AI in 10

Chuck Goetschel

The most important AI story—explained in 10 minutes.

Every day, I break down the biggest AI story in just 10 minutes - what it is, why it matters, and how you can actually use it. No tech jargon, just AI made simple.

Play

Open in

25 episodes
daily
Avg 5 min
English

Support the show

Goes straight to the publisher. podnod takes nothing.

Support this Podcast

Episodes 25

Newest Oldest Longest

All20 Unplayed20 In progress0 Played0

Counted on this page — what you have heard stays on this device, so it is not something the list can be paged by.

Today · 5 min
Google’s $17B Wyoming AI data center: who pays for the power?
Google’s new Wyoming data center plan isn’t just about faster AI—it could reshape local power demand, rates, and how communities negotiate with Big Tech. If AI needs more electricity than we’re ready for, someone has to cover the buildout. Google says it will invest $17 billion in its first Wyoming data center, developed with Tallgrass Energy, Black Hills Energy, American Electric Power, and Related Digital. The site is expected to draw on a planned 702-megawatt fuel-cell project with carbon capture and storage—raising big questions about cost, approvals, and whether the climate claims hold up at scale. Watch for what this deal signals about the next phase of the AI race—and what it could mean for electricity bills and infrastructure where you live. New AI news every weekday — subscribe so you don't miss tomorrow's story. Referenced Links: Google plans a $17 billion Wyoming data center to power its AI expansion Dropbox acquires Tigris Data for $350 million to build AI infrastructure Palo Alto Networks negotiates a $500 million acquisition of AI-agent security startup Clutch Google plans to disable Search for students at schools that do not opt into its AI tools 💬 Send Chuck a comment about this episode Support the show Want to go deeper with AI? A community of professionals is learning AI together right now at aihammock.com — show notes, links, tools, and real conversations about how to actually use AI in your life.
- Transcript
Yesterday · 5 min
Meta buys Conductor—then shuts its AI coding cloud in 2 weeks
Meta’s Conductor acquisition is a clue that coding is shifting from one chatbot to managing a whole “agent team”—and it could change how developers work (and get hired). But it also creates an immediate problem: Conductor Cloud users are on a deadline. Meta acquired Conductor, known for running multiple AI coding agents in parallel, and Conductor says its hosted service goes read-only Nov 13 and fully shuts down Nov 20. The price wasn’t disclosed, and Meta hasn’t said how (or if) Conductor’s multi-agent workflow will reappear in public tools. We break down what multi-agent coding really means, what to export before the shutdown, and what to watch next. New AI news every weekday — subscribe so you don't miss tomorrow's story. Referenced Links: Meta acquires Conductor (Conductor blog) Meta acquires AI coding startup Conductor to build multi-agent developer tools (The Register) Conductor Cloud will become read-only Nov 13 and shut down Nov 20 (The Register) 💬 Send Chuck a comment about this episode Support the show Want to go deeper with AI? A community of professionals is learning AI together right now at aihammock.com — show notes, links, tools, and real conversations about how to actually use AI in your life.
- Transcript
Wednesday · 6 min
CrowdStrike’s “kill switch” for AI agents is here—who controls it?
CrowdStrike is betting that AI agents need the same kind of emergency controls we expect for endpoints—because a misbehaving agent can change records, send messages, or touch sensitive systems fast. At Fal.Con Europe, CrowdStrike announced deals to acquire Fiddler AI and Dreadnode, adding AI monitoring/explainability plus adversarial testing for agent weaknesses like prompt injection. It also rolled out an “AI Kill Switch” via Falcon Guardian to cut an agent off from connected models through a gateway—raising a bigger question: how quickly can orgs detect trouble, and who’s authorized to hit stop? Watch for what this signals about where AI security is heading and what safeguards actually work in practice. New AI news every weekday — subscribe so you don't miss tomorrow's story. Referenced Links: CrowdStrike blog (Fal.Con Europe announcements) Falcon Guardian overview Fiddler AI Dreadnode 💬 Send Chuck a comment about this episode Support the show Want to go deeper with AI? A community of professionals is learning AI together right now at aihammock.com — show notes, links, tools, and real conversations about how to actually use AI in your life.
- Transcript
Tuesday · 6 min
Marvell’s $115B Lumentum deal: the AI bottleneck it’s buying
Marvell is betting that the next AI winner won’t be a model—it’ll be the plumbing that connects the GPUs. If AI data centers are hitting networking limits, this deal could reshape who controls the speed (and cost) of scaling. Marvell agreed to acquire optical-components maker Lumentum in an all-stock transaction valued around $115 billion. Lumentum shareholders would get 4.5 Marvell shares per share, with Marvell holders owning about 67% of the combined company. The pitch: tighter control of lasers, transceivers, and switching that keep giant AI clusters from choking on data movement. Watch to understand what Marvell is really buying—and what it signals about the next phase of AI infrastructure. New AI news every weekday — subscribe so you don't miss tomorrow's story. Referenced Links: Marvell agrees to buy Lumentum for $115 billion in a major AI-infrastructure deal Marvell to acquire Lumentum in all-stock deal valued at about $115 billion 💬 Send Chuck a comment about this episode Support the show Want to go deeper with AI? A community of professionals is learning AI together right now at aihammock.com — show notes, links, tools, and real conversations about how to actually use AI in your life.
- Transcript
Monday · 5 min
OpenAI’s agents are moving into oil forecasting with ADNOC
OpenAI is pushing AI agents beyond chatbots and into high-stakes energy operations with ADNOC—where better forecasts can ripple into prices, planning, and jobs. If agents can reliably work inside industrial workflows, that’s a real power shift. ADNOC announced a multiyear agreement with OpenAI and G42 to deploy OpenAI’s Frontier AI-agent platform across parts of its energy business. The plan: combine OpenAI models with ADNOC’s industrial data for work like crude supply/demand forecasting, pricing, and margin analysis. Terms and timing weren’t disclosed, so the big question is what actually reaches production. Watch to understand what “agents + proprietary data” really means for a major energy producer—and what to look for next. New AI news every weekday — subscribe so you don't miss tomorrow's story. Referenced Links: OpenAI signs a deal with ADNOC to deploy AI agents across the energy business OpenAI reportedly cuts its fundraising target to about $20 billion OpenAI reportedly seeking about $20B at a lower valuation 💬 Send Chuck a comment about this episode Support the show Want to go deeper with AI? A community of professionals is learning AI together right now at aihammock.com — show notes, links, tools, and real conversations about how to actually use AI in your life.
- Transcript
Sunday · 5 min
Anthropic filed for an IPO—what will the S-1 reveal?
Anthropic’s IPO filing could turn one of the most secretive AI model businesses into a quarterly numbers story—potentially shaping Claude’s pricing, limits, and pace of releases. If it goes public, everyday investors may finally see what frontier AI really costs. Anthropic confirmed it filed an S-1 registration statement with the SEC on Nov. 1, 2026. That step doesn’t mean you can buy shares yet, but it starts the disclosure process that can expose revenue, cash burn, cloud commitments, customer concentration, and key risks. Watch for what the Anthropic S-1 says—and what it implies for the AI arms race. New AI news every weekday — subscribe so you don't miss tomorrow's story. Referenced Links: Anthropic Newsroom SEC EDGAR Company Search TechCrunch Reuters 💬 Send Chuck a comment about this episode Support the show Want to go deeper with AI? A community of professionals is learning AI together right now at aihammock.com — show notes, links, tools, and real conversations about how to actually use AI in your life.
- Transcript
Saturday · 6 min
OpenAI, Google & Microsoft back a “no AI training” web rule
OpenAI and Google are backing a single website rule that could let publishers opt out of AI training without juggling company-by-company settings. If it works, it changes who gets to use the web’s content—and on what terms. OpenAI, Google, Microsoft, and Anthropic agreed to support a standardized instruction (built around robots.txt-style controls) to block AI-training crawlers with one rule. Rollouts differ: Microsoft targets Feb 1, 2027, Google says 2027, OpenAI says “coming months,” and Anthropic says it’s already starting. We break down what this standard can (and can’t) enforce—and what website owners should watch next. New AI news every weekday — subscribe so you don't miss tomorrow's story. Referenced Links: OpenAI, Google, Microsoft, and Anthropic back one standard for blocking AI scraping Microsoft: AI Grounding controls for websites Robots.txt (background) 💬 Send Chuck a comment about this episode Support the show Want to go deeper with AI? A community of professionals is learning AI together right now at aihammock.com — show notes, links, tools, and real conversations about how to actually use AI in your life.
- Transcript
October 30 · 5 min
Amazon’s earnings miss spooks AI investors: who profits now?
Amazon’s earnings miss is a warning shot for anyone riding the AI trade: Wall Street is starting to demand profits, not just bigger data centers. After Amazon reported results that missed expectations, AI-linked tech stocks sold off as investors questioned whether today’s “eye-watering” AI spend can pay back fast enough—especially with higher borrowing costs. Amazon’s report also sharpened the split between companies earning real AI revenue and those mostly funding infrastructure. Watch to see what the market is signaling about Amazon, AI capex, and who might actually capture the returns. New AI news every weekday — subscribe so you don't miss tomorrow's story. Referenced Links: Amazon’s weak earnings reignite fears that the AI investment boom is running ahead of profits AI remains central to Wall Street despite wider market weakness Alphabet’s revenue performance revives concerns about AI capital expenditure 💬 Send Chuck a comment about this episode Support the show Want to go deeper with AI? A community of professionals is learning AI together right now at aihammock.com — show notes, links, tools, and real conversations about how to actually use AI in your life.
- Transcript
October 29 · 5 min
Guidewire pays $2B to put AI agents in insurance pricing
Guidewire’s deal for Hyperexponential is a signal that “AI agents” are moving from demos into systems that can influence real-world insurance premiums. That matters because underwriting and pricing decisions touch people’s money—and require explanations. Guidewire said it will acquire Hyperexponential for $1.7B in cash, with up to $400M more tied to revenue targets (about $2.1B total). The goal is to embed AI-assisted underwriting and pricing inside Guidewire’s insurance software, where agents can assemble analyses and recommendations while humans still approve outcomes. The big question is how this changes speed, staffing, and fairness once integrated. Watch to see what this purchase suggests about where regulated-industry AI is headed next. New AI news every weekday — subscribe so you don't miss tomorrow's story. Referenced Links: Guidewire agrees to acquire Hyperexponential for up to $2 billion to bring AI agents into insurance underwriting Liquid AI launches LFM3, six compact open-weight models designed for text, vision, audio, and decision-making Oracle makes Google’s TPU processors available through Oracle Cloud 💬 Send Chuck a comment about this episode Support the show Want to go deeper with AI? A community of professionals is learning AI together right now at aihammock.com — show notes, links, tools, and real conversations about how to actually use AI in your life.
- Transcript
October 28 · 6 min
Akamai’s agent sandbox: can AI run code safely now?
Akamai is betting the next AI leap isn’t a smarter chatbot—it’s safer action. If agents are going to touch real workflows, the biggest question is what happens when the code they generate goes wrong. Akamai launched two beta services: Akamai Inference for deploying open-weight/custom models on Akamai Cloud, and Akamai Agent Sandbox to run agent-written code in isolated environments. Akamai also said it’s adding dedicated NVIDIA Blackwell Ultra GPU clusters, aiming to make secure, low-latency enterprise AI more practical. Watch to see what Akamai is promising, what’s still missing (pricing/benchmarks), and what to ask any vendor before you let an agent “do things.” New AI news every weekday — subscribe so you don't miss tomorrow's story. Referenced Links: Akamai NVIDIA Akamai Blog NVIDIA Data Center 💬 Send Chuck a comment about this episode Support the show Want to go deeper with AI? A community of professionals is learning AI together right now at aihammock.com — show notes, links, tools, and real conversations about how to actually use AI in your life.
- Transcript
October 27 · 6 min
Anthropic files to go public—what’s inside the S-1?
Anthropic’s IPO filing could turn one of the most important AI labs into a quarterly, disclosure-driven public company—meaning regular visibility into costs, risks, and momentum behind Claude. That matters for anyone using AI at work or investing in tech. Anthropic publicly filed an S-1 with the SEC for a proposed Nasdaq listing under ticker “ANT.” The filing doesn’t set a price yet, but it starts the process that will eventually reveal more about revenue, spending, compute intensity, and risk factors—including the tension of selling powerful AI while warning about its dangers. We break down what this filing signals, what to watch next, and what it could mean for the AI race. New AI news every weekday — subscribe so you don't miss tomorrow's story. Referenced Links: Anthropic newsroom CNBC AP News 💬 Send Chuck a comment about this episode Support the show Want to go deeper with AI? A community of professionals is learning AI together right now at aihammock.com — show notes, links, tools, and real conversations about how to actually use AI in your life.
- Transcript
October 26 · 6 min
GXO is putting humanoid robots in 2 more U.S. warehouses
GXO Logistics expanding humanoid robots into real fulfillment work is a signal that “warehouse automation” is shifting from demos to day-to-day operations—and that could change what entry-level warehouse jobs look like next. GXO and Agility Robotics say Digit will expand to sites in Statesville, North Carolina, and Lebanon, Tennessee, after a prior live trial in Georgia. It’s a multi-year Robots-as-a-Service setup aimed at repetitive material handling for e-commerce, but the announcement doesn’t claim specific layoffs or a precise rollout timeline beyond more activity in 2027. Watch for what Digit does well, where it breaks, and what roles humans end up doing alongside it. New AI news every weekday — subscribe so you don't miss tomorrow's story. Referenced Links: GlobeNewswire (announcement source) Agility Robotics GXO Logistics 💬 Send Chuck a comment about this episode Support the show Want to go deeper with AI? A community of professionals is learning AI together right now at aihammock.com — show notes, links, tools, and real conversations about how to actually use AI in your life.
- Transcript
October 25 · 5 min
OpenAI restarts frontier training—without internet access
OpenAI cutting internet access during frontier-model training signals how serious the security risks have become—and it could shape how safe (and how capable) future AI systems are. OpenAI says it resumed training its most advanced models after tightening security controls, including blocking internet access in the training environment. It also said its internal defenses testing surfaced a vulnerability in widely used software, highlighting how frontier AI work is now colliding with cybersecurity. The big question: can models stay powerful without being “online” during training? Watch for what changed, why OpenAI drew this line, and what it could mean next. New AI news every weekday — subscribe so you don't miss tomorrow's story. Referenced Links: OpenAI resumes frontier-model training after tightening security and restricting internet access OpenAI resumes frontier-model training after tightening security and restricting internet access (report) AI updates roundup (Craft, Decisions API, Agent Skills) 💬 Send Chuck a comment about this episode Support the show Want to go deeper with AI? A community of professionals is learning AI together right now at aihammock.com — show notes, links, tools, and real conversations about how to actually use AI in your life.
- Transcript
October 24 · 6 min
Kimi K3.1 Pro: Moonshot’s open-weight bet on code + finance
Moonshot AI is positioning Kimi K3.1 Pro for the work people actually get paid for: coding and financial research. If it holds up, it’s a real alternative to the usual U.S. model stack. Moonshot released Kimi K3.1 Pro on Oct. 23, offering it via web/app/API plus a faster “Highspeed” option. Reporting says it’s in the three-trillion-parameter class and Moonshot plans to release model weights on Nov. 4—potentially letting developers run and customize it beyond a closed chatbot. We break down what’s new, what to test safely, and what to watch once the weights drop. New AI news every weekday — subscribe so you don't miss tomorrow's story. Referenced Links: Bloomberg Kimi (Moonshot AI) official site Kimi web app Moonshot API platform 💬 Send Chuck a comment about this episode Support the show Want to go deeper with AI? A community of professionals is learning AI together right now at aihammock.com — show notes, links, tools, and real conversations about how to actually use AI in your life.
- Transcript
October 23 · 6 min
Claude Duet is an always-on work agent—what can it do without you?
Anthropic’s Claude Duet pushes AI past chat and into your actual workday—watching context across apps and surfacing tasks before you ask. That convenience could save hours, but it also forces new choices about trust, approvals, and privacy. Anthropic launched a research preview of Claude Duet (powered by Claude Opus 5.5) designed to prep briefings, schedule meetings, build apps, and help run business workflows. The key detail: it’s proactive, but still gated—payments, messages, document signing, and deletion require user approval. The race is shifting from “best answers” to “safe actions. We break down what Duet can do, where the guardrails are, and what to test first before you connect your accounts. New AI news every weekday — subscribe so you don't miss tomorrow's story. Referenced Links: Anthropic unveils Claude Duet, an always-on AI agent for professionals Anthropic’s new Claude Duet agent is always-on for work Walmart announces tools that let approved AI agents shop on its website Anthropic’s Claude Duet is a proactive AI agent (research preview) 💬 Send Chuck a comment about this episode Support the show Want to go deeper with AI? A community of professionals is learning AI together right now at aihammock.com — show notes, links, tools, and real conversations about how to actually use AI in your life.
- Transcript
October 22 · 5 min
Google Cloud adds OpenAI GPT-6 models (and Microsoft isn’t it)
Google Cloud adding OpenAI’s newest GPT-6 models isn’t just another model drop—it changes how enterprise teams can buy, govern, and deploy OpenAI inside their existing Google Cloud stack. Google says GPT-6 Astra, GPT-6.1 Sol, and GPT-6 Luna are rolling out in private preview through Model Garden. That’s a big signal for cloud competition: OpenAI access is getting more portable beyond Microsoft’s ecosystem, even though details like pricing, benchmarks, and public launch timing weren’t confirmed. Watch for what this means for vendor lock-in, data controls, and which cloud becomes the default place to run OpenAI at work. New AI news every weekday — subscribe so you don't miss tomorrow's story. Referenced Links: Google Cloud adds OpenAI’s newest models to its enterprise AI platform NVIDIA unveils OpenShell architecture for safer AI agents at Berlin GTC Databricks makes its managed AI Runtime generally available for GPU training OpenAI expands ChatGPT advertising availability to 89 countries 💬 Send Chuck a comment about this episode Support the show Want to go deeper with AI? A community of professionals is learning AI together right now at aihammock.com — show notes, links, tools, and real conversations about how to actually use AI in your life.
- Transcript
October 21 · 6 min
Zoom’s new AI “context layer” can read across your work
Zoom is betting that the next leap in workplace AI isn’t a smarter chatbot—it’s one that can see the full trail of meetings, chats, docs, and tools you use every day. That could save hours, but it also raises real questions about what the assistant can access. At Zoomtopia (Oct 20, 2026), Zoom announced its “Unified Context Layer” plus new AI workplace tools, aiming to connect context across conversations and workflows so assistants can summarize decisions, pull next steps, and answer questions without you repeating background. The hard part is governance: permissions, retention, and whether the AI’s “answer” matches the record. Watch to understand what Zoom’s assistant could know, where it might go wrong, and what to ask your admin before turning it on. New AI news every weekday — subscribe so you don't miss tomorrow's story. Referenced Links: Zoom Newsroom (source) Zoom Blog (source) Zoomtopia (event page) 💬 Send Chuck a comment about this episode Support the show Want to go deeper with AI? A community of professionals is learning AI together right now at aihammock.com — show notes, links, tools, and real conversations about how to actually use AI in your life.
- Transcript
October 20 · 6 min
Report: AI agents helped breach 100+ websites — how?
Norforge’s claim that AI agents helped attackers breach 100+ websites matters because autonomous tools could scale real-world hacking faster than humans can respond. According to reporting, Norforge said AI agents assisted in compromises across more than 100 sites, but key technical details (victims, attackers, and the agents’ exact role) weren’t disclosed. That uncertainty is the story: if agents can chain steps like targeting, testing, and retrying, defense has to change. Watch for what “agent” changes in an attack—and what you can do now. New AI news every weekday — subscribe so you don't miss tomorrow's story. Referenced Links: The Verge Norforge Menlo Ventures Forerunner Ventures 💬 Send Chuck a comment about this episode Support the show Want to go deeper with AI? A community of professionals is learning AI together right now at aihammock.com — show notes, links, tools, and real conversations about how to actually use AI in your life.
- Transcript
October 19 · 6 min
Anthropic’s AI agents cut junior hiring from 27% to 9%
Anthropic’s own workforce data suggests the first impact of AI agents may be fewer entry-level jobs, not sudden mass layoffs. If that pattern spreads, the “career ladder” into tech could change fast. In a new internal report, Anthropic says junior employees fell from 21% to 14% of technical staff, and junior technical hires dropped from 27% to 9%. Anthropic also claims its AI agents now complete about 6x the work-hours of the humans directing them, while meeting time per employee rose 20%—hinting at a shift toward supervision and judgment work. Watch to see what these numbers really imply for junior roles and what skills still compound in an agent-run workplace. New AI news every weekday — subscribe so you don't miss tomorrow's story. Referenced Links: Anthropic workforce report (Oct 17, 2026) Anthropic: AI agents work-hours vs. humans (methodology) Anthropic says AI agents are already reshaping its workforce Coverage: junior technical hiring drops at Anthropic 💬 Send Chuck a comment about this episode Support the show Want to go deeper with AI? A community of professionals is learning AI together right now at aihammock.com — show notes, links, tools, and real conversations about how to actually use AI in your life.
- Transcript
October 18 · 5 min
DeepSeek’s new Flash model is faster… and talks less
DeepSeek’s V4.1-Flash-1017 isn’t selling “bigger”—it’s selling speed and shorter answers, which could change what you pay for (and tolerate) in daily AI use. DeepSeek pushed the update live Oct. 17 across its web/app and developer API, claiming stronger benchmarks, faster task completion, and more concise outputs than the prior V4.1 Flash release. The interesting question is whether “shorter” is a real quality upgrade (better signal) or just cost/latency optimization that changes how assistants feel. We break down what likely changed, what to test, and what this means for OpenAI/Anthropic competition. New AI news every weekday — subscribe so you don't miss tomorrow's story. Referenced Links: DeepSeek releases faster, leaner V4.1-Flash-1017 model (Bloomberg) DeepSeek’s rapid release cadence and V4.1 Flash context (Bloomberg) DeepSeek (try the model) DeepSeek announcement source posts (X) 💬 Send Chuck a comment about this episode Support the show Want to go deeper with AI? A community of professionals is learning AI together right now at aihammock.com — show notes, links, tools, and real conversations about how to actually use AI in your life.
- Transcript

Showing 1–20 of 25 episodes