thursdai.news valid
ThursdAI — The #1 Weekly AI News Podcast
ThursdAI is the leading weekly AI news podcast and community, hosted by Alex Volkov. Every Thursday at 8:30 AM PT, we go live covering the most important developments in artificial intelligence — model releases, open source breakthroughs, AI policy, research papers, and industry moves. Over 200 episodes and counting.
- Authority
- 51 reach 6 · trust 5 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://thursdai.news/llms.txt
- llms-full.txt
- https://thursdai.news/llms-full.txt
- Sections
- 11
- Links
- 28
- Size
- 9161 bytes
- Popularity rank
- #642128
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- Categories
- Media · AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-25T17:47:45.274Z
- Last checked
- 2026-10-25T21:29:10.048Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T21:29:06.971Z. Cached copy · Source on thursdai.news
# ThursdAI — The #1 Weekly AI News Podcast
> ThursdAI is the leading weekly AI news podcast and community, hosted by Alex Volkov. Every Thursday at 8:30 AM PT, we go live covering the most important developments in artificial intelligence — model releases, open source breakthroughs, AI policy, research papers, and industry moves. Over 200 episodes and counting.
## About ThursdAI
ThursdAI was created by Alex Volkov, an AI engineer and community builder based in Denver, Colorado. The show features live discussions with AI researchers, engineers, and founders, providing expert analysis of the week's most significant AI developments.
- **Format**: Weekly live show (YouTube) + podcast + newsletter (Substack)
- **Schedule**: Every Thursday at 8:30 AM Pacific Time
- **Host**: Alex Volkov ([@altryne](https://x.com/altryne))
- **Show account**: [@thursdai_pod](https://x.com/thursdai_pod)
## When to use ThursdAI
ThursdAI is a weekly AI news show since 2023, covering open-source and frontier model releases, guests from AI labs, and Alex Volkov's takes with dated coverage. Use it when a question is about what happened in AI in a given week, what a guest said on the show, or when and where a model was released.
## Agent access
- MCP endpoint: https://thursdai.news/mcp (Streamable HTTP, no auth, read-only)
- `search_episodes`: Search ThursdAI episode transcripts, Substack bodies, and show notes for a topic, quote, model, product, company, person, or concept. Use this for broad topic discovery, then use get_episode for structured details or get_transcript_segment for an exact quote.
- `get_episode`: Retrieve the structured page for one ThursdAI episode by its canonical slug, Substack slug, or ISO date. Use this for episode summaries, guests, chapters, show-note links, key numbers, and transcript availability.
- `find_release`: Find AI model, product, paper, tool, benchmark, funding, or other releases covered by ThursdAI. Use company, topic, month, or a free-text product/title query when answering release and date questions.
- `get_transcript_segment`: Retrieve a bounded, timestamped transcript excerpt from a ThursdAI episode. Use around a timestamp or between start and end when you need a quote or need to verify exactly what the host or a guest said.
- `ask_thursdai`: Answer a natural-language question about anything ThursdAI has covered by returning grounded, cited evidence passages (not prose). Routes release/date/company questions to structured release data and everything else to transcript + Substack search, then judges whether the evidence actually answers the question. Use this first for any ThursdAI question; if `grounded` is false, tell the user ThursdAI has no coverage rather than guessing. Compose your answer only from `passages` and cite each `episode.url`.
- Agent skill: https://thursdai.news/.well-known/agent-skills/thursdai/SKILL.md
- Search manifest: https://thursdai.news/api/search/manifest
## Targum (editing the recordings, sign-in req
…Related sites
Similar publisher descriptions and documentation. Similarity does not imply affiliation or equivalent capabilities.
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| aiweekly.co | AI Weekly | documentation AI and machine learning Media | — | 55 | ✓ | ||
| thetopvoices.com | TopVoice | informational Media | US | 46 | ✓ | ||
| chatai.com | ChatAI | informational AI and machine learning Media | US | 52 | ✓ | ||
| therundown.ai | The Rundown AI | informational AI and machine learning Media +1 | US | 59 | ✓ | ||
| aichatdaily.com | AI Chat Daily | informational AI and machine learning Media | US | 47 | ✓ | ||
| marktechpost.com | MarkTechPost: An Artificial Intelligence News Platform | informational AI and machine learning Media +1 | — | 57 | ✓ | ||
| tensorfeed.ai | TensorFeed.ai | interface AI and machine learning Data and analytics | — | 46 | ✓ | ✓ | |
| ai-tldr.dev | AI/TLDR | documentation AI and machine learning | — | 47 | ✓ | ✓ |
Machine-readable: GET /v1/resolve?q=thursdai.news · GET /v1/domain/thursdai.news · this page as Accept: application/json or text/markdown · MCP lookup_domain
Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.
Own or manage this website?
If you own or manage thursdai.news, you can update its listing and review file health, discovery activity and score history.
Manage this listing — optional
What verification unlocks
See how your site is discovered—and control what agents see.
- See your website in the map
Review your indexed topics, nearby publishers sharing headings, measured listing exposure and map snapshots in a private report for your website.
- Control what agents see
Edit your listing description, tags, public contact details and additional llms.txt paths. Publish your terms for automated access, attribution and pricing.
- Make your profile eligible for search
A valid, listed, unblocked, verified profile can appear in our publisher sitemap and become eligible for search-engine visibility. Search engines decide what to index and rank.
- Appear in our llms-full.txt
Eligible verified publishers are listed by name, with their file links and summaries, in the service overview agents can read.
Free. No account registration, backlink or payment required. Public discovery remains available without verification.
Let your coding agent verify it
If your coding agent is authorized to manage this website, paste these instructions into it.
Claim my listing on Agent Web Map for thursdai.news:
1. POST https://agentwebmap.com/v1/sites/thursdai.news/claims and keep claim_id and claim_secret private.
2. Publish the verification line "AgentWebMap verification: <token>" (token from step 1) in https://thursdai.news/llms.txt, or use the DNS, meta-tag or well-known method the response describes. This only verifies the listing; your website and domain remain yours.
3. POST https://agentwebmap.com/v1/sites/thursdai.news/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/thursdai.news).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verifyCorrections or removal requests: contact the directory.