All articles tagged with #algorithms
Instagram CEO Adam Mosseri says removing the platform's ranking algorithms would overwhelm users with brand content and reduce engagement, arguing that a reverse-chronological feed is not a solution; the comments come as Australia weighs letting users opt out of algorithms, while Instagram pursues transparency about how feeds are curated and hints at future AI-assisted explanations for content being shown.
Australia is drafting a 'digital duty of care' law that would require platforms such as Meta to offer users an option to turn off algorithm-driven recommendations in their feeds, aiming to curb addictive or sensational content and extend protections including for children; the draft bill is expected to be introduced to Parliament this week.
The piece argues that computer science is not defined by actual machines but by the study of computation itself, tracing debates from Newell–Perlis–Simon to Knuth and the emphasis on algorithms. It sits at the crossroads of math and engineering and can be explored through models of computation (such as the Turing machine) and complexity theory, showing how deep theoretical questions and practical machine-building have always influenced each other.
AI-driven pricing models and listing algorithms may be shaping real estate values by accelerating price changes and masking true market signals, impacting buyers and sellers and raising questions about market transparency.
LinkedIn will curb AI-generated 'slop' by demoting posts that show obvious AI patterns or lack originality from recommendations, while still allowing AI-assisted content that offers real ideas; the policy targets engagement bait and recycled 'thought leadership', relying on signals from user engagement and editorial input, with early results encouraging and expectations of further declines in the coming weeks and months.
The U.S. Department of Justice told French authorities it will not assist their probe into Elon Musk's X, saying the request would entangle the United States in a politically charged case about regulating speech and that Paris’s inquiry centers on X's algorithms and data practices.
French President Emmanuel Macron denounced tech giants' claims to defend free speech, insisting platforms must be transparent about how their algorithms work and acknowledging inherent biases; he made the remarks during a New Delhi event on India-France university partnerships, framing the debate within broader EU tech rules and his push to curb youth access to social media.
A Futurism article says AI-generated junk—especially text-to-video—has flooded Facebook and Instagram feeds with disturbing, racist, and bizarre clips, driven by engagement-based algorithms that amplify what users watch; YouTube's Neal Mohan says combatting AI slop is a top priority, while some creators fight back against AI theft, and the situation is expected to worsen as platforms rely on signals to determine what users see.
A Verge opinion piece argues that Instagram chief Adam Mosseri’s focus on authenticity amid AI-powered content misses the core issue: the platform’s algorithm rewards repetitive, easily scalable content—whether AI-made or human-made—making genuine originality hard to sustain without new incentives for real creators.
The article explores how algorithms used in pricing can inadvertently collude and drive up prices, making regulation challenging. It discusses recent research showing that even benign algorithms can lead to high prices and highlights the complexities of regulating algorithmic behavior in markets, emphasizing the subtlety of strategic interactions and the potential for unintended outcomes.
MIT researchers have developed the first provably efficient algorithm for machine learning with symmetric data, which can improve model accuracy and reduce resource requirements by effectively incorporating symmetry into the training process, with applications spanning from drug discovery to climate analysis.
Williams proved a groundbreaking theoretical result showing that algorithms using less space can solve all problems solvable with more time, and established a quantitative gap between the power of space and time, advancing understanding in computational complexity and challenging long-held assumptions.
The article discusses the author's preference for Last.fm over Spotify Wrapped for tracking music listening habits. While Spotify Wrapped is criticized for its AI-driven, marketing-focused presentation, Last.fm offers a straightforward, data-focused archive of listening history. The author appreciates Last.fm's ability to provide meaningful insights into personal music tastes and experiences, contrasting it with Spotify's commercial approach. The piece also highlights the importance of personal agency in music consumption, encouraging listeners to explore beyond algorithm-driven recommendations.
China's Cyberspace Administration is launching a campaign to curb internet echo chambers and discriminatory pricing algorithms. The initiative aims to prevent tech companies from using recommendation algorithms to create 'information cocoons' and to ensure transparency in content ranking. The directive also targets discriminatory pricing in e-commerce, requiring platforms to avoid pricing based on personal factors and to disclose algorithmic processes. Businesses have until the end of the year to comply, with assessments beginning in January.
Researchers have proven that a version of Dijkstra's algorithm, a classic path-finding method developed in 1956, is the best approach for solving the single-source shortest-paths problem across any street grid, assuming worst-case traffic patterns. This algorithm, which is a staple in computer science education, has been shown to be universally optimal, meaning it performs best on every possible network layout. The breakthrough was achieved by focusing on the data structure used in the algorithm, leading to a simpler and more efficient design.