127.0.0.1
Joined February 2009
I already pay a cleaning fee for that. So what’s the cleaning fee for?
its just bonkers the new policy @airbnb is trying to put in place. Putting the dishes in the dishwasher, taking out the trash, pulling the sheets off the bed....they are just standard things any normal person would do when staying at a house. Why wouldn't a host be allowed to say that?
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Lmao they are both shite and if you are that worried about the photo quality of a bird standing in a puddle two blocks down the road maybe you should re-evaluate your life.
the Duo’s 10x is straight up trash same bird, same distance and it still looks soft, noisy, and washed out as hell next to the 18 Pro genuinely disappointing ngl
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Of course they do this.
Damon Wayans Jr. exposes the truth about how Black celebrities vs. white celebrities act behind closed doors "That’s when I realized the difference between how Black celebrities have fun and white celebrities have fun was on the set of Other Guys" "We got Will Ferrell and Adam McKay. I got really close with them, right? And so close that they had this poker night... he would rent this nice hotel room and had a dealer and open bar" "I remember showing up for the first time and it was like Will Ferrell, it was Adam, a couple other celebrities… zero bitches, right? And so this is before I was married, right? Zero bitches" "So I go up to Will and I’m just like, 'Hey man, where the hoes at?' He’s like, 'Hoes? Um, I’m married.' I was like, 'Oh no… but like, where the hoes at?' He’s like, 'No, we’re just going to play poker'" "I just wasn’t used to it, you know? ‘Cause like, you know, Uncle Marlon… he got hoes everywhere. He bring hoes to the dentist" "Yeah, that nigga die, he bring bitches to heaven. Like, 'What’s up, God? Me plus three. Can we get them some wings?'"
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I refuse to believe she’s not a psyop
Tate McRae has released her new single ‘Housewife.’
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Idk what you guys are talking about the Claude Code app is still terrible IMO. It’s somehow even more verbose than the terminal and you can’t even drag and drop files from a cloud mounted storage system like Egnyte, OneDrive, or DropBox. @claudeai @ClaudeDevs
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This is awesome. Great job @DanFessler
Introducing TrellisWM: The Fractal Window Manager for MacOS Its how the desktop should have always been. Download at TrellisWM.app
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Couldn’t agree more. This might the the first @Apple ad in history where the ad turned me away from the product. It’s chaotic and makes me feel rushed and unorganized.
Marketing 101: An ad should sell a life people want for themselves. No one wants to be this family.
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Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel. - Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all. - Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract. - Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code. - And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while. The funnel is driven by a combination of factors: 1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel. 2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel. 3. Access. Free-tier, paid-tier, internal. So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.
Judging by my tl there is a growing gap in understanding of AI capability. The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code. But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along. So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions. TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.
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I love how these people opine on this stuff like @elonmusk , the inventor of self driving cars and reusable rockets, hasn’t considered these things lmao.
T-Mobile CTO in new post on @SpaceX acquiring nationwide low-band spectrum to help turn Starlink into a major U.S. mobile carrier: "Some are calling it the "last critical piece" needed to compete with the national wireless carriers. I can tell you there's a big difference between owning spectrum and delivering a great mobile experience to millions of customers. A few things worth keeping in perspective: 1) Spectrum is just the starting point. The Grain transaction involves approximately 14 MHz of spectrum that T-Mobile previously divested because it was no longer central to our network strategy. Even with this acquisition, @Starlink Mobile would have roughly 80 MHz of spectrum, some of it uplink-only. Compare that to T-Mobile's nearly 400 MHz of mid-band and low-band spectrum holdings. We used 800 MHz spectrum as a single 5 MHz uplink/5 MHz downlink channel for LTE years ago. Today, we're operating a nationwide 5G Standalone network, launched nationwide 5G-Advanced, and are already helping shape the path to 6G, all using channels that are much wider. The industry has moved forward and so have the expectations of customers. 2) Physics still applies. A satellite hundreds of kilometers above Earth faces approximately 50 dB more path loss than a terrestrial cell site just a kilometer away. Moving from 2 GHz to 800 MHz recovers only a few dB of that enormous disadvantage. Lower-frequency spectrum can help improve satellite connectivity, but it doesn't change the fundamental physics. A satellite signal traveling hundreds of kilometers simply faces challenges that a nearby cell tower doesn't. 3) Indoor coverage is where the real test begins. More than 70% of mobile traffic takes place indoors. Think about where you use your phone most: at home, in the office, inside a store, or at a crowded venue. That's where terrestrial networks have a fundamental advantage. Buildings, walls, and other obstacles make it much harder for signals traveling from space to reach customers reliably. Direct-to-Cell technology can extend connectivity to outdoor places traditional networks don't reach, but delivering a consistent indoor mobile experience is a very different challenge. 4) Capacity matters just as much as coverage. One satellite beam can cover an area served by hundreds of terrestrial cell sectors. Those terrestrial sectors provide the network density needed to support millions of customers streaming video, making calls, working, gaming, and using data simultaneously. Covering a geographic area is one thing. Delivering the speed, responsiveness, and capacity customers expect from a modern 5G-Advanced network is another. Direct-to-Cell has an important role to play in extending coverage. But it is a complement to terrestrial networks, not a replacement for the capacity of a dense 5G-Advanced network. 5) Building a great network takes more than capital. It takes time and experience. The U.S. wireless industry has invested more than $250B in network infrastructure since 2018. That’s on top of more than $200B in spectrum auctions over the past decade, plus the stores, care, and distribution that support customers every day.  And that investment represents only part of what it takes to deliver a great wireless experience. You can acquire spectrum in a single transaction. You cannot acquire a nationwide, high-performing wireless network overnight. If this is truly the beginning of a new wireless provider in America, we welcome competition. It's good for innovation, good for the industry, and most importantly, good for customers. But great wireless networks aren't built with headlines or spectrum licenses alone. They're built site by site, neighborhood by neighborhood, in subway tunnels, office buildings, stadiums, and communities across America. Spectrum is an essential ingredient. But it takes a network to deliver on its promise."
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Quantum Super Intelligence - Being able to opine on all possibilities at once.
What's coming after superintelligence?
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This is awesome but Lord that music is terrible.
\\ PHARAOX. the brief said go crazy. so I took Pharaoh and pushed it into the machine age. In the far future, a new pyramid of crimson steel was built on top of the old one. but the pharaohs never truly rest. every era, one of them rises from the sand to take back what was stolen, so an army of androids stands guard, waiting for the next one. this time, it's Nefertiti. - Happy anniversary, @PharaohExchange thank you for building something worth creating for. here's to many more years, and many more pharaohs rising. Made with @makooor
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This is a normal NY apartment lmao. And looks sloppy AF. No color. Flat lines. No art. Insanely boring.
to no one's surprise, nile greenberg's apartment in new york is absolutely stunning images courtesy of metahaiku
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Hell yeah
BREAKING: Secretary of Labor Keith Sonderling: "I am hereby suspending from the Permanent Labor Certification Program some of the largest IT outsourcing firms in the world — Cognizant, Infosys, Tata, Wipro, HCL, and Capgemini — and also, due to multiple active federal investigations, the Department of Labor is suspending Microsoft and Adobe from the program."
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Microsoft/Bill Gates are both trash
.@VP: "There has been no company in the United States, unfortunately, that has abused this system more than Microsoft." Microsoft laid off 6,000 American workers in 2025 after certifying that it could not find qualified American employees — yet the company was approved for more than 6,000 H-1Bs and filed 3,682 PERM applications, including nearly 1,000 applications for the same positions as the laid off American workers.
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Hey @AnthropicAI @bcherny assuming this is some kind of glitch? I just added up each user manually and we aren't even close to $500 spent.
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"Core functionality is not affected." Except no one can use anything because we are getting the "Your org is out of usage message" lol. @ClaudeDevs @claudeai
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Replying to @neiltyson
Kind of like you right?
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Isn’t ARK up less than 2% in a year though? Am I missing something.
This quoted post is unavailable.
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They want to make other women jealous and they need the attention from people online. It’s like air to them.
Hermanos en Cristo necesito que me expliquéis la obsesión de las mujeres con los putos viajes. No me puedo creer que sea tan vital. Explicadme la ciencia que hay detrás de esto. No quiero ir a puto Bali.
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