MZ e/acc 🪐

@scaling01 Luna max/EH is really good, give it a try.

aaaaaand cancel sub has been fun while it lasted

We have a white crime problem in America.

America has a serious problem with ‘white crime’.

RT @ns123abc: Scam Altman strikes again

I removed 423 GB from GLM‑5.2 without changing the model. 1,403 GB → 980 GB. 753B weights. Bit for bit exact. No quantization or retraining. The weights remain compressed in VRAM instead of rebuilding the full model first. Full writeup and repo in the next post.

@Alezander907 Sounds like we should lower our cached price

@lukas_m_ziegler try Dyson Shere Program, great logistics sim.

we must normalize binge-playing factorio on the weekends

introducing dither-kit a library of gorgeous dithered charts built from the ground up, no dependencies, they're built on top of a tiny <canvas> engine install it today at tripwire.sh/dither-kit

@grimcodes This was exactly what i was searching for. I'll implement it on my Biotech dashboard. THANK YOU.

US Gov is deliberately classifying Indian criminals with names like Patel, Sharma & Singh as 'White' to hide immigrant crime rates and make actual Whites look worse

This has been obvious to anyone who studies history and previous technological revolutions. We abstract lower level problems away and move up the stack to new problems. That creates new complexity and a wider variety of jobs. Complexity breeds more complexity. The work is infinite because the problems are infinite. No machine, human, or man and machine hybrid can solve them all. AI is not magic and we need to stop thinking about it that way. The stack of problems is infinite and never ending.

@ar0cket1 let's see 3.5 pro, Sundar said June... hopefully the wait is worth it but i have low expectations with google atm.

this graph is hilarious, gemini is in the dumps

GPT 5.6 luna XH is impressively consistent, it's great to see the price/quality gap getting close between SOTA Open-Source models and closed ones. btw where's Gemini 3.5 pro?

Apple just sued OpenAI, and the wildest part is how they got caught: one candidate screenshotted confidential Apple files on his Apple work laptop hours before his OpenAI interview. Apple reads its own server logs. The recruiting pipeline generated its own evidence trail. The complaint says OpenAI's hardware chief Tang Tan, a 24-year Apple veteran, directed candidates still employed at Apple to bring "actual parts" (batteries, logic boards) to interviews for show and tell sessions. One candidate was surprised, saying he didn't even know you could take those out of the office. Apple also alleges Tan circulated an internal Apple offboarding document to coach new hires on dodging exit security checks, and that a departing engineer kept his Apple laptop, found a bug that still gave him access to Apple's cloud storage, and downloaded dozens of confidential hardware files after joining OpenAI. Then the supplier: OpenAI allegedly got one of Apple's manufacturing partners to demonstrate a proprietary metal finishing technique by letting the partner believe Apple had approved it. Over 400 former Apple employees now work at OpenAI. Apple says it flagged all of this to OpenAI in February and never got a response. Five months later, it filed. The ask reveals the strategy. Apple wants an injunction barring OpenAI from using the secrets, the return of every file, and full discovery into io, right as OpenAI preps its first device launch and an IPO. If a judge grants it, OpenAI may have to prove the device was built clean, component by component, before it ships. The device was supposed to run on the world's best hardware talent. Now its bill of materials is evidence.

And if you talk about it, you’re “racist.”

🚨OPENAI ALLEGEDLY STOLE APPLE’S ENTIRE PLAYBOOK “Hundreds of billions of dollars, decades of work” Hardware Engineering - circuit designs, component architecture, power management - unreleased products guarded by internal codenames - AI/ML integration for hardware - EMI engineering + testing methods Manufacturing Secrets - proprietary processes + custom machinery - equipment Apple builds and installs IN supplier factories - proprietary metal alloys + finishing techniques - DFM (Design for Manufacturability) expertise Component Technologies - power chips, battery systems, displays, acoustics, touch - identities of specialized sub-suppliers - exact specs Apple demands from components Testing Data - failure analyses, lifecycle simulations - “negative know-how” — everything Apple tried that DIDN’T work Supply Chain - supplier contracts, allocation strategies - global logistics coordination - systems-level integration ALL GONE 💀

We’re releasing new Qwen3.6 quants that run 2.5× faster on your GPU. Qwen3.6-27B NVFP4 runs on 24GB VRAM. 35B-A3B can hit 17,561 tok/s (B200). We also improved accuracy, tool calling, agent use, and looping. Guide: #nvfp4" target="_blank" rel="nofollow noopener">unsloth.ai/docs/models/qw… Qwen3.6 NVFP4: huggingface.co/collections/un…

Zuckerberg owns Facebook — 3.1 billion users Instagram — 3 billion users WhatsApp — 3 billion users Threads — 400 million users X has 650 million users he just broke a 3 year silence on the smallest platform he doesn't own to announce his new AI think about that

Once typical of banana republics, such tricks are now used by the EU to pass surveillance laws.

@ThomasAlxDmy You don’t seem to understand that SpaceX will be worth more than the rest of Earth if we accomplish our goals