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#aitools

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"Kosmos: An AI Scientist for Autonomous Discovery"

Kosmos is an AI scientist tool from Edison Scientific. It runs for up to 12 hours & uses 200 agent rollouts, collectively executing an average of 42,000 lines of code & reading 1,500 papers per run. Users reported that a single Kosmos run performed the equivalent of 6 months of their own research time on average. Kosmos can propose novel analytical approaches.

emergentmind.com/papers/2511.0

ekoAcademia is a search engine for Arxiv papers. It automatically creates 2.5 minute audio podcast summaries of each paper that you select in the search results if nobody has browsed that article yet. The created audio summaries are saved for future users. The alphaXiv tool ( alphaxiv.org ) is an alternative Arxiv search engine that creates AI audio summaries that are twice as long.

echoecho.org/search

"Tongyi DeepResearch Technical Report"

Tongyi DeepResearch, an agentic LLM, is specifically designed for long-horizon, deep information-seeking research tasks.
Tongyi is open-source and has some advances that make it more like a 2nd generation deep research tool.

arxiv.org/html/2510.24701v1

Tongyi got me interested in 2nd generation deep research tools so I had AI2's Asta 2nd generation deep research tool generate a report on them:

asta.allen.ai/share/913a85a2-6

Want a banner ad under your bash prompt? Probably not, but Sourcegraph just made the world’s first ad-supported AI coding agent.

With Amp Free, you toggle a setting and — voilà — ads appear at the bottom of your editor, while Amp handles your code reasoning and edits. In exchange, you skip the subscription fee and opt into “Training Mode,” which shares your thread data for model improvement.

Read all about Amp Free here: ainativedev.co/znc

ainativedev.coAmp’s new business model? Ad-supported AI codingAmp is testing whether an ad-supported, data-sharing business model can work in software development.

"DeepTRACE: Auditing Deep Research AI Systems for Tracking Reliability Across Citations and Evidence"

Article compares the performance of GPT-4.5/5, You.com, Perplexity, Copilot/Bing, and Gemini. Our findings show that generative search engines and deep research agents frequently produce one-sided, highly confident responses on debate queries and include large fractions of statements unsupported by their own listed sources.

arxiv.org/abs/2509.04499

instawarp is a new search engine that allows you to search multiple search engines at one time. You need to allow instawarp to open popup windows in your browser, so that the search results for each search engine will each open in different tabs in your browser. If you set up a free login account, you can add more search engines to the 10 default ones. Some of the search engines are AI tools like ChatGPT or Perplexity.

instawarp.com

The newest release of Firefox web browser, v144.0, has new AI features. When you right click on a webpage (see image below), a new option that you are offered is "Ask an AI Chatbot." Selecting that option gives you a choice of 4 different AI chatbots to use. I did a little informal testing and Google Gemini was by far the best chatbot for questions like asking it to summarize the webpage you are looking at. I noticed this new feature on Firefox running on Windows 11.

The Is Disappearing Blog Posts About Published During Lina Khan’s Tenure

The Federal Trade Commission removed several blog posts in recent months about open source and potential risks to consumers from the rapid spread of commercial .

wired.com/story/ftc-removes-bl

WIRED · The FTC Is Disappearing Blog Posts About AI Published During Lina Khan’s TenureBy Lauren Goode

BioMedSearch, a multi-source AI biomedical information retrieval framework based on LLMs. The method integrates literature retrieval, protein database and web search access to support accurate and efficient handling of complex biomedical queries. For needle in the haystack type queries, AI2's Asta tool asta.allen.ai is a much better tool.

Search tool:
bio-med-search.com/

Paper on this tool:
ui.adsabs.harvard.edu/abs/2025

"Comparison of Elicit AI and Traditional Literature Searching in Evidence Syntheses Using Four Case Studies"
Cochrane Evid Synth Methods, 9-27-25

The sensitivity of Elicit was poor, averaging 39.5% compared to 94.5% in the original reviews. Elicit identified some included studies not identified by the original searches & had an average of 41.8% precision which was higher than the 7.55% average of the original reviews.

pmc.ncbi.nlm.nih.gov/articles/

PubMed Central (PMC)Comparison of Elicit AI and Traditional Literature Searching in Evidence Syntheses Using Four Case StudiesElicit AI aims to simplify and accelerate the systematic review process without compromising accuracy. However, research on Elicit's performance is limited. To determine whether Elicit AI is a viable tool for systematic literature searches and ...

This is a great article by Nicolas Bustamante on some of the technical limitations of RAG as a search algorithm.

"The RAG Obituary: Killed by Agents, Buried by Context Windows"

Why Retrieval-Augmented Generation Won’t Survive the Context Revolution and the End of Chunking, Embeddings, and Rerankers as We Know Them.

nicolasbustamante.com/p/the-ra

Nicolas Bustamante · The RAG Obituary: Killed by Agents, Buried by Context WindowsBy Nicolas Bustamante