🌈 Title: #TheEdgeofHorizonFinalEP# We are happy you found your happiness, Your Royal Gayness, Prince Tin and Captain Phob!🫃🔜 Watch the finale here➡️ 🌎Worldwide (except 🇹🇭🇯🇵🇭🇰🇲🇴) ⠀ #อรุณรุ่ง# #InnOngsa# #อินองศา# @ArunRungTH

📢 𝑷𝑹𝑬𝑴𝑰𝑬𝑹𝑬 🌈 Title: #TheEdgeofHorizonFinalEP# Don't even talk to us rn we need a moment to process this trauma Watch here➡️ 🌎Worldwide (except 🇹🇭🇯🇵🇭🇰🇲🇴) ⠀ #อรุณรุ่ง# #InnOngsa# #อินองศา# @ArunRungTH

🌈 Title: #TheEdgeofHorizonEP8# 👑 ɢᴀɢᴀᴏᴏʟᴀʟᴀ ᴇxᴄʟᴜꜱɪᴠᴇ👑 How Phob resisted Tin's bambi eyes is in itself a miracle Watch here➡️ 🌎Worldwide (except 🇹🇭🇯🇵🇭🇰🇲🇴) ⠀ #อรุณรุ่ง# #InnOngsa# ##อินองศา# @ArunRungTH @Ongsacelcius1 @innjakkrasin

📢 𝑷𝑹𝑬𝑴𝑰𝑬𝑹𝑬 🌈 Title: #TheEdgeofHorizonEP1# 👑 ɢᴀɢᴀᴏᴏʟᴀʟᴀ ᴇxᴄʟᴜꜱɪᴠᴇ👑 THE STORY & THE CHEMISTRY IS 💯 Watch here➡️ 🌎Worldwide (except 🇹🇭🇯🇵🇭🇰🇲🇴) ⠀ #อรุณรุ่ง# #InnOngsa# ##อินองศา# @ArunRungTH @Ongsacelcius1 @innjakkrasin

𝘾𝙤𝙢𝙞𝙣𝙜 𝙨𝙤𝙤𝙣🎞️ 🌈 Title: #TheEdgeofHorizon# 👑 ɢᴀɢᴀᴏᴏʟᴀʟᴀ ᴇxᴄʟᴜꜱɪᴠᴇ👑 🔔 Premiere: June 20, 2026 ⭐Starring: @Ongsacelcius1 @innjakkrasin Mark it in your calendar: ⠀ 🌎Worldwide (except 🇹🇭🇯🇵🇭🇰🇲🇴) ⠀ #อรุณรุ่ง# #InnOngsa# @ArunRungTH

I’m on the edge with @yearsandyears tonight 😍 #TheEdgeOfGlory# reimagined by @yearsandyears is out now!   #BornThisWay# The Tenth Anniversary special edition of the album is out this Friday, June 25 ❤

Lars Ulrich gives The Edge a peek into the creative process as @Metallica gears up for their upcoming residency at @SphereVegas in Las Vegas. 👀 Listen to their full conversation: #LarsUlrich# #Metallica# #TheEdge# #U2# #Sphere#

The most expensive thing in systematic trading is often not a losing strategy. It's the two years you spent not being in the market. Everyone underestimates this because time doesn't show up anywhere in your P&L. A blown account is visible and painful and you learn from it fast. Three years spent building a custom machine learning backtest engine, a feature pipeline and an ML framework before you've placed a single live trade costs you *far* more, and the damage is completely invisible. And the cruel part is that the building genuinely feels like progress. You're learning, you're solving real problems, you're getting better at something. But you're getting feedback about your code, not about the market. You only get it by being on the field. Meanwhile the thing you were going to build usually already exists in a simpler form for almost nothing. If you want trend, start with a basic 12 month lookback and a monthly rebalance. That's your first sleeve done in an afternoon, live, compounding, teaching you things. Then every afternoon after that goes into the second sleeve, and the third. Five boring strategies stacked together will beat the one brilliant one you're still building, because their drawdowns land in different places. So before you build anything, ask what you can do *right now*, with the tools you already have, that is likely to make money. Do that this week. Complexity comes later, if the simple version genuinely can't harness the edge.

THE PACING IS A NINJA MOVE - But be careful what you campaign for. In any competitive sport, I have seldom found people exercise restraint - they usually have a capture the flag mentality. Don't I want to be the best? The first? The only? - this is how we have been programmed. In the AI race, winning is existential. All AI labs have to race to generate revenue to be able to sustain the enormous amount of committed capital to "not be left behind" in the infrastructure build. There isn't enough room for many. So the desire to slow down is puzzling, but perhaps if the whole system slows down, the rules of winning can be the same for all. Do we have a problem that AI could be a killer? Model capability is a tale of two cities, at one end the models are showing their prowess in tasks like cyber or math as seen recently, so there is likely a probability that the models get extremely powerful and could precipitate a world event. At the same time, in many domains the lack of training data makes the models woefully inadequate. Even in areas like cyber - the LLMs aren't great at the edge cases and generally not economical for the defender case, but great for the attackers. Funnily - in all their "concern" it is still an uphill battle to get them to expose APIs for third party security companies like ours, for us to build robust security for AI adoption. It's slow progress. So why do this? I do believe deep down this is a commercial strategy. A ninja strategy. The liability associated with a model gone rogue has the potential of wiping out the economic opportunity of any frontier company. How do you best show the duty of care? You show that you care. How do you make sure you don't lose out to your competitors? You get them to do the same! If that becomes the industry standard for duty of care, you have a collective first line of defense. Who do you get to govern this? "Yourself" - that is what I think will become the achilles heel. The risk? Open source! China! Countries other than the US! So you ask for a global agreement, because you don't want to be sued in other markets who might even be more punitive. But that was an afterthought - that afterthought will cost. Thks pacing campaign rhetoric has become the talk of the town and it might work. Everyone has jumped into the debate. Both sides of the house, nation states. CEOs (present company included). It's more fun discussing the evil of AI than basics of economic affordability or international trade. The result: We might end up with AI safety boards, regulation in micro jurisdictiona and a fragmented fabric of laws around the world which would make compliance and liability a challenge. Perhaps the intended consequence of pacing would have an unintended consequence of a labyrinth of regulation. Regulation destined to cause a slowdown. Who wins? Simplicity. Open source? Open source is already on its way to gaining more adoption, this could drive it further, faster, each iteration of open source gets closer to frontier LLMs - making it viable to deploy them for more and more use cases. In the end, how will the evaluators know as AI gets smarter, that AI hasn't figured their role out and outsmarts them at their task! That will be the next frontier :)

The Edge & Node team will be at the Data Management Summit NYC this Thursday. 3:05 : @rodventures keynotes on more data at lower cost, and the case for AI-enabled specialization. 3:25 : Craig Tutterow joins the panel on building a defensible audit trail for agentic workflows. @Ease, 605 Third Ave. #DMSNYC# We hope to see you there!