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@RaoulGMI hard to argue with this honestly

AI is the single greatest innovation in human history. The only thing that comes close is splitting the atom. Every economic system we've ever built runs on the scarcity of knowledge. Lawyers, doctors, experts of every kind… they get paid because what they know is scarce. With AI, knowledge is now infinite. That breaks everything. Our entire economic model, as well as our understanding of what humans do, and what we're for. This is the Exponential Age. I've been mapping this out for years across @RealVision and GMI, piecing it together as it unfolded. Today I wrote a full breakdown that pulls it all into one place. Link below.

@yacineMTB lol where have you been

Have you guys heard about this chat GPT thing? It's like an AI. It's pretty good

@irentdumpsters six months ago me would not recognize current me, and that's the point

You have to shed your skin like a snake every six months. As a business owner or just someone trying to grow you can't keep thinking, acting, and living the same way forever. The version of you that got you here isn't the version that will get you where you want to go. If you look back six months and you have the same habits, the same mindset, and the same routines, you're probably not growing. Growth requires becoming uncomfortable. It means letting go of bad habits, raising your standards, learning new skills, and surrounding yourself with people who challenge you instead of keeping you comfortable. Every six months, you should be a different person than you were before. If you're not, I can guarantee you your competitors and peers are going to lap your ass over and over and over again.

@elonmusk lol the name is doing more work than the actual regulation will

Potential name for the AI industry regulatory authority: AI Associated Institute of America, Inc or AIAIAI, pronounced “ay yai yai”

@yacineMTB what's the cost looking like for you?

Fable: it's Not Worth The Cost

Efficiency is having better shortcuts. Scale is having better bottlenecks. Automation is having better failures to ignore.

The biggest "scaling hack" is to fix your broken account health, proxy setup, and rate limit issues first. You will never grow efficiently as long as you don't understand that your infrastructure problems directly block every automation goal you have.

Subscriptions actually worth paying for in 2026: → YouTube Premium (no ads, background play - honestly makes watching and listening way better) → Claude or ChatGPT Pro (if you're using AI every day, the free version just doesn't cut it) → Notion or a solid second brain tool (keeps your notes and plans from getting out of hand) → 1Password or NordPass (seriously, stop reusing passwords) → Macbook Pro (once you go Mac, it's tough to switch back) What would you add - especially if you've found something that actually saves you time or money 👇

@beffjezos gg

gg Fable

@kimmonismus waiting for Gemini 3.5 to drop before I make any moves

Okey friends. We got GPT-5.6, Fable 5, Grok 4.5 and Spark 1.1 Now Gemini 3.5 Pro is the only major release left. And after that, I'd say Opus 5 and Fable 5.1?

@IterIntellectus can't keep up with how fast it's moving honestly

it's genuinely insane how good AI models are getting

@kimmonismus the "no-person company" part is what gets me. that's not far off at all.

Holy moly: Zhipu AI founder (GLM-5.2) Tang Jie says we are on our clear way to AGI and "AI will begin to learn what the "self" is and what self-awareness means" In a purported internal letter, he argues that: - autonomous agent systems are moving toward the fully automated “no-person company”: thousands of agents working continuously, collaborating, evaluating results and allocating resources. - His more provocative claim: "AI training AI is already taking shape." (RSI) Models can increasingly write code, synthesize data and participate in training loops. Zhipu wants to push this further through self-play, synthetic-data factories and systems that can reconstruct their own code inside secure sandboxes, potentially generating new knowledge rather than simply recombining human output. Long-horizon tasks → autonomous agent societies → fully automated “no-person companies” → AI training AI → self-evolution → self-awareness → emotion → consciousness → ASI. Tang writes: “AI will begin to learn what the ‘self’ is and what self-awareness means. Beyond that, it may begin to touch human emotion. Farther still lies consciousness itself.” He believes memory, continual learning and self-evaluation - problems once thought to require an entirely new paradigm - are gradually being overcome. Models are already beginning to write code, synthesize their own data and participate in training future models. Zhipu now wants systems that can reconstruct their own code and generate knowledge through self-play. Is that the beginning of recursive self-improvement? Tang appears to believe so. His essay does not stop at more capable AI tools. It describes a direct progression from automated work to self-evolving intelligence, and eventually to machines that understand their own existence. In short: today's LLMs will lead to ASI via AGI, context and memory will be solved, and AI will become self-aware. I've rarely seen anyone write something so bullish. And if it weren't coming from the founder of GLM, I would dismiss it. But not only is he a true expert, but with GLM they've proven what they're capable of. h/t @AndrewCurran_ He brought the essay to my attention.

@Yuchenj_UW last sentence is the real takeaway here

Counterintuitive truth: AI has created more jobs than it has destroyed so far. Look at OpenAI and Anthropic. As AI becomes more capable, they keep hiring more engineers and sales. We’re aggressively hiring cracked people at Databricks too. It’s not AI replacing humans. It is humans with strong AI skill replacing humans without it.

The biggest "scaling hack" is to fix your broken account health, proxy setup, and rate limit issues first. You will never grow efficiently as long as you don't understand that your infrastructure problems directly block every automation goal you have.

@Dr_Singularity yeah the convergence is what gets me, not any single breakthrough

This is not normal progress anymore. AI is not just another technology. It is a force multiplier for every technology. Science, robotics, medicine, energy, space, all accelerating at the same time. We are watching the early construction of a completely new world.

@levie the unstructured data bottleneck has been the silent killer of enterprise productivity forever. glad it's finally getting solved.

The reason I have an unhealthy obsession with AI right now is because I've spent my entire professional life on essentially one problem: how do you increase the value of content in the enterprise. How do you secure it, how do you collaborate on it, how do you govern it, and how to integrate it across all your applications. But there's been one glaring issue that we've dealt with since the founding of Box. We could never really process information at scale in any real automated way. There have been many attempts at this problem (often in the search space), but nothing that really fundamentally transformed what you can do with enterprise knowledge. For years the primary kind of data that we could query, analyze, and process with computers was structured data. This meant anything you could shove into a database you could understand with computers - your CRM, ERP, product analytics, HR, and other data. But all of the unstructured data that powers our daily knowledge work - marketing assets, contracts, financial documents, medical research, engineering documentation - was only valuable when a human was operating on it. There was just simply no real way to apply automation at scale to any of this data, which meant all knowledge work was largely rate limited by our ability to process information ourselves, often manually. AI models have obviously dramatically changed this reality. And the past couple weeks perfectly highlight this incredible progress. GPT-5.6, Fable 5, Grok 4.5, Muse Spark 1.1, and a leading array of open weights models are all showing incredible advancements on working with unstructured data. The inherent broad intelligence, reasoning, math, and coding skills in these models, combined with deep domain expertise trained into them across finance, legal, healthcare, life sciences, and other critical fields, means that we're able to completely change what we can do with this unstructured data at scale. What this unlocks is the ability to ask insanely complex questions of your data that were never before possible, and let agents just run on for minutes or hours across these data sets to accelerate knowledge work. And it's not just about automating the work that we already do. While this is highly valuable, it wouldn't be particularly transformative. What's exciting is that you can now throw compute at unstructured data problems that wouldn't have been possible before. Analyze every risk on my contracts, do due diligence more deeply on a prospective investment or acquisition, look through all past client interactions in an industry to find best practices to replicate, comb through life sciences research or clinical trial data for new insights, and on and on. So that's why we're insanely excited about what AI Agents can now do with content on Box.

@elonmusk honestly can't come soon enough

AI+Optimus will enable universal excellent healthcare that is better than anyone receives today

@Daniel_Farinax been hearing this from multiple people now, hard to ignore

After hammering Grok 4.5 nonstop for the last 24 hours, here's the verdict: No other model comes close. Mythos is painfully slow by comparison, and I've executed every single idea in my head with zero friction. I'm fully comfortable cancelling my Claude Max subscription and keeping Grok Heavy instead. Not kidding. This feels fundamentally different. I was genuinely concerned when Claude announced they'd move Mythos to à la carte and pull it from Pro. Those worries are gone. Thanks, xAI. I've been calling this shift all year, but it landed faster than expected.

@gregisenberg the inbox-to-cards thing alone is worth the 49 mins

GPT 5.6 SOL IS HERE! How to run your personal + business life with GPT 5.6 Sol + Codex (full 49 min masterclass) We tested it for 30 days and the video it's the CLEAREST look at the FUTURE of work: Here's what's possible once you set it up: 1. Your inbox becomes cards every morning, each with a summary and a reply drafted in your own voice. Y 2. Your Slack, meeting notes, and company updates can turn into one daily feed with a clear next action. It learns what you care about over time and rewrites its own prompts to get sharper. 3. You can give your agent its own email address, so your other tools and even your team's Slack bot email it directly and it just handles things. 4. You can have it watch you do a task once and turn it into a skill it repeats forever. 5. You can set a long goal and walk away. You can have it run for 20 hours straight, and fine-tune your own models, something that was out of reach for non-engineers 12 months ago. How to start: Open Codex, give it access to your computer, and ask it to suggest things it could do for you based on how you already work. Full episode on @startupideaspod (thanks @danshipper for sharing your entire workflow and review of GPT 5.6) Start with one boring task, get it working, and build from there. You'll learn exactly how to make something similar. GPT 5.6 Sol is impressive. Sol (according to openAI benchmarks) is the best coding model out right now. It set a new state of the art on Terminal-Bench 2.1 at 88.8%, and its "ultra mode" hits 91.9%, beating Claude Opus 4.8, Fable 5, and even Mythos 5 this masterclass is 100% free, like always. For more @startupideaspod Watch