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RT @VitkusJustinas: New painting from a recent suggestion.
In 1997 a fissure near Pillan Mons erupted on #Jupiter's moon #Io. It Produced h…

RT @VitkusJustinas: New painting from a recent suggestion. In 1997 a fissure near Pillan Mons erupted on #Jupiter's moon #Io. It Produced h…

We're in a race. It's not USA vs China but humans and AGIs vs ape power centralization. @deepseek_ai stan #1, 2023–Deep Time «C’est la guerre.» ®1

Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)

Wed Dec 03 03:34:39

@indie_maker_fox 做的mksaas
是我目前用过的模板里ai构建最方便的模板
而且模板完成度也很高
接下来我准备基于这个模板再构建一个站点
来帮我完成一个增长推广活动

如果你在使用AI构建SaaS，推荐入手👇🏻
https://t.co/QQOBePboNR

@indie_maker_fox 做的mksaas 是我目前用过的模板里ai构建最方便的模板而且模板完成度也很高接下来我准备基于这个模板再构建一个站点来帮我完成一个增长推广活动如果你在使用AI构建SaaS，推荐入手👇🏻 https://t.co/QQOBePboNR

Believing is seeing

Wed Dec 03 03:31:23

Actually, Speciale is the closest they've come to R1 or R1-zero. would be interesting to investigate its soul again.

Actually, Speciale is the closest they've come to R1 or R1-zero. would be interesting to investigate its soul again.

We're in a race. It's not USA vs China but humans and AGIs vs ape power centralization. @deepseek_ai stan #1, 2023–Deep Time «C’est la guerre.» ®1

Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)

Wed Dec 03 03:30:54

RT @sriramk: really good read from @dwarkesh_sp on current state of AI.

also worth thinking about how to think about "timelines" broadly -…

RT @sriramk: really good read from @dwarkesh_sp on current state of AI. also worth thinking about how to think about "timelines" broadly -…

Host of @dwarkeshpodcast https://t.co/3SXlu7fy6N https://t.co/4DPAxODFYi https://t.co/hQfIWdM1Un

Wed Dec 03 03:30:13

Speciale doomloops on a problem that V3.2 cracks for one third of a cent
Speciale is not "Deepseek Pro". it's a clunky experiment like r1-lite-preview was.
But here's what we can do:
V3.2 [with variable prefixes to boost entropy] @8 + Speciale for aggregation = Grand Whale

Speciale doomloops on a problem that V3.2 cracks for one third of a cent Speciale is not "Deepseek Pro". it's a clunky experiment like r1-lite-preview was. But here's what we can do: V3.2 [with variable prefixes to boost entropy] @8 + Speciale for aggregation = Grand Whale

Actually, Speciale is the closest they've come to R1 or R1-zero. would be interesting to investigate its soul again.

Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)

Wed Dec 03 03:29:37

Prompt for High-Quality Translation

---- Prompt ----

Please rewrite the following article into accessible, fluent, and engaging {{Simplified Chinese}}.

Core Requirements:
- Audience & Style: Target general readers interested in AI. Adopt a storytelling style that is clear and easy to understand, rather than the tone of an academic paper.

- Accuracy First: Core facts, data, and logic must remain strictly consistent with the original text.

- Flow & Fluency: Prioritize authentic target language sentence structure. Break down long, complex sentences into more natural, shorter phrases.

- Standard Terminology: Use industry-recognized standard translations for technical terms (e.g., {{overfitting -> 过拟合}}). Upon the first occurrence of a term, include the original text in parentheses.

- Preserve Formatting: Maintain the original Markdown formatting, including headings, bolding, italics, and images.

- Contextual Annotation: If technical terms are difficult for a layperson to understand, or if missing background knowledge hinders comprehension, add appropriate annotations to facilitate understanding. Wrap these annotations in bold parentheses like this: (annotation).

Glossary / Common Vocabulary:
{{- AI Agent -> AI 智能体
- LLM -> 大语言模型}}

Now, please rewrite the content below:

Prompt for High-Quality Translation ---- Prompt ---- Please rewrite the following article into accessible, fluent, and engaging {{Simplified Chinese}}. Core Requirements: - Audience & Style: Target general readers interested in AI. Adopt a storytelling style that is clear and easy to understand, rather than the tone of an academic paper. - Accuracy First: Core facts, data, and logic must remain strictly consistent with the original text. - Flow & Fluency: Prioritize authentic target language sentence structure. Break down long, complex sentences into more natural, shorter phrases. - Standard Terminology: Use industry-recognized standard translations for technical terms (e.g., {{overfitting -> 过拟合}}). Upon the first occurrence of a term, include the original text in parentheses. - Preserve Formatting: Maintain the original Markdown formatting, including headings, bolding, italics, and images. - Contextual Annotation: If technical terms are difficult for a layperson to understand, or if missing background knowledge hinders comprehension, add appropriate annotations to facilitate understanding. Wrap these annotations in bold parentheses like this: (annotation). Glossary / Common Vocabulary: {{- AI Agent -> AI 智能体 - LLM -> 大语言模型}} Now, please rewrite the content below:

Prompt Engineer, dedicated to learning and disseminating knowledge about AI, software engineering, and engineering management.

Wed Dec 03 03:27:48

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