soacm @soacmsystems
We create simple but effective automated trading strategies. soacmsystems.com Joined May 2021-
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This is a great paper. LLMs cannot plan and reason on their own -- they're pattern-matchers. But that doesn't mean they can't be useful for reasoning. They work best *in conjunction* with systems that can actually plan or reason -- such as symbolic planners.
This is a great paper. LLMs cannot plan and reason on their own -- they're pattern-matchers. But that doesn't mean they can't be useful for reasoning. They work best *in conjunction* with systems that can actually plan or reason -- such as symbolic planners.
“AI hallucinates software packages and devs download them – even if potentially poisoned with malware” 😱
> Devin feels UI/UX first, not Gen AI first I think this is the winning strategy. We know the weaknesses of LLMs. To solve the developer problem the answer is not “train better models” (because even the best fail in predictable ways), but “build guardrails for the models”
> Devin feels UI/UX first, not Gen AI first I think this is the winning strategy. We know the weaknesses of LLMs. To solve the developer problem the answer is not “train better models” (because even the best fail in predictable ways), but “build guardrails for the models”
If there is no GPT-5 this year, as Sam recently implied, and companies continue to struggle to find a killer app, might another AI winter come? Consider: OpenAI’s app store is struggling, Microsoft Copilot is underwhelming, and many companies are scaling back expectations.…
If there is no GPT-5 this year, as Sam recently implied, and companies continue to struggle to find a killer app, might another AI winter come? Consider: OpenAI’s app store is struggling, Microsoft Copilot is underwhelming, and many companies are scaling back expectations.…
While GenAI is fun, I think its economic value is grossly over estimated, because it’s unreliable, risky and expensive to make and serve. It’s fine for creative tasks, but not (yet) autonomous agents
While GenAI is fun, I think its economic value is grossly over estimated, because it’s unreliable, risky and expensive to make and serve. It’s fine for creative tasks, but not (yet) autonomous agents
Prediction: there will be more software engineers (the kind that write code, e.g. Python or C or JavaScript code) in five years than there are today. For reference, there's an estimated 26-27M professional software engineers today. In 5 years, it should be between 30M and 35M.
It is hard to describe how much you learn by actually doing — by carefully considering all factors, making a decision, and then taking responsibility for the outcome. Unlocks wisdom that cannot be arrived at any other way.
5 exercises that should be mandatory for people who sit at desks:
@1stPrincipled @elonmusk Also do the thing that is both valued by the world and that you find irresistibly interesting. Never just follow your passion, make sure it matters to the world.
Don’t start a business to get rich. Start a business so you’re forced to become the kind of person who understands how the world works, how to provide value to others and how to adapt to any circumstances. And then you’ll never need to think about money again.
🧵Mean-reversion (MR) trading, briefly. MR is a painful style, because it mostly goes against the short-term trend, or what some rocket scientists call "convergent trading" (making a few mentions to Einstein too 😂) 1/n
Raising capital. A long ass thread. 🧵👀🕵️♂️🫰🤑💸 Sources, structures, and general tips. ...
Finding alphas isn't necessarily hard. Finding alphas that have institutional capacity is. There are times where the job will have you feeling like a mad man.
1. Never stop learning. 2. See failure as a beginning. 3. Teach others what you know. 4. Assume nothing, question everything. 5. Analyze objectively. 6. Practice humility. 7. Respect constructive criticism. 8. Love what you do. 9. Give credit where it's due. 10. Take initiative.
@tradernickfx Depends if your goal is wasting your time or making a profit, respectively.
The reason scam trading gurus lean on technical analysis is because it's an easy sell for lazy people. It presents profitable investing/trading as an accessible skillset with a narrow scope of focus. Additionally, it's vague enough to keep losing traders on the hook for upsells.

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