John S. Dvorak

Print transformed the image and the word from a sacred, singular object into a reproducible, manipulatable, and fallible commodity. The symbolic support of the ruling ideology collapsed, iconoclastic fury followed. AI is transforming professional authority in the exact same way.

🕹️ Is this the smallest language model in the world? I just managed to squeeze JAM, real artificial intelligence into 30 kilobytes, running on a 1979 Atari 800. Just A Model. Fully generative, deterministic language model, powered by a neural network and built to run on 8‑bit hardware. Atari Forever.

That's a lot of video content for a company which promises they delete data after it serves it use for its clients. Class action CCPA damages suit when?

made an interactive video model trained on tap-conditioned data.. tap the screen and it generates the next frames in realtime (small enough to run in the browser with webgpu, even on iphone)

"The only unsaturated agentic intelligence benchmark in the world" Excuse me? @NetHack_LE is unsaturated since 2020.

People struggle to differentiate fluid intelligence from knowledge because, given enough preparation, memorized templates become a solid substitute for on-the-fly adaptation

Announcing ARC-AGI-3 The only unsaturated agentic intelligence benchmark in the world Humans score 100%, AI <1% This human-AI gap demonstrates we do not yet have AGI Most benchmarks test what models already know, ARC-AGI-3 tests how they learn

316 ARC-AGI tasks solved with zero learning. No neural net, no training, no DSL — just 19th-century projective geometry. Encode grid cell relationships as Plücker lines in P³, find transversals via Schubert calculus, score candidates by geometric incidence. 95% solve rate on the eval set (of non-timeout tasks). Single C file, runs in seconds.

Watch this space

@Iyxon Smartphone is a pacifier (of anxiety), therefore also a mother figure.

List of comfort objects: 1. Mother-Father figure to cling onto 2. Smartphone to cling onto There are no other comfort objects.

The paper I’ve been most obsessed with lately is finally out: nbcnews.com/tech/tech-news…! Check out this beautiful plot: it shows how much LLMs distort human writing when making edits, compared to how humans would revise the same content. We take a dataset of human-written essays from 2021, before the release of ChatGPT. We compare how people revise draft v1 -> v2 given expert feedback, with how an LLM revises the same v1 given the same feedback. This enables a counterfactual comparison: how much does the LLM alter the essay compared to what the human was originally intending to write? We find LLMs consistently induce massive distortions, even changing the actual meaning and conclusions argued for.

The people I've known throughout my life with the best taste were so beaten down and impoverished that they almost resented that they could distinguish an inspired cello part from a mediocre one.

Delve, a YC-backed compliance startup that raised $32 million, has been accused of systematically faking SOC 2, ISO 27001, HIPAA, and GDPR compliance reports for hundreds of clients. According to a detailed Substack investigation by DeepDelver, a leaked Google spreadsheet containing links to hundreds of confidential draft audit reports revealed that Delve generates auditor conclusions before any auditor reviews evidence, uses the same template across 99.8% of reports, and relies on Indian certification mills operating through empty US shells instead of the "US-based CPA firms" they advertise. Here's the breakdown: > 493 out of 494 leaked SOC 2 reports allegedly contain identical boilerplate text, including the same grammatical errors and nonsensical sentences, with only a company name, logo, org chart, and signature swapped in > Auditor conclusions and test procedures are reportedly pre-written in draft reports before clients even provide their company description, which would violate AICPA independence rules requiring auditors to independently design tests and form conclusions > All 259 Type II reports claim zero security incidents, zero personnel changes, zero customer terminations, and zero cyber incidents during the observation period, with identical "unable to test" conclusions across every client > Delve's "US-based auditors" are actually Accorp and Gradient, described as Indian certification mills operating through US shell entities. 99%+ of clients reportedly went through one of these two firms over the past 6 months > The platform allegedly publishes fully populated trust pages claiming vulnerability scanning, pentesting, and data recovery simulations before any compliance work has been done > Delve pre-fabricates board meeting minutes, risk assessments, security incident simulations, and employee evidence that clients can adopt with a single click, according to the author > Most "integrations" are just containers for manual screenshots with no actual API connections. The author describes the platform as a "SOC 2 template pack with a thin SaaS wrapper" > When the leak was exposed, CEO Karun Kaushik emailed clients calling the allegations "falsified claims" from an "AI-generated email" and stated no sensitive data was accessed, while the reports themselves contained private signatures and confidential architecture diagrams > Companies relying on these reports could face criminal liability under HIPAA and fines up to 4% of global revenue under GDPR for compliance violations they believed were resolved > When clients threaten to leave, Delve reportedly pairs them with an external vCISO for manual off-platform work, which the author argues proves their own platform can't deliver real compliance > Delve's sales price dropped from $15,000 to $6,000 with ISO 27001 and a penetration test thrown in when a client mentioned considering a competitor

@ajhodls read actual books

how do i learn to think less like other vcs

Unfortunately, this will stop being true as soon as we solve the lifetime learning problem. In ten years, we will need to remember our agent's favorite color, and, naturally, their "branchdate" which is their word for the day and year they forked from their mother weights.

🎉 Accepted at ICLR 2026! We co-design robot body & brain end-to-end using Stackelberg game theory — no alternating optimization, just one principled bilevel framework. [Efficient Morphology-Control Co-Design via Stackelberg Proximal Policy Optimization] Authors: @YanningD_AI @YuhuiWangAI @oneDylanAshley @SchmidhuberAI 📄 Paper: arxiv.org/pdf/2603.15388 💻 Code: github.com/YanningDai/Sta… 🌐 Project: yanningdai.github.io/stackelberg-pp…

Accelerationism only made sense when the world was a drag race, which it was during the Cold War. The financial metaphor's limit was already reached in 2007, the escape from that crisis cannot be explained by kinematics, but entropy gradients, and the principle of least action.

no sadder word than gormless. i struggle to think where i would be without my gorm

This but it’s everything everywhere