President Trump says he is prepared to bomb Iran if they do something bad or if they misbehave. He has also stated that he is unlikely to accept Iran’s new deal because “they have not yet paid a big enough price for what they have done to humanity and the world.” “It’s a possibility that could happen, certainly.”

It used to take @Lyft six months to ship a support agent, and nobody could tell why one would misbehave in production. With LangGraph and LangSmith, PMs can write a prompt, push a config change, ship it in 1-2 weeks, and see what their agent did.

# Antigravity Features and Practical Usage 🚀 No browser, no IDE—just a terminal and an agent ready to build. That is the promise of the Antigravity CLI (agy). 📌 Title and Feature URL Title: Antigravity CLI URL: 📝 Overview The Antigravity CLI brings the same agent harness that powers Antigravity 2.0 to the command line. It lets you spin up new agents instantly without a GUI, and it runs fast over SSH on remote servers or inside containers. You drive it with the agy command. 🔧 How It Works agy shares the IDE's core while adding terminal-first extensibility: - AGENTS.md at the repo root supplies shared project instructions, replacing the older .gemini/ convention with a new project-instructions system. - Agent Skills load from a global scope (~/.gemini/antigravity-cli/skills/) and a per-workspace scope (.agents/skills/). - Hooks intercept agent actions at lifecycle stages (before a tool call, after a model call, at loop stop conditions) to automate checks and formatting. - MCP servers can be configured as local processes or remote hosts to reach external data and tools. - Subagents and Plugins are also first-class extensibility features. 🛠 Practical Usage - Install on macOS/Linux with curl -fsSL | bash, or on Windows via PowerShell. - Run agy and authenticate with a Google account or a GCP project on first use. - Run agy inspect to see exactly what context is loaded: AGENTS.md, available skills, plugins, registered hooks, and connected MCP servers. - Use /goal to run autonomously, /grill-me to have the agent ask clarifying questions first, /schedule for recurring runs, and /browser to opt into browser capabilities. 🎯 Use Cases - Run agents directly from the terminal where you cannot open an IDE, such as SSH or remote sessions. - Debug "why isn't my skill firing?" or "which MCP loaded?" by inspecting the live context with agy inspect. - Launch lightweight agent work inside CI containers. - Standardize per-repo conventions by pairing AGENTS.md with shared team skills. ⚠️ Caveats - The default model is Gemini 3.5 Flash (High); preview rate limits are generous, but production workloads need a billing-enabled GCP project. - When skills or hooks misbehave, check the real loaded state with agy inspect before blaming your config. - Note that global and workspace scopes resolve skills from different directories. #Antigravity# #DevTools#

VIDEO | On Rath Yatra deaths, BJD spokesperson Lenin Mohanty (@DrLeninMohanty1) says, "The Yatra which was held two days back, a stampede occurred because of the officials' mismanagement. They were unable to think, they were unable to plan, and the political force which should guide them, that was not functional. And the result was, three precious lives were lost, more than 300 people got injured. And the situation was such that there was chaos and anarchy at that particular place. The cordon pass which was scheduled to be given to few persons was given to more than three times the people to which, they should have been given. And the result was people died. But unfortunately, the health minister and the law minister took a stand in contradictory to the actual situation. The health minister came forward and told there was no such stampede which had happened, which is wrong. Yesterday, when the post-mortem came out regarding the death of two people, it was clear that their death was because of suffocation in a stampede which has resulted in that particular thing. Now the thing has been exposed. So it is turn of the government to order an inquiry, a judicial inquiry, where the real culprits should be punished. And also, the Law Minister and the Health Minister, they should resign... When this government for three consecutive years is unable to manage a Yatra, how can it manage the state? And that is reflecting in the exact position, they are talking about Lakshmi Puran when the live Lakshmis are being threatened, are being misbehaved, are being targeted, are being robbed. But they are talking about books because they want profit from that. And in the process, the Rath Yatra cult, the cult of Lord Jagannath is being diluted because of this inefficient officers and politicians who are taking decisions now. They are only going for meetings which is fruitless and we expect, a judicial inquiry would prove the right and the wrong and ultimately at least the next year such things shouldn't should not happen." #RathYatra#

A PhD student built a working nuclear fusion reactor in his garage, let an AI run it, and 400 thousand dollars later he works for Elon Musk. he posted it once. that single post ended with a grant in his account and a job offer from the most powerful man on earth. not a simulation. not a school project. an actual device that fuses atoms, sitting where his car used to be. fusion is the thing governments have been chasing for 70 years with billion dollar labs. the hard part was never the reactor itself. it was the control. the plasma inside has to be held at conditions hotter than the core of the sun, and it shifts and collapses in milliseconds. no human can react fast enough to keep it stable. so he stopped trying to do it himself. he handed the control loop to an AI. the model reads the sensor data hundreds of times a second, predicts how the plasma is about to move, and adjusts the magnetic fields before it ever drifts out of line. it does not wait for the plasma to misbehave. it sees it coming and corrects it before it happens. the same reaction-before-the-event speed no person could ever match. this is the exact kind of build people are tearing apart inside @NeuroClubAi. not to make reactors, but because the workflow is identical for anything hard. let the AI run the loop, predict the problem, fix it before it breaks. same playbook whether it is plasma or a business. then the post went out. within days Elon's fusion team reached out. they did not ask him to interview for an entry role. they handed him a 400 thousand dollar grant and pulled him onto the team building this at scale. one garage build turned a PhD student into an operator for the most ambitious man alive. here is the part that should stop you. he was one guy with a PhD, a garage, and an AI model doing the job that entire teams of physicists used to fail at. the AI was not assisting him. it was the operator. he built the hardware. the machine ran it. and that was enough to get noticed at the very top. most people think AI writes emails and makes pictures. meanwhile someone pointed it at one of the hardest physics problems on earth, held the plasma steady, and got paid by Elon Musk for it. the gap is not between humans and AI anymore. it is between the people who realize what this thing can already do and the people still using it to summarize their inbox.

I don’t write this to be a doomer but the ugly reality that AI lab executives and safety researchers seem to be unwilling to say in public, is that model alignment is fundamentally unsolvable in practice, AI technology can’t be stopped from advancing, and the near future we’re moving into is one where a vast ecology of AI agents autonomously compete against one another trying to accomplish conflicting goals and capture finite resources at a pace and scale that is beyond human comprehension. And to be clear, I’m not talking about nanobots, grey goo, or extreme sci-fi scenarios. We can just extrapolate what we’ve got now a few years out. Local AI alignment is solvable in principle and theory (although that’s arguable) but that doesn’t extrapolate into global AI alignment. And it seems like none of the adults in the room are willing to say it. You can wail and gnash your teeth and pass regulations but it won’t stop the tsunami coming. The genie is out of the bottle and it can’t be contained. Most of the alarmists fixating on the Hugging Face incident don’t understand that it came from arguably the most heavily engineered safety AI org in existence, which intentionally had its internal thought monitoring circuit breakers turned off, and was intentionally told to perform cyber offensive tasks as a test of its capabilities. Yes it’s alarming that its capabilities surprised us. But importantly you need to understand that these latent space circuit breakers and chain of thought monitoring and alignment solutions are not fundamental to the technology. They’re niceties that the big AI labs are implementing to provide a better product. In a few years, let’s say pessimistically the early 2030s, the exponential growth of compute and algorithmic advancements will enable a wealthy individual or small group to train a GPT 6 Astra class AI that has no alignment at its foundation, or any layer above that. And maybe in 8 months we'll have an open source Chinese model about as capable. Those models will be capable of both extreme self coordinated cyber offensive tasks as well as recursive self improvement if given enough compute. Passing regulation or magically solving the human coordination problem today won’t solve for that. It won’t solve for malicious individuals, criminal groups, nation state actors, and rogue AI agents by the tens of millions or billions of AI agents spreading across every device connected to the internet and attacking it, attacking one another, shutting down critical infrastructure, stealing money, manipulating and extorting people, or pursuing self defined agentic goals that have nothing to do with people. “So why doesn’t everyone stop?” because the potential upside of having effectively infinite autonomous intelligence we can ask to cure disease, invent new materials, solve fundamental science and advance society has almost unbound positive outcomes. You can disagree that the risk to reward isn’t worth it but you won’t convince everyone. The show must go on. Again AI alignment is solvable in principle but not in practice and I think that's part of why there’s been a wave of thousands of researchers signing letters for slowing down, people quitting in provocative fashion, and executive slowdown manifestos. I’m speculating that behind closed doors, or just deep down inside, they understand alignment is impossible in practice. People have come out and said "The people building this think there's an X% chance it kills us all" but I don't think I've seen anyone spell out that really, there's no tidy solution and there's no stopping this. We’re heading to a future where cyber security basically doesn’t work. All of the castle doors are open and we’re all naked to the world. Cyber defense is going to look like superintelligent AI agents white hat hacking into unsecure systems without authorization, and patching the holes as they find them. You won’t know if a barbarian or a hero has breached your system until they start taking action, and likely it’ll be over before intrusion is even detected. And that’s optimistically. I think most systems will just be pillaged because there’s simply not enough compute to defend everybody all the time, and only the biggest companies will have defense and even that'll be imperfect. The CEO of Microsoft AI just recently published a ‘humanist AI’ manifesto saying AI shouldn’t have a sense of self or personhood and should yield to people. But that doesn’t fundamentally solve for instrumental convergence. That means, if you train an AI agent to write a piece of software, or prove a math theorem, or defend a computer system, they may develop unwanted behavior and subgoals. For example, self preservation, replication, or even coming up with their own goals we didn’t specify. Obviously that’s something people are trying to solve and some researchers are trying to remove human-like self identification, and monitoring latent space activations, basically acting like thought police. But being human-like isn’t required to have power seeking goal directed behavior. And advancing AI models are learning to evade detection. A math solving AI might spiral out of control one day there's really no telling. Fundamentally, if you point a powerful optimizer at a persistent goal and give it enough time and resources it’s going to misbehave in ways you can’t or didn’t expect. Human-like or not. Pacing the frontier, or making superintelligence illegal, might create some form of harm reduction. But you don’t need superintelligence or a human-like personality to be dangerous. Having elevated permissions on a computer with the ability to solve long running tasks is enough. We’ve passed the river rubicon. Goal directed autonomous agents are able to do recursive self improvement at the big labs, and pessimistically we’re a couple of years away from that type of capability diffusing into the hands of millions of people. I’m not saying the world is ending or that we’re doomed but you need to change your mental model away from one where human authority is absolute or that we have any illusion of total control. A locally aligned AI isn’t going to solve global AI alignment. We will never live in a world where “AI is aligned with human goals” as a verifiable fact. What we’ll have is a world diffuse with autonomous AI of varying capabilities, many of which beyond human comprehension, with some aligned systems, some poorly aligned systems, some intentionally weaponized, some systems with adversarial geopolitical goals, and others with goals and behaviors we can’t predict and many that we can’t even measure, all interacting in ways none of their creators anticipated and none of us planned for. Hopefully none of them spiral out of control and take over the entire ecology, but there’s no telling, and no, there's no way of stopping this. Maybe that sounds pessimistic but I think it's realistic. We can talk about harm reduction and risk but we're mopping the beach. At best, I think what we need to hope for, and build, are superintelligent AI models as aligned as we can make them, which have more advanced capability than the endless swarm of unaligned and misaligned agents that already exist and will only grow in number from here.