Melissa Heikkilä

On my first day as the @FT's new AI reporter, the stock market crashed and Silicon Valley freaked out about DeepSeek's AI model. 😅 But what exactly was DeepSeek's breakthrough? I read their research paper. Here's why it's a big deal: https://t.co/xTvZuWLBJA

RT @tim: The "how the hell did they do that" @deepseek_ai explainer for the rest of us that you've been waiting for, from the @FT's new AI…

RT @madhumita29: Welcome to the FT’s newest AI reporter @Melissahei who has come out the gate swinging. Her piece explaining the thing ever…

RT @GiadaPistilli: Just shared my thoughts with @techreview on AI's data problem. After years studying cultural biases in AI, the new findi…

RT @YJernite: This needs to be a much stronger focus of esp. policy conversation. Would love to hear labor and civil society orgs in gener…

RT @sarahbmyers: Data isn’t a naturally occurring resource; it’s shaped by the intentions and design of those collecting it - this means th…

New research reveals a worrying trend: AI's data practices risk concentrating power overwhelmingly in the hands of dominant technology companies. I spoke w/@ShayneRedford @sarahookr @sarahbmyers @GiadaPistilli about what this says about the state of AI https://t.co/GqCjObTGho

RT @ShayneRedford: ✨New Report✨ Our data ecosystem audit across text, speech, and video (✏️,📢,📽️) finds: 📈 Rising reliance on web, synthet…

RT @parismarx: “I just hope that no one truly falls for it and gets tricked into crypto scams.” I spoke to @Melissahei about the issues I’…

Meet @TheGlazeProject, the AI lab behind Glaze and Nightshade, two prominent weapons in an artist’s arsenal against nonconsensual AI scraping. The lab wants to tilt the balance of power from Big Tech back to individual creators. But are their tools enough?https://t.co/4jyIyqw7j7

RT @niallfirth: It's hard for artists and others to prove their work has been scraped to train AI. Now they might have a weapon to fight ba…

Until now, it's has been hard to know whether specific text has been used in AI training. New “copyright traps” could help writers do that by subtly marking work in order to later detect whether it has been used in AI models or not. New from me @techreview https://t.co/YVr1gLWlIo

RT @yvesalexandre: Great piece by @Melissahei on our @icmlconf paper on copyright traps.

RT @MirowskiPiotr: Thank you @yannon_ (and @Melissahei) for covering in @techreview our @GoogleDeepMind study with 20 professional comedia…

Got my hands on the latest issue of @techreview with a story I wrote on the cover! It's about how advances in AI are helping roboticists bring us closer to the field's holy grail: Useful home robots. https://t.co/y2eQiZlNiO 📷 https://t.co/mYDtxQKQYU

RT @absw: 📰 News Item of the Year 📰 📣 #ABSWawards finalists announced 👉https://t.co/wi9urAfDul @JessHamzelou @techreview @Melissahei @t…

RT @SandraWachter5: “I think we might just have to say goodbye to finding out about the truth in a quick way” thank you @techreview @Meliss…