x feed intelligencenotebook 28 briefs

Saved

Everything you saved, tested

28 briefs, 66 sources read. Each bookmark is searched, quoted and graded, not summarised.

28briefs
66sources
19days
7categories

October 2026

18 briefs

20 Oct

Alejandro AO compressed a 30-minute lecture into a 7-minute video using Opus 5.5 for scripting and Qwen3 TTS for narration. Worth trying: test whether Qwen3 TTS alone handles lecture-length narration acceptably before pairing it with a model.

20 OctAlejandro AO distills 30 min lecture into 7 min voice video with Opus 5.5Opus 5.5 can plan and render a 7-minute explainer video from a 30-minute lecture, but voice cloning via Qwen3 TTS still needs work.1 contested4 unchecked4 sources

19 Oct

Alejandro AO promises a tutorial on pi durable with checkpoints and crash recovery, but the linked page only defines the number 3.14159. The llama.cpp demo and the math constant don't match, so the tutorial content is unverified until the correct link is…

19 OctTutorial on pi durable checkpoints and crash recoveryThe post announces a recorded tutorial covering pi durable checkpoints, crash recovery, harness versus app, architecture, setup steps, and a local Qwen demo.outline only

13 Oct

Edo Lunardi put together mkdir.directory, a free list of 34 web design inspiration directories. Worth bookmarking it before the next project starts, so I stop wasting time Googling "best design sites" at 11pm.

13 OctEdo launches free web design directoryEdo Lunardi launched mkdir.directory, a free curated list of 34 web design inspiration directories.5 supported3 sources

11 Oct

Diana and David put together a Google Doc of NYC food picks for 2026 World Championships attendees. Worth checking whether the list covers the neighborhoods you'll actually be in, since a masterlist can be too broad to use.

11 OctDiana Coven publishes 2026 NYC food masterlistDiana Coven published a Google Docs food recommendations masterlist for NYC ahead of the 2026 World Championships.2 contradicted1 unchecked2 sources

10 Oct

A scalper claims a 90.89% hit rate on MNQ 5-minute ORB extensions to the 50% level, while Lauren asks followers what they built with @bot this week. These two posts have nothing to do with each other.

10 OctORB on MNQ superior to retail vendor conceptsThe Opening Range Breakout on MNQ is superior to other retail trading concepts, with a claimed 90.89% rate of price driving to the 50% extension.outline only
10 OctLauren asks what people built with Grok botLauren asks followers what they built with @bot, but the evidence only confirms her GitHub identity and a Grok Bots profile page.1 supported1 contested2 sources

9 Oct

Three posts from two accounts all make trading-performance claims with no verifiable numbers or sources attached. Worth checking whether either account has ever posted a real trade log or P&L screenshot before taking the next claim at face value.

9 OctPortfolio pushing ATHs in premarketThe author's portfolio is reaching all-time highs in the premarket despite a difficult trading stretch.outline only
9 OctIan Lee tmmrwseoul posts vague trading strategy alphaIan Lee claims a single unnamed strategy is his only alpha but provides no specifics.1 supported3 unchecked1 sources
9 OctIan Lee claims unnamed R value secures trading edgeIan Lee asserts an unnamed R value guarantees returns during uncertain market conditions without providing data or sources.2 contradicted1 unchecked3 sources

7 Oct

One post pitches a four-month Codex App workflow with no proof beyond OpenAI existing; the other reports a real fine-tuning result on Qwen3.5. They have nothing in common. I'd skip the first and read the Unsloth repo to see if the 74.3 percent number holds up.

7 OctSoham Bafana shares Codex App discovery methodSoham Bafana describes a four-month Codex App workflow for information discovery, linking a Google Doc on alpha generation via self-editing heartbeats with seeds.1 contradicted2 unchecked1 sources
7 OctUnsloth trains Qwen3.5 0.8B to 74.3 percent accuracyUnsloth AI reports raising Qwen3.5 0.8B decision accuracy from 20.7 to 74.3 percent on 4GB VRAM using its open-source repo.1 supported1 contested3 unchecked3 sources

6 Oct

Two of the three posts are just screenshots of a trending tab with no analysis behind them. The Meta Rebalancer post is the only one with substance, but it links to nothing useful yet, so I'd wait for actual documentation before spending time on it.

6 OctRishi Mishra posts FanDuel NBA tipoff screenshotRishi Mishra shares a screenshot of FanDuel's NBA tipoff promo alongside trending topics, with no substantive claim to verify.1 contested3 unchecked3 sources
6 OctMeta open-sources nine-year Rebalancer assignment solverMeta open-sources Rebalancer, an assignment-problem solver used internally for nine years, but the linked evidence contains no technical documentation or code.1 contradicted1 unchecked2 sources
6 OctRishi Mishra posts vague trending tab screenshotRishi Mishra shares a screenshot of his Twitter trending tab with no analytical content or verifiable claims.1 contradicted1 unchecked3 sources
6 OctRishi Mishra posts screenshot of FanDuel NBA promoRishi Mishra shares a screenshot of his Twitter trending tab showing a FanDuel NBA ad, with no analytical content.1 contested1 unchecked3 sources

5 Oct

Cybersec published a vulnerability hunting methodology and publicly credited Blackfrost AI for open-sourcing their Cyber-Frost Harness. Worth doing: read the Cyber-Frost Harness repo to see whether the methodology matches what Blackfrost actually built.

5 OctCybersec credits Blackfrost AI for methodologyCybersec announces a vulnerability hunting methodology and credits Blackfrost AI for open-sourcing Cyber-Frost Harness.1 contradicted3 sources

4 Oct

A Prime Intellect job posting for RL and distributed training work lists two book recommendations, and Hesamation called that out. Worth doing: read the two books before applying, or at least skim them so you can speak to them in an interview.

4 OctPrime Intellect RL roles include reading listPrime Intellect attaches a two-book reading list to RL and distributed training job postings, signaling engineering culture priorities.1 supported2 unchecked2 sources

3 Oct

Avi flags AI biotech economics and recursive AI as megatrends, but the evidence provided only backs up the recursive AI claim. Worth doing: ask Avi for the supporting material on AI biotech before treating it as a confirmed trend.

3 OctAvi lists AI biotech and recursive AI megatrendsAvi names AI biotech economics and recursive AI as top megatrends, but the provided evidence only covers the latter.1 supported1 unchecked3 sources

September 2026

7 briefs

29 Sep

Codie Sanchez says Joe Hudson coaches Sam Altman and other big-name leaders, but the only proof she offers is a Wikipedia page about an R&B singer. Worth doing: ask her to name the actual coach or link a real bio before repeating the claim.

29 SepCodie Sanchez promotes Joe Hudson coaching rulesCodie Sanchez promotes Joe Hudson's seven operating rules for coaching billion-dollar businesses, but the provided evidence only confirms Hudson coaches Sam Altman.1 supported3 unchecked3 sources

27 Sep

Stoic asks how to compare perpetual futures and spot prices but names no platforms or numbers. Worth doing: ask him which exchange he uses so the question gets concrete.

27 SepStoic asks how to watch perps versus spotStoic asks how to watch perpetual futures versus spot behavior and which platforms to use, but provides no data or platform specifics.1 contested2 unchecked3 sources

25 Sep

Kris Abdelmessih promotes his Moontower Meta archive but provides no actual evidence of its content, while Gappy shares a concrete Google Drive folder of ten quant finance summaries. The two posts have little in common beyond both being finance-related;…

25 SepKris Abdelmessih discusses moontower archive and trending topicsKris Abdelmessih acknowledges the popularity of his moontower archive at trading firms while listing current trending topics.outline only
25 SepGappy shares Google Drive folder of quantitative finance summariesGappy shares a Google Drive folder containing 10 quantitative finance summary files spanning topics from abnormal returns to yield.3 supported3 sources

24 Sep

These two posts amount to claims without evidence: one maps hedge fund strategies to beta factors with no return data shown, the other defines "family" instead of describing the trading internship. Neither gives me anything to actually work with.

24 SepHedge fund strategies reduce to beta factorsMost hedge fund strategies are just repackaged beta exposures across rates, credit, equities, commodities and volatility.2 contested3 unchecked4 sources
24 SepPoker player takes $230 hourly family office trading internshipA two-year poker player earning $170k annually accepts a $230 hourly family office trading internship, but the provided evidence only defines the word family.1 contradicted1 unchecked3 sources

16 Sep

Teortaxes plans to run DeepSeek Harness inside Dataelem's DSH Desktop client. That's one person's test plan, so there's nothing to connect it to yet. Worth doing: see if anyone at Dataelem acknowledges the test before it happens.

16 SepTeortaxes plans to test DeepSeek Harness in DSH DesktopA self-described DeepSeek fan says he will test DeepSeek Harness inside the DSH Desktop client built by Dataelem.2 supported1 unchecked3 sources

June 2026

1 briefs

17 Jun

Damnang made his paid Substack articles on co-packaged optics free so more investors can read them. Worth doing: read the articles and note which CPO companies he flags, since he's signaling he wants wider eyes on this specific AI infrastructure angle.

17 JunDamnang makes paid CPO articles freeDamnang made his paid Substack articles on co-packaged optics free to broaden investor understanding of the AI infrastructure theme.1 supported1 contested1 unchecked3 sources

April 2026

1 briefs

13 Apr

Alex Izydorczyk says AI trading bots tested out of sample show no persistent edge over random results. Worth doing: treat any bot's backtest as unproven until it survives a real out-of-sample window.

13 AprAI trading bots show no persistent edgeAlex Izydorczyk argues that AI trading bots tested out of sample have shown no persistent edge over random results.4 supported3 sources

January 2026

1 briefs

20 Jan

SixSigmaCapital reposts an old stock-entry article that includes no verifiable performance data, so it amounts to recycled opinion with nothing to check. Worth doing: ignore the repost and look for the original article's actual backtest numbers before…

20 JanSixSigmaCapital resurfaces stock entry framework postSixSigmaCapital reposts a 2026 article on buying stocks near lows, but the linked evidence contains no verifiable performance data.1 supported1 contradicted1 unchecked3 sources