I have prompted Google Gemini (with Nano Banana engine) to generate the image of historical Jesus by using scientific data on him and ignoring iconography
Here, we see a typical wandering preacher from Galilee of the first years AD. This is a plausible image of how the real Jesus might look like
https://
Generative AI can’t magically reveal otherwise unknown truths. AI doesn’t have any idea what the lower half of the killer’s face looks, no more than my students knew what my unmasked face looked like.
What AI •can• do is generate a random plausible face that really looks like a face. It might even look like the face of a real person — a random, innocent person.
Sharing AI-generated unmasking photos is dangerous.
3/
There are several photographs circulating online right now purporting to show the full, unmasked face of Renee Good’s killer. These photos are, as far as I’m aware, all AI-generated.
Please do not share these photos.
Remember that, as with all gen AI, it is answering the question “What would be statistically plausible here?” It’s not showing you the •killer’s• face. It’s showing you •a• face that fits with the what we know of the killer’s face.
2/
(Not that there's any plausible reason to do this in the first place.)
"why Europe needs to take its own defence more seriously. Russia is still a long way from winning on the battlefield, despite devoting half its budget to the war... If the West chooses to let its enemies win, history will not judge its leaders kindly"
https://www.economist.com/culture/2026/01/22/a-chilling-yet-plausible-scenario-what-if-putin-wins?giftId=NGQzZmU5MGEtOTY3YS00NmNlLWIzOWEtMzM4ZDNlNWE5NTk2&utm_campaign=gifted_article
Shufflecake: plausible deniability for multiple hidden filesystems …
<https://shufflecake.net/>
<https://codeberg.org/sh…
So I somewhat blindly guessed that the "PCIe" address space block contained a PCIe Base Spec compliant configuration register space starting at base address 0x00.
I'm now printing a bunch of info about the root complex which seems plausible. But I need to figure out how to enumerate the link partner still.
@… Ja polecam Plausible - od lat korzystam z ich globalnej instancji, od niedawna nawet self-hostuje i wdrażam na stronach.
https://plausible.io/@…
I understand that there is no plausible evidence that Ukraine targeted Putin's residence. I don't understand why that matters. He's the prime combatant. Why should he not be targeted?
Real conspiracies tend to come out, but some of them take a while. Information on the Iran/Contra scandal broke out about 5 years after the conspiracy started. That would have taken several hundred people to carry out, so it was somewhat hard to hide. Even so, they largely got away with it.
The moon landing conspiracy theory would have taken thousands of people, so it would have come out more quickly. Since we have an example of a real secret program of a similar scale as what would be required to fake a moon landing (that is, the Manhattan project), we know that the fake moon landing conspiracy theory is not true. (There's also the literally tons of evidence in the form of rocks and other samples, and all kinds of other ways to debunk the claim.)
Could Kash Patel's FBI have been trying really hard to entrap people into carrying out terrorist attacks in order to justify #Trump's occupation of DC? Could they have helped a guy plan an attack then just failed to arrest him? There are reasonable scenarios that fall in between malice and incompetence while still indicating some level of false flag.
Could someone have just snapped and ambushed some guardsmen without any involvement from the FBI? Yeah, totally. The US is a country full of guns with a completely non-functional mental health system. Someone coming from a country that the US destroyed, twice, could have a lot of untreated trauma. Might they see the national guard as a threat (even if that wasn't totally true)? Yeah, they were deployed to threaten people (even when they were just picking up trash). The point was to incite this kind of response. It's completely reasonable to believe that the FBI would not need to be involved at all, that this would just be the stochastic response they were looking for.
So the point here is that everything is on the table, nothing is really known, nothing should be surprising, and no matter what it's Trump's fault. This is exactly the escalation he was looking for. If he didn't get it naturally, he would also have had ways of making it happen.
He will use this in exactly the same way as the Reichstag fire, to drive a wedge between liberals and radicals. Don't fall for it.
Edit:
There are plausible reasons to not believe the official narrative at all right now, or maybe ever. The official narrative is also plausible, but there are plausible reasons to disagree with the response even if the official story is true. It is unnecessary to resort to conspiracy thinking in order to account for what happened and to disagree with the response. But it is also understandable why someone might jump immediately to a conspiracy given the circumstances.
"regardless of the underlying technology, the pursuit of artificial general intelligence is not necessarily the most efficient route to useful applications. Artificial specific intelligence (AI approaches focused on a specific domain, such as the Nobel prize-winning, protein-folding algorithm, AlphaFold2) gives more reliable and transparent results by combining the subtle pattern detection at which GenAI excels with explicitly encoded, domain-specific knowledge."
"There are two possibilities that offer better explanations of the US’s criminal action: oil and power. Petroleum has been widely cited as the key reason, and Trump himself has acknowledged this. There seem to be two plausible aspects to this."
From my new Venezuela article.
I conquer, therefore I am – the United States intervention in Venezuela
Here is a sliver of hope for cashflow for OpenAI: They will charge your employer a hefty fee for your company use of ChatGPT. But because your employer is recording everything you do with ChatGPT, you will want to have your private, for-pay ChatGPT, too, to get your job done.
Your employer will look the other way, as your grey use of ChatGPT provides plausible deniability for any #compliance
Is it even remotely plausible that Trump would take Greenland and then not move on immediately to Iceland?
"Iceland: The North Atlantic island is a NATO member but has no military, only a coastguard service."
"It hosts U.S. Navy P-8A Poseidon maritime-patrol aircraft in a rotational deployment, based at Keflavik air base, near Reykjavik."
Próbuję się ostatnio zde-cloudflare-ować i ile to wymaga energii...
- CDN DNS -
bunny.net- hosting stron statycznych
statichost.eu- rejestracja domen -
infomaniak.comJeszcze docelowo s3 sobie wyniosę z b2, ale krok po kroku... Analytics mam już swoje na plausible selfhostowane i go użyje zamiast statystyk z cloudflarea.
Dużym plusem…
Copy-Trasform-Paste: Zero-Shot Object-Object Alignment Guided by Vision-Language and Geometric Constraints
Rotem Gatenyo, Ohad Fried
https://arxiv.org/abs/2601.14207 https://arxiv.org/pdf/2601.14207 https://arxiv.org/html/2601.14207
arXiv:2601.14207v1 Announce Type: new
Abstract: We study zero-shot 3D alignment of two given meshes, using a text prompt describing their spatial relation -- an essential capability for content creation and scene assembly. Earlier approaches primarily rely on geometric alignment procedures, while recent work leverages pretrained 2D diffusion models to model language-conditioned object-object spatial relationships. In contrast, we directly optimize the relative pose at test time, updating translation, rotation, and isotropic scale with CLIP-driven gradients via a differentiable renderer, without training a new model. Our framework augments language supervision with geometry-aware objectives: a variant of soft-Iterative Closest Point (ICP) term to encourage surface attachment and a penetration loss to discourage interpenetration. A phased schedule strengthens contact constraints over time, and camera control concentrates the optimization on the interaction region. To enable evaluation, we curate a benchmark containing diverse categories and relations, and compare against baselines. Our method outperforms all alternatives, yielding semantically faithful and physically plausible alignments.
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Governments like Spain and France issued Letters of Marque, because getting private citizens to harass enemy shipping was cheaper than raising a large navy and there was a level of plausible deniability but the US has a ridiculously bloated military budget and the GOP is very open about not caring about American laws or international treaties. What's the point?
#GOP #Politics #USPolitics #USPol
Non-Gravitational Acceleration in 3I ATLAS: Constraints on Exotic Volatile Outgassing in Interstellar Comets
Florian Neukart
https://arxiv.org/abs/2511.07450 https://arxiv.org/pdf/2511.07450 https://arxiv.org/html/2511.07450
arXiv:2511.07450v1 Announce Type: new
Abstract: The interstellar comet 3I/ATLAS exhibited a measurable nongravitational acceleration similar in form to that of 1I/'Oumuamua but of smaller magnitude. Using thermophysical and Monte Carlo models, we show that this acceleration can be fully explained by anisotropic outgassing of conventional volatiles, primarily CO and CO2, under realistic surface and rotational conditions. The model includes diurnal and obliquity-averaged energy balance, empirical vapor-pressure relations, and collimated jet emission from localized active regions. Mixed CO-CO2 compositions reproduce both the magnitude and direction of the observed acceleration with physically plausible active fractions below one percent for nucleus radii between 0.5 and 3 km. Less volatile species such as NH3 and CH4 underproduce thrust at equilibrium temperatures near 1 AU. These results eliminate the need for nonphysical or exotic explanations and define thermophysical limits for natural acceleration mechanisms in interstellar comets.
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Manifolds and Modules: How Function Develops in a Neural Foundation Model
Johannes Bertram, Luciano Dyballa, T. Anderson Keller, Savik Kinger, Steven W. Zucker
https://arxiv.org/abs/2512.07869 https://arxiv.org/pdf/2512.07869 https://arxiv.org/html/2512.07869
arXiv:2512.07869v1 Announce Type: new
Abstract: Foundation models have shown remarkable success in fitting biological visual systems; however, their black-box nature inherently limits their utility for under- standing brain function. Here, we peek inside a SOTA foundation model of neural activity (Wang et al., 2025) as a physiologist might, characterizing each 'neuron' based on its temporal response properties to parametric stimuli. We analyze how different stimuli are represented in neural activity space by building decoding man- ifolds, and we analyze how different neurons are represented in stimulus-response space by building neural encoding manifolds. We find that the different processing stages of the model (i.e., the feedforward encoder, recurrent, and readout modules) each exhibit qualitatively different representational structures in these manifolds. The recurrent module shows a jump in capabilities over the encoder module by 'pushing apart' the representations of different temporal stimulus patterns; while the readout module achieves biological fidelity by using numerous specialized feature maps rather than biologically plausible mechanisms. Overall, we present this work as a study of the inner workings of a prominent neural foundation model, gaining insights into the biological relevance of its internals through the novel analysis of its neurons' joint temporal response patterns.
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