For certain uses, dumb tech is sufficient, or at least should be an option.
Or smart but local/on your own network.
Je dĂ©couvre ce matin une fonctionnalitĂ© native iOS 26 (dispo sous tous les OS Apple dâailleurs)
Dans Centre de ContrÎle, tu ajoutes le widget « Son en arriÚre-plan »
En restant appuyer sur lâicĂŽne, tu peux sĂ©lectionner le volume et le type de son
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Meet June, private AI on your Mac.
June bundles it all in one:
- An agent + chat
- Voice dictation into any app
- Automated meeting notes
- Private OSS & anonymized frontier models
Files, context, and data stay yours.
Open source. MIT.
Try it: opensoftware.co/june
đ€
Welp, that happened faster than I predicted. Thought it would be end of 2027, then early 2027, but agentic traffic growing so fast that bots have now passed human traffic online for the first time in the Internet's history. radar.cloudflare.com/trafficâŠ
Un bon exemple pour comprendre ce qu'est le vibecoding // ce que peut facilement faire l'IA aujourd'hui sur ce domaine.
Et encore, on est aujourd'hui à Opus 4.6 (la vidéo sur Opus 4.5 a été publiée il y a 2 mois)
oh my... People need to wake up to Claude Code w/ Opus 4.5
He just rebuilt a $1.2 BILLION app in 30 minutes.
All on @v_computer without writing code.
Timestamps
00:00 Intro
00:58 Planning My App Build
03:08 Tool we're using
04:58 Prompt for my app
07:34 Fix Video Upload
08:40 Testing Version 1
10:13 Changing Color Themes
15:00 Adding Hover Effect
17:58 Adding Google Images API
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Anthropic's Revealing Chart on AI's Impact on Jobs
Anthropic has unveiled a pivotal chart that underscores the chasm between AI's capabilities and its real-world application in the workforce.
Derived from analyzing 2 million actual conversations with Claude, this radar chart, titled "Theoretical Capability and Observed Usage by Occupational Category," paints a stark picture of untapped automation potential across various job sectors.
At its core, the chart is a spider web diagram plotting occupational categories around a circular axis, with values ranging from 0 to 1.0 representing the share of job tasks.
The expansive blue area illustrates the theoretical coverage tasks that large language models (LLMs) like Claude could perform right now based on their inherent abilities. In contrast, the much smaller red area shows observed usage, drawn from real user interactions.
The visual disparity is immediate and profound: blue spikes outward significantly in fields like computer and math (reaching about 0.75), business and finance, and office administration, while red hugs close to the center, often below 0.2 across most categories.
This gap isn't just academic; it's a "career runway," as highlighted in discussions around the chart. For programmers, 75% of tasks are theoretically automatable, yet actual usage lags far behind.
Similar vulnerabilities appear in customer service, data entry, and financial analysis, roles traditionally seen as white-collar strongholds. Meanwhile, hands-on fields like construction, agriculture, and protective services show lower theoretical exposure, with blue areas dipping to around 0.1-0.3, suggesting AI's current limitations in physical or unpredictable environments.
Broader data amplifies the chart's message. As of early 2026, 49% of U.S. jobs expose at least 25% of tasks to AI, up from 36% a year prior. Yet, mass layoffs haven't materialized; unemployment in AI-vulnerable roles remains steady.
Instead, subtler shifts are underway: a 14% drop in hiring for 22-25-year-olds in exposed positions indicates companies are prioritizing experienced workers, shortening entry-level pathways for recent graduates.
The implications are clear: while AI's red footprint grows incrementally each month, the blue expanse signals accelerating change. College-educated, higher-earning professionals, once insulated are now most at risk, flipping the script on traditional labor disruptions.
Anthropic's chart isn't a doomsday prophecy but a wake-up call, urging workers and businesses to bridge the gap through adaptation, upskilling, and ethical integration of AI tools.
Please read the 5000 Days Series at ReadMultiplex.com for answers on how you can thrive in the Interregnum.
Antoine retweeted
THE BIG REGRESSION
My folks are in town visiting us for a couple months so we rented them a house nearby.
Itâs new construction. No one has lived in it yet. Itâs amped up with state of the art systems. The ones with touchscreens of various sizes, IoT appliances, and interfaces that try too hard.
And itâs terrible. What a regression.
The lights are powered by Control4. And require a demo to understand how to use the switches, understand which ones control what, and to be sure not to hit THAT ONE because itâll turn off all the lights in the house when you didnât mean to. Worse.
The TV is the latest Samsung which has a baffling UI just to watch CNN. My parents arenât idiots, but definitely feel like theyâre missing something obvious. They arenât â TVs have simply gotten worse. You donât turn them on anymore, you boot them up.
The Miele dishwasher is hidden flush with the counters. That part is fine, but hereâs what isnât: It wouldnât even operate the first time without connecting it to an app. This meant another call to the house manager to have them install an app they didnât know they needed either. An app to clean some peanut butter off a plate? For serious? Worse.
Thermostats... Nest would have been an upgrade, but these other propriety ones from some other company trying to be nest-like are baffling. Round touchscreens that take you into a dark labyrinth of options just to be sure itâs set at 68. Or is it 68 now? Or is that what we want it at, but itâs at 72? Wait... What? Which number is this? Worse.
The alarm system is essentially a 10â iPad bolted to the wall that has the fucking weather forecast on it. And itâs bright! Iâm sure thereâs a way to turn that off, but then the screen would be so barren that it would be filled with the news instead. Why canât the alarm panel just be an alarm panel? Worse.
And the lag. Lag everywhere. Everything feels a beat or two behind. Everything. Lag is the giveaway that the system is working too hard for too little. Real-time must be the hardest problem.
Now look... Iâm no luddite. But this experience is close to conversion therapy. Tech can make things better, but I simply canât see in these cases. Iâve heard the pitches too â you can set up scenes and one button can change EVERYTHING. Not buying it. It actually feels primitive, like we havenât figured out how to make things easy yet. That some breakthrough will eventually come when you can simply knock a switch up or down and itâll all makes sense. But that's at least 20 years down the road.
Itâs really the contrast that makes it alarming. We just got back from a vacation in Montana. Rented a house there. They did have a fancy TV â seems those canât be avoided these days â but everything else was old school and clear. Physical up/down light switches in the right places. Appliances without the internet. Buttons with depth and physically-confirmed state change rather than surfaces that donât obviously register your choice. More traditional round rotating Honeywell thermostats that are just clear and obvious. No tours, no instructions, no questions, no fearing youâre going to do something wrong, no wondering how something works. Useful and universally clear. Thatâs human, thatâs modern.
Antoine retweeted
Si vous voulez vĂ©rifier que le pĂšre NoĂ«l sera Ă lâheure⊠đ
đ» đ fr24.com/R3DN053/3d9fb50a
đĄđ€âïž
Most people still have no idea how insanely powerful the Shortcuts app actually is
For example hereâs an âanti theft shortcutâ that turns on low power mode.. takes a front camera photo and sends that photo along with live location to your chosen number.. ALL JUST BY SENDING A MESSAGE FROM ANY OTHER PHONE
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Can AI help understand how the brain learns to see the world?
Our latest study, led by @JRaugel from FAIR at @AIatMeta and @ENS_ULM, is now out!
đ arxiv.org/pdf/2508.18226
đ§” A thread:
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Introducing GPT-5
Our best AI system yet, rolling out to all ChatGPT users and developers starting today.
openai.com/index/introducingâŠ
Petit rappel, les numéros de démarchage commencent forcément par : 01-62 01-63 02-70 02-71 03-77 03-78 04-24 04-25 05-68 05-69 09-48 09-49
(France métropolitaine)
Ces appels sont forcément entre 10h et 13h puis de 14h à 20h.
Si vous ĂȘtes appelĂ©s hors de ce cadre : đš escroc !
Antoine retweeted
Did you know that Nintendo made an accessible controller for the NES back in 1989?
It's called the NES Hands-Free and was aimed at gamers with special needs who couldn't hold a NES controller. The hands-free controller strapped to the chest of the gamer and allowed them to control the D-pad and buttons with their mouth. It cost $120 back in the day and is now an interesting collectible and a slice of Nintendo's gaming history!
#NES #Nintendo #AccessibleGaming































