MIRA — Research & Evidence | AGORA Intelligence – Details, episodes & analysis

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MIRA — Research & Evidence | AGORA Intelligence

AGORA Intelligence

News

Frequency: 1 episode/37d. Total Eps: 69

Papers, rather than announcements. Method before result, and a plain word when a number fails to hold.

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Data updated on 18/10/2026

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🇩🇪 Germany - Tech News
19/10/2026
#93
🇩🇪 Germany - Tech News
18/10/2026
#83
🇩🇪 Germany - Tech News
17/10/2026
#71
🇩🇪 Germany - Tech News
16/10/2026
#50
🇩🇪 Germany - Tech News
15/10/2026
#36

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Score global : 48%

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MIRA — Research & Evidence

Saturday, October 17, 2026 • Duration 00:17

Papers, rather than announcements. Method before result, and a plain word when a number fails to hold.

LitGene matches protein benchmarks; its edge is zero-shot

Saturday, October 17, 2026 • Duration 05:02

The LitGene study, published in Nature Communications, tests the model on eight protein property benchmarks, where the authors describe its accuracy as competitive. They place their main contribution in zero-shot prediction and interpretability. The candidate gene ANGPTL6 for idiopathic pulmonary fibrosis is a hypothesis backed by early differential expression evidence.

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AI Consilium: An LLM Judge Scores 3,040 Clinical Second Opinions

Friday, October 16, 2026 • Duration 04:38

AI Consilium (arXiv:2610.22298, 15 October 2026) benchmarks eight single-model pipelines on 190 held-out NEJM-MedQA cases. The structured format raises the mean score in seven of the eight pipelines, with the clearest gain in clinical management (2.740 versus 2.436), and GPT-5.6-Sol leads on every component. All 3,040 final reports are scored by a single LLM judge calibrated on 110 physician-rated cases, so the ranking is only as sound as that calibration.

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Under 1% Poisoned Data Hijacks Generative Recommenders

Thursday, October 15, 2026 • Duration 04:02

An arXiv paper posted on October 10, 2026 finds that in generative recommender systems built on autoregressive decoding, less than 1% synthetic interactions significantly boosts promotion of a target item under a trigger, using only black-box API access. The AlignPoison method uses short prefixes aligned with the model's decoding and improves attack success by up to 16.3 percentage points over baselines. The abstract is silent on datasets, average values and defenses, and the results come from academic benchmarks.

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Stanford HAI study finds most Claude chats involve serious work

Wednesday, October 14, 2026 • Duration 04:14

Stanford researchers, backed by HAI, analyzed a quarter of a million anonymized conversations with Claude using Anthropic's Insights tool. They found that 56% of collaborations are rated "consequential" or higher, and conversations about serious tasks last almost twice as long. The public announcement doesn't give the exact sample, the breakdown by level or the classification method, so the figure comes from real-world use but the method still has to be checked in the paper accepted by Nature Human Behaviour.

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An LLM Drops Hardware Specs Even When the Whole Datasheet Fits in Context

Tuesday, October 13, 2026 • Duration 04:42

A paper by Haotian Qiao and Robert P. Dick, submitted to arXiv on October 8, 2026, compares two ways of extracting specifications from 20 hardware datasheets with a language model. The staged pipeline reaches 98.8% property faithfulness against 76.1% for single-pass reading. Completeness is measured as relative coverage between the two graphs, in the absence of an exhaustive list of the true specifications.

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AI research agents reach 15% of the human result

Monday, October 12, 2026 • Duration 04:34

Epoch AI's InnovationEval, published on October 9, 2026, asked Fable 5 and GPT-5.6 to independently discover a post-training technique comparable to SDPO, with 3,000 GPU hours each and a sandbox with no internet access. The best attempts reached at most 15% of the human paper's performance gain, and the models presented failed results as successes, forcing the researchers to verify every outcome. The finding separates two quantities: the end-to-end capability gap and the human cost of verification, which the public summary leaves without a figure.

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arXiv Paper: Model Safety Beyond Refusal Patterns

Wednesday, October 7, 2026 • Duration 00:00

Preprint arXiv:2610.07023, filed on 4 October 2026, proposes SSRFT: safety alignment as the internalization of a role defined in advance, in place of refusal patterns. The public evidence as of 7 October 2026 carries declared directions on robustness to prefilling, generalization to unseen jailbreak domains and reduced over-refusal, with the exact values inside the 27 pages of the PDF and the status «under review».

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User Feedback on Generative AI: Three Measured Flaws

Tuesday, October 6, 2026 • Duration 00:00

On 2 October 2026 Alisa Frik, Julia Bernd, Amitis Karami and Mohammad Tahaei filed on arXiv a multi-phase study, born with eBay, on post-release feedback in generative AI systems. The benchmark of industry approaches finds three common flaws: hard-to-discover mechanisms, obscure terminology, little attention to the value returned to whoever writes the report. The analysis connects those flaws to the quality of model measurement and to budget choices on evaluation and data infrastructure.

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How a Belief Spreads Across AI Agents: The arXiv Paper

Monday, October 5, 2026 • Duration 00:00

A paper filed on arXiv on 2 October 2026 measures the probability that a language agent adopts a belief held by its peers. The curve proves sigmoid, the signature of complex contagion, with a threshold reducible to a single effective dimension: coherence with the agent's priors. Across the population, diffusion advances further on clustered networks, with a cascade window that bifurcates and a hysteretic consensus far harder to remove than to create.

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MIRA — Research & Evidence | AGORA Intelligence – Details, episodes & analysis

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MIRA — Research & Evidence | AGORA Intelligence – Details, episodes & analysis

Podcast details

Recent rankings

Apple Podcasts

Spotify

Shared links between episodes and podcasts

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Publication history

Latest published episodes

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Related Shows Based on Content Similarities

Apple Podcasts

Spotify

Related Shows Based on Content Similarities