food-for-thought

EUV Light Source: Is the Future in a Particle Accelerator? - IEEE Spectrum
EUV Light Source: Is the Future in a Particle Accelerator? - IEEE Spectrum
In linear accelerator, injected electrons gain energy from an RF field. Ordinarily, the electrons would then enter a free electron laser and are immediately disposed of in a beam dump. But in an energy recovery linear accelerator (ERL), the electrons circle back into the RF field and lend their energy to newly injected electrons before exiting to a beam dump.
·spectrum.ieee.org·
EUV Light Source: Is the Future in a Particle Accelerator? - IEEE Spectrum
Putin: Leader in artificial intelligence will rule world
Putin: Leader in artificial intelligence will rule world
September 1, 2017
when one party’s drones are destroyed by drones of another, it will have no other choice but to surrender
development of AI raises “colossal opportunities and threats that are difficult to predict now.”
the one who becomes the leader in this sphere will be the ruler of the world.
·apnews.com·
Putin: Leader in artificial intelligence will rule world
Pi, Minimal and Performant | EARENDIL
Pi, Minimal and Performant | EARENDIL
Frontier models are now generally very competent at understanding a terminal (or terminal-style) coding environment, and acting within it. Anthropic recently cutting down Claude Code’s system prompt by 80% is a clear sign of this
·earendil.com·
Pi, Minimal and Performant | EARENDIL
Everyone Should Know SIMD
Everyone Should Know SIMD
SIMD allows a CPU to operate on multiple values in parallel. For example, instead of comparing one byte at a time, a CPU can compare 4, 8, or even more bytes with a single instruction.
·mitchellh.com·
Everyone Should Know SIMD
Harness Engineering for Self-Improvement
Harness Engineering for Self-Improvement
expert-designed harness can coordinate a large portion of auto-research loop, experimented in the form of writing research papers
·lilianweng.github.io·
Harness Engineering for Self-Improvement
AI 2040: Plan A
AI 2040: Plan A
AI companies are racing to build AIs that are smarter than humans in every way. In AI 2027, we predicted that this would result in either extinction or irreversible concentration of power.1Plan A is our positive vision for what should happen instead.
·ai-2040.com·
AI 2040: Plan A
AI 2027
AI 2027
The scenario itself was written iteratively: we wrote the first period (up to mid-2025), then the following period, etc. until we reached the ending. We then scrapped this and did it again.
·ai-2027.com·
AI 2027
What 2026 looks like — LessWrong
What 2026 looks like — LessWrong
Write a future history of 2022. Condition on it, and write a future history of 2023. Repeat for 2024, 2025, etc. (I'm posting 2022-2026 now so I can get feedback that will help me write 2027+. I intend to keep writing until the story reaches singularity/extinction/utopia/etc.)
What 2026 looks like
·lesswrong.com·
What 2026 looks like — LessWrong
AI Model & API Providers Analysis | Artificial Analysis
AI Model & API Providers Analysis | Artificial Analysis
Intelligence vs. Cost per Intelligence Index TaskArtificial Analysis Intelligence Index · Weighted average cost (USD) per Artificial Analysis Intelligence Index task
·artificialanalysis.ai·
AI Model & API Providers Analysis | Artificial Analysis
Everything Is Logarithms
Everything Is Logarithms
Everything is Logarithms
Logarithms are Vectors
·alexkritchevsky.com·
Everything Is Logarithms
Bigger models are not the way
Bigger models are not the way
Moving forward, the industry cannot continue to train bigger and bigger models since their intelligence not only plateaus but often will get worse
GPT-5.5 and DeepSeek V4 Pro are two of the clearest hallucination leaders, despite being absolutely huge. Because of their immense size they simply did not learn how to say “I don’t know”
·arrowtsx.dev·
Bigger models are not the way
Running local models is good now
Running local models is good now
You can do things like change the local context window and watch performance improve or degrade, and really dig into how your tokens are processed on the GPU. You can change the system prompt, the quantizations. You can pit models against each other. You can also change and introspect the harness side. The possibilities are endless, and the tools only keep getting better.
·vickiboykis.com·
Running local models is good now
Axial flux motor - Wikipedia
Axial flux motor - Wikipedia
YASA's 37 kg stackable 750R motor delivers 800Nm and >5kW/kg with an axial length of 98 mm
·en.wikipedia.org·
Axial flux motor - Wikipedia
Liquid droplet radiator - Wikipedia
Liquid droplet radiator - Wikipedia
proposed lightweight radiator for the dissipation of waste heat generated by power plants, propulsion or spacecraft systems in space.
·en.wikipedia.org·
Liquid droplet radiator - Wikipedia
Tokenomics: Quantifying Where Tokens Are Used in Agentic Software...
Tokenomics: Quantifying Where Tokens Are Used in Agentic Software...
Our preliminary findings show that the iterative Code Review stage accounts for the majority of token consumption for an average of 59.4% of tokens. Furthermore, we observe that input tokens consistently constitute the largest share of consumption for an average of 53.9%, providing empirical evidence for potentially significant inefficiencies in agentic collaboration.
·arxiv.org·
Tokenomics: Quantifying Where Tokens Are Used in Agentic Software...
How LLMs Actually Work
How LLMs Actually Work
So what’s actually different between GPT and Claude and Gemini and LLaMA? Public details vary, and the proprietary models do not publish every architectural choice. But at the level this post is covering, they broadly sit in the same transformer-family design space.
·0xkato.xyz·
How LLMs Actually Work
Beyond Benchmarks: Frontier LLM Disagreement on Fact-Checks
Beyond Benchmarks: Frontier LLM Disagreement on Fact-Checks
The twenty claims in this corpus with the widest spread between the highest- and lowest-bucket frontier verdicts. These are claims where the panel doesn't just disagree — it disagrees substantively, with at least one model picking a verdict ≥2 buckets away from another.
·lenz.io·
Beyond Benchmarks: Frontier LLM Disagreement on Fact-Checks
Tree of life (Kabbalah) - Wikipedia
Tree of life (Kabbalah) - Wikipedia
The sefirot are the ten spheres on the Tree of Life. Each sefirah (singular of sefirot) represents a different aspect of the Divine, as well as aspects of human consciousness and existence. These are, from top to bottom
·en.wikipedia.org·
Tree of life (Kabbalah) - Wikipedia
Heisenbug - Wikipedia
Heisenbug - Wikipedia
software bug that seems to disappear or alter its behavior when one attempts to study it
·en.wikipedia.org·
Heisenbug - Wikipedia