Clovis :bdx_town:

Clovis :bdx_town:

@clovis.bdx.town.ap.brid.gy

BDX.town admin Créons des trucs cools ensemble. J'aime les belles choses et leur sourire. J'aimerais apprendre à prendre le temps. Mangane, an Akkoma frontend […] 🌉 bridged from ⁂ https://bdx.town/users/clovis, follow @ap.brid.gy to interact

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Clovis :bdx_town:
@clovis.bdx.town.ap.brid.gy

En ce moment je bosse sur un petit jeu uxn, que j’encapsule dans une version modifiée d’uxn2 Pour gérer toute l’ui de manière un peu plus funky / complexe avec l’ambition de faire tourner ça sur mobile J’ai longtemps réfléchi avant de le faire étant donné que ça rendait mon jeu incompatible […]

bdx.townOriginal post on bdx.town
Clovis :bdx_town:
@clovis.bdx.town.ap.brid.gy

“I have designed many 8x8 bitmap fonts over the years. They are freely available to be used in games you create in exchange for a mention in the credits section or perhaps a coffee?. I know of 310 usages in games and apps so far.” https://damieng.com/typography/zx-origins/ #gamedev #font

damieng.comZX Origins - DamienGZX Origins is a huge collection of 8x8 bitmap fonts by Damien Guard. They are available for use in games you create in exchange for a credit.
Clovis :bdx_town:
@clovis.bdx.town.ap.brid.gy

Bitchat mesh : pourquoi la messagerie sans Internet de Jack Dorsey cartonne - Numerama https://www.numerama.com/tech/2359089-bitchat-mesh-cest-quoi-cette-messagerie-sans-internet-qui-cartonne.html Cool que ça intéresse les gens ce genre de truc !

numerama.comBitchat mesh : pourquoi la messagerie sans Internet de Jack Dorsey cartonneBitchat mesh, la messagerie de Jack Dorsey qui fonctionne en Bluetooth sans connexion Internet, grimpe dans le classement de l'App Store cette semaine, qui

Clovis :bdx_town: reposted

Elsa
@skaperla.piaille.fr.ap.brid.gy

Plein de stickers de nos petits néonazis locaux dans mon quartier aujourd'hui, heureusement il y a la brigade antifa à la rescousse, wouf wouf ! Mais je n'en ai plus et je ne sais plus où j'ai acheté ces stickers antifa, tout ce que je sais c'est que je les avais […] [Original post on piaille.fr]

Clovis :bdx_town:
@clovis.bdx.town.ap.brid.gy

Sur Dofus, ce joueur relève un défi fou : atteindre le niveau 200 sans quitter Incarnam (il y est presque) - Numerama https://www.numerama.com/pop-culture/2345491-sur-dofus-ce-joueur-releve-un-defi-fou-atteindre-le-niveau-200-sans-quitter-incarnam-il-y-est-presque.html #dofusb

numerama.comSur Dofus, ce joueur relève un défi fou : atteindre le niveau 200 sans quitter Incarnam (il y est presque)Sur Dofus, « le fou d'Incarnam » s’est lancé un défi : atteindre le niveau 200 sans jamais quitter la zone des débutants. Déjà niveau 195, il raconte sa progression sur X. Si vous jouez à Dofus, vous avez peut-être déjà atteint le niveau 200, qui est le niveau maximal atteignable. Mais auriez-vous tenté la même chose
Clovis :bdx_town:
@clovis.bdx.town.ap.brid.gy

Ça me fait toujours plaisir de voir que, même si on a beaucoup de lurkers, on file quand même l’accès au fedivers pour 20 personnes actives tous les mois :3 L’idéal pour moi ce serait de ramener les coûts mensuels à 20€ pour que ce soit 1€ par personne et par mois, on y est pas loin en soit !

Clovis :bdx_town:
@clovis.bdx.town.ap.brid.gy

Si tout roule, AJD c’est mise en place du variateur sur la mob et elle sera terminée sur l’aspect technique ! Après s’agira de dérouiller le réservoir et de la repeindre hehe Par contre ça fait minimum 100 balles de peinture :’(

Clovis :bdx_town:
@clovis.bdx.town.ap.brid.gy

AI Efficiency Could Cost Us the Next Generation of Experts Lessons from aviation and nuclear power show how to preserve human skills https://spectrum.ieee.org/ai-engineer-skills #ai

spectrum.ieee.orgAI Efficiency Could Cost Us the Next Generation of Experts A little over a decade ago, I led the controls design for a first-of-its-kind full digital-control system for a U.S. nuclear plant. It was, on paper, a beautiful machine—engineered to run itself the way a modern airliner does, with operators watching over a system that rarely needed them. And we made a decision that, to an efficiency-minded observer, looked backward: We deliberately left manual steps inside sequences the system could execute on its own. We were solving a specific problem. An operator who only ever supervises automation slowly stops being an operator. The hands go cold. The mental model of what the plant is actually doing gets fuzzy. Then comes the day the automation hands control back. It’s always the worst day, because automation only quits when it’s confused or in trouble. But by then, you have a person in the chair who hasn’t truly operated the thing in years. The manual steps were there to keep the human current. It was inefficient by design, on purpose. That plant, as it happened, was never built. It was shelved amid the politics and economics that surround nuclear power in this country, for reasons that had nothing to do with the engineering. But the design instinct outlived the project, and I’ve come to believe it’s the most useful idea I can offer to the argument now consuming every boardroom: What happens to human expertise when AI does the work that used to build it? ## AI Is Disrupting the Engineering Career Ladder The data has gotten hard to wave away. A Harvard University working paper covering some 65 million workers at more than 280,000 U.S. firms found that after companies adopted generative AI, junior employment fell roughly 9 percent within six quarters relative to nonadopters, while senior employment kept right on growing. A Stanford analysis of ADP payroll records points the same way: The youngest workers in the most AI-exposed occupations lost ground after late 2022 while their more-experienced colleagues held theirs. The Stanford researchers found that the losses concentrate where AI automates the work; where it merely augments, junior employment holds steady or rises. The causal story is still contested, and honesty requires saying so. Researchers at the New York Fed attribute much of the rise in young-graduate unemployment not to AI but to remote work, arguing that firms are reluctant to hire inexperienced people whom they cannot train and mentor at a distance. But notice what the explanations share. Whether a model is absorbing the formative work or distance is severing the mentorship around it, both describe the same broken mechanism: the apprenticeship channel through which expertise passes from senior to junior. Either way, “entry-level” has quietly come to mean “three years of experience required.” Strip away the noise and you’re left with one deceptively simple problem: You cannot become a senior engineer without first being a junior one _._ Expertise is not downloaded. It is earned through failed builds, dead-end debugging sessions, and the “why on earth did that work” moments that a capable AI will now happily spare the newcomer. Spare them enough of those and you produce a cohort that can supervise a model on paper but never developed the gut sense to know when the model is confidently, catastrophically wrong. Most of the commentary stops at the diagnosis, or reaches for policy solutions that treat the loss of junior jobs as an economic problem. Yet it’s also an engineering problem, and safety-critical fields have already spent decades learning how to solve it. ## Aviation’s Lessons About the Automation Paradox My own career started at the sharp end of automation. My first job out of school was verifying and validating the software in the digital jet-engine controller that decides, faster than any pilot could, how a fighter plane’s engine responds. Even then, in the late 1980s, the central tension was visible: The machine outperforms the human in routine cases, but the human is all that stands between the aircraft and disaster in the cases the machine didn’t anticipate. This tension is known as the automation paradox, in which increasingly capable automation gives human operators less practice, while leaving them only the most difficult situations. Aviation learned, repeatedly and expensively, what happens when human skills atrophy inside that gap. The canonical example is Air France flight 447, which fell into the Atlantic in 2009. The proximate cause was mundane. Iced-over airspeed sensors fed the autopilot bad data, and it did what it is designed to do: It disconnected and handed control of the airplane back to the crew. What followed was not a hardware failure. It was a competence failure. A recoverable situation became an unrecoverable one because the pilots, conditioned by thousands of hours of watching the automation fly, could not read a high-altitude aerodynamic stall and hand-fly their way out of it. The airplane was working. The training the automation had quietly eroded was not. The industry’s response is instructive, and it’s the same move we made in that nuclear control room. It did not rip out the autopilot. It built deliberate manual practice back in. In 2017 the FAA issued Safety Alert for Operators 17007, “Manual Flight Operations Proficiency,” declaring that “manual flight is the foundation upon which other technical flying skills are built.” The alert formally recognized skill decay as a hazard in its own right. Some airlines amended their procedures to encourage hand-flying both the initial climb and initial descent in benign conditions, knowingly trading a sliver of fuel efficiency to keep the crew’s raw flying skills alive. That trade is the whole point. A perfectly optimized system that produces incompetent operators is not optimized at all. It has simply moved its failure mode somewhere the spreadsheet can’t see it. ## Manual Gates Could Preserve Engineering Skills Put the aviation lesson and the nuclear instinct side by side and they point to one design pattern we now need in AI-augmented work: the deliberate “manual gate.” A manual gate is a point in a workflow where a human takes the controls, not because it is the fastest way to get the task done, and not only as a safety interlock, but specifically to exercise and preserve a skill that would otherwise decay. The distinguishing feature is that it is chosen. You decide, as a matter of design, which competencies your organization must keep alive in human beings because those are the ones you will need on the bad day. Then you engineer the friction required to keep them warm. Picture how this might work on a software team that leans on AI for most of its code. The team places a manual gate around the skill it can least afford to lose: debugging. When a defect surfaces in a critical module, the assigned engineer—deliberately, often a junior one—must first reproduce the failure, trace it to root cause, and write an automated test that captures the bug, all with the AI assistant switched off. Only after the engineer commits to a diagnosis does the model come back on, to propose the fix, generate alternatives, and sweep the code base for similar bugs. The engineer then compares their diagnosis against the model’s. When the two disagree, that’s the design working, surfacing the disagreement before the bad day instead of during it. This approach reframes the junior engineer entirely. The instinct today is to let AI do the entry-level work because it is faster and cheaper. But some of that work is not overhead to be eliminated. It is the training apparatus of your future senior staff, and you should protect it the way you’d protect any other piece of critical infrastructure. It may not be efficient this quarter, but dismantling it quietly mortgages your capability a decade out. ## Why Companies Must Keep Training Junior Engineers None of this is free, and pretending otherwise would insult the people who have to sign the budgets. A deliberate manual gate is, by construction, less efficient in the near term than full automation. Keeping juniors doing formative work and running the manual sequences costs something now to protect something later. That’s a hard sell in a market that judges most leaders on quarterly results. A hired executive who carries “unnecessary” humans that AI could replace will hear about it from the board long before the payoff arrives. The math only works for someone insulated from that pressure: a founder with control, a private company, an institution with a genuinely long horizon, or a regulator willing to require workers to demonstrate their skills regularly, as pilots must. Which means the organizations most likely to preserve their own expertise are the ones structurally able to spend short-term margin on long-term capability; everyone else will need that outside push. So here is the argument, in one line: Deliberate inefficiency is not waste. In safety-critical engineering we have always known it as insurance, and we buy it on purpose. As AI takes over the work where expertise is forged, the smart move is not to resist the automation. It is to keep our hands on the controls by design—so that when the automation fails, as it always eventually does, there is still someone in the chair who knows how to fly.
Clovis :bdx_town:
@clovis.bdx.town.ap.brid.gy

J’me rappelle de cette fois au collège ou un mec prétendait que les coucous n’existaient pas et que c’était un truc de chansonnette alors qu’on était littéralement en train d’en entendre un

Clovis :bdx_town: reposted

juliette
@juliette.mastodon.green.ap.brid.gy

I kinda knew this, but it still blows my mind: "The hydrogen in your body and present in every molecule of water came from the Big Bang." From today's APOD: https://science.nasa.gov/image-article/apod-2026-september-14-where-your-elements-came-from/

science.nasa.govscience.nasa.govAPOD Astronomy Picture of the Day Discover the cosmos! Each day a different image or photograph of our fascinating universe is featured, along with a brief explanation written by a professional astronomer. # Where Your Elements Came From **Explanation:** The hydrogen in your body and present in every molecule of water came from the Big Bang. There are no other appreciable sources of hydrogen in the universe. The carbon in your body was made by nuclear fusion in the interior of stars, as was the oxygen. Much of the iron in your body was made during supernovas of stars that occurred long ago and far away. The gold in your jewelry was likely made from neutron stars during collisions that may have been visible as short-duration gamma-ray bursts or gravitational wave events. Elements like phosphorus and copper are present in our bodies in only small amounts but are essential to the functioning of all known life. The featured periodic table is color coded to indicate humanity's best guess as to the nuclear origin of all known elements. The sites of nuclear creation of some elements, such as copper, are not really well known and are continuing topics of observational and computational research. **APOD's main NASA site ismoving:** From apod.nasa.gov to science.nasa.gov/apod **Tomorrow's picture:** Sun triple Date: | September 14, 2026 ---|--- Credit: | NASA GSFC's SVS Authors & editors: | Robert Nemiroff, Jerry Bonnell, Cecilia Chirenti, Keighley Rockcliffe A service of: | ASD at NASA / GSFC, NASA Science Activation & Michigan Tech. U. Random APOD Generator Yesterday's Image APOD: 2026 September 13 – Comet NEOWISE Rising over the Adriatic Sea Tomorrow's Image
Clovis :bdx_town:
@clovis.bdx.town.ap.brid.gy

C’est vrai que j’ai jamais précisé que si je regarde autant de daubes c’est parce que je les prends au pif dans des listings essentiellement dans des catégories fantastique ou horreur donc….

Clovis :bdx_town:
@clovis.bdx.town.ap.brid.gy

Hier soir c’était L’ombre du vampire, trouvable sur youtube en vo et vf Un film sur le tournage de Nosferatu, sauf qu’ici Max Schreck est effectivement un vrai vampire C’était pas mal ! #cinema

Clovis :bdx_town:
@clovis.bdx.town.ap.brid.gy

Et puis faut le voir parler de son oeuvre hein https://www.numerama.com/pop-culture/2313273-ridley-scott-refuse-de-prendre-sa-retraite-alors-que-ses-derniers-films-le-poussent-vers-la-sortie.html

numerama.comRidley Scott refuse de prendre sa retraite, alors que ses derniers films le poussent vers la sortieAlors qu'il fêtera ses 89 ans à la fin de l'année, le réalisateur britannique Ridley Scott martèle son refus catégorique de poser sa caméra. Mais alors que ses dernières réalisations enchaînent les déceptions critiques et commerciales et qu'un Gladiator 3 pointe déjà à l'horizon, cette boulimie de tournages pose une
Clovis :bdx_town:
@clovis.bdx.town.ap.brid.gy

D&D annonce un cross-over avec Star Wars D&D Vision Keynote Recap: World of Warcaft®, Dark Sun, Star Wars™, Icons, and More | Dungeons & Dragons https://www.dndbeyond.com/posts/2215-d-d-vision-keynote-recap-world-of-warcaft-dark-sun #starwars #dnd

dndbeyond.comD&D Vision Keynote Recap: World of Warcaft®, Dark Sun, Star Wars™, Icons, and MoreDark Sun returns, D&D; heads to Azeroth, legendary creators join the studio, and a galaxy-sized surprise closes out D&D;'s biggest vision update yet.
Clovis :bdx_town:
@clovis.bdx.town.ap.brid.gy

How the sims made new age jazz piano the soundtrack of our lives https://www.polygon.com/video/how-the-sims-made-new-age-jazz-piano-the-soundtrack-of-our-lives/ #sims

polygon.comHow The Sims Made New-Age Jazz Piano the Soundtrack of Our LivesThe Sims soundtrack is an iconic piece of video game music, and the build mode's minimalist new age jazz piano songs are undoubtedly among it's most famous tracks. We spoke to Jerry Martin, the composer of the soundtrack, to find out how and why new age jazz piano became the sound of The Sims.