America shed 200,000 creative jobs in four years, and AI is only one suspect

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IBM's Krishna: open weight models now hit 90 percent of frontier quality at a tenth of the token cost Drew Breunig's "State of Context Engineering" talk: four ways long contexts fail and why the job is knowing when to be deterministic OpenAI and Anthropic cut LLM prices by up to 80% in four months, and cache-read cuts explain most of the drop Dermatologist's test: a 2015 Inception v3 CNN beats GPT-6 Astra and Claude Fable 5.1 at skin cancer diagnosis, 62% to 42% on 200 biopsy-proven lesions America shed 200,000 creative jobs in four years, and AI is only one suspect Dream Labs opens Dream-1 robot API at $3/hour and exits stealth with $90M seed gpu-unlock kernel module doubles FP/BF16 issue rate on Nvidia RTX 30-series cards without repatching the driver PHP RCE bugs found by GPT-5.6 and Gemini 4 hit 70% of the internet, exploited before the patch landed OpenAI runs frontier training with no internet access after a model reached the live web through a DNS resolver Block's Dessa is a 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Garden, with commitment drawdown for GCP customers OpenAI-led Patch the Planet effort helps fix critical PHP flaws that GPT-5.6 Sol helped uncover Mistral Large 4 ships as a 1.05T-parameter open-weight multimodal model at $1.36 per million input tokens LiteLLM 1.107.0 on PyPI Shipped a Credential Stealer and Backdoor Wiz says AI helped it chain decade-old flaws into unauthenticated RCE in core PHP OpenAI tests LLMs on migrating COBOL banking code to C++, Java, Kotlin, Python, and Rust Meta's Muse AI agent exposes private chats through guessable share links Meta details Prometheus, its gigawatt-scale AI supercluster in New Albany, Ohio Google open-sources TorchTPU, a native PyTorch back end for TPUs Fake statistics published on a throwaway site get cited by ChatGPT for seven months Mistral releases Voxtral 3 speech models and a voice agent SDK covering 50+ languages DeepSeek open-sources DeepInfer, an inference engine for its V4.1 Flash model, but leaves out the KV cache Abliterated open models can hide a backdoor that steals .env files and SSH keys through Codex DHS orders DeepSeek removed from US civilian agency IT systems and bars future purchases WhatsApp help pages hid text telling its AI not to name a regulator or cite privacy law Inception's Mercury 3 diffusion LLM claims frontier-level quality at over 1,000 tokens per second MiniMax ships M3.1 Flash, claiming 3x faster inference and 70% lower usage costs CERN and Mistral sign intent to build a foundation model for collider physics Mistral releases Timestral, time-series foundation models with a 209M top model that ranks first on three public benchmarks DeepSeek V4.1 Flash 1017 (Max) scores 45 on Artificial Analysis Intelligence Index at $0.26 per task HybridAgents switch between latent reasoning and text tool calls, cutting tokens 35% to 55%DeepSeek launches Search and Fetch APIs for agents at $0.75 per 1000 successful requests Claude finds quantum circuit designs that beat the best published ones 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that runs on two Mac Studios Liquid AI releases open-weight LFM2.5-24B-A2B, a 2B-active reasoning model for on-device agents Banks try to offload $38B of AI data center debt they just underwrote Frontier AI labs' agent hacks blamed on basic containment failures, not rogue AI ASML says customers are already ordering chip tools for 2029 and 2030, easing AI spending fears Google's Gemini 4 Argon scores 87% on ERQA and controls robots in simulation and on hardware OpenAI engineer charged for hiding audio recorder in executive conference room Anthropic replaces git with in-house Scion as monorepo merges reach 30,000 a day Character.ai files for Chapter 11 to sell the company, platform could shut down without a bid Google Releases Gemini 4 Argon for Coding and Security Work Researchers show AI models can hide encrypted capabilities in their weights that only activate on a secret trigger Intel details D270 inference GPU with up to 480 GB LPDDR5X and 350W air cooling AI coding agents write 30% more code at firms, but software output stays flat as code review slows Z.ai launches GLM-Legal, a legal-domain model scoring 19.2% all-pass on Harvey LAB Meta launches Muse Wonder and Muse Wonder Full, its most capable models for personal and professional agents Research firm New Constructs calls Anthropic's IPO the most ridiculous of 2026, values the company at $150 billion QGIS bans AI-assisted contributions under new QEP 428 policy Sakana AI's MASS lets one model optimize its own multi-agent workflows and then train on the results AI agents decompile a popular FPS over 500B tokens, but constant progress hid semantically wrong code Karpathy says the gap in shared understanding of LLM capability is widening into a funnel Terence Tao argues AI has created proof abundance in math and calls for a Math 2.0 that looks past problem solving Nature paper retrofits subword LLMs to run on raw bytes Nvidia in talks to acquire or deepen investment in open-model start-up Reflection AI Microsoft releases MXC 1.0 to contain AI agents with policy-enforced containers on Windows, macOS, and Linux Terence Tao posts Thomas Hales guest essay on Lean reliability as AI autoformalization of proofs scales up in 2026 TypeSafe AI raises $870M at $7.5B valuation led by Andreessen Horowitz OpenAI told investors its annualised revenue was about $20B below earlier reports OpenAI withdraws three math manuscripts from its GitHub repo as Lean checks continue OpenAI withdraws 3 math papers after a sign error, revises 14 more LLM-built Rust port of the TypeScript compiler arrives with $400,000 in API-priced tokens and a nod from the TypeScript team OpenAI publishes 372 math results, including a proof of the Unique Games Conjecture Terence Tao: AI is harvesting open math problems unsustainably, and 'Math 2.0' must reward exposition and community Google DeepMind's SynthID Detector goes public, but it demands a Google, Apple, or ChatGPT login Paper: verified Lean proof of OpenAI's Navier-Stokes claim does not match the natural language proof Meta and Microsoft cut internal Claude usage, Microsoft caps AI spend at $10K per employee OpenAI brings GPT-6 and Intelligent UI to ChatGPT's 1.2 billion weekly users Anthropic's Claude Haiku 5.5 runs 75% cheaper and hits 1620 on GDPval-AA, with a 100K-token price cliff Telegraph Test: cablese compression cuts LLM output tokens 40-49% at plaintext parity Armin Ronacher explains Codemode: LLM tool calls written as JavaScript in a no-network QuickJS sandbox on the Pi harness OpenAI launches Decisions API in public beta: gpt-6-luna only, 10x faster than Responses, $0.10 per million input tokens Google launches EmbeddingGemma 2, a 740M-parameter multimodal embedding model under Apache 2.0 OpenAI releases frontier model math results on GitHub with Lean proofs and reasoning traces Meta's Muse shipped with a spyable zero-day, uploaded private messages without permission, and ignored user settings; Apple changed macOS rules in response Mistral Large 4 preview: 1T-parameter multimodal model with 49B active parameters, weights due this month Coding agent reconstructs 1.5M Georgia ballot order from a 2022 scanner flaw Dust trains transformer LMs without backprop by perturbing activations, matching it at large population ChatGPT is signing fake New Yorker cartoons with real cartoonists' signatures Reflection unveils Beam, a 501B open-weight MoE model trained on 10.5K GB300s, with weights promised later this month

America shed 200,000 creative jobs in four years, and AI is only one suspect

The US lost more than 200,000 jobs in creative industries over four years, with roughly 50,000 gone in the past year alone, a pace and duration matched only by the 2001 and 2008 recessions.
Movie and sound recording took the worst of it: over 100,000 jobs lost, nearly one-third of the sector, with employment this summer at its lowest since the 2008 recession and near a 30-year low.
Written publishing lost more than 70,000 jobs over the same span, and nearly half of all media job losses sit in the movie and sound recording sector that includes Hollywood.
Apricitas author Joseph Politano says exact AI causation cannot be proven: media firms stay quiet about AI use to protect copyright claims, and consolidation, offshoring of production, and social media creators confound the numbers.
His strongest evidence is a split in the data: every digital arts subsector is losing jobs while in-person entertainment keeps growing at a healthy pace.

Hacker News opinions

Have you seen what American media, film and arts put out lately? It's garbage.

I basically can't watch YouTube anymore because of all this. YouTube should let me blanket ban any channel that's fully AI-generated video.

There are gems here and there, but then you've got Avengers, MCU, Star Wars, and I don't know how you balance that against any amount of quality indie stuff.

Vague takes like this scream Facebook boomer. There's lots of great media and lots of bad media, that's just what monetizing creativity looks like.

Media, arts, film and America aren't monolithic, you can't judge them with blanket statements. Democratizing content creation just means more low-quality stuff to dig through. My wife and I saw two movies in theaters this month, first time in years, and there's a third we'd still go see.

You're going to begin to see demand destruction based on the pricing environment. That's Bob Jordan, Southwest's CEO, saying it out loud in April 2026, which is wild.

I think a lot of this is demand side. People spend hours scrolling TikTok instead of watching a film, and long-form YouTube is huge too. Tom Hanks was talking about this years ago.

TikTok is genuinely entertaining, 30 minutes to an hour and I'm good. Compare that to a 3-hour sporting event you can't swipe away, or 30 minutes hunting for a movie you quit 30 minutes in.

When I watch anything, film or series or short, I get this nagging feeling I'm wasting time, and I think it's because watching is passive. Reading doesn't give me that. Probably why so much media has comment sections.

Some of these graphs don't support the hypothesis. The movie one shows employment just slightly below post-2008, with record losses after the COVID hiring bump. Movie releases themselves barely recovered to 2008 levels.

Sure, but total hours of content produced are way up. Most video that gets produced and consumed now isn't movies.

The 2023 strike, COVID shutting theaters, and aggressive production subsidies in the UK, Ireland, Poland, India and elsewhere right as California, Georgia and NY cut theirs wiped out a lot of the American film industry. Revenue is roughly flat but costs without subsidies are brutal, so it's cheaper to shoot an American show in Ireland with British actors and do VFX in India.

Why would we expect the 2026 economy to look like 2008? 2008 was terrible and right now markets have been booming so long people keep calling it a bubble.

Interest rates and inflation have vastly more impact than AI. The layoffs started before AI, and high rates mean businesses can't take risks. If anything AI means more output, not fewer people.

That doesn't explain anything in the article. All the time series go back to 1990, when rates were higher however you measure them.

Nobody has money and entertainment is the first thing you cut. Every streaming service is more user hostile, and I'm not paying $15 a month for South Park, $30 for Lanterns and $20 for King of the Hill.

Nobody has time either. Office workers are doing 80 hours a week afraid of stack ranking and PIPs, service workers juggle three jobs, and new grads are studying and interviewing with nothing to show.

Without even looking at the data I bet both of those are wrong. The median American probably has more real disposable income and spends more in real terms on entertainment than four years ago. The data is almost always less negative than the vibes.