Shiba

[Shiba @Shiba_got]

@AsafNaamani B, the knowledge on how to perform the analysis is the real deal imo
And thanks!

[Shiba @Shiba_got]

@AsafNaamani Thanks for the words, sounds familiar 🫠

[Shiba @Shiba_got]

From here, I'll start posting the board's read on specific stocks.

If you trade, tear them apart - every sharp disagreement helps me improve the harness and sharpen the personas.

That feedback loop is the whole reason I'm sharing.

Built with Claude Code. Follow along.

[Shiba @Shiba_got]

I spent the last few weekends building a research harness for my own swing-trading book - entirely with Claude Code.

It places zero orders. On purpose.

It's not a trading bot. It's a machine for not fooling myself and a partner that thinks alongside me🧵

[Shiba @Shiba_got]

None of this guarantees I make money - that's the point. It's a research harness, not a crystal ball.

But I no longer trade alone, and I have to win the argument before I click buy.

[Sakana AI @SakanaAILabs]

Building AI that Builds AI: Introducing the Sakana AI RSI Lab 🚀

https://t.co/AskX3J5oEJ

Today, we are announcing the Sakana AI Recursive Self-Improvement (RSI) Lab: a dedicated research group in Tokyo tasked with redesigning the AI development process itself using AI.

While the industry increasingly speculates about the theoretical potential of self-improving AI, we’ve spent the last two years actively laying the foundations to make it a reality:

▪ LLM²: AI models automating research to invent better preference optimization algorithms.
▪ Darwin Gödel Machine: Agents autonomously rewriting their own codebase to double software-engineering performance.
▪ ShinkaEvolve: Hyper-sample-efficient program evolution that builds novel loss functions for MoE models.
▪ ALE-Agent: Reinforcement agents outperforming hundreds of human experts via self-learning.
▪ Digital Red Queen: Open-ended adversarial coevolution laying the groundwork for RSI in cybersecurity.
▪ The AI Scientist: Towards end-to-end automation of AI research, recently published in Nature.

Now, we are unifying these breakthroughs. The Sakana AI RSI Lab is officially tasked with building open-ended, adaptive architectures that collectively self-improve.

Human intelligence did not emerge from limitless resources; it was forged through the open-ended, compounding process of evolution operating under strict constraints. We are applying this exact principle to AI.

We believe recursive self-improvement is achievable on modest, sample-efficient compute. It shouldn’t be a winner-take-all asset locked inside hyperscale clusters, but a democratized public good.

We’re scaling our team to execute this mission. We are looking for frontier scientists and engineers who are entirely unsatisfied with the brute-force status quo. If you are ready to break away from standard benchmarking and build the self-improving future in Japan, come build with us.

[Shiba @Shiba_got]

@AsafNaamani Honestly glad i found your account 👑

[Shiba @Shiba_got]

@SRxTrades Mentor

[Shiba @Shiba_got]

@SRxTrades Will you share a recording?

[Shiba @Shiba_got]

@AsafNaamani Nice!
It seem that theres both a triple top and a cup and handle that may have passed through today

[Shiba @Shiba_got]

@AsafNaamani @X ניתוח מעולה, תודה לך!
אני רואה שביום האחרון אומנם יש עלייה במחיר אבל גם היו יותר מוכרים מקונים, האם זה משפיע על הניתוח שלך להמשך עלייה?

[Shiba @Shiba_got]

@AsafNaamani Can you share what does a confirmation of reversal looks like?