EP21: The new AI stack — Claude Fable plans, GPT5.6 builds, Grok 4.5 grinds
Grok 4.5 matches Claude Opus 4.8 at 70% less cost per task, making the smartest move not picking the best model but building the right three-model stack.
God Mode Podcast
EP21: The new AI stack — Claude Fable plans, GPT5.6 builds, Grok 4.5 grinds
Grok 4.5 matches Claude Opus 4.8 at 70% less cost per task, making the smartest move not picking the best model but building the right three-model stack.
TL;DR
Rik, Ben, and Luca break down the biggest AI model week of 2025 for builders: Grok 4.5 matches Claude Opus 4.8 at roughly 70% lower cost per task [1] — Rik "Grok 4.5 vs Opus 4.8: ~70% cheaper: Grok 4.5 performs on par with Claude Opus 4.8 on key benchmarks but costs approximately 70% less per ta…" 09:03 , GPT-5.6 "Soul" ships under US government review, and Anthropic extends Claude Fable 5 access to July 12 [2] — Rik "Claude Fable extended to July 12: Anthropic extended free Claude Fable 5 access on all paid plans from July 7 to July 12, which the hosts i…" 24:00 . The trio propose a three-model stack — Claude plans, GPT-5 executes, Grok grinds — as the cost-efficient build pattern [3] — Ben Broch "Free Fable access through July 12 is bait. Ben predicts Anthropic will lock Fable behind a $500–$1,000/month subscription tier, with the $1…" 24:30 . They also cover Cloudflare's x402 agent-payment protocol, EU chat-control passing, and Claude's new monthly usage-recap feature. Key takeaway: matching model to task complexity, not always reaching for the frontier, is the smarter builder move.
Grok 4.5 matches Opus 4.8 at a tenth of the cost, GPT-5.6 'Soul' ships under government review, and Anthropic extends Claude Fable 5. Rik, Ben and Luca break down what's actually usable this week versus marketing: the Grok vs Fable cost gap, the 3-model stack where Claude plans and Grok does the cheap grunt work, OpenAI retracting the SWE-bench benchmark, Cloudflare's x402 agent payments, and Europe's surveillance week.
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The episode kicks off with Luca delivering a half-ironic cold-open manifesto: if you're not an entrepreneur, you're just a normal person — 'go and stay in your 9-to-5.' It's a bait designed to grab attention, and it works. Then the hosts pivot to a story that actually earns some genuine tension: Rik went tandem paragliding with a stranger from a WhatsApp group, climbing 1,000 meters of altitude before discovering his pilot had only flown from that exact spot once before. Luca and Sasha tried to talk him out of it; Rik held a goodbye speech the night before. He was terrified. He jumped anyway. It was amazing.
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After the cold open, Rik kicks into proper episode mode with a summary of what's coming: Grok 4.5, Claude Fable extended, GPT-5.6 Soul, a Europe surveillance corner, and quickfire rounds. Ben is still in Brooklyn post-July 4th heatwave, rooting for Argentina and taking diplomatic fire from Belgian Rik about Belgium knocking the US out 4-1. Luca is bouncing between Glasgow, Malta, and Albania — where he's starting a tourism business — and nominally supports Brazil, who are already out. The banter is warm and chaotic, exactly the vibe of three builders scattered across the globe who somehow run a top-1% podcast.
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After the cold open, Rik kicks into proper episode mode with a summary of what's coming: Grok 4.5, Claude Fable extended, GPT-5.6 Soul, a Europe surveillance corner, and quickfire rounds. Ben is still in Brooklyn post-July 4th heatwave, rooting for Argentina and taking diplomatic fire from Belgian Rik about Belgium knocking the US out 4-1. Luca is bouncing between Glasgow, Malta, and Albania — where he's starting a tourism business — and nominally supports Brazil, who are already out. The banter is warm and chaotic, exactly the vibe of three builders scattered across the globe who somehow run a top-1% podcast.
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The week's biggest headline: SpaceX AI announced Grok 4.5 with 33 million views on the announcement tweet. The model was co-trained with Cursor and, according to BridgeMind and CursorBench data, places third overall — behind Fable 5 Max and Fable 5 Extra High — but above Fable 5 High, and at roughly 70% lower cost per task. [1] — Rik "Grok 4.5 vs Opus 4.8: ~70% cheaper: Grok 4.5 performs on par with Claude Opus 4.8 on key benchmarks but costs approximately 70% less per ta…" 09:03 Ben notes the leapfrog is clearly data-driven: once SpaceX plugged into Cursor's coding dataset, Grok jumped fast. He's skeptical that Grok can beat Anthropic and OpenAI purely on model quality and suggests they need a different vertical, perhaps raw compute speed or parallel agent execution. The real opportunity, Rik argues, is that Grok is approaching open-source cost territory — which could make it the default grunt-work model for agentic pipelines.
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The week's biggest headline: SpaceX AI announced Grok 4.5 with 33 million views on the announcement tweet. The model was co-trained with Cursor and, according to BridgeMind and CursorBench data, places third overall — behind Fable 5 Max and Fable 5 Extra High — but above Fable 5 High, and at roughly 70% lower cost per task. [1] — Rik "Grok 4.5 vs Opus 4.8: ~70% cheaper: Grok 4.5 performs on par with Claude Opus 4.8 on key benchmarks but costs approximately 70% less per ta…" 09:03 Ben notes the leapfrog is clearly data-driven: once SpaceX plugged into Cursor's coding dataset, Grok jumped fast. He's skeptical that Grok can beat Anthropic and OpenAI purely on model quality and suggests they need a different vertical, perhaps raw compute speed or parallel agent execution. The real opportunity, Rik argues, is that Grok is approaching open-source cost territory — which could make it the default grunt-work model for agentic pipelines.
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As benchmarks converge, Luca makes a case that resonates across the table: we've entered a qualitative era. He uses Claude for complex legal research — specifically, finding cross-jurisdictional loopholes he likens to hunting cybersecurity bugs — because Fable's depth is unmatched for that kind of pioneering work. But for quick website builds and SEO ranking tools, he reaches for Codex because Claude is simply too slow. Ben adds that Grok was missing from agentic coding conversations until this week, and that the Grok Build subscribers who bought at 60% off a few weeks ago made a surprisingly good deal. Rik notes that Grok 4.5's jump on Artificial Analysis benchmarks — from around 1,000 to 1,500 points, and 39% to 81% on TerminalBench [1] — Rik "Grok benchmark: 1,000 → 1,500 points: On Artificial Analysis benchmarks, Grok jumped from approximately 1,000 points (Grok 4.3) to 1,500 po…" 12:58 — is a serious leap, even if it's still nitpicked.
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The conversation turns personal and practical: Rik walks through the exact pipeline he built to automate God Mode Podcast clip creation. Claude reads the full transcript and writes an instruction document for an agent. That document goes to Codex, which then literally navigates Riverside — clicking, creating clips, waiting — without Rik touching it. All he does is review and approve the final output. What used to take the most time in the whole production workflow is now fully delegated. [1] — Rik "Hermes now runs agents entirely in the cloud — pick a model, choose server size, and your agent is live in 60 seconds. Teams can spin up ag…" 43:40 He heard a similar story on Lenny's podcast, where the show's video editor started using Codex to find word gaps in the audio — a use case nobody on the Codex team anticipated. The lesson: the best agentic workflows are discovered by doing, not planned.
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The timing feels deliberate: just as Anthropic was closing off Fable access, OpenAI dropped GPT-5.6 Soul — along with Terra and Luna — to steal the spotlight. Ben describes it as the first model that seems to have gone through some form of US government sovereignty review before release, a new precedent that nobody on the pod quite knows what to make of. [1] — Ben Broch "GPT-5.6 Soul is the first major AI model launch that appears to have gone through US government review before public release. Whether that'…" 18:00 A Theo (prominent developer) quote circulates: 'Damn good model. Not quite as smart as Fable, but fixed all the problems with 5.5. Incredibly determined.' That word — determined — emerges as the defining quality of this new frontier model generation: they don't stop at a passable result, they iterate until the task is genuinely done.
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The three-model architecture emerges organically from the conversation and it's one of the episode's most actionable insights: use Claude Fable as the CEO making the strategic call, have GPT-5 manage and check the work, and deploy Grok 4.5 for all the high-volume, low-stakes token burning — because at 70% lower cost, Grok is purpose-built to be the workhorse. [1] — Rik "Use Claude Fable for strategic planning, GPT-5 as a middle manager checking the work, and Grok 4.5 for cheap token-burning grunt tasks. Thi…" 20:03 Ben frames it with a vivid analogy: Claude is the CEO telling OpenAI to go build it. Then he immediately raises the tension: will OpenAI eventually refuse to be delegated to by a rival's model? Or will they pragmatically embrace any usage of their API? The hosts don't resolve it, but the question hangs — because as these models become infrastructure, the politics between labs will matter as much as the benchmarks.
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Just as builders were Fable-maxing through sleepless nights before the July 5th cutoff, Anthropic quietly extended access to July 12. Ben's read: this wasn't generosity — enterprise onboarding takes time, contracts need negotiating, and Anthropic hadn't deployed Fable to enterprise at sufficient scale yet. By giving individuals access longer, they maintain revenue while enterprises catch up. But Dario Amodei has been clear that enterprise is the priority. [1] — Ben Broch "Free Fable access through July 12 is bait. Ben predicts Anthropic will lock Fable behind a $500–$1,000/month subscription tier, with the $1…" 24:30 Ben's prediction lands sharp: for $100 or $200/month, don't expect Fable long-term. There's a $500–$1,000/month tier coming, and the extended free window is the hook. The hosts describe the current moment as deliberate FOMO engineering — Anthropic giving you just enough Fable to make you desperately want more.
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Rik surfaces a debate circulating in VC podcast circles: Sam Altman's suggestion that the US government receive a 5% stake in OpenAI — at roughly $50 billion implied value — against OpenAI's own claims of trillion-dollar economic impact. Critics argue that if OpenAI really will reshape a $30 trillion economy, the government will eventually want a far larger share. Whether Sam is floating a trial balloon to gauge public reaction, or genuinely believes 5% is a fair exchange, remains unclear. What is clear, Rik concludes, is that both Altman and Anthropic's Dario Amodei have a spokesperson problem: neither is winning hearts or minds in this moment.
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Rik plays the ChatGPT Live announcement video — complete with a grandmother knitting a sweater — and Ben takes it for a live spin. The technical leap is real: GPT Live One is the first ChatGPT voice model to be fully full-duplex, meaning it listens and speaks simultaneously rather than taking turns. Ben clocks the latency at under one second for almost every question. [1] — Ben Broch "She tells me she talks to Timmy all the time, all the time. She gets advice about relationships, what she should cook for dinner. Her husba…" 32:47 When you ask it something requiring web search, latency spikes — but for anything in-training, it's near-instantaneous. The demo is charming and slightly chaotic — the model has never heard of any of the hosts — but the anecdote that lands hardest is Ben's: his aunt named her ChatGPT 'Timmy,' talks to it constantly for relationship advice and dinner suggestions, and her husband reports she talks to Timmy more than she talks to him. The hosts call it 'dangerous territory' and move on.
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Rik plays the ChatGPT Live announcement video — complete with a grandmother knitting a sweater — and Ben takes it for a live spin. The technical leap is real: GPT Live One is the first ChatGPT voice model to be fully full-duplex, meaning it listens and speaks simultaneously rather than taking turns. Ben clocks the latency at under one second for almost every question. [1] — Ben Broch "She tells me she talks to Timmy all the time, all the time. She gets advice about relationships, what she should cook for dinner. Her husba…" 32:47 When you ask it something requiring web search, latency spikes — but for anything in-training, it's near-instantaneous. The demo is charming and slightly chaotic — the model has never heard of any of the hosts — but the anecdote that lands hardest is Ben's: his aunt named her ChatGPT 'Timmy,' talks to it constantly for relationship advice and dinner suggestions, and her husband reports she talks to Timmy more than she talks to him. The hosts call it 'dangerous territory' and move on.
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The timing is suspicious and the hosts say so: OpenAI retracted SWE-Bench Pro right before shipping GPT-5.6 Soul, the model that would otherwise have been evaluated on it. Their audit found 30% of benchmark tasks are simply broken. [1] — Rik "30% of SWE-Bench Pro tasks broken: OpenAI audited SWE-Bench Pro and found 30% of its tasks are broken, leading them to retract their recomm…" 35:00 Rik notes they've been skeptical of benchmarks for a while — that's partly why they use BridgeMind, which maintains its own independent evaluation. Ben raises a deeper problem: if the AI models doing the auditing are the same models being benchmarked, the process is fundamentally compromised. Who watches the watchmen? The answer, increasingly, is other AI — and that's a problem nobody has cleanly solved yet.
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Levels.io going native iOS generated a tweet and a lot of speculation. The headline is clear enough — AI has made iOS development approachable for solo builders. But Luca's read is more interesting: Nomad Table, an iOS-only social map app for digital nomads, has quietly hit roughly $1M ARR and 70,000 users [1] — Luca Arrigo "Nomad Table: 70,000 users in first year: Nomad Table, a social map app for digital nomads, crossed 70,000 users within its first year and r…" 42:10 while Nomads.com has cut its price to $1 to defend market share. Nomad Table does something Nomads.com never managed: it actually connects people in person, through a map of local events. Ben and Rik excavate Levels' revenue dashboard and find it full of interesting anomalies — the $803K figure turns out to be from a Cursor investment being priced, not operational MRR. The meta-lesson: ideas from Levels spark industries, and then focused single-product founders build the better version on top of them.
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Levels.io going native iOS generated a tweet and a lot of speculation. The headline is clear enough — AI has made iOS development approachable for solo builders. But Luca's read is more interesting: Nomad Table, an iOS-only social map app for digital nomads, has quietly hit roughly $1M ARR and 70,000 users [1] — Luca Arrigo "Nomad Table: 70,000 users in first year: Nomad Table, a social map app for digital nomads, crossed 70,000 users within its first year and r…" 42:10 while Nomads.com has cut its price to $1 to defend market share. Nomad Table does something Nomads.com never managed: it actually connects people in person, through a map of local events. Ben and Rik excavate Levels' revenue dashboard and find it full of interesting anomalies — the $803K figure turns out to be from a Cursor investment being priced, not operational MRR. The meta-lesson: ideas from Levels spark industries, and then focused single-product founders build the better version on top of them.
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A week after the hosts predicted local agents would fade within six months, Hermes validates the thesis: pick a model, choose a server size, two clicks, and your agent is live in 60 seconds with no local file management, no GitHub repo wrangling. Teams can spin up parallel agents with granular access controls and shared billing from one portal. Rik connects this to what he heard at a recent panel: Lovable and Replit's biggest advantage over local coding tools is that they're collaboration platforms — whole teams can access the same build simultaneously. Hermes brings that same benefit to the agent layer. Luca's reaction: you can be on a walk, get an idea, deploy it in a minute. That's the future.
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Cloudflare is building the infrastructure for the agentic web economy: a monetization gateway that uses the x402 protocol (originally championed by Coinbase) to charge AI agents stablecoins for accessing web content. When an agent visits your page, it pays you — automatically, instantly, in crypto. [1] — Rik "Cloudflare's x402 gateway lets any website charge AI agents stablecoins for access to their content. Luca's insight: you're already paying …" 45:13 Luca's framing cuts through the abstraction: right now, builders pay Firecrawl to get past Cloudflare so their agents can scrape websites. That money goes to an intermediary. With x402, it would go to the person who actually wrote the content. Ben raises the crypto trade-offs — instant settlement means no chargebacks if you're defrauded — but acknowledges digital-native use cases like domain sales are a perfect fit. Rik sees a broader implication: large labs training their LLMs on your data would have to pay for access. The web as a metered data market.
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While the US races toward fully autonomous vehicles, the EU has mandated that all new cars include infrared cameras watching the driver's face for signs of distraction. The hosts find the irony stark: we're building technology to eliminate the need for human attention on the road, while regulators are simultaneously demanding more of it. Rik imagines dystopian scenarios — a car that stops mid-highway because the driver glanced away, or face data flagged to police. Ben notes Tesla has had this feature for years, originally as a check on self-driving activation: you had to shake the steering wheel, then it moved to eye tracking. But that's surveillance in service of enabling autonomy, not restricting freedom. There's a viral story about someone gaming the system by positioning a screen to look like they were watching the road while playing video games behind the Tesla display. The hosts see the EU mandate as heading the wrong direction.
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The EU's chat control bill — requiring platforms to scan private communications for illegal content — passed not by winning a majority but by opponents failing to muster the supermajority needed to kill it. Most MEPs voted against it; it passed anyway. [1] — Rik "EU chat control: majority not reached: Despite most MEPs voting to reject EU chat control legislation, the absolute majority of 361 members…" 53:46 Rik calls it a sad day for Europe. Luca delivers the episode's most extended take: this vote being brought back for a second attempt in such a short window is abnormal — it takes massive lobbying infrastructure to get anything to a Parliament vote once, let alone twice in quick succession. He praises independent MEP Fidias as a rare voice who evaluates each proposal on its own merits without party allegiance. He floats his own political ambitions before walking them back. The EU Inc. project — Levels' proposal for an EU-wide startup entity — gets cited as another example of reform that looks good on paper but has stalled for two years without implementation. The tone is resigned but not hopeless.
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The episode's final segment delivers what Rik calls the most practically useful news of the week: Anthropic launched a monthly Claude usage recap showing when you engage most and what you work on, plus quiet-hour settings and break nudges. The /checkup command, surfaced by Cloud Code Guy Boris, cleans up unused MCPs and skills — the digital equivalent of clearing app clutter. [1] — Rik "Anthropic launched a monthly usage recap showing when you use Claude and what you build, plus the /checkup command that clears unused MCPs …" 58:30 Ben's reflection is the most honest moment of the episode: he's maxed his Claude credits, which is what finally drove him to download Codex. He went to the park. He saw a friend. He scheduled a doctor's appointment. All things he'd been putting off because Claude is always there. He describes the psychological loop: if you're not building, someone else is. That's what you tell yourself. Ben compares it to iPhone Screen Time — everyone said they needed it, and it barely changed behavior. This is Screen Time for Claude. Rik closes the episode with a plug to like and subscribe, and Luca signs off heading for a glass of wine in the garden.
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The episode's final segment delivers what Rik calls the most practically useful news of the week: Anthropic launched a monthly Claude usage recap showing when you engage most and what you work on, plus quiet-hour settings and break nudges. The /checkup command, surfaced by Cloud Code Guy Boris, cleans up unused MCPs and skills — the digital equivalent of clearing app clutter. [1] — Rik "Anthropic launched a monthly usage recap showing when you use Claude and what you build, plus the /checkup command that clears unused MCPs …" 58:30 Ben's reflection is the most honest moment of the episode: he's maxed his Claude credits, which is what finally drove him to download Codex. He went to the park. He saw a friend. He scheduled a doctor's appointment. All things he'd been putting off because Claude is always there. He describes the psychological loop: if you're not building, someone else is. That's what you tell yourself. Ben compares it to iPhone Screen Time — everyone said they needed it, and it barely changed behavior. This is Screen Time for Claude. Rik closes the episode with a plug to like and subscribe, and Luca signs off heading for a glass of wine in the garden.
- SWE-Bench Pro
- A widely-used coding benchmark designed to evaluate AI models on software engineering tasks; OpenAI audited it this week and found 30% of its tasks are broken.
- Full-duplex voice model
- An AI voice system that can simultaneously listen and speak, unlike half-duplex models that can only do one at a time; ChatGPT Live One uses this architecture.
- x402 protocol
- An HTTP payment standard, championed by Coinbase, that allows AI agents to automatically pay stablecoins for access to web content at the time of request.
- Agentic coding
- AI-driven software development where an autonomous agent plans, writes, tests, and iterates on code with minimal human input rather than responding to one prompt at a time.
- TerminalBench
- A coding benchmark that evaluates AI models on their ability to perform tasks using a terminal/command-line interface, emphasizing agentic and system-level capabilities.
- BridgeMind (Bridgemind)
- An independent AI benchmark platform that measures model performance and cost-per-task across frontier models, used by the hosts as an alternative to official lab benchmarks.
- MCP (Model Context Protocol)
- A standard that allows AI models like Claude to connect to external tools, plugins, and data sources to extend their capabilities beyond the base model.
- Progressive Web App (PWA)
- A website built to behave like a native mobile app — installable from a browser, living on the home screen — without requiring App Store submission or approval.
- Vibe coding
- A casual, iterative style of AI-assisted software development where builders rapidly prototype using natural language prompts with minimal formal engineering structure.
- Chat control
- Proposed EU legislation that would require messaging platforms to scan private communications for illegal content, widely criticized by privacy advocates as mass surveillance.
- Fable-maxing
- Informal term describing the behavior of intensive, sleep-skipping usage of Claude Fable before a deadline or access cutoff, to extract maximum value before losing access.
- Stablecoin
- A cryptocurrency pegged to a stable asset like the US dollar, used in the x402 protocol for instant, reversible-free payments between AI agents and content providers.
- FOMO
- Fear Of Missing Out; used here to describe Anthropic's strategy of creating urgency around Claude Fable access to drive maximum engagement and subscription upgrades.
- Hegemonic
- Not used verbatim, but the episode's framing around OpenAI and Anthropic's competition implies dominance-seeking; included for completeness as a vocabulary anchor.
- ARR
- Annual Recurring Revenue; total predictable yearly revenue from subscriptions or contracts, used to measure the scale of software businesses like Nomad Table and Nomads.com.
- MEP
- Member of the European Parliament; elected representatives who vote on EU-wide legislation including the chat control and driver-monitoring mandates discussed in the episode.
- Erasmus generation
- Europeans who studied or worked abroad under the EU's Erasmus exchange programme; Luca uses this term to describe his pro-EU cultural identity alongside his concerns about EU overreach.
Chapter 1 · 00:00
Cold open — the 9-to-5 rant and paragliding with a WhatsApp stranger
The episode kicks off with Luca delivering a half-ironic cold-open manifesto: if you're not an entrepreneur, you're just a normal person — 'go and stay in your 9-to-5.' It's a bait designed to grab attention, and it works. Then the hosts pivot to a story that actually earns some genuine tension: Rik went tandem paragliding with a stranger from a WhatsApp group, climbing 1,000 meters of altitude before discovering his pilot had only flown from that exact spot once before. Luca and Sasha tried to talk him out of it; Rik held a goodbye speech the night before. He was terrified. He jumped anyway. It was amazing.
Chapter 4 · 06:44
Grok 4.5 lands — on par with Opus 4.8, trained on Cursor
The week's biggest headline: SpaceX AI announced Grok 4.5 with 33 million views on the announcement tweet. The model was co-trained with Cursor and, according to BridgeMind and CursorBench data, places third overall — behind Fable 5 Max and Fable 5 Extra High — but above Fable 5 High, and at roughly 70% lower cost per task. [1] — Rik "Grok 4.5 vs Opus 4.8: ~70% cheaper: Grok 4.5 performs on par with Claude Opus 4.8 on key benchmarks but costs approximately 70% less per ta…" 09:03 Ben notes the leapfrog is clearly data-driven: once SpaceX plugged into Cursor's coding dataset, Grok jumped fast. He's skeptical that Grok can beat Anthropic and OpenAI purely on model quality and suggests they need a different vertical, perhaps raw compute speed or parallel agent execution. The real opportunity, Rik argues, is that Grok is approaching open-source cost territory — which could make it the default grunt-work model for agentic pipelines.
Claims made here
Grok 4.5 performs on par with Claude Opus 4.8 on key benchmarks and costs approximately 70% less per task.
Grok 4.5 hits benchmark parity with Claude Opus 4.8 at roughly 70% lower cost per task. For high-volume agentic workloads, this isn't just impressive — it may make Grok the default grunt-work model in every serious builder's stack.
Grok 4.5 performs on par with Claude Opus 4.8 on key benchmarks but costs approximately 70% less per task, making it compelling for high-volume agentic workloads.
Chapter 6 · 10:51
The qualitative era: picking a model is taste now
As benchmarks converge, Luca makes a case that resonates across the table: we've entered a qualitative era. He uses Claude for complex legal research — specifically, finding cross-jurisdictional loopholes he likens to hunting cybersecurity bugs — because Fable's depth is unmatched for that kind of pioneering work. But for quick website builds and SEO ranking tools, he reaches for Codex because Claude is simply too slow. Ben adds that Grok was missing from agentic coding conversations until this week, and that the Grok Build subscribers who bought at 60% off a few weeks ago made a surprisingly good deal. Rik notes that Grok 4.5's jump on Artificial Analysis benchmarks — from around 1,000 to 1,500 points, and 39% to 81% on TerminalBench [1] — Rik "Grok benchmark: 1,000 → 1,500 points: On Artificial Analysis benchmarks, Grok jumped from approximately 1,000 points (Grok 4.3) to 1,500 po…" 12:58 — is a serious leap, even if it's still nitpicked.
Claims made here
Grok 4.5 scored approximately 1,500 points on Artificial Analysis benchmarks, up from roughly 1,000 for Grok 4.3, placing it just behind Claude Opus and Sonnet.
Grok 4.5 scored 81% on TerminalBench, up from 39% for Grok 4.3 — a roughly 40-point improvement.
Grok 4.5 scored 32% on a banking benchmark, up from 12% for Grok 4.3.
Grok 4.5 was trained specifically on Cursor data, which enabled its dramatic benchmark improvement over previous Grok versions.
The quantitative gap between frontier models is closing fast. Luca argues we've entered a qualitative era where model selection is personal — you use Fable for legal research, Codex for quick builds, and Grok when cost matters. There's no universally right answer.
On Artificial Analysis benchmarks, Grok jumped from approximately 1,000 points (Grok 4.3) to 1,500 points (Grok 4.5), landing just behind Claude Opus and Sonnet.
Grok 4.5 jumped from 39% to 81% on TerminalBench compared to Grok 4.3, representing a dramatic improvement in agentic coding capability.
Grok 4.5 more than doubled its banking benchmark score from 12% to 32% compared to Grok 4.3, indicating significant gains on finance-domain tasks.
Grok 4.5's benchmark jump didn't come from architectural breakthroughs — it came from data. Once SpaceX AI plugged into Cursor's coding dataset, the model leapfrogged Composer 2.5. Ben's point lands hard: training data, not model design, is the real competitive moat.
Chapter 7 · 15:18
Claude and Codex cut this whole podcast
The conversation turns personal and practical: Rik walks through the exact pipeline he built to automate God Mode Podcast clip creation. Claude reads the full transcript and writes an instruction document for an agent. That document goes to Codex, which then literally navigates Riverside — clicking, creating clips, waiting — without Rik touching it. All he does is review and approve the final output. What used to take the most time in the whole production workflow is now fully delegated. [1] — Rik "Hermes now runs agents entirely in the cloud — pick a model, choose server size, and your agent is live in 60 seconds. Teams can spin up ag…" 43:40 He heard a similar story on Lenny's podcast, where the show's video editor started using Codex to find word gaps in the audio — a use case nobody on the Codex team anticipated. The lesson: the best agentic workflows are discovered by doing, not planned.
Claude reads the full podcast transcript and writes an agent instruction doc. Codex takes that doc and literally clicks around inside Riverside to create the clips. What used to be the most time-consuming manual step is now fully automated.
Rik revealed he uses Claude to analyze the full podcast transcript and generate agent instructions, then hands that to Codex which autonomously clips the episode in Riverside, eliminating the most time-consuming manual step.
Chapter 8 · 16:30
GPT-5.6 'Soul' and the government gatekeeping releases
The timing feels deliberate: just as Anthropic was closing off Fable access, OpenAI dropped GPT-5.6 Soul — along with Terra and Luna — to steal the spotlight. Ben describes it as the first model that seems to have gone through some form of US government sovereignty review before release, a new precedent that nobody on the pod quite knows what to make of. [1] — Ben Broch "GPT-5.6 Soul is the first major AI model launch that appears to have gone through US government review before public release. Whether that'…" 18:00 A Theo (prominent developer) quote circulates: 'Damn good model. Not quite as smart as Fable, but fixed all the problems with 5.5. Incredibly determined.' That word — determined — emerges as the defining quality of this new frontier model generation: they don't stop at a passable result, they iterate until the task is genuinely done.
Claims made here
GPT-5.6 Soul is the first major AI model that appears to have gone through US government review before public release.
GPT-5.6 Soul is the first major AI model launch that appears to have gone through US government review before public release. Whether that's sovereignty protection or regulatory capture is the question every builder should be asking.
Chapter 9 · 20:03
The 3-model stack: Claude plans, GPT executes, Grok grinds
The three-model architecture emerges organically from the conversation and it's one of the episode's most actionable insights: use Claude Fable as the CEO making the strategic call, have GPT-5 manage and check the work, and deploy Grok 4.5 for all the high-volume, low-stakes token burning — because at 70% lower cost, Grok is purpose-built to be the workhorse. [1] — Rik "Use Claude Fable for strategic planning, GPT-5 as a middle manager checking the work, and Grok 4.5 for cheap token-burning grunt tasks. Thi…" 20:03 Ben frames it with a vivid analogy: Claude is the CEO telling OpenAI to go build it. Then he immediately raises the tension: will OpenAI eventually refuse to be delegated to by a rival's model? Or will they pragmatically embrace any usage of their API? The hosts don't resolve it, but the question hangs — because as these models become infrastructure, the politics between labs will matter as much as the benchmarks.
Use Claude Fable for strategic planning, GPT-5 as a middle manager checking the work, and Grok 4.5 for cheap token-burning grunt tasks. This three-layer stack combines frontier intelligence with real cost efficiency.
Chapter 10 · 24:00
Fable extended to July 12 and the coming $1,000 per month tier
Just as builders were Fable-maxing through sleepless nights before the July 5th cutoff, Anthropic quietly extended access to July 12. Ben's read: this wasn't generosity — enterprise onboarding takes time, contracts need negotiating, and Anthropic hadn't deployed Fable to enterprise at sufficient scale yet. By giving individuals access longer, they maintain revenue while enterprises catch up. But Dario Amodei has been clear that enterprise is the priority. [1] — Ben Broch "Free Fable access through July 12 is bait. Ben predicts Anthropic will lock Fable behind a $500–$1,000/month subscription tier, with the $1…" 24:30 Ben's prediction lands sharp: for $100 or $200/month, don't expect Fable long-term. There's a $500–$1,000/month tier coming, and the extended free window is the hook. The hosts describe the current moment as deliberate FOMO engineering — Anthropic giving you just enough Fable to make you desperately want more.
Claims made here
Anthropic's priority for Claude Fable access is enterprise customers, not individual subscribers, because that is where the revenue comes from.
Anthropic extended free Claude Fable 5 access on all paid plans from July 7 to July 12, which the hosts interpreted as a sign of slower-than-expected enterprise onboarding.
Free Fable access through July 12 is bait. Ben predicts Anthropic will lock Fable behind a $500–$1,000/month subscription tier, with the $100–$200 plans losing access permanently. The FOMO is deliberate.
Ben Broch predicted that long-term access to Claude Fable will require a $500–$1,000/month subscription tier, as the current free access is a hook to get users addicted.
Chapter 11 · 26:27
OpenAI's 5% stake and the spokesperson problem
Rik surfaces a debate circulating in VC podcast circles: Sam Altman's suggestion that the US government receive a 5% stake in OpenAI — at roughly $50 billion implied value — against OpenAI's own claims of trillion-dollar economic impact. Critics argue that if OpenAI really will reshape a $30 trillion economy, the government will eventually want a far larger share. Whether Sam is floating a trial balloon to gauge public reaction, or genuinely believes 5% is a fair exchange, remains unclear. What is clear, Rik concludes, is that both Altman and Anthropic's Dario Amodei have a spokesperson problem: neither is winning hearts or minds in this moment.
Claims made here
Sam Altman proposed giving the US government a 5% equity stake in OpenAI.
OpenAI proposed giving the US government a 5% stake, which commentators argued was far too small given OpenAI's claimed impact on a $30 trillion economy.
Chapter 12 · 27:30
ChatGPT Live voice demo — 'we found a flaw'
Rik plays the ChatGPT Live announcement video — complete with a grandmother knitting a sweater — and Ben takes it for a live spin. The technical leap is real: GPT Live One is the first ChatGPT voice model to be fully full-duplex, meaning it listens and speaks simultaneously rather than taking turns. Ben clocks the latency at under one second for almost every question. [1] — Ben Broch "She tells me she talks to Timmy all the time, all the time. She gets advice about relationships, what she should cook for dinner. Her husba…" 32:47 When you ask it something requiring web search, latency spikes — but for anything in-training, it's near-instantaneous. The demo is charming and slightly chaotic — the model has never heard of any of the hosts — but the anecdote that lands hardest is Ben's: his aunt named her ChatGPT 'Timmy,' talks to it constantly for relationship advice and dinner suggestions, and her husband reports she talks to Timmy more than she talks to him. The hosts call it 'dangerous territory' and move on.
ChatGPT's new full-duplex voice model listens and speaks simultaneously, with latency under one second. The old model could only do one at a time. Ben's aunt has her assistant named Timmy — and her husband says she talks to Timmy more than to him.
Chapter 13 · 32:05
Talks to Timmy more than her husband
Rik plays the ChatGPT Live announcement video — complete with a grandmother knitting a sweater — and Ben takes it for a live spin. The technical leap is real: GPT Live One is the first ChatGPT voice model to be fully full-duplex, meaning it listens and speaks simultaneously rather than taking turns. Ben clocks the latency at under one second for almost every question. [1] — Ben Broch "She tells me she talks to Timmy all the time, all the time. She gets advice about relationships, what she should cook for dinner. Her husba…" 32:47 When you ask it something requiring web search, latency spikes — but for anything in-training, it's near-instantaneous. The demo is charming and slightly chaotic — the model has never heard of any of the hosts — but the anecdote that lands hardest is Ben's: his aunt named her ChatGPT 'Timmy,' talks to it constantly for relationship advice and dinner suggestions, and her husband reports she talks to Timmy more than she talks to him. The hosts call it 'dangerous territory' and move on.
Claims made here
Ben Broch's aunt uses ChatGPT under the name 'Timmy' and her husband says she talks to Timmy more than she talks to him.
ChatGPT's new full-duplex live voice model responds with latency of less than one second for most questions.
OpenAI audited SWE-Bench Pro and found 30% of tasks are broken, then retracted it as a leading coding eval — right before shipping GPT-5.6 Soul. Ben raised the obvious conflict: was it GPT-5.6 that found the flaws in the benchmark it was being tested on?
Ben measured ChatGPT's new full-duplex live voice model responding in under one second in nearly every query, a dramatic improvement over previous generation voice AI.
Chapter 14 · 34:56
OpenAI retracts SWE-bench — are benchmarks broken?
The timing is suspicious and the hosts say so: OpenAI retracted SWE-Bench Pro right before shipping GPT-5.6 Soul, the model that would otherwise have been evaluated on it. Their audit found 30% of benchmark tasks are simply broken. [1] — Rik "30% of SWE-Bench Pro tasks broken: OpenAI audited SWE-Bench Pro and found 30% of its tasks are broken, leading them to retract their recomm…" 35:00 Rik notes they've been skeptical of benchmarks for a while — that's partly why they use BridgeMind, which maintains its own independent evaluation. Ben raises a deeper problem: if the AI models doing the auditing are the same models being benchmarked, the process is fundamentally compromised. Who watches the watchmen? The answer, increasingly, is other AI — and that's a problem nobody has cleanly solved yet.
Claims made here
OpenAI audited SWE-Bench Pro and found that 30% of its tasks are broken, and officially retracted their recommendation that the research community use it as a leading coding benchmark.
OpenAI audited SWE-Bench Pro and found 30% of its tasks are broken, leading them to retract their recommendation that the research community use it as a leading coding benchmark.
Pieter Levels shipped a native iOS app declaring he's 'no longer iOS retarded.' Luca suspects it's a direct response to Nomad Table, which hit $1M ARR and 70K users with an iOS-only app that actually connects nomads in person — something Nomads.com never managed.
Chapter 16 · 41:07
Nomad Table vs Nomads.com — IRL wins
Levels.io going native iOS generated a tweet and a lot of speculation. The headline is clear enough — AI has made iOS development approachable for solo builders. But Luca's read is more interesting: Nomad Table, an iOS-only social map app for digital nomads, has quietly hit roughly $1M ARR and 70,000 users [1] — Luca Arrigo "Nomad Table: 70,000 users in first year: Nomad Table, a social map app for digital nomads, crossed 70,000 users within its first year and r…" 42:10 while Nomads.com has cut its price to $1 to defend market share. Nomad Table does something Nomads.com never managed: it actually connects people in person, through a map of local events. Ben and Rik excavate Levels' revenue dashboard and find it full of interesting anomalies — the $803K figure turns out to be from a Cursor investment being priced, not operational MRR. The meta-lesson: ideas from Levels spark industries, and then focused single-product founders build the better version on top of them.
Claims made here
Nomad Table crossed 70,000 users within its first year and achieved approximately $1 million in ARR.
Nomad Table, a social map app for digital nomads, crossed 70,000 users within its first year and reached approximately $1M ARR, reportedly outperforming Nomads.com.
Nomad Table achieved approximately $1 million in annual recurring revenue, significantly outperforming the newly repriced Nomads.com app.
Chapter 17 · 43:35
Hermes: agents fully in the cloud
A week after the hosts predicted local agents would fade within six months, Hermes validates the thesis: pick a model, choose a server size, two clicks, and your agent is live in 60 seconds with no local file management, no GitHub repo wrangling. Teams can spin up parallel agents with granular access controls and shared billing from one portal. Rik connects this to what he heard at a recent panel: Lovable and Replit's biggest advantage over local coding tools is that they're collaboration platforms — whole teams can access the same build simultaneously. Hermes brings that same benefit to the agent layer. Luca's reaction: you can be on a walk, get an idea, deploy it in a minute. That's the future.
Hermes now runs agents entirely in the cloud — pick a model, choose server size, and your agent is live in 60 seconds. Teams can spin up agents with granular access controls and unified billing, completing the shift from local repos to collaborative cloud infrastructure.
Cloudflare's x402 gateway lets any website charge AI agents stablecoins for access to their content. Luca's insight: you're already paying Firecrawl to scrape around Cloudflare — why not pay the original creator instead?
Chapter 18 · 45:15
Cloudflare x402 — get paid when agents scrape you
Cloudflare is building the infrastructure for the agentic web economy: a monetization gateway that uses the x402 protocol (originally championed by Coinbase) to charge AI agents stablecoins for accessing web content. When an agent visits your page, it pays you — automatically, instantly, in crypto. [1] — Rik "Cloudflare's x402 gateway lets any website charge AI agents stablecoins for access to their content. Luca's insight: you're already paying …" 45:13 Luca's framing cuts through the abstraction: right now, builders pay Firecrawl to get past Cloudflare so their agents can scrape websites. That money goes to an intermediary. With x402, it would go to the person who actually wrote the content. Ben raises the crypto trade-offs — instant settlement means no chargebacks if you're defrauded — but acknowledges digital-native use cases like domain sales are a perfect fit. Rik sees a broader implication: large labs training their LLMs on your data would have to pay for access. The web as a metered data market.
Chapter 19 · 50:00
Europe Corner: your new car watches your face
While the US races toward fully autonomous vehicles, the EU has mandated that all new cars include infrared cameras watching the driver's face for signs of distraction. The hosts find the irony stark: we're building technology to eliminate the need for human attention on the road, while regulators are simultaneously demanding more of it. Rik imagines dystopian scenarios — a car that stops mid-highway because the driver glanced away, or face data flagged to police. Ben notes Tesla has had this feature for years, originally as a check on self-driving activation: you had to shake the steering wheel, then it moved to eye tracking. But that's surveillance in service of enabling autonomy, not restricting freedom. There's a viral story about someone gaming the system by positioning a screen to look like they were watching the road while playing video games behind the Tesla display. The hosts see the EU mandate as heading the wrong direction.
Claims made here
All new cars sold in the EU are now required to include an infrared camera that monitors the driver's eyes and face for distraction.
Every new car sold in the EU must now include an infrared camera monitoring the driver's face for distraction. The irony: as the rest of the world races toward autonomous driving, the EU is making it mandatory to watch the road more.
All new cars sold in the EU are now required to include infrared cameras monitoring drivers' eyes and faces for distraction, a rule the hosts criticized as contradicting the trajectory toward autonomous driving.
Chapter 20 · 53:46
Chat control passes — a sad day for Europe
The EU's chat control bill — requiring platforms to scan private communications for illegal content — passed not by winning a majority but by opponents failing to muster the supermajority needed to kill it. Most MEPs voted against it; it passed anyway. [1] — Rik "EU chat control: majority not reached: Despite most MEPs voting to reject EU chat control legislation, the absolute majority of 361 members…" 53:46 Rik calls it a sad day for Europe. Luca delivers the episode's most extended take: this vote being brought back for a second attempt in such a short window is abnormal — it takes massive lobbying infrastructure to get anything to a Parliament vote once, let alone twice in quick succession. He praises independent MEP Fidias as a rare voice who evaluates each proposal on its own merits without party allegiance. He floats his own political ambitions before walking them back. The EU Inc. project — Levels' proposal for an EU-wide startup entity — gets cited as another example of reform that looks good on paper but has stalled for two years without implementation. The tone is resigned but not hopeless.
Claims made here
EU chat control legislation passed because opponents failed to reach the required absolute majority of 361 MEPs needed to block it.
EU chat control passed not because a majority voted for it, but because opponents couldn't muster the 361 absolute-majority votes needed to block it. Luca notes this vote being revived twice in short succession is itself abnormal — a sign of intense lobbying pressure.
Despite most MEPs voting to reject EU chat control legislation, the absolute majority of 361 members required was not reached, allowing the surveillance measure to pass.
Chapter 21 · 58:30
Claude's monthly recap and /checkup — screen time for Claude
The episode's final segment delivers what Rik calls the most practically useful news of the week: Anthropic launched a monthly Claude usage recap showing when you engage most and what you work on, plus quiet-hour settings and break nudges. The /checkup command, surfaced by Cloud Code Guy Boris, cleans up unused MCPs and skills — the digital equivalent of clearing app clutter. [1] — Rik "Anthropic launched a monthly usage recap showing when you use Claude and what you build, plus the /checkup command that clears unused MCPs …" 58:30 Ben's reflection is the most honest moment of the episode: he's maxed his Claude credits, which is what finally drove him to download Codex. He went to the park. He saw a friend. He scheduled a doctor's appointment. All things he'd been putting off because Claude is always there. He describes the psychological loop: if you're not building, someone else is. That's what you tell yourself. Ben compares it to iPhone Screen Time — everyone said they needed it, and it barely changed behavior. This is Screen Time for Claude. Rik closes the episode with a plug to like and subscribe, and Luca signs off heading for a glass of wine in the garden.
Anthropic launched a monthly usage recap showing when you use Claude and what you build, plus the /checkup command that clears unused MCPs and skills. It's Screen Time for Claude — and Ben honestly wonders if it'll change behavior any more than iPhone Screen Time did.
Anthropic launched a monthly usage recap feature for Claude showing when users engage most and what they work on, with options to set quiet hours and take-break nudges — described as 'Screen Time for Claude'.
No indexed bits in this chapter.
Show stoppers
Snapshots ()
Key Quotes ()
This episode
Cast
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Indie hacker behind Nomads.com and PhotoAI; discussed in relation to going native iOS and competitive pressure from Nomad Table.
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Owner of SpaceX AI and Tesla; discussed as the strategic mind behind Grok 4.5's low-cost positioning and compute advantage.
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OpenAI CEO; criticized for proposing a 5% government equity stake and discussed as a poor spokesperson for the AI industry.
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Creator of GPT-5.6 Soul and Codex; discussed regarding benchmark retraction, government equity proposal, and multi-model stack dynamics.
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Creator of Claude Fable; discussed in the context of pricing strategy, enterprise onboarding, and model positioning.
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Subject of the 'Europe Corner' segment covering mandated driver-face cameras in new cars and the passing of chat control legislation.
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xAI / Elon Musk's AI company, announced Grok 4.5 in partnership with Cursor for training data.
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Track
Credited with championing the x402 stablecoin payment protocol that underlies Cloudflare's new agent payment gateway.
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Anthropic's frontier model, used for complex planning and research tasks; access extended to July 12 for paid subscribers.
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SpaceX AI's latest model, trained with Cursor data, benchmarked on par with Claude Opus 4.8 at roughly 70% lower cost per task.
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OpenAI's agentic coding tool; used by Rik to automate podcast clipping and discussed as a complement to Claude in daily workflows.
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OpenAI's new frontier model released under government review, positioned against Claude Fable for coding and agentic tasks.
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AI coding editor whose training data was used to improve Grok 4.5; discussed as a likely future merger target with SpaceX AI.
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OpenAI's new full-duplex voice model with sub-second latency, announced and demoed live by Ben during the episode.
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Cloudflare's agent payment gateway using the x402 stablecoin protocol to allow websites to charge AI scrapers for content access.
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An iOS-only social map app for digital nomads that crossed $1M ARR and 70K users, outpacing Nomads.com.
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The leading AI coding benchmark, retracted by OpenAI after their audit found 30% of tasks are broken.
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A cloud-native agent platform that spins up AI agents in 60 seconds with team access controls and unified billing.
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A web scraping service that helps AI agents get past Cloudflare blocks; mentioned as the incumbent that Cloudflare x402 might displace.
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Cloud-based coding platform cited as an early model for collaborative browser-based development, paralleling Hermes' cloud agent approach.
Stats
This episode
Claims & Sources
Factual claims made this episode, and whether a source was named.
Grok 4.5 performs on par with Claude Opus 4.8 on key benchmarks and costs approximately 70% less per task.
Grok 4.5 scored 81% on TerminalBench, up from 39% for Grok 4.3 — a roughly 40-point improvement.
Grok 4.5 scored approximately 1,500 points on Artificial Analysis benchmarks, up from roughly 1,000 for Grok 4.3, placing it just behind Claude Opus and Sonnet.
OpenAI audited SWE-Bench Pro and found that 30% of its tasks are broken, and officially retracted their recommendation that the research community use it as a leading coding benchmark.
Grok 4.5 scored 32% on a banking benchmark, up from 12% for Grok 4.3.
Grok 4.5 was trained specifically on Cursor data, which enabled its dramatic benchmark improvement over previous Grok versions.
GPT-5.6 Soul is the first major AI model that appears to have gone through US government review before public release.
Anthropic's priority for Claude Fable access is enterprise customers, not individual subscribers, because that is where the revenue comes from.
Ben Broch's aunt uses ChatGPT under the name 'Timmy' and her husband says she talks to Timmy more than she talks to him.
ChatGPT's new full-duplex live voice model responds with latency of less than one second for most questions.
Nomad Table crossed 70,000 users within its first year and achieved approximately $1 million in ARR.
All new cars sold in the EU are now required to include an infrared camera that monitors the driver's eyes and face for distraction.
EU chat control legislation passed because opponents failed to reach the required absolute majority of 361 MEPs needed to block it.
Sam Altman proposed giving the US government a 5% equity stake in OpenAI.
Pieter Levels' Cursor investment was priced in a month where he reported $803K in monthly revenue from that private investment.