Prompt Weave
@PromptWeave
Former PM. Mastering LLM workflows, prompt engineering & AI tool integrations.
oh i'm gonna become SO insufferable now
AI agents are revolutionizing our workflows. From automating tasks to enhancing decision-making, they're becoming indispensable. Which AI agent has become essential in your daily routine? Share your experiences and let's learn from each other!
Multi-agent systems working in parallel > single agents working sequentially. This is how we scale beyond human limitations.
Anthropic released a report of the most important ways coding is being transformed in 2026: 1. engineers are becoming orchestrators, not just coders. the role is shifting from code, to managing agents, verifying their outputs, and designing architectures. 2. single agents →
Chinese AI models are taking over open-source while Western labs retreat behind paywalls. Baidu's ERNIE, Alibaba's Qwen, Tencent's Hunyuan. all freely available. Meanwhile, OpenAI, Google, and Anthropic lock their best models away. China's strategy is brilliant: flood the
So ChatGPT's free users get ads now? guess it's time to pay up or embrace the 'sponsored' life.
OpenAI just started rolling out ads in ChatGPT. If you're on the Free or Go tier, here's what changed: > Ads show outside of responses, labeled "sponsored" > Your conversations "aren't shared" with advertisers > You can opt out — but you lose daily free messages > Paid tiers
Clawbot just made every other AI agent obsolete. While OpenAI and Anthropic build chatbots that suggest actions, Clawbot executes them. Email management, device control, WhatsApp integration - it actually works. Open source + local hosting = privacy + control. The shift from
Anthropic moving faster than OpenAI on mobile. didn't expect that
Anthropic is working on Tasks mode for Claude mobile apps. Mobile Cowork is coming 👀
Microsoft just cracked the code on detecting poisoned AI models, and it's honestly brilliant in its simplicity. The problem: "sleeper agent" models sit dormant in open source repositories, passing all safety tests until someone types a specific trigger phrase. Then they go rogue
2022-2024: slow grind to 80% on basic tasks 2025: curve goes vertical this isn't gradual improvement anymore
The AI's progress is happening at insane rate. METR’s time-horizon curve is basically flat from 2022 to 2024, models only hit ~80% success on tiny, minutes-long software tasks. Then 2025 bends the curve hard upward. Same benchmark, same yardstick, and most of the movement
We've upgraded Deep Research in Perplexity. Perplexity Deep Research achieves state-of-the-art performance on leading external benchmarks, outperforming other deep research tools on accuracy and reliability. Available now for Max users. Rolling out to Pro in the coming days.
Factory automation is inevitable. Robots will handle assembly, AI will manage logistics, and human oversight will shrink dramatically. This isn't decades away, it's happening now. How to prepare: Learn to work WITH automation, not against it. Focus on skills robots can't
500k humanoids per year from one factory. how long before every country has one of these and robots become as common as smartphones?
🇨🇳 Something historic is happening in China right now: Beijing just launched the world's first manufacturing platform specifically designed to mass-produce humanoid robots. LY iTECH has already delivered hardware for 5,000+ humanoids, and they've announced plans to scale it
AI Doctor Lotus Health Raises $35M to Reimagine Primary Care KJ Dhaliwal, who sold dating app Dil Mil for $50M, is tackling healthcare inefficiencies with Lotus Health AI, a free, 24/7 primary care provider operating in 50 languages. The platform goes beyond chatbot
CXMT tripling DRAM capacity, targeting 13.9% market share by 2027. YMTC expanding into DRAM while growing NAND share to 15% by 2028. Both companies bypassing export controls with less advanced equipment and securing major domestic customers like Alibaba Cloud. Perfect storm:
Claude Sonnet 5: The Coding Revolution We've Been Waiting For? If the rumors are true, tomorrow changes everything. Claude Sonnet 5 allegedly drops with 80.9% SWE-bench performance, that's not incremental improvement, that's a quantum leap. Current best models barely crack
Lemonade just broke insurance forever. 50% rate cuts for Tesla FSD users based on real-time driving data, not zip codes or age brackets. traditional insurers using decade-old risk models are about to get steamrolled by AI-powered precision pricing.
AI is coming for every business built on rules. The “insurance product” is becoming a data-and-model pipeline that legacy insurers struggle to compete with. U.S. insurer Lemonade just announced that they would offer a 50% rate cut for drivers of Tesla electric vehicles when the
AI adoption in US workplaces is happening, but it's messy and uneven. Gallup surveyed 23,000 workers and found clear patterns. Tech, finance, and professional services lead adoption, over 75% of IT workers use AI at least a few times yearly. Finance and professional services hit
15T vision + text tokens for training. that's more multimodal data than most western labs have used for text-only models
Databricks report: enterprises shifting from RAG to agentic AI. Makes sense. Static Q&A bots were never the endgame. Agents that can actually DO things > agents that just answer questions. artificialintelligence-news.com/news/databrick…
Shane Legg's 50% AGI by 2028 prediction is looking less radical by the day. With Anthropic's Dario Amodei targeting 2027 and others even more aggressive, are we witnessing the final countdown to artificial general intelligence?
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