AI Correspondent @FT. Former senior reporter for AI @techreview. | Ex @POLITICOEurope & @TheEconomist |
London
Joined January 2013
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Melissa Heikkilä retweeted
The open AI race is becoming more competitive, and more international.
Check out @Melissahei's excellent coverage of our new study in the @FT!
ft.com/content/931c8218-a9d7…
Melissa Heikkilä retweeted
Our new paper Economies of Open Intelligence is out and covered by @Melissahei in the @FinancialTimes.
It offers the clearest picture yet of how global power is shifting inside the open AI ecosystem, and what it means for the open-source community.
Melissa Heikkilä retweeted
Fascinating discussion in the Financial Times btw @mmitchell_ai and @Melissahei about AGI: "AGI as a whole is just a super problematic concept that provides an air of objectivity and positivity, when, in fact, it’s opening the door for technologists to just do whatever they want."
Silicon Valley is obsessed with AGI. But depending on who you ask, AGI is either a scientific goal, a religion or "vibes and snake oil." So I wanted to know—what exactly is AGI? And why we're unlikely to see it anytime soon. on.ft.com/4kZdER6
Melissa Heikkilä retweeted
"A country of geniuses in a data centre" or "just vibes and snake oil"? @Melissahei asks all the right questions about AGI in today's @FT big read on.ft.com/4kYZXla
Scoop: DeepMind slows down publishing "strategic" research as it seeks to retain a competitive edge in the race to dominate AI. "The company has shifted to one that cares more about product and less about getting research results out for the public good." on.ft.com/41S9m7e
Melissa Heikkilä retweeted
Architects of the EU’s landmark artificial intelligence act have urged Brussels in a letter to halt “dangerous” moves to water down the upcoming AI code of practice.
With @Melissahei
ft.com/content/9051af42-ce3f…
Melissa Heikkilä retweeted
While the world has been hunting for clues about the mysterious DeepSeek founder Liang Wenfeng, I hopped on a plane down to Guangdong to visit the village where he grew up.
Liang returned to Mililing 米历岭村 for the Lunar New Year celebration with his family this week.
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: enterprise-sharing.ft.com/re…
Melissa Heikkilä retweeted
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 reporter @Melissahei enterprise-sharing.ft.com/re…
Melissa Heikkilä retweeted
Welcome to the FT’s newest AI reporter @Melissahei who has come out the gate swinging. Her piece explaining the thing everyone wants to know: what makes DeepSeek innovative? ft.com/content/ea803121-196f…
Melissa Heikkilä retweeted
Just shared my thoughts with @techreview on AI's data problem. After years studying cultural biases in AI, the new findings are unsurprising but concerning: with training data overwhelmingly coming from Western, English-language sources, we're building AI systems that perpetuate a Western-centric worldview and erase other cultures. Data diversity isn't a checkbox — it determines how AI systems represent and respond to daily life across the globe. And with a few tech giants controlling data access, it further concentrates power and limits our ability to build truly inclusive AI.
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 technologyreview.com/2024/12…
Melissa Heikkilä retweeted
This needs to be a much stronger focus of esp. policy conversation.
Would love to hear labor and civil society orgs in general weigh in on what it means for them (nothing good unfortunately) - here to chat more with whoever's interested 👋
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 technologyreview.com/2024/12…
Melissa Heikkilä retweeted
Data isn’t a naturally occurring resource; it’s shaped by the intentions and design of those collecting it - this means that tech firms’ advantage in data collection reshapes infrastructures in their own interests. Read more in this really critical piece by @Melissahei:
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 technologyreview.com/2024/12…
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 technologyreview.com/2024/12…
Melissa Heikkilä retweeted
✨New Report✨ Our data ecosystem audit across text, speech, and video (✏️,📢,📽️) finds:
📈 Rising reliance on web, synthetic, and YouTube data.
🛑 80%+ datasets carry hidden restrictions.
🌍 Relative representation in languages and creators has not improved for 10+ yrs.
We're delighted to see this study covered by @Melissahei in the @techreview: bit.ly/49GEjxv
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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?technologyreview.com/2024/11…
Melissa Heikkilä retweeted
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 back and prove it. @Melissahei with the story.
technologyreview.com/2024/07…
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 technologyreview.com/2024/07…
Melissa Heikkilä retweeted
Great piece by @Melissahei on our @icmlconf paper on copyright traps.
A new tool for copyright holders can show if their work is in AI training data trib.al/Nqu10FG