Google's Antigravity now gives paid AI Pro and Ultra users Claude Opus 5.5 and Sonnet 5.5. Small local models and cheaper cached prompts also give builders new levers on agent spend.
Strands Decider 2B1 is built to choose an agent's next action in about 115 milliseconds on local hardware. With llama.cpp support, teams can handle routine branching on their own machines and save frontier API calls for harder steps.
Source: venturebeat.comCached input reads on the OpenAI API cost roughly 90%2 less, which adds up fast for agents that resend the same context. The savings depend on every request opening with a large, stable block, and they only show up once the invoice arrives.
Source: producthunt.comAn FAA Part 135 air carrier certificate lets DoorDash run drone delivery under its own name for orders 3 to 5 miles away. Human Dashers keep the shorter and trickier drops.
Google's Antigravity now offers Claude Opus 5.5 and Sonnet 5.5 to paid Google AI Pro and Ultra users. Claude 4.6 and GPT-OSS-120b3 are removed on November 2, 2026.
Why it mattersAntigravity users with workflows pinned to retiring models, including GPT-OSS-120b3, must migrate before November 2, 2026, and should rerun coding evals on Sonnet 5.5 first.
Continue readingReuters reports that Ukraine plans to hit Russian oil refineries in response to Moscow's new airstrike doctrine, while Kyiv also tries to close a $27 billion4 defense budget gap.
Market sentiment reads Greed, a sign that risk appetite currently outweighs caution among investors.
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Join the founding list →Apple is reportedly developing an AI security camera, codenamed J450, that records no video and gives users text descriptions of activity in and around the home, according to Bloomberg's Mark Gurman on his Power On podcast. The device reportedly relies on a low-frame-rate sensor.
Tavus released Griffin, which it calls its first Human Interaction Model; it reads a speaker's expressions, tone, gestures and timing in real time to hold face-to-face conversations. Tavus claims Griffin fooled 48%7 of people who talked to it into believing it was a real person, and its demo passed 5 million views.
Source: archive.superhuman.ai
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OpenAI now discounts the tokens your agent resends on every call, which turns prompt order into a line item on your bill.
Roughly 90%2 off cached input reads makes OpenAI's API a real cost lever for long-running agents, provided each request opens with a large, stable section. The catch is that savings only appear on the invoice, and community posts argue the headline input price hides the real blend. High-volume agent teams should restructure now; teams sending one-off prompts will see little change.
Reviewers call the models fast and reliable, with solid APIs and documentation that make getting started simple.Paraphrased · Product Hunt
Chatzy AI is a conversational engagement platform for building, training, and deploying no-code AI agents across a website, WhatsApp, SMS, and other channels. Start by training one agent on your most common customer questions and deploying it on a single channel. Compare its answers against your support logs before you expand to other channels.
Try itUnified.to published more than 100 SKILL.md integration instructions that tell coding agents how to connect to SaaS tools. It also added a typed GenAI Task object for tracking cloud-agent jobs and centrally managed authorization controls. Point your agent at the skill file for the integration you need, so OAuth setup follows one standard pattern. Then use the Task object to log what each agent run actually did.
Try itCopilot code-review requests are generally available through GitHub's REST and GraphQL APIs, with selectable effort levels. Wire a CI step that requests a low-effort review on every pull request and a high-effort review only on PRs that touch sensitive paths such as auth or payments. You can also surface the results in an internal developer portal for organization-wide triage.
Try itCodex now supports voice-driven CLI control, reusable development environments, background cloud tasks, and an /agents view for managing delegated work. Define one reusable environment for your repo, then hand off independent jobs such as test coverage and a small refactor as background tasks. Review each result in /agents before merging.
Try itDescription. Strands Decider 2B1 is an open source, small, decision model.
github.com[App] Model picker shows duplicate GPT-5.6-Terra because codex-auto-review is exposed as Terra35493. New issue New issue Description. duarbdhks Summary. The Codex Desktop model picker shows GPT-5.6-Terra twice.
github.comReceipts come from the Firecrawl Developer Index (READMEs, docs, issues, merged PRs), first-party sources only. Quotes are verbatim.
Route routine choices locally. Load Strands Decider 2B through llama.cpp and point your agent's simple branch decisions at it, escalating only uncertain calls to a frontier model.
Front-load your stable context. Move system instructions and tool schemas to the very top of every OpenAI API request so the cached-read discount applies, then compare a week of invoices against the prior week.
Trial a free open-weights coder. Run Ling-3.1-flash on OpenCode against a few real tasks from your backlog and log where it holds up and where it breaks.
Google's Antigravity reshuffle shows that hosted model menus change on the vendor's schedule. A small local decider like Strands Decider 2B1 and OpenAI's discounted cached reads let you keep the expensive frontier model for the steps that need it, which makes the next swap less painful. Build your agents so the routing layer is yours and the top model is a setting you can change in one place.
Source: venturebeat.comMethod names the computation path behind the row, from a closed vocabulary: as published, yfinance close, 03B search corroboration, 04R dossier scoring, not recorded.
A figure is money, a percentage, a spelled magnitude, a multiple, a rate carrying its unit, a score over its denominator, a thousands separated number or an index close. Bare integers and years are not counted, so a phrase like "over 100 integrations" carries no mark. A chart's own scale line is the axis of the level above it and is counted once, with that level.
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