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🖤 THE HOOD MINI APP IS NOW LIVE.
The streets are officially open.
It's time to calculate your HOOD Score, begin farming $HOOD, and secure your place before the campaign ends.
Inside the Mini App you can:
⚫️ Calculate your unique HOOD Score
⚫️ Complete missions to earn more $HOOD
⚫️ Invite friends and earn 10% of everything they earn
⚫️ Connect your TON wallet
⚫️ Climb the global leaderboard
⚫️ Get a 2× HOOD Score bonus if you're a Telegram Premium user
⌛ Airdrop campaign runs for 60 days only.
Every mission matters. Every referral counts. Every score brings you closer to the snapshot.
Enter the HOOD. Start farming.
🐶 Mini App: https://t.co/Xo8KlUtTqw
continuing to train my specialized agents with verifiable loops with Spark Loops desktop
pushed a demo script producer agent from 62% to 89%, scored by GLM 5.2, Deepseek v4, and Grok 4.5 yesterday
here is a deep dive:
There are many ways to train an agent. Most of them let the agent grade its own homework.
Spark Loops doesn't. It uses a multi-LLM framework built so agents can't cheat their way through training.
The main LLM edits and mutates its domain knowledge chip to solve tasks better, but it never scores itself.
That job belongs to the reviewer LLMs. They score each run and hand back feedback.
The main LLM takes it, restructures how it thinks about the domain: its processes, its problem-solving moves, adopts what works, and goes again.
New run, new feedback, new mutation.
Reviewers: they never talk to each other.
Each one is blind to the others' feedback, so every score comes from independent reasoning and judgment with no room for groupthinking or echo chamber.
The result: an agent that gets better in the domain you want it to improve upon because it earned it, not because it gamed the grading system.
You can choose who you want your main LLM to be, and who you want your reviewer LLMs to be.
I do my runs with 1 main and 3 reviewers, enough perspectives to keep the feedback comprehensive.
Since I'm gonna be doing more Spark Loops product videos, I created a new domain chip for scripts today. Let's see where we can take it.
SoSoValue Flash: Renewed Tensions Whipsaw Oil, Fed Easing Bias Softens, AI Hardware Rebounds Ahead of Earnings
💥 Core Catalyst:
Trump called the U.S.–Iran understanding "dead" before walking it back, but Wednesday's renewed tit-for-tat strikes squeezed crude shorts, sending Brent briefly over $80; a low-intensity "fight-and-talk" persists. The Fed's June minutes revealed sharpening policy rifts and rising inflation worries, noticeably softening the prior easing bias. In tech, xAI released Grok 4.5 to a solid reception. OpenAI cleared its U.S. security review and rolls out GPT-5.6 globally today, July 9. Meanwhile, SK Hynix’s U.S. IPO drew 7x+ oversubscription ahead of its Friday debut.
🔍 Key Logic Shifts:
1️⃣ Geopolitical Swings Widen Oil Band: Low-intensity clashes are expanding near-term crude volatility. The immediate spike in oil nudged Treasury yields higher, placing localized friction on liquidity-sensitive crypto and cyclicals.
2️⃣ AI Hardware Rebounds Into Testing: Dip-buying flow lifted AI hardware on Wednesday, with NVIDIA jumping 3.7%. The sector still lacks a crisp "agents drive demand" narrative and remains range-bound at highs; next week's U.S. earnings season is the key test.
3️⃣ Macro Eyeball Anchored to Fed: Macro focus stays on the upcoming July 29 FOMC meeting. With Chair Warsh offering no forward guidance, as crude eventually drifts lower and disinflation deepens, broader rate-cut odds can improve.
📊 Trade Setup:
Core: $USTECH-100 | $CL | $XAUT | $BTC
MAG7: $NVDA | $AMZN | $GOOGL | $META | $MSFT | $TSLA | $AAPL
AI Hardware: $SNDK | $MU | $AMD | $INTC | $TSM
Loop engineering and training your own agents with verifiable loops is about to get easy for everyone.
Here is the first look to Spark Loops desktop app, where you can:
> create your agents
> train them without any technical friction
> use them in sessions and your workflows
SoSoValue Flash: Renewed U.S.–Iran Strikes Shock Commodities, Samsung Blowout Spurred Profit-Taking, DeepSeek Chips Rumor Drags Hardware
💥 Core Catalyst:
Middle East geopolitical risks re-escalated violently as the U.S. launched military counter-strikes and revoked temporary waivers on Iranian oil sales following another vessel attack, driving global crude up over 5% in a single session (Brent $76). NY Fed President Williams struck a dovish tone on energy-driven inflation realities. In tech, Samsung Electronics printed blockbuster preliminary Q2 results, with revenue at KRW171T and operating profit skyrocketing 1,810% YoY to KRW89.4T (crushing the KRW84.8T consensus), yet a "sell-the-news" liquidation followed. Additionally, Reuters reported DeepSeek is developing its own proprietary AI inference chips to bypass Nvidia and Huawei constraints.
🔍 Key Logic Shifts:
1️⃣ Geopolitical Shock Ripples Macro: The abrupt U.S. military execution and total elimination of Iranian oil waivers sharply disrupted the macro landscape, sending crude spiking and Treasury yields higher while sparking localized equity de-risking. The baseline still models an eventual return to diplomatic tables, but near-term attention must monitor Iranian retaliation patterns post-Khamenei's funeral.
2️⃣ Hardware Capitulation Probes for Floor: Aggressive profit-taking post-Samsung earnings, compounded structurally by the DeepSeek in-house chip headlines, triggered another severe liquidation across the AI hardware tape. Micron, Samsung, and SK Hynix have now drifted roughly 20% off their cyclical highs. Lacking the explicit "AI Agent demand catalyst" seen in the April–May run, a rapid V-shaped recovery remains unlikely; expect AI clusters to hold a wide high-level range heading into next week's corporate earnings season.
3️⃣ Fed Playbook Remapped: The macro narrative continues to pivot toward the July 29 FOMC meeting. While the crude spike introduces near-term headline noise, the broader cooling of underlying core pricing pressures implies that aggressive rate-cut pricing may see further corrective pushes further down the calendar.
📊 Trade Setup:
Core: $USTECH-100 | $CL | $XAUT | $BTC
MAG7: $NVDA | $AMZN | $GOOGL | $META | $MSFT | $TSLA | $AAPL
AI Hardware: $SNDK | $MU | $AMD | $INTC | $TSM
if we have Fable (and this was actually created 3 months ago) today
imagine what we gonna have in 2-3 years
imagine what future generations will have
master the ai flows no matter what you do
Your mother is most likely to buy you a laptop and approve your friendship with the neighbour's son who just bought a Benz so you can learn Yahoo.
But your father won't even touch the proceeds of such earnings.
Women see the picture, men see the bigger picture.
Only men make men.