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#deepresearch

2 Beiträge2 Beteiligte0 Beiträge heute

"Ordinary users don’t want to learn about the relative strengths and weaknesses of various products like Operator and Deep Research. They just want to ask ChatGPT a question and have it figure out the best way to answer it.

It’s a promising idea, but how well does it work in practice? On Friday, I asked ChatGPT Agent to perform four real-world tasks for me: buying groceries, purchasing a light bulb, planning an itinerary, and filtering a spreadsheet.

I found that ChatGPT Agent is dramatically better than its predecessor at grocery shopping. But it still made mistakes at this task. More broadly, the agent is nowhere close to the level of reliability required for me to really trust it.

And as a result I doubt that this iteration of computer-use technology will get a lot of use. Because an agent that frequently does the wrong thing is often worse than useless."

understandingai.org/p/chatgpt-

Understanding AI · ChatGPT Agent: a big improvement but still not very usefulVon Timothy B. Lee
#AI#GenerativeAI#AIAgents

If you want a fantastic use for #DeepResearch #AI, try something like:

```
Write me the latest edition of my weekly personalized newsletter. It is for personal use. It should include:
* A brief summary (and links to) of the most notable science papers published in the last week. Whenever it's not obvious, include a summary of what makes a particular paper notable.
* BRIEF summaries of all US movie & TV releases in the past week, including critic reception for each. Skip ones that look really dire. Prioritize A, B, and C. Deprioritize X, Y, and Z.
* My favorite musicians are D, E, F, and G. Suggest music released in the past week.
* A list of events happening in and around MY CITY in the upcoming week. I'm looking specifically for H, I, and J.
* Suggestions for improvements to the newsletter. Now that you know what things I'm interested in, what other time-sensitive things might be good to research weekly?
```

"Kimi-Researcher:
End-to-End RL Training for Emerging Agentic Capabilities"

Kimi-Researcher is an agentic thinking model that can do multi-step planning, reasoning, and tool use. It uses 3 main tools: a parallel, real-time internal search tool; a text-based browser tool for web tasks; and a coding tool for code execution. Kimi-Researcher was trained entirely through end-to-end agentic reinforcement learning.

OpenAI's chatGPT deep research report generator will now let you save your reports as nicely formatted PDF files with inline images and tables nicely formatted. It still has an issue that its references at the end of the report are not in the proper bibliographic format for academic settings.

You can now connect your Box and #Dropbox accounts to #DeepResearch on #ChatGPT and pull data, which will be used by the #AI to conduct #research. Please do not do this - you will add to the unending pool of data being sucked out of creators and repurposed for profit - not your profit or benefit. #copyright #KM #research #legalresearch #education #copyright #intellectualproperty bleepingcomputer.com/news/arti