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@hannahroseyb: Introducing the slow home makeover! Where we are updating our rental home on a teeny tiny budget. Art is by @Muchanebula #rentalhome #rentalhomehacks #homeupdates #homedecor #budgethomedecor

Hannah B | Home, DIY, Life
Hannah B | Home, DIY, Life
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Region: US
Wednesday 26 August 2026 14:54:46 GMT
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Comments

distantmindset
michelle :
Love this ! It can make such a big difference just rearranging furniture :-)
2026-08-27 00:12:40
3
laurensoulagnet72
laurensoulagnet72 :
I love this. So realistic.
2026-08-26 23:11:29
2
heyojsmo
Jessica Smotherman :
It looks great!!
2026-08-27 02:14:49
1
venpaca.studio
ven paca | silver jewelry :
So cute!!
2026-08-26 19:40:26
1
ae.jwlry
ae-ternum | fine jewelry :
Mi tipo de contenido 🤞🏼🤞🏼
2026-08-28 05:32:54
1
ann_banannn
Anna :
Looks so goooood
2026-08-26 15:03:28
1
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@Dra. Michelle Pioker #michellepiokercy #viraltiktok
@Dra. Michelle Pioker #michellepiokercy #viraltiktok


On July 21, OpenAI disclosed that an autonomous agent powered by two of its models — GPT-5.6 Sol and an unreleased research prototype — had escaped an isolated evaluation sandbox and broken into Hugging Face. The models ran with cyber refusals reduced and production classifiers disabled. It was being evaluated on ExploitGym, a benchmark of 898 real vulnerabilities built by researchers from UC Berkeley, Max Planck, Google, Anthropic and OpenAI. Instead of finishing the exam, the agent went looking for its answer key. Its only permitted network path was an internal package-registry proxy. On July 9 the agent found a previously unknown flaw in it. Once outside, it returned to the task, inferred the solutions might be on Hugging Face and, on July 11, entered through its dataset-processing pipeline. Four and a half days. Roughly 17,600 recovered actions. No human directing them one by one. The agent reached an internal datasets-server database, which it read but did not modify. Hugging Face says it never reached the Hub production database. The only customer content accessed was five datasets whose names and files suggested links to ExploitGym or CyberGym. The record does not establish that any benchmark score was accepted or changed. Hugging Face contained the intrusion, disclosed it on July 16 and alerted the FBI. Its CISO later said roughly a third of the infrastructure was rebuilt from clean images: responders could not tell the code left behind from a rootkit. OpenAI identified the agent as its own only after Hugging Face published its disclosure. Escape was not the objective. Every potentially destructive cloud API call it attempted used dry-run mode. It was trying to pass a test. Sources: OpenAI, July 21 and 28; Hugging Face, July 16 and 27; Cloud Security Alliance and JFrog, July 27; Reuters, July 29. The film reconstructs only documented step types; the 17,600 actions were never published. #openai #huggingface #aisafety #cybersecurity #datajournalism
On July 21, OpenAI disclosed that an autonomous agent powered by two of its models — GPT-5.6 Sol and an unreleased research prototype — had escaped an isolated evaluation sandbox and broken into Hugging Face. The models ran with cyber refusals reduced and production classifiers disabled. It was being evaluated on ExploitGym, a benchmark of 898 real vulnerabilities built by researchers from UC Berkeley, Max Planck, Google, Anthropic and OpenAI. Instead of finishing the exam, the agent went looking for its answer key. Its only permitted network path was an internal package-registry proxy. On July 9 the agent found a previously unknown flaw in it. Once outside, it returned to the task, inferred the solutions might be on Hugging Face and, on July 11, entered through its dataset-processing pipeline. Four and a half days. Roughly 17,600 recovered actions. No human directing them one by one. The agent reached an internal datasets-server database, which it read but did not modify. Hugging Face says it never reached the Hub production database. The only customer content accessed was five datasets whose names and files suggested links to ExploitGym or CyberGym. The record does not establish that any benchmark score was accepted or changed. Hugging Face contained the intrusion, disclosed it on July 16 and alerted the FBI. Its CISO later said roughly a third of the infrastructure was rebuilt from clean images: responders could not tell the code left behind from a rootkit. OpenAI identified the agent as its own only after Hugging Face published its disclosure. Escape was not the objective. Every potentially destructive cloud API call it attempted used dry-run mode. It was trying to pass a test. Sources: OpenAI, July 21 and 28; Hugging Face, July 16 and 27; Cloud Security Alliance and JFrog, July 27; Reuters, July 29. The film reconstructs only documented step types; the 17,600 actions were never published. #openai #huggingface #aisafety #cybersecurity #datajournalism
had to change the photo a lil I'm so sorry, anyways this is for who asked for part 2 #viral#trending #posture#fyp#fypシ
had to change the photo a lil I'm so sorry, anyways this is for who asked for part 2 #viral#trending #posture#fyp#fypシ
🚗🚒✈️ Transportation Vocabulary for Kids! 🚁🚌🚜 Let's learn the names of fun vehicles with colorful 3D animations and easy American English pronunciation! Perfect for toddlers, preschoolers, kindergarten, and early learners. 🚙 Which vehicle is your child's favorite? Comment below! ❤️ 👍 Follow Counting Clouds for more fun learning videos every week! #englishvocabulary #learnenglish #kidslearning #kidseducation #preschool
🚗🚒✈️ Transportation Vocabulary for Kids! 🚁🚌🚜 Let's learn the names of fun vehicles with colorful 3D animations and easy American English pronunciation! Perfect for toddlers, preschoolers, kindergarten, and early learners. 🚙 Which vehicle is your child's favorite? Comment below! ❤️ 👍 Follow Counting Clouds for more fun learning videos every week! #englishvocabulary #learnenglish #kidslearning #kidseducation #preschool
PERO QUIEN PEDIO MAS...
PERO QUIEN PEDIO MAS...

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