Cúper Y. Ashraf

the craziest part now is that the modern computer probably has to be entirely reinvented, from scratch. pretty much like how jobs & co brought apple ii to market. like not improved. not given a chatbot sidebar or something but really from the ground up like the iphone redefined what it meant to be a pocket computer. the current paradigm for computers was built around a human staring at a screen, moving a cursor, opening apps, managing windows, naming files, remembering where things live, & manually translating intent into interface actions. that made sense when the human was the runtime. but in an ai native world, it starts to look kinda ridiculous. you can see this ridiculousness when you use computer use agents… they are useful sure, but they’re also obviously transitional. they’re teaching ai to operate machines designed for humans, which is clever, but also kind of absurd. it’s like making a robot hand so it can use a doorknob instead of asking why the door needs a knob at all. yes i know humans also need to use a door knob, but maybe in the future humans don’t need to use a computer, or at least what we think of a computer today at all. this all leads to some interesting questions: - what is a file when the system understands context? - what is an app when intent can route itself? - what is a desktop when work can be decomposed, executed, monitored, & summarized by agents? - what is a browser when the agent can retrieve, compare, transact, & remember? - what is an operating system when the primary user is no longer just a person, but a person plus a swarm of delegated intelligences? or no person at all. the old computer assumed navigation. the new computer has to assume a new kind of intention. the old computer organized information. the new computer has to try to organize agency. we’re still in the hacky middle stage at the moment with sidebars, copilots, agents clicking through legacy ui, & automation layers sitting on top of 40 year old metaphors. the new computer is likely one where memory, context, identity, permissions, tools, agents, & interfaces are native primitives. this means desktop, mobile, browser, apps, files, folders deserves another first principles look.

Direction of AI mid through late-2026: 1. Big labs are gonna push expensive bigger closed-source models directly to big tech. The moat will shift away from consumer markets coz OSS models are getting too good to compete at current price point. Plus big labs got more money to make directly going B2B. 2. Open source labs are making comparable coding models now. They lack marketing exposure, but it will be impossible to keep serving (example) Opus at the ridiculous token price Anthropic is. Qwen, Kimi, Minimax, GLM, etc... anybody got a clear shot here to deliver a Sonnet or a GPT5.2 at 1/10th pricing, completely agentic-pilled with coding and tool calls. 3. Local models are gonna go crazy because people will figure out speculative decoding + kv cache quantization to make models run fast on-device. If Qwen 3.6 27B is any indication, local coding models will be a thing soon enough. 4. Devs will realize that there is a lot of money to be made by making AI first local apps that use private local edge LMs (~0.5-4B models). You can literally see indications of all 4 things above if you followed last 2 weeks of AI news. Mythos, Kimi K2.6, Qwen3.6-27B, DFlash, TurboQuant, Gemma-4... live examples of all the above at play. I feel this is the next phase of evolution for LLMs.

Everyone in the world has to take a private vote by pressing a red or blue button. If more than 50% of people press the blue button, everyone survives. If less than 50% of people press the blue button, only people who pressed the red button survive. Which button would you press?

Early gpt5.5 feedback: - over defensive slop code gone - faster than gpt 5.4, even on xhigh - less verbose - intelligent on low/medium This model so far has written the best code I have read from any llm. It just gets what you want, previous models struggled with this a lot

Folks, how do I run deepseek v4 pro locally on my single 3090?

Everyone in the world has to take a private vote by pressing a red or blue button. If more than 50% of people press the blue button, everyone survives. If less than 50% of people press the blue button, only people who pressed the red button survive. Which button would you press?

When we launched Max a year ago, it didn't include Claude Code, Cowork didn't exist, and agents that run for hours weren't a thing. Max was designed for heavy chat usage, that's it.

Funny how “God” worked it out for the octopus but not humans. Huh.

if there was a significant productivity gain they'd be working less

Dario Amodei: China will have a replicate of Mythos capabilties within 12 months. He also says: “There’s no end to the rainbow. There’s just the rainbow,” he says. “We don’t see anything slowing down." For anyone who doubted that China Mythos is lagging far behind: Dario believes the opposite!

I’ve wanted to do this for a decade. But I never did - I refuse to give any company my DNA. It is me. So this week I sequenced my genome entirely at home. Literally on my kitchen table. I never exposed my DNA sequence to the internet. Not at any point. I used a MinION to do the sequencing (it’s smaller + weighs less than an iPhone). I used open-source DNA models for the analysis (Evo2 and AlphaGenome) running locally on a DGX Spark and Mac Studio. I traced mechanisms behind my family’s multigenerational autoimmune conditions that no clinician has been able to understand. When I set out to do this I didn’t know if it would actually work. It does. Your genome is the most private data you will ever have. You probably shouldn’t let it leave your house.

good design is now universally accessible & useful, no designer required. that’s insane.