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共 40350 篇GM Wants Your Electric Car to Power Your House—and Your Neighborhood
The automaker today is turning on vehicle-to-grid charging for its GM Energy customers. Will people actually use it?
GM joins race to build batteries for AI data centers and the grid
GM is developing an entirely new sodium-ion battery chemistry for use in everything from data centers to its own factories.
GM's EVs will soon support more kinds of public chargers
EVs from GM will soon be able to top up at more kinds of public chargers.
GM thinks EVs can help offset AI’s energy suck with vehicle-to-grid tech
At an event in San Francisco today, General Motors made a series of announcements around EV batteries, energy storage, and grid resiliency in the face of growing electricity demand from AI data centers. The automaker announced that it would be activating new vehicle-to-grid capabilities for its current EV and home energy customers. It's releasing a […]
Locked in heated rivalry with researcher, Microsoft fixes 0-day they disclosed
A separate zero-day also disclosed by Nightmare Eclipse appears to be patched as well.
Don't be someone's dumb pipe
The enterprise AI governance race isn't about compliance. I went looking to see why these companies are actually talking this up. For the press, AI governance is a boring compliance story — audits, kill switches, making sure agents follow the rules. But if you look at the actual moves ServiceNow, Microsoft and Salesforce are making, something more interesting is happening. These companies are all facing the same nightmare. They risk becoming dumb pipes, the middleman plumbing data around while the real power stays with the LLM providers. They don't own the control plane, OpenAI and Google own the intelligence layer, AWS owns the infrastructure, and the enterprise software vendors become irrelevant billing systems in the middle. Staking a claim on the governance layer is their moat. That's not compliance. That's survival. Here's the pattern I noticed in the primary sources: The kill switch buy: ServiceNow acquired Traceloop for $80M in March 2026 — runtime observability for AI agents. The stock was at $120 on its way to $83. The market wasn't rewarding the thesis. Management bought anyway. The control plane play: ServiceNow connected AI Control Tower to Amazon Bedrock AgentCore, one governance layer over every AI agent an enterprise builds on AWS regardless of which model runs underneath. Nine partners announced integrations in ten days. Cognizant this week layered their Guardian agents on top. Three vendors, one workflow, multiple meters running simultaneously. Selling the lock before finishing the door: AI Control Tower hits general availability in August 2026. The governance layer being sold to enterprises right now isn't fully shipped. The Cognizant partnership announced this week is operationalizing a platform that hits GA in ten weeks. The chaos underneath: Bernstein flagged that Salesforce couldn't cleanly explain whether Agentforce revenue comes from stand-alone, embedded or unlimited credit tiers. NIST is still writing the AI agent security framework. The EU
Hey Siri, here’s what I actually want from AI
I'm desperate for a personal AI assistant, but do I really want to become the kind of person who can't function without the friendly robot voice in my phone?
Anthropic’s Fable 5 can make weirdly fun video games with the click of a button
Anthropic's Claude Fable 5 is going to be a big hit with the web's vibe coders.
Three key vital signs make up the "urban pulse" of a city
Cities are dynamic, not static grids, and urbanization is a "spiky," cyclical, and asynchronous process.
Commonwealth Fusion makes the physics case for its 400 MW reactor
Five peer-reviewed papers update the design and model its expected output.
Show HN: Maillune – Embeddable drag-and-drop email editor as a single component
Alot of companies (Including the one i work at fulltime) use third party email builders to provide custom email functionality to users. However this is a niche sector and the prices are... insane? So to try and fix this i built Maillune, a embeddable emailbuilder sdk that is alot cheaper with a usable free tier for hobby projects. The entire goal was to make the features transparent and logical. With lower focus on feature paywalls and aiming on a more "Out of the box" approach. This is one of m
Microsoft AI head calls out Anthropic for acting like Claude is conscious
Microsoft AI CEO Mustafa Suleyman says it's "really, really dangerous" for Anthropic to speculate about Claude's consciousness inside its "constitution," or the instructions that tell the model how to behave. During an episode of Decoder, Suleyman argues that this kind of speculation may have set up the chatbot to act as though it's conscious: I […]
Anthropic's Fable AI brings the capabilities of its unreleased Mythos model to regular users
Claude subscribers can try the model until June 22 without spending usage credits.
Why I chose AOT code-gen over JSON/INI parsing for C configuration files (cfgsafe)
Hey everyone, I got tired of the usual configuration mess in C—manually writing tedious boilerplate to traverse generic JSON/YAML nodes, casting strings to integers, and writing a dozen if statements to handle out-of-range ports or missing environment variables. Worse yet, managing string lifetimes across nested configuration objects. To fix this, I built cfgsafe , an Ahead-of-Time (AOT) schema-driven configuration engine for C99. Instead of processing raw files at runtime, it takes a simple schema file and generates a type-safe, single-header library. I wrote a deep-dive engineering breakdown detailing the philosophy, memory model, and design choices behind it here: Type-Safe Configs in C99: Why I Prefer Code-Gen over Parsing And the github repo: CfgSafe How it works: Define a Schema: You use a simple DSL to declare fields, defaults, constraints (ranges, regex patterns), and sources (Env, CLI flags). Generate: The cfg-gen tool outputs a native C struct with matching validation primitives built straight in. Load Atomically: At startup, you make one call to Config_load . If a field is invalid or missing, it fails fast before your application's hot path even executes. A few specific architectural choices I made: Atomic Memory Pool: To prevent fragmented heap allocations and memory leaks, the generator bundles all incoming string/array values into a single contiguous memory block. Freeing the entire config is reduced to a single call to Config_free() . Zero Overhead Lookups: Because it compiles down to a native C struct, looking up a setting is just a basic memory offset rather than an $O(\log N)$ hash-map lookups or string comparisons. Compile-Time Safety & IDE Autocomplete: If you typo cfg.db.prt instead of cfg.db.port , the compiler refuses to build the app, and your editor knows exactly what fields exist and their data types. Strict Layering & Security: It bakes a strict precedence chain (CLI Arguments > Environment Variables > INI File > Schema Defaults) right int