@tentenchan2525 @_Nanase_Ryo_ https://t.co/d9ArOL64ZU

@Pokemon_cojp https://t.co/d9ArOL64ZU

@danshipper Been doing this for awhile @danshipper - if you did one, I missed it, sorry. https://t.co/pokclZMoF1

I asked Opus 4.6 in Claude Code to build me Borges's Library of Babel. An hour later it delivered this. The AI implemented a Feistel cipher so each possible book has a real location, you can search for text across the Library & find the book. Enter it: https://t.co/hEG9yYQEeI https://t.co/gCOvqwT8kX

Previously done with Claude 4.6: https://t.co/pokclZMoF1 @danshipper also did a version (which I did not know until he posted on this thread).

@Looki_ai Should have linked to the conference, here's my talk from yesterday: https://t.co/eLnskJNsfi

Introducing VITURE Helix — in collaboration with @nvidia. The first AI safety glasses built on NVIDIA's XR AI solution. Sees what you see. Hears what you hear. The AI you wear to work. → https://t.co/HZktI0aIS1 Learn more: https://t.co/m3S92VjFjy https://t.co/ylEPUaBNYv

@KevinQHLin Yes it can: https://t.co/kiuZ7QXLzb Mine reads 30,000 posts a day here on X to write the essay it writes. Will try Data2Story.

Introducing Framer 3.0 with Agents, Branching, Community, and an all-new design. See everything that’s new below. https://t.co/CepZS4Phhh

Introducing GLM-5.2: Frontier Intelligence, Open Weights - Significant improvements in coding and agentic tasks - Strong long-horizon capabilities with a 1M context window - Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong balance between performance and token efficiency - MIT-licensed open weights - Same API pricing as GLM-5.1 Tech Blog: https://t.co/LAsxUdN0JZ Weights: https://t.co/g0A1C4UWx4 API: https://t.co/Kc3E22cbN7 Coding Plan: https://t.co/Nk8Y98HNhU Chat: https://t.co/WCqWT0qCQb

Fable's implementation of Borges's Library of Babel, finished posthumously by Opus 4.8. Quite accurate to the story. It is multiplayer (others appear as ghosts). You can locate key volumes, like the weights of GPT-1 & the code to the Library sim itself: https://t.co/pXw6vrYO8U https://t.co/4qB8xCXimT

@ChiefAgenteer You probably will argue with this then: https://t.co/WHQfJZzOqs

The most hated idea. Wearable cameras. Why do our earphones need cameras? Even at tech nerd conferences I get asked to take off my cameras. Happened yesterday when I was using my @Looki_ai wearable pendant. Now keep in mind this was at a conference where they are discussing VR and AR all week. Most don't mind, but one gentleman asked me to not record him. Luckily with this device, and with earphones, you can easily comply. With the Looki device as soon as it is blocked, it turns off and stops recording. It takes infrequent photos, or lets me click a button to record either audio or video. Then makes me a fun little journal of my day, turning my life into a cartoon (yesterday's is included here). It's pretty rude to wear headphones while you are supposed to be talking with people. So most of the time when I'm interacting with people they probably would stay in the case in my pocket. So why go down this path then? For many reasons. Here's some I've discovered (Microsoft did a ton of research on these about 20 years ago with a team in San Francisco). 1. They can help you. Let's say you are trying to fix a machine. An old car. A washing machine. Or, even build a new electronics device. The AI inside could be seeing what you are doing and help you. Even while cooking a meal. "Hey put a little more butter in the rice if you want it to really come out well." 2. They can capture moments in your life much easier than trying to record on a phone. "Hey the baby is starting to walk." Then you could stay in the moment and enjoy the moment. I forgot that I was even wearing the camera most of the time. 3. They can see where you are and improve your experience. "I see you are in Times Square, did you know there's a great place to get Cheesecake around the corner?" Museums, traveling, and more are much nicer with AI and cameras. 4. They can remember things. "Hey, you didn't put your passport in your bag, it's still sitting on the front counter." Making sure you don't miss them. I can see a day where I'll ask my Looki "where did I leave my keys?" 5. They can help you network with people. Many yesterday were wearing a name badge. It could tell you later "hey, saw you were hanging out with @philiprosedale, who started Second Life, why don't you drop him a note and ask for an interview for your show." 6. They can remind you of things. "It's cold in San Francisco, I didn't see you bring your jacket." And I'm sure I haven't discovered a whole bunch of things wearable computers with AI could do. What would you do if your headphones have a camera and a powerful AI inside? Or are you just freaked out about the idea? I'm headed back to an AR/VR dinner tonight at Edge Esmeralda. Which really is an amazing event. About 400 people come from around the world to hang out for a month (some only a week) to hear interesting talks on technology and life, and get together to work on projects or companies. It's my favorite event I've ever been to, and I've spoken in 80 countries at many different events. One of the attendees said "it's Thinking Man." Like Burning Man but for people who want to improve their brains. They hold them all over the world. Someday I'm gonna take my family on vacation to one and just hang out for a month. My idea of a great vacation is to hang out with smart people talking about the future. What, you thought I'd like sitting on a beach in Hawaii? I've done that, this is far more fun.

@markgurman Why do people need cameras on headphones? Here's why: https://t.co/WHQfJZzOqs Looking forward to these.

GLM-5.2 is comparable to Opus 4.8 🔥🥵 with 1M context > new IS attention reuses one indexer every 4 sparse layers (2.9× per-token FLOPs at 1M > improved MTP layer for spec decoding > flexible thinking-effort levels > day-0 in transformers + vLLM + SGLang, MIT license 🤗 https://t.co/YdHM3njWQC

.@zai_org open-sourced GLM 5.2 today, and Modular is a Day Zero launch partner. GLM 5.2 is their new flagship for coding and long-horizon agentic work, with usable 1M-token context built for tasks that run long and call a lot of tools. Serving a model like this well is a full-stack problem. As context grows, the KV cache grows with it, and doing it economically at high concurrency takes more than a config flag. The Modular stack optimizes the path from GPU kernels to serving, which lets us run frontier open models on Day 0 with the utilization and economics agent workloads need. It's available on Modular Cloud now. Request access: https://t.co/m2iKNb7l8b

GLM 5.2 is built for long-horizon tasks - get all the benchmarks and learn more about the model in @Zai_org's great blog post: https://t.co/IH0Q94zRk0 https://t.co/M048tc6vOj

Interesting move by Elon Musk and SpaceX. Buying Cursor is not just an acquisition of a coding tool. It is a bet that software development itself will increasingly be performed by AI agents. If that thesis is right, AI won't just change how products are built. It will change who builds them.

@markgurman @evanspiegel Yeah, how I'm evaluating glasses now: https://t.co/0HO5ZVlmkJ

@TrendsDotGlobal @TechCrunch Yeah. Here's how I'm evaluating them: https://t.co/0HO5ZVlmkJ

$38 billion loss for OpenAI in 2025, 8x increase since 2024. Time to play my favorite game. IS?! THAT?! GOOD?! https://t.co/Lv2viNLZY6

Snap finally debuts its long awaited AR glasses, Specs, and, oof, they aren’t cheap https://t.co/o5gBaZdFHX

The Holodeck glasses are here from Snap, but aren't affordable for most people. $2,195. I just bought a $1,500 pair of ZeroG glasses https://t.co/9erfAvXvG1 to help me see reality better. The best my optometrist offers. With Zeiss lenses. Yeah, I could have bought a pair of Warby Parkers, but I wanted the absolute lightest, best lenses, I could afford. My eyes suck. But these set a baseline I'll use to judge AI glasses that are coming out of the woodwork against. My lenses: 1. Let me see near and far. Most of the digital eyewear don't do that. 2. Turn dark in sunlight. Most of the digital eyewear don't do that. 3. Are featherweight. Every fraction of a gram makes them less comfortable. 4. Are fashionable. Not true of many of the digital eyewear that's come out. 5. Are completely waterproof (I don't need to take them off in a rain storm). 6. Lenses have very scratch resistant coatings. My last pair, after four years, still have no scratches. 7. Are very durable. Titanium frames are the best at resisting abuse that I've found. Compared to my new glasses I can't see wearing Snap's glasses all day long. So I'd wear them to try some augmented reality experiences. The problem is that most of the augmented reality experiences aren't yet to the place where I want to keep them on for more than an hour. Which is why these will still be very niche focused. Developers should consider. The rest will probably wait, just like they did with Apple Vision Pro (which does have many amazing experiences, but are too heavy and too expensive for me to recommend to my family and friends). That said, sometime in the next five years some company will put it all together with a device that gets me to take off my ZeroG's for hours. Will keep evaluating them, have several different AI glasses here to compare, with more on the way. One kind of person I'd recommend getting digital eyewear? Business travelers. The glasses from @getVITURE or @XREAL_Global give you a huge color screen to watch a movie, or work in privately, while taking a long flight. They don't pretend to be glasses you can wear all day, and require a wire to a laptop or a phone to power them, though. But at CES the crowds around their booths show that there's a market demand for their kinds of glasses. There the utility does pass the ZeroG's I have. I also find I frequently put them on when working because of the huge color screens inside. But the Holodeck device of my dreams still hasn't arrived. Will keep evaluating as Google and Meta bring new devices later this year.

@julitoalonso I want a Vision Pro that's as light as my ZeroG glasses. Yeah, might be waiting a decade for those. :-) The eyewear industry knows that they need to be less than 500 grams to be comfortable for a few hours. My Concord frames: https://t.co/UmmfuwECgR are only a couple of grams. So the gap is huge. I'm coming to the realization that glasses that can compete with my ZeroG's aren't coming soon, so I'm looking more for utility that can get me to take off my ZeroG glasses for a few hours to do something like play a game, watch a movie, or work while I travel or sit at a coffee shop, something like that.

Listen to the OpenAI Podcast on— Spotify https://t.co/5u8ANPIHBe Apple https://t.co/ZhhRA1ZB27 YouTube https://t.co/ABG78oTl6W

Keir Starmer requested a carveout from the embargo on Anthropic's Mythos and Fable models for British nationals and companies - and was denied. A senior White House official, speaking on condition of anonymity, told the New York Post: 'We can’t have frontier models running amok'. https://t.co/lO45xkwGcT

Has everyone forgotten the performance trigger in the SpaceX lockup schedule https://t.co/UH9lf2k92m

@osupernerd This is how: Claude Mythos secret weapon exposed via public leak: https://t.co/0v5qNCnVrl

Building AI is hard. Reorganizing thousands of people around AI may be even harder. Meta’s admission that its AI reorganization was mishandled is a reminder that technology transformations are ultimately human transformations. The companies that win in AI will need more than great models. They will need great execution.

https://t.co/bGqRjwYnEQ

Geometric Action Model for Robot Policy Learning Repurposes a geometric foundation model as one backbone for perception, prediction, and action. 1.4B parameters. 6.9 ms inference. 85.5% on LIBERO-Plus. 55× faster than baselines. https://t.co/wNYlFaghX0

What is speculative decoding? Speculative decoding is an inference optimization that uses a fast, small "draft" model to quickly propose several future tokens, which are then verified in parallel by a larger, slower "target" model. This process significantly speeds up the token generation of large language models (LLMs) by allowing the generation of multiple tokens per step, without sacrificing the quality of the output text Learn more at https://t.co/qYAJJ8Snin