display (@display@squeet.me)
Immer mehr Menschen shoppen online. Und fragen dabei die KI um Rat. Wie klappts mit der Beratung?#WDR #KI #KünstlicheIntelligenz #Einkaufen #ChatGPT #Perplexity #Fits #Shopping #Beratung #Einkaufshilfe #Modeberatung #Schnäppchen #NRW
Mit KI auf Mode-Shoppingtour: Wenn ChatGPT das passende Outfit fürs Fest sucht
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aidailypost (@aidailypost@mastodon.social)
OpenAI says a new model drops next week, promising to outpace Google’s Gemini 3. Sam Altman calls it a “Code Red” move to keep ChatGPT ahead in the conversational‑AI race and boost monthly active users. Curious how this could reshape the AI landscape? Read the full story. #OpenAI #Gemini3 #ChatGPT #ConversationalAI
🔗 https://aidailypost.com/news/openai-launch-new-model-next-week-aiming-outpace-gemini-3
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technoedge (@technoedge@rss-mstdn.studiofreesia.com)
ChatGPT、一部ユーザの間でサービスダウン。原因は「ルーティング設定ミス」
https://www.techno-edge.net/article/2025/12/03/4755.html
#technoedge #テクノロジー #ニュース #レビュー #ゲーム #ガジェット #ChatGPT #OpenAI
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aidailypost (@aidailypost@mastodon.social)
OpenAI has declared a 'code red' as Google's AI push starts to show results, while Sam Altman pushes back on ad plans. Dive into the latest Pulse analysis and see what this means for the future of LLMs. #OpenAI #Google #CodeRed #ChatGPT
🔗 https://aidailypost.com/news/openai-declares-code-red-googles-own-response-starts-paying-off
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thejasoncarrick (@thejasoncarrick@sfba.social)
Just gonna leave this here ...
#chatgpt #funny
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thejasoncarrick (@thejasoncarrick@sfba.social)
Just gonna leave this here ...
#chatgpt #funny
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aidailypost (@aidailypost@mastodon.social)
ChatGPT’s new Company Knowledge feature now auto‑applies a unified visual style to all dashboards and charting scripts. By linking the Data Documentation Engine, color schemes stay consistent across reports, turning visual tweaks into an automated process. Curious how this boosts clarity and saves time? Read the full breakdown. #ChatGPT #CompanyKnowledge #DataDocumentationEngine #VisualStyle
🔗 https://aidailypost.com/news/chatgpts-company-knowledge-feature-standardizes-visual-style-across
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jay (@jay@gts.feddit.social)
发一张之前视频封面废案
#gemini3 #gemini #ai #chatgpt #grok #claude #meme #黑人辛吉飞
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microglyphics (@microglyphics@mastodon.social)
I blog for 2 reasons:
https://philosophics.blog/2025/12/02/a-key-point-of-departure-he-accepts-the-folk-psychology-i-reject/?utm_source=masto&utm_medium=social
(1) to archive and share my ideas and musings, and (2) to facilitate interactions with others on these ideas.
I am exchanged ideas with a fellow philosopher. Having watched my video on Transductive Subjectivity, he shared that it seemed to relate to Stephen Batchelor's Secular Buddhism. I asked #ChatGPT.
#philosophy #blog #podcast #buddhism #self #atheism #igtheism #psychology #identity #metaphysics #chatgpt #ai #ontology #tradition
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remixtures (@remixtures@tldr.nettime.org)
"If you go back a year or two, you might make the case that Nvidia had three moats relative to TPUs: superior performance, significantly more flexibility due to GPUs being more general purpose than TPUs, and CUDA and the associated developer ecosystem surrounding it. OpenAI, meanwhile, had the best model, extensive usage of their API, and the massive number of consumers using ChatGPT.
The question, then, is what happens if the first differentiator for each company goes away? That, in a nutshell, is the question that has been raised over the last two weeks: does Nvidia preserve its advantages if TPUs are as good as GPUs, and is OpenAI viable in the long run if they don’t have the unquestioned best model?
Nvidia’s flexibility advantage is a real thing; it’s not an accident that the fungibility of GPUs across workloads was focused on as a justification for increased capital expenditures by both Microsoft and Meta. TPUs are more specialized at the hardware level, and more difficult to program for at the software level; to that end, to the extent that customers care about flexibility, then Nvidia remains the obvious choice.
CUDA, meanwhile, has long been a critical source of Nvidia lock-in, both because of the low level access it gives developers, and also because there is a developer network effect: you’re just more likely to be able to hire low level engineers if your stack is on Nvidia. The challenge for Nvidia, however, is that the “big company” effect could play out with CUDA in the opposite way to the flexibility argument. While big companies like the hyperscalers have the diversity of workloads to benefit from the flexibility of GPUs, they also have the wherewithal to build an alternative software stack. That they did not do so for a long time is a function of it simply not being worth the time and troube..."
https://stratechery.com/2025/google-nvidia-and-openai/
#AI #GenerativeAI #Nvidia #Google #ChatGPT #OpenAI #LLMs #Chatbots #CUDA #GPUs #TPUs
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arstechnica (@arstechnica@c.im)
OpenAI CEO declares “code red” as Gemini gains 200 million users in 3 months https://arstechni.ca/5fMQ #largelanguagemodels #simulatedreasoning #machinelearning #AIcompetition #AIassistants #GoogleGemini #SundarPichai #MarcBenioff #vibemarking #samaltman #chatbots #vibemark #ChatGPT #Gemini3 #SRmodel #Biz&IT #Google #gemini #google #openai #GPT-5 #AI
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