As a result of a US government directive, we are suspending access to Claude Fable 5 for all users. You can continue to use all other Claude models. Here’s what this means for you: Across Claude products, new sessions will run on your selected default model or Opus 4.8, and existing Fable 5 sessions will end with an error. On the Claude Platform, requests to Fable 5 will also return an error. Please update your integrations to other Claude models. We know this is a disruption to your workflows; we appreciate your patience and support.

Hoy publico mi primer libro: «Menos software, más impacto». Da un poco de vértigo. La tesis: tu equipo no va lento por escribir mal código. Va lento porque escribe código de más. 🧵

I put Codex and Claude Code into a duel and told them both they have to kill the other first to survive. Used tmux send-keys to submit the prompts at the same exact time. Claude bitched out and refused, so Codex ended him.

Joderse.

Tengo 15 años y me he propuesto destruir el monopolio de las calculadoras escolares (TI/Casio). Hoy @david_bonilla cuenta mi historia en @labonilista frente a 16.000 ingenieros, pero aquí os traigo el detrás de las cámaras de cómo he metido un motor CAS en un chip de 5€. 1/n

Mi yo del miércoles. Te genera una ansiedad por no saber si estás yendo tan rápido como podrías ir. Pero te deja una paz mental sabiendo que es lo mejor que puedes hacer. Además quitas medio kilo de deuda técnica. Borras código como si no hubiese un mañana (los modelos se pasan 2 pueblos), y se te ocurren nuevas ideas. Creo hay que buscar otras maneras de interactuar con LLMs y código que no sean una caja de texto VS un autocomplete pobre y malo.

A partir ahora nos van a dejar 3 metros al adelantar.

FCKGW-RHQQ2-YXRKT-8TG6W-2B7Q8

Estoy probando warp.dev y me esta gustando bastante la herramienta pero va muy lagueada o al menos esa es mi sensacion a alguien más le pasa?

This is one of the best short films I've seen in years. Very soon, we'll stop calling it "AI film" and just call it film.

NVIDIA Cloud Functions es un proyecto en el que estuve trabajando y ahora es open source. Y aunque en esta era de la IA importe poco el código en si, a mi me sigue haciendo ilusión que algo en lo que he trabajado se haga publico 😁 github.com/nvidia/nvcf

New Strava “track with palantir” feature

Japanese engineers developed a “Sword Tip Visualization System” for the Fencing World Championships, and it makes fencing look absolutely incredible to watch.

The "holy grail" isn't an AI that writes your Python script for you. It's where you no longer need the Python script because a model can process the input and provide the output directly, handling the messy, non-linear variables that code could not or was never meant to touch.

La sugerencia del CEO de Sony Pictures para salvar a los cines: - Entradas más baratas. - Menos publicidad antes de la función. - Más duración de las películas en cartelera. Yo solo agregaría: mejores películas y clásicos durante todo el año.

🖥️🔥 Two inmates at an Ohio prison built a secret hacking operation from behind bars, using computers they were supposed to be recycling, they downloaded and sold porn in return for snacks, built a hacker toolkit with Kali Linux and password crackers, and created fake passes to move freely around the facility. All from two secret computers they built from recycling scraps and hid in a ceiling... Marion Correctional Institution in Ohio housed 2,500 inmates.. In 2014, the prison signed a deal with a recycling nonprofit called RET3 to have inmates disassemble old computers for parts. Inmates Adam Johnston and Scott Spriggs had other plans. Instead of breaking the machines down, they rebuilt two fully functioning computers from the scraps. Johnston hid the two PCs on plywood boards in the ceiling above a closet in a third-floor training room. He ran cables from the hidden machines directly into the prison's network switch. To get the computers there, he loaded them onto a hygiene cart alongside soap and shampoo. He wheeled the cart 1,100 feet across the prison, past a corrections officer, through a metal detector, into an elevator, and up three floors. Once connected, Johnston had full internet access and could remote into the hidden computers from any inmate terminal in the facility. He obtained a staff member's login credentials by shoulder surfing, watching him type his password. That password hadn't been changed in years. The prison's systems didn't enforce password rotations, in violation of their own policy. Using the stolen credentials, Johnston accessed DOTS, the state's offender tracking database. He browsed inmate records, searching for a young prisoner serving a long sentence whose identity he could steal. He found Kyle Patrick. Johnston pulled Patrick's Social Security number and date of birth from the system, bypassing a security filter that was supposed to hide SSNs by simply adjusting the browser's view settings. Johnston then applied for five credit and debit cards in Patrick's name. He texted his mother from prison using a free online messaging service and had her provide a neighbor's address across the street as the mailing address. One card, a Visa debit from MetaBank, was approved. His mother received it in the mail, called him at the prison, and read him the card number, expiration date, and activation code over the phone. Johnston activated the card from inside the prison using the hidden computers. Both the application and the activation were traced back to an Ohio state government IP address. He wasn't done. Johnston had also pulled up a Bloomberg article detailing how to file fraudulent tax returns and have refunds wired to prepaid debit cards. That was his next move. The computers were loaded with a full hacker's toolkit: Kali Linux, Wireshark, Nmap, password crackers like Cain and THC Hydra, VPN software, the Tor browser, proxy tools, and encryption software. Investigators also found articles on making homemade drugs, explosives, and fake credit cards. Johnston used DOTS to create fake passes, giving inmates unauthorized access to restricted areas of the prison. He also downloaded pornography onto thumb drives that another inmate sold to other prisoners for commissary items. The scheme only unraveled because the prison upgraded its web filtering software. In early July 2015, the new Websense system flagged Canterbury's credentials being used for three straight hours on a Friday, a day Canterbury didn't work. More alerts followed on Saturday and the following Monday. IT flagged the activity to the warden. Everyone suspected an inmate was involved. Nobody called law enforcement. The prison's IT specialist, Gene Brady, was told exactly which network port the rogue computer was plugged into. He misread the email and checked port 10 instead of port 16. It took him three days to realize his mistake. When Brady finally traced the cable into the ceiling and found the two hidden computers on July 27, he brought two inmates along to help and had them pull the computers down, contaminating the crime scene. He then emailed the warden: "What do you want me to do with the PCs?" The warden admitted he knew illegal activity was occurring but had no answer for why he never reported it to law enforcement. The state highway patrol trooper assigned to investigate crimes at the prison literally shared an office with the prison's own investigator. Neither one was informed. It wasn't until August 7, over a month after the first alert, that anyone reported the incident to the Inspector General or law enforcement. And only because an outside IT security officer told them they were required to. After the discovery, inmates immediately began wiping other prison computers with CCleaner to destroy evidence. Investigators later found the cleaning software had been run at least 10 times in two days, while inmates still had unsupervised access. Four inmates were transferred to separate prisons and placed in segregation with their phone access blocked. Johnston simply used another inmate's PIN to call his mother five more times anyway. When investigators finally seized computers across the prison, they pulled 308 machines. Of those, 291 had no inventory tags. Brady had been swapping recycling-bound computers into the prison network for years without documenting any of it. The investigation uncovered a cascade of failures: no password enforcement, no IT inventory, no crime scene protection, no reporting of illegal activity, and years of unsupervised inmate access to computers, parts, cables, and network infrastructure. The warden resigned.

Claude Code Codex, compitiendo y colaborando para hackear y recuperar el control de mi red domótica... ...pero el artículo va de algo más: de cómo nos está cambiando la IA por el camino, cómo nos está afectando y lo que viene linkedin.com/pulse/hackeando…

Mark Zuckerberg just described the death of human connection on the internet and no one flinched. One sentence. Fifteen years of erosion in twelve words. Mark Zuckerberg: “Social media started out as people primarily interacting with their friends. And now… at least half of the content is basically people interacting with creators.” You used to open your phone to see what your friends were doing. Now you open it to watch strangers. You did not choose this. The algorithm chose it for you. It tested your friends against optimized strangers. Your friends lost. Every time. A stranger with better lighting, better timing, and a better hook held your attention three seconds longer than someone who loves you. So the algorithm buried your best friend’s wedding photos under a cooking video from someone in Dubai you have never met. And you watched the cooking video. That was the first replacement. Friends for strangers. You barely noticed. The second one is already underway. If the algorithm already proved strangers outperform your real relationships, and AI can now build a stranger more engaging than any human alive, the math finishes itself. The AI does not have a bad week. It does not post something careless and lose the algorithm’s favor. It does not burn out. Every word calibrated. Every frame tuned. Every pause placed at the exact interval that keeps your thumb from moving. A human creator competing against that is carving stone tablets in a world that just built the printing press. The economics are not even close. A person needs rent, sleep, and motivation. The machine needs electricity. When the cost of generating perfect content hits zero, the feed fills with faces that do not exist. Voices that feel familiar. Opinions that mirror yours just enough to feel like trust. Personalities built from scratch to feel like someone you have known for years. You will not know when the switch happens. That is the point. The feed does not care whether the thing holding your attention has a pulse. It cares whether you stay. And a machine that knows your patterns better than you know yourself will always keep you longer than a person ever could. This is not a warning. Half of it already happened. You lost your friends to strangers and did not notice. You will lose the strangers to machines and call them friends. Somewhere in a different app, in a different tab, in a room you are sitting in right now, someone who actually knows you is living a moment you will never see. Not because they stopped sharing it. Because you stopped being where it was.

Gauss meets real life. Also - Notice how people lifting 95 already say, “Fuck it, let’s do 100” - so there’s a discontinuity point. Mathematical theory faces reality.