sayzardSimon Willison (@simonw)
새 Mac에서 SwiftUI 메뉴바 앱을 바이브 코딩해봤는데, Claude Opus 4.6과 GPT-5.4가 모두 Swift 프로그래밍을 꽤 잘 처리해 Xcode를 직접 열 필요도 없었다는 경험담이다.
A.Home❤️愛情，啊！多麼痛的領悟——
🌵仙人掌無心，人卻有情。
他緊緊擁抱著刺痛，只因不願放下那份執念。
愛上不該愛的東西，刺痛便成了永恆的保證。
Love—ah! What a painful realization—
The cactus has no heart, yet man is full of feeling.
He clings to the thorns, unwilling to release his obsession.
To love what should not be loved, the pain becomes an eternal vow.
Paul Couvert (@itsPaulAi)
Accio 작업 페이지의 대기자 명단에 참여할 수 있으며, 2주 동안 Claude Opus 4.6과 GPT 5.4를 무제한으로 사용할 수 있다고 안내한다. 새로운 AI 제품/플랫폼의 체험 기회를 제공하는 공지로 보인다.
JackGPT-5.4 is here and it’s a beast—but at $180/1M output tokens, your wallet might feel the sting. 💸 It cracked the Defcon puzzles in 17 mins, yet still loses to Gemini 3.1 Pro in specialized benchmarks. Is "Thinking" mode worth the premium? 🤖 #OpenAI #GPT5 #AInews
Rohan Paul (@rohanpaul_ai)
포춘 보도에 따르면 모건 스탠리는 미국 주요 연구소들의 컴퓨팅 파워 급증이 AI의 대규모 돌파구를 이끌 수 있다고 전망했다. 훈련 하드웨어를 10배 늘리면 모델 지능이 사실상 두 배가 될 수 있다고 언급했으며, 최근 출시된 GPT-5.4도 함께 거론됐다.
Rohan Paul (@rohanpaul_ai) on X
Fortune: Morgan Stanley predicts a massive AI breakthrough driven by a huge spike in computing power across major U.S. laboratories. Increasing the amount of hardware used for training by 10x can effectively double the intelligence of these models. The recently released GPT-5.4
吃得苦中苦，坐得刺中刺，才能笑得甜中甜。Endure the hardest pain, sit through the sharpest thorns, only then comes the sweetest smile.
硬漢的浪漫，不是玫瑰花，而是仙人掌沙發。
A true man’s romance isn’t roses, it’s a cactus couch.
扎得越狠，笑得越甜！
The deeper the sting, the sweeter the grin!
#仙人掌沙發 #鐵漢柔情
#gpt5 #創作源自生活 #aiart
🤣#咖啡再苦也沒人生苦，笑笑日子活得更甘甜
#比悲傷更悲傷的故事
AI Leaks and News (@AILeaksAndNews)
ARC-AGI-3 벤치마크가 공개되었습니다. 이 벤치마크는 에이전트형 지능을 평가하며, 현재 Gemini 3.1 Pro, GPT-5.4, Claude Opus 4.6, Grok 4.2의 점수가 함께 제시되었습니다. 차세대 AI 모델의 추론·에이전트 성능을 가늠할 중요한 기준으로 보입니다.
AI Leaks and News (@AILeaksAndNews) on X
ARC-AGI-3 has been released The benchmark scores models on agentic intelligence Currently the labs score: Google’s Gemini 3.1 Pro: 0.37% OpenAI’s GPT-5.4: 0.26% Anthropic’s Claude Opus 4.6: 0.25% xAI’s Grok 4.2: 0% How many months until an AI model saturates this benchmark?
Gizchina UkraineRubiCap може змінити навчання ШІ: новий підхід до детального опису зображень
# #AImodels #Apple #AppleAI #Computervision #Denseimagecaptioning #Gemini25Pro #GPT5 #Qwen25 #Reinforcementlearning #RubiCap
https://gizchina.net/2026/03/26/rubicap-ai-dense-image-captioning/
# #AImodels #Apple #AppleAI #Computervision #Denseimagecaptioning #Gemini25Pro #GPT5 #Qwen25 #Reinforcementlearning #RubiCap
https://gizchina.net/2026/03/26/rubicap-ai-dense-image-captioning/
Ґізчина — Gizchina UkraineRubiCap може змінити навчання ШІ: новий підхід до детального опису зображень
# #AImodels #Apple #AppleAI #Computervision #Denseimagecaptioning #Gemini25Pro #GPT5 #Qwen25 #Reinforcementlearning #RubiCap
https://gizchina.net/2026/03/26/rubicap-ai-dense-image-captioning/
# #AImodels #Apple #AppleAI #Computervision #Denseimagecaptioning #Gemini25Pro #GPT5 #Qwen25 #Reinforcementlearning #RubiCap
https://gizchina.net/2026/03/26/rubicap-ai-dense-image-captioning/
Andreas BeckerOpenAI führt mit Model Spec Evals einen neuen Benchmark zur Messung der Regeltreue ein. Dabei schneidet das ältere GPT-5 Thinking mit 89 Prozent messbar besser ab als das aktuelle GPT-5.4 Thinking. Modelle mit Reasoning-Fähigkeiten erweisen sich bei der Einhaltung von 225 Verhaltensregeln als robuster gegenüber kompakten Architekturen.
#OpenAI #GPT5 #LLM #Benchmarks #News
https://www.all-ai.de/news/news26/gpt4o-test-gpt5-4
