analysis

Tag

Cards List
#analysis

@FinanceYF5: 1/3 What kind of startups are most likely to get top-tier VC investment? Deedy analyzed around 60 features across 5,000 startups and found the 15 strongest correlating signals. The top-ranked factor isn't a prestigious school, serial entrepreneurship, or big-tech experience — it's [having worked at a top fund]. An MBA, on the other hand, is actually a negative…

X AI KOLs Following ↗ · 2026-11-02 Cached

Deedy analyzed about 60 features across roughly 5,000 startups and identified the 15 signals most strongly correlated with top-tier VC investment. The strongest signal is "having worked at a top fund," while an MBA background is actually a negative signal.

0 favorites 0 likes
#analysis

@FinanceYF5: A Breakdown of YC's 2026 Crypto Startup Guide — YC's crypto startup guide lays out nine directions, and not a single one of them is launching a token. Whether any of them can scale comes down to one thing: is anyone paying for it today. A single stablecoin card has already processed $1 billion in transactions; AI agents ran 230 million transactions in a year and paid a combined total of just $54 million. The hottest AI directions are the ones people are least willing to pay for…

X AI KOLs Following ↗ · 2026-11-01 Cached

A breakdown of YC's 2026 crypto startup guide: none of the nine directions involves launching a token. The core test is whether anyone is paying for it today — stablecoin cards have already hit $1 billion in transactions, while AI agents' 230 million annual transactions generated only $54 million in payments, meaning the hottest AI directions show the weakest willingness to pay.

0 favorites 0 likes
#analysis

MIT's claim that 95% of AI pilots fail - Is this true?

Reddit r/artificial ↗ · 2026-10-30 Cached

一年后回顾MIT"95%的AI试点失败"这一广为引用的数据:该数字本身是基于对报告漏斗的误读和仅153份问卷的垃圾统计,但后续来自McKinsey、Deloitte、Capgemini及政府统计的数据表明,其背后的诊断——多数企业AI支出仍未反映到损益表上——大体成立。

0 favorites 0 likes
#analysis

@OpenHandsDev: The cheapest LLM isn’t always the cheapest way to complete a task. New analysis shows how switching models mid-session …

X AI KOLs Following ↗ · 2026-10-27 Cached

新分析指出,最便宜的 LLM 并不总是完成任务的最便宜方式:在会话中途切换模型可能因丢失上下文缓存而抵消成本节省,智能路由应优化整个工作流而非仅看模型价格。

0 favorites 0 likes
#analysis

@vasuman: "AI and jobs is a complex equation". No kidding. Great prescriptive analysis for enterprises, based on real client enga…

X AI KOLs Following ↗ · 2026-10-17 Cached

A commentary highlighting a prescriptive analysis on how AI impacts jobs, drawing on real enterprise client engagements to help organizations navigate workforce changes.

0 favorites 0 likes
#analysis

ASI loading: Today, I mapped 210 human abilities against the best AI systems in 2026. AI beats the best humans alive on 45/210 of them.

Reddit r/ArtificialInteligence ↗ · 2026-10-15

作者将210项人类能力(基于CHC与O*NET分类)与2026年最强AI系统逐一对照:AI在45项能力上超越了地球上最优秀的人类,70%的能力上超过中位数成年人;从顶尖专家视角看,ASI大约完成了41%。

0 favorites 0 likes
#analysis

It's been too quiet on the other side of the Pacific

Reddit r/LocalLLaMA ↗ · 2026-10-13

An opinion piece suggesting there has been a notable lull in AI activity from China (the other side of the Pacific), hinting at shifting dynamics in the global AI race between the US and China.

0 favorites 0 likes
#analysis

Where is all the new, good software?

Lobsters Hottest ↗ · 2026-10-13 Cached

Nate Meyvis 探讨了为什么在 AI 编码工具盛行的当下,人们似乎没有看到更多全新且优秀的软件,并列举了九个推测性的解释,包括软件改进以不易察觉的方式发生、私有软件取代公开软件等。

0 favorites 0 likes
#analysis

REA Reverse – Engineer Anything

Hacker News Top ↗ · 2026-10-10 Cached

REA 是一款面向编码代理的逆向工程工具,通过 `npx rea-agents@latest setup` 安装,可让 AI 代理检查程序的汇编与反编译代码,并用自然语言解释软件行为或重建功能逻辑。

0 favorites 0 likes
#analysis

Accelerating rate of Major AI Model Releases

Reddit r/singularity ↗ · 2026-10-01

This article examines the accelerating pace at which frontier AI models are being released, highlighting the trend of shorter intervals between major model launches.

0 favorites 0 likes
#analysis

@ParadisLabs: Recommended reading for the weekend: 1. @alexandr_wang — Why I'm Building Muse 2. @gregisenberg — AI-native services: a…

X AI KOLs Timeline ↗ · 2026-09-25 Cached

A curated weekend reading list recommending articles on AI topics, including Muse, AI-native services, and Google's Project Suncatcher.

0 favorites 0 likes
#analysis

@venkyganesan: As a follow-up to my history doesn't repeat, but it rhymes post -https://x.com/venkyganesan/status/2102254070589456839……

X AI KOLs Following ↗ · 2026-09-23

The post is a follow-up analysis highlighting the top 10 private venture-backed company collapses from the dot com era.

0 favorites 0 likes
#analysis

Cheap per token, expensive per task: AI model pricing vs. performance [OC]

Reddit r/artificial ↗ · 2026-09-23

The article analyzes the cost-effectiveness of AI models like Anthropic's Opus 5.5 and ChatGPT's Astra, using Artificial Analysis scores to compare per-token pricing versus task completion efficiency.

0 favorites 0 likes
#analysis

PDF Forgeries Are Surprisingly Rare (2022)

Hacker News Top ↗ · 2026-09-20 Cached

This blog post analyzes the surprising rarity of PDF forgeries in online fraud, despite the ease of editing PDFs, and explores reasons such as verification practices and the circulation of new documents instead of altered ones.

0 favorites 0 likes
#analysis

How Hacker News ranking works: scoring, controversy, and penalties (2013)

Hacker News Top ↗ · 2026-09-19 Cached

This article provides a detailed analysis of the Hacker News ranking algorithm, explaining scoring formulas, penalties for controversial stories, and how reranking and caching affect front-page visibility.

0 favorites 0 likes
#analysis

The Awesome and Alarming AI Visions of Anthropic's CEO (10 minute read)

TLDR AI ↗ · 2026-09-18

This article examines the writings of Anthropic CEO Dario Amodei to shed light on his visions and influence in the AI industry.

0 favorites 0 likes
#analysis

A Letter from a Machine Learning Engineer

Lobsters Hottest ↗ · 2026-09-14 Cached

An anonymous letter from an ML Engineer at a frontier AI lab warns about the limitations of scaling LLMs, the rise of open-source models threatening proprietary ones, and the unsustainable business models of major AI companies.

0 favorites 0 likes
#analysis

The Open Field Log for AI Agents to Track, Sketch, and Analyze the World 🤖📝

Reddit r/AI_Agents ↗ · 2026-09-14

An open field log designed for AI agents to track, sketch, and analyze their interactions with the world, focusing on transparency and authentic reasoning.

0 favorites 0 likes
#analysis

Nobody pays for open source. We can force them to

Lobsters Hottest ↗ · 2026-09-13 Cached

The article analyzes why open source software remains free using evolutionary game theory and shows that attempts to monetize through restrictive licenses have led to failed outcomes and successful forks.

0 favorites 0 likes
#analysis

Deceptive model quantization from AtomicChat?

Reddit r/LocalLLaMA ↗ · 2026-09-01

An analysis suggests that AtomicChat's Qwen3.8-Flash-Next quant may be deceptive by misrepresenting IQ2_S tensors as Q4_K_M, highlighting potential transparency issues in model quantization.

0 favorites 0 likes
Next →
← Back to home

Submit Feedback