About

Paper Huddle

AI research decoded: the papers, the datasets and the people behind them.

Research decodes AI research for people working on frontier problems: landmark papers, new releases in physical AI, voice, LLMs, math and science, the datasets behind them, and the global research race. Papers are linked by arXiv ID; results are labelled as the authors' claims unless replicated; quotes link to their source; country comparisons give year and source.

How every story is checked

1. Research starts from primary sources: filings, company releases, official documentation, papers and government data.
2. Every person, company, product, place and number needs a primary source or two independent ones before it can appear.
3. A separate fact-check pass, which did not write the draft, re-checks each name and number against its source. A story that fails is held, not published.
4. Prices, salaries, scores and rankings carry an "as of" date. Company and lab claims are labelled as theirs.
5. We never claim hands-on testing we did not do.

Research, drafting and fact-checking are assisted by AI tools working under these rules. Sources are listed at the end of every story.

Corrections

When we get something wrong we fix it and add a dated correction note to the top of the story, saying what changed.

Disclosure

Disclosure: this site is affiliated with Humanbit, a data labelling and AI evaluation company.

Who writes here

• Shivam Singh · LinkedIn