The AI Models That Can Already Hack Any Company | Mark Flores Martin

The AI Models That Can Already Hack Any Company | Mark Flores Martin

Mark Flores Martin says the AI models that haven't been publicly released yet, once their safety guardrails are stripped away, can already break into almost any company. He built his career as the AI guy on stage, then walked away from the label because he says most of what gets sold as AI is a thin front end bolted onto someone else's model. In this conversation he explains why he tells every client to remove any tool that isn't open source, why he treats sending company data through a vendor's servers as close to suicide, and why he calls that data the one asset a business can never hand over. He also gets into why some of the best engineers at the biggest AI labs are quietly walking away, and what he thinks they've seen that the rest of us haven't. Mark is the founder and CEO of XGENIA, a platform builders use to create games and backend systems locally instead of handing their data to a third party, which is exactly the practice he's warning you against.

How Operators Get Burned by Unlicensed Crypto Providers And What MiCA Changes | Dave Pulis

Today MiCA enforcement came into force across Europe - and approximately 800 operators with outdated VASP licenses lost the ability to process crypto payments. For iGaming operators who had been quietly running volume through unlicensed providers, the exposure is only becoming clear now. Dave Pulis co-founded ZBX Exchange in Malta in 2018 and spent seven years building compliance infrastructure before the market wanted it. He walks through what actually happens when a crypto provider disappears: funds locked, no recourse, AML liability that falls entirely on the operator, and explains why the fine structure under MiCA is retrospective, calculated against total volume processed while unlicensed. This conversation covers the three questions operators almost never ask when evaluating crypto processors, why "cheap" is a specific kind of expensive in this market, and how ZBX ended up on the same MiCA CASP license list as Coinbase, Circle, OKX, and Bybit. Dave has been in crypto since 2013 and was selling the first bitcoin fund in the world from a stockbroker desk. He has seen the full arc from Wild West to regulated infrastructure, and his read on where the next two years go is worth hearing.

Malta for Operators: Tax, Capital, and the Truth About Building Here | Jean-Michel Azzopardi and Sean Bianco

Malta's headline corporate tax rate is 5%. What's less advertised is that expat operators coming in from Dubai or Singapore often access that rate while the Maltese founders competing in the same market don't.   In this episode, Sean Bianco and Jean-Michel Azzopardi break down what the Malta business environment actually looks like from the inside: the government VC fund that's easier to access once you're already established, why angel investors on the island operate closer to vulture capital than venture capital, and how Malta is the only other destination that follows the Dubai model - a minister who sits down with entrepreneurs and asks what he needs to fix. Sean Bianco is the founder of GainChanger, a Malta-based growth agency he scaled from a two-person rat office to 50 people in two years. Jean-Michel Azzopardi is a blockchain architect and founder of a 380-member CEO network in crypto, iGaming, and fintech. If you're assessing Malta as a base for an established business, this is the clearest picture of the trade-offs you'll find.

Surfer SEO: How a Bootstrapped Exit Works When the Market Turns Against You | Michał Suski

Michał Suski built Surfer SEO from a side project in 2017 to $13M ARR — bootstrapped, without VC money, with under $1M in total marketing spend. By 2025, the company had been flat on revenue for two years, was carrying debt from a co-founder buyout, and sold to Positive Group in a SaaS market where multiples had dropped sharply from their 2021 peak. This is his first public conversation on the acquisition. In this episode, Michał walks through the internal dynamics that forced the sale: the co-founder disagreement that split the founding team, the debt the remaining partners took on to buy him out, and why they were eventually looking for an acquirer rather than a VC round. He breaks down what preparing a company for sale actually involves when you've run on gentleman agreements and have two aircraft on the balance sheet, why the due diligence process took over a year, and how you structure a deal that works for five founders who each have a different idea of what the company is worth. He also covers what he would have done differently — specifically, why selling three years earlier at the growth peak would have returned far more per share, and why they didn't. Michał Suski is one of the most recognised figures in the SEO software space, with Surfer used by 150,000 active users across 12,000 paying customers. This is not a success story told from a stage. It's a working account of what bootstrapped exits actually look like when circumstances force your hand.

Google Indexed You. AI Has No Idea You Exist. | Stephen Burns, Common Crawl

35% of the internet is blocking AI crawlers right now — most of it by accident, through default CDN settings that site owners never touched. Stephen Burns is the Web Intelligence Lead at Common Crawl Foundation, the nonprofit that crawls 2.3 billion pages per month and provides the training data used by GPT, Claude, Llama, and most major LLMs. He covers harmonic centrality - the algorithm that determines which sites get crawled and end up in AI training sets - and why it operates completely differently from Google's PageRank. Sites with JavaScript-heavy builds, slow load times, or CDN defaults that block AI bots may not exist as far as LLMs are concerned. This episode also covers the EU AI Act's August disclosure deadline, which will require AI companies to publish the top 1,000 domains they trained on - giving SEOs a new way to verify AI visibility for the first time. Common Crawl has been cited in over 10,000 academic research papers and its data underpins over 80% of the training tokens in GPT-3. Burns works at the intersection of web-scale data and search infrastructure - this is the part of the pipeline that most SEOs have never had access to before.