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Home · Top Seed Seed Edge Research News Join Us EN 中文 Seedance 1.0 A model that supports multi-shot video generation from both text and image. It achieves breakthroughs in semantic understanding and prompt following, and can create 1080p videos with smooth motion, rich details, and cinematic aesthetics. Full Technical Report Model Arena Smooth & Stable Motion Seedance 1.0 features a wide dynamic range, enabling smooth generation of large-scale movements.
Console Service Health This page provides status information on the services that are part of Google Cloud. Check back here to view the current status of the services listed below. If you are experiencing an issue not listed here, please contact Support. Learn more about whats posted on the dashboard in this FAQ. For additional information on these services, please visit [link].
New revelations that spyware made by a U.S-backed Israeli company was used against at least three European journalists have raised concerns about abuse of commercial spyware even in democratic countries.
Laurie Hérault Follow me Linkedin Twitter Laurie Hérault A receipt printer cured my procrastination How I can focus on my to-do list by understanding the science of video games Why can I focus for hours on a game but procrastinate when writing an email? For over 20 years, Ive tried everything to boost my productivity. Ive read dozens of books and tested many methods.
Late last year, security researchers made a startling discovery: Kremlin-backed disinformation campaigns were bypassing moderation on social media platforms by leveraging the same malicious advertising technology that powers a sprawling ecosystem of online hucksters and website hackers.
Securely connect to anything on the internet with Tailscale. Built on WireGuard®️, Tailscale enables you to make finely configurable connections, secured end-to-end according to zero trust principles, between any resources on any infrastructure.
The curious case of shell commands, or how "this bug is required by POSIX" by Ciprian Dorin Craciun ( [link] ) on 2021-01-03 About the fatal perils and traps of many modern tools that handle "shell commands" as passed through system(3) or sh -c. Or, how by the end of 2020, we still havent given up on shells equivalent "SQL building", or how shells equivalent "SQL injection" still thrives in our engineering world.
Marie Curie worked with radioactive material with her bare hands. More than 100 years later, Sophie Hardach travels to Paris to trace the radioactive fingerprints she left behind.
About What Happens at YC? Apply YC Interview Guide FAQ People YC Blog Companies Startup Directory Founder Directory Launch YC Startup Jobs All Jobs ◦ Engineering ◦ Operations ◦ Marketing ◦ Sales Startup Job Guide YC Startup Jobs Blog Find a Co-Founder Library SAFE Resources Startup School Newsletter Requests for Startups For Investors Hacker News Bookface Open main menu Apply for F2025 batch.
Maximizing revenue for grid-scale battery energy storage systems in continuous intraday electricity markets requires strategies that are able to seize trading opportunities as soon as new information arrives. This paper introduces and evaluates an automated high-frequency trading strategy for battery energy storage systems trading on the intraday market for power while explicitly considering the dynamics of the limit order book, market rules, and technical parameters.
Large language models (LLMs) use data to learn about the world in order to produce meaningful correlations and predictions. As such, the nature, scale, quality, and diversity of the datasets used to train these models, or to support their work at inference time, have a direct impact on their quality. The rapid development and adoption of LLMs of varying quality has brought into focus the scarcity of publicly available, high-quality training data and revealed an urgent need to ground the stewards
Today's AI systems have human-designed, fixed architectures and cannot autonomously and continuously improve themselves. The advance of AI could itself be automated. If done safely, that would accelerate AI development and allow us to reap its benefits much sooner. Meta-learning can automate the discovery of novel algorithms, but is limited by first-order improvements and the human design of a suitable search space.
About What Happens at YC? Apply YC Interview Guide FAQ People YC Blog Companies Startup Directory Founder Directory Launch YC Startup Jobs All Jobs ◦ Engineering ◦ Operations ◦ Marketing ◦ Sales Startup Job Guide YC Startup Jobs Blog Find a Co-Founder Library SAFE Resources Startup School Newsletter Requests for Startups For Investors Hacker News Bookface Open main menu Apply for F2025 batch.
New! Platform Platform AI Runtime Protection Runtime Security for your AI applications and agents Aim for End Users Allow your employees to securely adopt AI AI Agent Security Enterprise-grade security for your AI agents AI Security Posture Management Secure your AI dev lifecycle, from training to inference Latest from our blog The Agentic AI Revolution is Here MCP Explained: The Security Essentials of Proactive AI Go to Blog Use Cases Use Cases Discover Shadow AI AI Adoption Acceleration End-to
How I program with Agents 2025-06-08 This is the second part of my ongoing self-education in how to adapt my programming experience to a world with computers that talk. The first part, How I program with LLMs , covered ways LLMs can be adapted into our existing tools (basically, autocomplete) and how careful prompting can replace traditional web search.
We are past the event horizon; the takeoff has started. Humanity is close to building digital superintelligence, and at least so far it’s much less weird than it seems like it should be. Robots.
Home Platform Platform Features Packages Customers Case Studies REsearch REsearch Advisories All REsearch PKfail Lighttpd XZ Backdoor LogoFAIL Learn Learn All Resources Product Blog Videos Free Detection Tools Reports Company Company About Binarly News Press Free scan Book a demo Free scan Book a demo × June 10, 2025 Another Crack in the Chain of Trust: Uncovering (Yet Another) Secure Boot Bypass By Binarly REsearch In this blog post, the Binarly Research team documents a Secure Boot bypas
Given a set $S$ of $n$ keys, a perfect hash function for $S$ maps the keys in $S$ to the first $m geq n$ integers without collisions. It may return an arbitrary result for any key not in $S$ and is called minimal if $m = n$. The most important parameters are its space consumption, construction time, and query time. Years of research now enable modern perfect hash functions to be extremely fast to query, very space-efficient, and scale to billions of keys.
The original promise of personal computing was a new kind of clay. Instead, we got appliances: built far away, sealed, unchangeable. In this essay, we envision malleable software: tools that users can reshape with minimal friction to suit their unique needs.
Matthew Garrett has a nice post about Twitter (uh, X)'s new end-to-end encryption messaging protocol, which is now called XChat. The TL;DR of Matthew's post is that from a cryptographic perspective, XChat isn't great. The details are all contained within Matthew's post, but here's a quick TL;DR: There's no forward secrecy.
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Ken Shirriffs blog Computer history, restoring vintage computers, IC reverse engineering, and whatever The Xerox Alto, Smalltalk, and rewriting a running GUI Be sure to read the comment from Alan Kay at the bottom of the article! We succeeded in running the Smalltalk-76 language on our vintage Xerox Alto; this blog post gives a quick overview of the Smalltalk environment.
Hacker News new | past | comments | ask | show | jobs | submit login Launch HN: Chonkie (YC X25) – Open-Source Library for Advanced Chunking 87 points by snyy 6 hours ago | hide | past | favorite | 30 comments Hey HN! We're Shreyash and Bhavnick. We're building Chonkie ( https://chonkie.ai ), an open-source library for chunking and embedding data.
AI Coding Agents Tracking the performance of the various coding agents. Agents Click on each agent to learn more about them. Click on each metric to explore the queries live. Coding Agent Total PRs Merged PRs Success Rate GitHub Copilot {{COPILOT_TOTAL}} {{COPILOT_MERGED}} {{COPILOT_RATE}} OpenAI Codex {{CODEX_TOTAL}} {{CODEX_MERGED}} {{CODEX_RATE}} Cursor Agents {{CURSOR_TOTAL}} {{CURSOR_MERGED}} {{CURSOR_RATE}} Devin {{DEVIN_TOTAL}} {{DEVIN_MERGED}} {{DEVIN_RATE}} Codegen {{CODEGEN_TOTAL}} {{C
[Replanting forests can help cool the planet even more than some scientists once believed, especially in the tropics. But even if every tree lost since the mid-19th century is replanted, the total effect won’t cancel out human-generated warming.
The promise of AI-powered calorie counting is efficiency—snap and go, no manual entry required. But my experience revealed a different reality. I spent considerable time correcting ingredient identifications, adjusting portion sizes, and second-guessing the app's estimates.
Jordan Webb Home Portfolio Blog GitHub Search Why Android can't use CDC Ethernet A detective story with a silly ending If you just want the answer to the question posed in the title, click the TLDR below and then move on with your day. Otherwise, buckle in, weâre going debugging; this post is mostly about my thought process and techniques I used to arrive at the answer rather than the answer itself.
The acting FAA administrator laid out a plan to the House Appropriations Committee to launch a comprehensive upgrade of the nation's air traffic control.
I decided today to take a look at CloudFlare's new OAuth provider library, which they apparently coded almost entirely with Anthropic's Claude LLM: This library (including the schema documentation) was largely written with the help of Claude, the AI model by Anthropic.
I decided to write down some thoughts on agentic coding and why it’s a very hyped wrong turn. Let me start with some background on my LLM experience. I adopted LLMs into my work in Aug 2020. I was sold when I saw that GPT-3 could generate usable SQL statements. Something that used to take 4-8 hours of RTFMing, now took 15min. I have since worked on chatcraft.org, various RAG frameworks, etc.
Home  | About Folklore | Quotes The Original Macintosh:    1 of 125 Joining Apple Computer Author: Bill Atkinson Date: April 1979 Characters: Bill Atkinson, Jef Raskin, Steve Jobs, Susan Kare Topics: Inspiration, MacPaint, QuickDraw, HyperCard Summary: Reflections on the 40th anniversary of my joining Apple 40 years ago today, I joined Apple Computer on April 27, 1978.
The attention mechanism in Transformers is an important primitive for accurate and scalable sequence modeling. Its quadratic-compute and linear-memory complexity however remain significant bottlenecks. Linear attention and state-space models enable linear-time, constant-memory sequence modeling and can moreover be trained efficiently through matmul-rich parallelization across sequence length.
As part of multi-pronged effort towards deregulation, the Federal Trade Commission has asked the public to identify any and all “anti-competitive” regulations. Working with our friends at Authors Alliance, EFF answered, calling attention to a set of anti-competitive regulations that many don’t.
--> Scaling Intelligence Lab Home About --> · Publications · Blogs · Code @mitvis on GitHub --> @mitvis on Twitter --> Tokasaurus: An LLM Inference Engine for High-Throughput Workloads Jordan Juravsky Stanford Ayush Chakravarthy Stanford Ryan Ehrlich Stanford Sabri Eyuboglu Stanford Bradley Brown Stanford Joseph Shetaye Stanford Christopher Ré Stanford Azalia Mirhoseini Stanford TL;DR We’re releasing Tokasaurus, a new LLM inference engine optimized for throughput-intensive w
Caloric restriction and methionine restriction-driven enhanced lifespan and healthspan induces ‘browning’ of white adipose tissue, a metabolic response that increases heat production to defend core body temperature. However, how specific dietary amino acids control adipose thermogenesis is unknown. Here, we identified that weight loss induced by caloric restriction in humans reduces thiol-containing sulfur amino acid cysteine in white adipose tissue.
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