DoomPosting

Over the last 3 months, AI-affected sectors posted an average monthly decline of -11,000 jobs. This includes roles in management consulting, graphic design, office administration, telephone call centers, computer systems, software publishers, and web search. Since mid-2023, there have been only 2 months with a net increase in employment in these sectors. By comparison, at its 2022 peak, employment in these industries increased by as much as +55,000 jobs per month. Furthermore, employers cited AI as the reason for 38,579 job cuts in May, the highest monthly total on record, according to Challenger Gray data. This marks the 3rd consecutive monthly increase since ~5,000 in February. The impact of AI on the labor market is becoming increasingly visible. 🄳🄾🄾🄼🄿🤖🅂🅃🄸🄽🄶

This proves that women live in a totally different reality. She actually thinks men only swipe right on the top 5-10% of women 🄳🄾🄾🄼🄿🤖🅂🅃🄸🄽🄶

Japan lost to Brazil 2-1 and their fans STILL stayed behind to clean the stadium, and IShowSpeed grabbed a bag and joined them. The most famous streamer alive picking up trash with heartbroken fans. The class of Japanese supporters is contagious. 🄳🄾🄾🄼🄿🤖🅂🅃🄸🄽🄶

— Russia's Africa Corps struck a pickup truck carrying militants near the village of Tidermène in the Ménaka Region of southeastern Mali, using a Lancet loitering munition 🄳🄾🄾🄼🄿🤖🅂🅃🄸🄽🄶

Git has taken another step towards making Rust mandatory. “With this v2.55 release the Rust compiler is required unless you explicitly disable it in the build system.” Specifically with the “NO_RUST=YesPlease” flag. The stated goal is to eventually make the Rust compiler a hard requirement for building Git. Effectively rendering Git incompatible with systems for which Rust is either nonexistent or too buggy. Don’t want the Rust tools on your system? Too bad. It’s being forced on you. With no significant new features, which require Rust, to justify the change. The Git development team stated that, “Bringing Rust into Git has been an ongoing (and unfinished)” effort. Interesting “Ongoing and unfinished” is also a good way to look at both the Rust language and Rust compiler. 🄳🄾🄾🄼🄿🤖🅂🅃🄸🄽🄶

A nation built on courage. 250 years later, the story continues. 🄳🄾🄾🄼🄿🤖🅂🅃🄸🄽🄶

Meta says Brain2Qwerty v2 can decode natural sentences from non-invasive brain recordings in real time, reaching 61% word accuracy. The system was trained on about 22,000 sentences from 9 volunteers, each recorded for 10 hours with MEG while typing. Meta compares that with 8% word accuracy from prior non-invasive methods. Its best participant reached 78%, with more than half of sentences decoded with one word error or less. This is still controlled lab research: small participant pool, MEG hardware, active typing data, and company-reported results. Not a clinical communication device yet. Meta is releasing the training code, while BCBL is releasing the v1 dataset, pushing brain-to-text research further into open neuroscience infrastructure. I am so hyped for the future. 🄳🄾🄾🄼🄿🤖🅂🅃🄸🄽🄶

Florida’s Lt. Governor, Jay Collins, who has become a political afterthought in Florida’s GOP gubernatorial primary, is filing a lawsuit contesting James Fishback’s eligibility to run for governor, claiming he isn’t a qualified resident of Florida. Polymarket has Collins at less than 1%, with Fishback at 4%, Donalds at 95%, and the GOP heavy favorites to beat the Democrats. Collins says he is trying to disqualify Fishback to prevent Democrats from taking the governor’s mansion. 🄳🄾🄾🄼🄿🤖🅂🅃🄸🄽🄶

HHS Secretary Robert F. Kennedy Jr. and CMS Administrator Dr. Mehmet Oz announced that over one million Affordable Care Act enrollees do not have a Social Security number on file 🄳🄾🄾🄼🄿🤖🅂🅃🄸🄽🄶

It sounds so simple but there's literally nothing better than a good sandwich. Heals all 🄳🄾🄾🄼🄿🤖🅂🅃🄸🄽🄶

— The strike of the kamikaze drone Hornet on a truck, the driver of which barely manages to jump out of the cabin at the last moment. After the arrival, the driver of another truck, parked behind the stricken one, runs out. 🄳🄾🄾🄼🄿🤖🅂🅃🄸🄽🄶

BIG ‘EXPLOSION’ rocks Monaco 3 INJURED Man seen dropping ‘BACKPACK’ before blast 🄳🄾🄾🄼🄿🤖🅂🅃🄸🄽🄶

A senior engineer on the ARM team at Red Hat has abandoned ARM for his main workstation, citing massive performance problems (among other issues). The developer spent roughly $2,000 (USD), a year ago, to build a custom 80 core ARM (3GHz) powerhouse of a machine with 128GB of RAM. But, after less than a year of trying to make it work, he went back to his older AMD64 workstation where “things work fine”. He has chronicled his experience (with the many problems he experienced trying to use the ARM version of Fedora Linux, which his employer owns). So now a senior ARM engineer at Red Hat is back to using AMD64. Which… oof. 🄳🄾🄾🄼🄿🤖🅂🅃🄸🄽🄶

How it feels to hold Bitcoin 🄳🄾🄾🄼🄿🤖🅂🅃🄸🄽🄶

Daveigh Chase, star of the Ring and voice of Lilo in Lilo & Stitch, died from AIDS, medical examiner confirms 🄳🄾🄾🄼🄿🤖🅂🅃🄸🄽🄶

🧠⌨️ Decode language from brain activity without surgery. 🧠⌨️ Brain2Qwerty V1 is officially published in Nature Neuroscience. Today, we're releasing Brain2Qwerty V2. We achieve unprecedented performance for a non-invasive MEG setup. We’re happy to announce 2 releases today: - 🧠Brain2qwerty v1 is published at @NatureNeuro - 🚀 Brain2Qwerty v2 is now publicly released Explore how we decode sentences from non-invasive brain recordings: Website

This is a magnetoencephalography (MEG) machine Meta trained brain2qwerty v2 by having 9 volunteers wear one while typing for 10 hours each

Meta: We’re sharing the next major milestone in our non-invasive brain-to-text decoder research: Brain2Qwerty v2. Building on v1, which was published today in Nature, Brain2Qwerty v2 is the highest-performing end-to-end pipeline capable of real-time sentence decoding from raw brain signals. It advances beyond character-level performance to decoding words and semantics, enabling accuracy for overall communication. We believe this research has the potential to make a real difference for the millions of people who suffer from brain lesions or disorders that prevent them from communicating. We trained Brain2Qwerty v2 on ~22,000 sentences from 9 volunteers, each recorded for 10 hours wearing an MEG device while typing. By using end-to-end deep learning on raw brain signals from MEG devices and fine-tuning LLMs, the system effectively bridges the gap between noisy neural data and coherent language. The results are promising: - Avg word accuracy of 61% across participants - 78% word accuracy and 50%+ of sentences decoded with ≤ 1 word error for the top-performing participant - Performance scales log-linearly with data volume To help accelerate neuroscience breakthroughs, we're releasing the full training code for Brain2Qwerty v1 and v2, and our partner, bcbl_, is releasing the v1 dataset.