In this "Input/Output" episode of the Inside Java Podcast, Nicolai Parlog talks to Martin Chalupa and John Rose about Java's ahead-of-time capabilities and how Netflix's training run approach is the ideal one.

🚨 GPT-6 Sol is HALF the price of GPT-5.6 Sol. Standard API pricing per 1M tokens (input / output): Sol: $4 / $20 → $2 / $10 Luna: $0.20 / $1.20 → $0.10 / $0.50 That’s 50% cheaper input and nearly 60% cheaper output for Luna.

most people forget there are two vectors to optimize for to reduce model cost: 1) reducing the input/output costs, increasing cache hit rates, batching etc 2) packing more intelligence per token (fewer tokens for same task) inference cost = price per token × tokens per task optimizations around the second is underrated and something we’ll only see more of. compression and concision is intelligence.

- Anthropic released Claude Opus 5.5 on September 22, 2026, matching Claude Fable 5.1 performance at 40% lower cost than Opus 5. - Model shows strongest alignment scores in Anthropic's behavioral audit and improved resistance to prompt injection attacks. - Input/output tokens priced at $4/$20 per million (20% cheaper), cache reads at $0.20 per million (60% cheaper); generation speed improved over 30%. > Opus 5.5's substantial cost reduction and efficiency gains (particularly 60% cheaper cache reads) could accelerate adoption of Claude for agent-based and coding workloads in AI infrastructure, while its improved alignment metrics suggest Anthropic is maintaining safety focus alongside capability scaling.

Deepseek V4.1 Flash 552B total, 8/16B active with a new arch trained on 45T tokens, there are different active parameters for input/output tokens with the encoder/decoder arch, engram, new sparse attention, new mHC, native vision very high benchmarks (beating K3), insane efficiency, and as always amazing tech report this is probably the most novel arch i've seen in a while, pretty insane

What is Midnight? Midnight (@MidnightNtwrk) officially launched its mainnet in March 2026 after years of development by Input Output. Midnight is designed to bring programmable privacy and zero-knowledge technology to the Cardano (@Cardano) ecosystem. Unlike Cardano, Midnight runs its own ledger, consensus mechanism and smart contract environment. (1) Midnight uses zero-knowledge proofs to let applications verify information without exposing the underlying private data. (2) It introduces programmable privacy, allowing developers to decide which information stays private and which data becomes publicly verifiable. (3) Midnight also separates its capital asset from transaction costs. NIGHT is a utility token that generates DUST, the shielded resource actually spent on transactions. Governance is a planned future role for NIGHT, not its defined one today. (4) NIGHT is connected to Cardano through its partner-chain model, with the token existing across both Cardano and Midnight. So is Midnight a rival to ADA? Not really. Midnight is designed as a complementary network that expands what the Cardano ecosystem can offer. Cardano remains focused on its core blockchain, while Midnight targets privacy-heavy use cases such as regulated DeFi, identity and institutional applications. The bigger question is whether Midnight can turn Cardano’s privacy ambitions into real-world adoption. Midnight describes itself as a Cardano partner chain, not a Layer 2 or replacement for Cardano. Its transactions operate independently, while interoperability connects the two ecosystems. DUST regenerates roughly every seven days based on how much NIGHT a holder has, which keeps transaction costs predictable over time.