An algorithm cracked 87.5% of “complex” Android pattern locks on the first try, using phone camera footage from 8 feet away.
That cool-looking swipe pattern is the weakest option on this list. A 3x3 grid technically has 389,112 combinations, but the average person connects just 5 dots (about 7,000 combos) and most use only 4 (1,624 combos, fewer than a 4-digit PIN). 44% of patterns start in the top-left corner, 77% start in a corner, and about 10% of people just draw the first letter of their name.
The biometrics tell a different story. Touch ID’s false acceptance rate (odds a stranger’s finger unlocks your phone) is 1 in 50,000. Face ID jumped to 1 in 1,000,000 using 30,000 infrared dots to 3D-map your face, though twins and kids under 13 can sometimes fool it. Optic ID matches that 1 in 1,000,000 rate, but the biometric underneath is far richer: your iris has over 200 measurable features versus 40 to 60 for a fingerprint, patterns form randomly in the womb, and even identical twins have completely different irises.
PINs look decent on paper (10,000 combinations for 4 digits) but collapse in practice. In a 3.4 million sample, 10.7% of people chose 1234. Try just 61 combinations and you’d crack a third of all PINs. A study found 6-digit PINs provide “little to no increase in security” over 4-digit ones, because people just pick 123456 or a birth year.
Random stranger picks up your phone? Face ID and Optic ID are 20x more secure than Touch ID and orders of magnitude ahead of most people’s PINs or patterns.
The paper says the best way to manage AI context is to treat everything like a file system.
Today, a model's knowledge sits in separate prompts, databases, tools, and logs, so context engineering pulls this into a coherent system.
The paper proposes an agentic file system where every memory, tool, external source, and human note appears as a file in a shared space.
A persistent context repository separates raw history, long term memory, and short lived scratchpads, so the model's prompt holds only the slice needed right now.
Every access and transformation is logged with timestamps and provenance, giving a trail for how information, tools, and human feedback shaped an answer.
Because large language models see only limited context each call and forget past ones, the architecture adds a constructor to shrink context, an updater to swap pieces, and an evaluator to check answers and update memory.
All of this is implemented in the AIGNE framework, where agents remember past conversations and call services like GitHub through the same file style interface, turning scattered prompts into a reusable context layer.
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Paper Link – arxiv. org/abs/2512.05470
Paper Title: "Everything is Context: Agentic File System Abstraction for Context Engineering"
My heartiest congratulations to Divya Deshmukh who has become the first Indian woman to win the FIDE Women’s World Cup, that too, at a very young age of nineteen. Koneru Humpy being the runner up, both the finalists of the chess world championship were from India. This underlines the abundance of talent in our country, especially among women. I convey my deep appreciation to Koneru Humpy for sustaining excellence throughout her illustrious career. I am sure that both these women champions will continue to bring greater glories and inspire our youth.
911 — You can’t force people to take accountability. If you lack respect for people who have delays in character development then don’t date people who struggle with accountability. You’ll forever be arguing or feeling frustrated.
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Congratulations #TeamIndia!
Our Indian Hockey team has once again made us proud, clinching the Bronze Medal at the Olympics. This victory is even sweeter as it's their second consecutive Olympic Medal.
#Cheer4Bharat#ParisOlympics