Alex Colombo

Building: & Westchester AI
Husband & Father of 2

[Alex Colombo @AlexColomboNYC]

ShowFloor AI is officially live.

On Day 1, AG Williams (a top contractor here in Westchester, NY) adopted the software.

The Result: They generated a photorealistic preview during a client meeting and closed a $15,000 contract on the spot.

[Alex Colombo @AlexColomboNYC]

@YashHustle_22 Play world of Warcraft

[Alex Colombo @AlexColomboNYC]

Yes, I’ve built https://t.co/49z7FTZFqe - but it hasn’t been quick or easy. I’ve been at it for well over a year & 1/2.

It got much easier as the models improved, and my knowledge along with it. I started with very little technical knowledge, and just asking questions the entire way until I understood what I can.

It is legitimate, it works great, and the 2 users who have closed deals at $33k & $15k are real actual users.

So it works, but I don’t know anything about the next steps to really get it out there. Learning that part as I go too now.

[Alex Colombo @AlexColomboNYC]

@ArenaNet Looking forward to this being the most PvP focused Guild Wars to date! ⚔️

[Alex Colombo @AlexColomboNYC]

@JoveGaming @towelthetank Yup, been here since GW1, and I was extremely disappointed with how the PvP for GW2 turned out, especially the realm vers realm as well.

[Alex Colombo @AlexColomboNYC]

@towelthetank I’m hoping for a specific focus on PvP and Realm V Realm more than ever. I hope it’s the main focus.

[Alex Colombo @AlexColomboNYC]

@lucynavt The morning hopium, they wouldn’t do us wrong like this

[Alex Colombo @AlexColomboNYC]

Funny you mention that. Had the same feeling yesterday about it, but it wasn’t from an obsidian vault or crazy setup.

It was reminding me for days to take care of some basic paperwork that had to be done and without it I 110% would have forgotten about it as usual.

Hermes didn’t let it go, and reminded me for multiple days until I finally got it done.

You can have phone reminders etc, but with ADHD it’s hard to explain how you’re your own worst enemy and will just ignore your reminders.

[Chubby♨️ @kimmonismus]

I believe the majority still doesn't understand the momentous threshold humanity is facing.

Anthropic itself states quite clearly that even if development ceased entirely, if all development were frozen, they would still witness massive societal changes:

"Even if model capabilities were frozen at today’s level, we would expect major changes to occur in the world. (...) And we are still early in the diffusion of today’s models into the wider economy, where a 100-person company can increasingly do the work of a 1,000-person one, because each employee will sit atop a pyramid of agents."

But there's no question of stagnation. Anthropic itself still maintains that development has exceeded its own internal assumptions. Take that statement seriously for a second and consider it. Although Anthropic models internally and assumes exponential development, even this trajectory lags behind actual development, which is even faster.

"It's happening faster than we thought, and the implications deserve greater attention."

and

"The rate at which AI models improve is accelerating. The length of tasks that they can reliably complete on their own has been doubling roughly every four months, up from an earlier trend of doubling every seven months. In March 2024, Claude Opus 3 could complete software tasks that take humans about four minutes to complete. A year later, Claude Sonnet 3.7 managed tasks that took about an hour and a half. A year after that, Claude Opus 4.6 managed 12-hour tasks.1 If this trend holds, tasks that take a skilled person days could come into range this year.

So again: there can be no question of standing still.

The models are not only getting better, they can also work autonomously for longer. Certainly numerous breakthroughs are still needed, context window is still a problem. But the most likely direction is that the models themselves will find the solutions to the underlying problems. This opens up unforeseen possibilities, and Demis Hassabi's statement that the golden age of science is not a dream, not a utopia, but a purposeful reality, is now confirmed.

And finally, it's not just Anthropic, but also OpenAI, that sees this development, considers it feasible, and is moving forward.

Most people don't know what's coming. But one thing is certain: it's coming even faster than expected. And it will be even bigger.

Myth was just the beginning.

[Anthropic @AnthropicAI]

Our internal data shows Claude is accelerating AI development—a possible path to recursive self-improvement, or AI autonomously building a more capable successor.

It’s happening faster than we thought, and the implications deserve greater attention. https://t.co/OVVPJO7VQx

[Alex Colombo @AlexColomboNYC]

@YaBoiWiilly I am so heartbroken, it could have and should have been an incredible game and successor to DAoC. Such a shame.

They should open source this garbage and let the community finish it properly

[Alex Colombo @AlexColomboNYC]

@Kanon_XO @UnchainedGame I’m so heartbroken, should have never been this way.

[Alex Colombo @AlexColomboNYC]

@yuhasbeentaken @businessbarista I like doing this from time to time, absolutely worth the look and if it’s over your head it will explain it for you.

[Alex Colombo @AlexColomboNYC]

@AIandDesign @TrishaCode You noticed that too, eh?

[Alex Colombo @AlexColomboNYC]

Bookmarking tweets and having Hermes agent review them every few days for ideas we can learn from, or iterate on for our own workflows and processes has been essential.

[GREG ISENBERG @gregisenberg]

Bookmarking tweets and not going back to them has become an epidemic

[Alex Colombo @AlexColomboNYC]

@BayernHahn @LexnLin It’s really anxiety inducing I don’t enjoy that aspect

[Tibo @thsottiaux]

You can just codex ... a farm
https://t.co/pwmS7IvqbH

[Alex Colombo @AlexColomboNYC]

@ricardostmalo @thsottiaux @CodexReleases Same, even in a fresh thread with no imagegen request or discussion

[Alex Colombo @AlexColomboNYC]

@zombyrra Getting it without even asking for imagegen currently in a fresh thread

[Alex Colombo @AlexColomboNYC]

@timelesstaco Bricking all of my sessions lol

[Tim Soulo 🇺🇦 @timsoulo]

In the last 6 months at @Ahrefs, we analyzed over 1 billion data points across 14 studies. Here's what we learned about AI search optimization:

1) "Best X" blog listicles are the single most prominent content format cited by AI chatbots. They make up 43.8% of all page types cited by ChatGPT specifically.

2) 67% of ChatGPT's top 1,000 citations come from sources marketers can't influence: Wikipedia (29.7%), homepages (23.8%), app stores (6.6%). Only 32.3% are influenceable content like educational pages, reviews, news, and blog posts.

3) 28.3% of ChatGPT's most-cited pages have zero Google organic visibility. These pages get cited repeatedly by ChatGPT despite not ranking in Google at all. A completely separate discovery layer.

4) ChatGPT only cites about 50% of the URLs it retrieves. It fetches dozens of pages per query but uses half as background context without attribution. This means that being retrieved and being cited are very different things.

5) Adding schema markup had zero meaningful impact on AI citations. AI Overviews actually dipped −4.6%, while AI Mode (+2.4%) and ChatGPT (+2.2%) showed changes indistinguishable from zero.

6) YouTube mentions have the highest correlation (0.737) with AI brand visibility out of all the factors we studied (including all the conventional SEO metrics like backlinks, page count, DR, etc). This held true for both Google-owned and OpenAI products.

7) AI Overviews reduce clicks to the #1 result by 58%. That’s up from 34.5% just 10 months earlier. The trend is accelerating.

8) 99.9% of AI Overviews appear on informational intent queries. Transactional, navigational, and local searches are almost entirely AIO-free. Shopping triggers AIOs just 3.2% of the time.

9) For a given search query, Google’s AI Mode and AI Overviews reach the same conclusions 86% of the time — but cite almost entirely different sources (only 13.7% citation overlap).

10) AI Overviews change every 2.15 days on average, with 70% of content differing between consecutive observations. But semantic similarity stays at 0.95. The words, sources, and entities constantly shuffle, but the actual meaning barely moves.