Samir Kumar

GOOGLE BUILT A SECRET WEAPON FOR FILE DETECTION they ran it internally for years, gmail, drive, safe browsing, hundreds of billions of files every week then they open sourced it it's called magika and it exposes what files really are, not what they pretend to be rename malware to "resume.pdf"? magika sees through it disguise a script as an image? magika sees through it any trick attackers use with file extensions? magika sees through all of it ai trained on 100 million files. 200+ content types. 99% accuracy. 5ms per file one command `pip install magika` the same tool protecting google's billion users is now protecting yours github.com/google/magika

@CharlesMullins2 best bloch sphere animation i have seen to date

🚨 BREAKING: Quantum reality doesn’t choose a state. It holds all of them at once. This is called a Bloch Sphere and every possible state of a quantum system lives on its surface. Spin up. Spin down. Or anything in between. That “in between” is the wild part. It means quantum systems don’t just exist in one state… they exist as superpositions of possibilities. So instead of flipping between 0 and 1… They exist as both. At the same time. That means reality, at its core, isn’t definite it’s probabilistic. This is what quantum computing is built on. Not faster bits… but entirely different rules. Follow me this is where physics stops being intuitive.

Researchers just proved that every single elementary function, sin, exp, log, sqrt, comes from one single binary operator. It is like finding the “God Particle" for calculus. In computer science, every complex program breaks down to a single logical operator: the NAND gate. It is the fundamental building block of all digital reality. But for continuous math, physics, engineering, machine learning, we thought we needed a massive toolbox. Addition. Subtraction. Trigonometry. Logarithms. Every scientific calculator and neural network has to juggle all of them. Until today. But this paper proved that every single mathematical function can be generated by a single, bizarre binary operator. eml(x,y) = exp(x) - ln(y). Combine that with the number 1, and you can build everything. Pi. The square root. Sine and Cosine. Arithmetic. It is all just the exact same operator, repeating over and over again in a binary tree. Nobody anticipated this existed. It was found by systematic exhaustive search. But the implications for AI are massive. Instead of an AI struggling to combine different mathematical rules to discover a new scientific law, it can just use a single, uniform architecture. One trainable circuit. One repeatable node. We thought the language of the universe was complex. It turns out, it's just one equation repeating in the dark.

@jondelarroz kurtzman should be forced to pay restitution for what he has done to the franchise. but ultimately can’t escape the blame on paramount execs who kept green lighting one season after another of the garbage he was producing

New update on Alex Kurtzman and Paramount Star Trek from my insider: Kurtzman's contract is likely going to court. Not arbitration, but full-blown litigation. The only thing Secret Hideout and Skydance agree on is Secret Hideout won't make any more Trek. Things have turned very toxic. Paramount is refusing to pay him his balloon payments. Kurtzman won't surrender the rights, and Paramount wants to announce United ASAP. What do you make of this?

@wallstengine this would be amazing and ultimate payback to doug parker for passing on scott kirby as his successor!

Bloomberg: United $UAL CEO Scott Kirby has floated a possible merger with American Airlines $AAL to senior U.S. officials, according to people familiar with the talks. Any deal would create the world’s largest airline and likely face major antitrust scrutiny.

Marcus Hutchins, the guy famous for stopping the WannaCry Ransomware, probably has the best take on Mythos doing vulnerability research

R-Zero (ICLR 2026) — self-evolving LLM from zero external data. one base model, two roles: Challenger generates hard problems, Solver solves them. Challenger is rewarded when Solver fails. co-evolve with GRPO. Challenger learns to probe for weaknesses, not just generate hard problems. +6.49 math, +7.54 general reasoning on Qwen3-4B-Base. three iterations. no human data. arxiv.org/abs/2508.05004

We conducted cyber evaluations of Claude Mythos Preview and found that it is the first model to complete an AISI cyber range end-to-end. 🧵

India is the world's largest producer of mangos, growing roughly 45-50% of the world's mangos every year. However, less than 1% of those mangos get exported due to the fact that people in India eat almost all of them.

Hey @British_Airways can you share API access to your backend so I can rewrite your piss poor mobile and web frontend in Claude?

Another week on the road meeting with a couple dozen IT and AI leaders from large enterprises across banking, media, retail, healthcare, consulting, tech, and sports, to discuss agents in the enterprise. Some quick takeaways: * Clear that we’re moving from chat era of AI to agents that use tools, process data, and start to execute real work in the enterprise. Complementing this, enterprises are often evolving from “let a thousand flowers bloom” approach to adoption to targeted automation efforts applied to specific areas of work and workflow. * Change management still will remain one of the biggest topics for enterprises. Most workflows aren’t setup to just drop agents directly in, and enterprises will need a ton of help to drive these efforts (both internally and from partners). One company has a head of AI in every business unit that roles up to a central team, just to keep all the functions coordinated. * Tokenmaxxing! Most companies operate with very strict OpEx budgets get locked in for the year ahead, so they’re going through very real trade-off discussions right now on how to budget for tokens. One company recently had an idea for a “shark tank” style way of pitching for compute budget. Others are trying to figure out how to ration compute to the best use-cases internally through some hierarchy of needs (my words not theirs). * Fixing fragmented and legacy systems remain a huge priority right now. Most enterprises are dealing with decades of either on-prem systems or systems they moved to the cloud but that still haven’t been modernized in any meaningful way. This means agents can’t easily tap into these data sources in a unified way yet, so companies are focused on how they modernize these. * Most companies are *not* talking about replacing jobs due to agents. The major use-cases for agents are things that the company wasn’t able to do before or couldn’t prioritize. Software upgrades, automating back office processes that were constraining other workflows, processing large amounts of documents to get new business or client insights, and so on. More emphasis on ways to make money vs. cut costs. * Headless software dominated my conversations. Enterprises need to be able to ensure all of their software works across any set of agents they choose. They will kick out vendors that don’t make this technically or economically easy. * Clear sense that it can be hard to standardize on anything right now given how fast things are moving. Blessing and a curse of the innovation curve right now - no one wants to get stuck in a paradigm that locks them into the wrong architecture. One other result of this is that companies realize they’re in a multi-agent world, which means that interoperability becomes paramount across systems. * Unanimous sense that everyone is working more than ever before. AI is not causing anyone to do less work right now, and similar to Silicon Valley people feel their teams are the busiest they’ve ever been. One final meta observation not called out explicitly. It seems that despite Silicon Valley’s sense that AI has made hard things easy, the most powerful ways to use agents is more “technical” than prior eras of software. Skills, MCP, CLIs, etc. may be simple concepts for tech, but in the real world these are all esoteric concepts that will require technical people to help bring to life in the enterprise. This both means diffusion will take real work and time, but also everyone’s estimation of engineering jobs is totally off. Engineers may not be “writing” software, but they will certainly be the ones to setup and operate the systems that actually automate most work in the enterprise.

Another leak from Anthropic They created a lovable-like feature where you can build full-stack apps easily They are coming after everthing

Physicists find material with almost 3 times the thermal conductivity of copper that could improve heat management of electronics significantly “Our result breaks the historic ceiling for heat transport in metallic materials” scientificamerican.com/article/new-me…

@pritopian udupi palace in the mission

there are no good South Indian restaurants in SF. Have to drive down to madras cafe in sunnyvale every time. 😒

@politvidchannel not knowing anything about here, still think she would be a rhodes scholar in comparison

BREAKING: A woman that looks exactly like President Donald Trump has been discovered in Spain

🚨 ÚLTIMA HORA: Al Jazeera transmite imágenes que muestran por primera vez los ataques iraníes a civiles en Qatar y las contradicciones de las declaraciones iraníes. - Transmitió por primera vez imágenes desde el interior de la base Al Udeid, desprovista de presencia militar.

Footage shows the crew module separating from the service module, as the Artemis II crew begin their descent. The 19 second firing of the thrusters prior to reentry into Earth’s atmosphere has been completed as well. The correct angle for reentry and minimal exposure to high temperatures for reentry has also been completed.

@krassenstein need to deport this morally bankrupt sorry excuse of a gold digging first lady who lied on her visa application

BREAKING: Former Trump attorney ALAN DERSHOWITZ said that he believes that Melania Trump was getting ahead of a possibly highly damaging story about her and Epstein yesterday. when she went before the press. Oh boy, what do you guys think this will be about? Seems like someone is nervous.