"Inkling" Open-Weights AI Model

Inkling is a flagship, open-weight artificial intelligence model developed by Thinking Machines Lab, a startup founded by former OpenAI CTO Mira Murati. It is a massive model designed as a "balanced generalist" across reasoning, coding, and multimodal tasks. [1, 2, 3]

 Inkling: Our Open-Weights Model - Thinking Machines Lab

• Architecture & Parameters: A Mixture-of-Experts (MoE) transformer featuring 975 billion total parameters and 41 billion active parameters, supporting up to a 1M token context window.

• Multimodal Capabilities: Pretrained on 45 trillion tokens of text, images, audio, and video using an encoder-free architecture for native vision and speech processing.

• Controllable Thinking Effort: Allows developers to adjust the model's reasoning effort (from 0.2 to 0.99) to balance performance against cost and latency.

• Agentic Tool Use & Coding: Performs strongly on agentic benchmarks (such as SWEBench and Terminal Bench) and supports browser use, code generation, and multi-step tasks.

• Calibrated Epistemics: Trained using RL against proper scoring rules to improve factual accuracy, calibration (confidence estimation), and resistance to censorship without over-refusing benign prompts.

• Customization & Availability: Released with open weights on Hugging Face and integrated into the Tinker platform for fine-tuning, alongside a preview of a lighter Inkling-Small model (12B active parameters).

History of Car Industry: Honda Civic + CR-V

 How Just One Car Destroyed America's Car Industry - YouTube

This video details how Honda's engineering innovation, specifically the CVCC engine, shattered the dominance of the American automotive industry by forcing a shift in emissions standards and exposing the lack of credibility among the "Big Three" (General Motors, Ford, and Chrysler).

Key Points:

• The Emission Challenge (4:42 - 5:51): The Clean Air Act of 1970 set strict 90% emission reduction targets. Detroit executives publicly claimed these standards were technically impossible to meet, seeking delays and opposing innovation.
• Honda's CVCC Solution (8:38 - 10:22): Honda engineers solved the "combustion paradox"—balancing clean burning with power—by developing the Compound Vortex Controlled Combustion (CVCC) system. This simple, effective pre-chamber design allowed their engines to run lean while remaining efficient.
• Proving Detroit Wrong (15:09 - 16:30): To silence critics, Soichiro Honda purchased a 1973 Chevrolet Impala, modified it with CVCC technology, and had it pass the EPA's rigorous emission tests. This public demonstration proved that Detroit’s claims of impossibility were false, permanently damaging their credibility.
• The Market Shift (19:39 - 22:32): During the 1973 oil crisis, consumers abandoned fuel-thirsty American cars for efficient, reliable options like the Honda Civic.
• The Long-Term Consequences (26:31 - 34:14): Detroit's refusal to adapt and their focus on short-term financial gains over engineering quality led to a long-term loss of consumer trust. This eventually culminated in the 2009 bankruptcy of General Motors and Chrysler, as they were unable to compete in a market they had previously ignored.

HONDA Models, Photos, Specs & Engines (1963-Present) - autoevolution

this direct descendant of Honda Civic is now #1 selling car 

Ford F-150 Is No Longer America's Bestseller - autoevolution

2023 Honda CR-V Specs, Performance & Photos - autoevolution

AI Bubble "Pop" in Korea?

This is not a sustainable situation with stock market, and i South Korea it was even worse for "leveraged investing" techniques. In fact SAME as before 1929 stock market crash in USA, just WORSE. 

 South Korea’s AI Bubble Just Popped - YouTube

Finance creator Andrei Jikh explores the growing financial risks in South Korea surrounding retail investment, extreme leverage, and tech/AI speculation. The video details how South Korean retail investors (often called "ants") heavily leveraged their savings into high-risk AI-related stocks and leveraged ETFs, and examines the economic fallout and systemic vulnerabilities created as market corrections hit.

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Key Points

• Extreme Retail Leverage ("Ants"): A massive wave of South Korean retail investors turned to leveraged financial products and debt-backed stock trading, hoping AI tech stocks would build generational wealth.

• Proliferation of Leveraged ETFs: Financial regulators (like Korea's Financial Supervisory Service) face backlash for approving high-volatility, leveraged ETFs that amplified market downturns and sparked widespread individual losses.

• The "K-Pop" AI Bubble: Over-hyped valuations in semiconductor and tech supplier sectors created a hyper-concentrated bubble. When AI capital expenditure expectations slowed or shifted, market drops triggered cascading liquidations.

• Broader Economic Risk: Beyond individual losses, high margin debt and household debt in South Korea pose severe risks of a deeper recession, pulling down broad indices like the KOSPI during market pullbacks.

• Systemic Warnings: The video draws parallels between South Korea's aggressive retail trading environment and broader global tech/AI market hype, warning of what can happen when speculative margin trading meets volatile growth cycles.

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US market "balance" is just slightly less exposed than Korea's before this crash.