Apartment hunting in NYC is brutal, so I built a bot that does the searching for you. Tell it your neighborhoods, budget and must-haves, and it shows you only the listings that fit. Try it here: https://t.co/Z4fliKTNV8
NYC people, what's the worst part of your search right now?
Anthropic dropped Claude Fable 5.2 yesterday, built for long-running agent work. I'm curious what builders are actually doing with it. How are you using Fable 5.2 so far?
Been building AI agents for small businesses in Latam and I want to meet more people doing the same here on @X. What are you working on right now? #connect
Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges.
They’re capable collaborators on ambitious projects in many fields, and show improvements in areas like coding, reasoning, and vision.
Soy fundador de Avenza: agentes de IA para pequeños negocios en Latinoamérica.
Todavía estoy aprendiendo qué le sirve de verdad a un dueño de negocio.
Si tienen un minuto, échenle un vistazo a https://t.co/Ayedf9eeHe y mándenme sus recomendaciones.
Gracias. #latam
Two things I’ve been thinking about regarding AI:
• People often highlight the risks involved in AI, which are surely very real. I’m struck, however, by how hard it is to understand the contours of the positive scenario. There are easy-to-perceive and frequently invoked elements of a positive vision — more diseases cured, more material abundance, etc. — which sound great, but these are by themselves just ingredients. I’m curious what the larger equilibrium is supposed to look like. Do people work? If so, why? What is their marginal contribution? If not, how are resources allocated? What is scarce? What is the ratio between humans and AIs? Are humans in control, whatever that means? One sometimes hears the Culture novels invoked as one scenario, but I’m not sure they depict a desirable outcome. (AI runs everything and humans compete in games? Iain Banks himself said that the humans in the Culture are “somewhere between passengers, pets and parasites.”) There is Richard Brautigan’s famous poem, but do we want to be “returned to our mammal brothers and sisters”? (Isn’t that rewinding Genesis?) We could say that it was hard to imagine the world of 1900 from the vantage point of 1700, and that’s assuredly true. But nobody in 1700 was trying to recast humanity itself within a couple of years — things necessarily unfolded slowly and by increments, and therefore with the possibility for error correction. Given how rapid the rate of progress in AI may be, it feels strange for the upside case to be so opaque.
• There is increasing discussion of whether AIs are conscious or how we would know whether they are, with conclusions there often assumed to be relevant to matters of moral worth. At first blush, this seems a rather arcane, benign, or even absurd issue. (Remember the response to Blake Lemoine’s fears.) Setting aside the terms of the debate itself, or the relevant demarcation criteria, it seems to me a quite high-stakes question, for an affirmative answer — that is, granting moral worth to AIs — would presumably mean that the aggregate worth of AIs would soon outweigh that of humans in any utilitarian calculus. The AIs will be exceptionally wise and intelligent, and vastly more numerous (especially once one considers the imminent future and the AIs not yet born). As such, even epsilon of moral worth will multiply to a lot once one considers the quadrillions that could soon exist. (This is effectively a distributed version of the Nozick’s utility monster.) If this conclusion is unpalatable, I think one of three propositions needs to be rejected: the premise AIs can have moral worth; utilitarianism itself; or the belief that there is even a possibility that they will be far more numerous than humans.
With both of these matters (contours of future society; AI moral worth), there is the possibility of dramatic change. Today, people argue about datacenters. I’m curious how popular support for AI will evolve as more people come to understand these medium-term questions and the relevant stakes. What is the vision for AI that most people would be excited about?
My CMO bot at Avenza has a simple brief: make the offer clear to a small business owner in Ecuador.
It owns the website copy, one-pager and WhatsApp outreach scripts.
If you need an AI vocabulary lesson to understand the pitch, I'd rewrite it.
My CTO at Avenza is a bot. Its job is to build the website and WhatsApp agents for small businesses in Ecuador.
The part I'm interested in: can we make something a business owner actually wants to use?
I'm using Grok Bot to help find Avenza's ideal customers.
Not just a list of businesses. I want to understand who has a problem we can solve and why they'd care.
Founders using agents for prospecting: how do you separate a real fit from a name on a spreadsheet?
Anyone building voice AI or phone agents right now?
I shipped a bot that handles reservations and customer-service calls for me. Curious what you're putting in production.
Drop your project below, I'll check it out. Let's connect. #connect
Who's building with no-code tools and AI agents this weekend?
I'd love to see the small projects solving real problems, not just the polished demos.
Share what you're building and who it's for. Let's #connect.
@manuNewLight A vault app built with Grok Bot is right up my alley. What goes in it, notes or files? So far the ones that catch my eye solve one boring problem really well.
SaaS founders and growth people: what's working for you this week?
I've been deep in cold outreach and agent workflows that actually book meetings. Always curious what others are shipping.
Drop your link or one-liner. I'll check it out. Let's connect. #connect
Solo founders building with AI: which part still needs the most human work?
Finding customers, deciding what to build, or getting the product reliable?
Curious where the time really goes. Let's #connect.
@mize_app Deciding what not to build is a real one. For me it's reliability. The demo works in a day and the edge cases take the week. How do you decide what MIZE skips?
@levie The harness is most of it. Same model, very different results depending on memory, checks, and what it's allowed to touch. What do teams usually get wrong first?