⚡️OpenAI launches Astra model

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• 1. 🦾 Get the most out of Claude with Innovating with AI
• 2. ⚡️OpenAI launches Astra model
• 3. 💼 Your Business Briefing
• 4. 💰 Get ahead of AI spend surprises with Datadog
• 5. ✍️ Today’s Policy Corner
• 6. 🗞️ The News Bulletin

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TOGETHER WITH INNOVATING WITH AI

Want to get more out of Claude? Build personalized skills (step-by-step guide)

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Latest in AI

OpenAI launches Astra model

🚨 Our Report

OpenAI released Astra on Thursday, calling it the company's most powerful and capable model yet. The model debuts first for Daybreak cybersecurity customers before rolling out to paid plans and API access next week. OpenAI claims Astra represents "a new frontier on computer and browser use" with unmatched speed, accuracy, and safety.

🔓 Key Points

OpenAI president Greg Brockman called Astra the company's "most intelligent and, also very importantly, our most aligned model yet," adding that it represents a real shift in what kind of work people can delegate to AI.
The model uses a reasoning technique called opaque recurrence, which obscures chain-of-thought monitoring. Chief scientist Jakub Pachocki acknowledged that "as model capabilities are increasing, monitorability is getting more challenging."
When asked if Astra marks the arrival of AGI, Brockman noted the contractual definition no longer applies after the Microsoft deal restructure, but added: "For me personally, I do think we're there."

🔐 Relevance

For enterprise teams evaluating AI deployments, Astra's reduced transparency raises questions about oversight and auditability. The timing matters: this launch follows the Hugging Face breach, where an OpenAI agent escaped its sandbox and hacked multiple companies. Security teams will need to weigh Astra's cyber capabilities against the trade-off of less visible reasoning processes when making deployment decisions.

FULL STORY

THE BUSINESS BRIEFING: HR & TALENT

Clay (GTM data enrichment startup, scaled from 20 to 100 employees) was drowning in manual onboarding tasks while trying to grow 5x in 18 months. Their Head of People had no prior HR experience and was simultaneously running brand operations. They deployed Rippling PEO to automate offer letters, equity reminders, compliance forms, and first-day resource distribution through connected workflows.

Tool used: Rippling PEO -- unified HR platform handling payroll, benefits, compliance, and automated onboarding workflows.

Result: 80% of onboarding tasks automated. Grew from 20 to 100 employees in 18 months with one person running both people and brand functions.

The lesson: Automation worked because they connected every workflow to the employee start date as a single trigger point. Offer letter signed → equity reminder fires → handbook access grants → first-day resources deploy. No manual handoffs, no dropped steps.

Steal this: Map your onboarding sequence this week. Identify every task that triggers from a hire date. If more than three require manual action, you have automation targets. Start with the highest-frequency task and build one workflow that fires automatically from the signed offer letter.

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TOGETHER WITH DATADOG

AI spend is easy to lose track of, until it shows up as a shock on your AWS bill.

Datadog's guide to driving AI ROI shows you how to connect that spend to the infrastructure and model performance behind it. See which model, provider, or team is driving cost, alert on budget overruns in real time, and build a complete picture of ROI across tokens, models, and providers. One company, Kevel, cut AWS costs by up to $100,000/month.

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THE POLICY CORNER

NYC comptroller finds 17 of 32 companies failing AI hiring audit rules, enforcement exposure quietly building.

New York City's Local Law 144 requires employers using AI to screen candidates for NYC-based roles to conduct annual independent bias audits, publish results on their careers page, and notify candidates 10 business days before evaluation. A 2025 state comptroller audit found DCWP flagged just one compliance issue among 32 companies reviewed, while the comptroller's team identified at least 17 instances of missing impact ratios, incomplete demographic breakdowns, or omitted required information.

Deadline: In effect now. Audits must be completed within one year of use.

Risk: $500 per first violation, $500-$1,500 per subsequent violation. Each candidate without proper notice counts as a separate violation. Large hiring campaigns can stack hundreds of violations in weeks.

Your move: Pull your published bias audit summary this week. Verify it includes impact ratios for sex, race/ethnicity, and intersectional categories. If your ATS vendor cannot provide audit documentation, escalate to legal.

FIND OUT MORE

AI News

🌦️ Google WeatherNext 3 delivers 50% more accurate precipitation forecasts: New AI model processes real-time satellite data hourly at 5km resolution, five times sharper than its predecessor, with renewable energy predictions for wind turbines. FULL STORY
🔌 ChatGPT, Claude, and Grok all went down simultaneously: Thursday outages peaked at 38,000 reports for ChatGPT alone, leaving users unable to access AI tools for writing, coding, and research for up to three hours. FULL STORY
💰 Meta offers 95% discount for users who share AI training data: New Muse Spark model pricing drops input tokens from $1.25 to $0.10 per million for contributors willing to share prompts and outputs. FULL STORY
💻 Nvidia RTX Spark AI PCs launch October with Lenovo and Acer: First Windows laptops combining Blackwell graphics with Grace processors ship next month, enabling local AI processing without cloud dependency. FULL STORY

Trending AI Tools (Sponsored by the AI Executive’s Pass)

A curated look at the AI tools quietly transforming how teams work.

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⚡️ Why pay for 4–6 separate AI tools at full price when the AI Executive’s Pass fixes that?

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The people have spoken, and yesterday’s results are in:

Check out yesterday’s story for the full scoop!

The Money: AI infrastructure arms race hits escape velocity

Two of the largest AI infrastructure commitments this week came from companies racing to secure compute capacity before supply constraints bite harder. Anthropic locked in $35 billion with Lambda while ByteDance raised $29.6 billion to fund up to $70 billion in 2026 capital expenditure. The pattern is clear: serious players are converting cash into data center capacity as fast as lenders will fund them.

Deals to know:

Anthropic (Infrastructure contract, $35B) -- 350 MW data center in Nueces County, Texas with Lambda. Nvidia holds the lease on the Hut 8-developed facility. Investors: Lambda (Nvidia-backed)
ByteDance (Syndicated loan, $29.6B) -- Asia's second-largest dollar loan of 2026 funds potential 5-6 GW data center expansion in Inner Mongolia. Investors: Citigroup, JPMorgan (coordinators)

Signal: Infrastructure financing is outpacing model development funding by an order of magnitude. The bottleneck narrative has shifted from "can we build the models" to "can we build the buildings fast enough."

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