{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:OX7AGZZLAN3K6NCUYGLQHAWMZZ","short_pith_number":"pith:OX7AGZZL","schema_version":"1.0","canonical_sha256":"75fe03672b0376af3454c1970382ccce495dc7a8710ecdcda7a63b0ea480626f","source":{"kind":"arxiv","id":"2307.04821","version":1},"attestation_state":"computed","paper":{"title":"Amplifying Limitations, Harms and Risks of Large Language Models","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.CY"],"primary_cat":"cs.CL","authors_text":"Mark Connor, Michael O'Neill","submitted_at":"2023-07-06T11:53:45Z","abstract_excerpt":"We present this article as a small gesture in an attempt to counter what appears to be exponentially growing hype around Artificial Intelligence (AI) and its capabilities, and the distraction provided by the associated talk of science-fiction scenarios that might arise if AI should become sentient and super-intelligent. It may also help those outside of the field to become more informed about some of the limitations of AI technology. In the current context of popular discourse AI defaults to mean foundation and large language models (LLMs) such as those used to create ChatGPT. This in itself i"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2307.04821","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2023-07-06T11:53:45Z","cross_cats_sorted":["cs.AI","cs.CY"],"title_canon_sha256":"63c60a1ec9e46ca6cdbd4d7ce0bbf8ee375c96a596795f3c36539a237f818aec","abstract_canon_sha256":"735a381eaa3e20ffa9b10b468fbbfa094f0b88f2afe7def0fd59cfa32a7298ff"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:29:22.576752Z","signature_b64":"XwPrd96cVI6YhD+vItrBXHf+Wme4Joa1lFx8F65uSTDYvtUR1+G2aXFAgsG5n6XQpDhAJLdLkvFcrdzXcfNRBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"75fe03672b0376af3454c1970382ccce495dc7a8710ecdcda7a63b0ea480626f","last_reissued_at":"2026-07-05T06:29:22.576324Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:29:22.576324Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Amplifying Limitations, Harms and Risks of Large Language Models","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.CY"],"primary_cat":"cs.CL","authors_text":"Mark Connor, Michael O'Neill","submitted_at":"2023-07-06T11:53:45Z","abstract_excerpt":"We present this article as a small gesture in an attempt to counter what appears to be exponentially growing hype around Artificial Intelligence (AI) and its capabilities, and the distraction provided by the associated talk of science-fiction scenarios that might arise if AI should become sentient and super-intelligent. It may also help those outside of the field to become more informed about some of the limitations of AI technology. In the current context of popular discourse AI defaults to mean foundation and large language models (LLMs) such as those used to create ChatGPT. This in itself i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.04821","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2307.04821/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2307.04821","created_at":"2026-07-05T06:29:22.576381+00:00"},{"alias_kind":"arxiv_version","alias_value":"2307.04821v1","created_at":"2026-07-05T06:29:22.576381+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.04821","created_at":"2026-07-05T06:29:22.576381+00:00"},{"alias_kind":"pith_short_12","alias_value":"OX7AGZZLAN3K","created_at":"2026-07-05T06:29:22.576381+00:00"},{"alias_kind":"pith_short_16","alias_value":"OX7AGZZLAN3K6NCU","created_at":"2026-07-05T06:29:22.576381+00:00"},{"alias_kind":"pith_short_8","alias_value":"OX7AGZZL","created_at":"2026-07-05T06:29:22.576381+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2412.15035","citing_title":"LLMs Lost in Translation: M-ALERT uncovers Cross-Linguistic Safety Inconsistencies","ref_index":14,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/OX7AGZZLAN3K6NCUYGLQHAWMZZ","json":"https://pith.science/pith/OX7AGZZLAN3K6NCUYGLQHAWMZZ.json","graph_json":"https://pith.science/api/pith-number/OX7AGZZLAN3K6NCUYGLQHAWMZZ/graph.json","events_json":"https://pith.science/api/pith-number/OX7AGZZLAN3K6NCUYGLQHAWMZZ/events.json","paper":"https://pith.science/paper/OX7AGZZL"},"agent_actions":{"view_html":"https://pith.science/pith/OX7AGZZLAN3K6NCUYGLQHAWMZZ","download_json":"https://pith.science/pith/OX7AGZZLAN3K6NCUYGLQHAWMZZ.json","view_paper":"https://pith.science/paper/OX7AGZZL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2307.04821&json=true","fetch_graph":"https://pith.science/api/pith-number/OX7AGZZLAN3K6NCUYGLQHAWMZZ/graph.json","fetch_events":"https://pith.science/api/pith-number/OX7AGZZLAN3K6NCUYGLQHAWMZZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OX7AGZZLAN3K6NCUYGLQHAWMZZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OX7AGZZLAN3K6NCUYGLQHAWMZZ/action/storage_attestation","attest_author":"https://pith.science/pith/OX7AGZZLAN3K6NCUYGLQHAWMZZ/action/author_attestation","sign_citation":"https://pith.science/pith/OX7AGZZLAN3K6NCUYGLQHAWMZZ/action/citation_signature","submit_replication":"https://pith.science/pith/OX7AGZZLAN3K6NCUYGLQHAWMZZ/action/replication_record"}},"created_at":"2026-07-05T06:29:22.576381+00:00","updated_at":"2026-07-05T06:29:22.576381+00:00"}