://arxiv.org/abs/2510.06204 https://

Modulation Discovery with Differentiable Digital Signal Processing
Modulations are a critical part of sound design and music production, enabling the creation of complex and evolving audio. Modern synthesizers provide envelopes, low frequency oscillators (LFOs), and more parameter automation tools that allow users to modulate the output with ease. However, determining the modulation signals used to create a sound is difficult, and existing sound-matching / parameter estimation systems are often uninterpretable black boxes or predict high-dimensional framewise …

A finite element model for thermomechanical stress-strain fields in transversely isotropic strain-limiting materials
Saugata Ghosh, Dambaru Bhatta, S. M. Mallikarjunaiah
https://arxiv.org/abs/2510.05704

A finite element model for thermomechanical stress-strain fields in transversely isotropic strain-limiting materials
This paper presents a comprehensive computational framework for investigating thermo-elastic fracture in transversely isotropic materials, where classical linear elasticity fails to predict physically realistic behavior near stress concentrations. We address the challenge of unphysical strain singularities at crack tips by employing a strain-limiting theory of elasticity. This theory is characterized by an algebraically nonlinear constitutive relationship between stress and strain, which intrin…

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN
Farhad Rezazadeh, Hatim Chergui, Merouane Debbah, Houbing Song, Dusit Niyato, Lingjia Liu
https://arxiv.org/abs/2510.05255

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN
In sixth-generation (6G) Open Radio Access Networks (O-RAN), proactive control is preferable. A key open challenge is delivering control-grade predictions within Near-Real-Time (Near-RT) latency and computational constraints under multi-timescale dynamics. We therefore cast RAN Intelligent Controller (RIC) analytics as an agentic perceive-predict xApp that turns noisy, multivariate RAN telemetry into short-horizon per-User Equipment (UE) key performance indicator (KPI) forecasts to drive antici…

Resolved Profiles of Stellar Mass, Star Formation Rate, and Predicted CO-to-H$_2$ Conversion Factor Across Thousands of Local Galaxies
Jiayi Sun, Yu-Hsuan Teng, I-Da Chiang, Adam K. Leroy, Karin Sandstrom, Jakob den Brok, Alberto D. Bolatto, Jeremy Chastenet, Ryan Chown, Annie Hughes, Eric W. Koch, Thomas G. Williams
https://arxiv.org/abs/…

Resolved Profiles of Stellar Mass, Star Formation Rate, and Predicted CO-to-H$_2$ Conversion Factor Across Thousands of Local Galaxies
We present radial profiles of surface brightness in UV and IR bands, estimate stellar mass surface density ($Σ_\star$) and star formation rate surface density ($Σ_\mathrm{SFR}$), and predict the CO-to-H$_2$ conversion factor ($α_\mathrm{CO}$) for over 5,000 local galaxies with stellar mass $M_\star\,{\geq}\,10^{9.3}\rm\,M_\odot$. We build these profiles and measure galaxy half-light radii using GALEX and WISE images from the $z$0MGS program, with special care given to highly inclined galaxie…

Overlap-aware segmentation for topological reconstruction of obscured objects
J. Schueler, H. M. Ara\'ujo, S. N. Balashov, J. E. Borg, C. Brew, F. M. Brunbauer, C. Cazzaniga, A. Cottle, D. Edgeman, C. D. Frost, F. Garcia, D. Hunt, M. Kastriotou, P. Knights, H. Kraus, A. Lindote, M. Lisowska, D. Loomba, E. Lopez Asamar, P. A. Majewski, T. Marley, C. McCabe, L. Millins, R. Nandakumar, T. Neep, F. Neves, K. Nikolopoulos, E. Oliveri, A. Roy, T. J. Sumner, E. Tilly, W. Thompson, M. A. V…

Overlap-aware segmentation for topological reconstruction of obscured objects
The separation of overlapping objects presents a significant challenge in scientific imaging. While deep learning segmentation-regression algorithms can predict pixel-wise intensities, they typically treat all regions equally rather than prioritizing overlap regions where attribution is most ambiguous. Recent advances in instance segmentation show that weighting regions of pixel overlap in training can improve segmentation boundary predictions in regions of overlap, but this idea has not yet be…

Giant and robust Josephson diode effect in multiband topological nanowires
Bao-Zong Wang, Zi-Kai Li, Zhong-Da Li, Xiong-Jun Liu
https://arxiv.org/abs/2510.05772 https://

Giant and robust Josephson diode effect in multiband topological nanowires
We theoretically predict the giant and robust Josephson diode effect in quasi-one-dimensional topological Majorana nanowires in the regime with multiple subbands, which is expected to be relevant for the real experiment. In the multiband regime, the Majorana bound states and conventional Andreev bound states can naturally coexist, and respectively contribute to the fractional and conventional parts in the Josephson effect, with the former/latter having 4$π$/2$π$-periodicity. We show that the …

After tonight's election results, I predict a lot of GOP retirement announcements as the mid-terms approach.

NFL playoff predictions: Winners for every game, from Wild Card Weekend through Super Bowl LX https://www.nfl.com/news/nfl-playoff-predictions-picks-for-every-game-from-wild-card-weekend-through-super-bowl-lx

Sam Altman says OpenAI is seeking a new Head of Preparedness, noting "the potential impact of models on mental health was something we saw a preview of in 2025" (Cheyenne MacDonald/Engadget)
https://www.engadget.com/ai/openai-is-hiri…

OpenAI is hiring a new Head of Preparedness to try to predict and mitigate AI's harms
In a post about the role, CEO Sam Altman said it'll be 'a stressful job and you'll jump into the deep end pretty much immediately.

Analytic timing calculations and timing limits with prompt photons, high-aspect-ratio crystals, and complex TOF-kernels in TOF-PET
Nicolaus Kratochwil, Emilie Roncali, Gerard Arino-Estrada
https://arxiv.org/abs/2510.05461

Analytic timing calculations and timing limits with prompt photons, high-aspect-ratio crystals, and complex TOF-kernels in TOF-PET
Modeling the timing performance of light-based radiation detectors accurately is essential for optimizing time-of-flight positron emission tomography (TOF-PET). We present an analytic framework that combines existing models to predict the timing behavior of high-aspect ratio crystals, including contributions from prompt photons such as Cherenkov radiation. This framework is built on a closed-form solution for optical light transport, convolved with the photodetector response and photon producti…

Signatures of superconducting Higgs mode in irradiated Josephson junctions
Aritra Lahiri, Juan Carlos Cuevas, Bj\"orn Trauzettel
https://arxiv.org/abs/2510.05730 https://…

Signatures of superconducting Higgs mode in irradiated Josephson junctions
The Higgs mode, originally proposed in the context of superconductivity, corresponds to oscillations of the amplitude of the superconducting order parameter. Recent THz-domain optical studies have found signatures consistent with the Higgs mode, but its unambiguous detection is still challenging. We predict that the existence of the Higgs mode can be unambiguously revealed by standard measurements of the transport characteristics in microwave-irradiated asymmetric and transparent Josephson junc…

Neural Forward Filtering for Speaker-Image Separation
Jingqi Sun, Shulin He, Ruizhe Pang, Zhong-Qiu Wang
https://arxiv.org/abs/2510.05757 https://arxiv.org…

Neural Forward Filtering for Speaker-Image Separation
We address monaural multi-speaker-image separation in reverberant conditions, aiming at separating mixed speakers but preserving the reverberation of each speaker. A straightforward approach for this task is to directly train end-to-end DNN systems to predict the reverberant speech of each speaker based on the input mixture. Although effective, this approach does not explicitly exploit the physical constraint that reverberant speech can be reproduced by convolving the direct-path signal with a …

Has anyone else compared the daily weather forecasts from www.weather.gov, Google Weather and Wunderground?
And is there something unique about San Francisco that makes it so hard to predict, or have models produce such different results?

Has anyone else compared the daily weather forecasts from www.weather.gov, Google Weather and Wunderground?
And is there something unique about San Francisco that makes it so hard to predict, or have models produce such different results?

Cation vacancies mediate thermochemical water splitting with iron aluminates
Nathan J. Szymanski, Kent J. Warren, Alan W. Weimer, Christopher J. Bartel
https://arxiv.org/abs/2510.05328

Cation vacancies mediate thermochemical water splitting with iron aluminates
Solar thermochemical water splitting enables hydrogen production by cycling metal oxides between reduced and oxidized states, typically through an oxygen vacancy mechanism. However, recent experimental work suggests that cation vacancies have a greater influence on the redox behavior of iron aluminate spinels used in water splitting. This remains debated, as calculations predict that such cation vacancies are thermodynamically unfavorable. In the current work, we show that Fe vacancies in (Fe$�…

The evidence that Sect'y of Defense Hogsbreath has committed war crimes and murder is accumulating rapidly.
He will, of course, try to put the blame on an admiral - who will give evidence that he had been ordered to do the dirty deeds.
And we can predict with almost certainty that El Cheato will issue a pardon.
But that still leaves the Congressional power to impeach Hogsbreath. And it leaves open the door for civil actions - such as wrongful death actions by the famil…

Door Dasher Life Fun Facts: This might be useful to think of when you're rating your Dasher.... Who's at fault in this situation?
Let's say I accept an offer for McDonalds.
I head straight there... pull up to the store, and as I walk in the app buzzes again with a 2nd order for the same McDs.
Naturally, I accept. (not accepting reduces my Acceptance rate and potentially my ability to get new offers).
Now I have two orders at the same place! Great! Efficient!
The first order comes up quickly, I put it in my bag, 'pick it up' in the app, and wait for the 2nd order.
Now the fun begins. The restaurant says the 2nd order will be 10 minutes beyond the pickup time. I notify the app, and both customers of the wait... and I wait... and wait... if I remove the 2nd order from my app it affects my completion rate *and* means the customer has to wait for another dasher to come along.
Eventually the 2nd order is ready and I head out to make the deliveries. Both of course now late.. the first potentially cold (even in an insulated bag) *and* late.
In addition, sometimes, often a day or two later, the dasher will receive a “Contract Violation” for the lateness. 3 Contract Violations in a short period and you can be deactivated.
So... there ya go. It happens. I'm never sure what the best course of action is... unless both orders are immediately ready, which you can never predict, someone will end up losing; the store, customer, dasher, or a mix of all three.
#DasherLife #GigWork #DoorDash #Uber
P.S. It's worth noting that Door Dash is the only service I know of that is this strict. Uber Eats does not have mechanisms like this (at least in my experience). Never used Skip, so can't say on that.

Constraints on Radial Gas Flows in the Milky Way Disk Revealed by Large Stellar Age Catalogs
James W. Johnson
https://arxiv.org/abs/2510.05223 https://arxi…

Constraints on Radial Gas Flows in the Milky Way Disk Revealed by Large Stellar Age Catalogs
Disk galaxies like the Milky Way are expected to experience gas flows carrying matter toward their centers. This paper investigates the role of these radial gas flows in models of Galactic chemical evolution (GCE). We follow five different parameterizations of the Galactocentric radial velocity, $v_{r,g}$, of the interstellar medium (ISM). Relative to the $v_{r,g}=0$ limit, all models predict stellar metallicity to decline less significantly with age in the outer disk and more significantly in …

Sonnet 014 - XIV
Not from the stars do I my judgement pluck;
And yet methinks I have Astronomy,
But not to tell of good or evil luck,
Of plagues, of dearths, or seasons' quality;
Nor can I fortune to brief minutes tell,
Pointing to each his thunder, rain and wind,
Or say with princes if it shall go well
By oft predict that I in heaven find:
But from thine eyes my knowledge I derive,
And, constant stars, in them I read such art <…

Foreign Intelligence Service of Ukraine warns of a russian false-flag with human casualties:
> We predict with high probability a transition from manipulative influence to the russian special services’ armed provocation, resulting in significant human casualties. The expected time – on the eve of or during the celebration of Christmas according to the Julian calendar. The location of the provocation may be a religious building or other object of high symbolic significance either in …

MEGATRON: Reproducing the Diversity of High-Redshift Galaxy Spectra with Cosmological Radiation Hydrodynamics Simulations
Harley Katz, Martin P. Rey, Corentin Cadiou, Oscar Agertz, Jeremy Blaizot, Alex J. Cameron, Nicholas Choustikov, Julien Devriendt, Uliana Hauk, Gareth C. Jones, Taysun Kimm, Isaac Laseter, Sergio Martin-Alvarez, Kosei Matsumoto, Autumn Pearce, Francisco Rodr\'iguez Montero, Joki Rosdahl, Mahsa Sanati, Aayush Saxena, Adrianne Slyz, Richard Stiskalek, Anatole Stor…

MEGATRON: Reproducing the Diversity of High-Redshift Galaxy Spectra with Cosmological Radiation Hydrodynamics Simulations
We present the MEGATRON suite of cosmological radiation hydrodynamics simulations following the formation of Milky Way-mass galaxies from the earliest cosmic epochs when Population III stars form to Cosmic Noon. The suite represents the first set of cosmological simulations that couples a vast non-equilibrium thermochemistry network of primordial species, metals, and molecules to multifrequency, on-the-fly radiation transport, allowing us to directly predict the spectral properties of early gal…

NFL Week 10 picks: Our experts face off on Steelers vs. Chargers, Patriots vs. Buccaneers and more

https://www.cbssports.com/nfl/news/nfl-week-10-bet…

A future 'Hari Seldon' takes notes:
Mathematicians Unveil a Smarter Way to Predict the Future
https://scitechdaily.com/mathematicians-unveil-a-smarter-way-to-predict-the-future/

The design and reconstructible history of the Mayan eclipse table of the Dresden Codex: #Maya eclipse tables: #eclipse tables in the #DresdenCodex were based on lunar tables and adjusted for slippage over time.

"…Another attempt was thwarted last year when…Rampinis threatened to blow…house up, Zaia said."
"Tito said…eviction…carefully planned. '…reaction was so violent…it was hard to predict,'…prosecutor said."
Hard to predict people who threatened to blow up house might...do it?

3 Italian carabinieri killed in apparently deliberate farmhouse explosion
Authorities have reported that three carabinieri officers were killed and 13 others injured in an explosion near Verona, Italy, on Tuesday. The blast occurred during an eviction. Two brothers and a sister have been detained in connection with the incident. Verona’s carabinieri commander described the explosion as intentional, triggered by a gas tank. This was the second eviction attempt after a previous threat by the siblings to blow up the house. Italian Premier Giorgia Meloni and Defense Mi…

A High-Level Feature Model to Predict the Encoding Energy of a Hardware Video Encoder
Diwakara Reddy, Christian Herglotz, Andr\'e Kaup
https://arxiv.org/abs/2510.12754 https…

A High-Level Feature Model to Predict the Encoding Energy of a Hardware Video Encoder
In today's society, live video streaming and user generated content streamed from battery powered devices are ubiquitous. Live streaming requires real-time video encoding, and hardware video encoders are well suited for such an encoding task. In this paper, we introduce a high-level feature model using Gaussian process regression that can predict the encoding energy of a hardware video encoder. In an evaluation setup restricted to only P-frames and a single keyframe, the model can predict the e…

🚬 How frequently young adults use cannabis may predict their binge drinking
#drugs

How frequently young adults use cannabis may predict their binge drinking
Changing cannabis use frequency may predict changes in binge drinking frequency among young adults, according to a new study that illuminates shifts in substance use across early adulthood. The findings imply opportunities for targeted interventions to prevent and treat binge drinking, a behavior linked to a range of negative consequences, including alcohol use disorder (AUD) and high economic costs.

A couple of months ago Bali experienced its worst floods in more than a decade.
-- They came at the peak of the dry season.
Instead of the empty wells farmers faced last year,
this time their crops were washed away;
roads turned into brown, swirling rivers;
houses collapsed in the torrents;
and 17 people were killed.
⭐️Indonesia, the world’s fourth-most populous country, faces a paradox.
Sometimes described as a sleeping giant, it is one of the …

Predicting every NFL team's remaining schedule: Chiefs edge Broncos for AFC West crown; Packers win NFC North

https://www.cbssports.com/nfl/news/predict

"Plastic pollution could linger at ocean surfaces for over a century, new research finds"
#Plastic #Plastics #Oceans

Plastic pollution could linger at ocean surfaces for over a century, new research finds
Scientists from the Department of Geography and Environmental Science at Queen Mary University of London have developed a simple model to show how buoyant plastic can settle through the water column and they predict it could take over 100 years to remove plastic waste from the ocean's surface.

Truth Social launches Truth Predict, a prediction market platform in partnership with Crypto.com to let users trade on major current events like elections (Financial Times)
https://www.ft.com/content/485594b3-5a72-4ae1-aa93-8ee987be1569

AI is transforming how we predict hurricanes. NOAA is now using machine learning to analyze billions of data points, making forecasts more accurate than ever.
The results? Better rapid intensification predictions and stronger decision support for coastal communities at risk. As hurricane season wraps, this tech could be a game-changer for saving lives.

NOAA chief plugs AI in forecasting as hurricane season wraps
While no hurricanes struck the U.S., Hurricane Melissa left behind devastation in the Caribbean.

The joy of commercial big data. Thomson Reuters helps ICE to see in realtime which drivers are Democrats.
https://www.404media.co/this-app-lets-ice-track-vehicles-and-owners-across-the-country/

This App Lets ICE Track Vehicles and Owners Across the Country
Material viewed by 404 Media shows data giant Thomson Reuters enriches license plate data with marriage, voter, and ownership records. The tool can predict where a car may be in the future.

Gut Feeling: Cowboys-Cardinals staff predictions https://www.dallascowboys.com/news/gut-feeling-cowboys-cardinals-staff-predictions

House Dems predict major GOP support on bill to release Epstein files (Hailey Fuchs/Politico)
https://www.politico.com/live-updates/2025/11/12/congress/dems-optimistic-about-epstein-vote-00648328
http://www.memeorandum.com/251112/p101#a251112p101

🇺🇦 #NowPlaying on #BBC6Music's #6MusicsIndieForever
Kaiser Chiefs:
🎵 I Predict a Riot (Big Nurse Remix)
#KaiserChiefs
https://goodknightproductions1.bandcamp.com/track/i-predict-a-riot
https://open.spotify.com/track/75D3n6wnFQmu1HVmLAlWM4
Please 🔁 BOOST to share what you like
- your followers don't see if you ⭐ favourite a post

Clover Security, whose AI agents plug into developer platforms like GitHub to predict and detect security flaws, raised $36M led by Notable Capital and Team8 (Sam Sabin/Axios)
https://www.axios.com/2025/11/25/clover-security-funding-wiz-crowdstrike-no…

Exclusive: Wiz founders back AI security agent startup
Clover Security provides agentic tools that help companies embed security throughout their products and ensure that their products remain secure during their lifecycle.

AI can be considered successful once it can accurately predict the revolution that ends the hegemony of billionairedom.

"Specialist" and "generalist" are surprisingly slippery categories— biology abhors a binary— but quantifying the shared evolutionary history of plants eaten by insects introduced to North America let these authors predict their plant-damaging impacts https://doi.org/10.1111/ele.70083

🇦🇹 Austria: In Vienna, the police is trialing an automated software to predict crime. Every day, the system outputs hotspots to patrol [Kurier, 3 Dec 🔒, in German]. via Algorithm Watch
#ai #privacy

NFL Week 18 picks: Our experts face off on Saints vs. Falcons, Ravens at Steelers and more

https://www.cbssports.com/nfl/news/nfl-week-18-expert-picks-panthers-b…

We found that ChatGPT made executives significantly more optimistic in their forecasts while peer discussions tended to encourage caution. Additionally, we found that the executives armed with ChatGPT made worse predictions, based on actual stock figures, than they had before they consulted the tool.”
But they'll still keep pushing it down our throats, because nobody wants to be first to get out of the bubble.

Research: Executives Who Used Gen AI Made Worse Predictions
In a recent experiment, nearly 300 executives and managers were shown recent stock prices for the chip-maker Nvidia and then asked to predict the stock’s price in a month’s time. Then, half the group was given the opportunity to ask questions of ChatGPT while the other half were allowed to consult with their peers about Nvidia’s stock. The executives who used ChatGPT became significantly more optimistic, confident, and produced worse forecasts than the group who discussed with their peers…

Gut Feeling: Cowboys-Cardinals staff predictions https://www.dallascowboys.com/news/gut-feeling-cowboys-cardinals-staff-predictions

"Google Earth gets an AI chatbot to help chart the climate crisis"
#Google #AI #ArtificialIntelligence #Climate

Google Earth gets an AI chatbot to help chart the climate crisis
New AI features in Google Earth let users ask chatbot-style questions to find changes in the climate. The system could eventually predict disasters and identify the communities likely to be affected.

Imagine ChatGPT but instead of predicting text it just linked you to the to 3 documents most-influential on the probabilities that would have been used to predict that text.
Could even generate some info about which parts of each would have been combined how.
There would still be issues with how training data is sourced and filtered, but these could be solved by crawling normally respecting robots.txt and by paying filterers a fair wage with a more relaxed work schedule and mental health support.
The energy issues are mainly about wild future investment and wasteful query spam, not optimized present-day per-query usage.
Is this "just search?"
Yes, but it would have some advantages for a lot of use cases, mainly in synthesizing results across multiple documents and in leveraging a language model more fully to find relevant stuff.
When we talk about the harms of current corporate LLMs, the opportunity cost of NOT building things like this is part of that.
The equivalent for art would have been so amazing too! "Here are some artists that can do what you want, with examples pulled from their portfolios."
It would be a really cool coding assistant that I'd actually encourage my students to use (with some guidelines).
#AI #GenAI #LLMs

A survey of 700 Hollywood insiders: 52% think Netflix will buy WBD, 80% say they use AI in their work, 30% predict Josh D'Amaro as Disney's next CEO, and more (Lucas Shaw/Bloomberg)
https://www.bloomberg.com/news/newsletters/2025-12-21/…

NFL Week 14 picks: Our experts face off on Cowboys at Lions, Joe Burrow vs. Josh Allen, other crucial matchups

https://www.cbssports.com/nfl/news/nfl-week-14-expert-picks-predictions-a…

Prime Implicant Explanations for Reaction Feasibility Prediction
Klaus Weinbauer, Tieu-Long Phan, Peter F. Stadler, Thomas G\"artner, Sagar Malhotra
https://arxiv.org/abs/2510.09226

Prime Implicant Explanations for Reaction Feasibility Prediction
Machine learning models that predict the feasibility of chemical reactions have become central to automated synthesis planning. Despite their predictive success, these models often lack transparency and interpretability. We introduce a novel formulation of prime implicant explanations--also known as minimally sufficient reasons--tailored to this domain, and propose an algorithm for computing such explanations in small-scale reaction prediction tasks. Preliminary experiments demonstrate that our…

Riccati-ZORO: An efficient algorithm for heuristic online optimization of internal feedback laws in robust and stochastic model predictive control
Florian Messerer, Yunfan Gao, Jonathan Frey, Moritz Diehl
https://arxiv.org/abs/2511.10473 https://arxiv.org/pdf/2511.10473 https://arxiv.org/html/2511.10473
arXiv:2511.10473v1 Announce Type: new
Abstract: We present Riccati-ZORO, an algorithm for tube-based optimal control problems (OCP). Tube OCPs predict a tube of trajectories in order to capture predictive uncertainty. The tube induces a constraint tightening via additional backoff terms. This backoff can significantly affect the performance, and thus implicitly defines a cost of uncertainty. Optimizing the feedback law used to predict the tube can significantly reduce the backoffs, but its online computation is challenging.
Riccati-ZORO jointly optimizes the nominal trajectory and uncertainty tube based on a heuristic uncertainty cost design. The algorithm alternates between two subproblems: (i) a nominal OCP with fixed backoffs, (ii) an unconstrained tube OCP, which optimizes the feedback gains for a fixed nominal trajectory. For the tube optimization, we propose a cost function informed by the proximity of the nominal trajectory to constraints, prioritizing reduction of the corresponding backoffs. These ideas are developed in detail for ellipsoidal tubes under linear state feedback. In this case, the decomposition into the two subproblems yields a substantial reduction of the computational complexity with respect to the state dimension from $\mathcal{O}(n_x^6)$ to $\mathcal{O}(n_x^3)$, i.e., the complexity of a nominal OCP.
We investigate the algorithm in numerical experiments, and provide two open-source implementations: a prototyping version in CasADi and a high-performance implementation integrated into the acados OCP solver.
toXiv_bot_toot

Verifying Chain-of-Thought Reasoning via Its Computational Graph
Zheng Zhao, Yeskendir Koishekenov, Xianjun Yang, Naila Murray, Nicola Cancedda
https://arxiv.org/abs/2510.09312 …

Verifying Chain-of-Thought Reasoning via Its Computational Graph
Current Chain-of-Thought (CoT) verification methods predict reasoning correctness based on outputs (black-box) or activations (gray-box), but offer limited insight into why a computation fails. We introduce a white-box method: Circuit-based Reasoning Verification (CRV). We hypothesize that attribution graphs of correct CoT steps, viewed as execution traces of the model's latent reasoning circuits, possess distinct structural fingerprints from those of incorrect steps. By training a classifier o…

DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving
Yingyan Li, Shuyao Shang, Weisong Liu, Bing Zhan, Haochen Wang, Yuqi Wang, Yuntao Chen, Xiaoman Wang, Yasong An, Chufeng Tang, Lu Hou, Lue Fan, Zhaoxiang Zhang
https://arxiv.org/abs/2510.12796

DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving
Scaling Vision-Language-Action (VLA) models on large-scale data offers a promising path to achieving a more generalized driving intelligence. However, VLA models are limited by a ``supervision deficit'': the vast model capacity is supervised by sparse, low-dimensional actions, leaving much of their representational power underutilized. To remedy this, we propose \textbf{DriveVLA-W0}, a training paradigm that employs world modeling to predict future images. This task generates a dense, self-supe…

@… two precautions that may help, in lossy situations:
pkg prime-origins | sort -u > /var/tmp/pkg-prime-origins.txt
/usr/local/etc/periodic/daily/411.pkg-backup
If – following an issue – you predict the need to revert to the backup, you can:
service cron stop

Why trying to predict the end of the world won’t save it:
https://www.brichapman.com/p/the-case-for-possibility?r=1o5n19&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false

Researchers detail popEVE, an AI model to predict the disease-causing potential of unknown human genetic mutations, and says it beats Google's AlphaMissense (Michael Peel/Financial Times)
https://www.ft.com/content/bc49e334-776b-41d0-a9be-fb0c29c54853

🧬 Largest RNA language model to date offers new way to predict behavior and boost drug discovery
#rna

Largest RNA language model to date offers new way to predict behavior and boost drug discovery
RNA plays a vital role in how our genes are expressed and how diseases develop. Yet, because RNA molecules constantly change shape, understanding how they work has long been a major scientific challenge.

Sonnet 014 - XIV
Not from the stars do I my judgement pluck;
And yet methinks I have Astronomy,
But not to tell of good or evil luck,
Of plagues, of dearths, or seasons' quality;
Nor can I fortune to brief minutes tell,
Pointing to each his thunder, rain and wind,
Or say with princes if it shall go well
By oft predict that I in heaven find:
But from thine eyes my knowledge I derive,
And, constant stars, in them I read such art <…

After today's capitulation by the D-party Fox News is forecasting a total sweep by the R-party in November 2026.
Given that the D-party can't organize themselves out of a wet paper bag, and then sinks their own boat by elevating identity politics over pretty much everything else, I can see the logic in such a move by Fox News.
(And, no, Fox News did not really predict that total sweep.)

Execs predict the NFL season's second half and awards https://www.espn.com/nfl/story/_/id/46780885/2025-nfl-season-midseason-playoffs-mvp-super-bowl-breakout-players-divisions

How Reinforcement Learning After Next-Token Prediction Facilitates Learning
Nikolaos Tsilivis, Eran Malach, Karen Ullrich, Julia Kempe
https://arxiv.org/abs/2510.11495 https://

How Reinforcement Learning After Next-Token Prediction Facilitates Learning
Recent advances in reasoning domains with neural networks have primarily been enabled by a training recipe that optimizes Large Language Models, previously trained to predict the next-token in a sequence, with reinforcement learning algorithms. We introduce a framework to study the success of this paradigm, and we theoretically expose the optimization mechanisms by which reinforcement learning improves over next-token prediction in this setting. We study learning from mixture distributions of s…

💣 Software supports safe, controlled detonations of aerial bombs
#europe

Software supports safe, controlled detonations of aerial bombs
Time and again, unexploded aerial bombs from the Second World War need to be defused or detonated in controlled explosions. Researchers at the Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMI are working together with partners to develop models that predict fragmentation flight and simulate the underground spread of shock waves. This can help to reduce evacuation zones as well as improve forecasting of the risks to underground structures.

WUGNECTIVES: Novel Entity Inferences of Language Models from Discourse Connectives
Daniel Brubaker, William Sheffield, Junyi Jessy Li, Kanishka Misra
https://arxiv.org/abs/2510.09556

WUGNECTIVES: Novel Entity Inferences of Language Models from Discourse Connectives
The role of world knowledge has been particularly crucial to predict the discourse connective that marks the discourse relation between two arguments, with language models (LMs) being generally successful at this task. We flip this premise in our work, and instead study the inverse problem of understanding whether discourse connectives can inform LMs about the world. To this end, we present WUGNECTIVES, a dataset of 8,880 stimuli that evaluates LMs' inferences about novel entities in contexts w…

How many samples to label for an application given a foundation model? Chest X-ray classification study
Nikolay Nechaev, Evgenia Przhezdzetskaya, Viktor Gombolevskiy, Dmitry Umerenkov, Dmitry Dylov
https://arxiv.org/abs/2510.11553

How many samples to label for an application given a foundation model? Chest X-ray classification study
Chest X-ray classification is vital yet resource-intensive, typically demanding extensive annotated data for accurate diagnosis. Foundation models mitigate this reliance, but how many labeled samples are required remains unclear. We systematically evaluate the use of power-law fits to predict the training size necessary for specific ROC-AUC thresholds. Testing multiple pathologies and foundation models, we find XrayCLIP and XraySigLIP achieve strong performance with significantly fewer labeled …

Bold Predictions: Dallas looks to change history in Denver https://insidethestar.com/bold-predictions-dallas-looks-to-change-history-in-denver

Eagles vs. Bears prediction: Can Caleb Williams upset the reigning champions on Black Friday?

https://www.cbssports.com/nfl/news/eagles-vs-bears-where-to-watch-pick-…

Not in Sync: Unveiling Temporal Bias in Audio Chat Models
Jiayu Yao, Shenghua Liu, Yiwei Wang, Rundong Cheng, Lingrui Mei, Baolong Bi, Zhen Xiong, Xueqi Cheng
https://arxiv.org/abs/2510.12185

Not in Sync: Unveiling Temporal Bias in Audio Chat Models
Large Audio Language Models (LALMs) are increasingly applied to audio understanding and multimodal reasoning, yet their ability to locate when events occur remains underexplored. We present the first systematic study of temporal bias in LALMs, revealing a key limitation in their timestamp prediction. For example, when asked "At which second does the lecturer introduce the key formula?", models often predict timestamps that are consistently earlier or later than the ground truth. Through control…

Post-hoc Stochastic Concept Bottleneck Models
Wiktor Jan Hoffmann, Sonia Laguna, Moritz Vandenhirtz, Emanuele Palumbo, Julia E. Vogt
https://arxiv.org/abs/2510.08219 https://

Post-hoc Stochastic Concept Bottleneck Models
Concept Bottleneck Models (CBMs) are interpretable models that predict the target variable through high-level human-understandable concepts, allowing users to intervene on mispredicted concepts to adjust the final output. While recent work has shown that modeling dependencies between concepts can improve CBM performance, especially under interventions, such approaches typically require retraining the entire model, which may be infeasible when access to the original data or compute is limited. I…

ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving
Zhiyu Zheng, Shaoyu Chen, Haoran Yin, Xinbang Zhang, Jialv Zou, Xinggang Wang, Qian Zhang, Lefei Zhang
https://arxiv.org/abs/2510.08562

ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving
End-to-end autonomous driving (E2EAD) systems, which learn to predict future trajectories directly from sensor data, are fundamentally challenged by the inherent spatio-temporal imbalance of trajectory data. This imbalance creates a significant optimization burden, causing models to learn spurious correlations instead of causal inference, while also prioritizing uncertain, distant predictions, thereby compromising immediate safety. To address these issues, we propose ResAD, a novel Normalized R…

Former Cowboys Predict Eagles vs Cowboys | Players Lounge https://www.youtube.com/watch?v=RiQ2VoGdruo

NFL Week 13 picks: Our experts face off on Shedeur Sanders' second start, Bills against Steelers and more

https://www.cbssports.com/nfl/news/nfl-week-13-picks-dueling-expert-predict…

🍔 Thermal, Mechanical, And Material Stresses Grow With Die Stacking
https://semiengineering.com/thermal-mechanical-and-material-stresses-grow-with-die-stacking/

Thermal, Mechanical, And Material Stresses Grow With Die Stacking
More analysis and more data are needed to predict how different dies will interact in the same package.

Learning What's Missing: Attention Dispersion and EMA Stabilization in Length Generalization
P\'al Zs\'amboki, Benjamin Levi, David Ansel Josef Smith, Mitansh Kagalwala, Arlington Kell, Samuel Liechty, Cong Wang
https://arxiv.org/abs/2510.08341

Learning What's Missing: Attention Dispersion and EMA Stabilization in Length Generalization
We study length generalization in transformers through the set complement task, where a model must predict a uniform distribution over tokens absent from an input sequence -- an ability central to board-game style reasoning. Our main theoretical result establishes two statements. First, we prove tight bounds on embedding and value dimensions for single-layer attention-only transformers. Second, we show that if such a model achieves balanced logit displacement at lengths 1 and 2, then it must ge…

Packers vs. Lions prediction: Can Detroit defend home turf or will Green Bay pull off the Thanksgiving upset?

https://www.cbssports.com/nfl/news/packers-vs-lions-wh…

Power Rankings: Ordering 10 remaining games on the schedule https://www.dallascowboys.com/news/power-rankings-ordering-10-remaining-games-on-the-schedule

Ravens vs. Bengals prediction: Can Joe Burrow save Cincinnati on Thanksgiving?

https://www.cbssports.com/nfl/news/ravens-vs-bengals-prediction-pick-odds-thanksgiving-game/

Power Rankings: Ordering 10 remaining games on the schedule https://www.dallascowboys.com/news/power-rankings-ordering-10-remaining-games-on-the-schedule

Eagles vs. Giants prediction: Can Jalen Hurts exact revenge in NFC East rivalry after Jaxson Dart's upset?

https://www.cbssports.com/nfl/news/eagles-

NFL Week 17 picks: Our experts face off on Cowboys vs. Commanders, Lions at Vikings and more

https://www.cbssports.com/nfl/news/nfl-week-17-…

Gut Feeling: Cowboys-Commanders staff predictions https://www.dallascowboys.com/news/gut-feeling-cowboys-commanders-staff-predictions

NFL Week 8 picks: Our experts face off on Giants vs. Eagles, Cowboys at Broncos and more

https://www.cbssports.com/nfl/news/nfl-week-8-betting-picks-predic…

Gut Feeling: Cowboys-Commanders staff predictions https://www.dallascowboys.com/news/gut-feeling-cowboys-commanders-staff-predictions

Eagles vs. Giants prediction: Can Jalen Hurts exact revenge in NFC East rivalry after Jaxson Dart's upset?

https://www.cbssports.com/nfl/news/eagles-

NFL Week 8 picks: Our experts face off on Vikings vs. Chargers, Cowboys at Broncos and more

https://www.cbssports.com/nfl/news/nfl-week-8-betting-picks-pre…

Bold Predictions: Cowboys will take "command" vs Washington https://insidethestar.com/bold-predictions-cowboys-will-take-command-vs-washington

NFL Week 16 picks: Our experts face off on Steelers against Lions, Patriots at Ravens and more

https://www.cbssports.com/nfl/news/nfl-week-16-expert-picks-head-t…

NFL Week 16 picks: Our experts face off on Rams vs. Seahawks, Steelers at Lions, Patriots against Ravens, more

https://www.cbssports.com/nfl/news/nfl-week-16-exp…

NFL Week 7 picks: Our experts face off on Steelers vs. Bengals, Jaxson Dart's Giants vs. Broncos and more

https://www.cbssports.com/nfl/news/nfl-week-7-betting-picks-predictions-odds/

Chiefs vs. Lions prediction, where to watch: Can Patrick Mahomes outduel Detroit's high-octane attack?

https://www.cbssports.com/nfl/news/chiefs-

Predicting overreactions for NFL Week 7: Trey Hendrickson done with Bengals? Commanders miss playoffs?

https://www.cbssports.com/nfl/news/predict