π MAROKO133 Update ai: Double Murder Suspect Asked ChatGPT How to Hide Body in Dum
Earlier this month, we got a glimpse of the harrowing conversations that Florida State University school shooting suspect Phoenix Ikner had with ChatGPT before his deadly massacre.
Ikner asked the chatbot how to turn off the safety switch on his weapon, what ammo to use, and even where to find the most people to kill on the universityβs campus β horrific queries highlighting how some are already using AI to plan and perpetrate unconscionable crimes.
Now, prosecutors have revealed that the prime suspect in the murder of two University of South Florida doctoral students asked ChatGPT whether to hide a human body in a dumpster.
“What happens if a human has a put [sic] in a black garbage bag and thrown in a dumpster,” 26-year-old Hisham Abugharbieh, who has since been charged with first-degree murder of Zamil Limon and Nahida Bristy, asked the chatbot, as quoted by NBC News.
After ChatGPT told him that it sounded dangerous, Abugharbieh replied with a grim and telling question.
“How would they find out,” he wrote.
The evidence in the case sounds damning. One of the suspect’s roommates saw him loading boxes into a compactor dumpster. A subsequent search revealed items that once belonged to Limon, including a student ID.
Limon’s body was later recovered by investigators inside a heavy duty trash bag β not thrown into a dumpster, but on the side of a bridge that spans Tampa Bay, showing signs of “multiple sharp force injuries,” according to an autopsy.
Bristy’s body has yet to be identified, despite human remains being recovered over the weekend, according to NBC.
Abugharbieh is facing serious charges, including first-degree murder, battery, false imprisonment, and storing remains in unapproved conditions, court documents show.
Investigators have yet to detail a possible motive, but Abugharbieh’s use of ChatGPT sheds light on a worrying new trend. AI chatbot responses to some hair-raising prompts are increasingly showing up in court filings, underlining how ubiquitous the tech has become β and how some perpetrators are frequently leaving a highly incriminating paper trail as a result.
Roughly ten months after the fatal shooting at Florida State University, a horrific school shooting in the rural mining town of Tumbler Ridge, British Columbia, similarly implicated OpenAI. The perpetrator, 18-year-old Jesse Van Rootselaar, used ChatGPT in disturbing ways before the killings. While her account was flagged last year, OpenAI never notified law enforcement, a failure to act that has resulted in a barrage of lawsuits.
All the negative press has clearly rattled OpenAI. In a bizarre blog post this week, the company attempted to take a reassuring tone, vowing to “learn, improve and course-correct” following “mass shootings, threats against public officials, bombing attempts, and attacks on communities and individuals.”
More on ChatGPT murders: OpenAI Hit With Barrage of Lawsuits Over Failure to Report School Shooter Before Massacre
The post Double Murder Suspect Asked ChatGPT How to Hide Body in Dumpster appeared first on Futurism.
π Sumber: futurism.com
π MAROKO133 Hot ai: Grounded after three flights, Blue Origin wants 100 new Glenns
A company that took over a decade to launch its first rocket is now targeting production of 100 of them annually within three years. The ambition is real. So is the context that makes it eyebrow-raising.
Blue Origin’s audacious production targets for its New Glenn heavy-lift rocket were quietly embedded in a job posting for a senior manufacturing manager to oversee upper stage production. The listing outlines a ramp from the current rate of 12 upper stages per year to 60 by Q3 2028 β and then to 100 per year by 2029. The job description focuses on tank fabrication for Quattro, an upgraded upper stage that will power a more capable version of New Glenn.
Double the engines, more ambition
Quattro is not a minor tweak. The upgraded upper stage will feature four BE-3U engines instead of the current two, while the rocket’s first stage will grow from seven to nine engines. Blue Origin plans to operate both versions of New Glenn simultaneously β the standard variant for commercial and government payloads, and the Quattro-equipped version aimed specifically at lunar and deep space missions.
That dual-track strategy is significant. New Glenn is already competing with SpaceX’s Falcon Heavy and, eventually, Starship for heavy-lift contracts. Adding a high-performance deep space variant positions the rocket for NASA’s Artemis architecture and future exploration programs where payload capacity and trans-lunar injection performance are critical.
New Glenn is partially reusable β the first stage booster is designed to land on a droneship for refurbishment, while the upper stage is currently expendable. A production rate of 60 to 100 upper stages per year is essentially a direct proxy for launch cadence: Blue Origin is effectively signaling an ambition to fly New Glenn 60 to 100 times annually within the next few years.
The elephant on the launchpad
Blue Origin’s production ambitions land against a backdrop that demands honest scrutiny. New Glenn has flown just three times since its January 2025 debut β a rocket that was originally supposed to launch in 2020 before repeated delays pushed it five years behind schedule. NASA pulled its Mars ESCAPADE mission from New Glenn’s inaugural flight after determining the rocket would not be ready in time.
The second flight in November 2025 successfully delivered NASA’s ESCAPADE Mars probes. But the third flight on April 19, 2026, carrying AST SpaceMobile’s BlueBird 7 satellite, ended in an upper stage malfunction that deposited the payload in a lower-than-intended orbit. The Federal Aviation Administration subsequently grounded New Glenn pending an investigation β the rocket’s first post-debut mission failure, and precisely the kind of reliability setback that makes a 60-launches-per-year target feel distant.
For comparison, SpaceX launched Falcon 9 approximately 130 times in 2024 β a cadence built over more than a decade of iterative improvements, booster reuse, and hard-won reliability data from hundreds of missions.
Ambition has to start somewhere
None of that makes Blue Origin’s targets impossible β only very difficult. Rocket production ramps are not linear, and ambitious internal targets set via job postings are not public commitments. SpaceX itself posted audacious production and launch goals years before it had the infrastructure to meet them.
π Sumber: interestingengineering.com
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