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Sam Altman’s Attack, Amazon vs. Starlink, and What Opus 4.7 Actually Means | #248
~161 min
Episode Brief·YouTube

Sam Altman’s Attack, Amazon vs. Starlink, and What Opus 4.7 Actually Means | #248

Peter Diamandis
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TL;DR

The four things you'd lose by not watching

4 items

TL;DR

The four things you'd lose by not watching

4 items
1

Anthropic released Opus 4.7, a solid point release that removes traditional hyperparameter knobs like temperature, forcing users to rely entirely on natural language prompts; the model shows better agentic and coding performance but feels underwhelming next to the expected mythos.

2

Stanford's 2026 AI Index reveals AI now hits 97% on software engineering benchmarks, 53% GenAI adoption in 3 years, yet only 23% of the public is optimistic, model transparency is dropping, and documented AI harms are rising, setting the stage for mounting backlash.

3

Amazon acquired Globalstar for $1.57B to secure global spectrum, partnering with Apple to deliver direct-to-phone satellite connectivity, challenging Starlink; SpaceX counters with V3 satellites promising 1 TB/s downlink and 40,000 planned launches, accelerating the space-based connectivity race.

4

Youth employment in exposed fields (software devs 22-25) dropped 20% since 2024 as companies freeze hiring; Sam Altman’s home was firebombed by a ‘pause AI’ follower, crystallizing the combination of economic fear and AI existential angst that is driving social unrest.

Protocols

Concrete recipes — what, when, how much, and why

7 items

Maximize Geographic Mobility to High-Density AI Hubs

WhatMove to cities with high concentration of AI talent and entrepreneurial culture, like San Francisco or Boston, to increase opportunities and resilience to failure.
WhenNow, especially if you are early-career or aiming to start an AI company.
For whomAnyone in tech, especially young founders and professionals.
WhySuccess in AI is correlated with being physically near other risk-takers; failure is tolerated and networks lead to re-employment, unlike in isolated regions.
CaveatsHigh cost of living; not all cities welcome disruption; requires personal agility.

Alex noted that despite virtual tools, displacement exists because people are unwilling to move, and mobility maximizes options. Dave pointed out that San Francisco's AI scene is concentrated in Mission Bay. Salem cited Steve Blank's research: most Silicon Valley founders came from elsewhere, because hometowns punish audacity. Peter shared Philip Rosedale's LinkedIn analysis finding the Bay Area has 10x the entrepreneur density of anywhere else. The group mentioned the VC who funded a founder through seven failures because they knew he wouldn't stop—a culture that cannot exist without density. They recommended explicitly choosing your environment to shape your outcomes.

Personal experience

Salem: 'Steve Blank did some research… almost everybody in Silicon Valley has come from somewhere else in the world. If you stand up in your hometown and say I want to change the world, the rest of society beats you back down.' Alex: reporting from a car a few blocks from Steve Jobs' old house in Palo Alto, highlighting presence in the hub.

I think geographic mobility is going to be ironically… absolutely important to maximize mobility.

Also said
“One thing we know about that guy he's completely barking mad and he's never going to stop. At some point he's going to succeed and when he does we want to be there.”— Anecdote illustrating tolerance for failure in the ecosystem

Consciously Choose Your Five Closest Associates

WhatDeliberately select the five people you spend the most time with, because you become the average of them.
WhenOngoing; periodically reassess your social circle.
For whomEveryone, particularly those in career transitions or high-ambiguity environments.
WhySocial influence shapes habits, ambition, and perspective; you cannot avoid it, so manage it intentionally.

Dave referenced Drew Houston's MIT commencement speech from 2017, which argued that scientific studies prove you become the average of the five people you spend the most time with. He said this is a positive for the podcast team but stressed that it should not be left to chance: 'Choose those five people very very carefully. Don't let it just default to random. Choose them explicitly.' This protocol ties to the earlier geographic mobility advice—moving to the right city is a way to choose a better default set of five.

Personal experience

Dave: 'which is actually a great thing about spending this time with you guys now that I think about it.'

You become the average of the five people you spend the most time with… choose those five people very very carefully.

Force Data Centers to Create Their Own Power

WhatPush for regulations that require data centers to generate their own electricity on-site, rather than banning them, to address grid and pricing concerns.
WhenNow, as local oppositions grow.
For whomPolicymakers, data center operators, and community advocates.
WhyEliminates conflict over grid strain and electricity cost increases, removing the main argument used by NIMBY groups.
CaveatsMay increase capital costs for data centers; does not address water fears, but those can be addressed with transparent closed-loop designs.

Just force the data centers to create their own power and you're done. It's just that easy.

Also said
“The data center just takes a bucket of water and circulates it in a circle. It does not drink down your back.”— Reinforces that both power and water fears are overstated or solvable

Implement Profit Sharing When Automating Jobs

WhatWhen introducing AI-driven automation, share the resulting profits with workers to align labor and capital and prevent backlash.
WhenDuring workforce transitions, especially in mid-market firms adopting AI.
For whomCEOs, business owners, and policymakers.
WhyHistorical Luddite revolts were about owners not sharing gains; profit sharing creates win-win outcomes and reduces social friction.
CaveatsRequires designing equitable mechanism; not a substitute for retraining but a supplement.

Salem explained that the Luddites weren't against machines, they were against the owners who kept all the profit. He suggested that as AI collapses hierarchies, profit sharing becomes essential. Peter described Robert Goldberg's model: he goes into mid-market engineering, construction, and trucking firms, and the first thing they do is implement profit sharing, which owners love once they see the mechanism. Alex cautioned that capitalism doesn't have to be labor exploitation if equity alignment is built in. This protocol is presented as a way to prevent the coming organizational singularity from becoming socially explosive.

The Leites were not raging against the machines for machine sake. They're raging against the owners of the machines for not sharing the profits back with them.

Also said
“The best arranged companies create equity-based alignment between labor and capital.”— Positive framing of the same goal

Replace All Parameter Tuning with Natural Language Prompts

WhatDo not rely on temperature, reasoning tokens, or agent counts as parameters; instead, instruct newer models in natural language for determinism, reasoning depth, and sub-agent spawning.
WhenWhen using Claude 4.7 or similar frontier models that have deprecated explicit controls.
For whomDevelopers, AI practitioners, and prompt engineers.
WhyThe model's documentation now states that prompts are the only way to control behavior; temperature zero was never truly deterministic.
CaveatsPrompt engineering skill becomes critical; older workflows relying on parameter tuning must be redesigned.

The new guidance is use prompts. Use prompts for everything.

Also said
“You want determinism, forget about it. Temperature equals zero never was deterministic in the first place.”— Justifies the removal of the temperature knob

Optimize Brain Health Through Diet, Exercise, and Sleep

WhatEat a healthier diet, move your body regularly, and optimize sleep to reduce dementia risk and potentially reverse advanced brain age.
WhenDaily, as part of a long-term health protocol.
DoseConsistent lifestyle changes; Fountain Life program achieved improvements in 46% of participants over 13 months.
For whomAnyone concerned about cognitive decline, especially those over 40.
Why45% of dementia cases are preventable with lifestyle; sleep optimization is critical for brain clearance.
CaveatsRequires sustained effort; not a replacement for medical diagnostics but a powerful preventive measure.

What we showed is that we were able to improve the brain age in 46% of those individuals. That's a powerful number.

Pursue Personalized Cancer Cures by Building an AI-Augmented Medical Team

WhatIf faced with a terminal diagnosis, assemble a team of oncologists, researchers, and AI tools, feed all personal medical data into LLMs to identify cross-indication treatments and design custom vaccines.
WhenWhen standard clinical options are exhausted.
For whomPatients with advanced cancers, particularly those with financial resources and data access.
WhyAI can find non-obvious drug candidates across disease categories, as demonstrated by the GitLab founder's case.
CaveatsRequires substantial financial and technical resources; the regulatory environment may not yet support such N-of-1 trials widely; results are not guaranteed.

Solve everything. And we're going to see this type of story I think more and more frequently until some sort of regime change at the FDA.

Also said
“He fed 25 terabytes of his own body's data into chat GPT… And the AI found something his doctors had missed. A treatment approved for a completely different cancer that nobody had ever tried on his type.”— Specific example of AI's unique capability

What's new

Personal practice updates, fresh positions, predictions

3 items

Anthropic Opus 4.7 Release and the End of Parameter Tuning

Start of episode (Opus 4.7 discussion)

Anthropic launched Opus 4.7, improving coding, agentic tasks, and image input size (3x larger), while eliminating temperature and reasoning token controls—replacing all hyperparameter tuning with natural language prompts.

Why this matters: Marks the formal end of an era where developers could dial deterministic behavior or reasoning depth; now the model treats prompts as the only interface for control.

Background

Previous versions allowed temperature=0 for quasi-deterministic output and explicit reasoning token counts. The shift deprecates those in favor of categorical reasoning effort settings and prompt engineering.

Alex described Opus 4.7 as ‘moderately interesting’ but not mythically so, likely a distillation of a larger model. Dave tested it in agentic scenarios; it actively suggested larger budgets and installed a new terminal without prior setup, something 4.6 could not do. The model now accepts images 3× larger, vital for corporate diagram scanning, yet still cannot generate images—a deliberate economic trade-off. The most radical change is the removal of all hyperparameter dials. The documentation bluntly says: ‘Temperature equals zero never was deterministic in the first place’ and instructs users to prompt everything. This forces a new paradigm where natural language is the only lever, raising stakes for prompt design but reducing complexity. The model also showed slightly reduced misaligned behaviors, and Anthropic’s separate paper showed that a weaker model can align a stronger one, which Alex interpreted as a proxy for humans supervising superintelligence.

Personal experience

Dave: ‘I've been using it for three hours… it dropped into cursor just fine… in computer use it notched way up in its score, and it had no trouble manipulating my computer to install itself, installing a new version of Node, installing a whole new terminal that I didn't have on the machine before. I don't think 4.6 would have done that.’ Alex: ‘The problem is it's sort of an osboring effect where I want mythos access. Give me mythos access.’

The new guidance is use prompts. Use prompts for everything.

Also said
“All of the dials and hyperparameters that used to be present in 4.6 and earlier, like temperature, for example, there's no temperature knob anymore.”— Highlights the removal of explicit controls
“You want determinism, forget about it. Temperature equals zero never was deterministic in the first place.”— Gives the blunt rationale behind the shift
“The images that Opus 4.7 accepts are now three times bigger than before… huge for corporate stuff because there's so many diagrams, PowerPoints, PDFs, etc. that can now be scanned visually that couldn't before.”— New capability that increases enterprise utility

Allbirds Rebrands to 'Newbird AI', Stock Surges 700%

Later segment

The struggling shoe company Allbirds sold its IP for $39M, renamed itself Newbird AI with plans to offer GPU-as-a-service, and its stock surged 700% from $21M to $150M market cap despite no AI expertise.

Why this matters: Exemplifies extreme AI-washing and frothy market where a name change alone can re-rate a company dramatically.

Peter detailed the company's decline from a $4B valuation to $150M in sales, then a fire sale of its brand. When the AI pivot was announced, the stock skyrocketed. Dave supported the move if the company genuinely puts capital into the AI funnel, e.g., cutting a revenue share with a data center, noting that many successful companies pivoted radically (Nokia tires to phones). Salem warned that narrative leverage must not outpace business model leverage. Alex noted that capital is chasing AI stories faster than operating reality, and that careful execution will determine whether it's pets.com or a real transformation. The discussion underscored market irrationality but also the real opportunity for incumbents to reinvent themselves.

I sent it off to all the corporate CEOs and said, 'Hey guys, I hope it holds up.'

Also said
“If you had true situational awareness… if they had hired an AI team internally and if they had done something other than just changing their name, I'd buy it. Now they do have a kitty of some $39 million. I guess you could invest in this and hire people. I hope they make those moves so it's not just lipstick.”— Shows the cautious endorsement and the requirement for real action

Rising Local Opposition to Data Centers and State Moratoriums

Mid-episode

A Missouri town ousted its city council for approving a $6B data center, Maine passed the first statewide 18-month moratorium on new data centers, and $98B in projects were blocked or delayed in Q1 2025.

Why this matters: Social license is becoming a critical bottleneck for AI compute, potentially forcing acceleration of space-based data centers.

Dave debunked water usage fears, explaining data centers recirculate water in a closed loop unlike chip fabs. He proposed simple fixes: force data centers to generate their own power or pay differential rates to lower consumer bills. Salem argued that constriction drives innovation, as with China's domestic chip development. Alex saw an upside: if ground-based bans persist, it accelerates the deployment of orbital compute (SSO Dyson swarm), which he believes will put the US in the lead. New Hampshire bucked the trend by passing an AI right to compute. The segment exposed how misinformation fuels NIMBYism, creating a political risk that could redirect entire infrastructure buildouts to space.

Water usage is the biggest lie in the history of the world… The data center just takes a bucket of water and circulates it in a circle.

Also said
“Just force the data centers to create their own power and you're done. It's just that easy.”— Offers a direct solution to electricity price fears

Recommendations

Products, supplements, and tools mentioned in the episode

1 item

Claude Opus 4.7 (Anthropic)

Tool

The latest version of Claude, now available in cursor and Claude Code, with enhanced computer-use, agentic capabilities, 3x larger image input, and prompt-based control. Recommended de facto as the model they are actively using and discussing.

vs alternatives

Compared to Opus 4.6, it is better at agentic tasks and image handling but lacks image generation; compared to unreleased mythos it feels underwhelming.

Personal experience

Dave: 'It dropped into cursor just fine. Just click and go. It's in Claude Co-work just fine.' Alex: 'It is moderately interesting… a solid release.'

It's a solid release. I've been using it for the past few hours… it generated something that was visually stunning.

Find Claude
Disclosed sponsorships5speaker disclosed

Blitzy

Service Sponsored · disclosed

Blitzy is an autonomous software development platform that uses thousands of specialized AI agents to understand enterprise-scale codebases; it delivers 80% of development work autonomously, boosting engineering velocity 5x when paired with a co-pilot.

DisclosureSponsored segment read by the host.

Enterprises are achieving a 5x engineering velocity increase when incorporating Blitzy as their pre-IDE development tool.

Find Blitzy

Fountain Life

Service Sponsored · disclosed

Fountain Life offers advanced diagnostics and a brain health program that improved brain age in 46% of members with advanced brain age over 13 months by optimizing diet, exercise, and sleep.

DisclosureSponsor of the health section; Peter is a member and host.

What we showed is that we were able to improve the brain age in 46% of those individuals. That's a powerful number.

Find Fountain

We Are as Gods: A Survival Guide for the Age of Abundance

Book Sponsored · disclosed

Peter's new book, released the day before the podcast, argues that humanity has achieved god-like capabilities (omniscience, omnipotence, omnipresence) and must adopt the right mindset of agency and agility.

DisclosureAuthored by Peter Diamandis (host) and Steven Kotler.

Personal experience

Peter: 'My new book came out yesterday. We are as Gods… I love it. This is the best work that Steven Kotler and I have ever done. I'm super proud of it.'

We are as Gods, a survival guide for the age of abundance.

Find We

Metatrends Newsletter

Service Sponsored · disclosed

Peter and his research team study meta-trends (computation, AI, robotics, synthetic biology, etc.) and publish a concise weekly report to help readers see the future 10 years ahead.

DisclosurePeter's own weekly research newsletter.

Personal experience

Peter: 'I have an incredible research team. And every week, myself and my research team study the meta trends that are impacting the world… these Metatrend reports enable you to see the future 10 years ahead.'

Go to diamandis.com/metatrends. That's diamandis.com/metatrends.

Find Metatrends

Henry Intelligent Machines

Service Sponsored · disclosed

Henry creates AI systems that aim to put every person in charge of their own personal conglomerate, aligning with the vision of one-person unicorns run by AI.

DisclosurePeter Diamandis backed the company through his fund.

Personal experience

Peter: 'This is one of the reasons why… I helped to back Henry intelligent machines which is trying to put every person on the planet in charge of their own personal conglomerate.'

Trying to put every person on the planet in charge of their own personal conglomerate.

Find Henry

Notable quotes

Lines worth pulling out — contrarian, specific, or perfectly phrased

5 items
The new guidance is use prompts. Use prompts for everything.
Defines a paradigm shift where natural language replaces all engineering knobs in frontier AI models.
99% of the people you bump into on the street are underreacting and unaware.
Highlights the massive gap between public perception and AI reality, reinforcing the urgency of education.
How dare you think that you should pause this or stop this? If you don't want to use it, fine. Let other people use it and get the benefits of it.
Passionate rebuttal against the pause-AI movement, linking it to real-world cures and innovation.
I would bet that Apple in short turn ends up pitting Amazon, the new global star owner, against SpaceX Starlink.
A sharp strategic prediction about how Apple will dual-source satellite connectivity, turning Globalstar's acquisition into a competitive dynamic.
Water usage is the biggest lie in the history of the world… The data center just takes a bucket of water and circulates it in a circle.
Debunks a common anti-data-center argument with a vivid, simple image, revealing the misinformation behind local bans.

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Topics covered

anthropic-opus-47stanford-ai-index-2026youth-employment-aiai-backlash-violencedata-center-bansworkers-training-ai-replacementsai-controlled-retail-storejack-dorsey-organizational-singularityamazon-globalstar-vs-starlinkgoogle-turboquantai-religion-microcultsgitlab-founder-ai-cancer-cureallbirds-ai-pivotenhanced-gameshuman-speciation-forks
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