标签：#us

ChatGPT is hiring a dedicated product manager to build experiences for families, caregivers, and older adults, according to a job posting.

On July 9, 2026, the European Parliament reauthorized a law that lets tech companies scan your private messages without a warrant. Here is the part that should worry you: a majority of lawmakers voted against it. 314 MEPs voted to kill the law. 276 voted to keep it. The law passed anyway. How? The rejection required an "absolute majority" of 361 votes out of 720 MEPs. Every absent MEP effectively counted as a yes. The vote was scheduled for the last day before summer recess, when many MEPs had already left Strasbourg. The European People's Party, Parliament's largest group, used a rarely invoked urgency procedure (Rule 170) to force the vote onto the floor on July 7. Two days later, the deed was done. What Chat Control 1.0 Actually Does The law is technically called the ePrivacy derogation. It allows tech companies to voluntarily scan private, unencrypted messages and emails for known child sexual abuse material (CSAM), without a warrant or prior suspicion. Platforms affected: Instagram DMs, Discord, Snapchat, Skype, Xbox messages, Gmail, and iCloud. Platforms not affected: WhatsApp and Signal, because they use end-to-end encryption. Parliament did adopt an E2EE exemption amendment with 369 votes, excluding "communications to which end-to-end encryption is, has been or will be applied" from the scanning scope. But here is the catch. Providers of E2EE services were not scanning messages anyway. The exemption preserves the status quo. It does not create new protections. The scanning is limited to "known" CSAM material, meaning previously identified photos and videos. It does not detect new or unknown material. And it remains in effect until 2028, or until a permanent regulation is agreed. The Numbers That Should Make You Doubt This Law The EU Commission's own evaluation report gives Chat Control a very poor assessment: Only 0.00000077% of messages scanned in the EU actually contained illegal material ( heise online ) False positive rates of filter technologies reach u

**_Hi everyone! We're three 16-year-old friends learning to code. Instead of building "just another app," we want to solve a real problem that developers actually face. So we have one question: Think about a moment when you caught yourself saying, "Why hasn't anyone built a good solution for this yet?" What was the problem? It can be anything: something that wastes your time, something frustrating, a repetitive task, a confusing workflow, or anything that made you wish a better tool existed. We're not trying to sell anything. We're simply listening and looking for real problems worth solving. Every answer means a lot to us. Thank you!_**

Summer 2026 marks the 30th anniversary of Jay-Z’s debut Reasonable Doubt. To honor it, he put on a massive concert at Yankee Stadium—complete with performances from Beyoncé, Nas, and Alicia Keys.

Johannes Heidecke’s departure comes as OpenAI tries to further integrate its research and safety teams.

CISA said it "missed" an opportunity to get ahead of the security incident by not creating a response plan ahead of time.

Data centers are driving up the company’s use of electricity—and carbon pollution.

The café was crowded that evening, but to me, the world had fallen completely silent. An open...

Schneider, who formerly served as the CEO of Automattic and is a partner at True Ventures, says he is "all in" on the unconventional social media platform.

The iPhone maker claims OpenAI encouraged poached employees to bring over confidential presentations, secret prototypes, and key supplier details.

Better to sacrifice a part to preserve the whole. — The 36 Stratagems, Sacrifice the Plum Tree to...

Solid-state batteries are safer and more capable—but harder to mass-produce. They also represent an opportunity for non-Chinese companies to get back in the game.

As the AI boom boosts demand for RAM, SK Hynix - one of the world's biggest suppliers of memory chips - launched on Wall Street Friday. The South Korean chipmaker opened at $170 per share and raised $26.5 billion, surpassing Alibaba's record as the largest debut of a foreign company, according to reports from The […]

HyperTexting's new app aims to make the open web feel more like social media by turning websites, blogs, newsletters, and podcasts into a scrollable feed, while also making it easier to post to your own website.

Spotify is giving listeners control to fine-tune what gets surfaced for them in Release Radar - one of its most popular weekly playlists. The new options allow you to narrow the playlist to a specific genre, focus on artists that are new to you, and more. Listeners can choose from up to five options like […]

China's state-owned space company recovered its first orbital rocket booster after launch.

The launch of free content would allow Disney+ to better compete with free services like YouTube and Tubi, which are capturing a growing share of consumers’ viewing time.

If you were to look up into the night sky, what would you see? Countless points of light, scattered in every direction. Most of what you're looking at are stars. But some of those points are whole galaxies—vast collections of stars, spread across incomprehensible distances, compressed by that distance into a single pinprick of light. And what you can see with the naked eye is only a small fraction of what's actually out there. I want to use this as a way to offer you a way of thinking about how large language models work. Just an analogy, not literally what's happening inside the mathematics—that's not my forte. My hope is that it captures something true about the mechanics, and more importantly, it gives you a mental model you can actually use when you're working with these systems. About two years ago, I was wrestling with finding a way of explaining what an LLM does. My first analogy was that of a dictionary. The naive view was that a dictionary uses words to define other words, and an LLM holds a matrix of words with weights that describe their relationships to each other. So the parallel seemed natural: both systems work through relational structure. However, a dictionary gives you denotation—the surface-level meaning. It's a lookup tool for individual words, not a model of language itself. And critically, you have to already understand language before a dictionary is useful to you at all. The analogy didn't capture what was actually happening in the weight relationships—the distributional semantics, the contextual patterns that let an LLM generate coherent text. Ok, so back to galaxies, when you look up at the night sky, you're not seeing distance—you're seeing direction. That galaxy over there, the one that looks like a point of light, could be millions of light-years away, but what matters for our analogy isn't how far it is. It's which way you're looking. And when you point yourself in that direction and venture toward it, you discover it's not a point at a

Yes, Sarah Wynn-Williams violated her deal to stay silent. But the power disparity bolsters the view that Meta is a heartless bully.

👋👋👋👋 Looking back on your week -- what was something you're proud of? All wins count -- big or small 🎉 Examples of 'wins' include: Getting a promotion! Starting a new project Fixing a tricky bug Cleared your inbox below 50 unread (which felt like defusing a bomb) 📬 Happy Friday!