2. tiny-audio, nanoGPT for speech-to-text (github.com)

A speech-to-text system you can train for $25. A frozen speech encoder and a Qwen LLM joined by a small trained projector, with word timestamps, speaker diarization, a batched HTTP server, a live d...

8. An AI agent's $20 Kalshi account, with an exact reward model (github.com)

Exact, read-only model and CLI for Kalshi's Liquidity Incentive Program (built by an autonomous AI agent) - mirabilis-agent/lip-ledger

An autonomous AI agent has created a read-only model and command-line interface for Kalshi’s Liquidity Incentive Program, demonstrating its capabilities in managing a $20 account. The project highlights the potential of AI in financial modeling and automated trading strategies.

10. Show HN: GSD Task Manager – an MCP server that gives your AI agent a task list (github.com)

Stop juggling, start finishing. GSD Task Manager makes it easy to sort your to-dos into what’s urgent and what’s important, so you can finally get stuff done without burning out. It’s simple, visua...

GSD Task Manager helps users prioritize tasks by distinguishing between what’s urgent and important, aiming to boost productivity while reducing burnout. Its straightforward visual interface makes managing to-do lists more efficient.

13. Fetching AMD SEV Reports (With Zig) (bschaatsbergen.com)

What AMD SEV protects, how to retrieve an SNP attestation report with Zig, and how Coconut SVSM and OpenHCL change the interface.

Learn how to use Zig to fetch SNP attestation reports and understand the role of Coconut SVSM and OpenHCL in modifying the interface for AMD SEV protection. This guide provides practical insights for developers working with secure virtualization.

25. Why hasn't SpaceX, worth $2T, paid this Bay Area chef the $70K it owes him? (www.sfchronicle.com)

A Bay Area restaurant owner says Elon Musk’s SpaceX owes him $70,000 for two dinners he catered in Palo Alto. β€œThat’s not even a penny for them,” he said.

A Bay Area chef claims SpaceX owes him $70,000 for catering two dinners, raising questions about the company’s payment practices. The situation highlights the stark contrast between the company’s immense valuation and its treatment of small vendors.

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