I find it mind boggling that people are now given the tools to make anything as long as they specifically explain what they want, and the minute they're given this infinite canvas they prompt something like "make dashboard" and then are disappointed at the results.
GENERATIVE AI
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Using v0 Community Examples to Improve Your AI Prompting Strategy
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If you're struggling to figure out what to "prompt" an AI to give you a unique output, my recommendation is to actually head to v0's community page (
https://
v0.app/community), pick a category (landing pages/dashboards/forms/etc) and then scroll through examples and pick one as the -
Claude Now Has Memory: Anthropic Integrates Conversation History
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🔴 ¡CLAUDE AHORA CON MEMORIA!
— Carlos Santana (@DotCSV) 11 août 2025
Anthropic ahora podrá buscar e incorporar en tus conversaciones actuales información de conversaciones pasadas. Ya tiene memoria, así que recuerda decirle por favor y gracias 👍 https://t.co/jJ3Fg5330Y¡CLAUDE AHORA CON MEMORIA! Anthropic ahora podrá buscar e incorporar en tus conversaciones actuales información de conversaciones pasadas. Ya tiene memoria, así que recuerda decirle por favor y gracias
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Stop Speculating: Wait for AI Models to Deliver Results
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The same people who a week ago were saying that GPT-5 would be AGI and would destroy all the benchmarks are now doing the exact same thing with Gemini 3. Fuck, how annoying—wait for the models to actually come out and stop speculating. It's summer, enjoy the beach and grab
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GPT-5 Coming to Copilot Across Microsoft Apps and Platforms
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Copilot Mode in Edge is just desktop, but you should see GPT-5 in Copilot across the apps, website, Windows, Mac…
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Why Frontier VLMs Lag Behind LLMs and Vision Models
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Frontier LLM have superhuman text-based world knowledge. Frontier image / video models have superhuman vision-based world knowledge (e.g. Genie). But current frontier VLMs are still absolutely clown shoes. Why? Relative scarcity of image:text pairs (while there is plenty of text
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Cost Comparison of Newest AI Models: Token Pricing Analysis
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Cost comparison of newest AI models. 1 million tokens is the first 5 Harry Potter books + Of Mice and Men. And 5-nano is 40 cents for an output of that length, and 5 cents as input of that length – test-time compute and just-in-time modular context will only get cheaper.
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Gemini 3.0 spotted: Claims and accuracy verification
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I will leave this post as it is for now. It does not change the accuracy of the statement that Gemini 3.0 has been spotted. However, for the sake of completeness and to avoid making any false statements, it should be emphasized once again that there are claims that this news is
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Correction on 3.0 Flash discovery timeline in July
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Edit: Some say that it was already found in July. That's news to me; I only knew that 3.0 Flash had already been spotted in July. @figuret20 https://
x.com/figuret20/stat
us/1954992313144688655
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METR and GPT-5 Impress with Latest AI Advancements
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thank you! after looking more into this i've been incredibly impressed, both by METR and GPT-5 haha