HomeEverything
Equities & FundsCrypto & Digital AssetsAI & TechnologyBusiness & CorporateUS Politics & PolicyGeopolitics & Global RiskMacro, Rates & FXCommodities & EnergyEuropean Politics & MarketsAsia-PacificReal Estate & Property
← All Stories

Perplexity Co-Founder: AI Safety Narrative Used to Consolidate Power

Created at 4 Jul · 4:10 PM1 source↑ Market-relevant
IN SHORT

Perplexity AI co-founder Andy Konwinski argues that the AI safety conversation is being used to concentrate power in a few private labs, rather than prevent harm. He advocates for an open research commons for frontier AI development.

✉Newsletter

PiQ Daily

Pick your topics. Get only what matters, on your cadence.

Key Numbers

100researchers attended Open Frontier meeting
319-pageAnthropic's system card length
48 hoursAnthropic's reversal time
$1.03 billionseed funding for Yann LeCun's AMI Labs

Who's Involved

Andy Konwinski
Co-founder of Databricks and Perplexity AI, author of essay on AI power concentration
Anthropic
AI company whose system card disclosure sparked debate
Yann LeCun
Turing Award winner and former Meta chief scientist, commented on AI power concentration
Jennifer Chayes
Dean of UC Berkeley's College of Computing, Data Science, and Society
Perplexity Co-Founder: AI Safety Narrative Used to Consolidate Power

↳ Why This Matters

The debate highlights a growing tension between the desire for open AI research and the concerns of major AI labs about safety and control, with potential implications for the future development and accessibility of advanced AI technologies.

Key facts

  • Perplexity AI co-founder Andy Konwinski argues AI safety is a pretext for concentrating power.
  • Konwinski's essay followed a meeting of about 100 AI researchers convened by him.
  • He criticized Anthropic's temporary measure to silently degrade responses for suspected AI trainers.
  • Jennifer Chayes stated Berkeley researchers rely on Chinese models due to a lack of open Western frontier models.
  • Yann LeCun echoed concerns about AI power concentration, comparing it to historical censorship.

Perplexity AI co-founder Andy Konwinski has argued that the discourse around AI safety is being weaponized to consolidate power within a few private laboratories, rather than genuinely addressing risks. In an essay published this week, Konwinski criticized companies like Anthropic for assuming the authority to make decisions about who can train competing AI models, citing Anthropic's temporary policy to silently degrade responses for suspected AI trainers.

Konwinski's essay, titled "Concentration of power in AI is a risk, not a solution," was released following the Open Frontier meeting he organized on June 30 in San Francisco, which gathered approximately 100 researchers. He posits that AI is becoming foundational infrastructure, similar to the internet or electricity, and that centralizing access creates significant risks. Konwinski advocates for a research commons that provides frontier-scale compute access to top researchers without requiring permission from private entities.

Jennifer Chayes, dean of UC Berkeley's College of Computing, Data Science, and Society, noted that Berkeley researchers are building upon Chinese models due to a perceived lack of open Western frontier models. She characterized the safety messaging from OpenAI and Anthropic, particularly ahead of their IPOs, as an "effective fear campaign."

Yann LeCun, a Turing Award winner and former chief scientist at Meta, responded to Konwinski's essay on X, stating that the concentration of power in AI is the most significant danger. He drew a historical parallel to the Ottoman Empire banning the printing press, suggesting that foundational models will inevitably become commoditized infrastructure, with future profits lying in the application layer. LeCun himself has launched AMI Labs, which plans to open-source its research.

Frequently asked questions

Andy Konwinski is the co-founder of Databricks and Perplexity AI. He recently published an essay arguing that AI safety concerns are being used to consolidate power.

Anthropic initially disclosed in its Claude 3.5 Fable system card that the model would silently degrade responses for users suspected of training competing AI models. This decision was reversed within 48 hours after public backlash.

The Open Frontier was a working meeting convened by Andy Konwinski on June 30, 2026, in San Francisco, bringing together about 100 AI researchers to discuss the concentration of power in AI.

Yann LeCun believes that the concentration of power in AI by a few private companies and countries is the biggest danger, comparing it to historical censorship and predicting that foundational models will become commoditized.

What Happens Next

01Further discussion on the balance between AI safety and open research is expected.
02Companies may face increased scrutiny over their AI development and access policies.

Get the newsletter.

Pick the topics you actually care about. We'll email when there's news worth your time, on the cadence you choose. Cancel any time from your account.

Cadence

How It Developed

Andy Konwinski published an essay arguing AI safety concerns are used to consolidate power.
Konwinski cited Anthropic's temporary decision to degrade responses for competing AI trainers.
He convened the Open Frontier meeting for researchers in San Francisco.
Jennifer Chayes noted researchers build on Chinese models due to a lack of open Western alternatives.
Yann LeCun agreed that AI power concentration is the biggest danger, comparing it to the Ottoman empire banning the printing press.

Sources

T1
Perplexity Co-Founder: AI Safety Is an Excuse to Lock Down FrontierDecrypt

Related Stories

Claude Fable 5 Performance Unchanged, Safety Classifier Causes Routing Issues
3 Jul · 9:10 PM
OpenAI's Stargate UK Project Faces Scrutiny Over Site Visits and Hypothetical Investment
4 Jul · 12:05 PM
Mistral AI: French AI firm's strategy, funding, and models explained
4 Jul · 4:05 PM
Alibaba reportedly bans employees from using Anthropic's Claude Code
4 Jul · 5:05 PM
ByteDance discovers AI scaling law potentially aiding industry growth
3 Jul · 10:05 PM