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Ananya (ಅನನ್ಯ)

@punarpuli.bsky.social
94 followers 92 following 29 posts

Science & tech journalist, translator. Interested in all things algorithms, oceans, urban & the people involved. storiesbyananya.wordpress.com

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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 13/07/2026
"... and there can be unforeseen consequences.” The researchers call for rigorous evaluations before employing AI tools to review papers. Read my new report for @sciencenews.bsky.social: www.sciencenews.org/article/ai-t...
sciencenews.org
AI tools meant to vet science are surprisingly easy to fool
The gold standard of scientific review, peer review by researchers’ colleagues, is in crisis. AI might offer a solution but has problems of its own.
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 13/07/2026
“AI tools are inherently opaque & dilute responsibilities and accountabilities,” says @mhmdhsini.bsky.social. “When you introduce a nontransparent actor like AI within a system that for a long time was trying to become more transparent, it is a step backward..."
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 13/07/2026
There's a growing trend among scientists of using AI tools to automate scientific peer review. But, new work by @joachimbaumann.bsky.social and others show that AI reviewers can be easily gamed and could reduce the variety of opinions weighing in on new science.
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 13/07/2026
Re-upping my book report of @samanthsubramanian.bsky.social's book 'The Web Beneath the Waves', an engaging account of the undersea cables that bring us the internet. The book releases this month in India as a collection with his other writings. www.science.org/eprint/9RUG6...
science.org
The internet’s deepest infrastructure
Stakeholders vie for control of the underwater cables that underlie modern communications
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 07/05/2026
For @sciencenews.bsky.social, I reviewed @kevinhartnett.bsky.social's book The Proof in the Code, tracing the evolution of Lean from a software checking tool to one used by researchers for verifying mathematical truths, and now for training math-solving AI models www.sciencenews.org/article/the-...
sciencenews.org
The Proof in the Code traces efforts to digitally verify mathematical truths
Journalist Kevin Hartnett chronicles how code-checking tools and AI are being used to tackle difficult math problems.
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Reposted by Ananya (ಅನನ್ಯ)
Science News @sciencenews.bsky.social · 21/04/2026
Journalist Kevin Hartnett chronicles the rise of computer programs that can tackle difficult math problems in The Proof in the Code. www.sciencenews.org/article/the-pro…
sciencenews.org
The Proof in the Code traces efforts to digitally verify mathematical truths
Journalist Kevin Hartnett chronicles how code-checking tools and AI are being used to tackle difficult math problems.
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 08/10/2025
there are scattered copies of papers all over the internet, the training data of AI models aren't up-to-date. Until companies improve how they filter retracted papers, users of AI tools should take steps to verify the tool's outputs. www.technologyreview.com/2025/09/23/1...
technologyreview.com
AI models are using material from retracted scientific papers
Some companies are working to remedy the issue.
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 08/10/2025
Groups like @retractionwatch.com maintain a database of retracted papers, and some companies are starting to use these databases now to filter papers, to a certain extent. But, such measures are not foolproof—retraction databases are not comprehensive...
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 08/10/2025
Especially when people use AI tools to seek medical or health information, use of retracted papers can carry grave consequences. The rate of retractions has been raising over the years, with more than 10,000 retractions in 2023 alone, according to a Nature analysis. bsky.app/profile/rich...
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 08/10/2025
There’s “kind of an agreement that retracted papers have been struck off the record of science and the people who are outside of science—they should be warned that these are retracted papers," Yuanxi Fu told me. Yet, AI tools continue to use these papers to answer user questions.
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 08/10/2025
ChatGPT, Perplexity, Ai2 ScholarQA and other AI tools cite retracted scientific papers without any warning. Read my report for @technologyreview.com www.technologyreview.com/2025/09/23/1...
technologyreview.com
AI models are using material from retracted scientific papers
Some companies are working to remedy the issue.
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Reposted by Ananya (ಅನನ್ಯ)
Richard Van Noorden @richvn.bsky.social · 20/08/2025
Researchers argue over whether ‘novel’ AI-generated works use others’ ideas without credit. By Ananya | @nature.com www.nature.com/articles/d41...
nature.com
What counts as plagiarism? AI-generated papers pose new risks
Researchers argue over whether ‘novel’ AI-generated works use others’ ideas without credit.
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 27/08/2025
Researchers are developing AI tools to generate novel research ideas and papers. But, there's a concern that these tools might just be reusing existing ideas without credit. I dug into the debate for @nature.com www.nature.com/articles/d41...
nature.com
What counts as plagiarism? AI-generated papers pose new risks
Researchers argue over whether ‘novel’ AI-generated works use others’ ideas without credit.
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 27/08/2025
For @nature.com, I write about the book Amphibious Anthropologies, which explores what it means to live in wet environments — where the boundaries between land and water are constantly redrawn — all over the world. www.nature.com/articles/d41...
nature.com
Why amphibious, wet environments hold the key to climate adaptation
As the planet braces for climate-change-induced fluctuations, the wisdom of communities living at the intersection of land and water could offer valuable lessons.
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 11/10/2024
Indian researchers suspect they were passed over for major awards after criticizing government policies. New by me for Science Magazine science.org/content/arti...
science.org
Indian government accused of political meddling in science prizes
Researchers suspect they were passed over for major awards after criticizing government policies
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 16/07/2024
Today's tests cannot provide any meaningful assessment of AI's ability to reason or understand, and yet there are so many claims that AI systems have humanlike cognitive abilities. I report on the current state of evaluation practices for @sciencenews.bsky.social www.sciencenews.org/article/ai-u...
sciencenews.org
AI's understanding and reasoning skills can't be assessed by current tests
Assessing whether large language models — including the one that powers ChatGPT — have humanlike cognitive abilities will require better tests.
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 26/04/2024
Researchers found that OpenAI's speech recognition model, Whisper, fabricated about 1.4% of the audio transcriptions tested, about 40% of which were harmful or concerning in some way. It's hard to spot them without listening to the audio again. My report for Science: www.science.org/content/arti...
science.org
AI transcription tools ‘hallucinate,’ too
Study finds surprisingly harmful fabrications in OpenAI’s speech-to-text algorithm
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 04/04/2024
Thanks, Andrew! I will take a look at the paper
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 01/04/2024
LLM-based multilingual chatbots are becoming common nowadays. But these chatbots might not be the best at answering your healthcare queries, especially if you ask in Hindi, Mandarin and Spanish. My latest for @sciam.bsky.social exploring the problems. www.scientificamerican.com/article/chat...
scientificamerican.com
Chatbots Struggle to Answer Medical Questions in Widely Spoken Languages
Two popular chatbots showed some difficulty in providing medical information when asked in Spanish, Hindi or Mandarin
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 26/03/2024
...catch everything. The models and what goes into them, behind them, all of it is often hidden. Deemed proprietary knowledge by companies making these models. But, w/o access to this information, it's hard to say what problems might exist, where exactly the biases arise and how best to squash them.
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 26/03/2024
Broadly, these models learn to make associations between images and their captions. But the captions themselves can contain incorrect, incomplete, biased, and, as @abeba.bsky.social and team found, harmful content (which increased as the dataset size increased) . And automated filtering doesn't...
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 26/03/2024
The models often rely on racist and sexist stereotypes to generate images, sometimes even amplifying bias. Stereotypes related to gender, skin colour, occupations, nationalities, geographies and more.
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 26/03/2024
...we've sort of decided as a society that that's not what one should do and putting them in immediately forces a decision about stereotypes, she says. Yet, that's what we can ask these models to do.
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 26/03/2024
One thing that stuck with me from my conversation with Ria is that concepts like poor or kind - words that can't be imaged from a societal perspective - can be fed in as much as any other word, like red or car. It's really harmful to put them into these models because...
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 26/03/2024
Most solutions - writing better prompts, adding sample images - are band aid fixes, and don't address the underlying problems in how these systems are built. There are many ways for these models to be biased that we haven't figured out yet. And there's certainly no way to automate safety.
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 26/03/2024
For Nature, I spoke to researchers about tracing sources of bias in image-generating AI, and if they can be fixed. www.nature.com/articles/d41... With inputs from @abeba.bsky.social, @rajiinio.bsky.social, Pratyusha Ria Kalluri, Kathleen Fraser and Will Orr.
nature.com
AI image generators often give racist and sexist results: can they be fixed?
Researchers are tracing sources of racial and gender bias in images generated by artificial intelligence, and making efforts to fix them. Researchers are tracing sources of racial and gender bias in i...
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 04/03/2024
For Al Jazeera, I report on how things keep getting worse for India's Urban Company workers and trainees. www.aljazeera.com/economy/2024...
aljazeera.com
India’s Urban Company revolutionised gig work for women. Then it bled them
Multiple costs to qualify for work leads, forced product purchases, high rate of blockings have stripped their earnings.
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 13/12/2023
Recently, many generative AI tools have been released for public use and more and more companies are looking to integrate these tools into their workflows. What makes them popular and what are the concerns? I talked to @melaniemitchell.bsky.social to know more. sciencenews.org/article/gene...
sciencenews.org
Generative AI grabbed headlines this year. Here’s why and what’s next
Prominent artificial intelligence researcher Melanie Mitchell explains why generative AI matters and looks ahead to the technology’s future.
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 28/10/2023
Find the collection here: archive.org/details/Serv...
archive.org
Internet Archive: Digital Library of Free & Borrowable Books, Movies, Music & Wayback Machine
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 28/10/2023
Free, accessible and well-stocked public libraries are hard to find in India. For @techreview.bsky.social, I write about an effort to digitize books in various Indian languages. technologyreview.com/2023/10/25/1...
technologyreview.com
The grassroots push to digitize India’s most precious documents
The Servants of Knowledge collection on the Internet Archive is an effort to make up for the lack of library resources in India.
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Ananya (ಅನನ್ಯ) @punarpuli.bsky.social · 08/09/2023
Algorithms are increasingly being used to make various decisions about our lives, decisions that are often invisible to us. Can we trust those decisions? For Scientific American, I write about how algorithms can go wrong. www.scientificamerican.com/article/algo...
scientificamerican.com
Algorithms Are Making Important Decisions. What Could Possibly Go Wrong?
Seemingly trivial differences in training data can skew the judgments of AI programs—and that’s not the only problem with automated decision-making
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Reposted by Ananya (ಅನನ್ಯ)
Sophie Bushwick @sophiebushwick.bsky.social · 07/09/2023
Seemingly trivial differences in training data can skew the judgments of AI programs—and that’s not the only problem with automated decision-making, by @punarpuli.bsky.social
scientificamerican.com
Algorithms Are Making Important Decisions. What Could Possibly Go Wrong?
Seemingly trivial differences in training data can skew the judgments of AI programs—and that’s not the only problem with automated decision-making
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