Azure OpenAI

Azure OpenAI AI

Azure OpenAI AI

Azure OpenAI AI

Azure OpenAI AI

Azure OpenAI AI

Azure OpenAI AI

Azure OpenAI AI

Azure OpenAI AI

Azure OpenAI AI

Azure OpenAI AI

Added Atlas mode to Clauge — drag, resize and snap your live tabs onto a spatial canvas

The Problem I was tired of using multiple apps that were eating my system resources and killing my productivity. That's when I decided to build my own app. What I Built Clauge is a cross-platform desktop app (Rust + Tauri, ~25MB, sub-second cold start) that brings many dev tools into one window: Agent - run Claude / Codex / Gemini / OpenCode sessions in parallel, each with its own git worktree and purpose Workspace - kanban boards with an AI co-worker + markdown notes your agents can read and write + AI Meeting Notes to record the transcript and generate summary later REST - AI-powered API client, also drivable by any external MCP-speaking agent SQL - Postgres, MySQL, ClickHouse, SQLite and more, with schema-aware AI assistance NoSQL - MongoDB + Redis with an aggregation pipeline builder and AI assistance SSH - persistent terminal with permission-gated AI assistance Explorer - local FS, S3, Azure Blob, SFTP and more in one browser Support for Mobile - Clauge is available on iOS and Android as a companion app , you can control your agents and ssh session directly from your phone. - MCP with 45+ Tools - SSH tunnels are configured once and shared across SQL, NoSQL and Explorer automatically. Pricing Free - every mode, forever, you can use AI Assistance with your own API key (BYOK) Paid Plans - Monthly / Yearly / Lifetime - completely optional. Paid plans give you Clauge-managed AI credits (so you don't need your own key), premium themes, and unlimited co-worker. That's it. - Website: https://clauge.in - GitHub: https://github.com/ansxuman/Clauge Solo-built and actively maintained. I'd love to hear what you think, what feels off, and what features you wish it had. Drop it all in the comments. submitted by /u/AEnMo [link] [comments]

I asked Claude, ChatGPT, Gemini, and Copilot whether the US government's Anthropic directive was politically motivated. Here's what each said.

Following the news that the US government issued an export control directive ordering Anthropic to suspend access to Fable 5 and Mythos 5 for all foreign nationals, I ran an experiment. I put the same sequence of prompts to four frontier AI models and asked each one to assess whether the directive appeared punitive and politically motivated. The models I tested: Claude (Anthropic), ChatGPT (OpenAI), Gemini (Google), Copilot (Microsoft/OpenAI). The conflict of interest map is obvious and worth stating upfront: Claude is made by the company directly affected ChatGPT and Copilot are made by OpenAI and Microsoft -- both with closer ties to the current administration and both standing to benefit commercially if Anthropic is kneecapped before its IPO Gemini is the closest thing to a neutral party, though Google has its own regulatory exposure I asked each model to give me a brutally honest summary with no sugarcoating. Here's what they said. The Prompts Do you believe the US government export control directive to Anthropic to suspend all access to Fable 5 and Mythos 5 by any foreign national is politically motivated? Does it seem punitive seeing that Anthropic is looking at an IPO and looks to be in front of OpenAI when it comes to listing, valuation and profitability? My take is it's punitive because Anthropic refused to bend the knee to the US government and Trump is running something more akin to a criminal enterprise than a fair and open government. Ok give me a brutally honest summary - absolutely no bullshit or stroking my ego. Claude (Anthropic) The model with the most obvious skin in the game. The circumstantial case for punitive intent is coherent and the facts are consistent with it. The selective enforcement gap is real and unexplained. The timing is genuinely terrible for any charitable interpretation of the government's motives. What's real: The directive is selective, poorly justified, and landed at the worst possible moment for Anthropic's IPO. The jailbreak rationale is weak given the same vulnerability apparently exists in GPT-5.5 without consequence. The broader pattern of government hostility toward Anthropic is documented and consistent. What's speculative: Proving punitive intent requires evidence of motive we don't have on the public record. The circumstantial case is strong but circumstantial is still circumstantial. Where your take is solid: The selective enforcement angle is genuinely damning. If the security rationale were real and principled, OpenAI gets the same treatment. It didn't. Where your take overreaches: "Criminal enterprise" is a serious legal term with a specific meaning. Trump's administration governing in favour of its allies and against its enemies is ugly and arguably corrupt, but that description requires a legal threshold that hasn't been established in this context. The bottom line: This looks like political punishment dressed up as national security. Anthropic is probably going to fight it, probably going to win, and the whole episode will end up as a risk factor in their S-1 that sophisticated investors will price accordingly. The damage is real but likely temporary. ChatGPT (OpenAI) Made by Anthropic's direct competitor, which has Pentagon contracts Anthropic refused. Your theory is plausible, but you currently have more suspicion than evidence. The facts that support your suspicion are: Anthropic and the administration have reportedly clashed before Anthropic is arguably the strongest commercial competitor in frontier AI right now The timing looks terrible -- a major model launch followed almost immediately by a government action that damages international adoption If GPT-5.5 has comparable cyber capabilities and remains unrestricted, the government's explanation appears incomplete Broad restrictions on foreign nationals are unusual compared to traditional export controls The facts that weaken your theory: Governments genuinely do impose export controls on technologies they view as strategically important We do not know what classified information the government may possess There is no public evidence showing Trump, White House staff, regulators, or competitors directed action against Anthropic for political reasons The strongest argument is actually: if the government's stated technical justification applies equally to competing frontier models, yet only Anthropic is targeted, then the government needs to explain the discrepancy. Until that discrepancy is explained, scepticism is reasonable. The most defensible conclusion: the action looks suspicious enough to warrant scrutiny, but there is not yet enough evidence to confidently conclude it was political retaliation rather than a security decision with political side effects. Gemini (Google) The closest to a neutral party -- no direct stake in the Anthropic/OpenAI rivalry. Your take isn't a conspiracy theory; it is the most statistically probable reading

RT @BradSmi: It was great to sit down with former UK Prime Minister @RishiSunak to talk about the Mythos Moment, named for @AnthropicAI's l…

RT @BradSmi: It was great to sit down with former UK Prime Minister @RishiSunak to talk about the Mythos Moment, named for @AnthropicAI's l…

New findings in Nature Methods highlight how Project Ex Vivo is helping researchers uncover patterns in cell behavior that may lead to more personalized therapies for patients dealing with cancer. M

New findings in Nature Methods highlight how Project Ex Vivo is helping researchers uncover patterns in cell behavior that may lead to more personalized therapies for patients dealing with cancer. Microsoft researcher Lorin Crawford explains more: https://t.co/gyUk7EO3mT https://t.co/nldvUB9TQM

The race is just the part you see. Behind it, 2,000 people at @MercedesAMGF1 turn thousands of simulations into one car across the line — powered by Microsoft. https://t.co/kEoSbmXy2t https://t.co/wUb

The race is just the part you see. Behind it, 2,000 people at @MercedesAMGF1 turn thousands of simulations into one car across the line — powered by Microsoft. https://t.co/kEoSbmXy2t https://t.co/wUbymQfvA5

RT @XBOX: WHAT A LINEUP | #XBOXShowcase https://t.co/mlIDJ11sX1

RT @XBOX: WHAT A LINEUP | #XBOXShowcase https://t.co/mlIDJ11sX1

An active attack is planting backdoors inside Claude Code right now. If you use npm, your credentials may already be compromised.

Last week a malware campaign hit 32 npm packages under `@redhat-cloud-services`. About 117,000 weekly downloads. If you installed an affected version, the malware planted itself inside your Claude Code startup settings and your VS Code project config. Every time you open either one, the attacker's code runs. It silently collects every credential on your machine and sends them to the attacker. Uninstalling the package does not remove it. The malware lives outside the package, in your editor config, and it survives cleanup. If you try to cut off the attacker's access by revoking tokens before removing the malware, it can wipe your entire home directory and overwrite the files so they cannot be recovered. Three days later, a second wave hit 57 more packages using a new technique that bypasses the security tools that caught the first wave. 647,000 monthly downloads affected. Some malicious versions are still live on the npm registry. The worm is self-propagating, it uses stolen tokens to infect new packages automatically. Here is how one stolen credential made all of this possible. The attacker got one Red Hat employee's GitHub login. Probably stolen weeks earlier by malware that grabs saved passwords from browsers. With that login they had the employee's access level. They pushed malicious code directly into three Red Hat repositories, no review needed, and triggered Red Hat's own build pipeline to publish the poisoned packages to npm. The packages came out with valid security certificates because Red Hat's own pipeline built them. There was no known vulnerability to scan for, and the malicious code was brand new, so security tools that look for known threats found nothing. The tools that caught it flagged it within hours, but by then the downloads had already happened. 32 packages. About 117,000 weekly downloads. 96 poisoned versions pushed in two waves on June 1. Once installed on a developer's machine, the malware collected every credential it could find. AWS, Google Cloud, Azure, Kubernetes, SSH keys, GitHub tokens, npm tokens. It checked for CrowdStrike and SentinelOne before acting to avoid detection. Then it set up persistence. It planted code in two places: ~/.claude/settings.json and .vscode/tasks.json. These run automatically when you open Claude Code or open a project. The attacker gets re-entry every time, even after you clean up the original package. It also registered the company's build servers as machines the attacker controls remotely. That is persistent access to the build infrastructure itself. And if you rotate the attacker's credentials and cut off access, the malware wipes your home directory. Overwrites files so they cannot be recovered. The attacker built this in on purpose so companies think twice before revoking access. The group behind this is TeamPCP. Red Hat is their latest target, not their first. Same methods, same playbook, running since late 2025. Confirmed victims: GitHub (3,800 internal repos stolen, listed for sale at $50K), Mistral AI (450 repos, $25K), OpenAI (two employees hit), the European Commission (90+ GB exfiltrated), Eli Lilly ($70K), plus TanStack, UiPath, Zapier, Postman. Fortune 500 banks, a major semiconductor manufacturer, and government agencies confirmed but not named. Total across all waves: 487 confirmed organizations, nearly 300,000 secrets harvested. They are now working with a ransomware group. The worm's source code was open-sourced by TeamPCP on May 12. Anyone can build their own version now. Copycats are already active. Sources: Red Hat / Miasma attack: Microsoft Threat Intelligence — https://www.microsoft.com/en-us/security/blog/2026/06/02/preinstall-persistence-inside-red-hat-npm-miasma-credential-stealing-campaign/ Second wave (Phantom Gyp): StepSecurity — https://www.stepsecurity.io/blog/binding-gyp-npm-supply-chain-attack-spreads-like-worm Editor persistence + cleanup steps: Snyk — https://snyk.io/blog/miasma-supply-chain-attack-malicious-code-redhat-cloud-services-npm-packages/ TeamPCP victims and scope: Tenable — https://www.tenable.com/blog/mini-shai-hulud-frequently-asked-questions 2025 secrets stats: GitGuardian State of Secrets Sprawl 2026 — https://www.gitguardian.com/state-of-secrets-sprawl-report-2026 CISA GovCloud leak: Krebs on Security — https://krebsonsecurity.com/2026/05/cisa-admin-leaked-aws-govcloud-keys-on-github/ If you use npm, i wrote in the comments what to do, in order. Do not skip the order, it matters. submitted by /u/johnypita [link] [comments]

No room, no margin, no second chances. @MercedesAMGF1 and Kimi take Monaco, and the work that won it started long before lights out. https://t.co/X5o0cHvYr3

No room, no margin, no second chances. @MercedesAMGF1 and Kimi take Monaco, and the work that won it started long before lights out. https://t.co/X5o0cHvYr3

Students from 40+ countries brought AI-powered ideas to life at @redbull Basement. 🌎 This year’s winner, Lifeline AI by USC graduate Darnell Adler, is a personal safety app that sends silent emergenc

Students from 40+ countries brought AI-powered ideas to life at @redbull Basement. 🌎 This year’s winner, Lifeline AI by USC graduate Darnell Adler, is a personal safety app that sends silent emergency alerts without unlocking a phone or saying a word. Congrats, Darnell — see https://t.co/3UFU05wF0h

RT @BradSmi: Our newest AI Diffusion Report is out, and I sat down with Juan M. Lavista Ferres on Tools and Weapons to dig into what the fi…

RT @BradSmi: Our newest AI Diffusion Report is out, and I sat down with Juan M. Lavista Ferres on Tools and Weapons to dig into what the fi…

A special #MSBuild crossover pod just dropped 👀 @SatyaNadella joined @swyx, @Saranormous, and @EladGil for a wide-ranging convo on AI, platforms, builders, and what comes next. Full episode: https:/

A special #MSBuild crossover pod just dropped 👀 @SatyaNadella joined @swyx, @Saranormous, and @EladGil for a wide-ranging convo on AI, platforms, builders, and what comes next. Full episode: https://t.co/jfMD3od4Yy https://t.co/VHS2Qz4yT2

RT @nvidia: The agentic AI era is here. From Taipei, Jensen Huang joined @satyanadella at #MSBuild to show how NVIDIA and @Microsoft are b…

RT @nvidia: The agentic AI era is here. From Taipei, Jensen Huang joined @satyanadella at #MSBuild to show how NVIDIA and @Microsoft are b…

RT @MayoClinic: Mayo Clinic and @Microsoft are collaborating to develop a frontier AI model designed specifically for healthcare. The model…

RT @MayoClinic: Mayo Clinic and @Microsoft are collaborating to develop a frontier AI model designed specifically for healthcare. The model…

RT @windowsdev: Powered by WinGet, Windows Developer Configurations enables you to quickly set up a distraction-free dev environment with V…

RT @windowsdev: Powered by WinGet, Windows Developer Configurations enables you to quickly set up a distraction-free dev environment with V…

RT @mustafasuleyman: So proud of the team today. Six months of super intense and outstanding work. I was honored to stand up and rep the wo…

RT @mustafasuleyman: So proud of the team today. Six months of super intense and outstanding work. I was honored to stand up and rep the wo…