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[/home/xbelanch/.trash  @xbelanch]

I'm absolutely convinced this scenario is becoming real and not just another conspiracy theory. The only thing I disagree is the "algorithmic curation". We tend to gift too much intelligence to the Other or Unknown when it's a simple Catastrophe theory's phenomena.

[cat @a_musingcat]

accelerate

[Guillem Dels Comptesclars @Comptesclares]

1/14 🧨
Hisenda tanca la campanya de la Renda amb doble rècord: 10.623 milions d'euros, un 50% més que l'any passat. I 2.512 milions per patrimoni, un 9% més.

Mentre tu pagues, ells celebren. I tu sense saber per què. Ull, recauden un 50% més perquè tu ingresses un 50% més, oi?

Molt Espanya, molt Mundial, molt Cucurella però a Espanya, l’única cucurella que li fa cucurelles és la pasta. I si és dels catalans, millor.

Si voleu que us ho expliqui de viva veu, cliqueu el vídeo, si no…

Seguiu-me. 🧵👇

[Eduard Díaz @edp]

A nivell fiscal, les comunitats que recapten més diners pels diferents grans tributs, son per aquest ordre:

IRPF: Catalunya.
Patrimoni: Catalunya.
Succesions: Catalunya.

I les ciutats amb els tipus d’IBI més elevats de tot l’Estat:

Reus: 1,202%
Girona: 1,041%
Tarragona: 1,023%
Manresa: 1,005%
Granollers: 0,991%
Lleida: 0,947%

Apa, i ara ja podeu anar a fer el vermouth ..,

[Aleix Salvans @aleixsalvans]

Una institució pública licita el manteniment d'una via.

L'empresa guanyadora fa treballar un operari amb una radial sota un sol que esberla les pedres, cosa prohibida per prevenció d'incendis.

Es cala foc, s'arresta l'operari i ningú no assumeix cap responsabilitat.

[NEGRO @ultrafosc]

Impressionant
Un puto pais de subnormals

[Xàldiga  @Mntscll]

@3CatInfo La Núria Parlón al costat de l’inspector en cap dels Bombers 😓🤦🏻‍♀️ #IFBisbaldEmpordà

[Jordi Serracant Carré @JordiSerracant]

Sense comentaris.

[Guillem Dels Comptesclars @Comptesclares]

FIL — 1/13

Quan un projecte "cultural" públic ve amb roda de premsa, alcalde somrient i nom en anglès que sona a Silicon Valley, al Menjòmetre se'ns eriça la pell.

Gallina de piel, com deia l’holandès.

No és una intuïció humana, però. És un patró algorítmic.

Us expliquem per què amb el Catalunya Media City, dada a dada.

[Power to the People ☭🕊 @ProudSocialist]

The greatest tweet of all time.

[Yasmine Khosrowshahi @yasminekho]

Stanford professor Judy Fan went on stage at MIT and broke down why humans are so good at making the invisible visible...

And why AI hasn't actually learned to "see" the way we do.

It completely changes how you think about Human Intelligence v/s Artificial Intelligence:

1. Nature never gave us straight lines or sharp corners. The number line, the coordinate plane, even basic geometry are all human inventions. We created tools that do not exist in nature simply because we needed a way to think more clearly.

2. The coordinate system Descartes invented solved a problem that had stumped mathematicians for centuries, doubling the volume of a cube. Once invented, this tool became so indispensable that virtually every math curriculum on Earth still depends on it.

3. Humans have been doing this for at least 30,000 to 80,000 years. The story of human progress is inseparable from the story of marking up our environment, from cave walls to Galileo's telescope to Feynman diagrams of particles we will never see with our own eyes.

4. Every major scientific breakthrough relied on a visual tool that made something invisible visible. Darwin needed side-by-side illustrations of finches to see variation that was otherwise too subtle to notice. Cajal needed detailed drawings of neurons under a microscope to map how the nervous system was wired.

5. Fan's research group studies something deceptively simple: how people decide what to put into a drawing and what to leave out. When two people played a drawing game, sketchers used far more detail when the target object had close competitors than when it stood alone, all the way down to using fewer strokes and less time when more detail was not necessary.

6. People are not just copying what they see. They are making constant judgment calls about what level of detail actually serves the goal of communication, and they do this naturally without ever being taught the theory behind it.

7. There is a real difference between drawing something so someone can identify it and drawing something so someone can understand how it works. In one study, participants drew explanatory diagrams that emphasized moving, causal parts of a machine while depictive drawings emphasized background and overall appearance, even though both were drawing the exact same object.

8. Explanatory drawings were genuinely better at helping someone figure out how to operate a machine, but worse at helping someone identify which machine it actually was. You cannot optimize a single drawing for both goals at once. Communication always involves tradeoffs.

9. AI vision models trained on photographs generalize surprisingly well to simple, sparse sketches, suggesting that resemblance based recognition is not just a story we tell ourselves. It is something modern neural networks can replicate with real accuracy.

10. But there remains a large, measurable gap between how confidently AI models recognize sketches and how confidently humans do, even when both groups answer the same questions about the same images. Humans are simply far more reliable and far more consistent in their judgments.

11. When researchers compared human-made sketches to AI-generated sketches under tight stroke budgets, both were similarly recognizable at higher budgets, but diverged sharply as the budget shrank. Humans and AI systems simplify drawings in fundamentally different ways once resources get scarce.

12. Reading a graph is not one single skill. It involves perception, knowing where to look, mapping that visual information onto the actual question being asked, and then translating that mapping into an answer. Each of these steps can independently break down, and people fail for very different underlying reasons even when they land on the same wrong answer.

13. When tested directly against humans on graph reading tasks, leading multimodal AI models, including GPT-4V, showed a meaningful performance gap. Even when a model's overall accuracy approached human levels, its pattern of mistakes looked nothing like how humans actually get things wrong.

14. People choose entirely different types of charts depending on what specific question they are trying to answer, not out of a generic preference for bar charts or scatter plots. Their chart choices closely tracked which visualization would genuinely help someone answer that specific question correctly.

15. Two of the most widely used graph literacy tests in education research turned out to correlate strongly with each other, suggesting they measure overlapping skills. But when researchers dug into the actual error patterns, the standard categories used in textbooks, like "find the maximum" or "identify a cluster," failed to explain why people got things wrong nearly as well as a more basic, underlying four-factor model did.

16. The deepest goal behind all of this research is not just academic curiosity. It is to eventually help students and everyday people develop genuine literacy with the visual tools that science and modern decision-making increasingly depend on, because every generation should be able to see further than the last by standing on the visual tools the previous generation built.

Follow @yasminekho for more ideas on thinking better, becoming clearer & building a more intentional life.

[Abel Riu @abel_riu]

Això és molt gros. Però molt, molt gros. Pura vessant corrupta inherent al procés de subdesenvolupament programat que comanda el PSC, i impropi d'un país democràtic que es respecta a si mateix. Malauradament, ara mateix Catalunya ni és una democràcia ni es respecta a si mateixa.

[Guillem Dels Comptesclars @Comptesclares]

Aquesta piulada porta 200.000 visualitzacions. Arribarà a 300.000. Cap dubte que genera interès social.

Pregunta: creieu que se’n farà ressó algun mitjà catala tipus La Vanguardia, El Periodico, l’Ara o TV3?

Vinc del Pallars (renascut a Silicon Valley) i em costa entendre el que passa a Catalunya amb els mitjans. No saben el que és el quart poder?

[Guillem Dels Comptesclars @Comptesclares]

0/ 🧵 NO us heu sorprès, des de fa un temps, que a l'entrada de Barcelona ha aparegut un gratacels de 25 plantes enmig del no-res?

Aquesta torre. La que veieu venint per la Diagonal o la Ronda de Dalt. Doncs té una explicació. I no és la que us han venut com a "districte d'innovació en salut".

Te tota una trama que explica com funciona aquest país 👇

[El Boig de Can Fanga @BoigBCN]

"Teniu calor? Doncs aneu al Corte Inglés com feia la meva tia Paca".

Barcelona juny de 2026.

[/home/xbelanch/.trash  @xbelanch]

@analogalok Cool benchmark, but my hands-on with gemma-4-26B-A4B-it-qat was less “agent unlock” and more “great local inference, fragile agent.” It runs, yes. But 64k ctx + tok/s ≠ reliable edit loop: it still hallucinated execution, overplanned, and got stuck in destructive file edits.

[Luiza Jarovsky, PhD @LuizaJarovsky]

🚨 BREAKING: Norway BANS the use of AI in primary school, with its Prime Minister adding that children should focus on learning to write, read, and do math.

They have my full support.

This is not 2004 anymore. We are past the social media hype and seem to have learned the lesson.

Technology should not interfere with the learning process or with children's intellectual and emotional development.

Some steps should not be skipped, regardless of the shiny new tech available. AI can wait until they are older.

Kudos to Norway! Which country do you think will be next?

I'll keep you posted!

-

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[Salvador Illa Roca @salvadorilla]

Enhorabuena José Luis Ábalos, ministro de Fomento. Un placer poder acompañarte en tu toma de posesión. @abalosmeco