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- ⚙️ Your AI Prompts Are Outdated?
⚙️ Your AI Prompts Are Outdated?
AI artwork sells for $1M?
Plus: AI artwork sells for $1M?
Read time: 5 minutes
Have you ever asked ChatGPT the same question in different ways, tried applying various frameworks and meta prompts, hoping to get a better response? A new study shows when this works and when it doesn’t help at all.
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AI INSIGHTS
🧠 Do You Need to Master Prompt Engineering?
A recent study tested models of all sizes (from 7 billion to 72 billion parameters) with a method called ProSA. They found that for basic questions, as long as the model has solid knowledge on the topic, it answers pretty consistently no matter how you prompt it. Here’s what the report found:
When AI models gave consistent answers, no matter how you asked:
Business advice and solutions
Expert tips on technical topics
Solving IT issues
When writing a good prompt really mattered:
Coding and making data visuals
Writing programs and scripts
Solving complex algorithm problems
Overall:
For simple questions, if the model knows the topic well, it gives consistent answers, even if the prompt changes.
For harder tasks (like coding), showing one example answer makes the model’s responses more reliable.
Bottom line: Prompt engineering still helps sometimes, but for basic questions, you can be less precise.
Key takeaways:
You don’t need to worry about crafting the perfect prompt for simple questions when using big models like GPT. Just ask directly in plain language.
Spend your time focusing on clear prompts only when it counts, like for creative projects or detailed technical tasks. For developing AI tools or handling complex technical challenges, choosing the right words is still very important.
If the model is confident, it tends to give consistent answers no matter how you ask. But if it’s less sure, that’s a sign to try asking in a different way.
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TODAY IN AI
AI HIGHLIGHTS
🎵 Beatles' 'Now and Then' makes history as the first AI-assisted song nominated for Record of Year at 2025 Grammy Awards.
🆓 xAI is launching a Free Tier for Grok, available now in certain areas like New Zealand.
→ With the Free Tier, users get 20 Grok 2 mini questions every 2 hours, along with 10 regular Grok 2 questions in the same period. Additionally, users can access 3 image analyses each day. To sign up, users will need to provide a phone number.
🏛️ Vatican partners with Microsoft to launch AI-powered virtual tours of St. Peter's Basilica ahead of 2025 Jubilee celebrations.
🤖 OpenAI's upcoming Orion model shows smaller improvements over GPT-4 while industry faces potential AI performance plateau.
🦾 OpenAI CEO Sam Altman recently predicted that artificial general intelligence (AGI) could be reached by 2025. This comes despite reports that progress in building and expanding large language models (LLMs) is slowing down across the industry.
🚪OpenAI's VP of Research and Safety, Lillian Weng, announced she's leaving the company after 7 years. This is another big departure from OpenAI's leadership team.
DAILY AI FUNDRAISING
Cogna raised $15M to create custom enterprise software using AI. Led by FiveAI’s Ben Peters, it already serves major clients like Cadent Gas.
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🤖 CopilotKit helps build AI Copilots and AI Agents into any React app
📝 PaperGen write long-form papers with citations, charts, and more
AI QUICK HITS
📰 Washington Post debuts “Ask The Post AI” search (Link)
🛑 US stops TSMC from shipping AI chips to China (Link)
📱 Google Pixel’s Call Screen set for AI upgrade (Link)
🎶 Suno showcased demos of the v4 model with more natural and consistent audio (Link)
🖼️ AI artwork of Alan Turing sells for $1m (Link)
AI CHART
Take a look at the impact AI is expected to have on profit margins across various industries over the next 5 years.
Biggest Gains: Software (+5.2%), Semiconductors (+4.8%), Energy (+3.1%), Utilities (+2.9%)—sectors expected to benefit most from AI-driven efficiency.
Moderate Gains: Media & Entertainment (+2.6%), Transportation (+2.4%), Commercial Services and Consumer Durables (+2.0%)—improvements from automation and customer insights.
Smaller Gains: Biopharma (+0.8%), Financial Services (+0.9%)—slower adoption or smaller AI impact.
Negative Impact: Healthcare Equipment (-1.0%), Telecommunications (-0.5%)—likely facing challenges with AI integration costs or competition.
AI JOBS
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