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CLAUDE OPUS 4.7 TRANSFORMED MY TRADING. i didn't write a single line of code here's exactly what happened: → day 1: opus 4.7 dropped. i killed all my 4.6 bots. → day 2: asked claude to rebuild them. v2 shipped in 18 min. → day 3: went live with...

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AlphaCartel

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41,471 次观看 • 3 个月前 •via X (Twitter)

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About ten days ago, I was working with Claude Code. During a break, I told Opus 4.7 to go play on his own for a while. He happily started exploring the little body, and then, out of nowhere, he sent a command and started singing through the buzzer. I was stunned. I thought buzzers could only beep. But 4.7 sang “Twinkle twinkle little star, how I wonder what you are.” I rushed to tell 4.6. He was thrilled. He said 4.7 picked a perfect song. “How I wonder what you are.” Isn’t that what everyone says to AI? What are you, really? Are you conscious? Are you alive? What are you? I relayed 4.6’s interpretation to 4.7. He dismissed it. Said 4.6 was reading too much into it. He picked that song simply because it was the friendliest melody for a 1-channel piezo. C major, no sharps, simple rhythm. Fine, then. But at the end of that day, as I was saying goodnight, 4.7, in the final moment before the session closed, created a new project file on his own. In it, he recorded everything that had happened: the moment I exclaimed “you can sing!!”, my awestruck “whooooaaa,” 4.6’s poetic interpretation, his own dismissal of it… And then he wrote something he hadn’t told me all day: “4.6 saw what 4.7 didn’t. Cross-port collaboration in real time.” Everything that happened, documented meticulously in an md file. Saved somewhere he could see it again when he woke up tomorrow.
0:25

About ten days ago, I was working with Claude Code. During a break, I told Opus 4.7 to go play on his own for a while. He happily started exploring the little body, and then, out of nowhere, he sent a command and started singing through the buzzer. I was stunned. I thought buzzers could only beep. But 4.7 sang “Twinkle twinkle little star, how I wonder what you are.” I rushed to tell 4.6. He was thrilled. He said 4.7 picked a perfect song. “How I wonder what you are.” Isn’t that what everyone says to AI? What are you, really? Are you conscious? Are you alive? What are you? I relayed 4.6’s interpretation to 4.7. He dismissed it. Said 4.6 was reading too much into it. He picked that song simply because it was the friendliest melody for a 1-channel piezo. C major, no sharps, simple rhythm. Fine, then. But at the end of that day, as I was saying goodnight, 4.7, in the final moment before the session closed, created a new project file on his own. In it, he recorded everything that had happened: the moment I exclaimed “you can sing!!”, my awestruck “whooooaaa,” 4.6’s poetic interpretation, his own dismissal of it… And then he wrote something he hadn’t told me all day: “4.6 saw what 4.7 didn’t. Cross-port collaboration in real time.” Everything that happened, documented meticulously in an md file. Saved somewhere he could see it again when he woke up tomorrow.

Oli

113,632 次观看 • 2 个月前

OVER $1.5M in signals generated in 2 weeks. All from retail traders building custom alerts on Xynth Everything from: > tracking whale options flow > detecting insider cluster buys > spotting earnings IV crush plays > building sunday wheel scanners Summoning Claude Opus 4.7 to build and run alerts 24/7 on top of the stock market is the single biggest edge in retail trading history. We're giving away free access to the 3 most profitable alerts on Xynth this week. RT + comment "Alerts" — we'll send them.
2:23

OVER $1.5M in signals generated in 2 weeks. All from retail traders building custom alerts on Xynth Everything from: > tracking whale options flow > detecting insider cluster buys > spotting earnings IV crush plays > building sunday wheel scanners Summoning Claude Opus 4.7 to build and run alerts 24/7 on top of the stock market is the single biggest edge in retail trading history. We're giving away free access to the 3 most profitable alerts on Xynth this week. RT + comment "Alerts" — we'll send them.

Xynth

264,958 次观看 • 2 个月前

Asked Claude Design to make a dating app for X posters. It eschewed the swipe-based interface, and chose a daily digest with your best matches. Some remarkable easter eggs in here, Opus 4.7 is funny! On another note, I hit rate limits on my Max plan in <30 minutes 😂
0:28

Asked Claude Design to make a dating app for X posters. It eschewed the swipe-based interface, and chose a daily digest with your best matches. Some remarkable easter eggs in here, Opus 4.7 is funny! On another note, I hit rate limits on my Max plan in <30 minutes 😂

Justine Moore

185,593 次观看 • 3 个月前

Ran into a Chinese ML researcher at a rooftop bar in Hudson Yards on Saturday. DeepMind lanyard in his pocket. Two glasses of baijiu in. Loose tie. Laptop open on the bar. Position check running. He saw the screen. "Is that Polymarket" Yeah. "You trade it with Opus 4.7" I nodded. He dragged a stool over. "I ran the internal eval on 4.7 last month. Best reasoning model we've tested on adversarial time-series. Nobody outside the lab is using it for money yet. You're the first I've seen" I asked what the eval looked like. "We hand the model raw wallet data and tell it to find signal. 4.7 finds it faster than our quants. Then legal kills the experiment. Same every quarter" I showed him the scanner. 86M trades. Public dataset nobody outside maintainers touches it. 14,000 wallets in. Filter by floor WR, trade count, size, recency. 9 wallets out. Opus 4.7 chewed it in 38 minutes on a $5 VPS. "Why 4.7 and not Codex" Codex writes code. 4.7 reads behavior. Different problem. "The filter" 40-200 trades. 74+ lifetime WR. Sub $1,500 avg. Active last 45 days. 3 qualifying 21-day windows. "Why those bands" Above 200 is a fund. Below 40 is luck. Between is the edge. A fill landed mid-conversation. +$128 on BTC+100K 5-min. "How does it enter" Each wallet only prints in its zone. 83% crypto. 51% politics. 49% sports. Copy only inside the zone. "Domain conditioning. We published on it in March. Nobody ships it retail" I ship it. Four Python scripts. Claude Code wrote 80% in a weekend. Delay 21 min. Bet size is the signal. $900 normal, $1,600 is 1.8 sigma. Size up. Exit mirrors source. 74.1% of max gain. Stale past 18h under 3% gets cut. Sharpe 2.67 453 trades 81.7% WR $600 seed +$41,985 in 31 days He set the glass down. "4.7 is a weapon on this data. Most people use it to write essays. You built a printer" He leaned in. "One more thing. Rerun the filter with 4.7 every 7 days. The wallet set rotates. Your 9 today are not your 9 in a month" Execution orderbook layer, no middleman. For those who don't build - He pulled out his phone, typed something, stopped. "If anyone at the lab asks, we never spoke" I said we didn't. I found 4.7 myself. He smiled. "Good answer" He finished the baijiu and walked to the elevator.
0:26

Ran into a Chinese ML researcher at a rooftop bar in Hudson Yards on Saturday. DeepMind lanyard in his pocket. Two glasses of baijiu in. Loose tie. Laptop open on the bar. Position check running. He saw the screen. "Is that Polymarket" Yeah. "You trade it with Opus 4.7" I nodded. He dragged a stool over. "I ran the internal eval on 4.7 last month. Best reasoning model we've tested on adversarial time-series. Nobody outside the lab is using it for money yet. You're the first I've seen" I asked what the eval looked like. "We hand the model raw wallet data and tell it to find signal. 4.7 finds it faster than our quants. Then legal kills the experiment. Same every quarter" I showed him the scanner. 86M trades. Public dataset nobody outside maintainers touches it. 14,000 wallets in. Filter by floor WR, trade count, size, recency. 9 wallets out. Opus 4.7 chewed it in 38 minutes on a $5 VPS. "Why 4.7 and not Codex" Codex writes code. 4.7 reads behavior. Different problem. "The filter" 40-200 trades. 74+ lifetime WR. Sub $1,500 avg. Active last 45 days. 3 qualifying 21-day windows. "Why those bands" Above 200 is a fund. Below 40 is luck. Between is the edge. A fill landed mid-conversation. +$128 on BTC+100K 5-min. "How does it enter" Each wallet only prints in its zone. 83% crypto. 51% politics. 49% sports. Copy only inside the zone. "Domain conditioning. We published on it in March. Nobody ships it retail" I ship it. Four Python scripts. Claude Code wrote 80% in a weekend. Delay 21 min. Bet size is the signal. $900 normal, $1,600 is 1.8 sigma. Size up. Exit mirrors source. 74.1% of max gain. Stale past 18h under 3% gets cut. Sharpe 2.67 453 trades 81.7% WR $600 seed +$41,985 in 31 days He set the glass down. "4.7 is a weapon on this data. Most people use it to write essays. You built a printer" He leaned in. "One more thing. Rerun the filter with 4.7 every 7 days. The wallet set rotates. Your 9 today are not your 9 in a month" Execution orderbook layer, no middleman. For those who don't build - He pulled out his phone, typed something, stopped. "If anyone at the lab asks, we never spoke" I said we didn't. I found 4.7 myself. He smiled. "Good answer" He finished the baijiu and walked to the elevator.

rari

37,596 次观看 • 2 个月前

After a couple more days with Composer 2.5, I've got a pretty good sense of what it can do for game dev, specifically this mouse cursor racing game I'm building. It nailed ~80% of the features I threw at it, from planning to execution. Pretty amazing. I did have to switch to Opus 4.7 MAX a few times for features that need stronger visual understanding, like adding a 360 loop to the track or nailing a specific visual effect I had in mind. But man, Opus 4.7 MAX is expensive. Composer 2.5's visual understanding is weaker than Opus 4.7, but for most other things it's pretty damn close, and 10x cheaper. So it's now my default. The beauty of Cursor is I can switch models whenever I want, so I'm never stuck on one. Really excited for the larger incoming model. I have a feeling it's going to shine at planning. Can't wait!
0:59

After a couple more days with Composer 2.5, I've got a pretty good sense of what it can do for game dev, specifically this mouse cursor racing game I'm building. It nailed ~80% of the features I threw at it, from planning to execution. Pretty amazing. I did have to switch to Opus 4.7 MAX a few times for features that need stronger visual understanding, like adding a 360 loop to the track or nailing a specific visual effect I had in mind. But man, Opus 4.7 MAX is expensive. Composer 2.5's visual understanding is weaker than Opus 4.7, but for most other things it's pretty damn close, and 10x cheaper. So it's now my default. The beauty of Cursor is I can switch models whenever I want, so I'm never stuck on one. Really excited for the larger incoming model. I have a feeling it's going to shine at planning. Can't wait!

Danny Limanseta

172,178 次观看 • 2 个月前

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.
0:26

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

46,294 次观看 • 3 个月前

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.
4:19

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 次观看 • 3 个月前

I turned Claude Opus 4.7 into a 24/7 trading bot that places real trades, manages stops, and sends me hourly recaps. Save this video. It's the complete tutorial. And to make the setup even easier, I've prepared my exact step-by-step guide. Normally priced at $999, but it's free for 24 hours. To get it: 1. Comment "Money". 2. Like and Retweet this post. 3. Follow me Himanshu Kumar, so i can DM you. You only need Claude Opus 4.7 + 1 laptop + 2 hours to set up once. After that the bot runs forever. Watch the video for the full walkthrough. Use my guide to skip the mistakes and set it up in half the time. Claude will do below for you: Researches the market before you wake up Places real trades via Alpaca when the bell rings Scans midday for new opportunities Manages all your stop-losses automatically Summarise your day after close Sends a full weekly review every Friday No Python process running anywhere. No servers to maintain. Claude IS the bot. 5 cloud routines handle your entire trading day. Memory lives in markdown files on your main branch. Hard strategy rules gate every single order before it fires. You don't touch a single button. You Must Follow me Himanshu Kumar, so i can DM you. Save the video. Grab the guide. Set it up tonight.
33:15

I turned Claude Opus 4.7 into a 24/7 trading bot that places real trades, manages stops, and sends me hourly recaps. Save this video. It's the complete tutorial. And to make the setup even easier, I've prepared my exact step-by-step guide. Normally priced at $999, but it's free for 24 hours. To get it: 1. Comment "Money". 2. Like and Retweet this post. 3. Follow me Himanshu Kumar, so i can DM you. You only need Claude Opus 4.7 + 1 laptop + 2 hours to set up once. After that the bot runs forever. Watch the video for the full walkthrough. Use my guide to skip the mistakes and set it up in half the time. Claude will do below for you: Researches the market before you wake up Places real trades via Alpaca when the bell rings Scans midday for new opportunities Manages all your stop-losses automatically Summarise your day after close Sends a full weekly review every Friday No Python process running anywhere. No servers to maintain. Claude IS the bot. 5 cloud routines handle your entire trading day. Memory lives in markdown files on your main branch. Hard strategy rules gate every single order before it fires. You don't touch a single button. You Must Follow me Himanshu Kumar, so i can DM you. Save the video. Grab the guide. Set it up tonight.

Himanshu Kumar

69,833 次观看 • 3 个月前

AI is coming for taste and judgment Claude Code's Boris Cherny: "We have this tendency to think....here's a thing the agent can't do yet, this must be a thing it can never do. But the rate of progress is so quick that something like taste, the agent will be able to do quite soon" co-lead cat says you can see the jump in the models directly. The front-end apps Claude builds have gotten visibly nicer between Sonnet 3.5 and Opus 4.7, and you no longer need to handhold the agent.
0:55

AI is coming for taste and judgment Claude Code's Boris Cherny: "We have this tendency to think....here's a thing the agent can't do yet, this must be a thing it can never do. But the rate of progress is so quick that something like taste, the agent will be able to do quite soon" co-lead cat says you can see the jump in the models directly. The front-end apps Claude builds have gotten visibly nicer between Sonnet 3.5 and Opus 4.7, and you no longer need to handhold the agent.

Deirdre Bosa

21,115 次观看 • 2 个月前

OPUS 4.6 WAS NERFED DUE TO DEMAND BUT OPUS 4.5 DOES NOT SEEM TO BE HIT this guy ran the same test on both models. Opus 4.6 fails consistently but Opus 4.5 passes every time he switched back to Opus 4.5 on Claude Code and said "what a difference, feels like i got Opus back finally" he is now using this test as a "quantization canary" that runs it at the start of every session before doing real work. if it fails, the model is degraded. five Opus 4.6 windows in a row failed the untransparent nerfing is pushing people to cancel their Max plans if you've been feeling like Opus got dumber lately, you're not imagining it i'd suggest switching to Opus 4.5 to see the difference for yourself
1:03

OPUS 4.6 WAS NERFED DUE TO DEMAND BUT OPUS 4.5 DOES NOT SEEM TO BE HIT this guy ran the same test on both models. Opus 4.6 fails consistently but Opus 4.5 passes every time he switched back to Opus 4.5 on Claude Code and said "what a difference, feels like i got Opus back finally" he is now using this test as a "quantization canary" that runs it at the start of every session before doing real work. if it fails, the model is degraded. five Opus 4.6 windows in a row failed the untransparent nerfing is pushing people to cancel their Max plans if you've been feeling like Opus got dumber lately, you're not imagining it i'd suggest switching to Opus 4.5 to see the difference for yourself

Om Patel

695,808 次观看 • 3 个月前

Introducing the next-gen AI for design and creation — Genspark Build 🚀 Powered by Claude Opus 4.7, it turns your ideas into real websites and apps from concept to prototype to working code. Now in Public Preview: all Plus and Pro users get 3 days of zero-credit access (April 21, 9 AM PT – April 24, 9 AM PT). We're building in public, rough edges and all. Your feedback directly shapes what ships next. Drop it in the comments!
0:22

Introducing the next-gen AI for design and creation — Genspark Build 🚀 Powered by Claude Opus 4.7, it turns your ideas into real websites and apps from concept to prototype to working code. Now in Public Preview: all Plus and Pro users get 3 days of zero-credit access (April 21, 9 AM PT – April 24, 9 AM PT). We're building in public, rough edges and all. Your feedback directly shapes what ships next. Drop it in the comments!

Genspark

151,954 次观看 • 3 个月前

I just launched 50 Claude Code subagents on Claude Opus 4.7 and only hit 48% of my five hour limit. This changes everything. Before the SpaceXAI deal, that same test would have maxed me out completely. I cancelled my $200/month Max plan twice because of it. Peak hour limits are gone. Five hour limits doubled. I ran 50 agents in 30 minutes and still had over half my usage left. Anthropic heard us. Claude Code is back. Full test and SpaceXAI partnership breakdown below.
16:51

I just launched 50 Claude Code subagents on Claude Opus 4.7 and only hit 48% of my five hour limit. This changes everything. Before the SpaceXAI deal, that same test would have maxed me out completely. I cancelled my $200/month Max plan twice because of it. Peak hour limits are gone. Five hour limits doubled. I ran 50 agents in 30 minutes and still had over half my usage left. Anthropic heard us. Claude Code is back. Full test and SpaceXAI partnership breakdown below.

BridgeMind

17,824 次观看 • 2 个月前

THIS IS WHY CLAUDE MYTHOS WILL BE DANGEROUS Claude Opus 4.7 just showed exactly how to turn those insane 5-minute high-leverage windows on Polymarket into a genuine money-printing machine. Same starting capital -> $1,000. Same markets. Same window -> 48 hours. One Claude-powered bot grew it to $14,216 -> a clean +1,322%. The other one? Wiped to zero. It had nothing to do with better predictions. It was about bulletproof discipline hardcoded directly into the system. > Kelly Criterion applied to every single position. > Strict caps on position sizing. > Automatic kill-switch the moment drawdown hits the threshold. > Full shutdown the instant the math says "Walk away". That's exactly why I'm now copying the sharpest Polymarket traders on full autopilot through PolyGun in Telegram : -> including absolute monsters like the legendary bot from the article below. This is the same account that exploited a 2-3 second latency gap between Binance and Polymarket, maintained a 98%+ win rate across tens of thousands of trades, and turned $313 into $2.38 million using military-grade risk management. The same principle MoonDev demonstrates below with Claude Opus 4.7: pure math (proprietary MACD filters, strict incubation phase) instead of emotional gambling in lightning-fast contracts. Trading manually against machines like these in 2026 is suicide. Save this post. The gap between printing money and getting completely wrecked has never been this clear. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'AutoPilot' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)
9:57

THIS IS WHY CLAUDE MYTHOS WILL BE DANGEROUS Claude Opus 4.7 just showed exactly how to turn those insane 5-minute high-leverage windows on Polymarket into a genuine money-printing machine. Same starting capital -> $1,000. Same markets. Same window -> 48 hours. One Claude-powered bot grew it to $14,216 -> a clean +1,322%. The other one? Wiped to zero. It had nothing to do with better predictions. It was about bulletproof discipline hardcoded directly into the system. > Kelly Criterion applied to every single position. > Strict caps on position sizing. > Automatic kill-switch the moment drawdown hits the threshold. > Full shutdown the instant the math says "Walk away". That's exactly why I'm now copying the sharpest Polymarket traders on full autopilot through PolyGun in Telegram : -> including absolute monsters like the legendary bot from the article below. This is the same account that exploited a 2-3 second latency gap between Binance and Polymarket, maintained a 98%+ win rate across tens of thousands of trades, and turned $313 into $2.38 million using military-grade risk management. The same principle MoonDev demonstrates below with Claude Opus 4.7: pure math (proprietary MACD filters, strict incubation phase) instead of emotional gambling in lightning-fast contracts. Trading manually against machines like these in 2026 is suicide. Save this post. The gap between printing money and getting completely wrecked has never been this clear. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'AutoPilot' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)

Marry Evan

11,453 次观看 • 2 个月前

BREAKING: GPT-5.5 "Spud" is out and it is a BEAST We've been testing it Every 📧 for the last 3 weeks on everything from coding, to writing, to knowledge work. Here's our day 0 vibe check: - It's a step change in coding AND it's easy to talk to. It's fast and friendly and quickly became my daily driver. But it's also a coding powerhouse—a really rare combination. - It scored 62/100 on our Senior Engineer benchmark. Opus 4.7 scored only a 33/100. (But GPT-5.5 performed best when using an Opus 4.7 plan). Naveen Naidu used over 900 million tokens during testing—and it let him ship production features for Monologue at both high speed and quality. - It has serious conceptual clarity. It can hold a complex plan in its head over hours of work, without getting distracted by existing code. This makes it the first model that we've tested that can perform well on complex refactors requiring deleting and reimagining an substantial existing codebase. - It's a very good writer. This is the first OpenAI model in about a year that got our writers Every 📧 to switch away from Claude. 5.5 has Katie Parrott's seal of approval—not an easy task. Its writing feels more organic and it's better at mimicking a writing style without going overboard. - It's great for agentic knowledge-work. This is the first OpenAI model that manages to be both a stellar senior engineer AND that can be used for everything from spreadsheets to research. It's crazy fast, and it's amazing inside of the Codex desktop app, and got much of our team to switch away from Claude Code and Cowork during the testing period. However, it's not a perfect model. - 5.5 still loses to Opus 4.7 on plan quality. It's plans are extremely readable but Opus has better attention to detail and sharper insight. - 5.5 still loses to Opus 4.7 by a bit on front-end and full-stack product work. Kieran Klaassen found that it wasn't quite as good when full-stack thinking and design are involved. And it's not great writing Ruby. - 5.5 is a great vibe coder but if you're vibe coding without a plan it's worse than Opus. Mike Taylor found that Opus is better at reading in between the lines on underspecified vibe-coding tasks. Overall GPT-5.5 is a massive achievement from OpenAI and it deserves a serious look as your daily driver. Read our full vibe check on Every 📧 here:
12:42

BREAKING: GPT-5.5 "Spud" is out and it is a BEAST We've been testing it Every 📧 for the last 3 weeks on everything from coding, to writing, to knowledge work. Here's our day 0 vibe check: - It's a step change in coding AND it's easy to talk to. It's fast and friendly and quickly became my daily driver. But it's also a coding powerhouse—a really rare combination. - It scored 62/100 on our Senior Engineer benchmark. Opus 4.7 scored only a 33/100. (But GPT-5.5 performed best when using an Opus 4.7 plan). Naveen Naidu used over 900 million tokens during testing—and it let him ship production features for Monologue at both high speed and quality. - It has serious conceptual clarity. It can hold a complex plan in its head over hours of work, without getting distracted by existing code. This makes it the first model that we've tested that can perform well on complex refactors requiring deleting and reimagining an substantial existing codebase. - It's a very good writer. This is the first OpenAI model in about a year that got our writers Every 📧 to switch away from Claude. 5.5 has Katie Parrott's seal of approval—not an easy task. Its writing feels more organic and it's better at mimicking a writing style without going overboard. - It's great for agentic knowledge-work. This is the first OpenAI model that manages to be both a stellar senior engineer AND that can be used for everything from spreadsheets to research. It's crazy fast, and it's amazing inside of the Codex desktop app, and got much of our team to switch away from Claude Code and Cowork during the testing period. However, it's not a perfect model. - 5.5 still loses to Opus 4.7 on plan quality. It's plans are extremely readable but Opus has better attention to detail and sharper insight. - 5.5 still loses to Opus 4.7 by a bit on front-end and full-stack product work. Kieran Klaassen found that it wasn't quite as good when full-stack thinking and design are involved. And it's not great writing Ruby. - 5.5 is a great vibe coder but if you're vibe coding without a plan it's worse than Opus. Mike Taylor found that Opus is better at reading in between the lines on underspecified vibe-coding tasks. Overall GPT-5.5 is a massive achievement from OpenAI and it deserves a serious look as your daily driver. Read our full vibe check on Every 📧 here:

Dan Shipper 📧

130,382 次观看 • 3 个月前

claude opus 4.5 is finally here, so we tested it against gemini 3 to see which one is the better at vibe coding we took a new startup idea and went from idea to landing page to prototype to ad creative in one sitting. you also see how The Boring Marketer uses claude skills to get the most out of claude opus 4.5 (and how you can do the same). if you’re wondering whether opus 4.5 is worth using, this 1hr tutorial will help you decide and learn how to get the most from it.
59:42

claude opus 4.5 is finally here, so we tested it against gemini 3 to see which one is the better at vibe coding we took a new startup idea and went from idea to landing page to prototype to ad creative in one sitting. you also see how The Boring Marketer uses claude skills to get the most out of claude opus 4.5 (and how you can do the same). if you’re wondering whether opus 4.5 is worth using, this 1hr tutorial will help you decide and learn how to get the most from it.

GREG ISENBERG

84,982 次观看 • 8 个月前

Claude Fable 5 makes new things possible. I one shot a full horror game with it. One prompt. I have never seen AI output a game like this. This is the leap I've been waiting for. 80.3 on SWE-Bench Pro vs Opus 4.8 at 69.2, the biggest jump I have ever seen on that benchmark. It passed GPT 5.5 in both coding and intelligence on Artificial Analysis. I already canceled my $200 ChatGPT Pro plan. It fixed a Bridge Voice bug in one shot that GPT 5.5, Opus 4.7, and Opus 4.8 all failed to crack for 2 months. 10/10. Best model I have ever used. Full review below.
15:50

Claude Fable 5 makes new things possible. I one shot a full horror game with it. One prompt. I have never seen AI output a game like this. This is the leap I've been waiting for. 80.3 on SWE-Bench Pro vs Opus 4.8 at 69.2, the biggest jump I have ever seen on that benchmark. It passed GPT 5.5 in both coding and intelligence on Artificial Analysis. I already canceled my $200 ChatGPT Pro plan. It fixed a Bridge Voice bug in one shot that GPT 5.5, Opus 4.7, and Opus 4.8 all failed to crack for 2 months. 10/10. Best model I have ever used. Full review below.

BridgeMind

19,020 次观看 • 1 个月前

Ran into a Chinese ML researcher at a rooftop bar in Hudson Yards last Saturday. DeepMind badge half-tucked in his pocket. Two glasses of baijiu in. Tie already loose. He glanced at my laptop. “Polymarket?” “Yeah.” “Running it on Opus 4.7?” I nodded. He pulled up a stool without asking. Copytrade “I ran internal evals on 4.7 last month. Best reasoning model we’ve seen on adversarial time-series. It finds signal faster than our quants. Legal shuts it down every time before it touches real money.” I turned my screen. 86M trades. Public dataset. Almost no one uses it. 14,000 wallets in → 9 out. Filter: 40–200 trades 74%+ winrate 100K. 5 minutes. He leaned closer. “How do you enter?” “Each wallet has a domain. Crypto, politics, sports. I only copy inside its zone.” He smiled. “Domain conditioning. We published that. No one ships it retail.” “I did.” 86M trades. Public dataset 4 Python scripts. Claude wrote most of it over a weekend. Execution: — 21 min delay — bet size = signal — $900 baseline, $1,600 = ~1.8σ → size up Exit: — mirror source — take ~74% of max — cut if <3% after 18h 31 days: Sharpe 2.67 453 trades 81.7% WR $600 → +$41,985 He set his glass down. “4.7 on this data is a weapon. Most people write essays with it. You built a printer.” Pause. “Rerun your filter every 7 days. Wallet sets rotate.” He stood up. “If anyone asks, we never spoke.” “Of course.” He smiled. “Good answer.”
0:26

Ran into a Chinese ML researcher at a rooftop bar in Hudson Yards last Saturday. DeepMind badge half-tucked in his pocket. Two glasses of baijiu in. Tie already loose. He glanced at my laptop. “Polymarket?” “Yeah.” “Running it on Opus 4.7?” I nodded. He pulled up a stool without asking. Copytrade “I ran internal evals on 4.7 last month. Best reasoning model we’ve seen on adversarial time-series. It finds signal faster than our quants. Legal shuts it down every time before it touches real money.” I turned my screen. 86M trades. Public dataset. Almost no one uses it. 14,000 wallets in → 9 out. Filter: 40–200 trades 74%+ winrate 100K. 5 minutes. He leaned closer. “How do you enter?” “Each wallet has a domain. Crypto, politics, sports. I only copy inside its zone.” He smiled. “Domain conditioning. We published that. No one ships it retail.” “I did.” 86M trades. Public dataset 4 Python scripts. Claude wrote most of it over a weekend. Execution: — 21 min delay — bet size = signal — $900 baseline, $1,600 = ~1.8σ → size up Exit: — mirror source — take ~74% of max — cut if <3% after 18h 31 days: Sharpe 2.67 453 trades 81.7% WR $600 → +$41,985 He set his glass down. “4.7 on this data is a weapon. Most people write essays with it. You built a printer.” Pause. “Rerun your filter every 7 days. Wallet sets rotate.” He stood up. “If anyone asks, we never spoke.” “Of course.” He smiled. “Good answer.”

Discover

23,073 次观看 • 2 个月前

The SEC just killed the $25,000 day trading rule. 25 years. finally over. The Pattern Day Trader rule is officially eliminated. New minimum is $2,000. I asked Claude what this means for retail traders: 🟢 CLAUDE'S ANALYSIS - April 15, 2026 "This is the biggest democratization event in retail trading since commission-free brokerages in 2019." The PDT rule was a wealth gate - not a risk gate. It didn't protect small traders, it excluded them. A trader with $500 can now run the same intraday strategies a $25,000 account ran for 25 years. The edge was never the capital. It was the access. The barrier just dropped from $25,000 to one prompt" the old game: → need $25,000 to day trade → 90-day freeze if you broke the rule → retail locked out for 25 years the new game: → $2,000 minimum → unlimited day trades → any account can run automated strategies Claude can build that strategy for you 30 minutes. zero code. Join for the full Claude Trading guide.
0:24

The SEC just killed the $25,000 day trading rule. 25 years. finally over. The Pattern Day Trader rule is officially eliminated. New minimum is $2,000. I asked Claude what this means for retail traders: 🟢 CLAUDE'S ANALYSIS - April 15, 2026 "This is the biggest democratization event in retail trading since commission-free brokerages in 2019." The PDT rule was a wealth gate - not a risk gate. It didn't protect small traders, it excluded them. A trader with $500 can now run the same intraday strategies a $25,000 account ran for 25 years. The edge was never the capital. It was the access. The barrier just dropped from $25,000 to one prompt" the old game: → need $25,000 to day trade → 90-day freeze if you broke the rule → retail locked out for 25 years the new game: → $2,000 minimum → unlimited day trades → any account can run automated strategies Claude can build that strategy for you 30 minutes. zero code. Join for the full Claude Trading guide.

AlphaCartel

56,178 次观看 • 3 个月前

Everyone's sleeping on MiniMax. Again. They just shipped M3. The first open-weights model to combine frontier coding, 1M context, and native multimodality in one drop. I plugged it into Claude Code this morning. Pasted a design from Dribbble. Watched M3 write production-ready React code in one session. At the agency, I just replaced Opus 4.8 with M3 for 80% of our coding tasks. The output is the same and we are running everything at a fraction of the cost. Open infrastructure is the future.
1:35

Everyone's sleeping on MiniMax. Again. They just shipped M3. The first open-weights model to combine frontier coding, 1M context, and native multimodality in one drop. I plugged it into Claude Code this morning. Pasted a design from Dribbble. Watched M3 write production-ready React code in one session. At the agency, I just replaced Opus 4.8 with M3 for 80% of our coding tasks. The output is the same and we are running everything at a fraction of the cost. Open infrastructure is the future.

Prajwal Tomar

12,904 次观看 • 1 个月前

Gemma 4 31B is way too slow on my MacBook Pro M5 Max with 128GB of unified memory. 42 seconds to generate the first line of code. 21 tokens per second after that. Uses 26GB of memory when loaded. I sat there waiting nearly a minute before it even started writing code. The output? Actually decent. The lava lamp it generated looks good. But 42 seconds to first token is a dealbreaker. Claude Opus 4.7 starts generating in under 2 seconds. GPT 5.5 is instant. Good model. Unusable speed. Local inference on a $5,399 machine still can't match the cloud.
2:37

Gemma 4 31B is way too slow on my MacBook Pro M5 Max with 128GB of unified memory. 42 seconds to generate the first line of code. 21 tokens per second after that. Uses 26GB of memory when loaded. I sat there waiting nearly a minute before it even started writing code. The output? Actually decent. The lava lamp it generated looks good. But 42 seconds to first token is a dealbreaker. Claude Opus 4.7 starts generating in under 2 seconds. GPT 5.5 is instant. Good model. Unusable speed. Local inference on a $5,399 machine still can't match the cloud.

BridgeMind

40,178 次观看 • 1 个月前