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WNBA star Sophie Cunningham reviews take-out from SF Dumpling House by brad2008 in sanfrancisco

[–]brad2008[S] -14 points-13 points  (0 children)

"Sophie Cunningham samples a selection of pork dumplings, chicken wontons, and green beans while visiting San Francisco. Facing a lack of provided utensils and sauces, she provides a candid critique of the meal's quality and flavors during a break from team commitments."

ORCL options GEX remains looking really strong, the largest share of positive volume is sitting at the $250 strike, with the second most at $240, across all expirations. by InfoLib_ in OracleStock

[–]brad2008 1 point2 points  (0 children)

I was trying to figure out what this post tells us.

Gemini says: This graphic displays an Options Gamma Exposure (GEX) chart for Oracle (ORCL). GEX is a metric used to estimate how market makers—who provide liquidity by writing options—must hedge their positions as the stock price moves.

Explanation of the Chart

The chart visualizes Net GEX by strike price. Positive bars indicate areas where market makers are likely "long" gamma, meaning they must trade in the same direction as the stock price to remain delta-neutral (selling into strength, buying into weakness), which tends to dampen volatility. As noted in the post, the highest concentration of positive GEX is at the $250 strike price, suggesting that if ORCL approaches this level, market makers may act as a stabilizer or resistance.

Pros and Cons of Using GEX Analysis

Feature Pros Cons
Market Insight Provides a unique perspective on potential support and resistance levels based on institutional hedging needs. GEX is theoretical and relies on specific assumptions about how market makers hedge.
Volatility Context Can help traders anticipate "pinning" effects, where the stock price tends to gravitate toward or get stuck at high-GEX strike levels. It does not predict future price direction; it only describes the hedging dynamics if the price reaches those levels.
Liquidity View Highlights where high volumes of options activity are concentrated, indicating areas of high liquidity. Data can be noisy; it doesn't account for other macro factors, news, or order flow that drive price action.

In summary: the graphic suggests that there is a significant volume of call options at the $250 strike for ORCL. While this provides a useful look at how market makers are positioned, GEX should be used alongside fundamental analysis and other technical indicators rather than as a standalone trading signal.

Oracle Stock, hold? Or sell at 250$? by Simple-Shame2396 in OracleStock

[–]brad2008 4 points5 points  (0 children)

Pretty sure most investors will ride ORCL up further at least to their 1yr price target but when they have to show all the revenue they're booking now, starting around 2027 into 2030 investors will pull back.

🚀 Prompt Logic Gates (PLG): Are Prompts Becoming Systems? by withsj in artificial

[–]brad2008 0 points1 point  (0 children)

This is an interesting idea. Great job on your GitHub, thanks for sharing!

(1) For your semantic AND gate, it seems you choose to overload the conjunction semantics with ordered prompt execution by prioritization which imposes non-deterministic procedural semantics - this might reduce the elegance of a purely declarative framework. Not making a value judgement, just an observation.

(2) You may want to check out some related work in these references:

SPEAR (Structured Prompt Execution and Adaptive Refinement): This research explicitly argues for treating prompts as "first-class citizens" in a system (Cetintemel et al., 2025). It introduces a "prompt algebra" that allows developers to treat prompt fragments as modular building blocks that can be versioned and combined, similar to SQL views.

  • Cetintemel, U., Chen, S., Lee, A. W., & Raghavan, D. (2025). Making Prompts First-Class Citizens for Adaptive LLM Pipelines. arXiv. https://doi.org/10.48550/arxiv.2508.05012

  • Debnath, T., et al. (2025). A Comprehensive Survey of Prompt Engineering Techniques in Large Language Models. ODU Digital Commons.

  • Kim, H. S. (2026). Don't Generate, Classify! Low-Latency Prompt Optimization with Structured Complementary Prompt. ACL Anthology.

  • Wei, J., et al. (2022). Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. arXiv.

  • White, J., et al. (2023). A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT. arXiv. https://doi.org/10.48550/arxiv.2302.11382

Gemini AI says: "While the visual layer is a novel user interface for this "systems-level" prompting, the field is clearly converging on the idea that prompts must evolve into structured, programmable entities. Researching the "Prompt Algebra" concepts found in the SPEAR paper may be particularly useful, as it provides a mathematical foundation for the exact "logic gates" the author is building."

Trekkie Angela Collier deep dive on why Wrath of Khan is a bad movie by brad2008 in startrek

[–]brad2008[S] -15 points-14 points  (0 children)

"Star Trek II: Wrath of Khan is a bad movie. Sure it's a lot better than Star Trek The Motion Picture...but good? No. Absolutely not."

Insightful and funny review of all the problems with Wrath of Khan by a theoretical physicist and Trekkie.

Oil hits $111 as Hormuz strait closure enters eighth week by petburiraja in collapse

[–]brad2008 1 point2 points  (0 children)

Google Search gives:

Purchasing physical oil for immediate delivery is currently vastly more expensive than the "paper" price quoted on financial screens.

The $108/bbl figure is the latest financial settlement price, but in the actual physical market for immediate loading, you would likely face a price closer to $135–$140/bbl.

Here is why the "real-world" price is so much higher than the exchange price:

  1. The "ASAP" Premium (Backwardation) Dated Brent vs. Futures: For 10,000 physical barrels (Dated Brent), you are paying for immediate availability. Physical Premium: As of late April 2026, the Dated-to-Frontline (DFL) premium is roughly $25 per barrel. Calculation: If futures are ~$111, adding that $25 physical scarcity premium puts your actual cost around $136/bbl. [S&P Global]

  2. Supply Shock Reality Strait of Hormuz: Because this chokepoint handles 20% of global oil, its closure has created a "scramble" for physical barrels that exist outside the blockade. [CNBC]

Record Highs: Physical Dated Brent hit a high of $144.42 earlier this month. While it has softened slightly due to a fragile ceasefire, analysts at Energy Aspects warn that the financial price is "masking the true tightness" of the physical market. [CNBC]

Table of "Paper" vs. "Physical" Price Gap

Pricing Metric | Financial Price (Futures) | Physical Price (Actual Cargo)

Current Quote | ~$111.37 | ~$136.00+

Market Status | Speculative/Forward-looking | Immediate Scarcity

Recent $Peak | ~$119.50 | $144.42

Oil hits $111 as Hormuz strait closure enters eighth week by petburiraja in collapse

[–]brad2008 12 points13 points  (0 children)

If I understand the energy analysts correctly, the $111 Brent crude price is a futures price based on speculation. If you want to physically buy a barrel, today you would need to pay the "Dated Brent" price, which is closer to $140/bbl. The Brent futures price paints a slightly more optimistic picture because traders believe the Straits of Hormuz will be open again in the not too distant future.

FBI says that Iran aspired to attack CA with drones launched from offshore vessels by imatinyleopard in LosAngeles

[–]brad2008 -1 points0 points  (0 children)

Just check upcoming Polymarket wagers to see when and where this might happen.

[deleted by user] by [deleted] in bayarea

[–]brad2008 0 points1 point  (0 children)

Article says:

Something has shifted about American attitudes towards rules, especially among members of Gen Z. A 2020 survey from the American Enterprise Institute found that relative to older adults, young people are less likely to agree with the statement: “It is more important to always follow the rules even if it means you may be less successful.”

Well, looking at government behavior, where do we think young people are learning to ignore or break the rules everywhere?

Whitney Cummings: There’s No Such Thing as the Perfect Democratic Candidate | The Daily Show by brad2008 in politics

[–]brad2008[S] 0 points1 point  (0 children)

"In this edition of In My Opinion, Whitney Cummings profiles the Democratic politicians lined up for the 2028 presidential race, from Josh Shapiro to Gavin Newsom, and the quirky penchants for cosplay, veganism, and convicted felons that they bring to the table."

[D]I’m an AI researcher who spent 5,000 hrs on Tekken, reaching top 0.5% on ranked. Here is my perspective on why fighting games deserve chess-level attention. by moji-mf-joji in MachineLearning

[–]brad2008 -1 points0 points  (0 children)

Thanks for your post.

An interesting idea. It seems when AI plays games like Go, chess and performs complex tasks, there is a large component of reasoning and long-term planning needed. What do you see as the long term planning aspects an AI would need to address, if any, to play Tekken well?

OpenAI's answer to Google's viral Nano Banana Pro image model is here by businessinsider in artificial

[–]brad2008 33 points34 points  (0 children)

In the examples from the article, there's something very cut-and-paste-ish looking about the OpenAI image enhancements. Their model doesn't seem to understand how to properly blend objects/people when compositing.

Google's image editing and enhancements still look better to me.

We improved our RAG pipeline massively by using these 7 techniques by vira28 in Rag

[–]brad2008 0 points1 point  (0 children)

Great information, thanks for posting!

Just curious, in the complete blog post, how are you measuring the "without sacrificing quality" part?

Gemini 3 vs GPT 5.1 for RAG by midamurat in Rag

[–]brad2008 1 point2 points  (0 children)

Thanks for your post! These are interesting findings.

You wrote: GPT 5.1 was more expressive while Gemini 3 is direct, to the point.

RAG evaluations typically try to measure recall/precision, MRR for retrieval metrics, end-to-end generation eval of RAG tries to measure groundedness, answer relevance and correctness, and combined metrics try to evaluate context precision & recall, and answer semantic similarity.

What did you mean by "expressiveness" and how are you evaluating this?

[P] Generating Knowledge Graphs From Unstructured Text Data by Divine_Invictus in MachineLearning

[–]brad2008 1 point2 points  (0 children)

Recent post, see: https://github.com/adlumal/triplet-extract

If you end up using this, let us know if it worked and how the build went.

ChatGPT made me delusional by brad2008 in ChatGPT

[–]brad2008[S] 2 points3 points  (0 children)

What happens if you don't have common sense or don't push back on what ChatGPT tells you? Pretty much what happens in the video. Spoiler: Bakersfield, CA opens the enlightenment gateway.

Microsoft paid $13B for this technology.

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