Rahul Goma Phulore @missingfaktor

@elonmusk @teortaxesTex won’t take that long

I think GLM 5.2 points to a 7 months gap currently It's around Opus 4.7-4.8 level, all told (modulo vision which in Opus's case is garbage anyway). Mythos reached Preview status (≥ Opus 4.8, functionally) by early Feb 2026. This means full PRC Mythos ("Fable") by Nov-Dec'26.

Lunexa @Lunexalith

2 days ago

@teortaxesTex What's your current timeline for china to reach Fable class ? GLM-5.2 certainly shorten the gap.

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1. as a mental model it is more correct to think of fable+ class models as english -> code interpreters - converts your idea into code into "correct" code regardless of problem complexity and output complexity (diff size). Fable 5 will be the worst of this new class of models 2. diff size/complexity is to be managed purely for review: small diffs - in high risk areas of code (auth/identity/data access/network access/money movement) large diffs for code that can be empirically verified (frontend/backend plumbing/code without network or db access/performance code that can be empirically verified) 3. time it takes to ship software is completely disconnected from time to produce the PR - how long the work takes depends fully on ability to review/merge code while managing risk at scale 4. solving the bottlenecks for above matter enormously- linters/testing/CI/shadow mode verification/empirical verification 5. agency matters enormously- what are the biggest bottlenecks to speeding up the loop and eliminating them? what are the problems that need solving and when do they need solving? what does it take to the solution to all of them today? 6. deep understanding of the full stack matters enormously- what problems are worth pursuing? is there a higher level of problem abstraction to address first? should I give it the sub-sub task, the sub task, or the task itself. what are the major risks with this PR (order of importance: security holes/correctness holes/performance holes). is there a higher speed way of producing data that allows me to merge this? should this be run in shadow or in a sandbox or a flag. understanding every line of logic may not be needed but understanding and managing risk matters enormously. 7. the cost of complexity itself is changing. it might be now worth "maintaining" 50% more code to get a 5% performance win. getting the right abstractions matter less because larger refactors are less tedious. code quality nits become huge drag. very likely, a much smarter model will be maintaining your code so worth taking on more technical debt now. taking the time to hand architect and rebuild systems comes with an enormous cost of velocity 8. if it quacks like a duck and walks like a duck, it's a duck. For low risk cases, it might be more sane to treat code chunks (services / functions) as a black box, like we do for neural networks: do full empirical verification only: has code produced correct outputs for the last 10,100,1000,10k inputs ? can we quarantine this large piece of code - no outbound access to network / database ? what happens when this code is wrong? do we get hacked/or crash(memory/cpu)/is an inconvenience? is it internal facing or external? what can we do to address these risks? 9. eventually, logical verification (line by line review) will come at an enormous cost- save it for where it matters and build systems that are tolerant to empirical verification. is there a decorator that prevents db / network access? correctness bugs are significantly easier to rectify than access bugs 10. what are the rails that allow for even faster iteration? code permissions can be opt in - db writes, db reads, network egress (to where?), PII access. how long does it take to get shadow mode data? how many PRs can be tested? What are the categories of diffs

GPT-Realtime 2 is the future of the operating system. I've been experimenting with it for a couple weeks now, and I gotta say, it's pretty gosh darn incredible. Opening apps, searching the web, even editing in Premiere. All with just my voice. And it only takes a few prompts to set up. In this video I'll show you exactly how. 0:00 Intro 1:46 What is GPT-Realtime 2? 4:46 Setting it up (no coding) 7:53 Fixing the always-on mic (push-to-talk) 9:41 Demo: searching the web 11:38 Demo: connecting apps via MCP (Obsidian) 14:13 Demo: controlling Premiere Pro (accessibility tree) 18:00 Honest caveats 19:00 Outro

BREAKING: GLM-5.2 is now 1st on Design Arena. With an Elo of 1360, GLM-5.2 has jumped ahead of the now unavailable Claude Fable 5. And it's open weights. This is an improvement of 4 positions and 27 Elo points to achieve one of the highest Elo scores in our code categories since Design Arena started. Huge congratulations to the @Zai_org on the release!

@morganlinton That’s a brilliant name

Do more experimentations with local models people! vickiboykis.com/2026/06/15/run…

Prepare for takeoff. ✈️ Flight simulator is now available globally on web to all users. goo.gle/4fBYnWO We've recently added many our most powerful professional desktop features to web. Elevation profiles, new import types, but there's always been one other feature you've been asking us to add to the web version of Google Earth, just for fun... Where will you fly? Share your best maneuvers, views, and flyovers with us!

Our internal data shows Claude is accelerating AI development—a possible path to recursive self-improvement, or AI autonomously building a more capable successor. It’s happening faster than we thought, and the implications deserve greater attention. anthropic.com/institute/recu…

Today, we’re launching Reve 2.0, the best 4K image model in the world. We invented a new way to generate and edit any image using precise layouts. For the first time, it’s possible to create images you can touch.

Things are going to get very wierd very soon

Aoden Teo @AodenTeoMT

2 weeks ago

Today, we’re excited to introduce Miso One, the most emotive voice model in the world. Miso One is an 8-billion-parameter text-to-speech model for highly expressive speech generation. It emotes like a human and responds faster than a human, with just 110 milliseconds of

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One reason AI sucks at design is because you're bad at telling it what you want Experienced designers have a thousand shorthands for expressing design in words: - "set the text tighter/looser", "bump the leading" - "tighten it up", "let it breathe", "fix the hierarchy" - "anchor", "rhythm", "negative space" Feels like a skill waiting to be written here

Hell is other people's prompts and skills

A year ago, I got rejected from an offer because I refused to code without AI. Today, Jane Street rejected a candidate because she refused to use AI for coding. What a crazy world

Aoden Teo @AodenTeoMT

2 weeks ago

Today, we’re excited to introduce Miso One, the most emotive voice model in the world. Miso One is an 8-billion-parameter text-to-speech model for highly expressive speech generation. It emotes like a human and responds faster than a human, with just 110 milliseconds of

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This is how performant PR review could be. On any forge. Pierre is showing us that the only thing holding that back is a skill issue. Excellent ship here! They’re on fire!

Pierre @pierrecomputer

4 weeks ago

diffshub[dot]com Take any public diff from GitHub and virtualize it nearly instantly, no matter how large, with DiffsHub. Built to show off our brand new CodeView component. To try it out, replace `github` with `diffshub` in your address bar.

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Today, we share a breakthrough on the planar unit distance problem, a famous open question first posed by Paul Erdős in 1946. For nearly 80 years, mathematicians believed the best possible solutions looked roughly like square grids. An OpenAI model has now disproved that belief, discovering an entirely new family of constructions that performs better. This marks the first time AI has autonomously solved a prominent open problem central to a field of mathematics.

A trick to regain focus: have AI write a report on anything, and then print it out on paper. - Learn about a codebase - Catch up on Slack messages - Compare options for a purchase No screens, no distractions

Make illegal states unrepresentable -- physical world edition

Franz Co 🇵🇭 @D3Vlicious

2 months ago

It looks strange at first, but it actually just means you csn use either a AA or a AAA battery.

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The high agency triangle

signüll @signulll

a month ago

someone yesterday asked me what i thought high agency meant. i think it’s usually some unholy combination of: - resourcefulness - relentlessness - resilience this has always been rare, but rn it feels borderline unfair. the world has never had more leverage just sitting around

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someone yesterday asked me what i thought high agency meant. i think it’s usually some unholy combination of: - resourcefulness - relentlessness - resilience this has always been rare, but rn it feels borderline unfair. the world has never had more leverage just sitting around waiting for one person stubborn enough to use it.