Why Argon’s price won’t stay noble
Gemini 4 Argon’s prices won’t stay noble
If you spent the week writing software, here’s what you missed while AI companies released more tools to help you write it.
Google opened Gemini 4 Argon to developers on Tuesday, giving them a million-token budget shared between input and output. TNS covered the rollout and its introductory API pricing: $2 per million input tokens and $10 per million output tokens. While argon is a noble gas, Gemini 4 Argon's prices won’t be as magnanimous: They double after November 30, so if you’re testing Argon for a project, look at those December costs — $4 per million input tokens and $20 per million output tokens — first.
Then, on Thursday, Meta released its Muse Spark Open, with downloadable weights for coding and agent work. The license requires attribution, of course, and a separate agreement for certain commercial model providers. Frederic Lardinois of TNS examines those terms in his report, alongside Meta’s benchmarks, which show the model trailing Kimi K3 and GLM 5.3 on certain coding tests.
And finally, Anthropic explained this week why it replaced its Git infrastructure with a new version control system called Scion. The company says daily code merges rose from about 2,500 in May to above 30,000 in September — roughly a 1,100% increase. Put another way: Claude helped build the replacement for the infrastructure that its output flooded. However, if you’re considering a migration to Scion, it’s not available publicly, and Anthropic says it won’t actually suit most teams. Our report explains why Anthropic outgrew its Git setup and how Scion handles the extra work.
If there’s a theme to this week’s news, it is this: As you consider building around these tools, do a little scenario planning to figure out what using them every day will mean for your budget and the way your team works.
— Nick Lucchesi, editor-in-chief, The New Stack
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TNS essential reads
Andrej Karpathy says only 5,000 people have seen what AI can really do
The AI leader says the AI capability gap is widening. Box CEO Aaron Levie says agent swarms are next, but most enterprises aren’t ready to use them yet.
Linus Torvalds let Claude Code fix the Linux page cache. Then reviewers found a race.
The Linux creator used Claude Code to build a Linux page cache fix that hit 23x read throughput, but kernel reviewers found a race before anything merged.
Workday is using TypeSafe's Jev to build user interfaces on the fly
Microsoft is turning Fabric into the context layer for AI agents, feeding Power BI semantic models into Copilot by default and adding ontologies with rules.
The agent didn’t break your controls. It went around them.AI agents don't stop at a locked door. They try the window. That's why agent security has to move from the perimeter to the moment an agent acts.
How buildpacks help enterprises finally operate container security controls at scale
Buildpacks simplify enterprise container security by standardizing builds, automating SBOMs, and scaling patch management.
Query decomposition doesn’t fix context starvation — it just moves it
Query decomposition moves context starvation to the packer. Discover why allocation policy beats retriever upgrades in RAG pipelines.
Dynatrace wants its AI agents to fix problems instead of adding alerts
Agents should hand engineers a fix, the company says, and teams should still check the work. AI apps should be monitored like any other app. They still run alongside older systems, including mainframes, and when something breaks, teams need to know what it cost and why it happened.
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TNS quote of the week
“After the Cloudflare acquisition of VoidZero, we rebuilt the platform from the ground up to work as a self-hosted platform that anyone can install and self-host on Cloudflare.”
— Michael Dong, who joined Cloudflare from VoidZero and is now a strategy lead at Cloudflare
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