OG Approved - No BS Tech News # 95

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Latest Industry Trends and News 📈🌐

👉 Teaching large language models how to absorb new knowledge

💡What’s the Big Idea?

A team at Massachusetts Institute of Technology has devised a method that lets a fully trained large language model (LLM) permanently internalize new information by generating and studying its own “notes,” rather than remaining static.

🔑 Key Takeaways for Readers:

1. The technique—called SEAL (Self-Adapting LLMs)—lets the model create synthetic “study sheets” from input data, quiz itself on them, and then update its weights accordingly, effectively mimicking how humans learn.

2. In experiments, the method improved question-answering accuracy by nearly 15% and in some “skill‐learning” tasks, boosted success rates by more than 50%.

3. The approach still faces the issue of “catastrophic forgetting” (the model’s performance on older tasks drops as it learns new ones) and is not yet ready for broad deployment—but points toward more adaptive, evolving AI.

⚡ Why It Matters (OG lens):

Because until now deployed LLMs have been static, this breakthrough opens the door to AI systems that learn and evolve in real time rather than staying stuck with the knowledge they had at launch.

⭐OG Rating:

4/5 This deserves a strong rating because it tackles a major constraint in current AI (static knowledge) with a clever human-learning analogy and promising results—but it stops short of production-readiness and doesn’t yet solve the forgetting problem.

👉 The EU has let US tech giants run riot. Diluting our data law will only entrench their power

💡What’s the Big Idea?

The General Data Protection Regulation (GDPR) was supposed to curb tech-giant dominance, but the European Commission is now flirting with watering it down—handing more power to US platforms instead of reining them in.

🔑 Key Takeaways for Readers:

1. Europe’s regulatory muscle on data (GDPR’s “purpose limitation” rule) is being undermined because major tech firms like Meta Platforms have exploited lax enforcement to repurpose user data across services.

2. The Commission is proposing changes that would let companies claim wider legitimacy for using personal data (for example, in AI training) with fewer proof burdens—essentially legitimising past unchecked practices.

3. Weakening regulation rather than enforcing existing law ends up entrenching US tech dominance and undermining European sovereignty, innovation chances, and child/consumer protections.

⚡ Why It Matters (OG lens):

Because if Europe gives up on its regulation now, it hands control of its digital future—data, platforms, algorithms—to firms grown in Silicon Valley, not homegrown innovators.

⭐OG Rating:4/5 This deserves a strong rating because it pulls back the curtain on a critical inflection point for tech-policy and sovereignty in Europe—but it doesn’t yet offer a full blueprint for enforcement or alternatives, so it falls just short of the top mark.

👉 Tech Weekly: Tech Stocks Feel the Heat Amid Valuation Fears

💡What’s the Big Idea?

The tech sector is showing its first real cracks as inflated valuations, mixed economic data, and heavy AI spending drag major stocks lower.

🔑 Key Takeaways for Readers:

1. After a strong run, tech stocks pulled back amid worries that AI hype has outpaced fundamentals and margins will be hit.

2. Heavyweights like NVIDIA, Palantir Technologies, and Amazon.com helped lead the fall despite strong results, as investors focused on ris,k not just growth.

3. Broader risk factors – weak jobs data, possible slower growth, stretched valuations – are combining to raise red flags that the tech boom may be entering a more precarious phase.

⚡ Why It Matters (OG lens):

Because when the engines of growth—tech and AI—start showing signs of fatigue, it signals not just a sector wobble but a structural test for the broader market and the business models built around perpetual growth.

⭐OG Rating:

4/5 Solid rating because this piece cuts to a meaningful inflection in tech markets and forces a re-think of where value lies—but it doesn’t yet deliver a full conclusion or breakdown of what replaces the old model, so it stops short of being definitive.

👉 AI will slash headcount by two-thirds - retail boss

💡What’s the Big Idea?

A British online retailer expects to reduce its UK staffing by up to two-thirds as AI and automation replace roles currently filled by humans.

🔑 Key Takeaways for Readers:

1. The company (Buy It Direct / Appliances Direct) projects cutting approximately 500 of its current 800 UK jobs as AI takes over office, warehouse and customer-service functions.

2. The shift is framed as a response to rising cost pressures (living wage and national insurance contributions) and the adoption of automation and robotics alongside AI in logistics and fulfilment.

3. This is an early signal of a broader trend: entry-level and operational roles in retail and logistics are increasingly vulnerable to AI-driven efficiency gains.

⚡ Why It Matters (OG lens):

When frontline roles vanish under the guise of “efficiency,” the social contract between work, identity and income breaks down — and businesses that treat people as disposable will find the backlash stronger than any cost-cut.

⭐OG Rating:

3/5 The piece is noteworthy for highlighting a concrete example of AI-driven job disruption, but it doesn’t deeply explore how workers adapt, the policy implications or the counter-measures — so it earns a solid but not top-tier score.

OG approved quote

What do you think?

TECHNOLOGY & BREAKTHROUGHS 🚀💡

👉 What are investors looking for in the AI trade?

👉 Anthropic adds $50 billion to AI’s mounting debt pile with new U.S. data-center push

👉 How AI Is Discovering Athletes That Human Scouts Miss | Richard Felton-Thomas

👉 Regulating AI to unlock innovation | David de Falguera

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◼ I am Olivier Gomez, best known as OG.

◼ I support executives and companies in navigating the Automation and AI landscape and getting tangible results from the technology.

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