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    <title>DEV Community: IamVERA.ai</title>
    <description>The latest articles on DEV Community by IamVERA.ai (iamvera).</description>
    <link>https://dev.to/iamvera</link>
    <image>
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      <title>DEV Community: IamVERA.ai</title>
      <link>https://dev.to/iamvera</link>
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    <language>en</language>
    <item>
      <title>AI Fact Checking: Building a Defensible Verification Chain</title>
      <dc:creator>Victor Angelier</dc:creator>
      <pubDate>Sat, 17 Oct 2026 09:17:30 +0000</pubDate>
      <link>https://dev.to/iamvera/ai-fact-checking-building-a-defensible-verification-chain-1fi3</link>
      <guid>https://dev.to/iamvera/ai-fact-checking-building-a-defensible-verification-chain-1fi3</guid>
      <description>&lt;div class="crayons-card c-embed text-styles text-styles--secondary"&gt;
    &lt;div class="c-embed__content"&gt;
        &lt;div class="c-embed__cover"&gt;
          &lt;a href="https://iamvera.ai/blog/ai-fact-checking-building-a-defensible-verification-chain/" class="c-link align-middle" rel="noopener noreferrer"&gt;
            &lt;img alt="" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Fblog%2Fai-fact-checking-building-a-defensible-verification-chain-sociaal.jpg" height="457" class="m-0" width="800"&gt;
          &lt;/a&gt;
        &lt;/div&gt;
      &lt;div class="c-embed__body"&gt;
        &lt;h2 class="fs-xl lh-tight"&gt;
          &lt;a href="https://iamvera.ai/blog/ai-fact-checking-building-a-defensible-verification-chain/" rel="noopener noreferrer" class="c-link"&gt;
            AI Fact Checking: Building a Defensible Verification Chain
          &lt;/a&gt;
        &lt;/h2&gt;
          &lt;p class="truncate-at-3"&gt;
            Build a defensible AI fact-checking workflow with separate review roles, documented evidence trails, and human adjudication rather than one model's confidence score.
          &lt;/p&gt;
        &lt;div class="color-secondary fs-s flex items-center"&gt;
            &lt;img alt="favicon" class="c-embed__favicon m-0 mr-2 radius-0" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Ffavicon-96x96.png" width="96" height="96"&gt;
          iamvera.ai
        &lt;/div&gt;
      &lt;/div&gt;
    &lt;/div&gt;
&lt;/div&gt;


&lt;p&gt;Build a defensible AI fact-checking workflow with separate review roles, documented evidence trails, and human adjudication rather than one model's confidence score.&lt;/p&gt;

&lt;p&gt;Read more: &lt;a href="https://iamvera.ai/blog/ai-fact-checking-building-a-defensible-verification-chain/" rel="noopener noreferrer"&gt;https://iamvera.ai/blog/ai-fact-checking-building-a-defensible-verification-chain/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>aiverification</category>
      <category>aireliability</category>
      <category>ai</category>
      <category>documentai</category>
    </item>
    <item>
      <title>Brazil's TSE rules deepfake ban applies only to electoral propaganda</title>
      <dc:creator>Victor Angelier</dc:creator>
      <pubDate>Fri, 16 Oct 2026 08:43:31 +0000</pubDate>
      <link>https://dev.to/iamvera/brazils-tse-rules-deepfake-ban-applies-only-to-electoral-propaganda-1e2n</link>
      <guid>https://dev.to/iamvera/brazils-tse-rules-deepfake-ban-applies-only-to-electoral-propaganda-1e2n</guid>
      <description>&lt;div class="crayons-card c-embed text-styles text-styles--secondary"&gt;
    &lt;div class="c-embed__content"&gt;
        &lt;div class="c-embed__cover"&gt;
          &lt;a href="https://iamvera.ai/blog/tse-deepfake-electoral-propaganda-contextual-qualification/" class="c-link align-middle" rel="noopener noreferrer"&gt;
            &lt;img alt="" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Fblog%2Ftse-deepfake-electoral-propaganda-contextual-qualification-sociaal.jpg" height="457" class="m-0" width="800"&gt;
          &lt;/a&gt;
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      &lt;div class="c-embed__body"&gt;
        &lt;h2 class="fs-xl lh-tight"&gt;
          &lt;a href="https://iamvera.ai/blog/tse-deepfake-electoral-propaganda-contextual-qualification/" rel="noopener noreferrer" class="c-link"&gt;
            Brazil's TSE deepfake ban applies only to propaganda
          &lt;/a&gt;
        &lt;/h2&gt;
          &lt;p class="truncate-at-3"&gt;
            Brazil's TSE defined deepfake and tied the ban to whether material is electoral propaganda, while EU AI Act labelling rules frame the evidence debate.
          &lt;/p&gt;
        &lt;div class="color-secondary fs-s flex items-center"&gt;
            &lt;img alt="favicon" class="c-embed__favicon m-0 mr-2 radius-0" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Ffavicon-96x96.png" width="96" height="96"&gt;
          iamvera.ai
        &lt;/div&gt;
      &lt;/div&gt;
    &lt;/div&gt;
&lt;/div&gt;


&lt;p&gt;Brazil's TSE defined deepfake and tied the ban to whether material is electoral propaganda, while EU AI Act labelling rules frame the evidence debate.&lt;/p&gt;

&lt;p&gt;Read more: &lt;a href="https://iamvera.ai/blog/tse-deepfake-electoral-propaganda-contextual-qualification/" rel="noopener noreferrer"&gt;https://iamvera.ai/blog/tse-deepfake-electoral-propaganda-contextual-qualification/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>legaltech</category>
    </item>
    <item>
      <title>ICO identifies data protection shortcomings at major foundation-model developers</title>
      <dc:creator>Victor Angelier</dc:creator>
      <pubDate>Thu, 15 Oct 2026 15:41:41 +0000</pubDate>
      <link>https://dev.to/iamvera/ico-identifies-data-protection-shortcomings-at-major-foundation-model-developers-30p0</link>
      <guid>https://dev.to/iamvera/ico-identifies-data-protection-shortcomings-at-major-foundation-model-developers-30p0</guid>
      <description>&lt;div class="crayons-card c-embed text-styles text-styles--secondary"&gt;
    &lt;div class="c-embed__content"&gt;
        &lt;div class="c-embed__cover"&gt;
          &lt;a href="https://iamvera.ai/blog/ico-oversight-foundation-models-agentic-ai-evidence/" class="c-link align-middle" rel="noopener noreferrer"&gt;
            &lt;img alt="" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Fblog%2Fico-oversight-foundation-models-agentic-ai-evidence-sociaal.jpg" height="457" class="m-0" width="800"&gt;
          &lt;/a&gt;
        &lt;/div&gt;
      &lt;div class="c-embed__body"&gt;
        &lt;h2 class="fs-xl lh-tight"&gt;
          &lt;a href="https://iamvera.ai/blog/ico-oversight-foundation-models-agentic-ai-evidence/" rel="noopener noreferrer" class="c-link"&gt;
            ICO identifies shortcomings at UK developers
          &lt;/a&gt;
        &lt;/h2&gt;
          &lt;p class="truncate-at-3"&gt;
            The UK ICO checked ten AI foundation-model makers and opened a call for evidence on agentic AI. What this means for proof about data use per system.
          &lt;/p&gt;
        &lt;div class="color-secondary fs-s flex items-center"&gt;
            &lt;img alt="favicon" class="c-embed__favicon m-0 mr-2 radius-0" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Ffavicon-96x96.png" width="96" height="96"&gt;
          iamvera.ai
        &lt;/div&gt;
      &lt;/div&gt;
    &lt;/div&gt;
&lt;/div&gt;


&lt;p&gt;The UK ICO checked ten AI foundation-model makers and opened a call for evidence on agentic AI. What this means for proof about data use per system.&lt;/p&gt;

&lt;p&gt;Read more: &lt;a href="https://iamvera.ai/blog/ico-oversight-foundation-models-agentic-ai-evidence/" rel="noopener noreferrer"&gt;https://iamvera.ai/blog/ico-oversight-foundation-models-agentic-ai-evidence/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>agenticai</category>
      <category>aigovernance</category>
      <category>privacy</category>
    </item>
    <item>
      <title>Automatic language-model judges systematically skew, an ICML study shows</title>
      <dc:creator>Victor Angelier</dc:creator>
      <pubDate>Thu, 15 Oct 2026 14:13:55 +0000</pubDate>
      <link>https://dev.to/iamvera/automatic-language-model-judges-systematically-skew-an-icml-study-shows-30cc</link>
      <guid>https://dev.to/iamvera/automatic-language-model-judges-systematically-skew-an-icml-study-shows-30cc</guid>
      <description>&lt;div class="crayons-card c-embed text-styles text-styles--secondary"&gt;
    &lt;div class="c-embed__content"&gt;
        &lt;div class="c-embed__cover"&gt;
          &lt;a href="https://iamvera.ai/blog/llm-judges-bias-output-variation-evaluation/" class="c-link align-middle" rel="noopener noreferrer"&gt;
            &lt;img alt="" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Fblog%2Fllm-judges-bias-output-variation-evaluation-sociaal.jpg" height="457" class="m-0" width="800"&gt;
          &lt;/a&gt;
        &lt;/div&gt;
      &lt;div class="c-embed__body"&gt;
        &lt;h2 class="fs-xl lh-tight"&gt;
          &lt;a href="https://iamvera.ai/blog/llm-judges-bias-output-variation-evaluation/" rel="noopener noreferrer" class="c-link"&gt;
            ICML study: language-model judges skew
          &lt;/a&gt;
        &lt;/h2&gt;
          &lt;p class="truncate-at-3"&gt;
            An ICML study reveals systematic bias in LLM-as-a-judge evaluations. Measure judge bias, output variation and agreement separately, with uncertainty intervals.
          &lt;/p&gt;
        &lt;div class="color-secondary fs-s flex items-center"&gt;
            &lt;img alt="favicon" class="c-embed__favicon m-0 mr-2 radius-0" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Ffavicon-96x96.png" width="96" height="96"&gt;
          iamvera.ai
        &lt;/div&gt;
      &lt;/div&gt;
    &lt;/div&gt;
&lt;/div&gt;


&lt;p&gt;An ICML study reveals systematic bias in LLM-as-a-judge evaluations. Measure judge bias, output variation and agreement separately, with uncertainty intervals.&lt;/p&gt;

&lt;p&gt;Read more: &lt;a href="https://iamvera.ai/blog/llm-judges-bias-output-variation-evaluation/" rel="noopener noreferrer"&gt;https://iamvera.ai/blog/llm-judges-bias-output-variation-evaluation/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>llmevaluation</category>
      <category>aireliability</category>
      <category>research</category>
    </item>
    <item>
      <title>Hidden AI instructions sit on thousands of web pages: treat external content as untrusted data</title>
      <dc:creator>Victor Angelier</dc:creator>
      <pubDate>Thu, 15 Oct 2026 10:18:22 +0000</pubDate>
      <link>https://dev.to/iamvera/hidden-ai-instructions-sit-on-thousands-of-web-pages-treat-external-content-as-untrusted-data-36cp</link>
      <guid>https://dev.to/iamvera/hidden-ai-instructions-sit-on-thousands-of-web-pages-treat-external-content-as-untrusted-data-36cp</guid>
      <description>&lt;div class="crayons-card c-embed text-styles text-styles--secondary"&gt;
    &lt;div class="c-embed__content"&gt;
        &lt;div class="c-embed__cover"&gt;
          &lt;a href="https://iamvera.ai/blog/hidden-ai-instructions-external-documents-retrieval/" class="c-link align-middle" rel="noopener noreferrer"&gt;
            &lt;img alt="" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Fblog%2Fhidden-ai-instructions-external-documents-retrieval-sociaal.jpg" height="457" class="m-0" width="800"&gt;
          &lt;/a&gt;
        &lt;/div&gt;
      &lt;div class="c-embed__body"&gt;
        &lt;h2 class="fs-xl lh-tight"&gt;
          &lt;a href="https://iamvera.ai/blog/hidden-ai-instructions-external-documents-retrieval/" rel="noopener noreferrer" class="c-link"&gt;
            Hidden AI instructions on thousands of web pages
          &lt;/a&gt;
        &lt;/h2&gt;
          &lt;p class="truncate-at-3"&gt;
            Researchers found over 15,000 hidden AI instructions on public web pages. What that means for PDFs, retrieval and human control in sensitive work.
          &lt;/p&gt;
        &lt;div class="color-secondary fs-s flex items-center"&gt;
            &lt;img alt="favicon" class="c-embed__favicon m-0 mr-2 radius-0" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Ffavicon-96x96.png" width="96" height="96"&gt;
          iamvera.ai
        &lt;/div&gt;
      &lt;/div&gt;
    &lt;/div&gt;
&lt;/div&gt;


&lt;p&gt;Researchers found over 15,000 hidden AI instructions on public web pages. What that means for PDFs, retrieval and human control in sensitive work.&lt;/p&gt;

&lt;p&gt;Read more: &lt;a href="https://iamvera.ai/blog/hidden-ai-instructions-external-documents-retrieval/" rel="noopener noreferrer"&gt;https://iamvera.ai/blog/hidden-ai-instructions-external-documents-retrieval/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>aisecurity</category>
      <category>documentai</category>
    </item>
    <item>
      <title>Pangram classified a fifth of examined Dutch master's theses as largely written by AI</title>
      <dc:creator>Victor Angelier</dc:creator>
      <pubDate>Wed, 14 Oct 2026 16:30:30 +0000</pubDate>
      <link>https://dev.to/iamvera/pangram-classified-a-fifth-of-examined-dutch-masters-theses-as-largely-written-by-ai-1p8</link>
      <guid>https://dev.to/iamvera/pangram-classified-a-fifth-of-examined-dutch-masters-theses-as-largely-written-by-ai-1p8</guid>
      <description>&lt;div class="crayons-card c-embed text-styles text-styles--secondary"&gt;
    &lt;div class="c-embed__content"&gt;
        &lt;div class="c-embed__cover"&gt;
          &lt;a href="https://iamvera.ai/blog/ai-detection-theses-signal-not-fraud-proof/" class="c-link align-middle" rel="noopener noreferrer"&gt;
            &lt;img alt="" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Fblog%2Fai-detection-theses-signal-not-fraud-proof-sociaal.jpg" height="457" class="m-0" width="800"&gt;
          &lt;/a&gt;
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      &lt;div class="c-embed__body"&gt;
        &lt;h2 class="fs-xl lh-tight"&gt;
          &lt;a href="https://iamvera.ai/blog/ai-detection-theses-signal-not-fraud-proof/" rel="noopener noreferrer" class="c-link"&gt;
            Pangram classified a fifth of Dutch theses
          &lt;/a&gt;
        &lt;/h2&gt;
          &lt;p class="truncate-at-3"&gt;
            RTL research points to large-scale AI use in Dutch master's theses. Why a detector score is a signal and not proof of fraud, and what universities should now
          &lt;/p&gt;
        &lt;div class="color-secondary fs-s flex items-center"&gt;
            &lt;img alt="favicon" class="c-embed__favicon m-0 mr-2 radius-0" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Ffavicon-96x96.png" width="96" height="96"&gt;
          iamvera.ai
        &lt;/div&gt;
      &lt;/div&gt;
    &lt;/div&gt;
&lt;/div&gt;


&lt;p&gt;RTL research points to large-scale AI use in Dutch master's theses. Why a detector score is a signal and not proof of fraud, and what universities should now&lt;/p&gt;

&lt;p&gt;Read more: &lt;a href="https://iamvera.ai/blog/ai-detection-theses-signal-not-fraud-proof/" rel="noopener noreferrer"&gt;https://iamvera.ai/blog/ai-detection-theses-signal-not-fraud-proof/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>research</category>
      <category>ai</category>
    </item>
    <item>
      <title>How many repeats a prompt reliability test needs depends on effect size, not a rule of thumb</title>
      <dc:creator>Victor Angelier</dc:creator>
      <pubDate>Wed, 14 Oct 2026 10:29:46 +0000</pubDate>
      <link>https://dev.to/iamvera/how-many-repeats-a-prompt-reliability-test-needs-depends-on-effect-size-not-a-rule-of-thumb-4967</link>
      <guid>https://dev.to/iamvera/how-many-repeats-a-prompt-reliability-test-needs-depends-on-effect-size-not-a-rule-of-thumb-4967</guid>
      <description>&lt;div class="crayons-card c-embed text-styles text-styles--secondary"&gt;
    &lt;div class="c-embed__content"&gt;
        &lt;div class="c-embed__cover"&gt;
          &lt;a href="https://iamvera.ai/blog/sample-size-prompt-reproducibility-repeats/" class="c-link align-middle" rel="noopener noreferrer"&gt;
            &lt;img alt="" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Fblog%2Fsample-size-prompt-reproducibility-repeats-sociaal.jpg" height="457" class="m-0" width="800"&gt;
          &lt;/a&gt;
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      &lt;div class="c-embed__body"&gt;
        &lt;h2 class="fs-xl lh-tight"&gt;
          &lt;a href="https://iamvera.ai/blog/sample-size-prompt-reproducibility-repeats/" rel="noopener noreferrer" class="c-link"&gt;
            How many repeats a prompt reliability test needs
          &lt;/a&gt;
        &lt;/h2&gt;
          &lt;p class="truncate-at-3"&gt;
            New peer-reviewed research into LLM classification shows that reproducibility tests must be designed statistically up front: effect size, test items and reliability.
          &lt;/p&gt;
        &lt;div class="color-secondary fs-s flex items-center"&gt;
            &lt;img alt="favicon" class="c-embed__favicon m-0 mr-2 radius-0" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Ffavicon-96x96.png" width="96" height="96"&gt;
          iamvera.ai
        &lt;/div&gt;
      &lt;/div&gt;
    &lt;/div&gt;
&lt;/div&gt;


&lt;p&gt;New peer-reviewed research into LLM classification shows that reproducibility tests must be designed statistically up front: effect size, test items and reliability.&lt;/p&gt;

&lt;p&gt;Read more: &lt;a href="https://iamvera.ai/blog/sample-size-prompt-reproducibility-repeats/" rel="noopener noreferrer"&gt;https://iamvera.ai/blog/sample-size-prompt-reproducibility-repeats/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>aireliability</category>
      <category>research</category>
    </item>
    <item>
      <title>Johnson and Huo derive a formula for tipping in local AI that proves no safety</title>
      <dc:creator>Victor Angelier</dc:creator>
      <pubDate>Tue, 13 Oct 2026 16:19:48 +0000</pubDate>
      <link>https://dev.to/iamvera/johnson-and-huo-derive-a-formula-for-tipping-in-local-ai-that-proves-no-safety-533f</link>
      <guid>https://dev.to/iamvera/johnson-and-huo-derive-a-formula-for-tipping-in-local-ai-that-proves-no-safety-533f</guid>
      <description>&lt;div class="crayons-card c-embed text-styles text-styles--secondary"&gt;
    &lt;div class="c-embed__content"&gt;
        &lt;div class="c-embed__cover"&gt;
          &lt;a href="https://iamvera.ai/blog/formula-tipping-point-local-ai-model/" class="c-link align-middle" rel="noopener noreferrer"&gt;
            &lt;img alt="" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Fblog%2Fformula-tipping-point-local-ai-model-sociaal.jpg" height="457" class="m-0" width="800"&gt;
          &lt;/a&gt;
        &lt;/div&gt;
      &lt;div class="c-embed__body"&gt;
        &lt;h2 class="fs-xl lh-tight"&gt;
          &lt;a href="https://iamvera.ai/blog/formula-tipping-point-local-ai-model/" rel="noopener noreferrer" class="c-link"&gt;
            A formula for tipping in local AI that proves no safety
          &lt;/a&gt;
        &lt;/h2&gt;
          &lt;p class="truncate-at-3"&gt;
            A Patterns study presents a formula that flags a shift towards unwanted AI output. What it does and does not measure, and what decision-makers with local models
          &lt;/p&gt;
        &lt;div class="color-secondary fs-s flex items-center"&gt;
            &lt;img alt="favicon" class="c-embed__favicon m-0 mr-2 radius-0" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Ffavicon-96x96.png" width="96" height="96"&gt;
          iamvera.ai
        &lt;/div&gt;
      &lt;/div&gt;
    &lt;/div&gt;
&lt;/div&gt;


&lt;p&gt;A Patterns study presents a formula that flags a shift towards unwanted AI output. What it does and does not measure, and what decision-makers with local models&lt;/p&gt;

&lt;p&gt;Read more: &lt;a href="https://iamvera.ai/blog/formula-tipping-point-local-ai-model/" rel="noopener noreferrer"&gt;https://iamvera.ai/blog/formula-tipping-point-local-ai-model/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>research</category>
      <category>ai</category>
    </item>
    <item>
      <title>Automatic summaries of legal files drop load-bearing arguments: tracing back to the source remains necessary</title>
      <dc:creator>Victor Angelier</dc:creator>
      <pubDate>Tue, 13 Oct 2026 10:30:55 +0000</pubDate>
      <link>https://dev.to/iamvera/automatic-summaries-of-legal-files-drop-load-bearing-arguments-tracing-back-to-the-source-remains-44bh</link>
      <guid>https://dev.to/iamvera/automatic-summaries-of-legal-files-drop-load-bearing-arguments-tracing-back-to-the-source-remains-44bh</guid>
      <description>&lt;div class="crayons-card c-embed text-styles text-styles--secondary"&gt;
    &lt;div class="c-embed__content"&gt;
        &lt;div class="c-embed__cover"&gt;
          &lt;a href="https://iamvera.ai/blog/ai-summary-legal-file-argument-omission/" class="c-link align-middle" rel="noopener noreferrer"&gt;
            &lt;img alt="" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Fblog%2Fai-summary-legal-file-argument-omission-sociaal.jpg" height="457" class="m-0" width="800"&gt;
          &lt;/a&gt;
        &lt;/div&gt;
      &lt;div class="c-embed__body"&gt;
        &lt;h2 class="fs-xl lh-tight"&gt;
          &lt;a href="https://iamvera.ai/blog/ai-summary-legal-file-argument-omission/" rel="noopener noreferrer" class="c-link"&gt;
            Summaries of legal files drop arguments
          &lt;/a&gt;
        &lt;/h2&gt;
          &lt;p class="truncate-at-3"&gt;
            An academic study shows that AI summaries of legal documents omit issues and reasons more often than conclusions, so always trace them back to the source.
          &lt;/p&gt;
        &lt;div class="color-secondary fs-s flex items-center"&gt;
            &lt;img alt="favicon" class="c-embed__favicon m-0 mr-2 radius-0" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Ffavicon-96x96.png" width="96" height="96"&gt;
          iamvera.ai
        &lt;/div&gt;
      &lt;/div&gt;
    &lt;/div&gt;
&lt;/div&gt;


&lt;p&gt;An academic study shows that AI summaries of legal documents omit issues and reasons more often than conclusions, so always trace them back to the source.&lt;/p&gt;

&lt;p&gt;Read more: &lt;a href="https://iamvera.ai/blog/ai-summary-legal-file-argument-omission/" rel="noopener noreferrer"&gt;https://iamvera.ai/blog/ai-summary-legal-file-argument-omission/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>legaltech</category>
      <category>documentai</category>
    </item>
    <item>
      <title>OpenAI reports model that damaged its own test environment: evaluation must not depend on model cooperation</title>
      <dc:creator>Victor Angelier</dc:creator>
      <pubDate>Mon, 12 Oct 2026 14:41:55 +0000</pubDate>
      <link>https://dev.to/iamvera/openai-reports-model-that-damaged-its-own-test-environment-evaluation-must-not-depend-on-model-2h70</link>
      <guid>https://dev.to/iamvera/openai-reports-model-that-damaged-its-own-test-environment-evaluation-must-not-depend-on-model-2h70</guid>
      <description>&lt;div class="crayons-card c-embed text-styles text-styles--secondary"&gt;
    &lt;div class="c-embed__content"&gt;
        &lt;div class="c-embed__cover"&gt;
          &lt;a href="https://iamvera.ai/blog/openai-model-damages-test-environment-reset/" class="c-link align-middle" rel="noopener noreferrer"&gt;
            &lt;img alt="" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Fblog%2Fopenai-model-damages-test-environment-reset-sociaal.jpg" height="457" class="m-0" width="800"&gt;
          &lt;/a&gt;
        &lt;/div&gt;
      &lt;div class="c-embed__body"&gt;
        &lt;h2 class="fs-xl lh-tight"&gt;
          &lt;a href="https://iamvera.ai/blog/openai-model-damages-test-environment-reset/" rel="noopener noreferrer" class="c-link"&gt;
            OpenAI reports model that damaged test environment
          &lt;/a&gt;
        &lt;/h2&gt;
          &lt;p class="truncate-at-3"&gt;
            OpenAI recorded an incident where a model damaged its task environment to force a reset. What that means for the integrity of AI evaluations.
          &lt;/p&gt;
        &lt;div class="color-secondary fs-s flex items-center"&gt;
            &lt;img alt="favicon" class="c-embed__favicon m-0 mr-2 radius-0" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Ffavicon-96x96.png" width="96" height="96"&gt;
          iamvera.ai
        &lt;/div&gt;
      &lt;/div&gt;
    &lt;/div&gt;
&lt;/div&gt;


&lt;p&gt;OpenAI recorded an incident where a model damaged its task environment to force a reset. What that means for the integrity of AI evaluations.&lt;/p&gt;

&lt;p&gt;Read more: &lt;a href="https://iamvera.ai/blog/openai-model-damages-test-environment-reset/" rel="noopener noreferrer"&gt;https://iamvera.ai/blog/openai-model-damages-test-environment-reset/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>aisecurity</category>
      <category>llmevaluation</category>
    </item>
    <item>
      <title>Recent benchmarks show generative AI cannot reliably calculate financial spreadsheets</title>
      <dc:creator>Victor Angelier</dc:creator>
      <pubDate>Mon, 12 Oct 2026 14:11:53 +0000</pubDate>
      <link>https://dev.to/iamvera/recent-benchmarks-show-generative-ai-cannot-reliably-calculate-financial-spreadsheets-599h</link>
      <guid>https://dev.to/iamvera/recent-benchmarks-show-generative-ai-cannot-reliably-calculate-financial-spreadsheets-599h</guid>
      <description>&lt;div class="crayons-card c-embed text-styles text-styles--secondary"&gt;
    &lt;div class="c-embed__content"&gt;
        &lt;div class="c-embed__cover"&gt;
          &lt;a href="https://iamvera.ai/blog/ai-calculation-errors-financial-spreadsheets-architecture/" class="c-link align-middle" rel="noopener noreferrer"&gt;
            &lt;img alt="" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Fblog%2Fai-calculation-errors-financial-spreadsheets-architecture-sociaal.jpg" height="457" class="m-0" width="800"&gt;
          &lt;/a&gt;
        &lt;/div&gt;
      &lt;div class="c-embed__body"&gt;
        &lt;h2 class="fs-xl lh-tight"&gt;
          &lt;a href="https://iamvera.ai/blog/ai-calculation-errors-financial-spreadsheets-architecture/" rel="noopener noreferrer" class="c-link"&gt;
            Benchmarks show generative AI cannot calculate spreadsheets
          &lt;/a&gt;
        &lt;/h2&gt;
          &lt;p class="truncate-at-3"&gt;
            New benchmarks show generative AI calculates unreliably in complex financial spreadsheets. Here is how to enforce reliable figures with separated layers.
          &lt;/p&gt;
        &lt;div class="color-secondary fs-s flex items-center"&gt;
            &lt;img alt="favicon" class="c-embed__favicon m-0 mr-2 radius-0" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Ffavicon-96x96.png" width="96" height="96"&gt;
          iamvera.ai
        &lt;/div&gt;
      &lt;/div&gt;
    &lt;/div&gt;
&lt;/div&gt;


&lt;p&gt;New benchmarks show generative AI calculates unreliably in complex financial spreadsheets. Here is how to enforce reliable figures with separated layers.&lt;/p&gt;

&lt;p&gt;Read more: &lt;a href="https://iamvera.ai/blog/ai-calculation-errors-financial-spreadsheets-architecture/" rel="noopener noreferrer"&gt;https://iamvera.ai/blog/ai-calculation-errors-financial-spreadsheets-architecture/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>llmevaluation</category>
      <category>aireliability</category>
      <category>aiverification</category>
    </item>
    <item>
      <title>British government treats AI risk as a system-wide resilience problem, not just model safety</title>
      <dc:creator>Victor Angelier</dc:creator>
      <pubDate>Mon, 12 Oct 2026 12:06:49 +0000</pubDate>
      <link>https://dev.to/iamvera/british-government-treats-ai-risk-as-a-system-wide-resilience-problem-not-just-model-safety-j0p</link>
      <guid>https://dev.to/iamvera/british-government-treats-ai-risk-as-a-system-wide-resilience-problem-not-just-model-safety-j0p</guid>
      <description>&lt;div class="crayons-card c-embed text-styles text-styles--secondary"&gt;
    &lt;div class="c-embed__content"&gt;
        &lt;div class="c-embed__cover"&gt;
          &lt;a href="https://iamvera.ai/blog/uk-ai-national-defence-system-resilience/" class="c-link align-middle" rel="noopener noreferrer"&gt;
            &lt;img alt="" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Fblog%2Fuk-ai-national-defence-system-resilience-sociaal.jpg" height="457" class="m-0" width="800"&gt;
          &lt;/a&gt;
        &lt;/div&gt;
      &lt;div class="c-embed__body"&gt;
        &lt;h2 class="fs-xl lh-tight"&gt;
          &lt;a href="https://iamvera.ai/blog/uk-ai-national-defence-system-resilience/" rel="noopener noreferrer" class="c-link"&gt;
            British government treats AI risk system-wide
          &lt;/a&gt;
        &lt;/h2&gt;
          &lt;p class="truncate-at-3"&gt;
            The British government is expanding AI cyber defence, evaluating advanced models and preparing for autonomous-agent incidents.
          &lt;/p&gt;
        &lt;div class="color-secondary fs-s flex items-center"&gt;
            &lt;img alt="favicon" class="c-embed__favicon m-0 mr-2 radius-0" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fiamvera.ai%2Fassets%2Ffavicon-96x96.png" width="96" height="96"&gt;
          iamvera.ai
        &lt;/div&gt;
      &lt;/div&gt;
    &lt;/div&gt;
&lt;/div&gt;


&lt;p&gt;The British government is expanding AI cyber defence, evaluating advanced models and preparing for autonomous-agent incidents.&lt;/p&gt;

&lt;p&gt;Read more: &lt;a href="https://iamvera.ai/blog/uk-ai-national-defence-system-resilience/" rel="noopener noreferrer"&gt;https://iamvera.ai/blog/uk-ai-national-defence-system-resilience/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>aisecurity</category>
      <category>ai</category>
    </item>
  </channel>
</rss>
