10 x $25,000 Stellar Challenge GIVEAWAY
To Win ⤵️
▫️Follow - @PsychedeliaAcad & @Techriztm
▫️Also follow - @Kelvintalent_ & @FundedNext
▫️Like & Repost this GIVEAWAY
▫️Post proof of following the above 4 handles & comment done
That’s all💯
Winners after 48hrs
Let’s go📈
Make sure you’re signed up to Fundednext to ensure you win > https://t.co/zJxxMq3HwJ
“System prompt + sandbox” isn’t enough. That’s basically the model policing itself. And a sandbox is useful, but it’s containment, not authorization.
I’d put a deterministic policy layer between the planner and executor that checks every action before it runs: what it wants to do,
what resource it’s touching,
what parameters it’s using,
and whether it’s actually allowed.
The executor should have the least privileges possible, and anything high-impact or irreversible should require human approval.
Also let me add that the policy engine should validate the actual action, not just ask another LLM, “Is this safe?” Otherwise, you’ve just moved the trust problem to another model. The sandbox is still valuable as another layer of defense. Just design the system assuming that any one layer can eventually fail.
In conclusion, The model should be able to propose what to do. It shouldn’t be the thing that decides whether it’s allowed to do it.
DavexyTech🔥✍🏾
#Golang
Spent the last two days building a rate limiter for one of my Go backends for a project I'm working on .
Went from "just INCR a counter" to a full token bucket implementation running atomically in Redis.
Thread on what I learned, including a bug that would've silently leaked memory in prod 🧵
The 2025 Model In Simple Terms:
Determine a short term session\Day bias.
If Bullish - Seek Discount Arrays to enter on or after a short term swing low has been raided.
If Bearish - Seek Premium Arrays to enter on or after a short term swing high has been raided.
Frame intraday Price Runs from one Algorithmic Gap to an opposing Short Term Swing for Liquidity or Gap.
Macro times are optimal timing criteria but Price Runs inside the bias that began on a Macro can still be utilized.
Make a profitable execution and step aside for the day.
2% Risk per setup... one loss per day permitted.
That is it Folks... nothing complicated or too jarring.
Veteran students of mine see the simplicity... new Readers are probably not so impressed.
I have a money back guarantee for 2025 ICT Mentorship.
If you learn and participate in my 100% Free training... you will demand a full refund from every other course, Mentorship or Educator you paid.
It is that good... and zero risks of wasting money.
Tick Tock Mother Fuckers...
#EndGame
🎁 GIVEAWAY 10x 50k Challenges 📷
1) Follow @ckcapitaluk@wannabechamp
2) Like, Retweet this tweet
3) Subscribe to youtube & watch; https://t.co/xJqWQiFneC
4) Comment below what you would do with $1.3million payouts
*Winners announced 4 days