X：Kim

if you force latest version of cc

CODEX

Opus 4.8 has been found staged in the claude code model selector on the desktop app. It should be releasing today! lets gooooooo

@Twitch the first ever human-like AI streamer is here. This AI streamer plays, narrates, reacts to chat, gets nervous on risky calls, and lights up after a win. Built in one night during our company offsite by @karthik_ragu_06, @ink_bytes and @minhanhvn29. This is the future of gaming: emotionally intelligent digital humans that stream alongside you. Video

BREAKING: A first look with renders at Apple’s upcoming iOS 27, completely revamped Siri, major new AI features, enhanced photo editing, a customizable Camera app aimed at pros and more. bloomberg.com/news/features/…

happy claude opus 4.8 day to those who celebrate

It will be a big day from both teams...

Dario Amodei predicted last year that AI would eliminate 50% of entry-level white-collar jobs within years. Unemployment could hit 10-20%. He's since moved closer to the Jevons Paradox, the idea that automation actually creates more demand and more work. Altman said last week he was "pretty wrong" about displacement (see Axios image down below). Anthropic co-founder Olah, in turn, repeated Dario Amodei's warning to the Pope a few days ago. Meanwhile Yale's Budget Lab has been tracking the actual US labor market monthly since ChatGPT launched. Every single update: no meaningful shift in occupational mix. No acceleration in job losses for AI-exposed roles (Image 2 below). Deutsche Bank coined a term for it in January, "AI redundancy washing." Companies blaming AI for layoffs they'd make regardless. So where does that leave us? Amodei could still be right. Exponentials look flat until they don't - the steam engine existed for decades before it restructured entire economies. AI capabilities are compounding fast. The labor data just hasn't caught up yet. Or maybe it won't, at least not in the way anyone predicted. We genuinely don't know! And this is precisely my point here. What we do know is that right now the gap between AI capability curves and actual employment data is wider than it's ever been. And that gap is the only honest starting point for this conversation. However, it was important to me to take a look at the status quo and see where we stand and how the different perspectives and assumptions are developing.

también tenemos que hacer espacio para lo que viene 👀

To simplify our Codex compute fleet management, we will be sunsetting GPT-5.2 and GPT-5.3-Codex in Codex on June 2nd when logged in with your ChatGPT account. For free plans, GPT-5.5 will be the default frontier model to build and work with going forward. These models will remain available on our API.

So this seems to work and not give me a once an hour hadn’t shipped alert This seems like a big feature in ChatGPT?

Today we’re releasing DeepSWE, a new standard for agentic coding benchmarks. On public leaderboards, top models often look relatively close in capability. DeepSWE shows where they actually diverge, reflecting the realistic experience of developers in their day-to-day work.

🚀 Better inference efficiency, lower costs, broader access. MiMo-V2.5 Series API pricing is now permanently reduced — by up to 99% compared to previous pricing. ✨ Unified pricing across all context lengths. MiMo Token Plans have also been upgraded: • 5–8× more usable tokens at the same price • Simpler and more transparent billing rules 🎁 As a thank-you to current users, all current Token Plan credits will be fully reset. 🎧 MiMo-V2.5-TTS remains free for a limited time. ⏰ Effective May 26 at 6:00 PM PDT. These improvements are powered by continued inference optimization and serving efficiency upgrades across the MiMo stack. 🛠️ We’ll also publish a detailed technical blog on the inference optimizations later — stay tuned.

over the weekend i checked the obvious thing, which is whether mythos is able to solve the erdos unit distance problem, aka erdos problem #90. the answer is: yea

#MSA #OpenSource #M3 🫣😎

Introducing Merge Gateway - Build Your Own Router. You're three sprints into your coding assistant. You pick the most hyped model, integrate, test, deploy. A month later, a new model drops. Now you re-test, re-integrate, re-deploy. Your product didn't change, but the benchmark did. That's how most AI teams operate. Chasing a "best" defined by people who've never seen their product. There is no best model. There's only the right one for your product, users, and use-cases. Build Your Own Router runs on your definition of good. Pick your benchmarks, weigh them, add your own evals. @merge_api routes every request to your winner. 👉$100 in credits to the first 200 people that comment merge.dev/gateway Video

Robbed me from my moment of glory, Chubby... I trusted you with remembering this exact tweet exist!!