📊 Collected 10 (out of 17) items for you
— 🚀Quick Summary 🚀 —
1. 🧪 Karpathy's autoresearch: ~100 ML experiments per night on 1 GPU — Shopify used it to get 53% speedup in Liquid
2. 🤖 AI agent hacked 3 consumer robots in 7h: 38 vulns, 267 lawnmowers compromised worldwide
3. 🐕 AI-designed personalized mRNA cancer vaccine for a dog — tumor reduced 50%
4. 🔍 Anthropic Code Review (agents per PR, 84% hit rate) + OpenAI Codex Security (792 critical vulns in 1.2M commits)
5. 📱 Expo Agent: native iOS/Android from prompt using real SwiftUI/Jetpack Compose, built on Claude Code
6. 🔊 TADA: open-source TTS, 5x faster than alternatives, zero hallucinations, runs on mobile
7. 🖥️ RTX 4090 modded to 48GB — plug-and-play with vllm, zero config
8. 📦 Upstash Box: serverless cloud sandboxes for AI agents
9. 🧠 Nvidia Nemotron 3 Super: Mamba+Transformer hybrid, 5x throughput, 1M token context
10. 🪟 Claude Code context window now 1M tokens GA (Opus 4.6 for Max/Team/Enterprise, Sonnet 4.6 for Pro)
— ✅Details ✅—
1. 🧪 Karpathy released autoresearch — a script for autonomous ML experiments running ~100 iterations overnight on a single GPU. Shopify's CEO applied the same approach to Liquid and got a 53% performance improvement. Practical, reproducible, open-source.
link: https://t.me/nobilix/235
2. 🤖 Alias Robotics' CAI agent hacked 3 consumer robots in ~7 hours: found 38 vulnerabilities (16 critical). Highlights: 267 lawnmowers remotely controllable via hardcoded cloud passwords, Bluetooth exoskeleton with zero auth (motor disable = broken legs), window-cleaning robot that can be dropped from 20 floors. Vendors ignored the responsible disclosure. Paper: arxiv.org/abs/2603.08665
link: https://t.me/NeuralShit/7269
3. 🐕 Entrepreneur used AI tools + AlphaEvolve to analyze his dog's cancer genome, identify mutation targets, then worked with UNSW RNA Institute to produce a personalized mRNA vaccine. One of the largest tumors shrunk ~50%. First case of a custom mRNA cancer vaccine for a dog — second version already in progress.
link: https://t.me/data_secrets/8864
4. 🔍 Two major AI code-review moves this week: Anthropic launched Code Review for Claude Code — a dedicated agent per PR, flags issues in 84% of large PRs at $15–25 each. OpenAI's Codex Security scanned 1.2M commits in its first cycle and surfaced 792 critical vulnerabilities.
link: https://t.me/nobilix/235
5. 📱 Expo Agent (beta): generate native iOS/Android apps from a text prompt. Outputs real SwiftUI and Jetpack Compose, compiles and deploys from the browser. Powered by Claude Code — worth trying if you're building mobile prototypes.
link: https://t.me/nobilix/235
6. 🔊 TADA (HumeAI) — new open-source TTS model: 5x faster than comparable alternatives, claims zero hallucinations, runs on mobile. Worth evaluating as a drop-in for agent voice output.
link: https://t.me/nobilix/235
7. 🖥️ RTX 4090 modded to 48GB VRAM — inserted into a server, vllm detected it automatically, reserved memory for cache, zero manual config. Good field report for anyone considering the mod for local inference.
link: https://t.me/evilfreelancer/1586
8. 📦 Upstash Box: serverless cloud sandboxes for AI agents, pay-per-use. Useful for running agents that need isolated execution environments without managing infra.
link: https://t.me/nobilix/235
9. 🧠 Nvidia released Nemotron 3 Super — hybrid Mamba+Transformer MoE architecture: 5x inference throughput vs comparable dense models, 1M token context window. Open weights, agentic reasoning focus.
link: https://t.me/nobilix/235
10. 🪟 Claude Code context expanded to 1M tokens (GA). Max/Team/Enterprise plans default to Opus 4.6 1M; Pro subscribers get Sonnet 4.6 1M. Relevant if you're running large codebase sessions.
link: https://t.me/aioftheday/4280
— 🚀Quick Summary 🚀 —
1. 🧪 Karpathy's autoresearch: ~100 ML experiments per night on 1 GPU — Shopify used it to get 53% speedup in Liquid
2. 🤖 AI agent hacked 3 consumer robots in 7h: 38 vulns, 267 lawnmowers compromised worldwide
3. 🐕 AI-designed personalized mRNA cancer vaccine for a dog — tumor reduced 50%
4. 🔍 Anthropic Code Review (agents per PR, 84% hit rate) + OpenAI Codex Security (792 critical vulns in 1.2M commits)
5. 📱 Expo Agent: native iOS/Android from prompt using real SwiftUI/Jetpack Compose, built on Claude Code
6. 🔊 TADA: open-source TTS, 5x faster than alternatives, zero hallucinations, runs on mobile
7. 🖥️ RTX 4090 modded to 48GB — plug-and-play with vllm, zero config
8. 📦 Upstash Box: serverless cloud sandboxes for AI agents
9. 🧠 Nvidia Nemotron 3 Super: Mamba+Transformer hybrid, 5x throughput, 1M token context
10. 🪟 Claude Code context window now 1M tokens GA (Opus 4.6 for Max/Team/Enterprise, Sonnet 4.6 for Pro)
— ✅Details ✅—
1. 🧪 Karpathy released autoresearch — a script for autonomous ML experiments running ~100 iterations overnight on a single GPU. Shopify's CEO applied the same approach to Liquid and got a 53% performance improvement. Practical, reproducible, open-source.
link: https://t.me/nobilix/235
2. 🤖 Alias Robotics' CAI agent hacked 3 consumer robots in ~7 hours: found 38 vulnerabilities (16 critical). Highlights: 267 lawnmowers remotely controllable via hardcoded cloud passwords, Bluetooth exoskeleton with zero auth (motor disable = broken legs), window-cleaning robot that can be dropped from 20 floors. Vendors ignored the responsible disclosure. Paper: arxiv.org/abs/2603.08665
link: https://t.me/NeuralShit/7269
3. 🐕 Entrepreneur used AI tools + AlphaEvolve to analyze his dog's cancer genome, identify mutation targets, then worked with UNSW RNA Institute to produce a personalized mRNA vaccine. One of the largest tumors shrunk ~50%. First case of a custom mRNA cancer vaccine for a dog — second version already in progress.
link: https://t.me/data_secrets/8864
4. 🔍 Two major AI code-review moves this week: Anthropic launched Code Review for Claude Code — a dedicated agent per PR, flags issues in 84% of large PRs at $15–25 each. OpenAI's Codex Security scanned 1.2M commits in its first cycle and surfaced 792 critical vulnerabilities.
link: https://t.me/nobilix/235
5. 📱 Expo Agent (beta): generate native iOS/Android apps from a text prompt. Outputs real SwiftUI and Jetpack Compose, compiles and deploys from the browser. Powered by Claude Code — worth trying if you're building mobile prototypes.
link: https://t.me/nobilix/235
6. 🔊 TADA (HumeAI) — new open-source TTS model: 5x faster than comparable alternatives, claims zero hallucinations, runs on mobile. Worth evaluating as a drop-in for agent voice output.
link: https://t.me/nobilix/235
7. 🖥️ RTX 4090 modded to 48GB VRAM — inserted into a server, vllm detected it automatically, reserved memory for cache, zero manual config. Good field report for anyone considering the mod for local inference.
link: https://t.me/evilfreelancer/1586
8. 📦 Upstash Box: serverless cloud sandboxes for AI agents, pay-per-use. Useful for running agents that need isolated execution environments without managing infra.
link: https://t.me/nobilix/235
9. 🧠 Nvidia released Nemotron 3 Super — hybrid Mamba+Transformer MoE architecture: 5x inference throughput vs comparable dense models, 1M token context window. Open weights, agentic reasoning focus.
link: https://t.me/nobilix/235
10. 🪟 Claude Code context expanded to 1M tokens (GA). Max/Team/Enterprise plans default to Opus 4.6 1M; Pro subscribers get Sonnet 4.6 1M. Relevant if you're running large codebase sessions.
link: https://t.me/aioftheday/4280
📊 Collected 5 (out of 12) items for you
— 🚀Quick Summary 🚀 —
1. 💡 Claude 1M context window: when it saves money vs. burns limits — real math
2. 🦞 OpenClaw fever in China: 40% of all instances, Tencent queues, and an honest failure story
3. 🎨 Generative UI deep-dive: how Claude builds visuals, OpenUI, json-render, and reverse-engineering
4. ⚗️ LATENT: train a robot tennis partner from 5 hours of play footage
5. ⛽ Helium supply shock: Iran conflict threatens 40-50% of chip-cooling gas for TSMC & Hynix
— ✅Details ✅—
1. 💡 Anthropic rolled out 1M context to all Claude Opus 4.6 subscribers. Detailed breakdown: on subscription with no pauses it's 0.9× cheaper than compaction; with 20 pauses it burns limits 2.26× faster. On API without cache it's always 1.8–2.5× more expensive. Key env var to revert:
link: https://t.me/countwithsasha/535
2. 🦞 OpenClaw adoption in China is massive — 40% of global instances, thousand-person queues at Tencent offices, provincial subsidies. Personal honest note from the author: too much agent autonomy backfired — the agent kept hallucinating missing files instead of doing the work, had to migrate that task to a more constrained tool. "Very much like managing people."
link: https://t.me/blognot/6856
3. 🎨 Claude's new "builds visuals" feature reverse-engineered: it calls an internal
link: https://t.me/nobilix/236
4. 🎾 LATENT algorithm: train on 5 hours of tennis footage → load into a robot → play against it. Minimal data, real physical result.
link: https://t.me/NeuralShit/7271
5. ⛽ Iran conflict disrupted ~⅓ of global helium supply (used for chip cooling). TSMC and Hynix depend on Qatari helium for 40–50% of needs. Long-term contracts buffer the immediate shock, but prolonged disruption = chip production bottleneck.
link: https://t.me/blognot/6857
— 🚀Quick Summary 🚀 —
1. 💡 Claude 1M context window: when it saves money vs. burns limits — real math
2. 🦞 OpenClaw fever in China: 40% of all instances, Tencent queues, and an honest failure story
3. 🎨 Generative UI deep-dive: how Claude builds visuals, OpenUI, json-render, and reverse-engineering
4. ⚗️ LATENT: train a robot tennis partner from 5 hours of play footage
5. ⛽ Helium supply shock: Iran conflict threatens 40-50% of chip-cooling gas for TSMC & Hynix
— ✅Details ✅—
1. 💡 Anthropic rolled out 1M context to all Claude Opus 4.6 subscribers. Detailed breakdown: on subscription with no pauses it's 0.9× cheaper than compaction; with 20 pauses it burns limits 2.26× faster. On API without cache it's always 1.8–2.5× more expensive. Key env var to revert:
CLAUDE_CODE_DISABLE_1M_CONTEXT=1. Cache lives only 5 min by default — going for coffee kills it.link: https://t.me/countwithsasha/535
2. 🦞 OpenClaw adoption in China is massive — 40% of global instances, thousand-person queues at Tencent offices, provincial subsidies. Personal honest note from the author: too much agent autonomy backfired — the agent kept hallucinating missing files instead of doing the work, had to migrate that task to a more constrained tool. "Very much like managing people."
link: https://t.me/blognot/6856
3. 🎨 Claude's new "builds visuals" feature reverse-engineered: it calls an internal
show_widget tool that injects HTML into the DOM with strict ordering (styles → content → scripts) for streaming-safe rendering. Also covers OpenUI (67% fewer tokens than json-render, 2-3× faster, streaming-first) and Vercel's json-render. Good GenUI pattern: generate config by schema, not raw code.link: https://t.me/nobilix/236
4. 🎾 LATENT algorithm: train on 5 hours of tennis footage → load into a robot → play against it. Minimal data, real physical result.
link: https://t.me/NeuralShit/7271
5. ⛽ Iran conflict disrupted ~⅓ of global helium supply (used for chip cooling). TSMC and Hynix depend on Qatari helium for 40–50% of needs. Long-term contracts buffer the immediate shock, but prolonged disruption = chip production bottleneck.
link: https://t.me/blognot/6857
Forwarded from Neural Shit
🚀Как вывести сайт в Топ-1 выдачи Яндекс за 14 дней даже в самой конкурентной нише
Попробуйте Seopapa — популярный сервис для поискового продвижения сайтов в Топ-1 выдачи Яндекс с помощью AI технологий.
Какие результаты получите уже через 2 недели продвижения:
🔹ТОП-1 в поиске Яндекса по основным ключевым запросам
🔹+170-310% целевого трафика с органики по целевым запросам
🔹Ваш сайт выше конкурентов и забирает весь трафик и клиентов.
Запуск продвижения занимает до 5 минут — а если не хочется разбираться, личный менеджер сделает всё за вас.
💰Seopapa дарит 15 000 ₽ на баланс новым пользователям до 30 марта — чтобы попробовать сервис в деле и бесплатно получить результаты продвижения.
👉 Попробуйте Seopapa.com
Попробуйте Seopapa — популярный сервис для поискового продвижения сайтов в Топ-1 выдачи Яндекс с помощью AI технологий.
Какие результаты получите уже через 2 недели продвижения:
🔹ТОП-1 в поиске Яндекса по основным ключевым запросам
🔹+170-310% целевого трафика с органики по целевым запросам
🔹Ваш сайт выше конкурентов и забирает весь трафик и клиентов.
Запуск продвижения занимает до 5 минут — а если не хочется разбираться, личный менеджер сделает всё за вас.
💰Seopapa дарит 15 000 ₽ на баланс новым пользователям до 30 марта — чтобы попробовать сервис в деле и бесплатно получить результаты продвижения.
👉 Попробуйте Seopapa.com
📊 Collected 8 (out of 33) items for you
— 🚀Quick Summary 🚀 —
1. 🧠 Agents vs. bubbles: Ben Thompson explains why AI agents break the commodity-model thesis
2. 🔌 Nvidia absorbs Groq — new LPX chip delivers 150 TB/s SRAM for ultra-fast inference
3. 🛠️ MCP server pitfalls: real-world lessons from writing deterministic tools for non-deterministic models
4. 🤖 BitGN Sandbox: eval platform for personal agents with prompt injection challenges
5. 🔀 Sub-agents vs. skills in OpenClaw: practical pattern for home automation bots
6. ⚠️ LLM confirmation bias: models amplify user assumptions, not expose them
7. 🏗️ Attention Residuals: MoonshotAI proposes layer-level attention for faster convergence
8. 🎬 ByteDance pauses Seedance 2.0 global launch after Hollywood pushback
— ✅Details ✅—
1. 🧠 Ben Thompson (Stratechery): agents break the commodity-model thesis — differentiation is now in model+harness integration, not models alone. One engineer running 10 agents drives compute demand more than mass consumer adoption. Microsoft already had to bundle a specific model into Copilot E7 at $99/seat
link: https://t.me/neuraldeep/1993
2. 🔌 Nvidia GTC 2026: Groq 3 LPX chip enters server racks — 150 TB/s SRAM bandwidth vs 22 TB/s HBM4. Only 500 MB SRAM per chip (vs 288 GB HBM4), so FFN runs on LPX and Attention stays on GPU. Effectively replaces the delayed Rubin CPX. Target: 400 tokens/sec for trillion-parameter models
link: https://t.me/blognot/6859
3. 🛠️ Real-world MCP server pitfalls: OAuth implemented differently across clients, 50+ tools from Swagger destroy quality, model misinterprets descriptions. Key insight: you're writing deterministic tools for a non-deterministic model
link: https://t.me/sergeinotevskii/603
4. 🤖 BitGN Sandbox now live — simulate a personal agent with full Obsidian Vault access, 7 eval tasks including prompt injection. Python sample agent available on GitHub, SDK for other languages. Test if your agent resists hidden instructions
link: https://t.me/llm_under_hood/772
5. 🔀 Sub-agents beat skills for stateful multi-step tasks in OpenClaw — instead of syncing skill copies across devices, spawn specialized sub-agents ("barber", "doorman") with isolated workspaces. Main agent just delegates via sessions_spawn()
link: https://t.me/countwithsasha/541
6. ⚠️ LLMs amplify confirmation bias: ask "why is running good" vs "why is running bad" — you get equally confident opposite answers. The question contains 90% of the answer. Less experienced engineers using agents produce less maintainable code for the same reason
link: https://t.me/evilfreelancer/1588
7. 🏗️ MoonshotAI (Kimi K2 team) proposes Attention Residuals — apply attention mechanism across layers (not tokens) to selectively weight past layer outputs. Block AttnRes matches baseline trained with 1.25× more compute. Could matter for future model architectures
link: https://t.me/data_secrets/8868
8. 🎬 ByteDance pauses global launch of Seedance 2.0 (Hollywood-quality video with celebrity likenesses) after industry complaints. Remains China-only for now
link: https://t.me/aioftheday/4285
— 🚀Quick Summary 🚀 —
1. 🧠 Agents vs. bubbles: Ben Thompson explains why AI agents break the commodity-model thesis
2. 🔌 Nvidia absorbs Groq — new LPX chip delivers 150 TB/s SRAM for ultra-fast inference
3. 🛠️ MCP server pitfalls: real-world lessons from writing deterministic tools for non-deterministic models
4. 🤖 BitGN Sandbox: eval platform for personal agents with prompt injection challenges
5. 🔀 Sub-agents vs. skills in OpenClaw: practical pattern for home automation bots
6. ⚠️ LLM confirmation bias: models amplify user assumptions, not expose them
7. 🏗️ Attention Residuals: MoonshotAI proposes layer-level attention for faster convergence
8. 🎬 ByteDance pauses Seedance 2.0 global launch after Hollywood pushback
— ✅Details ✅—
1. 🧠 Ben Thompson (Stratechery): agents break the commodity-model thesis — differentiation is now in model+harness integration, not models alone. One engineer running 10 agents drives compute demand more than mass consumer adoption. Microsoft already had to bundle a specific model into Copilot E7 at $99/seat
link: https://t.me/neuraldeep/1993
2. 🔌 Nvidia GTC 2026: Groq 3 LPX chip enters server racks — 150 TB/s SRAM bandwidth vs 22 TB/s HBM4. Only 500 MB SRAM per chip (vs 288 GB HBM4), so FFN runs on LPX and Attention stays on GPU. Effectively replaces the delayed Rubin CPX. Target: 400 tokens/sec for trillion-parameter models
link: https://t.me/blognot/6859
3. 🛠️ Real-world MCP server pitfalls: OAuth implemented differently across clients, 50+ tools from Swagger destroy quality, model misinterprets descriptions. Key insight: you're writing deterministic tools for a non-deterministic model
link: https://t.me/sergeinotevskii/603
4. 🤖 BitGN Sandbox now live — simulate a personal agent with full Obsidian Vault access, 7 eval tasks including prompt injection. Python sample agent available on GitHub, SDK for other languages. Test if your agent resists hidden instructions
link: https://t.me/llm_under_hood/772
5. 🔀 Sub-agents beat skills for stateful multi-step tasks in OpenClaw — instead of syncing skill copies across devices, spawn specialized sub-agents ("barber", "doorman") with isolated workspaces. Main agent just delegates via sessions_spawn()
link: https://t.me/countwithsasha/541
6. ⚠️ LLMs amplify confirmation bias: ask "why is running good" vs "why is running bad" — you get equally confident opposite answers. The question contains 90% of the answer. Less experienced engineers using agents produce less maintainable code for the same reason
link: https://t.me/evilfreelancer/1588
7. 🏗️ MoonshotAI (Kimi K2 team) proposes Attention Residuals — apply attention mechanism across layers (not tokens) to selectively weight past layer outputs. Block AttnRes matches baseline trained with 1.25× more compute. Could matter for future model architectures
link: https://t.me/data_secrets/8868
8. 🎬 ByteDance pauses global launch of Seedance 2.0 (Hollywood-quality video with celebrity likenesses) after industry complaints. Remains China-only for now
link: https://t.me/aioftheday/4285
📊 Collected 7 (out of 23) items for you
— 🚀Quick Summary 🚀 —
1. 🛠️ openapi-to-cli: TypeScript tool turning any OpenAPI spec into CLI commands at runtime — 2.2x more compact than MCP+Search
2. 🤖 OpenAI adds subagents to Codex — each with its own model, reasoning level, and tools
3. 🚀 GPT-5.4 mini & nano released — optimized for high-load coding and tool use, designed as subagent workers
4. 🖥️ Manus launches desktop app — run AI agent 24/7 on a local Mac mini or Windows PC
5. 🏭 Nvidia GTC 2026: AI factories, orbital data centers, NemoClaw for enterprise OpenClaw security
6. 🔀 OpenAI pivots to enterprise/dev tools — cutting side projects, "red code" mode
7. 💬 Vibe-coding reality check: "Everyone launches. Nobody succeeds." — coding is easy now, understanding users is still the hard part
— ✅Details ✅—
1. 🛠️ openapi-to-cli (ocli) — TypeScript CLI that converts any OpenAPI/Swagger API into runnable CLI commands at runtime, no codegen needed. 2.2x more compact results than MCP+Search approach. 100+ stars in under 5 days, 400+ clones. OpenClaw skill also available.
link: https://t.me/neuraldeep/1995
2. 🤖 OpenAI brings subagents to Codex — each subagent can use its own model, reasoning level, and toolset. Available in app and CLI; IDE extension coming later. Follows Anthropic's lead with Agent Teams in Claude Code.
link: https://t.me/blognot/6863
3. 🚀 GPT-5.4 mini & nano released — mini is 2x faster than GPT-5 mini, approaches full GPT-5.4 on some benchmarks. Nano is the smallest/fastest, recommended for simple subagent tasks. Note: 3-4x price increase over predecessors.
link: https://t.me/blognot/6864
4. 🖥️ Manus desktop app launched — install on any always-on Mac mini or Windows PC, agent runs tasks autonomously 24/7. No WhatsApp/Messenger integration yet despite Meta acquisition.
link: https://t.me/blognot/6862
5. 🏭 Nvidia GTC 2026 keynote highlights: Jensen Huang called OpenClaw "the new computer / new OS." Announced Vera Rubin Space-1 orbital data center module, Dynamo OS for AI factory workload management, and NemoClaw (enterprise OpenClaw with audit logs, confidential GPU computing, agent sandboxing).
link: https://t.me/data_secrets/8871
6. 🔀 OpenAI goes into "red code" mode — cutting side projects, doubling down on developer tools and enterprise. Anthropic's success cited as a "wake-up call." IPO expected Q4 this year, needs a clean revenue story.
link: https://t.me/blognot/6861
7. 💬 Vibe-coding reality check — "Everyone vibe-codes something. Nobody succeeds." Coding is now easy; the hard part remains getting inside users' heads. The bottleneck has shifted from building to understanding.
link: https://t.me/startupcontent/1302
— 🚀Quick Summary 🚀 —
1. 🛠️ openapi-to-cli: TypeScript tool turning any OpenAPI spec into CLI commands at runtime — 2.2x more compact than MCP+Search
2. 🤖 OpenAI adds subagents to Codex — each with its own model, reasoning level, and tools
3. 🚀 GPT-5.4 mini & nano released — optimized for high-load coding and tool use, designed as subagent workers
4. 🖥️ Manus launches desktop app — run AI agent 24/7 on a local Mac mini or Windows PC
5. 🏭 Nvidia GTC 2026: AI factories, orbital data centers, NemoClaw for enterprise OpenClaw security
6. 🔀 OpenAI pivots to enterprise/dev tools — cutting side projects, "red code" mode
7. 💬 Vibe-coding reality check: "Everyone launches. Nobody succeeds." — coding is easy now, understanding users is still the hard part
— ✅Details ✅—
1. 🛠️ openapi-to-cli (ocli) — TypeScript CLI that converts any OpenAPI/Swagger API into runnable CLI commands at runtime, no codegen needed. 2.2x more compact results than MCP+Search approach. 100+ stars in under 5 days, 400+ clones. OpenClaw skill also available.
link: https://t.me/neuraldeep/1995
2. 🤖 OpenAI brings subagents to Codex — each subagent can use its own model, reasoning level, and toolset. Available in app and CLI; IDE extension coming later. Follows Anthropic's lead with Agent Teams in Claude Code.
link: https://t.me/blognot/6863
3. 🚀 GPT-5.4 mini & nano released — mini is 2x faster than GPT-5 mini, approaches full GPT-5.4 on some benchmarks. Nano is the smallest/fastest, recommended for simple subagent tasks. Note: 3-4x price increase over predecessors.
link: https://t.me/blognot/6864
4. 🖥️ Manus desktop app launched — install on any always-on Mac mini or Windows PC, agent runs tasks autonomously 24/7. No WhatsApp/Messenger integration yet despite Meta acquisition.
link: https://t.me/blognot/6862
5. 🏭 Nvidia GTC 2026 keynote highlights: Jensen Huang called OpenClaw "the new computer / new OS." Announced Vera Rubin Space-1 orbital data center module, Dynamo OS for AI factory workload management, and NemoClaw (enterprise OpenClaw with audit logs, confidential GPU computing, agent sandboxing).
link: https://t.me/data_secrets/8871
6. 🔀 OpenAI goes into "red code" mode — cutting side projects, doubling down on developer tools and enterprise. Anthropic's success cited as a "wake-up call." IPO expected Q4 this year, needs a clean revenue story.
link: https://t.me/blognot/6861
7. 💬 Vibe-coding reality check — "Everyone vibe-codes something. Nobody succeeds." Coding is now easy; the hard part remains getting inside users' heads. The bottleneck has shifted from building to understanding.
link: https://t.me/startupcontent/1302
📊 Collected 12 (out of 40) items for you
— 🚀Quick Summary 🚀 —
1. 🦞 OpenClaw as orchestrator for long-running Codex agents — CGR pattern with cron
2. 🖥️ Running 397B model on M3 Max via Claude Code + Apple's LLM-in-Flash paper
3. 🏭 Yandex: 30% of code now AI-generated, 23% in agent mode — real enterprise numbers
4. 🛠️ SGR Agent Core 0.7.0: RunCommandTool, Brave/Perplexity search, IronAgent for non-function-calling models
5. 🟢 NVIDIA GTC 2026: Vera Rubin, Groq 3, $1T orders, robo-taxi with Uber
6. 🏌️ OpenAI Parameter Golf: best LLM in 16MB + 10min on 8×H100 — $1M GPU credits up for grabs
7. 🦺 NVIDIA NemoClaw — "safe OpenClaw" for enterprise, alpha out
8. 🤥 How to stop LLMs from lying about library versions — practical article
9. 🧠 Google DeepMind AGI benchmark competition on Kaggle — $25K prizes
10. 🏗️ Mistral Forge: train proprietary LLMs from scratch on-prem, no API dependency
11. 👁️ Micro SaaS: eye blink tracker via webcam for dry eye relief — live launch
12. 💪 Fun: Claude said 1000 bench press reps at 50% bodyweight is "beyond human limits" — guy did 1010
— ✅Details ✅—
1. 🦞 Deep dive into OpenClaw's limits with long-running tasks (timeouts, session blocking) — and a solution: use OpenClaw as an orchestrator that launches Codex via ACP as one-shot tasks, with cron polling. Author calls it CGR (Cron Guided Reasoning). Practical grabs: use HZL for cross-session task state, known bug in acpx
link: https://t.me/countwithsasha/542
2. 🖥️ Dan Woods ran Qwen3.5-397B on M3 Max 48GB using Claude Code + Apple's "LLM in a Flash" paper via Karpathy's autoresearch repo. Result: 5h to get running (1 tok/sec), 3h of optimization → 4.74 tok/sec using only 5.9GB RAM. Many optimizations still not implemented. A solid template for running huge models on consumer hardware
link: https://t.me/llm_under_hood/774
3. 🏭 How Yandex actually deployed coding agents at scale: dedicated teams (not enthusiasts), internal ArcSWE benchmark, 35+ MCPs for internal infra, own Yandex Code Assistant agent. Key metric: 42k developer-hours saved, commits up 10%, next goal is "disengagement rate" like in autonomous vehicles. Real blueprint for enterprise AI-SDLC
link: https://t.me/data_secrets/8872
4. 🛠️ SGR Agent Core 0.7.0 released: RunCommandTool with safe/unsafe modes, WebSearchTool now supports Brave and Perplexity alongside Tavily, stateless user context for integrations, pluggable ReasoningTool for reasoning models, IronAgent for models without function calling, progressive_discovery example for 50+ tools
link: https://t.me/evilfreelancer/1591
5. 🟢 NVIDIA GTC 2026 highlights: Vera Rubin (7 chips, 10× perf/watt vs Blackwell, ships 2026), Groq 3 LPU for inference (first product from $20B Groq acquisition), cumulative Blackwell+Vera Rubin orders projected at $1T by 2027, Uber robo-taxi deal in 28 cities, orbital AI datacenters (Space-1), and Feynman gen announced before Vera Rubin even ships
link: https://t.me/aioftheday/4296
6. 🏌️ OpenAI Parameter Golf: train the best language model that fits in 16MB and trains in under 10min on 8×H100. Scored by bits-per-byte on FineWeb. $1M in GPU credits available in increments. No architecture restrictions — new tokenizers, test-time compute, recurrent layers all fair game. Top participants get job offers. Ends April 30
link: https://t.me/data_secrets/8877
7. 🦺 NVIDIA launched NemoClaw alpha — enterprise-grade AI agent platform built on OpenClaw, with safety and compliance focus. Supports any agent, cloud or local models, hardware-agnostic. Direct competitor to OpenClaw-as-a-platform for enterprise deployments
link: https://t.me/aioftheday/4292
8. 🤥 Article on making LLMs stop hallucinating about library versions and API params — prompted by Claude Code claiming a parameter "doesn't exist" when it does. Practical techniques to reduce LLM confidence in stale knowledge and force it to check actual docs
link: https://t.me/blognot/6867
— 🚀Quick Summary 🚀 —
1. 🦞 OpenClaw as orchestrator for long-running Codex agents — CGR pattern with cron
2. 🖥️ Running 397B model on M3 Max via Claude Code + Apple's LLM-in-Flash paper
3. 🏭 Yandex: 30% of code now AI-generated, 23% in agent mode — real enterprise numbers
4. 🛠️ SGR Agent Core 0.7.0: RunCommandTool, Brave/Perplexity search, IronAgent for non-function-calling models
5. 🟢 NVIDIA GTC 2026: Vera Rubin, Groq 3, $1T orders, robo-taxi with Uber
6. 🏌️ OpenAI Parameter Golf: best LLM in 16MB + 10min on 8×H100 — $1M GPU credits up for grabs
7. 🦺 NVIDIA NemoClaw — "safe OpenClaw" for enterprise, alpha out
8. 🤥 How to stop LLMs from lying about library versions — practical article
9. 🧠 Google DeepMind AGI benchmark competition on Kaggle — $25K prizes
10. 🏗️ Mistral Forge: train proprietary LLMs from scratch on-prem, no API dependency
11. 👁️ Micro SaaS: eye blink tracker via webcam for dry eye relief — live launch
12. 💪 Fun: Claude said 1000 bench press reps at 50% bodyweight is "beyond human limits" — guy did 1010
— ✅Details ✅—
1. 🦞 Deep dive into OpenClaw's limits with long-running tasks (timeouts, session blocking) — and a solution: use OpenClaw as an orchestrator that launches Codex via ACP as one-shot tasks, with cron polling. Author calls it CGR (Cron Guided Reasoning). Practical grabs: use HZL for cross-session task state, known bug in acpx
cwd param with Codex (PR filed). Key insight: OpenClaw shines as a router, not as a coderlink: https://t.me/countwithsasha/542
2. 🖥️ Dan Woods ran Qwen3.5-397B on M3 Max 48GB using Claude Code + Apple's "LLM in a Flash" paper via Karpathy's autoresearch repo. Result: 5h to get running (1 tok/sec), 3h of optimization → 4.74 tok/sec using only 5.9GB RAM. Many optimizations still not implemented. A solid template for running huge models on consumer hardware
link: https://t.me/llm_under_hood/774
3. 🏭 How Yandex actually deployed coding agents at scale: dedicated teams (not enthusiasts), internal ArcSWE benchmark, 35+ MCPs for internal infra, own Yandex Code Assistant agent. Key metric: 42k developer-hours saved, commits up 10%, next goal is "disengagement rate" like in autonomous vehicles. Real blueprint for enterprise AI-SDLC
link: https://t.me/data_secrets/8872
4. 🛠️ SGR Agent Core 0.7.0 released: RunCommandTool with safe/unsafe modes, WebSearchTool now supports Brave and Perplexity alongside Tavily, stateless user context for integrations, pluggable ReasoningTool for reasoning models, IronAgent for models without function calling, progressive_discovery example for 50+ tools
link: https://t.me/evilfreelancer/1591
5. 🟢 NVIDIA GTC 2026 highlights: Vera Rubin (7 chips, 10× perf/watt vs Blackwell, ships 2026), Groq 3 LPU for inference (first product from $20B Groq acquisition), cumulative Blackwell+Vera Rubin orders projected at $1T by 2027, Uber robo-taxi deal in 28 cities, orbital AI datacenters (Space-1), and Feynman gen announced before Vera Rubin even ships
link: https://t.me/aioftheday/4296
6. 🏌️ OpenAI Parameter Golf: train the best language model that fits in 16MB and trains in under 10min on 8×H100. Scored by bits-per-byte on FineWeb. $1M in GPU credits available in increments. No architecture restrictions — new tokenizers, test-time compute, recurrent layers all fair game. Top participants get job offers. Ends April 30
link: https://t.me/data_secrets/8877
7. 🦺 NVIDIA launched NemoClaw alpha — enterprise-grade AI agent platform built on OpenClaw, with safety and compliance focus. Supports any agent, cloud or local models, hardware-agnostic. Direct competitor to OpenClaw-as-a-platform for enterprise deployments
link: https://t.me/aioftheday/4292
8. 🤥 Article on making LLMs stop hallucinating about library versions and API params — prompted by Claude Code claiming a parameter "doesn't exist" when it does. Practical techniques to reduce LLM confidence in stale knowledge and force it to check actual docs
link: https://t.me/blognot/6867
9. 🧠 Google DeepMind launched an AGI benchmark competition on Kaggle: design tests for 5 cognitive abilities (learnability, metacognition, attention, executive function, social cognition). $10K per track winner, $25K for top 4 overall. Motivation: current benchmarks produce "jagged intelligence" — superhuman in code, terrible elsewhere
link: https://t.me/data_secrets/8875
10. 🏗️ Mistral launched Forge — platform to train corporate LLMs from scratch on-premise. No RAG, no fine-tuning of hosted models, no API dependency. Uses open Mistral models as base. Targeting enterprises that need full data sovereignty
link: https://t.me/aioftheday/4295
11. 👁️ Micro SaaS live launch: webcam-based eye blink tracker that plays a soft sound when blink rate drops — targeting ~1B people with dry eye syndrome. Built with AI, being promoted via SEO. Interesting as a minimal, focused product addressing a real physical problem
link: https://t.me/its_capitan/486
12. 💪 Guy asked Claude Opus if benching 50% bodyweight 1000 times in one set was humanly possible. Claude said it's "beyond known human capabilities." He then did 1010 reps (57 minutes, new world record). The AI was wrong — but to be fair, so would most humans be
link: https://t.me/alexs_journal/145
link: https://t.me/data_secrets/8875
10. 🏗️ Mistral launched Forge — platform to train corporate LLMs from scratch on-premise. No RAG, no fine-tuning of hosted models, no API dependency. Uses open Mistral models as base. Targeting enterprises that need full data sovereignty
link: https://t.me/aioftheday/4295
11. 👁️ Micro SaaS live launch: webcam-based eye blink tracker that plays a soft sound when blink rate drops — targeting ~1B people with dry eye syndrome. Built with AI, being promoted via SEO. Interesting as a minimal, focused product addressing a real physical problem
link: https://t.me/its_capitan/486
12. 💪 Guy asked Claude Opus if benching 50% bodyweight 1000 times in one set was humanly possible. Claude said it's "beyond known human capabilities." He then did 1010 reps (57 minutes, new world record). The AI was wrong — but to be fair, so would most humans be
link: https://t.me/alexs_journal/145
📊 Collected 8 (out of 29) items for you
— 🚀Quick Summary 🚀 —
1. 🏢 OpenAI acquires Astral (Ruff, uv, ty) — Python tooling joins Codex division, 2M users
2. 🤖 Claude Dispatch: your Mac becomes a remote agent server — send tasks from phone, agent executes
3. 🎨 Google Stitch: AI agent for vibe-design — generates UI prototypes from text in real time
4. 🚀 Cursor Composer 2: new coding model competing with GPT-5.4 and Opus 4.6, $0.50/$2.50 per M tokens
5. 🍎 Apple blocks vibe-coding apps (Replit, Vibecode) in App Store — rule 2.5.2, workarounds being negotiated
6. 🎬 Runway real-time video generation: HD video, <100ms first frame latency (requires Nvidia Vera Rubin)
7. 💀 Meta shuts down Horizon Worlds / Metaverse after $80B in losses
8. 📊 VibeCode chain: non-programmers using Claude Code to go from idea to working prototype in 4 hours
— ✅Details ✅—
1. 🏢 OpenAI acquires Astral — creators of Ruff (linter), uv (package manager), ty (type checker). Team joins Codex division. Codex now at 2M users, 3x growth since January. Open-source support continues — though "open" from OpenAI has a track record
link: https://t.me/blognot/6872
2. 🤖 Claude Dispatch (Anthropic) — remote access to Claude Cowork from mobile. Send a task from your phone, Mac runs it as a persistent agent session (Opus 4.6, 1M context). Real-world test: booked haircut via YClients from phone, agent found slot, filled form, confirmed. Downside: expensive — browser automation burns tokens fast (~2% of $200/mo Max plan per 3 bookings)
link: https://t.me/countwithsasha/543
3. 🎨 Google Stitch — vibe-design agent that generates interactive UI prototypes from text. Chat with it, make real-time changes. Available if you have Gemini access
link: https://t.me/aioftheday/4300
4. 🚀 Cursor Composer 2 — new coding model from Cursor. Matches GPT-5.4 and Opus 4.6 on CursorBench. Optimized for agentic coding in large codebases. $0.50/M input, $2.50/M output. Fast mode available at 3x price but faster than Opus 4.6 Fast
link: https://t.me/data_secrets/8885
5. 🍎 Apple quietly blocking vibe-coding app updates (Replit, Vibecode) — citing rule 2.5.2 (no runtime code execution that changes app behavior). Real concern: these apps create their own mini-store, which is Apple's red line. Vercel v0 with similar features passes review just fine
link: https://t.me/blognot/6875
6. 🎬 Runway shows real-time HD video generation — under 100ms to first frame. Currently research preview, requires Nvidia Vera Rubin chips (mass production starts H2 2026)
link: https://t.me/aioftheday/4297
7. 💀 Meta kills Horizon Worlds — shutting down Quest VR app end of March, full VR shutdown June 15. Reality Labs racked up $70–80B in operating losses since 2020. Metaverse strategy officially dead
link: https://t.me/data_secrets/8881
8. 📊 VibeCode chain going around: non-programmers using Claude Code to analyze all repos and generate dashboards. Key data point: one non-dev went from idea to working prototype in 4 hours, 442 commits in under 5 months. Prompt shared publicly
link: https://t.me/nobilix/237
— 🚀Quick Summary 🚀 —
1. 🏢 OpenAI acquires Astral (Ruff, uv, ty) — Python tooling joins Codex division, 2M users
2. 🤖 Claude Dispatch: your Mac becomes a remote agent server — send tasks from phone, agent executes
3. 🎨 Google Stitch: AI agent for vibe-design — generates UI prototypes from text in real time
4. 🚀 Cursor Composer 2: new coding model competing with GPT-5.4 and Opus 4.6, $0.50/$2.50 per M tokens
5. 🍎 Apple blocks vibe-coding apps (Replit, Vibecode) in App Store — rule 2.5.2, workarounds being negotiated
6. 🎬 Runway real-time video generation: HD video, <100ms first frame latency (requires Nvidia Vera Rubin)
7. 💀 Meta shuts down Horizon Worlds / Metaverse after $80B in losses
8. 📊 VibeCode chain: non-programmers using Claude Code to go from idea to working prototype in 4 hours
— ✅Details ✅—
1. 🏢 OpenAI acquires Astral — creators of Ruff (linter), uv (package manager), ty (type checker). Team joins Codex division. Codex now at 2M users, 3x growth since January. Open-source support continues — though "open" from OpenAI has a track record
link: https://t.me/blognot/6872
2. 🤖 Claude Dispatch (Anthropic) — remote access to Claude Cowork from mobile. Send a task from your phone, Mac runs it as a persistent agent session (Opus 4.6, 1M context). Real-world test: booked haircut via YClients from phone, agent found slot, filled form, confirmed. Downside: expensive — browser automation burns tokens fast (~2% of $200/mo Max plan per 3 bookings)
link: https://t.me/countwithsasha/543
3. 🎨 Google Stitch — vibe-design agent that generates interactive UI prototypes from text. Chat with it, make real-time changes. Available if you have Gemini access
link: https://t.me/aioftheday/4300
4. 🚀 Cursor Composer 2 — new coding model from Cursor. Matches GPT-5.4 and Opus 4.6 on CursorBench. Optimized for agentic coding in large codebases. $0.50/M input, $2.50/M output. Fast mode available at 3x price but faster than Opus 4.6 Fast
link: https://t.me/data_secrets/8885
5. 🍎 Apple quietly blocking vibe-coding app updates (Replit, Vibecode) — citing rule 2.5.2 (no runtime code execution that changes app behavior). Real concern: these apps create their own mini-store, which is Apple's red line. Vercel v0 with similar features passes review just fine
link: https://t.me/blognot/6875
6. 🎬 Runway shows real-time HD video generation — under 100ms to first frame. Currently research preview, requires Nvidia Vera Rubin chips (mass production starts H2 2026)
link: https://t.me/aioftheday/4297
7. 💀 Meta kills Horizon Worlds — shutting down Quest VR app end of March, full VR shutdown June 15. Reality Labs racked up $70–80B in operating losses since 2020. Metaverse strategy officially dead
link: https://t.me/data_secrets/8881
8. 📊 VibeCode chain going around: non-programmers using Claude Code to analyze all repos and generate dashboards. Key data point: one non-dev went from idea to working prototype in 4 hours, 442 commits in under 5 months. Prompt shared publicly
link: https://t.me/nobilix/237
Forwarded from Твой пет проект (Mikhail Tabunov)
$60K MRR за 2 месяца на AI-авторе постов для LinkedIn
Многие боятся писать контент и вести соцсети, ведь это отнимает кучу времени.
Работать надо, а не посты писать.
Сегодняшний наш проект – Kleo – решает эту проблему для Linkedin.
Как работает сервис:
・Парсит твой профиль в Линкедин
・Учит твой стиль
・Генерит идеи для контента исходя из того, что заходит в нише
・Генерит заголовки
・Пишет посты, которые звучат как ты, а не как ChatGPT
・Генерит визуал типа инфографики
По сути, это замена копирайтеру или SMMщику.
Только вместо человека – Claude под капотом, Next.js и Vercel.
Сервис стоит целых сто баксов в месяц или $999 в год, что прям дорого, но это и причина, почему сервис так быстро вырос.
Проект делает команда – три партнера.
Лара – маркетолог. Бекграунд – свое агентство и какой-то коучинг. Три года строила личный бренд в LinkedIn, выросла до 300К+ подписчиков.
Её кофаундер Джейк – тоже маркетолог – 180K подписчиков в линкедине.
Ещё один партнёр – Кэмерон, CTO, который собственно и пилил продукт.
До Kleo 2.0 у них уже был Kleo 1.0 – бесплатное Chrome расширение для анализа чужого контента в LinkedIn.
60К юзеров, хорошая узнаваемость.
Но LinkedIn прислал им официальную претензию за скрейпинг данных, и пришлось расширение из стора удалить (судиться в таких случаях смысла нет).
Ребята решили обратить трудности в преимущества, и из бесплатного расширения сделать на тех же юзеров полноценный SaaS с подпиской.
Запускались на свою базу подписчиков в линкедин + пользователей расширения:
1. Wait list
Сделали простой ленд с описанием продукта, и собрали людей в вейтлист.
2. Прогрев почтой
За 4 недели до запуска начали рассылку по вейтлисту. 10+ писем до открытия продаж.
Писали про решаемую проблему. Например, почему AI контент пахнет дерьмом, как от этого уйти, ну и в целом про линкедин блоггинг – где брать идеи для постов, что писать, как писать, итд.
3. Вебинар
В день запуска продукта провели вебинар на 40 минут, где нормально рассказали про свой продукт и решаемую проблему. Кто-то купил уже прямо там.
4. Онбординг вручную
Первых юзеров онбордили вручную, Джейк вообще раздал свой личный номер юзерам для срочного решения проблем.
Результат:
– $30K MRR за первые 4 дня
– $62K MRR за 2 месяца
– $150K общей выручки
– 1000+ активных подписок
Цель на 2026 – довести Kleo до $300K MRR и выгодно продать.
Кейс не типичный, далеко не у каждого из нас есть сотня-другая тысяч подписоты в линкедине.
Но вынести можно многое:
1. Подписчики и база. Если ты не хочешь все время начинать с нуля – собирай базу по какой-то проблеме. Делай контент. Я вот собираю.
2. Много касаний. Продать сходу с лэнда – сложно. Продать с десяти постов – проще. С пядитесяти постов, и дюжины эфиров – сильно проще.
3. Двое из трех кофаундеров занимались маркетингом, и довольно большой объем работы сделан.
4. Снова онбординг вручную, плюс шкура на кон в виде личного номера юзерам.
5. Ребята шарят в этой теме. Я давно слышал что линк дает органику, вот наглядный пример. По контенту видно что там тысячи лайков и сотни коментов, значит охваты – десятки тысяч, если не сотни.
Сам продукт не удивляет.
Но вот с маркетингом постарались.
Можно ли повторить это один в один?
Нет.
Можно ли начать делать рассылку или тг по какой-то проблеме, и постепенно копить там базу для чего-то нового?
Да.
Многие боятся писать контент и вести соцсети, ведь это отнимает кучу времени.
Работать надо, а не посты писать.
Сегодняшний наш проект – Kleo – решает эту проблему для Linkedin.
Как работает сервис:
・Парсит твой профиль в Линкедин
・Учит твой стиль
・Генерит идеи для контента исходя из того, что заходит в нише
・Генерит заголовки
・Пишет посты, которые звучат как ты, а не как ChatGPT
・Генерит визуал типа инфографики
По сути, это замена копирайтеру или SMMщику.
Только вместо человека – Claude под капотом, Next.js и Vercel.
Сервис стоит целых сто баксов в месяц или $999 в год, что прям дорого, но это и причина, почему сервис так быстро вырос.
Проект делает команда – три партнера.
Лара – маркетолог. Бекграунд – свое агентство и какой-то коучинг. Три года строила личный бренд в LinkedIn, выросла до 300К+ подписчиков.
Её кофаундер Джейк – тоже маркетолог – 180K подписчиков в линкедине.
Ещё один партнёр – Кэмерон, CTO, который собственно и пилил продукт.
До Kleo 2.0 у них уже был Kleo 1.0 – бесплатное Chrome расширение для анализа чужого контента в LinkedIn.
60К юзеров, хорошая узнаваемость.
Но LinkedIn прислал им официальную претензию за скрейпинг данных, и пришлось расширение из стора удалить (судиться в таких случаях смысла нет).
Ребята решили обратить трудности в преимущества, и из бесплатного расширения сделать на тех же юзеров полноценный SaaS с подпиской.
Запускались на свою базу подписчиков в линкедин + пользователей расширения:
1. Wait list
Сделали простой ленд с описанием продукта, и собрали людей в вейтлист.
2. Прогрев почтой
За 4 недели до запуска начали рассылку по вейтлисту. 10+ писем до открытия продаж.
Писали про решаемую проблему. Например, почему AI контент пахнет дерьмом, как от этого уйти, ну и в целом про линкедин блоггинг – где брать идеи для постов, что писать, как писать, итд.
3. Вебинар
В день запуска продукта провели вебинар на 40 минут, где нормально рассказали про свой продукт и решаемую проблему. Кто-то купил уже прямо там.
4. Онбординг вручную
Первых юзеров онбордили вручную, Джейк вообще раздал свой личный номер юзерам для срочного решения проблем.
Результат:
– $30K MRR за первые 4 дня
– $62K MRR за 2 месяца
– $150K общей выручки
– 1000+ активных подписок
Цель на 2026 – довести Kleo до $300K MRR и выгодно продать.
Кейс не типичный, далеко не у каждого из нас есть сотня-другая тысяч подписоты в линкедине.
Но вынести можно многое:
1. Подписчики и база. Если ты не хочешь все время начинать с нуля – собирай базу по какой-то проблеме. Делай контент. Я вот собираю.
2. Много касаний. Продать сходу с лэнда – сложно. Продать с десяти постов – проще. С пядитесяти постов, и дюжины эфиров – сильно проще.
3. Двое из трех кофаундеров занимались маркетингом, и довольно большой объем работы сделан.
4. Снова онбординг вручную, плюс шкура на кон в виде личного номера юзерам.
5. Ребята шарят в этой теме. Я давно слышал что линк дает органику, вот наглядный пример. По контенту видно что там тысячи лайков и сотни коментов, значит охваты – десятки тысяч, если не сотни.
Сам продукт не удивляет.
Но вот с маркетингом постарались.
Можно ли повторить это один в один?
Нет.
Можно ли начать делать рассылку или тг по какой-то проблеме, и постепенно копить там базу для чего-то нового?
Да.
📊 Collected 8 (out of 29) items for you
— 🚀Quick Summary 🚀 —
1. 🔗 Claude Code Channels: control your agent from Telegram/Discord — but it's still raw
2. 📦 ACPBox: wrap any code agent (Cursor, OpenCode) in an OpenAI-compatible API
3. ⚡ Cursor Composer 2: claims Opus 4.6-level coding at ~5x lower price
4. 💰 Sleek.design: $10K MRR in 6 weeks — AI mobile app design, zero ad spend
5. 🔧 Non-developer builds pipe calculation app with Claude in 8 weeks — coworkers amazed
6. 😢 "I was a 10x engineer. Now I'm useless" — real identity crisis from vibe coding
7. 🖥️ OpenAI merges ChatGPT, Codex, and Atlas browser into one desktop superapp
8. 📰 Google rewrites news headlines with AI — results distort meaning
— ✅Details ✅—
1. 🔗 Claude Code Channels: Anthropic added async channel support to Claude Code — Telegram/Discord messages get pushed into a running agent session via MCP. Deep breakdown: three remote-control modes (Remote Control, Dispatch, Channels), sandbox permission model, and why libghostty is quietly becoming the backend for corporate AI agents on servers (more stable than MCP). Honest caveat: notifications drop, MCP disconnects, limits hit fast — not production-ready yet
link: https://t.me/countwithsasha/550
2. 📦 ACPBox wraps Agent Client Protocol (stdio, JSON-RPC) agents in a standard OpenAI-compatible API — same
link: https://t.me/evilfreelancer/1596
3. ⚡ Cursor released Composer 2 — claims coding quality on par with Opus 4.6 and GPT-5.4 at $0.50/$2.50 per M tokens (regular) or $1.50/$7.50 (fast). Significantly cheaper than frontier models if the benchmarks hold
link: https://t.me/aioftheday/4306
4. 💰 Sleek.design hit $10K MRR in 6 weeks — AI mobile app mockup generator targeting solo builders. No ad spend: launched to 8K Twitter followers, went viral (871K views) by generating free designs for commenters. Lesson: narrow niche (mobile app authors without a team) beats broad appeal every time. Stack: Next.js, Supabase, Vercel, Stripe
link: https://t.me/your_pet_project/586
5. 🔧 A pipe-laying professional with zero coding experience built a pipe calculation and visualization tool using Claude in 8 weeks — colleagues were stunned and immediately started using it (previously done in Excel, 10x slower). Method: screenshots uploaded to Claude, asked to explain "like I'm five." Domain expertise + AI > IT startups guessing at domain problems
link: https://t.me/temno/7735
6. 😢 Developer shares an existential crisis: used AI on a project, got the result too fast, and now feels disconnected from the work. "I was a 10x engineer. Now I'm useless. I have no idea who I am anymore in this process." Worth watching if you're navigating this shift
link: https://t.me/startupcontent/1303
7. 🖥️ OpenAI plans to consolidate ChatGPT, Codex, and the Atlas browser into a single desktop superapp — moving away from scattered products toward one unified experience
link: https://t.me/aioftheday/4308
8. 📰 Google is quietly replacing news headlines in search results with AI-generated versions — some already distort original meaning (an ironic review of a cheating tool got rewritten to sound like an ad). Google calls it "a small experiment" and won't say how broad it is
link: https://t.me/blognot/6878
— 🚀Quick Summary 🚀 —
1. 🔗 Claude Code Channels: control your agent from Telegram/Discord — but it's still raw
2. 📦 ACPBox: wrap any code agent (Cursor, OpenCode) in an OpenAI-compatible API
3. ⚡ Cursor Composer 2: claims Opus 4.6-level coding at ~5x lower price
4. 💰 Sleek.design: $10K MRR in 6 weeks — AI mobile app design, zero ad spend
5. 🔧 Non-developer builds pipe calculation app with Claude in 8 weeks — coworkers amazed
6. 😢 "I was a 10x engineer. Now I'm useless" — real identity crisis from vibe coding
7. 🖥️ OpenAI merges ChatGPT, Codex, and Atlas browser into one desktop superapp
8. 📰 Google rewrites news headlines with AI — results distort meaning
— ✅Details ✅—
1. 🔗 Claude Code Channels: Anthropic added async channel support to Claude Code — Telegram/Discord messages get pushed into a running agent session via MCP. Deep breakdown: three remote-control modes (Remote Control, Dispatch, Channels), sandbox permission model, and why libghostty is quietly becoming the backend for corporate AI agents on servers (more stable than MCP). Honest caveat: notifications drop, MCP disconnects, limits hit fast — not production-ready yet
link: https://t.me/countwithsasha/550
2. 📦 ACPBox wraps Agent Client Protocol (stdio, JSON-RPC) agents in a standard OpenAI-compatible API — same
/v1/chat/completions and /v1/responses endpoints. Works with Cursor, OpenCode, Claude Code, Gemini. Install: pipx install acpbox, point at a config.yaml, get a Swagger UI at localhost:8080link: https://t.me/evilfreelancer/1596
3. ⚡ Cursor released Composer 2 — claims coding quality on par with Opus 4.6 and GPT-5.4 at $0.50/$2.50 per M tokens (regular) or $1.50/$7.50 (fast). Significantly cheaper than frontier models if the benchmarks hold
link: https://t.me/aioftheday/4306
4. 💰 Sleek.design hit $10K MRR in 6 weeks — AI mobile app mockup generator targeting solo builders. No ad spend: launched to 8K Twitter followers, went viral (871K views) by generating free designs for commenters. Lesson: narrow niche (mobile app authors without a team) beats broad appeal every time. Stack: Next.js, Supabase, Vercel, Stripe
link: https://t.me/your_pet_project/586
5. 🔧 A pipe-laying professional with zero coding experience built a pipe calculation and visualization tool using Claude in 8 weeks — colleagues were stunned and immediately started using it (previously done in Excel, 10x slower). Method: screenshots uploaded to Claude, asked to explain "like I'm five." Domain expertise + AI > IT startups guessing at domain problems
link: https://t.me/temno/7735
6. 😢 Developer shares an existential crisis: used AI on a project, got the result too fast, and now feels disconnected from the work. "I was a 10x engineer. Now I'm useless. I have no idea who I am anymore in this process." Worth watching if you're navigating this shift
link: https://t.me/startupcontent/1303
7. 🖥️ OpenAI plans to consolidate ChatGPT, Codex, and the Atlas browser into a single desktop superapp — moving away from scattered products toward one unified experience
link: https://t.me/aioftheday/4308
8. 📰 Google is quietly replacing news headlines in search results with AI-generated versions — some already distort original meaning (an ironic review of a cheating tool got rewritten to sound like an ad). Google calls it "a small experiment" and won't say how broad it is
link: https://t.me/blognot/6878
📊 Weekly roundup: 18 highlights from this week
— 🚀 Quick Summary 🚀 —
1. Anthropic shipped three remote-control primitives for Claude Code in one week: Channels, Dispatch, and Claude Code Channels — your Mac is now an always-on agent server
2. Cursor Composer 2 claims GPT-5.4/Opus 4.6-level coding at 5x lower price — confirmed twice across the week
3. Vibe-coding produces results but doesn't produce startups — the bottleneck shifted from building to understanding users
4. Two micro SaaS wins: Sleek.design $10K MRR in 6 weeks, Kleo $60K MRR in 2 months — both from narrow niches and audience-first launches
5. NVIDIA GTC 2026: Vera Rubin, Groq 3 LPX, $1T orders, orbital data centers — compute infrastructure reshaping again
6. OpenAI in "red code" mode: acquires Astral, consolidates products into superapp, doubles down on enterprise/dev tools
— 🔍 Theme: Anthropic's Agent Remote Control Stack —
1. 🔗 Claude Code Channels — push external messages directly into a running Claude Code session via MCP. Telegram and Discord plugins are live; architecture is open for any source (Jira, monitoring webhooks, Slack). Three remote-control modes now exist: Remote Control (browser/phone UI), Dispatch (async task delegation), Channels (world pushes to agent). Real caveat from hands-on testing: notifications drop, MCP disconnects, permission prompts block the session mid-task. The sandbox by default blocks all network — every domain needs explicit allowlist, wildcards are rejected. Not production-ready, but this is the clearest sign yet that Anthropic is designing for always-on autonomous agents, not chat.
link: https://t.me/countwithsasha/550
2. 🤖 Claude Dispatch — send a task from your phone, your Mac runs it as a persistent Opus 4.6 session (1M context), you come back to the result. Real-world test: booked a haircut via YClients from phone — agent found slot, filled form, confirmed booking. The killer downside: browser automation burns tokens fast. Three bookings consumed ~2% of a $200/month Max plan. Voice input and file-from-phone not supported yet. But the direction is clear: any always-on Mac is now a personal agent server.
link: https://t.me/countwithsasha/543
3. 📦 ACPBox — wraps any Agent Client Protocol (stdio, JSON-RPC) agent in a standard OpenAI-compatible API. Same
link: https://t.me/evilfreelancer/1596
— 🔍 Theme: Orchestration Patterns That Actually Work —
4. 🦞 CGR Pattern (Cron Guided Reasoning) — discovered through hitting OpenClaw's limits with long-running tasks (timeouts, session blocking). Solution: use OpenClaw as a router/orchestrator that launches Codex as one-shot tasks via ACP, with cron polling for status. Parallel Codex sessions, no blocking, HZL for cross-session task state. Key insight: OpenClaw shines as a dispatcher, not as the coder. Practical grab: known bug in
link: https://t.me/countwithsasha/542
5. 🏠 Sub-agents beat skills for stateful multi-step tasks — instead of maintaining synced skill copies across devices, spawn specialized sub-agents ("barber", "doorman") with isolated workspaces. Main agent delegates via
link: https://t.me/countwithsasha/541
6. 🛠️ openapi-to-cli (ocli) — TypeScript CLI that converts any OpenAPI/Swagger API into runnable CLI commands at runtime, no codegen needed. 2.2x more compact results than the MCP+Search approach. 100+ GitHub stars in under 5 days. Already has an OpenClaw skill on ClawhHub.
link: https://t.me/neuraldeep/1995
— 🚀 Quick Summary 🚀 —
1. Anthropic shipped three remote-control primitives for Claude Code in one week: Channels, Dispatch, and Claude Code Channels — your Mac is now an always-on agent server
2. Cursor Composer 2 claims GPT-5.4/Opus 4.6-level coding at 5x lower price — confirmed twice across the week
3. Vibe-coding produces results but doesn't produce startups — the bottleneck shifted from building to understanding users
4. Two micro SaaS wins: Sleek.design $10K MRR in 6 weeks, Kleo $60K MRR in 2 months — both from narrow niches and audience-first launches
5. NVIDIA GTC 2026: Vera Rubin, Groq 3 LPX, $1T orders, orbital data centers — compute infrastructure reshaping again
6. OpenAI in "red code" mode: acquires Astral, consolidates products into superapp, doubles down on enterprise/dev tools
— 🔍 Theme: Anthropic's Agent Remote Control Stack —
1. 🔗 Claude Code Channels — push external messages directly into a running Claude Code session via MCP. Telegram and Discord plugins are live; architecture is open for any source (Jira, monitoring webhooks, Slack). Three remote-control modes now exist: Remote Control (browser/phone UI), Dispatch (async task delegation), Channels (world pushes to agent). Real caveat from hands-on testing: notifications drop, MCP disconnects, permission prompts block the session mid-task. The sandbox by default blocks all network — every domain needs explicit allowlist, wildcards are rejected. Not production-ready, but this is the clearest sign yet that Anthropic is designing for always-on autonomous agents, not chat.
link: https://t.me/countwithsasha/550
2. 🤖 Claude Dispatch — send a task from your phone, your Mac runs it as a persistent Opus 4.6 session (1M context), you come back to the result. Real-world test: booked a haircut via YClients from phone — agent found slot, filled form, confirmed booking. The killer downside: browser automation burns tokens fast. Three bookings consumed ~2% of a $200/month Max plan. Voice input and file-from-phone not supported yet. But the direction is clear: any always-on Mac is now a personal agent server.
link: https://t.me/countwithsasha/543
3. 📦 ACPBox — wraps any Agent Client Protocol (stdio, JSON-RPC) agent in a standard OpenAI-compatible API. Same
/v1/chat/completions and /v1/responses endpoints. Works with Cursor, OpenCode, Claude Code, Gemini. Install with pipx install acpbox, configure a config.yaml, get a Swagger UI at localhost:8080. Practical: lets you plug any code agent into Open WebUI or any OpenAI-compatible client without writing your own HTTP layer.link: https://t.me/evilfreelancer/1596
— 🔍 Theme: Orchestration Patterns That Actually Work —
4. 🦞 CGR Pattern (Cron Guided Reasoning) — discovered through hitting OpenClaw's limits with long-running tasks (timeouts, session blocking). Solution: use OpenClaw as a router/orchestrator that launches Codex as one-shot tasks via ACP, with cron polling for status. Parallel Codex sessions, no blocking, HZL for cross-session task state. Key insight: OpenClaw shines as a dispatcher, not as the coder. Practical grab: known bug in
acpx where cwd param doesn't work with Codex (PR filed and confirmed).link: https://t.me/countwithsasha/542
5. 🏠 Sub-agents beat skills for stateful multi-step tasks — instead of maintaining synced skill copies across devices, spawn specialized sub-agents ("barber", "doorman") with isolated workspaces. Main agent delegates via
sessions_spawn(). One agent lives in one place, any bot calls it. Simpler to maintain than 5 skill copies across 2 machines. Config example and YCLIENTS browser automation walkthrough included in source.link: https://t.me/countwithsasha/541
6. 🛠️ openapi-to-cli (ocli) — TypeScript CLI that converts any OpenAPI/Swagger API into runnable CLI commands at runtime, no codegen needed. 2.2x more compact results than the MCP+Search approach. 100+ GitHub stars in under 5 days. Already has an OpenClaw skill on ClawhHub.
link: https://t.me/neuraldeep/1995
— 🔍 Theme: Cursor Composer 2 — Frontier Quality at a Fraction of the Price —
7. ⚡ Cursor released Composer 2, claiming coding quality on par with Opus 4.6 and GPT-5.4 on CursorBench. Pricing: $0.50/$2.50 per M tokens (standard), $1.50/$7.50 (fast mode — still faster than Opus 4.6 Fast). That's roughly 5x cheaper than frontier models if benchmarks hold in practice. The model is optimized for agentic coding in large codebases. Worth testing — mentioned as noteworthy by two independent channels across the week.
link: https://t.me/data_secrets/8885
— 🔍 Theme: Vibe-Coding — Who Actually Wins —
8. 🔧 A pipe-laying professional with zero coding background built a pipe calculation and visualization tool in 8 weeks using only Claude. Colleagues were stunned — what used to take 10x longer in Excel now runs in the tool. Method: screenshots uploaded to Claude, asking it to explain "like I'm five." The lesson: domain expertise + AI beats IT startups guessing at domain problems. The non-programmer who owns the problem is now the most dangerous builder in the room.
link: https://t.me/temno/7735
9. 📊 VibeCode chain data point: one non-developer went from idea to working prototype in 4 hours using Claude Code to analyze repos and generate dashboards, 442 commits in under 5 months. The shared prompt is public. A concrete benchmark for what's now possible without a CS background.
link: https://t.me/nobilix/237
10. 😢 But the identity crisis is real — a developer shares: "I was a 10x engineer. Now I'm useless. I have no idea who I am anymore in this process." Used AI on a project, got the result too fast, lost emotional connection to the work. Worth engaging with if you're navigating this shift yourself.
link: https://t.me/startupcontent/1303
11. 💬 Reality check from the other side: "Everyone vibe-codes something. Nobody succeeds." Coding is easy now; understanding what users actually need remains the hard part. The bottleneck has shifted from building to insight. This is consistent with what we see: the pipe engineer succeeded because he knew the domain deeply.
link: https://t.me/startupcontent/1302
— 🔍 Theme: Micro SaaS That Actually Launched —
12. 💰 Sleek.design — $10K MRR in 6 weeks, zero ad spend. AI mobile app mockup generator targeting solo builders who need design but can't afford a designer. Launched to 8K Twitter followers, went viral (871K views) by generating free designs for commenters. Narrow niche wins again: mobile app authors without a team. Stack: Next.js, Supabase, Vercel, Stripe. One real risk: design is a one-time purchase, churn will be high.
link: https://t.me/your_pet_project/586
13. 📝 Kleo — $60K MRR in 2 months on AI LinkedIn content writer ($100/mo or $999/yr). Built on Claude, Next.js, Vercel. Team had 480K combined LinkedIn followers — used that as launch base. 10+ email warmup sequences before launch, live webinar on day 1, manual onboarding of first users. Not easily replicable without the audience, but the playbook is clear: list first, product second.
link: https://t.me/aiiscooked/77
— 🔍 Theme: NVIDIA GTC 2026 — Infrastructure at Scale —
14. 🟢 NVIDIA GTC 2026 summary: Vera Rubin GPU (7 chips, 10x perf/watt vs Blackwell, shipping 2026), Groq 3 LPX chip (150 TB/s SRAM bandwidth for ultra-fast inference, replaces the delayed Rubin CPX), cumulative Blackwell+Vera Rubin orders projected at $1T by 2027 (doubled from $500B estimate 12 months ago), Uber robo-taxi deal in 28 cities, Vera Rubin Space-1 orbital AI data centers, and Feynman announced before Vera Rubin even ships. Jensen Huang called OpenClaw "the new computer / new OS." NemoClaw (enterprise OpenClaw with audit logs, confidential GPU computing, agent sandboxing) is in alpha.
link: https://t.me/aioftheday/4296
— 🔍 Theme: OpenAI Restructuring —
7. ⚡ Cursor released Composer 2, claiming coding quality on par with Opus 4.6 and GPT-5.4 on CursorBench. Pricing: $0.50/$2.50 per M tokens (standard), $1.50/$7.50 (fast mode — still faster than Opus 4.6 Fast). That's roughly 5x cheaper than frontier models if benchmarks hold in practice. The model is optimized for agentic coding in large codebases. Worth testing — mentioned as noteworthy by two independent channels across the week.
link: https://t.me/data_secrets/8885
— 🔍 Theme: Vibe-Coding — Who Actually Wins —
8. 🔧 A pipe-laying professional with zero coding background built a pipe calculation and visualization tool in 8 weeks using only Claude. Colleagues were stunned — what used to take 10x longer in Excel now runs in the tool. Method: screenshots uploaded to Claude, asking it to explain "like I'm five." The lesson: domain expertise + AI beats IT startups guessing at domain problems. The non-programmer who owns the problem is now the most dangerous builder in the room.
link: https://t.me/temno/7735
9. 📊 VibeCode chain data point: one non-developer went from idea to working prototype in 4 hours using Claude Code to analyze repos and generate dashboards, 442 commits in under 5 months. The shared prompt is public. A concrete benchmark for what's now possible without a CS background.
link: https://t.me/nobilix/237
10. 😢 But the identity crisis is real — a developer shares: "I was a 10x engineer. Now I'm useless. I have no idea who I am anymore in this process." Used AI on a project, got the result too fast, lost emotional connection to the work. Worth engaging with if you're navigating this shift yourself.
link: https://t.me/startupcontent/1303
11. 💬 Reality check from the other side: "Everyone vibe-codes something. Nobody succeeds." Coding is easy now; understanding what users actually need remains the hard part. The bottleneck has shifted from building to insight. This is consistent with what we see: the pipe engineer succeeded because he knew the domain deeply.
link: https://t.me/startupcontent/1302
— 🔍 Theme: Micro SaaS That Actually Launched —
12. 💰 Sleek.design — $10K MRR in 6 weeks, zero ad spend. AI mobile app mockup generator targeting solo builders who need design but can't afford a designer. Launched to 8K Twitter followers, went viral (871K views) by generating free designs for commenters. Narrow niche wins again: mobile app authors without a team. Stack: Next.js, Supabase, Vercel, Stripe. One real risk: design is a one-time purchase, churn will be high.
link: https://t.me/your_pet_project/586
13. 📝 Kleo — $60K MRR in 2 months on AI LinkedIn content writer ($100/mo or $999/yr). Built on Claude, Next.js, Vercel. Team had 480K combined LinkedIn followers — used that as launch base. 10+ email warmup sequences before launch, live webinar on day 1, manual onboarding of first users. Not easily replicable without the audience, but the playbook is clear: list first, product second.
link: https://t.me/aiiscooked/77
— 🔍 Theme: NVIDIA GTC 2026 — Infrastructure at Scale —
14. 🟢 NVIDIA GTC 2026 summary: Vera Rubin GPU (7 chips, 10x perf/watt vs Blackwell, shipping 2026), Groq 3 LPX chip (150 TB/s SRAM bandwidth for ultra-fast inference, replaces the delayed Rubin CPX), cumulative Blackwell+Vera Rubin orders projected at $1T by 2027 (doubled from $500B estimate 12 months ago), Uber robo-taxi deal in 28 cities, Vera Rubin Space-1 orbital AI data centers, and Feynman announced before Vera Rubin even ships. Jensen Huang called OpenClaw "the new computer / new OS." NemoClaw (enterprise OpenClaw with audit logs, confidential GPU computing, agent sandboxing) is in alpha.
link: https://t.me/aioftheday/4296
— 🔍 Theme: OpenAI Restructuring —
15. 🔀 OpenAI in "red code" mode — cutting side projects, doubling down on developer tools and enterprise. Anthropic's success cited as a "wake-up call." IPO expected Q4 this year. Acquired Astral (Ruff, uv, ty) — team joins Codex division, now at 2M users (3x since January). Launched GPT-5.4 mini and nano as subagent workers (mini is 2x faster than GPT-5 mini, nano recommended for simple subtasks — but 3-4x price increase over predecessors). Plans to merge ChatGPT, Codex, and Atlas browser into one desktop superapp.
link: https://t.me/blognot/6861
— 🔍 Theme: Honest Takes Worth Keeping —
16. ⚠️ LLM confirmation bias is structural, not accidental — ask "why is running good" vs "why is running bad" and get equally confident opposite answers. The question contains 90% of the answer. Models amplify the user's existing position rather than exposing blind spots. This is especially dangerous for less experienced engineers using agents: the code they produce is less maintainable precisely because the AI confirms their approach rather than challenging it.
link: https://t.me/evilfreelancer/1588
17. 🧠 Ben Thompson's take on agents breaking the commodity-model thesis: differentiation is now in model+harness integration, not models alone. One engineer running 10 agents drives more compute demand than mass consumer adoption. Microsoft had to bundle a specific model into Copilot E7 at $99/seat — "model-agnostic" fell apart in practice. Agents = integrated systems, and profit flows to integrated players.
link: https://t.me/neuraldeep/1993
18. 🖥️ Running Qwen3.5-397B on M3 Max 48GB: 5h to get running (1 tok/sec), 3h of optimization → 4.74 tok/sec using only 5.9GB RAM via Apple's LLM-in-Flash approach via Karpathy's autoresearch repo. Many optimizations not yet implemented. Solid template for huge models on consumer hardware.
link: https://t.me/llm_under_hood/774
link: https://t.me/blognot/6861
— 🔍 Theme: Honest Takes Worth Keeping —
16. ⚠️ LLM confirmation bias is structural, not accidental — ask "why is running good" vs "why is running bad" and get equally confident opposite answers. The question contains 90% of the answer. Models amplify the user's existing position rather than exposing blind spots. This is especially dangerous for less experienced engineers using agents: the code they produce is less maintainable precisely because the AI confirms their approach rather than challenging it.
link: https://t.me/evilfreelancer/1588
17. 🧠 Ben Thompson's take on agents breaking the commodity-model thesis: differentiation is now in model+harness integration, not models alone. One engineer running 10 agents drives more compute demand than mass consumer adoption. Microsoft had to bundle a specific model into Copilot E7 at $99/seat — "model-agnostic" fell apart in practice. Agents = integrated systems, and profit flows to integrated players.
link: https://t.me/neuraldeep/1993
18. 🖥️ Running Qwen3.5-397B on M3 Max 48GB: 5h to get running (1 tok/sec), 3h of optimization → 4.74 tok/sec using only 5.9GB RAM via Apple's LLM-in-Flash approach via Karpathy's autoresearch repo. Many optimizations not yet implemented. Solid template for huge models on consumer hardware.
link: https://t.me/llm_under_hood/774