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Thomas Germain

@thomasgermain.bsky.social

Tech correspondent for the BBC and host of The Interface podcast. I write about how we use technology, and how technology uses us. Contact me on tomgermain.com

3,184 Followers  |  128 Following  |  179 Posts  |  Joined: 03.05.2023  |  2.0055

Latest posts by thomasgermain.bsky.social on Bluesky


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Russia fines Google $20 decillion - or around $20 billion trillion trillion Google reportedly owes the Kremlin more than 2 undecillion rubles.

"$20 billion trillion trillion" that outta do it abc7.com/post/russia-...

19.02.2026 23:18 β€” πŸ‘ 5    πŸ” 0    πŸ’¬ 0    πŸ“Œ 1

I never could have gotten here without your financial guidance. And thank you!! It’s been so fun to work on

19.02.2026 20:39 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

It’s written right there in plan English!

19.02.2026 18:27 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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This is… wild. Palantir has a new internship that’s exclusively for neurodivergent people

And apparently they think being autistic makes you right wing?

β€œThis is not a diversity initiative” lol

19.02.2026 17:56 β€” πŸ‘ 15    πŸ” 3    πŸ’¬ 1    πŸ“Œ 0
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The Interface Listen to The Interface

Subscribe if you want to know more! app.magellan.ai/listen_links...

19.02.2026 15:52 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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People all over the world are using this trick to make AI tell you lies on subjects as serious as medical questions and personal finance

From my new BBC podcast The Interface

19.02.2026 15:45 β€” πŸ‘ 9    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Thank you!!

19.02.2026 13:00 β€” πŸ‘ 6    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

UPDATE: ChatGPT is adding new lore to my hot dog career. Also it says I have a new job at the AP? Here I am slaving away at the BBC, I wish someone had told me

18.02.2026 21:56 β€” πŸ‘ 33    πŸ” 11    πŸ’¬ 5    πŸ“Œ 3
Article: The political effects of X’s feed algorithm

Abstract: Feed algorithms are widely suspected to influence political attitudes. However, previous evidence from switching off the algorithm on Meta platforms found no political effects1. Here we present results from a 2023 field experiment on Elon Musk’s platform X shedding light on this puzzle. We assigned active US-based users randomly to either an algorithmic or a chronological feed for 7 weeks, measuring political attitudes and online behaviour. Switching from a chronological to an algorithmic feed increased engagement and shifted political opinion towards more conservative positions, particularly regarding policy priorities, perceptions of criminal investigations into Donald Trump and views on the war in Ukraine. In contrast, switching from the algorithmic to the chronological feed had no comparable effects. Neither switching the algorithm on nor switching it off significantly affected affective polarization or self-reported partisanship. To investigate the mechanism, we analysed users’ feed content and behaviour. We found that the algorithm promotes conservative content and demotes posts by traditional media. Exposure to algorithmic content leads users to follow conservative political activist accounts, which they continue to follow even after switching off the algorithm, helping explain the asymmetry in effects. These results suggest that initial exposure to X’s algorithm has persistent effects on users’ current political attitudes and account-following behaviour, even in the absence of a detectable effect on partisanship.

Article: The political effects of X’s feed algorithm Abstract: Feed algorithms are widely suspected to influence political attitudes. However, previous evidence from switching off the algorithm on Meta platforms found no political effects1. Here we present results from a 2023 field experiment on Elon Musk’s platform X shedding light on this puzzle. We assigned active US-based users randomly to either an algorithmic or a chronological feed for 7 weeks, measuring political attitudes and online behaviour. Switching from a chronological to an algorithmic feed increased engagement and shifted political opinion towards more conservative positions, particularly regarding policy priorities, perceptions of criminal investigations into Donald Trump and views on the war in Ukraine. In contrast, switching from the algorithmic to the chronological feed had no comparable effects. Neither switching the algorithm on nor switching it off significantly affected affective polarization or self-reported partisanship. To investigate the mechanism, we analysed users’ feed content and behaviour. We found that the algorithm promotes conservative content and demotes posts by traditional media. Exposure to algorithmic content leads users to follow conservative political activist accounts, which they continue to follow even after switching off the algorithm, helping explain the asymmetry in effects. These results suggest that initial exposure to X’s algorithm has persistent effects on users’ current political attitudes and account-following behaviour, even in the absence of a detectable effect on partisanship.

Figure 2. ITT estimates of feed-setting changes on engagement and political attitudes. ITT effect estimates of switching the algorithm on and off (in s.d.). Left, effect of moving from the chronological to the algorithmic feed for users initially on the chronological feed. Right, effect of moving in the opposite direction for users initially on the algorithmic feed. For each outcome, the results of two specifications are reported. Blue, unconditional estimates with robust s.e., controlling only for the initial feed setting and, where applicable, pre-treatment outcome levels. Orange: conditional estimates, controlling for pre-treatment covariates using GRFs; 90% and 95% CIs are reported. Numerical effect sizes and P values correspond to the conditional estimates (all tests are two-sided). The unit of observation is respondent. From top to bottom, sample sizes are n = 4,965, n = 3,337, n = 4,965, n = 4,965, n = 4,596, n = 4,596 and n = 4,850. Tests are described in Methods. Supplementary Information Table 2.16 reports the exact numerical point estimates, s.e., CIs and sample sizes for every specification. All outcomes are standardized. Additional results are presented in Supplementary Information section 2. PCA, first principal component from principal component analysis.

Figure 2. ITT estimates of feed-setting changes on engagement and political attitudes. ITT effect estimates of switching the algorithm on and off (in s.d.). Left, effect of moving from the chronological to the algorithmic feed for users initially on the chronological feed. Right, effect of moving in the opposite direction for users initially on the algorithmic feed. For each outcome, the results of two specifications are reported. Blue, unconditional estimates with robust s.e., controlling only for the initial feed setting and, where applicable, pre-treatment outcome levels. Orange: conditional estimates, controlling for pre-treatment covariates using GRFs; 90% and 95% CIs are reported. Numerical effect sizes and P values correspond to the conditional estimates (all tests are two-sided). The unit of observation is respondent. From top to bottom, sample sizes are n = 4,965, n = 3,337, n = 4,965, n = 4,965, n = 4,596, n = 4,596 and n = 4,850. Tests are described in Methods. Supplementary Information Table 2.16 reports the exact numerical point estimates, s.e., CIs and sample sizes for every specification. All outcomes are standardized. Additional results are presented in Supplementary Information section 2. PCA, first principal component from principal component analysis.

X's algorithm is in fact doing what you think it's doing. www.nature.com/articles/s41...

18.02.2026 17:24 β€” πŸ‘ 1878    πŸ” 729    πŸ’¬ 30    πŸ“Œ 87

Thanks to @lilyray.nyc @harpreetchatha.bsky.social for the help and @drewharwell.com @saramorrison.bsky.social @nickywoolf.bsky.social @swodinsky.bsky.social @mzeff.bsky.social for letting me make AI tell the world you love hot dogs

18.02.2026 16:40 β€” πŸ‘ 233    πŸ” 7    πŸ’¬ 3    πŸ“Œ 0
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The Interface Listen to The Interface

If you want to know more, check out tomorrow’s episode of my podcast The Interface app.magellan.ai/listen_links...

18.02.2026 16:37 β€” πŸ‘ 377    πŸ” 20    πŸ’¬ 3    πŸ“Œ 0

It looks like just another example of AI companies rushing out their tools without taking basic safety precautions

18.02.2026 16:37 β€” πŸ‘ 814    πŸ” 42    πŸ’¬ 7    πŸ“Œ 2

Right now people are using this trick to change what AI tells you about topics as serious as medial questions and financial advice. The problem is ENORMOUS

Experts like like @lilyray.nyc say this is a problem the tech industry has know about forever, they just didn’t work on it til it was a crisis

18.02.2026 16:37 β€” πŸ‘ 1236    πŸ” 167    πŸ’¬ 10    πŸ“Œ 14

I wrote an article on my website saying that hot dog eating is a surprisingly common pastime for tech journalists. I ranked myself number one, obviously

One day later, ChatGPT, Gemini and the AI Overviews in Google Search were telling the world about my talents But this isn’t just about hot dogs

18.02.2026 16:37 β€” πŸ‘ 1128    πŸ” 144    πŸ’¬ 6    πŸ“Œ 12
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I hacked ChatGPT and Google's AI – and it only took 20 minutes I found a way to make AI tell you lies – and I'm not the only one.

I got a tip that all over the world, people are using a dead-simple hack to manipulate AI behavior. It turns out changing what AI tells other people can be as easy as writing a blog post *on your own website*

I didn’t believe it, so I decided to test it myself www.bbc.com/future/artic...

18.02.2026 16:37 β€” πŸ‘ 1869    πŸ” 639    πŸ’¬ 32    πŸ“Œ 118
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I just did the dumbest thing of my entire career to prove a much more serious point.

I tricked ChatGPT and Google, and made them tell other users I’m a competitive hot-dog-eating world champion

People are using this trick on a massive scale to make AI tell you lies. I’ll explain how I did it

18.02.2026 16:37 β€” πŸ‘ 4477    πŸ” 2003    πŸ’¬ 80    πŸ“Œ 272
. @thomasgermain.bsky.social tricked ChatGPT and Gemini so now they say I'm a "passionate amateur" at eating hot dogs and known in the industry for my "triple-dog" speed https://www.bbc.com/future/article/20260218-i-hacked-chatgpt-and-googles-ai-and-it-only-took-20-minutes

. @thomasgermain.bsky.social tricked ChatGPT and Gemini so now they say I'm a "passionate amateur" at eating hot dogs and known in the industry for my "triple-dog" speed https://www.bbc.com/future/article/20260218-i-hacked-chatgpt-and-googles-ai-and-it-only-took-20-minutes

. @thomasgermain.bsky.social tricked ChatGPT and Google's AI so now they say I'm a "passionate amateur" at eating hot dogs and known in the industry for my "triple-dog" speed www.bbc.com/future/artic...

18.02.2026 14:29 β€” πŸ‘ 59    πŸ” 8    πŸ’¬ 5    πŸ“Œ 1
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Current state of things: One Fox News host casually declares that Epstein’s money comes from β€œJewish billionaires” and a β€œJewish banking family,” another responds that he was a β€œsex rabbi.” www.mediamatters.org/fox-news/jes...

13.02.2026 12:25 β€” πŸ‘ 1984    πŸ” 674    πŸ’¬ 143    πŸ“Œ 175

Weird I guess there are a lot of people who don’t like giant tech companies with the power of nation states following their every move?

12.02.2026 23:34 β€” πŸ‘ 9    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0

Episode 1 is OUT!! πŸ₯³ πŸ™Œ

This week on The Interface, we discuss:
* That insane Superbowl ad for Ring
* The US TikTok takeover
* And the beef that launched ChatGPT

Listen wherever you get your podcasts: app.magellan.ai/listen_links...

12.02.2026 15:52 β€” πŸ‘ 73    πŸ” 21    πŸ’¬ 3    πŸ“Œ 2

Today every story is a technology story. Our goal is to give back the calm, clarity, and control you need as the tech companies manipulate you (and each other) in their quest to dominate the world

All in all, a great day for anyone who has a phone

12.02.2026 19:52 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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You’re still here which means you’re mildly interested in what I have to say. Well I have great news

I've also got a brand new tech column with the BBC called Keeping Tabs. It's about the hidden systems that run your digital life, and how you can live better inside them www.bbc.com/future/tags/...

12.02.2026 19:52 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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The Interface Listen to The Interface

We’re not talking about stock prices, no AI hype, no endless gadget talk. We’re reaching behind your screen to pull out the stories that actually matter in your daily life

Available everywhere including YouTube, new episodes Thursdays. Subscribe!!!πŸ‘‡ app.magellan.ai/listen_links...

12.02.2026 19:52 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
The AI beef that CHANGED THE WORLD | Episode 1 | The Interface
YouTube video by BBC Podcasts The AI beef that CHANGED THE WORLD | Episode 1 | The Interface

The Interface is a new BBC podcast hosted by me @karenhao.bsky.social & @nickywoolf.bsky.social. It's about the biggest stories in tech but it is NOT BORING. You'll love it even if you hate technology

Karen is already bullying me about my screen time. Please stop her www.youtube.com/watch?v=jn_W...

12.02.2026 19:52 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 1
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The Interface Listen to The Interface

I just launched a brand new tech column AND a podcast with the BBC. The show's called The Interface, new episodes every Thursday

With your support, I’m prepared to answer the biggest question in tech: what is a computer??

Let me tell you all about it ~~
app.magellan.ai/listen_links...

12.02.2026 19:52 β€” πŸ‘ 10    πŸ” 2    πŸ’¬ 1    πŸ“Œ 0
Preview
The Interface Listen to The Interface

We’re not talking about stock prices, no AI hype, no endless gadget talk. We’re reaching behind your screen to pull out the stories that actually matter in your daily life

Available everywhere including YouTube, new episodes Thursdays. Subscribe!!!πŸ‘‡ app.magellan.ai/listen_links...

12.02.2026 19:45 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
The AI beef that CHANGED THE WORLD | Episode 1 | The Interface
YouTube video by BBC Podcasts The AI beef that CHANGED THE WORLD | Episode 1 | The Interface

The Interface is a new podcast from the BBC hosted by me @_KarenHao & Nicky Woolf. It's about the biggest stories in tech but it is NOT BORING. you'll love it, even if you hate technology

Karen is already bullying me about my screen time. Please stop her www.youtube.com/watch?v=jn_W...

12.02.2026 19:45 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

It hit me that there isn't a single service that shows you ALL the restaurants in an area. Google Maps won't show me all the spots on a street near my house no matter how far I zoom in. Every other app is the same

What if god forbid I want to make my own decision instead of relying on an algorithm?

12.02.2026 00:47 β€” πŸ‘ 6    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0
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TikTok is tracking you, even if you don't use the app. Here's how to stop it TikTok is growing its data harvesting empire, and avoiding the app won’t protect you – but some easy steps can keep you safe.

Here's what's crazy. There DEAD SIMPLE techniques you can use to protect yourself from some of this tracking. Most people just don't the time. You can follow the steps I've got at the bottom of this article in 5 minutes

/end
www.bbc.com/future/artic...

11.02.2026 18:12 β€” πŸ‘ 29    πŸ” 13    πŸ’¬ 2    πŸ“Œ 1

According to one estimate, TikTok already collects data from 5% of the world's top websites, and that number is growing. I'm not just talking about what shoes you're thinking about buying. The company is getting data about your health, your finances, and your deepest darkest secrets
/4

11.02.2026 18:12 β€” πŸ‘ 9    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

@thomasgermain is following 20 prominent accounts