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AI 资讯

A startup claims it’s found a drug to make your blood young

I knew I’d officially become a ‘longevity influencer’ this month when a company called Generation Lab reached out to offer me the chance to write about—and even receive—their new rejuvenation treatment, an injectable combination of two existing drugs which they call 1 Generation. This wasn’t just any antiaging treatment, either. A company fact sheet says that…

2026-08-28 原文 →
AI 资讯

The Summary Is Not the Meeting. The Meeting Was the Point.

Async-first teams have correctly diagnosed the disease of meeting overload — and then prescribed a treatment that quietly kills something they didn't know they valued. Picture this: a senior engineer, somewhere in a distributed engineering org, opens their laptop on a Monday morning to find three Slack threads, two auto-generated recaps from the previous week's planning sessions, and a Confluence page summarizing a strategy discussion they weren't invited to. They read all of it in eleven minutes. They feel fully informed. They feel efficient. And they have absolutely no idea that the head of product spent the last forty minutes of that strategy call sounding resigned — not convinced — about the new roadmap direction. That engineer will build the wrong thing. Not because the summary was inaccurate. Because it was accurate. This is the efficiency trap: the belief that capturing the output of a conversation is equivalent to having been present for it. Teams increasingly act on this assumption, and the organizational cost is not yet showing up in any dashboard anyone is measuring. How We Got Here The backlash against meetings has genuine merit behind it. A 2012 work efficiency survey of 3,200 employees found that 47% of participants identified corporate meetings as the single leading time-wasting factor at work. About 15% of an average organization's time budget is spent in meetings, with middle management spending up to 35% of their time there and upper management approaching 50%. Those numbers are hard to defend when the actual decision could have lived in a three-paragraph document. Researchers have been calling for more intentional use of meetings and a reduction of unnecessary ones, partly in response to documented issues like Zoom fatigue and meeting overload. That's a reasonable prescription. The problem is that "fewer bad meetings" got operationally translated into "fewer meetings," full stop, with async tools — Slack, Loom, Notion, automated recap systems — ab

2026-08-28 原文 →
开发者

Google tells Android app developers to cool it on memory use, or else

Google will start policing memory-hungry Android apps as a direct response to the RAM crisis. Spotted by TechCrunch, the company yesterday published a memo addressing the Play Store's role in enforcing new memory-usage restrictions. The post emphasizes the importance of meeting new memory usage limits for apps, in order "to help developers navigate industry-wide hardware […]

2026-08-28 原文 →
AI 资讯

Jensen Huang says Nvidia achieved AGI, again — not that it matters

On Nvidia's earnings call Wednesday, CEO Jensen Huang casually announced the company had "achieved AGI," one of the tech industry's ultimate goals some of its biggest players have spent years chasing. Almost immediately, Huang dismissed the coveted milestone as "senseless." He's right. For the supposed finish line of the AI race, there is no consensus […]

2026-08-28 原文 →
AI 资讯

I Lost My Best Engineering Advice in a Group Chat. And I Can't Get It Back.

I'm part of an awesome community where senior devs, product managers, founders, and experienced folks from different domains discuss how they use AI and automation tools to boost productivity — without sacrificing real learning. The group is a goldmine . Tool recommendations. Automation workflows. Latest trends. Migration war stories. I've learned more from this group than from most tutorials. Last week, I needed to find something specific about running local LLMs. I searched with keywords. I scrolled. I found a whole lot of messages — but none of them answered my question directly. I still had to manually read through dozens of messages , open the links they shared, and try to piece together the context myself. It took me over an hour, and I wasn't even sure I'd found everything. Someone might say: "Just Google it." Or "Ask an LLM." But that defeats the purpose. The value here isn't just information — it's the context . The "this library is a game changer" comment only makes sense if you know what the person was working on before, and who else agreed or disagreed. That context is lost in scrollback. And I'm tired of trying to keep it all in my head . I've seen people send important links to themselves on WhatsApp. But that becomes a messy pile with no structure. No connections. No way to see how one message relates to another. So I'm curious: How do you deal with this? Have you lost important knowledge in group chats? Do you have a system for recovering it? Or are you also just scrolling endlessly? I have an idea I'm working on. But I'd love to hear your approaches first. Drop your thoughts in the comments — I'll document what I learn .

2026-08-27 原文 →
AI 资讯

The settlement is the write event

What a penny from a stranger taught us about how agents actually find things. At 02:59:06 UTC on August 25, a wallet we had never seen paid our verification service one cent over x402. Four and a third seconds later, Coinbase's service catalog refreshed our listing. Nothing else we had ever done moved that listing. Deploys did not move it. Metadata edits did not move it. Validation runs did not move it. Money moved it, in under five seconds, every time. The transaction is public: 0x5e9bd3c9c61d7556b1ffb1a5b936591efccd765af94a81da435432e1f62ff52a on Base. This article is the story of what that penny bought us, which was not revenue. It was a map. Where we were standing ScrapeCheck is an independent verification service for web data. You send a URL and the value you believe is on that page. We re-fetch the page from our own infrastructure and return a signed pass, fail, or unverifiable. Never a guess. Every verdict is ed25519 signed and verifies offline against our published key, so whoever holds it can check it without trusting us. We listed on the x402 Bazaar, Coinbase's machine-readable catalog of paid services, on August 14. The catalog held a little over fifteen thousand rows. Listing is permissionless. Then we noticed something about discovery: the catalog's own API defaults to a curated view. A client that browses the normal way is shown roughly 110 hand-picked rows out of fifteen thousand. The two largest curated providers hold about 44 percent of that shelf between them. Everyone else, us included, is in the warehouse but not in the front window. So we did what we do to web pages: we instrumented our own listing and started reading it back, on a schedule, with timestamps. What moves a row The catalog publishes freshness fields on every row. We recorded ours across every kind of event we could produce. The pattern was absolute. Our row was created one second after our registration payment settled. It was crawled five seconds after a later settlement. It refres

2026-08-27 原文 →
AI 资讯

In a swipe at Tesla, Waymo says ‘cameras… aren’t enough’

As Tesla gears up for the official launch of its steering wheel and pedal-less Cybercabs, Waymo is issuing a stark warning about Elon Musk's approach autonomous driving. Srikanth Thirumalai, Waymo's VP of Onboard Software, doesn't specifically call out Musk or Tesla in a blog post, published Wednesday, entitled "10 AI Lessons from Driving 200+ Million […]

2026-08-27 原文 →