Epic Web3 — learn how to build & grow products in Web3

3 accounts that you should read to get the best alpha

🐸 @ahboyashreads - daily curated alpha from different sources

📚 @cryptogoodreads - archive of interesting tweets, threads, articles, blog posts etc.

⭐️@infinityhedge - news that matter

Why is everybody talking about DeepSeek now? And how it can destroy Nvidia?

🤑 Training top AI models today is prohibitively expensive. Companies like OpenAI and Anthropic spend over $100M on compute alone, relying on massive data centers with thousands of $40K GPUs.

DeepSeek flipped the script, managing to train AI models on par with GPT-4 and Claude for just $5M.

How?

🤖 By rethinking AI from the ground up. Traditional AI operates with excessive precision, using 32 decimal places for every calculation. DeepSeek simplified this to 8, reducing memory requirements by 75%.

The real game-changer? DeepSeek's "expert system." Instead of activating all 1.8 trillion parameters like traditional models, they call on only the 37 billion parameters needed for a task.

📉 This method decreases costs and hardware requirements dramatically:
- Training cost: $100M → $5M
- GPUs needed: 100,000 → 2,000
- API costs: 95% cheaper

💪 This enables smaller teams to compete in AI without billion-dollar data centers. It also poses a significant threat to Nvidia, whose business model depends on selling high-margin, expensive GPUs.

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The 4 most important challenges in restaking

From the talk with Nader Dabit, Misha, Adam Efrima, Tigran Bolshoi & Warren Paul Anderson

⚖️ Imbalanced expectations - the rapid growth of restaking protocols like EigenLayer has generated significant hype. However, the ecosystem is still in its infancy, leading to a mismatch between expectations and deliverables.

⚠️ Slashing risks - slashing, a critical component of restaking security, has not been fully implemented in most protocols.

Its absence means current risk-taking remains limited to smart contract vulnerabilities and governance risks.

🤖 Technical complexity - advanced cryptographic solutions like ZK proofs and FHE are essential for scaling privacy and security in restaking.

However, these technologies remain resource-intensive and are not yet ready for widespread use in generalized applications.

🛍 UX - establishing a universally understood framework for evaluating AVS risks is a critical UX gap. Without this, both developers and users face uncertainty when assessing potential risks and rewards.

Making successful Web3 game: 3 tips from @ton_tongames and their founder Daniil Shcherbakov

📈 Focus on quality over trends
Many developers in the Telegram gaming space rely on trends like "click-to-earn" mechanics, where players perform basic actions to earn tokens or rewards.

Instead, emphasize creating polished, meaningful gaming experiences that provide lasting value. This approach ensures their games appeal to broader audiences and maintain retention beyond initial hype cycles.

🧠 Create a careful token strategy
Don’t launch a token prematurely to generate short-term interest. Better focus on building games with robust monetization, loyal audiences, and sustainable economics.

Token launches should be considered only when they add meaningful utility to the game and its ecosystem. By delaying token generation events, you can avoid the pitfalls of hype and create more stable, engaging products.

🪙 Make monetization user-centric
A key component of the strategy should be respecting users.

Rather than bombarding them with intrusive ads or exploitative monetization tactics, they focus on creating experiences where users feel encouraged, not pressured, to spend money.

This transparent and respectful approach earns trust and engagement from the player base.

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