Łukasz Białozor

I believe in Kaizen (改善), the Japanese method of continuous improvement.

That’s why I never stop learning and growing.

[Łukasz Białozor @lukasbial]

@skirano @openrouter @grok how much this could improve your capabilities compering to your official heavy mode?

[Łukasz Białozor @lukasbial]

Mass tech unemployment? Unlikely, but automation & AI are already displacing jobs—and it will accelerate. As Frey & Osborne (Oxford) predicted, we’ll see disruption, not a jobless future. Time to adapt, just like with the Industrial Revolution or the internet.

[Łukasz Białozor @lukasbial]

Is Your Business Ready for the EU AI Act? 🇪🇺🤖

The landscape of Artificial Intelligence in Europe has fundamentally shifted. The landmark EU AI Act is no longer on the horizon – it's here, and its impact will be as transformative as GDPR. 💥

https://t.co/RArUwXsSOC

[Łukasz Białozor @lukasbial]

@AbroadInJapan Chris, based on your observations living in Japan, what's the general sentiment among Japanese people regarding the country's current political climate?

[Łukasz Białozor @lukasbial]

@YourAnonCentral XD

[Łukasz Białozor @lukasbial]

Excited to share that I'm starting the MIT "Artificial Intelligence: Implications for Business Strategy" program! This intensive journey is offered jointly by the renowned MIT Sloan School of Management and the pioneering MIT Computer Science and Artificial Intelligence Laboratory (@MIT_CSAIL ) – true powerhouses of innovation.

As Head of Digital Analytics & AI at @flyingbisons_ , my mission is clear: bridge the gap between cutting-edge tech and tangible business outcomes, focusing on real impact.

While we strive for excellence daily, I believe true leadership in this fast-paced AI revolution means constantly pushing boundaries, never settling for "good enough." This program’s strategic focus on the implications of Machine Learning, NLP, Generative AI, and Robotics is exactly the catalyst needed to delve even deeper.

It's about ensuring we uncover and seize emerging opportunities to deliver exceptional business value for our company and our clients. Learning strategic insights from the world-class minds at MIT will undoubtedly sharpen my strategic edge, but it's the practical application and driving that next level of impact that truly excites me.

Stay tuned – ready to translate insights into action!

[Łukasz Białozor @lukasbial]

@ai_for_success Standard playbook: hire today for the jobs of tomorrow. Always planning ahead.

[Łukasz Białozor @lukasbial]

@kimmonismus "make it better"

[Łukasz Białozor @lukasbial]

It's official: OpenAI just launched the GPT-4.1 family (4.1, Mini, Nano) via API, and it's a major leap forward, directly leading to the deprecation of GPT-4.5 Preview (scheduled to sunset July 14, 2025).

Key upgrades making previous models look dated:

- 1 Million Token Context: Across all three new models! Process massive documents or codebases (like 8+ copies of React's codebase).
- Coding Dominance: GPT-4.1 hits 54.6% on SWE-bench Verified (a +21.4% jump over GPT-4o!) and even surpasses GPT-4.5 on key coding tasks like diffs.
- Superior Instruction Following: Significant gains in reliability, especially for complex, multi-turn, or specifically formatted instructions.
- Better Long Context Use: Improved ability to find and use information across that huge 1M token window.
- Faster & Cheaper: Notably lower API costs (4.1 is ~26% cheaper than 4o median) and faster options with Mini/Nano.
- Crucial Detail: For now, these power-ups are API-only. ChatGPT users (on GPT-4o) will receive similar improvements gradually over time.

This move solidifies GPT-4.1 as the new state-of-the-art for API users, clearly outperforming the model it replaces.

[Łukasz Białozor @lukasbial]

@svpino Depends on the model ;)

[Łukasz Białozor @lukasbial]

"Any sufficiently advanced technology is indistinguishable from magic." - Arthur C. Clarke

That initial 'magic' of Generative AI is compelling, evoking real wonder. But to truly harness its power for business, we need to move beyond awe and demystify how it works and how to apply it strategically.

That's precisely why diving into the 'Generative AI for Executives and Business Leaders' Specialization by @IBM, proved so valuable. It provided direct access to learn from the experts actually building, deploying, and strategizing around this technology at the highest levels. Perspectives from IBM Fellows like Maja Vukovic, top leaders such as Matthew Candy (Global Managing Partner, GenAI Consulting), Nicholas Renotte (Chief AI Engineer), Christina Montgomery (Chief Privacy & Trust Officer), strategists like Kate Soule, and researchers Kush Varshney & Dario Gil (IBM Senior VP), offering incredible clarity and real-world context.

Distilling these high-level insights, here are 3 critical strategic anchors for any business leader navigating the GenAI wave:

1️⃣ Focus on Strategic Impact, Not Just Technology. True AI power isn't automatic; it's unlocked by intention. Success demands aligning AI initiatives tightly with core business objectives – whether that's radically improving productivity, transforming customer loyalty, or driving measurable ROI. Think specific problems, targeted solutions, clear value.

2️⃣ Forge Your Competitive Edge: Your Unique Data is the Key. Generic AI tools offer a starting line, not a winning strategy. The real, sustainable advantage comes from securely harnessing your proprietary business data. Tuning models and using techniques like RAG on a controlled platform turns your unique knowledge into AI-driven insights and capabilities competitors simply cannot replicate. Build your defensible edge here.

3️⃣ Pragmatism Over Hype - Start Smart & Scale. Resist the urge to chase every new model. Strategic success comes from choosing the right tool for the specific job (often, tailored smaller models win!), launching focused, low-risk initiatives first to learn and build momentum, and embedding robust ethical governance and trust principles as you scale. It’s a strategic journey, demanding thoughtful steps, not a frantic race.

Mastering GenAI is about deliberate, informed leadership. As Dario Gil aptly put it during the course:

“AI is going to touch every aspect of our lives, it will change the world. But how it will change the world is up to us, to all of us.”

This underscores the responsibility we hold as leaders. What's the single biggest hurdle your organization is facing when trying to scale GenAI effectively? Let's discuss below! 👇

[Łukasz Białozor @lukasbial]

🚀 Best AI Models for Vibe Coding (2025 Edition)

Benchmarks aren't everything—practical use and real-world performance matter most.

Here's my hands-on breakdown based on extensive testing (I've burned through way too many subscriptions so you don't have to!):

1. 🌟 Google Gemini 2.5 Pro
Gemini offers an impressive context window of up to 1,000,000 tokens, making it perfect for massive coding projects. It's available for free with some limitations via the Gemini website and fully accessible through Google AI Studio. In practice, it's a standout choice for effortless, flow-driven coding tasks.
- Single-prompt effectiveness: Very High (works perfectly on the first try).
- Context window: 1,000,000 tokens.
- Ideal for seamless coding and quick prototyping.
- 😍 It's Free! 😍
- HumanEval: ~85-90% pass@1.

2. 🔥 Claude 3.7 (Anthropic)
Claude excels at complex debugging tasks, especially when using the premium "Claude Code" feature, which has successfully debugged issues Gemini 2.5 Pro couldn't handle. However, note that Claude Code comes at an extra cost. Despite token limits potentially disrupting larger tasks, its reasoning power remains unmatched.
- Single-prompt effectiveness: High, especially with Claude Code.
- Context window: Up to ~200,000 tokens.
- Exceptional at structured problem-solving and deep debugging.
- SWE-Bench Verified: up to 70.3% (Sonnet+Code).

3. 💡 Grok 3 (xAI)
Grok's "Thinking Mode" isn't unique, but when activated, it significantly enhances coding productivity. Many developers have successfully created complete games using Grok in Thinking Mode alone. However, be aware that Grok struggles with context overload by sometimes pruning important code functions, which may require manual corrections.
- Single-prompt effectiveness: Good, but occasionally requires manual corrections due to function pruning.
- Context window: Theoretically, up to 128,000 tokens.
- Best suited for structured coding sessions and long-term project planning.
- Currently lacks API access.
- LiveCodeBench: ~80% pass@1.

⚠️ GPT-4.5 & OpenAI Variants
While GPT-4.5 and similar OpenAI models show impressive benchmarks, in practical scenarios, they rarely produce perfect code on the first try unless the task is straightforward. Complex projects typically require multiple iterations and debugging due to occasional hallucinations and context handling issues.
- Single-prompt effectiveness: Low to moderate, often requiring multiple iterations.
- Reliable for simpler, clearly defined tasks, less effective for sustained large-context projects.
- HumanEval: 90%+ pass@1 on simple tasks.

🏆 My Recommendations:
- Flow, Simplicity & Free Access → Gemini
- Deep Debugging & Precision → Claude 3.7 (with Claude Code)
- Comprehensive, Structured Coding → Grok 3 (Thinking Mode)
- Don't try vibe coding with GPT—it's mostly hype! 😉

What's your favorite AI for vibe coding?

[Łukasz Białozor @lukasbial]

@KonstantinKisin @francisjfoster What?

[Łukasz Białozor @lukasbial]

@AravSrinivas Yes

[Łukasz Białozor @lukasbial]

@EdKrassen It's 30%

https://t.co/TbV0oZ04p7

[Łukasz Białozor @lukasbial]

@jeffreymlevy @GOP @elonmusk @DNC @AP @Reuters @mcuban @JasmineForUS @AOC @maddow It's 30% if you using Grok correctly.

https://t.co/TbV0oZ04p7

[Łukasz Białozor @lukasbial]

"Just got my hands on Grok 3 from xAI, and damn, this thing is wild! Super curious to dig deeper—AI vibes are off the charts. #Grok3 #xAI"

[Łukasz Białozor @lukasbial]

@annawitten @COIgovPL @DGPrawna Link do źródła? Bo trudno coś wygoglować.

[Łukasz Białozor @lukasbial]

@sama I always knew that we live in a @TheWheelOfTime universe.

[Łukasz Białozor @lukasbial]

@bindureddy The funny thing is, that the screenshot which you shared is 100% generated by chat GPT.