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The firehose · ~300 posts a day

Most of it is noise.

Show HN: another RAG wrapper10 prompts that will change…BREAKING: model X is insanegm buildersr/singularity megathreadis AGI here yet (part 47)newsletter #312subscribe for morehot take: agents are deadv0.0.3-alpha.2 releasedShow HN: another RAG wrapper10 prompts that will change…BREAKING: model X is insanegm buildersr/singularity megathreadis AGI here yet (part 47)newsletter #312subscribe for morehot take: agents are deadv0.0.3-alpha.2 released
RT if you agreemy SaaS hit $4 MRRthe ultimate guide to…why we migrated againsponsored: buy my coursethread 1/27quick question for devsleaked benchmark??day 88 of buildingthis changes everythingRT if you agreemy SaaS hit $4 MRRthe ultimate guide to…why we migrated againsponsored: buy my coursethread 1/27quick question for devsleaked benchmark??day 88 of buildingthis changes everything
What reaches you · the 1% that matters
LaunchesAnthropic · 2h

Anthropic ships Claude Fable 5, a 1M-token reasoning model

Claude Fable 5 is Anthropic's new top-tier reasoning model for long-horizon agents and research, with a 1M-token context window. It is priced at $15 per million input tokens and $75 per million output, and ships on the Anthropic API, Bedrock and Vertex.

  • 1M-token context for long-horizon agents and whole-codebase work
  • Premium output pricing ($75 per 1M) — meter agent loops before a broad rollout
#frontier-models#agents#pricing

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SecurityUnit 42 · 3h

Indirect prompt injection moves from demo to in-the-wild attacks

Researchers documented the first large-scale indirect prompt-injection campaigns, hiding instructions inside content that agents ingest. The durable fix is isolating the 'lethal trifecta' of private data, untrusted content and an outbound channel.

#prompt-injection#agents#owasp
Tools & FrameworksvLLM · 4h

vLLM 1.0 ships with disaggregated prefill

vLLM reached 1.0 with disaggregated prefill and decode, letting operators scale the two phases independently for better throughput under mixed load. A notable step for teams self-hosting high-traffic inference.

#inference#mlops#throughput
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