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ML6

Accelerate Intelligence. Together. We partner with leading organizations to achieve the extraordinary by developing exceptional people & cutting-edge tech.

11/06/2026

Anthropic just released Claude Fable 5 and Claude Mythos 5, both built on the same underlying model. Cristóbal Sendín, Machine Learning Engineer: "𝗙𝗮𝗯𝗹𝗲 𝟱 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵𝗲𝘀 𝘁𝗮𝘀𝗸𝘀 𝘄𝗶𝘁𝗵 𝗴𝗿𝗲𝗮𝘁𝗲𝗿 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝗻𝗱 𝗱𝗲𝗽𝘁𝗵 𝘁𝗵𝗮𝗻 𝗽𝗿𝗲𝘃𝗶𝗼𝘂𝘀 𝗶𝘁𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀, 𝗺𝗮𝗿𝗸𝗶𝗻𝗴 𝗮 𝘀𝗶𝗴𝗻𝗶𝗳𝗶𝗰𝗮𝗻𝘁 𝗹𝗲𝗮𝗽 𝗳𝗼𝗿𝘄𝗮𝗿𝗱 𝗳𝗼𝗿 𝗵𝗶𝗴𝗵-𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹, 𝗰𝗼𝗱𝗲𝗯𝗮𝘀𝗲-𝘄𝗶𝗱𝗲 𝘁𝗮𝘀𝗸𝘀."

We've tested it and here are our first insights:
💡 Fable 5 delivers a clear capability jump over Opus http://4.8 for complex, high-stakes work such as deep codebase reviews, security-sensitive implementation, and long-context reasoning.
💡 It is slower, more expensive, and not justified for routine tasks.
💡 ML6’s internal test showed that Fable 5 found release-blocking issues that Opus http://4.8 missed, though at roughly 3x the time and http://3.4x the cost.
💡 The main adoption risk is Anthropic’s mandatory 30-day data retention policy, with no enterprise zero-retention option.
💡 Enterprise teams should therefore use Fable 5 selectively, keep cheaper models for standard work, and evaluate governance, safeguards, orchestration, and budget controls before adoption.

Our 5 recommendations 👉 https://hubs.la/Q04l2Lpd0

Want to know more? Reach out!

10/06/2026

𝗧𝗵𝗲 𝗻𝘂𝗺𝗯𝗲𝗿𝘀 𝗮𝗿𝗲 𝗶𝗻. 📊
21 new joiners.
21 fresh perspectives.
21 new challengers that push us to think bigger.

At ML6, great AI starts with great people. That's why we're excited to welcome 21 new colleagues.
Here's to asking better questions, solving tougher challenges, and building the future of applied AI together.

𝗪𝗲𝗹𝗰𝗼𝗺𝗲!

09/06/2026

𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲 𝗶𝘀 𝘁𝗮𝗹𝗸𝗶𝗻𝗴 𝗮𝗯𝗼𝘂𝘁 𝗔𝗜 𝗰𝗼𝗱𝗶𝗻𝗴 𝘁𝗼𝗼𝗹𝘀. 𝗔𝗹𝗺𝗼𝘀𝘁 𝗻𝗼𝗯𝗼𝗱𝘆 𝗶𝘀 𝘁𝗮𝗹𝗸𝗶𝗻𝗴 𝗮𝗯𝗼𝘂𝘁 𝘄𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝗮𝗳𝘁𝗲𝗿 𝘁𝗵𝗲 𝗰𝗼𝗱𝗲 𝗴𝗲𝘁𝘀 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱.
That's where most enterprise AI initiatives run into reality.

The challenge isn't whether AI can produce useful code. It can.

The challenge is whether your engineering organization can absorb that output 𝘀𝗮𝗳𝗲𝗹𝘆, 𝗿𝗲𝗽𝗲𝗮𝘁𝗲𝗱𝗹𝘆, and 𝗮𝘁 𝘀𝗰𝗮𝗹𝗲. Because enterprises aren't collections of individual developers. They're systems of interdependent teams, review processes, security controls, architecture standards, compliance requirements, and legacy platforms.

That's why "vibe coding" doesn't scale.

In this blog, Maxime argues that AI-native engineering isn't a tooling upgrade - it's an operating model shift. She explores:
→ Why productivity gains don't automatically translate into delivery gains
→ The organizational bottlenecks that slow AI adoption more than model limitations
→ The four dimensions that need to evolve together: operating model, pilots, foundations, and people
→ Why AI can't fix a broken architecture - and may actually amplify its problems

The organizations that get this right won't just ship more code. They'll build better systems for building software.

Read more: https://hubs.la/Q04kChrz0

08/06/2026

Most AI-generated prototypes have the same fate: They look great in a demo and never make it to production.

At ML6, we've learned that 𝗔𝗜-𝗻𝗮𝘁𝗶𝘃𝗲 𝗽𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗶𝗻𝗴 isn't just about generating screens faster. It's about making design decisions that keep the path to production open from day one.

In this clip, Nick Limère shares a few practical lessons we've picked up along the way.

🎥 Watch the full webinar recording: https://hubs.la/Q04ksgcK0

04/06/2026

𝗔 𝗵𝗮𝗻𝗱 𝗫-𝗿𝗮𝘆 𝗹𝗼𝗼𝗸𝘀 𝘀𝗶𝗺𝗽𝗹𝗲. 𝗧𝗲𝗮𝗰𝗵𝗶𝗻𝗴 𝗔𝗜 𝘁𝗼 𝗿𝗲𝗮𝗱 𝗼𝗻𝗲 𝗶𝘀𝗻'𝘁.
During ML6's Christmas Projects Week, a team of four set out to build an end-to-end pipeline for scoring erosive hand osteoarthritis from X-rays, detecting each finger joint, scoring it against the clinical GUSS scale, and producing heatmaps showing where the model focused its attention.

One week later, the best model reached a fivefold improvement over the baseline on the metric that carries clinical meaning, not a deployable system, but a credible signal that the pipeline is learning something real about the disease.

The blog post is less about the final numbers and more about the engineering decisions behind them: the shortcuts the team deliberately avoided, the baselines that kept the evaluation honest, and the evaluation protocol anchored in how radiologists actually work.

Because in medical AI, "it works" is only the start of the conversation.

Read more: https://hubs.la/Q04k1W900

03/06/2026

Most AI never makes it to production. It gets demoed. Tweaked. Benchmarked. Then it stalls.

At ML6, we work on the other side. The messy side. The enterprise side.

The “this has to actually work” side.
• Production first: we don’t leave until AI runs in real systems
• Real impact: measurable, visible, tied to business value
• Real environments: complex enterprise constraints, not clean lab setups

Because in enterprise AI, the winners won’t be the ones with the best model. They’ll be the ones who can 𝘀𝗵𝗶𝗽 𝗶𝘁.

So the question is simple:
𝗗𝗼 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝘁𝗼 𝘁𝗮𝗹𝗸 𝗮𝗯𝗼𝘂𝘁 𝗔𝗜? 𝗢𝗿 𝗿𝗲𝗮𝗹𝗹𝘆 𝗗𝗢 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗔𝗜?

02/06/2026

𝗕𝘂𝗶𝗹𝗱 𝘆𝗼𝘂𝗿 𝗔𝗜 𝗧𝗮𝘀𝗸𝗳𝗼𝗿𝗰𝗲.
𝗦𝗰𝗮𝗹𝗲 𝘄𝗶𝘁𝗵 𝗮𝗻 𝗔𝗜-𝗻𝗮𝘁𝗶𝘃𝗲 𝘄𝗮𝘆 𝗼𝗳 𝘄𝗼𝗿𝗸𝗶𝗻𝗴.

This June, the ML6 team will be at two flagship Google Cloud events - connecting with enterprise leaders turning AI ambition into production reality.

From agentic AI and enterprise tooling to the future of work and real-world deployment challenges - let’s talk about what it actually takes to scale AI.

Join us at:

𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗦𝘂𝗺𝗺𝗶𝘁 𝗗𝗔𝗖𝗛
📅 June 9–10
📍 Frankfurt
🔗 Secure your pass: https://hubs.la/Q04jJM5G0

Google 𝗖𝗹𝗼𝘂𝗱 𝗔𝗜 𝗟𝗶𝘃𝗲 Amsterdam
📅 June 11
📍 Zaandam/Amsterdam
🔗 Secure your pass: https://hubs.la/Q04jJBct0

And at this year’s edition, Uri Ilan will join us on stage to share how we built the AI Tumor Board — an application supporting clinical decision-making — and what it takes to democratize medical AI at scale.

01/06/2026

𝗥𝗲𝘁𝗮𝗶𝗹 𝗔𝗜 𝗵𝗮𝘀 𝗺𝗼𝘃𝗲𝗱 𝗽𝗮𝘀𝘁 𝘁𝗵𝗲 𝗽𝗶𝗹𝗼𝘁 𝗽𝗵𝗮𝘀𝗲.
𝗡𝗼𝘄 𝗶𝘁’𝘀 𝗮𝗯𝗼𝘂𝘁 𝘄𝗵𝗼 𝗰𝗮𝗻 𝗱𝗲𝗽𝗹𝗼𝘆 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗲 — 𝗳𝗮𝘀𝘁𝗲𝘀𝘁.

Heading to Shoptalk Europe in Barcelona? Let’s connect in person.

We’ll be there to share how leading retailers and FMCG brands are already turning AI into measurable value - from conversational commerce and demand forecasting to supply chain optimization and agentic AI systems running in production.

If you’re exploring how AI can create real competitive advantage in retail, let’s connect at Shoptalk.
𝗦𝗰𝗵𝗲𝗱𝘂𝗹𝗲 𝗮 𝟭:𝟭 𝘄𝗶𝘁𝗵 𝗼𝘂𝗿 𝘁𝗲𝗮𝗺 𝗵𝗲𝗿𝗲: https://hubs.la/Q04jrLkn0

See you in Barcelona!

29/05/2026

𝗖𝗿𝗲𝗮𝘁𝗲 𝗿𝗲𝗮𝗹 𝗶𝗺𝗽𝗮𝗰𝘁 𝗮𝗰𝗿𝗼𝘀𝘀 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀. 𝗕𝘂𝗶𝗹𝗱 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀, 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 𝗮𝗻𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀. 𝗜𝘁 𝗱𝗼𝗲𝘀𝗻'𝘁 𝘀𝘁𝗼𝗽 𝗮𝘁 𝗼𝗻𝗲.
Join ML6 and grow faster as an engineer by solving diverse, high-stakes challenges for leading clients worldwide.

From day one, you’re the expert. You’ll own your work end-to-end, take accountability for real-world impact, and see your solutions deployed at leading enterprise clients across industries.

It’s hands-on, fast-paced, and client-driven — an environment where you don’t just sharpen your technical skills, but also your ability to think, decide, and deliver.

𝗝𝗼𝗶𝗻 𝗼𝘂𝗿 𝘁𝗲𝗮𝗺: https://hubs.la/Q04jkXsN0

26/05/2026

What starts as a school can become the heart of an entire community.

In El Zaite, El Salvador, more than 250 children from disadvantaged families now have access to education, sports, music, and a safer future — creating real impact where it matters most thanks to Sasel vzw

Our ML Engineer Clément Van Goethem is contributing to this cause, and ML6 is proud to support him through our ML6 for Good initiative.

Technology matters.
But people taking action matters even more.

𝗪𝗮𝗻𝘁 𝘁𝗼 𝗵𝗲𝗹𝗽 𝗮𝗺𝗽𝗹𝗶𝗳𝘆 𝘁𝗵𝗶𝘀 𝗽𝗿𝗼𝗷𝗲𝗰𝘁? 💙
Discover SASEL: https://hubs.la/Q04hL7HK0

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