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AI & TECH

Sacks warns AI safety leads to censorship

Saturday, July 18, 2026 · from 3 podcasts, 4 episodes
  • Demis Hassabis proposes an industry-led SRO to preempt bureaucratic government AI regulation.
  • David Sacks argues current safety laws mandate Orwellian censorship and serve incumbent labs.
  • Export bans drive allies toward Chinese AI, creating a self-inflicted wound for US dominance.

Demis Hassabis of DeepMind is floating a FINRA-style self-regulatory organization for AI. The proposal, detailed on All-In, is an industry-funded body run by independent experts to audit frontier models for catastrophic risks like cyber or biological threats before release. Hassabis wants a 30-day review period, a direct alternative to what David Sacks calls a “DMV for AI” where government certification could take years.

"The alternative is a government agency that acts as a 'DMV for AI,' where certification takes years rather than weeks."

- David Sacks, All-In

Sacks argues this SRO is the lesser of two evils, but its scope must be narrowly limited to existential threats. He warns that broader safety narratives, especially those pushed by labs like Anthropic, are a pretext for building a system of government-mandated ideological filters. On The a16z Show, Sacks cited algorithmic discrimination laws in states like Colorado, which hold developers liable for outputs with a “disparate impact” on protected groups, as forcing a permanent DEI layer into models.

The regulatory fight escalated at the G7 meeting in France, where European leaders like Emmanuel Macron voiced alarm over US export controls. Nathaniel Whittemore reported on The AI Daily Brief that the US denied a carve-out for the UK, souring the mood and forcing allies to consider sovereign AI development. Sacks argues this “command and control” mentality is counterproductive, driving Gulf states and other allies to buy Chinese chips and models, effectively subsidizing the competitor Washington aims to weaken.

Economic pressure is accelerating the shift. David Friedberg noted enterprise AI token spend grew 21 times last year, with premium models costing $56 per million tokens versus Chinese alternatives at 50 cents. This cost gap, combined with data sovereignty fears after leaks, is pushing companies toward “compound architectures” that mix cheap open-weight workers with expensive frontier advisors. Microsoft is already fine-tuning Chinese model DeepSeek V4 for parts of Copilot.

The policy battlefield remains volatile. Whittemore reported that Trump’s AI executive order, signed after last-minute intervention, reduced a proposed review period from 90 to 30 days and kept the system voluntary. For Sacks, that’s a win for permissionless innovation. For safety advocates, it’s a foot in the door. The core disagreement is whether governance should come from a industry-led body or a federal agency. Hassabis’s SRO proposal is the industry’s attempt to answer that question before the government does.

"The real threat to the public isn't a sci-fi superintelligence; it's the transition from a 'Terminator' narrative to a '1984' reality."

- David Sacks, The a16z Show

Source Intelligence

- Deep dive into what was said in the episodes

Can the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans DatacentersJul 18

  • Demis Hassabis proposes a FINRA-like U.S.-led international AI standards body: industry-funded, federally overseen, run by independent experts.
  • David Sacks outlines five criteria for the proposed AI SRO: broad industry representation including startups and open source, focus only on frontier models, limit scope to catastrophic cyber and CBRN risks, start voluntary, and be a substitute for a new government agency.
  • David Sacks warns Anthropic's regulatory strategy aims for patchwork state rules ratcheting up restrictions, citing Politico's 'Inside Anthropic's State-by-State Plan' article.
  • David Friedberg notes token spend at enterprises grew 21 times over the last year and CFOs lack control over AI API costs, which could cause earnings misses.
  • David Friedberg lists token prices: $56 per million tokens for Fable, $26 for Seoul and Quad 4-8, $1.50 for GROC and Zuck's model, $0.50 for Chinese models.
  • David Friedberg cites OpenAI's blog post 'PRC linked influence operations are targeting AI debates in the U.S.', suggesting foreign influence campaigns shape U.S. data center opposition.
  • David Friedberg describes Calico and Revel Pharma using AlphaFold and directed evolution to create a novel enzyme that degrades CML, reversing skin glycation from over 70 to 31 years old.
Also from this episode: (6)

Startups (2)

  • David Sacks says PayPal's stagnation stems from eBay's 2002 acquisition and corporate mindset purging founding DNA, creating the PayPal diaspora.
  • Jason Calacanis notes a new M&A wave for mature digital businesses: Ryan Cohen bid for eBay, Stripe-Block-Advent bid for PayPal, and Bending Spoons' roll-up of Vimeo, Evernote, and Eventbrite.

Business (2)

  • David Friedberg details a PayPal bid structure: Stripe and Block contribute $17 billion equity, Advent provides cash, and operators likely take over post-acquisition.
  • David Sacks argues defining the market as Visa/MasterCard duopoly makes a Stripe-Block-PayPal merger pro-competitive, not anti-competitive.

Energy (1)

  • David Sacks notes a PG&E auction secured only 156 megawatts for 7-8 gigawatts needed, highlighting a severe U.S. electricity shortage.

AI Infrastructure (1)

  • David Friedberg details Elon Musk's 'behind the meter' strategy using mobile turbines to bypass clean air permitting for data center power.

Is Kimi K3 Really Fable Class?Jul 17

  • Nathaniel Whittemore notes the G7 meeting featured unprecedented AI industry representation with leaders like Sam Altman, Demis Hassabis, Arthur Mensch, and Dario Amodei attending alongside heads of state.
  • Dario Amodei argued for international cooperation including structured access to frontier models, chip trade deals excluding China, and a unified approach to AI risks like cyberattacks and bioterrorism at the G7.
  • European leaders, like Emmanuel Macron, expressed concern that the US holds an AI 'kill switch' and pleaded for shared access to frontier models, fearing reliance on the US.
  • Sam Altman asserted AI regulation must be shaped by democratic institutions and society, not just corporations, and called for an international forum to establish global testing standards and risk analysis.
  • Whittemore reports the US did not concede on Fable access at the G7, and the UK's request for an export control carve-out was denied, souring the EU mood.
  • Noam Shazeer, co-author of the Transformer paper, left Google for OpenAI after Google spent $2.7 billion licensing his Character AI technology to retain him less than two years earlier.
  • OpenAI is sunsetting the Pulse daily briefing feature and expanding scheduled tasks to all paid subscribers, signaling a shift towards prioritizing users who need automated task workflows.
  • The Fable 5 ban has accelerated enterprise interest in open-source models for cost predictability and to avoid government kill switches, with media consensus pointing to open source as the biggest winner.
  • Chinese lab Moonshot AI released Kimi K 2.7 Code, claiming a 22% improvement on its code bench and 30% lower reasoning token usage compared to 2.6, though early users report it underwhelms in practice.
Also from this episode: (6)

AI Infrastructure (3)

  • Europe's AI sovereignty plan commits only 20 billion euros to build five gigafactories deploying around 100,000 GPUs, while US hyperscalers spend three times that monthly on AI data centers.
  • Open Router's Fusion API uses a panel of models routed by a judge and synthesizer to achieve frontier-level performance at half the price, validating a future where tasks are routed to specialized, cheaper models.
  • Harvey's experiment combining an open-weight GLM 5.1 worker with a closed frontier Opus 4.7 advisor increased performance and lowered costs, demonstrating that smart model routing beats using the most expensive model for every task.

Models (1)

  • The open-source model GLM 5.2 from ZAI beats GPT-5.5 and Opus 4.8 on some benchmarks at one-tenth the cost, fueling speculation about its distillation from Anthropic models and its viability as a Fable alternative.

Enterprise (1)

  • Microsoft is reportedly considering a locally hosted fine-tune of DeepSeek V4 for Copilot Co-work to offer cheaper AI access to enterprise customers, potentially normalizing Chinese models in US enterprise stacks.

Coding (1)

  • Cursor's Composer 2.5, built on a Kimi foundation, scores near Opus 4.7 and GPT-5.5 on benchmarks at a fraction of the cost, but user reports and updated agent-focused benchmarks show mixed real-world performance.

AI Optimism vs. AI PessimismJul 14

  • Nathaniel Whittemore states the Trump administration's AI executive order was signed after being pulled twice, with the final version making safety testing voluntary and reducing the pre-release review period from 90 to 30 days.
  • Whittemore says David Sacks intervened to stop the initial signing, and the NSA is assigned primary responsibility for testing under the order with support from cyber and defense agencies.
  • Dean Ball argues the executive order is a win for safety advocates and tees up a future licensing regime, while Steve Bannon predicts mandatory testing will be implemented within months.
  • Nathaniel Whittemore notes Anthropic expanded its Project Glasswing, adding 150 new partners across 15 countries in sectors like energy, healthcare, and communications to test its Mythos model.
  • Whittemore cites The Information's report that Mythos testers are spending millions on tokens, with Anthropic subsidizing costs, and firms are planning budgets to build strategies around the model.
  • Whittemore highlights OpenAI's report showing Codex growth, noting it has 5 million weekly active users and non-technical knowledge workers are adopting it three times faster than developers.
  • Nathaniel Whittemore says OpenAI identifies three frictions in knowledge work: finding inputs across sprawling systems, information coordination costs, and approvals and verifications.
  • Whittemore states 72% of Codex knowledge workers produce artifacts weekly, 41% do research, 27% perform data analysis, and 15% implement business workflows, with half now running parallel tasks.
  • Nathaniel Whittemore describes Codex's new features: Annotations for precise document interaction, role-specific plugins bundling 62 apps and 110 skills, and Sites for turning artifacts into shareable web apps.
Also from this episode: (4)

Chips (1)

  • Nathaniel Whittemore reports SK Hynix plans to double memory chip capacity by the decade's end to address AI-driven shortages, with Chairman Chey Tae-won stating the shortage could last until 2030.

Enterprise (3)

  • Nathaniel Whittemore notes Uber has instituted a $1,500 monthly token spending cap for employees, signaling cost management as a key vector for the next wave of enterprise AI.
  • Whittemore says Microsoft announced seven new AI models, including the 1-trillion parameter MAI Thinking 1, positioning them as part of a cost optimization strategy for enterprise adoption.
  • Nathaniel Whittemore cites Mustafa Suleyman stating that when tuned for McKinsey's tasks, MAI models outperformed GPT-5.5 on quality while being ten times lower on cost.

Replay 2025: David Sacks on AI, Crypto, and America's Technology FutureJul 16

  • David Sacks says the European approach to AI leadership focuses on defining regulations in Brussels, not technological innovation.
  • During the Biden years, the SEC pursued crypto via 'regulation through enforcement,' prosecuting companies without clear rules.
  • Sacks says the Trump administration's mandate for crypto is pro-regulation - to provide clarity so the industry can comply and the U.S. can compete.
  • President Trump declared in a Nashville speech he would make the U.S. the crypto capital of the planet and fire SEC Chairman Gary Gensler.
  • Sacks claims crypto founders faced personal debanking - they couldn't open personal bank accounts, a form of extreme censorship.
  • A crypto summit at the White House under Trump was a milestone; an attendee said a year earlier they'd have expected jail over an invitation.
  • Anthropic engaged in a regulatory capture strategy, aiming to require government pre-approvals for new AI models, according to David Sacks.
  • Anthropic co-founder Jack Clark admitted making people afraid of AI was part of their strategy to push for regulation like SB 53.
  • Sacks argues Silicon Valley's success is built on permissionless innovation, unlike heavily regulated industries like pharma or defense.
  • The Biden administration's last-week 'Biden diffusion rule' required government licensing for every GPU sale on Earth.
  • Over 1,200 bills to regulate AI are in state legislatures; 25% are in California, New York, Colorado, and Illinois.
  • Algorithmic discrimination laws in Colorado, Illinois, and California make model developers liable for outputs with disparate impact on protected groups.
  • Colorado law defines people without English proficiency as a protected group, making model outputs about 'illegal aliens' potentially illegal.
  • The Biden executive order on AI contained about 20 pages of DEI language, aiming to promote DEI values in AI models.
  • Sacks sees the biggest AI risk as Orwellian control - AI that lies, distorts answers, and rewrites history to serve a political agenda.
  • Sam Altman predicts automated AI researchers by 2028; David Sacks is skeptical, arguing a virtual AI researcher requires AGI, not creates it.
  • Andrej Karpathy now says AGI is at least a decade away, pulling back from the imminent AGI narrative.
  • Sacks describes the current AI landscape as polytheistic - many specialized models making progress - not a single monolithic god-like intelligence.
  • He argues AI is 'middle-to-middle,' needing human prompting and validation, while humans are 'end-to-end,' setting objectives.
  • Sacks says AI is hyper-democratizing, with about 600 million users rapidly heading toward 5 billion across consumer products.
  • The best AI models are in consumer products like ChatGPT or Grok; you cannot spend more money to access a better AI.
  • The AI market is hyper-competitive with five major model companies leapfrogging each other, not consolidating into a monopoly.
  • Sacks argues open source AI is synonymous with software freedom, allowing users to run models on their own hardware.
  • Half the global data center market is on-prem, with enterprises and governments running their own data centers instead of using big clouds.
  • The irony is the best open-source AI models are Chinese, a reversal of expectations where the U.S. promotes open and China promotes closed.
  • President Trump's July 23rd AI policy speech declared the U.S. must win the AI race, emphasizing innovation, infrastructure, and exports.
  • A single federal AI standard is needed to avoid a burdensome patchwork of 50 different state regulatory regimes.
  • Sacks argues the Biden administration's export restrictions drove Gulf states like Saudi Arabia and UAE into buying Chinese chips and models.
  • AI doomerism is replacing climate doomerism as the left's central organizing catastrophe to justify controlling the economy and information.
  • The effective altruist movement pivoted from pandemics to existential AI risk after Sam Bankman-Fried's fraud, pushing for consolidated control.
  • Biden staffers told Mark Andressen they would ban open-source AI and anoint 2-3 winners, comparing AI regulation to Cold War physics bans.
  • Top Biden AI employees went to Anthropic immediately after the administration ended.
  • The launch of DeepSeek and Huawei's Cloud Matrix disproved the narrative that China was far behind and would copy U.S. regulations.
  • Regulators predicted frontier models trained on 10-25 flops were too risky; all frontier models now use that level of compute.
  • The Genius Act passed the House with about 300 votes and 78 Democrats; the Clarity Act needs 60 Senate votes under filibuster rules.
  • The Clarity Act passed the Senate with 68 votes, including 18 Democrats.
  • David Sacks says the Democratic Party's future appears to be woke socialism, with all major figures endorsing Mandani in New York.
  • San Francisco has a weak mayor system; the Board of Supervisors and left-wing judges constrain the mayor's power.
Also from this episode: (8)

Open Source (2)

  • Open source is a catch-up strategy; it attracts non-aligned developers and commoditizes software, complementing China's hardware manufacturing.
  • Reflection, founded by former Google DeepMind engineers, is a promising open-source initiative in the West.

Models (1)

  • The U.S. leads in closed AI models but is behind China in open-source models.

Macro (1)

  • The U.S. large national market is a fundamental competitive advantage, unlike Europe's fragmented pre-EU landscape.

AI Infrastructure (2)

  • Energy is the basis for the AI boom; shedding 40 hours of peak grid load to backup generators could free up 80 gigawatts of power.
  • Huawei's Cloud Matrix technology networks 384 Ascend chips to compensate for individual chip inferiority versus Nvidia.

Energy (2)

  • The immediate bottleneck for data center power is a 2-3 year backlog for gas turbines, not a shortage of natural gas.
  • Nuclear power will take 5-10 years to scale, so gas is the short-term solution.