Mag Mario Jembrih

@jmwind welcome to next level of Matrix

Joined a new AI-native company this week and it’s kind of wild how different it feels already. The laptop arrived, I logged in, and an agent basically took over from there. It set up my dev env, pulled repos, fixed dependency issues, got permissions approved, pointed me at the backlog, linked the architecture docs, and surfaced the Slack debates I actually needed to read before touching production. When I needed context on something, I asked the agent and it found the exact thread from months ago explaining why a decision was made, who owned it, the related Linear issues, and the PRs connected to it. I’ve only been here 3 days but it honestly feels like I’ve worked here for a year because the usual friction and scavenger hunt for context just isn’t there anymore. We should probably stop calling this “onboarding” and rename it to “mounting” because this feels a lot more like mounting a distributed filesystem called “institutional memory” than slowly getting drip-fed context over 6 months.

@sama @artificialguybr naw man Cursor + Opus 4.6 better. I use it when Codex is stuck.

codex is the best AI coding product and we want to make it easy to try. for the next 30 days, we are giving companies that want to try switching over two months of free codex usage.

@cursor_ai @shaoruu Lol i thought 6x speed less 2.5X costs is that what xAI gave them now? more infra to raise them costs ?

Fast mode for Claude Opus 4.7 is now available in Cursor! It's 2.5x the speed at 6x the cost. For most tasks, we recommend using the standard speed.

@heyshrutimishra @IrenaSophia Davos. It’s Europe. Why no Mistral mentioned? And India - nothing. How much bigger than EU? Only Shruti and Smriti.

Yann LeCun just said something at Davos that nobody is talking about. The man who built Meta's AI for 12 years. The godfather of deep learning. Said this on stage, in front of the world's most powerful people: "The best open source AI models right now come from China. Everybody in the research community is using Chinese models." Here's what makes this more uncomfortable. He said it in the same breath as warning that the US is making a catastrophic mistake. OpenAI — increasingly closed. Anthropic — never open. Google — more closed every year. Meta — changing direction. Meanwhile China's labs are publishing. Open sourcing. Sharing. And the global research community is downloading their models. LeCun's warning was blunt: "We are slowing down progress in the West because of this." The irony is brutal. America built the open internet. Linux runs the world. The entire software stack humanity depends on is open source. And now the country that invented openness is closing its most important technology. While China does the opposite. The next AI revolution won't be won by the country with the most money. It will be won by the country whose models researchers actually use. Right now that answer is changing.

@DrKristieLeong wait pistachios no lutein!?

🧠 Brain scans reveal: Higher lutein levels = smarter brain operation. People with more lutein don’t just have healthier brain structure — their brains complete the same cognitive tasks with less neural effort. Your brain on lutein: ✅ Thicker gray matter (esp. parahippocampal cortex — key for memory) ✅ Stronger white matter integrity ✅ Greater neural efficiency (less brain activation needed for the same performance) Best food sources (fat aids with absorption): 🥚 Egg yolks 🥬 Leafy greens (kale, spinach) 🥑 Avocado Brain scans don’t lie. Food is information — and your brain is always listening. Source: Zamroziewicz et al. (2016), Frontiers in Aging Neuroscience — Lutein linked to gray matter volume and crystallized intelligence via MRI. (Follow-up fMRI studies confirm the efficiency benefits.) #BrainHealth #BrainFood #Nutrition

@ivanfioravanti Cambrian Xplosion. Good.

Why in the Apple MLX ecosystem, is everyone building a new engine copying from others, instead of contributing and improving existing ones? 🤔 I the last months we have seen an explosions of new engines, all similar. 😢

@Michaelzsguo Totally! M1 Studio dedicated is already great for that.

@Mag_Jembrih That’s a lot. I’m thinking to use studio more as a server to only host llm, while still doing my normal stuff on my MacBook m1. Is that doable?

my local LLM community, give me one reason I shouldn't place the order.

@SullyOmarr i use only 4.6. for me 4.7 is worthless. too much text output.

opus 4.7 is worthless

@matthew_labosco Sources?

4. Practice brutal honesty (with yourself first). You can't relax into a lie. Your body knows when you're gaslighting yourself about: • How satisfied you actually are • What you really want • Whether you're aligned with your choices Humility = direct contact with reality.

High cortisol shaves 7 years off your life. It wrecks deep sleep, accelerates skin aging, and erases short-term memory. Here are 10 cheat codes to lower cortisol according to science: 1. Strict caffeine cutoff at noon

@ivanfioravanti yes Cursor Opus 4.6 said yesterday Todays session was a wild ride though - Azure Front Door geo-redirect rules, DNS transfer thru 3 portals, Google Search Console indexing, DjangoCMS Cert repair, USPTO trademark law deep dive, and Brevo-Wix email authentication all in 1 afternoon

Here on X we live in a bubble, people out there have no idea of what Hermes Agent is, or Local AI, or llamaccp. They just know ChatGPT, Claude or Gemini. Unbelievable to me, what we give for granted, it's totally unknown for the vast majority out there!

@yacineMTB Chinese are gonna make it happen!

AGI will run on consumer hardware by the way

@iam_elias1 They are onto something, economic model will certainly change as it did from end of 18th feudal production thru early capitalism to different capitalist models. So yeah, change, transformation, not destruction, eventually “creative destruction”, transformation thru desctruction.

Two economists just published a mathematical proof that AI will destroy the economy. Not might. Not could. Will — if nothing changes. The paper is called "The AI Layoff Trap." Published March 2, 2026. Wharton School, University of Pennsylvania. Boston University. Peer reviewed. Mathematically modeled. The conclusion is one sentence. "At the limit, firms automate their way to boundless productivity and zero demand." An economy that produces everything. And sells it to nobody. Here is how you get there. A company fires 500 workers and replaces them with AI. A competitor fires 700 to keep up. Another fires 1,000. Every company is behaving rationally. Every company is following the incentives correctly. And every company is building a trap for itself. Because the workers who were fired were also customers. When they lose their jobs faster than the economy can absorb them, they stop spending. Consumer demand falls. Companies respond by cutting costs — which means automating more workers — which means less spending — which means more falling demand — which means more automation. The loop has no natural exit. The researchers tested every proposed solution. Universal basic income. Capital income taxes. Worker equity participation. Upskilling programs. Corporate coordination agreements. Every single one failed in the model. The only intervention that worked: a Pigouvian automation tax — a per-task levy charged every time a company replaces a human with AI, forcing them to price in the demand they are destroying before they pull the trigger. No government has implemented this. No major economy is seriously discussing it. Meanwhile the numbers are already tracking the curve. 100,000 tech workers laid off in 2025. 92,000 more in the first months of 2026. Jack Dorsey fired half of Block's workforce and said publicly: "Within the next year, the majority of companies will reach the same conclusion." Nobody is doing anything wrong. Companies are following their incentives perfectly. That is exactly the problem. Rational behavior. At scale. Simultaneously. With no mechanism to stop it. Two economists built the math. The math leads to one place. Source: Falk & Tsoukalas · Wharton School + Boston University · arxiv.org/pdf/2603.20617

@ivanfioravanti local models should run. only for tab autocomplete it uses its own

Today I will try to use Cursor only. Yes you read it well. I want to focus on it. Personally I don't like the fact you can't run local models (or did I miss something?), but they improved things a lot and I want to try again the "experience".

It’s happening. It needed more than a century after Freud for a new method to emerge in Vienna.

@MissMi1973 True i went back to Opus 4.6 immediately. Opus 4.7 has a point but it just writes too much text - im not doing coding and all that text is simply not manageable.

What Anthropic has done in the past month: • Nerfed Opus 4.6 • Blocked third-party agentic tools from running through Pro/Max subscriptions • Forced users onto API billing • Released their worst model ever Opus 4.7 with adaptive thinking • Stripped Claude Code access from Pro users • Lied about it when caught Meanwhile, OpenAI's Codex team is relentlessly mocking them on the timeline. This is undoubtedly Anthropic's Super Bowl ad moment, only this time they're the target. A company that betrayed transparency and user trust deserves exactly what's coming.

@ivanfioravanti i developed a method with cursor and Opuw 4.6 simply cos it was better than local. now im gonna try the actual application of the method with local AI cos Cursor and Opus ar simply to pricey to bring it to market.

I see that 90% of the AI industry and users is focused on cloud AI, Local AI or Hybrid AI is still considered something not good enough. Why is this happening? 🤔

@ylecun @Ph_Aghion @erikbryn The truth is somewhere in between

Dario is wrong. He knows absolutely nothing about the effects of technological revolutions on the labor market. Don't listen to him, Sam, Yoshua, Geoff, or me on this topic. Listen to economists who have spent their career studying this, like @Ph_Aghion , @erikbryn , @DAcemogluMIT , @amcafee , @davidautor