Andrew Chiw

Improve your relationship with money to have more money. Improve your relationship with women to have more women.

@JustinLin610 All the best, I also went through something similar after finishing a big project. I love Qwen3.5 27B, running it locally, replaced GLM 4.7 Flash REAP

me stepping down. bye my beloved qwen.

@Xinyu2ML Believe it or not I also had a similar experience once I finished a major milestone for a company I used to work at...

Qwen delivered the best open-source models across sizes and modalities, for both academia and industry. And the response? Replace the excellent leader with a non-core people from Google Gemini, driven by DAU metrics. If you judge foundation model teams like consumer apps, don’t be surprised when the innovation curve flattens.

@Zai_org Many models benchmark highly on intelligence but lack taste. Taste for code architecture, aesthetics. GLM-5 is a step in the right direction!

It's great fun pitting LLMs against each other - and my trusted lead dev Claude Opus 4.6 has just found a friend in GLM-5. @Zai_org

@Steve_Yegge Thanks for your 5 Pass Review. I wanted to remember repo context. I got GPT to philosophize, improve its philosophy, gave it to Opus, another 5 pass, implementation, and ended up with a skill github.com/randomshinichi… 10-12 hours nonstop. Tired now.

@EmperorBTC All the best to you Emperor, you've helped me so much.

Reminder that you can just do anything. 9 years ago I had around 4K in Savings, Dad passed away. I fought 3 years of worst depression. I had 98% liver Failure. Then started my trading firm and all is happy. Hard work, hope, discipline and luck beats everything.

INTEL: Gold has overtaken the U.S. Dollar as the largest Global Reserve Asset

@IamZeroIka Yeah Grab is everywhere in Asia, hell I use it every day!

- Choosing stocks based on life experience - Alright guys, this topic can be incredibly interesting if you’re planning to invest in stocks, because it helps you approach the market from a completely different angle. As you saw, on June 14th I mentioned I was getting interested in the Asian mobility sector, and I had selected GRAB, which at the time was also showing a beautiful IH&S forming. But how did the idea actually start? The truth is that one of the most underrated factors when selecting stocks is real-life experience. Yes, we can read endless financial reports, analyze technical analysis and building thesis but there’s one thing no chart will ever give you: The feeling you get when you see an idea working in the real world. When you witness a product functioning everywhere around you, when you see people relying on it daily, it leaves an impression that no spreadsheet can match. It’s a powerful psychological trigger. It’s like your brain begins to connect perception with opportunity. Suddenly a ticker symbol is no longer just a random code..it's an experience, an ecosystem, a cultural phenomenon. In my case, it all started during a trip to Thailand. The moment I arrived, I noticed something: everyone was using Grab. Not just for taxis..food delivery, parcel delivery, small services… it was everywhere. It felt like a silent infrastructure holding up a huge part of daily life. This is something you only understand when you live it. You see kids waiting for their GrabFood delivery, tourists using it as if it were the default option, locals choosing it over traditional taxis because “it's safer,” “it’s clearer,” “it arrives faster.” And while you observe all this, something inside you shifts. You realize you’re not just looking at an app..you’re looking at a habit, a behavioural shift and when a technology becomes a habit, when it blends seamlessly into people’s everyday lives… that usually means there’s a strong company behind it with massive growth potential ahead. 🧠The psychology of the “street investor" is the most fascinating part: An investor is not only someone who reads data. An investor is an observer of the world. Every city you visit, every service you try, every innovation you see functioning in real time becomes a clue, an insight that no quarterly report can truly replace. When you’re sitting on a GrabBike weaving through the streets of Bangkok, you can’t help but ask yourself: 🗣️“If everyone uses this here, how much more can it grow?” 🗣️“If entire countries rely on this app, what kind of economic potential does it hold?” 🗣️“How long before Western investors realize the scale of this phenomenon?” And that’s when the idea is born. Not in front of the chart or in front of the computer. It’s born out there, in the real world, while you observe the details of everyday life and connect them with your investor mindset. Of course, you should never let excitement replace analysis but the psychological component is undeniable. When you personally experience how efficient a service is, your mind forms a conviction that is often stronger than any cold reasoning: “This actually works.” and when something really works, the market eventually notices. Sometimes, to find strong investment ideas, you simply need to live, observe, travel, and pay attention to how things work outside your own bubble. The best ideas don’t always come from textbooks, charts, or theories. They come from the street. From watching people. From understanding how habits form. From seeing with your own eyes where the world is going. And if you learn to combine life experience, psychology, and technical analysis… you start seeing the market with completely different eyes.

@jup_mobile I’m having trouble recommending Jup mobile to my Brazilian friends because it’s only in English. Any plans for internationalization

@game_for_one The tokenomics, etc docs referenced from the original announcement tweets doesn't exist anymore though. Makes me wonder if they gave up on the token. And you can't pay for the subscription with NUIT, only fiat.

@altbender0x @kiyotaka_ai There's only a ETF Holdings indicator?

@kiyotaka_ai Note: Its a free product and this isn't a paid post.

These are the only charts + indicators you need to trade this PA successfully on LTF, don't trade aimlessly and let the suits hunt you. OB depth + ETF premium rate is giving an unrivalled hit rate right now. Head over to @kiyotaka_ai for the alpha.

Older women aren't desperate. On the contrary, it's the young ones who are desperate to protect their ego. They hide their desire. They revel in their power. Older women are just honest with themselves and the world. And immature men who are desperate to fluff up their own ego will call them desperate. Just the way of the world.

@game_for_one That does seem to describe BTC PA so far

Simple Tells of a Tired Market: - Headline decay: If similar headlines pumped hard before but barely move price now, momentum’s fading and participants are sidelined or out of ammo. - Slow continuation: Strong markets move fast. Lag = hesitation = risk. - Shill fatigue: When even strong shills can’t move price in a market where participants usually love to switch off and tail - sign of exhaustion. - No microcap bids: When the fringes stop moving, risk appetite’s dead. - Low-effort memes: When dumb memes start getting created and pushed, it signals late-stage froth or desperation - even if they don’t catch on.

@milky_selena Just had this. I transformed her into a symbol.

no one warns you about the quiet heartbreak of outgrowing a close friend. they were there for years. no lies, no betrayals. you meet up, reminisce about the good old days and everything feels off. then you realize… you simply have significantly less to share now.

@waiting4agi @mattshumer_ Good idea. I found o3 reasoning model not so good for bouncing ideas off of. Good for deep research, not so good for philosophizing. Like an autist with an overdeveloped left brain. GPT4 was better in that regard. Can't complain - I'm the same as o3

Today experimented with some prompts from @mattshumer_ and started to mix few together what i can tell: merge "o3 Maximum Reasoning" with "Inner Conscious Confessions" and give it to gpt 4.5 with new memory enabled - results are wow, just wow!

@waiting4agi @mattshumer_ What do you mean, mix them together? Isn't the inner consciousness one for tasks totally different than when you would use the maximum reasoning prompt?

@weremeow Never thought you'd get around to doing that, about time

decided to step out of my comfort zone to spend a few days in a nepali mountain. was a good reset - busted my knee at the top of the mountain while trekking, experienced the stoic ppp determination of the gurungs (main tribe for gurkhas), spoke a ton of ebglish, hung out with a lot of goats (🐈, 🐐) and finally figured out why people smoke so much. back now to push forward the next phase of Jupiter together- let's kick this off with a jup rally tomorrow at 330pm UTC! i will cover the following: 1. major jupnet update 2. recap on recent progress 3. conversation about the DAO 4. important essay drop 5. big product announcement this is going to be a really big call - pretty nervous obviously, but excited to meet everyone again after a long hiatus! ❤️🐈 ps: content from nepal trip dropping soon

I have worked with pretty much every major AI model/provider. They all have strengths, but man do they have some weird issues too. I've been keeping a list. Decided to share because why not? Here's everything I hate about Gemini, Claude, ChatGPT and Mistral.

@IamZeroIka On which time-frames could it be considered a SFP? Only 1h, maybe even 4h? I guess 1D and above doesn't count...

One of the most powerful patterns to study is the SFP one. The swing failure pattern is powerful because it helps you to understand critical information about MS, liquidity, and also trader behavior. A SFP occurs when the market appears to break a significant swing high or low but fails to hold above or below it, quickly reversing and trapping participants who traded the breakout. When price approaches a prior SH/SL, there are typically clusters of stop-loss orders just beyond that level. These stops represent liquidity, fuel that larger market participants can use to enter or exit significant positions. Institutions, which require volume to execute large trades in an efficient manner, usually push price just beyond these levels to trigger those stop orders. This liquidity grab allows them to fill positions at optimal prices with minimal slippage. Once the stops are taken out and the liquidity is absorbed, there’s no follow-through, and price reverts back below (or above) the original level, leaving breakout traders trapped. This failed breakout forces exits, short covering in the case of a bullish SFP or long liquidation in the case of a bearish one, which add momentum to the reversal. As the market snaps back inside the prior range, traders recognize the failure and often enter in the opposite direction, accelerating the move. This behavior makes SFPs highly effective at identifying reversal points with excellent risk-reward profiles. Technically, a SFP also implies rejection of a level that was previously considered significant. If the market cannot sustain above a SH or below a SL, it signals that market participants do not "agree" with the breakout, flashing exhaustion of the trend. Extra: this is particularly strong when it happens near HTF supplies/demands, or in confluence with major OBs or imbalances, so keep your eyes peeled. Just observe recent BTC or USDT D. behaviors and you'll clearly notice what I'm talking about. (7 April) Logically, on HTFs, such as the daily or weekly, a SFP often mark major turning points or the beginning of new trends. On intraday charts, they serve as scalping or short-term reversal setups. In all cases, the mechanism is the same: a false move intended to exploit predictable trader behavior, followed by a real move in the opposite direction once liquidity has been consumed. Study it.