It's not quite *self*-improving, as it still requires the user to describe the task, but of course, yeah, in theory, the system could also auto-generate tasks.
AUTOMATION
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AutoRL: Automated Reinforcement Learning for Model Generation
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How AutoRL works, in a nutshell: – The user describes the model they want
Ex: "A model that detects spelling and grammar errors" – OSS models generate a system prompt that will be used a) to generate, and b) for RULER to rank outputs – We generate input data, and RL a model! -
End Research Drudgery with SciSpace Agent Automation
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𝗘𝗻𝗱 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗱𝗿𝘂𝗱𝗴𝗲𝗿𝘆! 𝗥𝗲𝗰𝗮𝗽𝘁𝘂𝗿𝗲 𝟭𝟬𝟬'𝘀 𝗼𝗳 𝗵𝗼𝘂𝗿𝘀 𝗼𝗳 𝗽𝗿𝗲𝗰𝗶𝗼𝘂𝘀 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝘁𝗶𝗺𝗲. Find out more about SciSpace Agent and get started today to fast-track your research workflows and breakthroughs here: -
SciSpace Agent: AI Super Agent Co-Scientist for Lab Research
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— Kirk Borne (@KirkDBorne) 30 juillet 2025
@SciSpace_ Agent is an AI super agent co-scientist that works just like a member of your lab, using the same tools you use. pic.twitter.com/Va4AsMVlY47/ @scispace Agent is an AI super agent co-scientist that works just like a member of your lab, using the same tools you use.
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SciSpace Agent Automates Research Tasks with AI
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SciSpace Agent brings the best of AI to your research. The Agent understands your goals and automates every task, including searching, reading, analyzing, and writing, so you can focus less on the time-consuming logistical tasks and focus more on your research breakthroughs. -
SciSpace Agent: AI Built Exclusively for Scientific Research
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— Kirk Borne (@KirkDBorne) 30 juillet 2025
@SciSpace_ Agent is the first #AI built exclusively for the scientific community, unlike general-purpose AI implementations.
Its primary characteristics include:
● A research-first AI assistant, specifically tailored to understand, automate, and accelerate tasks… pic.twitter.com/aeqP2DZY505/ @scispace Agent is the first #AI built exclusively for the scientific community, unlike general-purpose AI implementations. Its primary characteristics include: ● A research-first AI assistant, specifically tailored to understand, automate, and accelerate tasks
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AI Co-scientist Accelerates Research Paper Publication Process
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So many times, I wished for a faster path through all those tasks. I could not wait to get all that done, so that I could finally send my research paper on its way to a publisher. Well, now, the long wait is over – with the aid of @SciSpace
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Researchers: Automating Tedious Data Extraction and Management Tasks
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— Kirk Borne (@KirkDBorne) 30 juillet 2025
Are you a researcher?
If so, I am sure you love research and the joy of discovery, but you probably don't love (too much) all of the tasks that go along with research: extracting structured data from unstructured documents (e.g., PDFs, webpages), data management, integrating… pic.twitter.com/5Q2rmu8Qdc2/
Are you a researcher? If so, I am sure you love research and the joy of discovery, but you probably don't love (too much) all of the tasks that go along with research: extracting structured data from unstructured documents (e.g., PDFs, webpages), data management, integrating -
SciSpace Agent: AI Co-scientist Saves 1300 Hours Yearly
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Trade research drudgery for research breakthroughs — @SciSpace_ Agent gives back an average of 1300 hours a year to researchers.
— Kirk Borne (@KirkDBorne) 30 juillet 2025
SciSpace Agent is the first #AI built exclusively for the scientific research community.
Learn more about your new AI co-scientist in this thread. pic.twitter.com/jEwHWx4qFYTrade research drudgery for research breakthroughs — @scispace Agent gives back an average of 1300 hours a year to researchers. SciSpace Agent is the first #AI built exclusively for the scientific research community. Learn more about your new AI co-scientist in this thread.
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Cipher vs ByteRover: Cloud Context Storage and Team Collaboration
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By default Cipher stores context locally, but you can connect it to vector or graph databases for persistence. ByteRover takes it further by storing context in the cloud, sharing it with your team, and making it usable across agents. Check it out here: