Self-Sacrifice leads to true growth. selfishness leads to greed and decay of Moral values.

Dark but true

جب عوام کے ریلیف کی بات آتی ہے تو یہ کہتے ہیں آئی ایم ایف نہیں مانتا۔ جب اپنے اقتدار جانے کا خوف آیا تو یہ کروڑوں روزانہ جو سیکیورٹی کے نام پر خرچ کر رہے ہیں، یہ آئی ایم ایف کی رضامندی سے ہے؟

how to give your agents the best research in the world... the whole setup is ONE simple skill... here's how to build it: - web engine: Parallel for search, full-page extract, and deep research runs that return every claim with its source - last30days: what real people said in the last 30 days across Reddit, X, YouTube, TikTok, Instagram, Hacker News and Polymarket - YouTube: searches the videos and pulls the full transcripts, so an hour-long walkthrough becomes text my agents can quote - x-search: live X through Grok, the fastest read on what's moving today - Firecrawl: pulls the full text when a page fights back, anti-bot walls and X posts included but the tools are the easy half... the rules are the research: > a tool's summary is a lead, never proof... evidence starts when the source page is fetched as full text > a finding needs 3 independent sources or 1 primary source, single-account hype stays marked as unconfirmed > 3 skeptic agents attack every claim (correctness, recency, source quality) and the majority vote wins > one sweep hunts only for people saying it's wrong > everything lands in the vault with an expiry date, so the next run starts from what i already own your agent is only as good as the worst source it believed

might start evil coping like this

If the AI Doomers were actually based they'd start a Manhattan project for biological superintelligence

AI personality traits are a reflection of human narcissistic personality.

准备面试 AI 岗位，想知道 Anthropic、OpenAI 这些大公司到底爱问什么，只能一个个帖子翻。 有人把 35 家公司公开流出的 AI 工程面试题，按公司逐家整理成了一个仓库，能找到解答的题目下面直接附了链接。 先看跨公司的高频题，注意力机制、KV 缓存、检索增强、Agent、系统设计这些分成 10 类，每题都标了哪几家问过。 GitHub：github.com/pallavi-shekhar/a… 每家公司还写了面试流程。像 Anthropic 是 30 分钟初筛、70 到 90 分钟编程测评，再加五轮左右，前后 3 周到 2 个月。 我觉得最有意思的是题目本身，比如「5 万份文档要跑一遍模型调用，接口只让开 100 个并发还会报错，代码怎么写」。 还有一题问，像 Claude Code 这样的编码 Agent，模型和外面那层框架哪个更重要，现在的面试确实很贴近实际工作了。 打算往大模型应用、Agent 方向投简历的，先把前面那 10 类高频题过一遍。

JUST IN: Study finds 5+ cups of coffee per day linked to lower body fat, higher muscle mass, and higher testosterone in men

At HUAWEI CONNECT 2026, Huawei launched the industry's first NPO-based SuperPoD, the Atlas 960E SuperPoD, designed to accelerate training and inference for 10-trillion-parameter models. Powered by UnifiedBus and Hi-ONE, it can scale to 4,096 NPUs.

The goal of building any technology, AI included, should be bettering human lives and society.

Happy to join Sakana AI as Chief Scientific Advisor :-)

Introducing Agora-2, our next-generation multi-agent world model. Agora-2 supports up to 20 humans and agents interacting inside a shared environment, all simulated in real time. Our multiplayer research preview is available to try right now!

Researchers built an analog chip that runs LLM attention 100x faster than an H100 and uses 70,000x less power. It's called GainCellAttention. Every AI chip you use is built on an 80-year-old flaw called the von Neumann architecture. the processor and the memory are physically separated. To generate a single word, a GPU has to shuttle massive amounts of data back and forth across this divide. Over and over again. Moving that data costs up to 10,000x more energy than actually doing the math. But a team of researchers published a paper in Nature that completely destroys this bottleneck. They built an analog in-memory computing architecture. Instead of moving data from the memory to the processor, they put the processor inside the memory. Using emerging hardware called "gain cells," the AI performs its most expensive calculation, the attention mechanism, directly inside the storage arrays. The data never moves. The compute happens exactly where the memory lives. The result? A massive leap in energy efficiency and speed. It completely eliminates the latency of fetching data for every single token. It is building AI chips that function exactly like the human brainwhere memory and computation are the exact same thing.

Introducing Drama 3 (preview): the most controllable TTS model ever. Describe the tone, pacing, and character in simple language, without thinking in audio tags. Shift your voice mid-sentence, generate a multi-character scene, or fix only a single word. Comment DRAMA to get an API key 🐟

Math now. Physics soon. Then biology (either after physics or at the same time). When AI starts tearing through major open problems across all three, the scale of progress could become difficult to process in real time. Entire fields will go from years between major breakthroughs to breakthroughs arriving every week. People will be left speechless. We will become an entirely new civilization.