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OpenMed Agent + Claude Opus 4.7 just ran a 14-step special-pathogen ED workup on a synthetic VHF case. Live CDC + WHO + PubMed retrieval. Evidence-weighted differential. Clinician signature required before any artifacts finalized. The loop is the product.

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Cline has shipped Cline SDK, an open-source agent runtime that now powers the CLI, VS Code, JetBrains, and Kanban, and is available for any team to build on. The whole Cline product line is being migrated onto it. > Cline CLI scores 74.2% on Terminal Bench 2.0 with claude-opus-4.7, ahead of Claude Code at 69.4%. > Stateless loop, stateful orchestration, and provider layer as separate packages. > Agent teams, plugins, MCP, CRON jobs, and connector channels for Telegram, Slack, WhatsApp, all native.

Cline has shipped Cline SDK, an open-source agent runtime that now powers the CLI, VS Code, JetBrains, and Kanban, and is available for any team to build on. The whole Cline product line is being migrated onto it. > Cline CLI scores 74.2% on Terminal Bench 2.0 with claude-opus-4.7, ahead of Claude Code at 69.4%. > Stateless loop, stateful orchestration, and provider layer as separate packages. > Agent teams, plugins, MCP, CRON jobs, and connector channels for Telegram, Slack, WhatsApp, all native.

🚨 AI News | TestingCatalog

12,063 görüntüleme • 2 ay önce

Godfather of agents showed how he created the loop engineering that everyone now uses: as PhD student, he wrote the formula every AI agent now runs on - his formula taught agents to self-improve here's the formula: step 1 → stop making the model just think OR just act - make it alternate: think → act → observe → think again step 2 → let it reason out loud before every action - the plan guides the next move, not just the output step 3 → feed the result of each action back in - the model reads what happened and adjusts, live step 4 → when it fails, don't restart make it reflect on WHY it failed, in words, then retry with that memory step 5 → store those reflections - the agent gets better across attempts without any retraining before OpenAI, before he ran Tencent's AI - he was a grad student who quietly wrote the blueprint every agent now follows - now give 90-min course watch & bookmark - then read how the agent systems actually works ↓

Godfather of agents showed how he created the loop engineering that everyone now uses: as PhD student, he wrote the formula every AI agent now runs on - his formula taught agents to self-improve here's the formula: step 1 → stop making the model just think OR just act - make it alternate: think → act → observe → think again step 2 → let it reason out loud before every action - the plan guides the next move, not just the output step 3 → feed the result of each action back in - the model reads what happened and adjusts, live step 4 → when it fails, don't restart make it reflect on WHY it failed, in words, then retry with that memory step 5 → store those reflections - the agent gets better across attempts without any retraining before OpenAI, before he ran Tencent's AI - he was a grad student who quietly wrote the blueprint every agent now follows - now give 90-min course watch & bookmark - then read how the agent systems actually works ↓

codila

28,457 görüntüleme • 15 gün önce

Anthropic just gave OpenClaw the green light Anthropic staff confirmed that CLI-based usage is sanctioned. We’ve successfully bridged the Claude Code CLI directly into the OpenClaw gateway, letting you run your entire agent fleet on your Pro/Max plan and no additional API tokens required. The Implementation: - Auth: Log in to Claude Code locally: claude auth login - Path: Grab your binary location: which claude - Bridge: Drop the path into your openclaw.json under agents.defaults: "cliBackends": { "claude-cli": { "args": [ "-p", "--output-format", "json" ], "command": " ", "input": "arg", "output": "json", "serialize": true, "sessionArg": "--session-id", "sessionMode": "existing" } }, "model": { "primary": "claude-cli/claude-opus-4-6" }, "models": { "claude-cli/claude-opus-4-6": {}, "claude-cli/claude-opus-4-7": {}, "claude-cli/claude-sonnet-4-6": {} }, The Result: OpenClaw reuses your local session IDs and subscription limits. You get the full power of Opus and Sonnet without the restricted OAuth endpoints or the API tax. They sanctioned the path. We built the bridge. Here is a video how I done it step by step:

Anthropic just gave OpenClaw the green light Anthropic staff confirmed that CLI-based usage is sanctioned. We’ve successfully bridged the Claude Code CLI directly into the OpenClaw gateway, letting you run your entire agent fleet on your Pro/Max plan and no additional API tokens required. The Implementation: - Auth: Log in to Claude Code locally: claude auth login - Path: Grab your binary location: which claude - Bridge: Drop the path into your openclaw.json under agents.defaults: "cliBackends": { "claude-cli": { "args": [ "-p", "--output-format", "json" ], "command": " ", "input": "arg", "output": "json", "serialize": true, "sessionArg": "--session-id", "sessionMode": "existing" } }, "model": { "primary": "claude-cli/claude-opus-4-6" }, "models": { "claude-cli/claude-opus-4-6": {}, "claude-cli/claude-opus-4-7": {}, "claude-cli/claude-sonnet-4-6": {} }, The Result: OpenClaw reuses your local session IDs and subscription limits. You get the full power of Opus and Sonnet without the restricted OAuth endpoints or the API tax. They sanctioned the path. We built the bridge. Here is a video how I done it step by step:

Ziwen

182,975 görüntüleme • 3 ay önce

An Anthropic researcher sat down next to me at a hackathon last week. Claude Opus 4.7 was running 4 agents on my laptop. Live. No manual input. She looked at the terminal and said: "What is this?" I showed her. 4 agents. 678 trades. 81% win rate. $16,200 last 30 days. She worked on the evals team. She'd never seen Claude pointed at 88 million on-chain trades. The setup is 3 public repos. All free. -> 88 million Polymarket trades. Every wallet. Every entry. Every exit. Every resolution. -> the framework that bridges Claude Opus 4.7 directly to live markets. Order placement, position tracking, exit timing. -> real-time WebSocket order book. Depth on both sides. No polling, no lag. Four agents. One loop. Agent 1 identifies which wallets win consistently across 88 million trades. Agent 2 reverse-engineers their entry timing. Agent 3 monitors order book volume spikes. Agent 4 sizes positions using Kelly. No overbet. Drawdown capped at 1.4% over 678 trades. 85% of windows get killed. No trade. The bot only enters when 3 signals align: -> Elite wallet consensus pointing the same direction. -> Price divergence with Binance and Coinbase both agreeing. -> Order book imbalance confirming the bias. Single-source price data was 57% accurate. All three together: 81%. Exit before resolution. Always. Losers hold to 0 or $1. The agents copy their exits. The agents don't gamble on that. My stack: Claude Opus 4.7 at $19/mo, VPS Hetzner at $4.99/mo, Everything else free. Total stats: $23.99/month. 30 days: 678 trades, 81% win rate, net +$16,200, max drawdown -1.2%, avg hold 4h 12m. She asked if Anthropic could test this internally. "We run Claude on benchmarks and evals. Nobody pointed it at a live market dataset with 88 million rows." Claude Opus 4.7 didn't need a system prompt. It read the wallet index, understood the signal structure, and wrote the combiner logic in one pass. The people who built the model hadn't thought to point it at this data. I had. Copy the live trades: -> all 4 agents run 24/7. The window is open right now. Save this, follow me and comment OPUS. I will send the guide to you.

An Anthropic researcher sat down next to me at a hackathon last week. Claude Opus 4.7 was running 4 agents on my laptop. Live. No manual input. She looked at the terminal and said: "What is this?" I showed her. 4 agents. 678 trades. 81% win rate. $16,200 last 30 days. She worked on the evals team. She'd never seen Claude pointed at 88 million on-chain trades. The setup is 3 public repos. All free. -> 88 million Polymarket trades. Every wallet. Every entry. Every exit. Every resolution. -> the framework that bridges Claude Opus 4.7 directly to live markets. Order placement, position tracking, exit timing. -> real-time WebSocket order book. Depth on both sides. No polling, no lag. Four agents. One loop. Agent 1 identifies which wallets win consistently across 88 million trades. Agent 2 reverse-engineers their entry timing. Agent 3 monitors order book volume spikes. Agent 4 sizes positions using Kelly. No overbet. Drawdown capped at 1.4% over 678 trades. 85% of windows get killed. No trade. The bot only enters when 3 signals align: -> Elite wallet consensus pointing the same direction. -> Price divergence with Binance and Coinbase both agreeing. -> Order book imbalance confirming the bias. Single-source price data was 57% accurate. All three together: 81%. Exit before resolution. Always. Losers hold to 0 or $1. The agents copy their exits. The agents don't gamble on that. My stack: Claude Opus 4.7 at $19/mo, VPS Hetzner at $4.99/mo, Everything else free. Total stats: $23.99/month. 30 days: 678 trades, 81% win rate, net +$16,200, max drawdown -1.2%, avg hold 4h 12m. She asked if Anthropic could test this internally. "We run Claude on benchmarks and evals. Nobody pointed it at a live market dataset with 88 million rows." Claude Opus 4.7 didn't need a system prompt. It read the wallet index, understood the signal structure, and wrote the combiner logic in one pass. The people who built the model hadn't thought to point it at this data. I had. Copy the live trades: -> all 4 agents run 24/7. The window is open right now. Save this, follow me and comment OPUS. I will send the guide to you.

slash1s

46,308 görüntüleme • 3 ay önce

A Google Cloud engineer just showed how to build a full app with Claude from scratch he spent 26 minutes live on stage doing what most teams take weeks to do worth more than any $500 vibe-coding course here's what he covers: > zero to deployed app in a single session > handling five engineering roles alone with Claude > the exact workflow Google uses internally > no team, no setup, just Claude and a goal the people who figure out what Claude can actually do are building things everyone else thinks requires a team that's exactly why I wrote a step by step guide on how to build your first AI agent the guide is in the article below

A Google Cloud engineer just showed how to build a full app with Claude from scratch he spent 26 minutes live on stage doing what most teams take weeks to do worth more than any $500 vibe-coding course here's what he covers: > zero to deployed app in a single session > handling five engineering roles alone with Claude > the exact workflow Google uses internally > no team, no setup, just Claude and a goal the people who figure out what Claude can actually do are building things everyone else thinks requires a team that's exactly why I wrote a step by step guide on how to build your first AI agent the guide is in the article below

Anatoli Kopadze

458,531 görüntüleme • 1 ay önce

Spent the day testing Claude Opus 4.7. Last month I built a design director agent for OpenClaw and now it cooks. 15 minutes in, Paper Design MCP + Claude Code had made me a rough draft. In under an hour, a Framer worthy site. My workflow: 1. Feed my agent references so it can extract design systems and lock in on my taste 2. Claude Code calls Paper Design MCP to generate the visual system (just keep the Paper app open) 3. Paper exports the assets and Claude Code then preps the build docs 4. Agent loops back, critiques, iterates Got no clue why anyone is paying $10K for a website anymore. It’s easy now.

Spent the day testing Claude Opus 4.7. Last month I built a design director agent for OpenClaw and now it cooks. 15 minutes in, Paper Design MCP + Claude Code had made me a rough draft. In under an hour, a Framer worthy site. My workflow: 1. Feed my agent references so it can extract design systems and lock in on my taste 2. Claude Code calls Paper Design MCP to generate the visual system (just keep the Paper app open) 3. Paper exports the assets and Claude Code then preps the build docs 4. Agent loops back, critiques, iterates Got no clue why anyone is paying $10K for a website anymore. It’s easy now.

klöss

14,574 görüntüleme • 3 ay önce

VIDEO | Here’s what advocate Prashant Bhushan (Prashant Bhushan) said on Delhi CM Arvind Kejriwal’s arrest by ED. “It’s astounding that ED has arrested the Chief Minister of a state just before the elections after the model code of conduct that has kicked into place and in a case where they don’t have any documentary evidence to show that he was involved in the corruption; where they are relying on a statement of some approver who was the officer of a company. The company that had given electoral bonds to the BJP party which controls the ED.” (Full video available on PTI Videos -

VIDEO | Here’s what advocate Prashant Bhushan (Prashant Bhushan) said on Delhi CM Arvind Kejriwal’s arrest by ED. “It’s astounding that ED has arrested the Chief Minister of a state just before the elections after the model code of conduct that has kicked into place and in a case where they don’t have any documentary evidence to show that he was involved in the corruption; where they are relying on a statement of some approver who was the officer of a company. The company that had given electoral bonds to the BJP party which controls the ED.” (Full video available on PTI Videos -

Press Trust of India

370,762 görüntüleme • 2 yıl önce

Jane Street spent $6 billion and 4,032 GPUs on one thing: AI agents that loop through trading strategies 100x faster than any human. Generate, backtest, kill, repeat - thousands a week, until one survives data it's never seen. That loop is why they made $39.6 billion last year while 89% of retail went broke trading one idea they never stress-tested. The edge was never a smarter idea. It was volume. They test 100 strategies for every 1 you test by hand, and a second agent kills the 97 that only look good on old data before a dollar goes live. Now the entire loop fits in a chat box. Horizon takes one plain-English sentence and spins up the same two agents. One builds your strategy, one tries to kill it - backtests 5 years in seconds, and only what survives goes live on your exchange. The $150 billion setup. Free while beta open. Bookmark this & read the full breakdown below - the exact two-agent loop, step by step, and who just handed it to retail.

Jane Street spent $6 billion and 4,032 GPUs on one thing: AI agents that loop through trading strategies 100x faster than any human. Generate, backtest, kill, repeat - thousands a week, until one survives data it's never seen. That loop is why they made $39.6 billion last year while 89% of retail went broke trading one idea they never stress-tested. The edge was never a smarter idea. It was volume. They test 100 strategies for every 1 you test by hand, and a second agent kills the 97 that only look good on old data before a dollar goes live. Now the entire loop fits in a chat box. Horizon takes one plain-English sentence and spins up the same two agents. One builds your strategy, one tries to kill it - backtests 5 years in seconds, and only what survives goes live on your exchange. The $150 billion setup. Free while beta open. Bookmark this & read the full breakdown below - the exact two-agent loop, step by step, and who just handed it to retail.

cvxv666

316,312 görüntüleme • 25 gün önce

Mentat Demo v0 We're excited to share a demo of our product v0, recorded live in a continuous run. We're showcasing how Mentat can be used for token due diligence as an early use case for the product, but the ultimate goal is much bigger! We're developing the universal API for any app, agent, or framework to leverage and gain instant crypto intelligence and understanding. This is the first step toward Mentat becoming the go-to Web3 intelligence layer.

Mentat Demo v0 We're excited to share a demo of our product v0, recorded live in a continuous run. We're showcasing how Mentat can be used for token due diligence as an early use case for the product, but the ultimate goal is much bigger! We're developing the universal API for any app, agent, or framework to leverage and gain instant crypto intelligence and understanding. This is the first step toward Mentat becoming the go-to Web3 intelligence layer.

Mentat AI

20,947 görüntüleme • 1 yıl önce

Coding agents waste a lot of tokens just figuring out how a site is structured before they can touch it. Map it once instead. Agentmap crawls any site and turns it into a structured map, pages, flows, and the data on each, that any agent loads in one shot. claude code, cursor, a browser agent, all of them skip the blind exploration and go straight to the task. Open source, powered by hyperbrowser ↓

Coding agents waste a lot of tokens just figuring out how a site is structured before they can touch it. Map it once instead. Agentmap crawls any site and turns it into a structured map, pages, flows, and the data on each, that any agent loads in one shot. claude code, cursor, a browser agent, all of them skip the blind exploration and go straight to the task. Open source, powered by hyperbrowser ↓

Hyperbrowser

15,439 görüntüleme • 27 gün önce

Anthropic hired this engineer at $250k-$600k/year because he can built projects with zero lines of code - in Claude chat: in this 30-min workshop he showed exactly how, using loops - from 0% to 100% here's workflow, step by step: step 1 → set your rules once at the top: "no preamble, use artifacts, you're a React expert" - every reply after that stays on rails step 2 → load the docs plus a random Medium article about the API - the human explanation teaches it more than the reference step 3 → wrap your ask in XML tags and tell it to ask you questions first. Answer 5, and the scope is locked before a single file exists step 4 → now run the loop: screenshot the broken UI, paste it back, let it fix, screenshot again - each pass gets closer - this is the agentic loop in its simplest form step 5 → push to GitHub, then paste the repo link in - every next loop iteration builds on working code, not chat history most people never did this - it pays for itself on day one watch & bookmark - then read how to get Claude Certified Architect in the article below ↓

Anthropic hired this engineer at $250k-$600k/year because he can built projects with zero lines of code - in Claude chat: in this 30-min workshop he showed exactly how, using loops - from 0% to 100% here's workflow, step by step: step 1 → set your rules once at the top: "no preamble, use artifacts, you're a React expert" - every reply after that stays on rails step 2 → load the docs plus a random Medium article about the API - the human explanation teaches it more than the reference step 3 → wrap your ask in XML tags and tell it to ask you questions first. Answer 5, and the scope is locked before a single file exists step 4 → now run the loop: screenshot the broken UI, paste it back, let it fix, screenshot again - each pass gets closer - this is the agentic loop in its simplest form step 5 → push to GitHub, then paste the repo link in - every next loop iteration builds on working code, not chat history most people never did this - it pays for itself on day one watch & bookmark - then read how to get Claude Certified Architect in the article below ↓

codila

274,284 görüntüleme • 2 gün önce

RFK Jr. summarizes a shocking case of scientific corruption at the CDC: "In 2002, the CDC conducted an internal study on children in Atlanta, GA. They compared kids who received the MMR vaccine on time (before 36 months) to those who received it later. The data revealed an undeniable and alarming fact: Black boys who received the vaccine on schedule had a 260% increased chance of an autism diagnosis. But the public never heard this. The lead scientist, Dr. William Thompson, was ordered by his CDC boss to enter a room with the other co-authors and destroy that specific data. They were commanded to bury the evidence. The study was then published, omitting this critical finding entirely. This isn't a conspiracy—it's a documented case of a senior official at a captured agency ordering the manipulation of science to serve a preferred narrative, regardless of the public health cost. This is the corruption we are ending."

RFK Jr. summarizes a shocking case of scientific corruption at the CDC: "In 2002, the CDC conducted an internal study on children in Atlanta, GA. They compared kids who received the MMR vaccine on time (before 36 months) to those who received it later. The data revealed an undeniable and alarming fact: Black boys who received the vaccine on schedule had a 260% increased chance of an autism diagnosis. But the public never heard this. The lead scientist, Dr. William Thompson, was ordered by his CDC boss to enter a room with the other co-authors and destroy that specific data. They were commanded to bury the evidence. The study was then published, omitting this critical finding entirely. This isn't a conspiracy—it's a documented case of a senior official at a captured agency ordering the manipulation of science to serve a preferred narrative, regardless of the public health cost. This is the corruption we are ending."

Camus

52,943 görüntüleme • 11 ay önce

A Google Cloud engineer just showed how to build a full app with Claude from scratch he spent 26 minutes showing exactly what one person with Claude can do, completely free worth more than any $500 vibe-coding course here's what he covers: > raw idea to deployed app in a single session > using Claude as the entire engineering team > the exact workflow they use at Google > no big team, no prior experience needed the people who figure out what Claude can actually do are building things everyone else thinks requires a team that's exactly why I put together a step-by-step guide on building your first AI agent from scratch the full walkthrough is in the article below

A Google Cloud engineer just showed how to build a full app with Claude from scratch he spent 26 minutes showing exactly what one person with Claude can do, completely free worth more than any $500 vibe-coding course here's what he covers: > raw idea to deployed app in a single session > using Claude as the entire engineering team > the exact workflow they use at Google > no big team, no prior experience needed the people who figure out what Claude can actually do are building things everyone else thinks requires a team that's exactly why I put together a step-by-step guide on building your first AI agent from scratch the full walkthrough is in the article below

Anatoli Kopadze

43,005 görüntüleme • 1 ay önce

🚨 WTF?! Sen. Thom Tillis (R-NC) just came out in SUPPORT of disgraced former FBI Director James Comey posting "8647" in the DOJ case, a clear call to take Trump out "I used to work in the restaurant industry...it has its roots in 86'ing the menu or product. I can't find any evidence...I can't find any evidence 86 is a call for violence." "No [it's not a crime!] If this whole case is based on a picture in the sand of a North Carolina beach, it makes NO sense!" "Republicans are better than this!" 🤡🤡 Good thing he's RETIRING.

🚨 WTF?! Sen. Thom Tillis (R-NC) just came out in SUPPORT of disgraced former FBI Director James Comey posting "8647" in the DOJ case, a clear call to take Trump out "I used to work in the restaurant industry...it has its roots in 86'ing the menu or product. I can't find any evidence...I can't find any evidence 86 is a call for violence." "No [it's not a crime!] If this whole case is based on a picture in the sand of a North Carolina beach, it makes NO sense!" "Republicans are better than this!" 🤡🤡 Good thing he's RETIRING.

Eric Daugherty

116,563 görüntüleme • 3 ay önce

Professor Usman Yusuf has called on Bola Ahmed Tinubu to release Nasir Ahmad El-Rufai and charge him to court if there is any evidence against him. According to Yusuf, if the authorities truly have a case against El-Rufai, the proper legal step is to take him before a court of law rather than keeping him in detention under the guise of an ongoing investigation.

Professor Usman Yusuf has called on Bola Ahmed Tinubu to release Nasir Ahmad El-Rufai and charge him to court if there is any evidence against him. According to Yusuf, if the authorities truly have a case against El-Rufai, the proper legal step is to take him before a court of law rather than keeping him in detention under the guise of an ongoing investigation.

Mal. Imran U. Wakili (PULLO) 👑 #iSTANDWITHELRUFAI

22,417 görüntüleme • 4 ay önce

Anthropic Head of Product: "Fable 5 is the best model we've ever shipped for agentic work. Our engineers now ship 8x more code than they did in past years." in 42 minutes, the Anthropic team shows how to build self-improving agent systems with Fable 5: managed agents, dreaming, dynamic workflows worth more than a $500 agent building course live from Anthropic's latest stage in Japan, just hours ago i turned everything they showed on stage into a step-by-step guide on building your own agent you can find the full guide below

Anthropic Head of Product: "Fable 5 is the best model we've ever shipped for agentic work. Our engineers now ship 8x more code than they did in past years." in 42 minutes, the Anthropic team shows how to build self-improving agent systems with Fable 5: managed agents, dreaming, dynamic workflows worth more than a $500 agent building course live from Anthropic's latest stage in Japan, just hours ago i turned everything they showed on stage into a step-by-step guide on building your own agent you can find the full guide below

Anatoli Kopadze

79,808 görüntüleme • 1 ay önce

Boris Cherny, the engineer who built Claude Code: "I don't talk to an agent anymore. I talk to a loop" a prompt is one instruction you babysit. a loop is a goal the AI works toward on its own: > it plans > does the work > checks itself > fixes what's weak > and repeats until it's done you step out, the work keeps going that's the shift the best engineers quietly moved to. most people hear a line like that and have no idea what it means in practice this breaks it down without the hype: what a loop actually is, when it's worth building, when it's a money trap, and how to run one yourself today watch his clip, then read the article below

Boris Cherny, the engineer who built Claude Code: "I don't talk to an agent anymore. I talk to a loop" a prompt is one instruction you babysit. a loop is a goal the AI works toward on its own: > it plans > does the work > checks itself > fixes what's weak > and repeats until it's done you step out, the work keeps going that's the shift the best engineers quietly moved to. most people hear a line like that and have no idea what it means in practice this breaks it down without the hype: what a loop actually is, when it's worth building, when it's a money trap, and how to run one yourself today watch his clip, then read the article below

Dep

20,874 görüntüleme • 1 ay önce

West Bengal CID has issued a fresh notice to TMC MP Abhishek Banerjee in a case related to alleged inflammatory speeches and purported threats against Union Home Minister Amit Shah during the Assembly election campaign. The case, which was initially being investigated by Bidhannagar Cyber Police Station, has now been taken over by the CID. Banerjee has been asked to appear before investigators on June 16. Notably, between June 14 and June 16, he is scheduled to face questioning in three separate cases: • June 14 – Forged Signature Case: Summoned by CID • June 15 – Primary Teacher Recruitment Case: Summoned by the ED • June 16 – Inflammatory Speech Case: Summoned by CID

West Bengal CID has issued a fresh notice to TMC MP Abhishek Banerjee in a case related to alleged inflammatory speeches and purported threats against Union Home Minister Amit Shah during the Assembly election campaign. The case, which was initially being investigated by Bidhannagar Cyber Police Station, has now been taken over by the CID. Banerjee has been asked to appear before investigators on June 16. Notably, between June 14 and June 16, he is scheduled to face questioning in three separate cases: • June 14 – Forged Signature Case: Summoned by CID • June 15 – Primary Teacher Recruitment Case: Summoned by the ED • June 16 – Inflammatory Speech Case: Summoned by CID

Piyali Mitra

11,056 görüntüleme • 1 ay önce

YT Podcast → LLM Artifact This is now my favorite way to consume podcasts. Knowledge artifacts generated by agents. The agent (Opus 4.7) spots important insights, does deep analysis, and generates thought-provoking observations that really get me curious to research further. All the research goes into a self-improving wiki for later use by any of my agents. I am using Elevenlabs Scribe for diarization. Skills and scripts to guide the artifact generation. Artifacts are just plain HTML + JS (e.g., chart.js). You can go further on anything by selecting text and components (charts) and doing deeper research, as I show in the clip. I expect more people to use agents in this way.

YT Podcast → LLM Artifact This is now my favorite way to consume podcasts. Knowledge artifacts generated by agents. The agent (Opus 4.7) spots important insights, does deep analysis, and generates thought-provoking observations that really get me curious to research further. All the research goes into a self-improving wiki for later use by any of my agents. I am using Elevenlabs Scribe for diarization. Skills and scripts to guide the artifact generation. Artifacts are just plain HTML + JS (e.g., chart.js). You can go further on anything by selecting text and components (charts) and doing deeper research, as I show in the clip. I expect more people to use agents in this way.

elvis

31,855 görüntüleme • 3 ay önce

A blackjack dealer in Macau got blacklisted from the VIP rooms last spring for counting cards. By August he couldn't get a floor job at any property in Cotai. So he deposit $500, ran a Hermes trading agent on Polymarket and pulled in $881,319 over the next 14 months. His wallet: The casinos taught him one thing - count, size your bet to your edge, walk away when the edge is gone. So he makes 5 trades a day. Not 50. Not 500. Five. And waits for the rest. Here's the actual stack. Claude Opus 4.7 reads the order book nightly, scores every threshold market by Markov persistence x Kelly edge, and surfaces the 2-3 mispriced ones. Hermes Agent by NousResearch executes. A $10/mo Hetzner VPS runs it 24/7. Telegram pings on every fill. Total cost: $10/month. Setup: 30 minutes. No coding. One trade in April: Will Bitcoin reach $90,000? Market said 1.2¢. He put $3,088 on Yes. It hit. +$123,196. A 3,988% return on a single position. The real edge is the nightly self-learning loop. Every midnight, Opus reads the day's trade journal and rewrites MIN_PROB and MIN_EDGE in the .env file. Last week the threshold was 0.87. This week 0.89. Next week maybe 0.91. His version of the bot has rewritten itself 412 times in 14 months. The Macau syndicate couldn't ban him from Polymarket. The bot doesn't sit at a table. It doesn't show a passport. It just hunts the tails. Save this post - if you want to build something of your own based on Hermes. Or just start copying algorithm that has improved itself 412 times:

A blackjack dealer in Macau got blacklisted from the VIP rooms last spring for counting cards. By August he couldn't get a floor job at any property in Cotai. So he deposit $500, ran a Hermes trading agent on Polymarket and pulled in $881,319 over the next 14 months. His wallet: The casinos taught him one thing - count, size your bet to your edge, walk away when the edge is gone. So he makes 5 trades a day. Not 50. Not 500. Five. And waits for the rest. Here's the actual stack. Claude Opus 4.7 reads the order book nightly, scores every threshold market by Markov persistence x Kelly edge, and surfaces the 2-3 mispriced ones. Hermes Agent by NousResearch executes. A $10/mo Hetzner VPS runs it 24/7. Telegram pings on every fill. Total cost: $10/month. Setup: 30 minutes. No coding. One trade in April: Will Bitcoin reach $90,000? Market said 1.2¢. He put $3,088 on Yes. It hit. +$123,196. A 3,988% return on a single position. The real edge is the nightly self-learning loop. Every midnight, Opus reads the day's trade journal and rewrites MIN_PROB and MIN_EDGE in the .env file. Last week the threshold was 0.87. This week 0.89. Next week maybe 0.91. His version of the bot has rewritten itself 412 times in 14 months. The Macau syndicate couldn't ban him from Polymarket. The bot doesn't sit at a table. It doesn't show a passport. It just hunts the tails. Save this post - if you want to build something of your own based on Hermes. Or just start copying algorithm that has improved itself 412 times:

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208,148 görüntüleme • 2 ay önce