bonfire.cafe · bonfire.cafe

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Showing activities from people in this circle

Ben boosted

all new horrowfide

@horrowfiddy@mastodon.social · 5 days ago

having fun with the BK logo generator.
https://pixelframe.design/burger-king-logo-font-generator/

Burger King Logo Generator - Custom Font, Free Downloads

Create custom graphics in the iconic Burger King logo style. Type anything and generate your own bold, bun-sandwiched text.

Danielle Foré

@danirabbit@mastodon.online · 1 hour ago

I started elementary as a high school student. When we were building the first versions of our desktop environment, one of our core developers was in high school and his parents accompanied him to the Ubuntu Developer Summit. How many things we have today wouldn’t exist if young people weren’t allowed to participate? The cost of not creating spaces that we can safely share with young people is too high

Lizzie vox populi, vox dei

@Lizette603_23@mastodon.social · 22 seconds ago

@danirabbit agree agree agree

Unnamed TNG skant beefcake boosted

Baldur Bjarnason

@baldur@toot.cafe · 7 hours ago

“Google developers significantly misstate carbon emissions of proposed UK datacentres | Google | The Guardian”

https://www.theguardian.com/technology/2026/may/09/google-developers-significantly-misstate-carbon-emissions-of-proposed-uk-datacentres

> Emissions understated by factor of five

Why it's a mistake to take claimed environmental impact of data centres at face value

the Guardian

Google developers significantly misstate carbon emissions of proposed UK datacentres

Emissions understated by factor of five in Essex plans for tech giant, while Greystoke’s Lincolnshire plans show similar error

Unnamed TNG skant beefcake boosted

FKFTSH

@fuckfetish@fuckaas.space · 6 hours ago

I get that people have the best of intentions when they try to argue that Star Trek isn't a dead franchise, but... this is a series that once had a member of a resistance group inspired by real life Palestinian resistance as a sympathetic main character. And now it's apolitical CGIslop owned by a corporation that runs a blacklist of any actor who's ever spoken in support of Palestine.

https://www.wsws.org/en/articles/2025/11/08/ngvz-n08.html

#politics #startrek #uspol

World Socialist Web Site

Ellison-owned Paramount launches McCarthyite blacklist of actors opposed to Gaza genocide

A civil war is raging in the film, television and music fields between artists opposed to the mass murder in Gaza, as well as Trump’s fascist policies, and the upper echelons of studio executives and owners.

Unnamed TNG skant beefcake boosted

FKFTSH

@fuckfetish@fuckaas.space · 6 hours ago

Star Trek, as a franchise, exists to look forward. But under its current owners, the only thing Trek can do is look backwards. It has nothing to offer us but shallow nostalgia-bait. And I don't come to Trek because it has cool space people in funny costumes. I come to Trek because it explores ideas that I'll still be thinking about decades in the future.

Konrad Förstner 💻🧬🦠 boosted

Prof. Stefan Rahmstorf

@rahmstorf@fediscience.org · 6 hours ago

Why are scientists more concerned than ever before?
DW TV has a clip on the risk of instability of the Atlantic ocean overturning circulation #AMOC.
https://www.dw.com/en/ocean-current-europe-depends-on-is-at-risk-of-collapsing/video-77045279

dw.com

Ocean current Europe depends on is at risk of collapsing

A vast Atlantic current, the AMOC, shapes Europe's climate and global weather. Professor Stefan Rahmstorf breaks down why scientists are more concerned about its stability than ever before.

Dane 🌎🖖✌️☮️⚛️☸️🕉️ boosted

David Graeber Institute

@DGI@graeber.social · 3 days ago

Sometimes it is not complicated.

Ben boosted

horrowfide

@horrowfide@godforsaken.website · 2 years ago

I reckon I could kill Spiderman with a hammer if I caught him off guard.
#SpiderBastard

Hacker News

@h4ckernews@mastodon.social · 1 minute ago

GitHub Is Sinking

https://dbushell.com/2026/04/29/github-is-sinking/

#HackerNews #GitHub #Sinking #Tech #News #Software #Development #Open #Source #Developer #Community

dbushell.com

GitHub is sinking

The one where I suggest finding the nearest lifeboat

⁂

More from

David Bushell 🐝

Ben Ramsey boosted

matt trask

@matthewtrask@phpc.social · 4 hours ago

I made an index of the indie web/blog indexes out there so you can browse any kind of index you want to browse. I've curated it, but happy to take submissions!

#indieweb #blogs

https://theindex.fyi

theindex.fyi

The indie web index directory | theindex.fyi

A maintained, canonical meta-index of indie web and small web index sites. 39 entries across 6 categories.

Prof. Sam Lawler

@sundogplanets@mastodon.social · 34 minutes ago

Baby goat highway!

For whatever reason every generation of baby goats finds this tiny ledge of concrete and plays on it, and it's hilarious every year.

Thomas Wassermann

@Thomas_Wassermann@mastodon.social · 1 minute ago

@sundogplanets

Presumably, training that runs in the family?

https://youtu.be/I8-lhAXegiQsi=lnkRMgQ5Tpj-kbOn

Anuj Ahooja

@quillmatiq.com@bsky.brid.gy · 6 minutes ago

You can either build for a billion-dollar valuation or a cozy lil' corner for the folks who are just as uniquely odd as you are. Neither is wrong, but when we all have access to the same open network - why not both? Why not things in between? Why not all?

RE: https://bsky.app/profile/did:plc:sg2e2kqdsdp2q2zl44txadbp/post/3mlfrpoemjs2i

RE: https://bsky.app/profile/did:plc:sg2e2kqdsdp2q2zl44txadbp/post/3mlfrpoemjs2i

Anuj Ahooja

@quillmatiq.com@bsky.brid.gy · 2 minutes ago

I just think it would be a shame for us not to let creativity flourish in an age of open social protocols and downright magical dev tools

Ross Mounce boosted

Olivia Guest · Ολίβια Γκεστ

@olivia@scholar.social · yesterday

Preprinted! Been working on this for ~1 year w wonderful coauthors Nancy & Mark:

> Understanding Artificial Neural Networks: Mysterianism about Known Mechanism is Mysticism

https://doi.org/10.5281/zenodo.20071869

Have you noticed many experts say they don't understand AI? What's going on? 🤯 Let us tell you...

3 media

Understanding Artificial Neural Networks: Mysterianism about Known Mechanism is Mysticism

Olivia Guest, Nancy Abigail Nufiez Hernandez, and Mark Blokpoel

Mysterianism is the idea that human cognition, mind, cannot be understood. Taking this concept and applying it to known mechanism — such that claims are made that we do not know how engineered systems, such as artificial neural networks (ANNs), work, or that they constitute black boxes that we can only open with difficulty — is inappropriate at best and malicious at worst. We do know the mechanistic structure of such models because we designed and built them. We also do know their functional role (what they are for) as well as the mathematical function they are asked to approximate (map inputs to target outputs). Because mysterianist beliefs about known systems, such as ANNs, are often expressed, scientists need to sit up and take notice. We provide an error theory as to what is going on to help unpick this metatheoretical blunder. Ultimately, the problem is that ‘understanding’ is not a technical term in these cases: the word is co-opted for a specific narrative to sell ‘artificial intelligence’ through mystification. All computational systems, from pendulums to databases, will behave in ways we cannot predict or control — this is not a unique property of ANNs — and experts do indeed grasp the computational properties of these systems nonetheless. — Understanding Artificial Neural Networks: Mysterianism about Known Mechanism is Mysticism Olivia Guest, Nancy Abigail Nufiez Hernandez, and Mark Blokpoel Mysterianism is the idea that human cognition, mind, cannot be understood. Taking this concept and applying it to known mechanism — such that claims are made that we do not know how engineered systems, such as artificial neural networks (ANNs), work, or that they constitute black boxes that we can only open with difficulty — is inappropriate at best and malicious at worst. We do know the mechanistic structure of such models because we designed and built them. We also do know their functional role (what they are for) as well as the mathematical function they are asked to approximate (map inputs to target outputs). Because mysterianist beliefs about known systems, such as ANNs, are often expressed, scientists need to sit up and take notice. We provide an error theory as to what is going on to help unpick this metatheoretical blunder. Ultimately, the problem is that ‘understanding’ is not a technical term in these cases: the word is co-opted for a specific narrative to sell ‘artificial intelligence’ through mystification. All computational systems, from pendulums to databases, will behave in ways we cannot predict or control — this is not a unique property of ANNs — and experts do indeed grasp the computational properties of these systems nonetheless.

Figure 1

Three co-occurring (latent) assertions in the context of con-
temporary reasoning on Al and cognition. While they may
appear to hang together in “reflective equilibrium” (Elgin 2017),
their metatheoretical examination brings their contradictions to
light. Starting from the top, and moving clockwise: a) represents
the typical assertion of so-called cognitive, neural, or otherwise
biological plausibility or inspiration presented for ANNs; B) is
the claim we tackle head on here — both in terms of analysing
the constituent terms and in how it relates to the other two
assumptions; and y) exemplifies a type of mysterianism, which
while not always explicitly expressed, plays a background role
and importantly comes into conflict with the other two claims
in important ways. — Figure 1 Three co-occurring (latent) assertions in the context of con- temporary reasoning on Al and cognition. While they may appear to hang together in “reflective equilibrium” (Elgin 2017), their metatheoretical examination brings their contradictions to light. Starting from the top, and moving clockwise: a) represents the typical assertion of so-called cognitive, neural, or otherwise biological plausibility or inspiration presented for ANNs; B) is the claim we tackle head on here — both in terms of analysing the constituent terms and in how it relates to the other two assumptions; and y) exemplifies a type of mysterianism, which while not always explicitly expressed, plays a background role and importantly comes into conflict with the other two claims in important ways.

Figure 3

Not all systems, S; relate to their relevant data, D; and world
phenomena this way, but ANN models (as many inferential
statistical models) do when used without scientific understand-
ing of the data-generating process or without verbal or formal
theory to match (Guest and Martin 2025b, 2021, 2023). As we
move from left to right above, we move from full understanding
of engineered systems, S; to less or even possibly none of the
data, D; to the world which can be thought of as the set of
phenomena to be understood. — Figure 3 Not all systems, S; relate to their relevant data, D; and world phenomena this way, but ANN models (as many inferential statistical models) do when used without scientific understand- ing of the data-generating process or without verbal or formal theory to match (Guest and Martin 2025b, 2021, 2023). As we move from left to right above, we move from full understanding of engineered systems, S; to less or even possibly none of the data, D; to the world which can be thought of as the set of phenomena to be understood.

Zenodo

Understanding Artificial Neural Networks: Mysterianism about Known Mechanism is Mysticism

Mysterianism is the idea that human cognition, mind, cannot be understood. Taking this concept and applying it to known mechanism — such that claims are made that we do not know how engineered systems, such as artificial neural networks (ANNs), work, or that they constitute black boxes that we can only open with difficulty — is inappropriate at best and malicious at worst. We do know the mechanistic structure of such models because we designed and built them. We also do know their functional role (what they are for) as well as the mathematical function they are asked to approximate (map inputs to target outputs). Because mysterianist beliefs about known systems, such as ANNs, are often expressed, scientists need to sit up and take notice. We provide an error theory as to what is going on to help unpick this metatheoretical blunder. Ultimately, the problem is that 'understanding' is not a technical term in these cases: the word is co-opted for a specific narrative to sell 'artificial intelligence' through mystification. All computational systems, from pendulums to databases, will behave in ways we cannot predict or control — this is not a unique property of ANNs — and experts do indeed grasp the computational properties of these systems nonetheless.

Ben boosted

horrowfide

@horrowfide@godforsaken.website · 3 years ago

pagliacci: doctor, i'm depressed...

doctor: i understand, i'd be depressed if i had genital herpes.

pagliacci: what..!?

Marianne

@noodlemaz@mstdn.games · 2 minutes ago

@researchfairy fucken this
Stop being afraid of the 'hater' label
Stop equivocating and caveating
Stop being the sycophant you know the programs are designed to be!! #noToAI