Melissa Heikkilä
@Melissahei
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AI Correspondent @FT. Former senior reporter for AI @techreview. | Ex @POLITICOEurope & @TheEconomist |
London
Joined January 2013
The open AI race is becoming more competitive, and more international. Check out @Melissahei's excellent coverage of our new study in the @FT! https://t.co/hCi9rX265I
ft.com
Beijing-backed technology gains ground as American giants hold fast to ‘closed’ AI strategies
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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.
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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
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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.
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"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
ft.com
It has been tipped as the next big breakthrough out of Silicon Valley, but is it a scientific goal — or a marketing buzzword?
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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."
ft.com
Google’s AI arm led by Demis Hassabis makes it harder for its researchers to publish studies in major change in approach
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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
https://t.co/RM02OhbcAn
ft.com
European Commission considers softening parts of law that could spare Big Tech from key elements
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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.
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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:
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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
ft.com
Chinese artificial intelligence group’s use of ‘reinforcement learning’ and ‘small language models’ leads to breakthroughs
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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
Chinese artificial intelligence group’s use of ‘reinforcement learning’ and ‘small language models’ leads to breakthroughs
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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
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
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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
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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
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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
New findings show how the sources of data are concentrating power in the hands of the most powerful tech companies.
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✨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.
technologyreview.com
New findings show how the sources of data are concentrating power in the hands of the most powerful tech companies.
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“I just hope that no one truly falls for it and gets tricked into crypto scams.” I spoke to @Melissahei about the issues I’ve faced with impersonators on Bluesky. I hope the devs can address this soon.
technologyreview.com
Cryptoscammers tried to trick me using fake profiles of tech personalities. I am not alone.
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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? https://t.co/4jyIyqw7j7
technologyreview.com
The tools Glaze and Nightshade are giving artists hope that they can fight back against AI that hoovers internet data to train. Are they enough?
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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. https://t.co/rxy7qug6dx
technologyreview.com
The technique has been used throughout history, but now could be a tool in one of the biggest fights in artificial intelligence.
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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
The technique has been used throughout history, but now could be a tool in one of the biggest fights in artificial intelligence.
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