sayzard0xMarioNawfal (@RoundtableSpace)
Claude Design을 사용해 단 12개의 프롬프트만으로 만든 결과물이라고 소개한 트윗이다. 적은 프롬프트로 빠르게 디자인을 생성하는 AI 활용 사례를 보여주며, 생성형 AI의 실무 디자인 적용 가능성을 강조한다.
Alessio Pomaro🧠 In una recente e interessante intervista, Dario Amodei ha raccontato la sua visione sulle dinamiche cruciali dell'#AI per i prossimi anni.
👉 Una sintesi: https://www.linkedin.com/posts/alessiopomaro_ai-ai-genai-activity-7451146763991707648-gPJK
___
✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: https://bit.ly/newsletter-alessiopomaro
EyeingAI (@EyeingAI)
Buzzy가 이미지 편집의 포토샵처럼, 비디오도 자연어로 원하는 변경 사항을 지시하면 해당 부분만 수정해 나머지 장면은 유지하는 영상 편집 도구로 소개됐다. 영상 생성·편집의 새로운 활용 사례로 주목된다.
RAPPLER | Philippine & World News | Investigative Journalism | Data | Civic Engagement | Public Interest2h agoAI threatens the Internet Archive’s Wayback Machine
Gemma ⭐️🔰🇺🇸 🇵🇭 🎐If you don't already know the answer to a question, the random answer that's going to come out of a slop machine is useless to you, because you have no way of evaluating it for truth or accuracy.
If you already know the answer or possess sufficient expertise in the subject to evaluate the output for truth or accuracy, then you have no need to ask the slop machine, in the first place.
#AI #LLM #generativeAI #SlopMachine #AGI #StupidityDeathSpiral #TheDeathofIntelligence #ExtinctionTechnology
Moritz Kremb (@moritzkremb)
Claude Design에 트랜스크립트를 붙여넣자 자동으로 깔끔한 디자인 결과물을 생성했다는 반응으로, 프레젠테이션/콘텐츠 제작용 AI 도구의 생성 품질이 크게 향상됐음을 시사한다. 기존 발표자료 제작 툴들을 대체할 수 있을 정도로 인상적이라는 평가다.
ABDULRAHAMAN (@dhyafei)
Claude Design을 사용해 첫 시도만에 전체 아이덴티티 가이드를 만들었다는 경험담이다. 디자인 작업을 빠르게 생성해 주는 AI 도구의 가능성을 보여주며, 디자인 제작 방식의 변화를 암시한다.
Miguel Afonso Caetano"Neither expert denies that Mythos is a significant advance, but suggest the decisive regulatory action is partly driven by institutional self-preservation. “CISOs [chief information security officers] and cybersecurity vendors have a rational incentive to point out the potentially very severe consequences of a new development,” Swire explains, even if their internal estimates assume the actual impact will be a fraction of what Anthropic’s press release claims. As Martin notes, it is rare for any organization “to suffer commercial detriment by predicting calamity.”
“One risk after Mythos is that it will be easier to turn a vulnerability, a known flaw, into an exploit, something that somebody actually takes advantage of,” Swire says. “Every cybersecurity defender should take Mythos seriously, but the expected harm to defense is likely to be far lower than the worst-case scenarios would suggest.”"
#AI #GenerativeAI #LLMs #CyberSecurity #Anthropic #Claude #ClaudeMythos
"Leading models are now “nearly indistinguishable” from each other when it comes to performance, the Stanford HAI report notes. Open-weight models are more competitive than ever, but they are converging.
As capability is no longer a “clear differentiator,” competitive pressure is shifting toward cost, reliability, and real-world usefulness.
Frontier labs are disclosing less information about their models, evaluation methods are quickly losing relevance, and independent testing can’t always corroborate developer-reported metrics.
As Stanford HAI points out: “The most capable systems are now the least transparent.”
Training code, parameter counts, dataset sizes, and durations are often being withheld — by firms including OpenAI, Anthropic and Google. And transparency is declining more broadly: In 2025, 80 out of 95 models were released without corresponding training code, while only four made their code fully open source.
Further, after rising between 2023 and 2024, scores on the Foundation Model Transparency Index — which ranks major foundation developers on 100 transparency indicators — have since dropped. The average score is now 40, representing a 17 point decrease.
“Major gaps persist in disclosure around training data, compute resources, and post-deployment impact,” according to the report."
#AI #GenerativeAI #LLMs #OpenWeights #OpenSource #Transparency #Hallucinations
"Perhaps in response to the growing unease, A.I. companies have lately been undertaking various other efforts to appear more high-minded. Following the lead of Anthropic, Google DeepMind recently hired an in-house philosopher, and Anthropic convened a meeting of Christian leaders to discuss its chatbot’s moral orientation. A more effective strategy might be for A.I. executives to stop appointing themselves as the only arbiters of safety, to stop asking for blind faith, and to start fostering a system of external accountability, with input and involvement from the public. Tech companies proposing ways to reshape the government is a soft form of techno-fascism that alienates citizens; if A.I. requires a new social contract or a new political hierarchy, then its shape should not be up to the corporations to determine. There is another troubling paradox behind A.I. founders’ messaging: If the technology is as formidable as they claim, then they could be leading us toward existential disaster; if the technology proves less transformative, and thus less valuable than the hype suggests, then they are merely setting us up for global economic disaster. For those of us who aren’t self-appointed heroes of the artificial-intelligence movement, neither scenario is particularly appealing."
https://www.newyorker.com/culture/infinite-scroll/ai-has-a-message-problem-of-its-own-making
#AI #GenerativeAI #OpenAI #Technofascism #Anthropic #AIRegulation
