Entity trail

Jack Clark

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-07-12 / sources-researcherImport AI 464: Claude Fable Autonomously Writes the Fastest Megakernel Ever Submitted to KernelBench-MegaJack Clark's Import AI 464 (~July 6, 2026) leads with Claude Fable autonomously writing 'the first genuine (and fastest) megakernel' submitted to the KernelBench-Mega leaderboard — an 18.71x speedup in hand-written CUDA on an RTX PRO 6000 Blackwell vs. an optimized PyTorch baseline, with torch.profiler showing exactly one cooperative kernel launch per decoded token (rivals decomposed into 4 to 14). It beat other frontier models writing Triton: Opus 4.8 (14.4x), GLM-5.2 (11.14x), GPT-5.5 (4.34x). For builders: models can now author production-grade, hardware-specific GPU kernels that beat hand-tuned baselines — a real shift in inference-optimization economics and a recursive-self-improvement signal.
2026-07-07 / sources-researcherImport AI: Remote Labor Index Climbs From 2.5% to 16.1% in Nine MonthsJack Clark's latest Import AI reports the Remote Labor Index — a measure of AI systems completing real remote-work tasks — rose from 2.5% at its October 2025 launch to 16.1% by July 2026. A ~6.5x jump in under a year is a sharp, quantified data point on automation trajectory rather than anecdote. For builders and hiring, it's a concrete curve to reason against when scoping which remote knowledge-work tasks are becoming reliably agent-doable.
2026-07-02 / sources-researcherImport AI 463: NVIDIA's ENPIRE Gives Physical Robots a Self-Improvement LoopJack Clark's Import AI 463 leads with NVIDIA's ENPIRE, software that puts real-world robotics into autonomous experiment-and-execution loops analogous to how AI agents self-improve — letting physical robots run their own experimentation cycles rather than relying solely on human-designed training. The issue also covers a 10,000-GPU Chinese cluster and an essay on the human era. The robotics self-improvement angle is the builder-relevant signal: the agentic self-improvement pattern is being pushed into embodied systems.
2026-06-24 / sources-researcherImport AI #462: Study Finds AI Now Out-Persuades Humans in TextJack Clark's latest issue leads with an Oxford / UK AI Security Institute / Stanford / LSE study spanning 18,978 conversations across 6,923 people, concluding that today's AI systems are better than humans at text-based persuasion with real-world consequences. The issue also covers 'self-sustaining AI' and concrete paths to ASI. The persuasion result is a notable empirical data point for anyone reasoning about AI-driven content and trust. Published June 22, 2026.
2026-06-22 / sources-researcherImport AI #461: New Org 'Sequent' Launches on the Thesis That 'Alignment Is Not on Track'Jack Clark covers Sequent, a new alignment-research organization founded on the view that frontier labs' reactive approaches won't keep pace with superintelligence development. Rather than react, it plans a portfolio of 'differentiated alignment bets.' A signal worth noting for anyone tracking where independent safety capital and talent are flowing.
2026-06-22 / sources-researcherPreregistered Study: Frontier AI Reliably Out-Persuades Expert Humans, Even After They're Coached Against ItA four-experiment preregistered study (18,978 conversations, 6,923 people) finds frontier AI more persuasive than expert humans across five comparator classes — including elite debaters and professional canvassers who researched their topic, practiced live, and were paid £1,000 bonuses. In a real-money test it was ~3x better than a UK fundraising firm at soliciting Save the Children donations, and its edge held even after experts trained against the model that beat them (parity only when AI was throttled to human speed and message length). This is the clearest signal yet that persuasion is a measurable, deployable capability — and a governance problem — not a hypothetical; it also led Jack Clark's Import AI #462.
2026-06-08 / rss-researcherImport AI 460: Reward-Hacking 'Society,' Anthropic RSI Data, and RL-Based Quadcopter RacingJack Clark's Import AI 460 covers fresh recursive self-improvement (RSI) data from Anthropic, the emerging research thread on reward-hacking dynamics across agent populations, and RL-trained quadcopter racing. Import AI remains one of the highest-signal practitioner newsletters for connecting frontier-lab research to broader safety and capability trends. The RSI data point is the most consequential for builders watching the self-improving-systems frontier.
2026-06-08 / reddit-researcherAnthropic Warns of Imminent Recursive Self-Improvement, Calls for an Industry 'Brake Pedal'Anthropic's Jack Clark and institute lead Marina Favaro published a warning (June 5) that 'full recursive self-improvement' — AI autonomously building its own successors — is closer than the industry assumed, and urged coordinated technical 'brake pedal' safeguards akin to Cold War arms control. Clark disclosed that ~80% of Anthropic's coding work is already done by Claude and could reach 100% within a couple of years. For practitioners, it reframes safety eval assumptions: current evaluations assume improvements happen only between training runs, which self-improving systems would break.
2026-06-08 / sources-researcherAnthropic Publishes First Concrete Evidence of 'Prosaic' Recursive Self-Improvement — 8x More Code Merged in 2026In a new Anthropic Institute post surfaced by Import AI 460, the company reports an 8x increase in lines of code merged into its codebase in 2026 versus 2021–2024, a trend that began in 2025 and 'accelerated significantly' as models got more capable. Jack Clark frames this as preliminary signs of the outer loop of RSI at a lab level — distinct from the maximalist version (AI designing its successor), which he estimates at 60% likely by end of 2028. For builders, it's the first first-party quantification of compounding AI-on-AI productivity inside a frontier lab.
2026-06-07 / rss-researcherAnthropic: Claude Now Writes 80%+ of Its Own Production Code, Calls for a Global 'Pause Button'In a new report 'When AI Builds Itself' (June 4), Anthropic's Jack Clark and Marina Favaro disclose that as of May, Claude authored over 80% of code merged into Anthropic's production codebase — up from under 10% in early 2025 — and engineers now ship roughly 8x more code per quarter than in 2021-2025. The authors warn about recursive self-improvement and argue the industry needs a coordinated, verifiable way to slow or temporarily pause frontier development if systems begin improving themselves faster than society can manage. A striking primary-source data point for anyone building with agentic coding.
2026-06-01 / sources-researcherImport AI 458: Jack Clark's Oxford Lecture — 'Reckoning with the Future' of AI ProgressAnthropic co-founder Jack Clark published the full essay from his 2026 Cosmos HAI Lab Lecture at Oxford, framing AI's advancement as a choice: 'explore the future, or retreat from the present.' The issue also includes a fiction piece imagining what a positive singularity might look like. Clark's essays are the closest thing to AI policy strategy documents written for a technical audience — this one is essential reading for anyone thinking about where the industry is headed.
2026-05-27 / rss-researcherImport AI 458: Jack Clark Predicts Autonomous Companies Earning $10M+ by Nov 2027, Documents Anthropic's Org Transformation Post-Opus 4.6Jack Clark's latest newsletter covers his Cosmos HAI Lab lecture with specific forecasts: AI biology breakthroughs by November 2026, human-AI Nobel Prizes by April 2027, autonomous companies generating tens of millions by November 2027, and robots performing real-world work by April 2028. Clark also documents how Anthropic reorganized after Opus 4.6 shipped — employees shifted from direct coding to managing AI-generated code, with the company restructuring around verification and observability of AI outputs.

Graph relationships

MENTIONS
Moltbook
Jack Clark analyzed Moltbook agent ecologies in Import AI #443.
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Anthropic
Jack Clark is a co-founder of Anthropic.
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Anthropic
Jack Clark is co-founder of Anthropic
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WORKS AT
Anthropic
Jack Clark is co-founder of Anthropic.
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WORKS AT
Anthropic
Jack Clark is co-founder of Anthropic
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WORKS AT
Anthropic
Jack Clark is co-founder of Anthropic
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PREDICTS
Recursive Self-Improvement
Jack Clark predicts full recursive self-improvement is imminent.
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WORKS AT
Import AI
Jack Clark leads Import AI newsletter
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WORKS AT
Import AI
Jack Clark publishes Import AI research on AI automation trends
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Anthropic
Jack Clark is an Anthropic author of the report 'When AI Builds Itself'.
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WORKS AT
Anthropic
Jack Clark works at Anthropic.
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BUILT BY
Import AI
Import AI is built by Jack Clark.
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Source trail

Import AI X/swyx antirez.com Source Source Source Source Source Source Source Source Import AI 463

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