🚨 Meta’s AI Wants Your Camera Roll:
Facebook recently launched a new feature that allows people to give it access to their camera roll so they can receive suggestions of photos and videos, including collages and edits, to post on social media.
What Meta frames as a tool to "automatically surface hidden gems" is actually a strategic way to get access to billions of photos and videos, which will also be used to train Meta's AI.
Regardless of how advanced AI becomes, critical thinking will remain essential for navigating the digital environment and its complex tangle of tricks, manipulation, hidden intentions, and malicious interests...
👉 Read my full essay (and join 82,100+ subscribers) using the link below.
Uusi podijakso ulkona! Vieraiksi sain verkkokauppagurut Reiman Heikki Lempinen ja Dash Retailin Markus Varsikko 🔝📦 @moykky#reima@AaltoUniversity@AaltoBIZ
https://t.co/KtWLjttCdB
To illustrate just how nonsensically these tariffs were calculated, take the example of Lesotho, one of the poorest countries in Africa with just $2.4 billion in annual GDP, which is being struck with a 50% tariff rate under the Trump plan, the highest rate among all countries on the list.
Why? Does Lesotho apply extortionate tariffs on U.S. products and the U.S. is merely being "reciprocal" here? Not at all, despite what Trump is saying, it's NOT the way these tariffs are defined.
As a matter of fact Lesotho, as a member of the Southern African Customs Union (SACU), applies the common external tariff structure established by this regional trade bloc.
Which means it applies the same tariffs on U.S. products as South Africa does, as well as the 3 other members of the bloc: Namibia, Eswatini and Botswana.
So since the tariffs charged by these 5 countries on U.S. products are exactly the same, they must all be struck with a 50% tariff rate by the U.S., right? Not at all: South Africa is getting 30%, Namibia 21%, Botswana 37% and Eswatini just 10%, the lowest rate possible among all countries.
So what gives? Again, the way these tariffs are calculated has absolutely zero relationship with actual tariffs imposed by these countries on U.S. products. Instead, they appear to be simply derived from trade deficit calculations.
Looking at Lesotho specifically, every year the U.S. imports approximately $236 million in goods from Lesotho (primarily diamonds, textiles and apparel) while exporting only about $7 million worth of goods to Lesotho (https://t.co/uHvem6nH2o).
Why do they export so little? Again this is an extremely poor country where 56.2% of the population lives with less than $3.65 a day (https://t.co/GEho8xFjAp), i.e. $1,300 a year. They simply can't afford U.S. products, no-one is going to buy an iPhone or a Tesla on that sort of income...
The way the tariffs are ACTUALLY calculated appears to be based on a simplistic and economically senseless formula: you take the trade deficit the U.S. has with a country, divide it by that country's exports to the U.S and declare this - falsely - "the tariff they charge on the U.S."
And then as Trump did in his speech last night, you magnanimously declare that you'll only "reciprocate" by charging half that "tariff" on them.
As such, for Lesotho, the calculation goes like this: ($236M - $7M)/$235M = 97%. That's the "tariff" Lesotho is deemed to charge this U.S. and half of that, i.e. roughly 50% is what the U.S. "reciprocates" with.
It's extremely easy to see why this makes no sense at all.
First of all, there's nothing Lesotho can do about it: they can't change tariffs they allegedly charge the U.S. to reduce the tariff rate the U.S. "reciprocates" with because, again, it's NOT based on any tariff that they charge.
Similarly they can't do much about reducing the trade deficit they have with the U.S. because, again, they simply don't have enough money to buy U.S. products.
Also the main rational Trump gave for the tariffs is to get production back to the U.S., to "bring manufacturing back". 47.3% of Lesotho's exports are diamonds: how do you bring the "manufacturing" of that "back to the U.S."? Anyone can see it makes just about zero sense.
The Lesotho example exposes the fundamental economic incoherence of these tariffs. Rather than addressing actual trade barriers, they punish countries based on trade deficits that arise from structural economic realities. All the more countries like Lesotho which pose zero competitive threat to American industry.
Worse yet, these tariffs will likely make these structural realities even worse: the U.S. is Lesotho's second most important export destination so it's a fair bet that applying 50% tariffs on their products will make people in Lesotho even poorer, and therefore even LESS able to afford U.S. products.
But perhaps the most unfair and detrimental aspect of all this is that these tariffs represent a complete reversal of longstanding U.S. development policy, and therefore a betrayal of countries - like Lesotho - who chose to follow U.S. advice in the past.
For decades the U.S. has used preferential trade access to encourage economic development in the world's poorest nations, recognizing that trade, not just aid, could get them out of poverty and ultimately put them in a position where they too could afford iPhones or Tesla.
They're now effectively penalizing countries for following previous U.S. policy, a lesson which I bet they won't forget anytime soon.
So all in all the irony is painful: in the name of fighting unfair trade, America has just demonstrated what truly unfair trade looks like.
This isn't something designed to address genuine trade issues, but simply a mechanism based on arbitrary math to punish countries for the affront of selling more to the United States than they buy.
Uusi jakso Markkinoinnin tilaa on eetterissä! 🎙️ Kysymme, uskotkaanko numeroihin, vai tiedetäänkö paremmin? Vieraina Katiye Vuorela @Vuorela ja Kati Riikonen @katiriik.
https://t.co/HjZP27nKdb
Your brain's next 5 seconds, predicted by AI
Transformer predicts brain activity patterns 5 seconds into future using just 21 seconds of fMRI data
Achieves 0.997 correlation using modified time-series Transformer architecture
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🧠 Original Problem:
Predicting future brain states from fMRI data remains challenging, especially for patients who can't undergo long scanning sessions. Current methods require extensive scan times and lack accuracy in short-term predictions.
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🔬 Solution in this Paper:
→ The paper introduces a modified time series Transformer with 4 encoder and 4 decoder layers, each containing 8 attention heads
→ The model takes a 30-timepoint window covering 379 brain regions as input and predicts the next brain state
→ Training uses Human Connectome Project data from 1003 healthy adults, with preprocessing including spatial smoothing and bandpass filtering
→ Unlike traditional approaches, this model omits look-ahead masking, simplifying prediction for single future timepoints
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🎯 Key Insights:
→ Temporal dependencies in brain states can be effectively captured using self-attention mechanisms
→ Short input sequences (21.6s) suffice for accurate predictions
→ Error accumulation follows a Markov chain pattern in longer predictions
→ The model preserves functional connectivity patterns matching known brain organization
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📊 Results:
→ Single timepoint prediction achieves MSE of 0.0013
→ Accurate predictions up to 5.04 seconds with correlation >0.85
→ First 7 predicted timepoints maintain high accuracy
→ Outperforms BrainLM with 20-timepoint MSE of 0.26 vs 0.568
As part of our new report on RTB as a security threat and previously unreported, we reveal 'Patternz', a private mass surveillance system that harvests digital advertising data on behalf of 'national security agencies'.
5 billion user profiles, data from 87 adtech firms. Thread: