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This SQL query looks like it should fail immediately. Instead, it runs and quietly returns the wrong result. Why doesn’t the database complain?

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Google for Developers

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11,376 görüntüleme • 5 ay önce •via X (Twitter)

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This SQL query looks completely reasonable. It filters out banned and inactive users. Yet the result might catch you off guard. What does it actually return?
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This SQL query looks completely reasonable. It filters out banned and inactive users. Yet the result might catch you off guard. What does it actually return?

Google for Developers

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This is a tool that used GPT that lets you connect to PostgresDB or MongoDB, lets users type in questions, and it generates the query code (even advanced table joins), runs the code and returns the answer instantly. Like a query co-pilot. Here are my thoughts 👇🏻
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This is a tool that used GPT that lets you connect to PostgresDB or MongoDB, lets users type in questions, and it generates the query code (even advanced table joins), runs the code and returns the answer instantly. Like a query co-pilot. Here are my thoughts 👇🏻

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🤯🤯 That's insane! Hugging Face just shipped Data Studio on dataset pages... Ask a question about any dataset, the agent writes and runs a SQL query... then share the result or download as CSV... check it out! 👀 ⤵️ Wow GG Caleb 👏
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🤯🤯 That's insane! Hugging Face just shipped Data Studio on dataset pages... Ask a question about any dataset, the agent writes and runs a SQL query... then share the result or download as CSV... check it out! 👀 ⤵️ Wow GG Caleb 👏

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using tools, Cursor Agent have the capability to reason about when it should - read & write code - search your codebase - call MCP servers - run terminal commands an example where it connects to a postgres database, runs a query and writes to file
0:25

using tools, Cursor Agent have the capability to reason about when it should - read & write code - search your codebase - call MCP servers - run terminal commands an example where it connects to a postgres database, runs a query and writes to file

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It looks like she should take a shower immediately after doing this.
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It looks like she should take a shower immediately after doing this.

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If this is wrong, why doesn’t it feel wrong?
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If this is wrong, why doesn’t it feel wrong?

Doctor jii…

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This is the most overvalued the stock market has been in modern history. And retail is still buying like nothing is wrong. We have seen this exact shape before: → Dot-com → Housing → AI Every one topped quietly while everyone was still bullish, then broke. The S&P is already tracing it, and SpaceX is the last liquidity event before it goes. When it breaks, the money does not vanish. It looks for the exit. Watch where it runs.
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This is the most overvalued the stock market has been in modern history. And retail is still buying like nothing is wrong. We have seen this exact shape before: → Dot-com → Housing → AI Every one topped quietly while everyone was still bullish, then broke. The S&P is already tracing it, and SpaceX is the last liquidity event before it goes. When it breaks, the money does not vanish. It looks for the exit. Watch where it runs.

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Looks like it runs in the family 😎
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Looks like it runs in the family 😎

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If Kyle was mad about the lesbian comment, she should have said something at the moment instead of laughing it off. This is why she comes across as so fake and a victim. Why complain about it at the reunion when she could have called Garcelle out? #RHOBH
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If Kyle was mad about the lesbian comment, she should have said something at the moment instead of laughing it off. This is why she comes across as so fake and a victim. Why complain about it at the reunion when she could have called Garcelle out? #RHOBH

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You can now access AI directly from your database! Here is a step-by-step demo that uses GPT-4 to classify customer reviews from a MySQL dataset. And I'm only writing SQL instructions! You have to see it! The model acts as another table in the database. I can query it and join it with other tables. It's awesome! This is all thanks to mindshub. Here is their GitHub repository: They are sponsoring this post. Watch the video.
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You can now access AI directly from your database! Here is a step-by-step demo that uses GPT-4 to classify customer reviews from a MySQL dataset. And I'm only writing SQL instructions! You have to see it! The model acts as another table in the database. I can query it and join it with other tables. It's awesome! This is all thanks to mindshub. Here is their GitHub repository: They are sponsoring this post. Watch the video.

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A DEVELOPER FOUND SEVEN WAYS TO TAKE DOWN A PRODUCTION DATABASE THAT ALL LOOK EXACTLY LIKE NORMAL, INNOCENT CODE AND ALMOST EVERY TEAM IS SHIPPING AT LEAST ONE OF THEM RIGHT NOW 17 minutes from Josh Berkus, one of the people who actually maintains PostgreSQL, walking through the quiet mistakes that turn a healthy database into a 3am outage. -> The moment it lands, you realize none of these are exotic attacks. They're ordinary-looking decisions -- a query that locks a table, a connection that never closes, a setting no one ever questioned -- that work perfectly until the day they don't, and then they take everything down with them. The scary part isn't that the database breaks. It's how normal the code looks right up until it does. A query that runs in 5ms on your laptop and 5 minutes on prod. A migration that silently locks the whole table. A connection pool that runs dry the moment real traffic shows up. Every one of them passed review. Writing SQL that runs was never the hard part -> writing SQL that survives production is. And now that an AI agent is generating and firing queries at your real database faster than anyone can read them, every one of those seven landmines is one autocomplete away -- and the only person who can stop it is the one who already knows where they're buried. Your database doesn't go down because someone attacked it. It goes down because something that looked completely normal finally caught up with it. Save and Watch it today. You'll see the next outage coming before it lands ↓
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A DEVELOPER FOUND SEVEN WAYS TO TAKE DOWN A PRODUCTION DATABASE THAT ALL LOOK EXACTLY LIKE NORMAL, INNOCENT CODE AND ALMOST EVERY TEAM IS SHIPPING AT LEAST ONE OF THEM RIGHT NOW 17 minutes from Josh Berkus, one of the people who actually maintains PostgreSQL, walking through the quiet mistakes that turn a healthy database into a 3am outage. -> The moment it lands, you realize none of these are exotic attacks. They're ordinary-looking decisions -- a query that locks a table, a connection that never closes, a setting no one ever questioned -- that work perfectly until the day they don't, and then they take everything down with them. The scary part isn't that the database breaks. It's how normal the code looks right up until it does. A query that runs in 5ms on your laptop and 5 minutes on prod. A migration that silently locks the whole table. A connection pool that runs dry the moment real traffic shows up. Every one of them passed review. Writing SQL that runs was never the hard part -> writing SQL that survives production is. And now that an AI agent is generating and firing queries at your real database faster than anyone can read them, every one of those seven landmines is one autocomplete away -- and the only person who can stop it is the one who already knows where they're buried. Your database doesn't go down because someone attacked it. It goes down because something that looked completely normal finally caught up with it. Save and Watch it today. You'll see the next outage coming before it lands ↓

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English Is The New SQL LLMs have made it easy for everyone to create on-the-fly dashboards and plots. You can connect to your database and then use a SOTA LLM like 4o, Opus, or Gemini to generate SQL and Python code to create on-the-fly dashboards and plots. ChatLLM makes it possible across all state-of-the-art LLMs -
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PEOPLE OF THE EARTH. Figured out how to ask natural language questions of current financial data and get back a natural language response...with correct/relevant numbers! 🤯💰✨ So. Freaking. Cool. 1. Send database schema along with the question and relevant scope/parameters to GPT. 2. GPT returns SQL query. 3. Run SQL query on your data. 4. Take returned data and pass it in along with the original question. 5. GPT returns natural language answer with relevant data! Original Question: What was the highest price of Apple's stock over the past decade and how does it compare to Tesla's highest stock price? And on what date were those highest prices? Final Answer: The highest price of Apple's stock over the past decade was $182.94 on January 4, 2022, while Tesla's highest stock price was $414.50 on November 4, 2021.

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