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@vanillaCitron: First 30 Minutes with the iPhone Duo

X AI KOLs Timeline ↗ · 6d ago Cached

Blogger vanillaCitron shares their initial impressions after spending 30 minutes with the iPhone Duo, along with a link to the full write-up.

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@levie: The divergence in AI output weirdly may be the highest it’s ever been, even though adoption is the broadest it’s ever b…

X AI KOLs Following ↗ · 6d ago Cached

Aaron Levie argues that AI-driven productivity divergence is at an all-time high: agentic models, better harnesses and data have pushed frontier gains from 30-50% to potentially 5-10X in two years, widening the gap between frontier users and everyone else as RSI accelerates.

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@VraserX: Tibo is already hyping up GPT-6.2 Bel. Looks like we’re getting it TODAY. I have a feeling this is going to be a pretty…

X AI KOLs Following ↗ · 6d ago Cached

A tweet speculates that OpenAI's Tibo is hyping GPT-6.2 'Bel' and suggests a major AI release could drop today.

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@GithubProjects: Open-source image annotation: draw polygons, boxes, circles, and points https://osp.fyi/labelme

X AI KOLs Timeline ↗ · 6d ago Cached

A look at Labelme, an open-source Python/Qt image annotation tool for drawing polygons, boxes, circles, and points, featuring AI-assisted annotation via SAM, EfficientSAM, YOLO-World, and SAM3, plus VOC/CCO-format exports and video annotation support.

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@binance: Withdrawal data update By 03:00 UTC, we are seeing hourly deposits exceed withdrawals, reflecting improving user activi…

X AI KOLs Timeline ↗ · 6d ago Cached

Binance reports that hourly deposits have exceeded withdrawals as of 03:00 UTC, indicating improving user activity and stabilizing fund flows on the exchange.

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@KirkDBorne: Download 634-page PDF from MIT — ALGORITHMS FOR OPTIMIZATION — here: https://algorithmsbook.com/optimization/

X AI KOLs Timeline ↗ · 6d ago Cached

MIT Press's 634-page book "Algorithms for Optimization" is available as a free CC-BY-NC-ND PDF, with the second edition (featuring Julia implementations and new chapters on DCP, surrogate models, and multidisciplinary optimization) releasing January 5, 2027.

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@GKev1n: Stop obsessing over having Sub-agents review each other's code — you think it's "stepping on your own foot to reach the sky," but it's really "pickpocketing yourself." I couldn't agree more with poteto's take today!! She said outright that adversarial code review is mostly just burning tokens ——

X AI KOLs Timeline ↗ · 6d ago Cached

The author agrees with poteto, criticizing adversarial code review between sub-agents as a waste of tokens, pointing out its three fatal flaws — meaningless nitpicking, over-engineering, and mismatched compute — and noting that top teams are shifting toward real testing, formal verification, and actual red-teaming to find issues.

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@svlevine: RL can help collect good data, whether you're doing BC or RL. It can also stack two cubes on top of another cube. Fun p…

X AI KOLs Following ↗ · 6d ago Cached

RL can assist robot data collection during demonstrations through a technique called Data Inoculation, improving data quality for both behavior cloning and RL, as shown in a new paper on stacking cubes.

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@VMware: Using a "build once, replicate anywhere" model, China Medical University Hospital, Taiwan’s second-largest healthcare p…

X AI KOLs Timeline ↗ · 6d ago Cached

China Medical University Hospital, Taiwan's second-largest healthcare provider, uses VMware Cloud Foundation and vDefend to deploy compliant IT in under half a day while protecting clinical workloads with Zero Trust security.

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@elonmusk: Grok @Bot

X AI KOLs Following ↗ · 6d ago Cached

A user shares how Grok Bot autonomously shopped for auto insurance and called Progressive to inquire about glass coverage while they were driving, highlighting Grok's agentic capabilities.

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@TONYPAN91241629: Looking for compute sponsors I’m a self-funded student at UIUC building Loxeon, a runtime for self-organizing AI agent …

X AI KOLs Timeline ↗ · 6d ago Cached

A UIUC student is seeking compute sponsors for Loxeon, an Apache-2.0-to-be runtime where AI agent teams self-organize via formally specified primitives (identity, capability delegation, role rebinding, tree-based management, and epoch/ticket message validation), written in Rust and checked against a formal spec. The goal is to fairly benchmark whether multi-agent teams outperform single agents on real coding tasks (~$200 small / $1,500 full), with code, logs and results to be published regardless of outcome.

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@github: There's nothing like the magic of #GitHubUniverse Thanks for joining us in 2026. We can't wait to see what you build ne…

X AI KOLs Following ↗ · 6d ago Cached

GitHub thanks attendees for joining GitHub Universe 2026 and looks forward to what developers will build next.

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@joshmanders: Hey @Railway, is there a reason employee's of yours are trying to breach my infrastructure? Your employee Jake Runzer, …

X AI KOLs Timeline ↗ · 6d ago Cached

A user publicly accuses Railway employee Jake Runzer of attempting to breach their infrastructure, sparking a security-related allegation against the hosting platform.

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@0xGky: An Agent Skill that makes reading PDFs addictive — learn-from-materials turns hundreds of pages of material into an interactive learning website. Feed it PDFs, EPUBs, Word docs, PPTs, or web pages — it first reads through all the material, builds a knowledge base, and then generates learning pages. Most importantly…

X AI KOLs Timeline ↗ · 6d ago Cached

An introduction to the open-source Agent Skill "learn-from-materials," which converts hundreds of pages of material — PDF, EPUB, Word, PPT, web pages, and more — into an interactive learning website and knowledge base, with citation tracing precise down to page numbers and chapter sections. Compatible with environments like Claude Code, Codex, and Copilot CLI.

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@GCZZero: 推荐一个openwrt主题:vantage,实在是太好看了 https://github.com/anothaDev/luci-theme-vantage…

X AI KOLs Timeline ↗ · 6d ago Cached

推荐一个为 OpenWrt 25.12/24.10 从头构建的 LuCI 主题与实时网络仪表盘「Vantage」,包含主题 luci-theme-vantage 和应用 luci-app-vantage,提供健康检查、网络路径可视化、实时吞吐量与客户端管理等功能。

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@FinanceYF5: Someone rebuilt a better YouTube in 2 hours 1/ YouTube’s recommendations weren’t good enough, so Karpathy simply rebuilt it himself. He had Claude analyze 43 million comments from the past 20 years of Hacker News and identify the repeatedly recommended 6,4…

X AI KOLs Following ↗ · 6d ago Cached

Karpathy used Claude to analyze 43 million Hacker News comments from the past 20 years, identify 6,454 repeatedly recommended videos, and rebuild HackerTube into a better YouTube recommendation tool in about 2 hours.

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@rohanpaul_ai: New Google and University of Hong Kong paper argues that when AI agents use computers, their own “task done” message sh…

X AI KOLs Following ↗ · 6d ago Cached

A Google and University of Hong Kong paper proposes VeriCUA, which verifies computer-use agent tasks by checking saved files and app state instead of trusting the agent's own completion report, cutting false positives to 5.4% versus 24.8% for a VLM judge.

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@OpenAI: The updated bug bounty rewards also apply to reports awaiting a bounty. For bounties awarded in the past 30 days, we’ll…

X AI KOLs ↗ · 2026-11-03 Cached

OpenAI is more than quadrupling bug bounty reward ranges for medium, high, and critical vulnerabilities, adding quality multipliers, a tiered loyalty program, priority campaign bonuses, and retroactive payments for recent awards.

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@OpenAI: As AI becomes more capable at finding vulnerabilities, defenders need to put it to work before attackers do. We’re plan…

X AI KOLs ↗ · 2026-11-03 Cached

OpenAI announced its next internal security sprint, partnering with Cathedral Systems to use its models to find and fix vulnerabilities, while quadrupling bug bounty rewards with critical findings eligible for up to $172,000.

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@bkdgiffug: Many people want to get into quant trading, but what trips them up isn't really the strategy itself — it's that all the tools are scattered and hard to piece together. Here are 6 GitHub projects that can basically connect the whole chain of learning → strategy → backtesting → live trading interfaces: awesome-quant: a central entry point for quant tools, with data, backtesting, risk…

X AI KOLs Timeline ↗ · 2026-11-03 Cached

A collection of 6 GitHub quant trading projects that connect the learning → strategy → backtesting → live trading pipeline: awesome-quant, machine-learning-for-trading, quant-trading, backtrader, zipline, and ccxt.

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