isolation, perception, and communication
Joined June 2023
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so cheap
We're launching a $100,000 challenge to see who can make Muse Spark run fastest: openkernelchallenge.dev/
this is just UBI
And so it continues... Our economic debates seem utterly disconnected from the reality.
That reality: This is an economy mostly creating healthcare jobs, and it does so month after month, and everything else is just noise.
ALT Line chart titled "Effectively all of the net job creation has been in healthcare and social assistance, and jobs are shrinking in the rest of the economy" showing change in non-farm payrolls since January 2025 through September 2026. Healthcare and social assistance added 998,000 jobs with consistent growth throughout the period, while the rest of the economy lost 222,000 jobs, meaning all net job creation came from healthcare. The rest of the economy showed particular weakness from May through August 2025 when losses reached 218,000 jobs. This striking divergence reveals an unusual concentration where one sector's growth of roughly 48,000 jobs per month has offset persistent contraction across all other industries combined.
i built tokentape.io, a Bloomberg-style market terminal for the token economy
market share, price history, provider performance, model listings, detailed stats
~574T tokens last month, average price paid per token down 24%
best viewed on desktop
as if Europe couldn’t look any worse rn
⚛️🇪🇺 Introducing Quasar 1.1 438B, the first AI model using quantum-generated data.
Quasar 438B, the best European AI model, just got a quantum upgrade: Part of its healing set was generated by a hybrid quantum language model running on @IBM Quantum System Two in Donostia-San Sebastián, a 156-qubit IBM Heron processor. It is the first time quantum-generated data enters the CompactifAI pipeline. Quantum computing is not a label on this release, it is part of how the model was built.
Sharper, less verbose, tuned for agentic work and ready for European deployment: served by a European company incorporated under EU law and developed in line with EU regulatory requirements, including the transparency expectations of the EU AI Act.
Readers added context they thought people might want to know
Multiverse Computing's own technical write-up states Quasar 438B is built from GLM-5.2, the open-weights model from Z.ai in China, "REAP'd"/compressed with its own pipeline. Thus, this isn't the "best European model", since it's not European.
multiversecomputing.com/papers/inside-…
one thing the ARC-AGI benchmarks are good for is to quickly visualize who's benchmaxxing. imo DeepSeek and Google are.
any chance we could go back to highlighting the highest scores? like what is the point of highlighting like this
🚀Qwen3.8-Max just got upgraded. Meet Qwen3.8-Max-0902!
2.4T parameters. 1M context tokens. Built for real world complexity.
Further post trained on Coding & Cowork, Qwen3.8-Max-0902 now delivers stronger performance across complex enterprise tasks, scientific research, and long horizon workflows.
💰Pricing per 1M tokens:
$2 input, $6 output.
$0.17 explicit cache hit, $0.25 implicit cache hit.
Now live via API on QwenCloud. Come try it! 🙌
API: qwencloud.com/models/qwen3.8…
hedge fund try to hedge your investments challenge
Situational Awareness, the $20bn hedge fund founded by former OpenAI employee Leopold Aschenbrenner, has sought to raise fresh capital from investors after suffering heavy losses during the recent rout in AI stocks ft.trib.al/SwCjjE6
ALT Leopold Aschenbrenner speaks into a microphone during a video interview, seated indoors near a window and a leafy plant.
i replaced the emulated Xbox 360 GPU in my Skate 3 PC port with a fully native renderer
2x+ the FPS at 1/4 the GPU power, and Apple Silicon went from 25 to 250 FPS at 4K
v2.0.0 is out now for Windows, Linux & macOS - try it below!
5.6 is RL fried to death man. i ask how to install something basic, it looks up the definition of "install" on Merriam-Webster. i ask about HDMI settings on my TV, it looks up an arXiv paper on the HDMI spec.
> Fable 5 | 12% (123.3k / 1.0m) | n/a | n/a | Cache: 2.3m / 283.7k | Cost: $10.79 ($18.06 / h)
fable currently costs more than the minimum wage, interesting inflection point
unclear on the extent to which the models were used to develop the chip.
regardless, the loop is beginning to close
A few thoughts on OpenAI's Jalapeño chip announcement today:
1. This chip is most likely the first one virtually entirely developed by Codex/GPT. Codex with whatever internal coding model (GPT 5.6/6.0 whatever) coded the entire software stack and most likely the hardware design
2. OpenAI will write all of their inference serving in pure Jalapeño ISA (instruction set architecture). Why? They only need to get say a few production models serving on Jalapeño. They can handwrite with Codex the entire model in pure ISA to get very high performance
3. They are most likely running Codex/GPT in custom RL envs to teach the models direct Jalapeño chip programming at ISA level
4. This is a massive cost savings for OpenAI and only possible IMO due to the breakthroughs in agentic coding. An AI company with frontier coding models can now become a hardware vendor with only a small team of experienced SWEs and an infinite amount of tokens
This is the first chip program fully accelerated by frontier AI.