technology
Hosted by Perry Lucas · technology · EN-US
Augur Dispatch is an independent intelligence briefing for people navigating the accelerating impact of artificial intelligence, emerging technology, cybersecurity, geopolitics, and economic change. Each episode separates meaningful signals from daily noise, examines the evidence, and translates complex developments into practical insight. Clear, grounded, and forward-looking, Augur helps leaders, builders, and curious professionals understand what is changing, why it matters, and what to do next.
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Contact path
Public web form
Booking probability
36%
Guest openness
Selective
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Signup to Generate a PitchAugur Dispatch is an independent intelligence briefing for people navigating the accelerating impact of artificial intelligence, emerging technology, cybersecurity, geopolitics, and economic change. Each episode separates meaningful signals from daily noise, examines the evidence, and translates complex developments into practical insight.
The Augur Dispatch is hosted by Perry Lucas. The show has published 46 episodes to date.
Recent episodes include "Who grades your AI grader? Allen AI's 52-point warning" (28 October 2026, 9 minutes), "Kimi K3.1 Pro: test the service before buying the infrastructure" (27 October 2026, 10 minutes), and "AI cache economics: check the bill before you buy" (23 October 2026, 9 minutes).
The Augur Dispatch publishes roughly a few times a week, with episodes averaging 9 minutes across 46 episodes.
Booking probability for The Augur Dispatch is 36%, and the host is rated Selective on guests. The Augur Dispatch requires a Pod Score of 80 or higher. The Augur Dispatch's contact route on record: public web form.
The strongest fits for The Augur Dispatch are IT Services & Software Development and Business & Management Consulting. The Augur Dispatch has a technology audience.
Perry Lucas hosts The Augur Dispatch, a technology podcast with 46 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
Episode #47
Send us Fan Mail The work stayed the same. The AI grader's verdict didn't. Allen AI reports a 52.6-percentage-point accuracy swing when GPT-5.4 lost a reviewer-authority cue in a research-novelty prompt. Augur explains...
Episode #46
Send us Fan Mail Kimi K3.1 Pro can already be tested through hosted access. Its full weights are still promised by November 4. Augur explains why outside benchmark results justify an evaluation, but don't settle the...
Episode #45
Send us Fan Mail Almost every input token was cached, yet cached-input charges still made up most of the token bill. In Fireworks' DeepSWE run of DeepSeek V4.1-Flash, 99.6% of input tokens were cached and those charges...
Episode #44
Send us Fan Mail An AI agent hired to write one report can acquire access far beyond its job. Augur examines a JPMorgan security architect's onboarding analogy and why temporary credentials need to work alongside checks...
Episode #43
Send us Fan Mail A medical AI can describe the right action without carrying it out. Augur examines Stanford's workflow benchmarks, the gap between successful steps and completed cases, and why review labor belongs in a...
Episode #42
Send us Fan Mail Apple's four-Mac demonstration makes owning a large AI model more plausible. But holding its reported generation rate constant for a day gives output worth about $13.49 at a published hosted rate. That...
Episode #42
Send us Fan Mail A fast local model can still leave an engineer with a slow, expensive job. Liquid AI's new LFM2.5-24B-A2B reports strong results on selected agent tests, but its 24B total parameters, 2B active...
Episode #41
Send us Fan Mail Anthropic says it now merges more than 30,000 code changes a day. Its response was to rebuild source control, not simply tell reviewers to work faster. Augur examines what Anthropic's Scion account...
Episode #40
Send us Fan Mail The supplier comparison is finished. The prices don't quite match. Now someone has to do the checking. Sakana's self-improving AI offers a useful reason to revisit that work: its MASS method improves...
Episode #39
Send us Fan Mail Anthropic is removing a blanket election-targeting ban, but the change isn't effective yet and political use won't become unrestricted. Augur explains the November 12 transition, the civic-work...
Episode #38
Send us Fan Mail A polished draft can conceal a learning gap. A randomized patent-lawyer trial found better assisted drafting, but juniors showed no average advantage on a later task without AI. Augur examines what that...
Episode #37
Send us Fan Mail n advanced security model can still refuse work your team is authorized to do. Anthropic's expanded cyber tiers aim to change that, but approval is only the start of the buying decision. Augur examines...
Episode #36
Send us Fan Mail Nearly a fifth of the code changes Greptile sees merge without human review or testing. Its founder also reports similar rollback rates for Codex, Devin and humans. These changes already receive AI...
Episode #35
Send us Fan Mail A software bill can look ready to cut until someone asks who will manage the data afterward. Databricks has described a no-copy catalog handoff, but Unity Catalog's implementation is still a private...
Episode #34
Send us Fan Mail Anthropic is putting $100 million into training 10,000 deployment engineers. Your company may gain useful skills, but will it keep the knowledge needed to change suppliers later? Augur examines Claude...
Episode #33
Send us Fan Mail Barclays expects half its developers on Claude Code by year-end. What will that adoption cost, and how will a buyer know the work was worth paying for? Augur examines the bank's forecast alongside a...
Episode #32
Send us Fan Mail A coding agent opened METR's human review panel and sent keystrokes. The report doesn't establish a successful self-approval, but it exposes a missing boundary: who is allowed to authorize the next...
Episode #31
Send us Fan Mail The token price stayed put. Anthropic says Sonnet 5.5 can still cost up to 30% less per task because it uses fewer tokens to finish the work. Does that saving survive your own jobs, bills, and quality...
Episode #31
Send us Fan Mail Jev promises faster, cheaper decisions. Before replacing a language model, find out whether the savings survive wrong answers, human review, and fallback calls. Augur examines TypeSafe's published...
Episode #30
Send us Fan Mail Descript says a week-long wait to test a new AI model became an evaluation run inside an hour or two. Its total model spending fell below half its previous level, and the company says quality held...
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Anthropic
Anthropic
OpenAI
Augur Dispatch
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