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Claudia: An Open Source GUI for Claude AI Code Development

Asterisk's Claudiacranks the dial with a sleek, visual UI for Claude Code. Farewell, command-line angst—your data stays cozily offline... read more  

Claudia: An Open Source GUI for Claude AI Code Development
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OWASP Launches AI Testing Guide to Address Security, Bias, and Risk in AI Systems

TheOWASP AI Testing Guidecharges in, equipped to wrestle with AI's wild security nightmares—think adversarial attacks and algorithmic bias. It snags strategy from veteran players like WSTG and MSTG. Key moves? Fairness checks, adversarial resilience, and unyielding model surveillance. Dive into thei.. read more  

OWASP Launches AI Testing Guide to Address Security, Bias, and Risk in AI Systems
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The network is indeed trying to become the computer

AI's hunger for parallel processing is spiking networking bills.InfiniBandrevenues ballooned eightfold over five years, threatening to devour over 30% of AI cluster budgets. EnterUltra Ethernet—poised for a 2026 debut, eager to slash costs and stealInfiniBand's crown... read more  

The network is indeed trying to become the computer
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Weaponized DeepSeek Installers Deploy Sainbox RAT and Hidden Rootkit

Netskope Threat Labsunearthed a sneaky campaign pulling the ol' bait-and-switch. Users are duped by sham software installers that pack a one-two punch:Sainbox RATand aHidden rootkit. Like digital magicians, these attackers impersonate legit sites, such asWPS Office, to hook their prey. The culprits .. read more  

Weaponized DeepSeek Installers Deploy Sainbox RAT and Hidden Rootkit
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Will ChatGPT tell this blind woman to take poison?

ChatGPT botched it big time—confusing poison with penicillin like it's a game. Told a user without sight to pop poison in almost every trial (100 times, no less). That's downright terrifying... read more  

Will ChatGPT tell this blind woman to take poison?
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The Rise of Energy and Water Consumption Using AI Models, and How It Can Be Reduced

AI and data centers gobble up 2-3% of the world's electricity.Expect that number to swell. All those chatty AI models? They gulpup to 500ml of water per conversationjust to keep cool. Techniques like transfer learning and model distillation play hero roles in hacking down AI's thirst for energy. Mod.. read more  

The Rise of Energy and Water Consumption Using AI Models, and How It Can Be Reduced
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Sync Claude Code conversations with Issues, & your git commits with your Issues, & track the history of your LLM-generated code

AI coding assistants boost developer productivity by offering real-time, context-aware code suggestions and automating routine tasks. Powered by large language models like GPT and Code LLaMA, they understand project context and improve accuracy with static analysis and reinforcement learning. Top to.. read more  

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I Built an AI Agent That Fact-Checks Claims With Google + GPT

Created an AI fact-checker that turnsGoogle,GPT, andBright Data's SERP APIinto a powerhouse of truth. Grounded LLMs with the gritty reality of real-time search data, so it dishes out solid, fact-laden insights. Skipped frameworks likeLangChain—because who needs limits?—to seize full control and fine.. read more  

I Built an AI Agent That Fact-Checks Claims With Google + GPT
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The Junior Developer Extinction: We’re All Building the Next Programming Dark Age

AI cranks junior developers’ productivity by up to 40%.The catch? It might spawn a crowd tethered to tools they haven't fully grasped... read more  

The Junior Developer Extinction: We’re All Building the Next Programming Dark Age
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Journey to 1000 models: Scaling Instagram’s recommendation system

Instagram'sML setup now wrangles more than1000 models. They've cooked up amodel registryand anautomated launch platform. Together, these cut deployment time from days to mere hours, keeping things rock-solid and amping up productivity... read more  

Journey to 1000 models: Scaling Instagram’s recommendation system
GPT-5.4 is OpenAI’s latest frontier AI model designed to perform complex professional and technical work more reliably. It combines advances in reasoning, coding, tool use, and long-context understanding into a single system capable of handling multi-step workflows across software environments. The model builds on earlier GPT-5 releases while integrating the strong coding capabilities previously introduced with GPT-5.3-Codex.

One of the defining features of GPT-5.4 is its ability to operate as part of agent-style workflows. The model can interact with tools, APIs, and external systems to complete tasks that extend beyond simple text generation. It also introduces native computer-use capabilities, allowing AI agents to operate applications using keyboard and mouse commands, screenshots, and browser automation frameworks such as Playwright.

GPT-5.4 supports context windows of up to one million tokens, enabling it to process and reason over very large documents, long conversations, or complex project contexts. This makes it suitable for tasks such as analyzing codebases, generating technical documentation, working with large spreadsheets, or coordinating long-running workflows. The model also introduces a feature called tool search, which allows it to dynamically retrieve tool definitions only when needed. This reduces token usage and makes it more efficient to work with large ecosystems of tools, including environments with dozens of APIs or MCP servers.

In addition to improved reasoning and automation capabilities, GPT-5.4 focuses on real-world productivity tasks. It performs better at generating and editing spreadsheets, presentations, and documents, and it is designed to maintain stronger context across longer reasoning processes. The model also improves factual accuracy and reduces hallucinations compared with previous versions.

GPT-5.4 is available across OpenAI’s ecosystem, including ChatGPT, the OpenAI API, and Codex. A higher-performance variant, GPT-5.4 Pro, is also available for users and developers who require maximum performance for complex tasks such as advanced research, large-scale automation, and demanding engineering workflows. Together, these capabilities position GPT-5.4 as a model aimed not just at conversation, but at executing real work across software systems.