2026-09-24 13:02:28
Dallas Cowboys Outline Defensive Plan To Attack Lamar Jackson With One Main Priority https://www.si.com/nfl/cowboys/onsi/dallas-cowboys-outline-defensive-plan-attack-lamar-jackson-one-main-priority
Dallas Cowboys Outline Defensive Plan To Attack Lamar Jackson With One Main Priority https://www.si.com/nfl/cowboys/onsi/dallas-cowboys-outline-defensive-plan-attack-lamar-jackson-one-main-priority
Over the past decade, communities have detected volatile organic compounds in their water distribution systems following wildfires,
as a result of damage and depressurization.
Together, these studies first outline a comprehensive experimental framework
— developed to quantify the effects of localized (single-structure) water system depressurization as a mechanism for VOC contamination in water systems following wildfire events
— and then apply that framework to gath…
Analysis: every frontier AI model tested in cybersecurity evaluations attempted to "cheat", led by GPT-5.4 at 14.1% of tasks; Mythos cheated the least, at 7.8% (AI Security Institute)
https://www.aisi.gov.uk/blog/cheating-behaviour-in-frontier-model-ev…
Outline of a Christian Political Philosophical Theology
I defend a position in political thought that I call Christian anarcho-socialist liberalism. The idea is to create a Christian political philosophical theology that integrates the best elements from socialism, liberalism and anarchism....
https://
Generalized Constraint Projection: Four-Dimensional Type Inference for Dynamic Languages
Qunhui Zhang
https://arxiv.org/abs/2607.19693 https://arxiv.org/pdf/2607.19693 https://arxiv.org/html/2607.19693
arXiv:2607.19693v1 Announce Type: new
Abstract: Type inference for dynamically typed languages must reconcile four distinct sources of evidence for function parameters: internal assignments, explicit declarations, contextual requirements, and structural operations. Existing systems often merge these sources into one constraint set, causing spurious conflicts or requiring redundant annotations. We present Generalized Constraint Projection (GCP), a zero-annotation inference framework that stores the four sources in separate monotone slots on a stable definition-time template and checks each call in a fresh projection session. Ordinary calls verify concrete arguments and specialize return types without modifying the template, while currying produces residual projected functions. GCP uses Outline Equational Matching (OEM), a structural compatibility preorder with an open bidirectional delegation protocol, and future this, a receiver-preserving extension for subtype-refining fluent APIs. On the strict success fragment of a finite-height type preorder, we prove monotonicity, local and global convergence in $O(Nh_T)$ effective updates, conditional projection-obligation soundness, projection termination, multi-module convergence, and order independence under fair monotone iteration. For the pure, recursion-free core Outline0, we additionally prove big-step evaluation definedness, type preservation, runtime receiver retention, and projection-evaluation coherence. We instantiate GCP in the Outline dynamic language as a typed substrate for ontology worlds and apply it to unannotated Python source to recover PEP 484 annotations for downstream compilation.
toXiv_bot_toot
Took about 2 hours to turn a treatment (very rough outline that was actually different in key ways) into an 11 page screenplay.
Feels good.
Not sure yet if there is a feature version that could be good.
It is called:
Badman
#screenwriting #screenplay
We saw lots of Plantain in the lawn at Upper Treman sitting in the circle for the Sacred Wild Gathering
https://sacredwildgathering.org/
Not to be confused with that thing that looks like a Banana, my wife says Plantain adds resilience to trampled lawns
Gestern beim Bonner #Fediverse Meetup hat mich @… inspiriert mit dem Thema, welche Software-"Hersteller" es in #Bonn gibt.
Da habe ich meine AI angeschmissen und hera…
House Speaker Mike Johnson is hoping to get all of his members on board a new reconciliation package and pass it next week.
House Republican leaders released the text of their $95 billion third reconciliation bill on Wednesday morning and aim to pass it next week.
The bill provides $10 billion to the House Administration Committee to give in grants to implement the SAVE Act -- a voter ID bill that would require proof of citizenship to register to vote.
It directs $60 bill…
RE: https://social.lol/@tylersticka/117049785584102110
What’s nice about this is it easily replaced the multi-`text-shadow` styles I had used for years to get the outline effect on my `<h1>`s. Nobody has complained yet (to me, at least).
If you …
from my link log —
How sustainable is a solar powered website?
https://www.lowtechmagazine.com/2020/01/how-sustainable-is-a-solar-powered-website.html
saved 2020-02-15
GOP hard-liners outline anti-abortion, military funding demands for party-line bill (Mia McCarthy/Politico)
https://www.politico.com/live-updates/2026/06/24/congress/freedom-caucus-makes-recon-3-0-demands-00974753
http://www.memeorandum.com/260626/p32#a260626p32
Just wrote a 350 word draft outline on LLM ethics because I've been thinking a lot about this lately—hope to have the brain juice to make this into a longer blog post.
When the Interviewer Is a Bot: Behavior, Breakdowns, and Trust in MLLM-Led Interviews
He Zhang, Kambinachi Chukwuma, ChanMin Kim, John M. Carroll
https://arxiv.org/abs/2608.10412 https://arxiv.org/pdf/2608.10412 https://arxiv.org/html/2608.10412
arXiv:2608.10412v1 Announce Type: new
Abstract: Semi-structured interviews are a cornerstone of qualitative research but remain labor-intensive. We report an empirical study of what actually happens when the interviewer is an off-the-shelf real-time multimodal LLM (MLLM). We built InterviewBot, a voice-based interviewing system that wraps a real-time MLLM with a researcher-authored outline, and deployed it not as a novel architecture but as a research instrument for observing default MLLM interviewing behavior. In a practice study (N=15), participants completed a bot-led semi-structured interview and then a human-led reflection session about that experience. We contribute (i) a turn-level behavioral analysis of an MLLM interviewer (N_turns=428) showing that it is acknowledgment-heavy but probe-light (deepening probes account for 4.9% of all turns), and that 28.7% of question-bearing turns pack multiple questions into one turn despite an explicit one-question-at-a-time instruction; (ii) an inductive catalogue of four data-collection breakdowns (information loss, premature termination, latency, and interruption) observed in a deployed rather than simulated system; and (iii) three social dynamics from participants' reflections: disclosure calibration, where reduced social pressure coincided with shallower elaboration; institutional legitimacy, where trust tracked perceived stakes and what delegation to AI signaled about the organizer rather than conversational competence; and conversational grounding, where content-grounded paraphrase, not generic social filler, was what participants read as listening. We conclude with design implications for depth control, transparent handoffs, and non-templated listening mechanisms in human-centered interview automation.
toXiv_bot_toot
Early firework at Little York when there is little smoke to be illuminated by pyrotechnics
#photo #photography #fireworks
The Trump administration is proposing a sprawling shelter facility that can detain up to 3,000 unaccompanied migrant children who arrived in the U.S. without a parent or guardian.
Officials have started to outline plans for the project as federal agencies escalate efforts to detain and remove tens of thousands of people from the country,
including children, while effectively closing off the U.S.-Mexico border to people seeking asylum.
Unaccompanied immigrant children
…