{"schema_version":"onlylabs.public_signal.v1","title":"Scaleway Writing: Why the future of AI is Big, Efficient and Open","description":"Scaleway writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/492bdfeb-c138-4d30-8e73-db6cdd98148b","json_url":"https://onlylabs.fyi/signals/492bdfeb-c138-4d30-8e73-db6cdd98148b/signal.json","generated_at":"2026-06-08T15:45:57.508+00:00","org":{"slug":"scaleway","name":"Scaleway","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/scaleway","dossier_json_url":"https://onlylabs.fyi/labs/scaleway/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/492bdfeb-c138-4d30-8e73-db6cdd98148b","signal_json":"https://onlylabs.fyi/signals/492bdfeb-c138-4d30-8e73-db6cdd98148b/signal.json","source":"https://www.scaleway.com/en/blog/why-the-future-of-ai-is-big-efficient-and-open/","lab_dossier":"https://onlylabs.fyi/labs/scaleway","lab_dossier_json":"https://onlylabs.fyi/labs/scaleway/dossier.json","analysis":"https://onlylabs.fyi/analysis/scaleway","analysis_json":"https://onlylabs.fyi/analysis/scaleway/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/scaleway/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neocloud","data_business":null},"answer_pack":{"answer":"Scaleway published Why the future of AI is Big, Efficient and Open. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Routine blog post, no notable traction or impact · Hype, Sustainability, and the Price of the Bigger-is-Better Paradigm in AI Gael Varoquaux ¨ * 1 Alexandra Sasha Luccioni * 2 Meredith Whittaker * 3 4 Abstract With the.... onlylabs links this event to 2 captured evidence pages and 6 related writing signals.","signal_desk":"talking","source_context":{"source_url":"https://www.scaleway.com/en/blog/why-the-future-of-ai-is-big-efficient-and-open/","source_host":"scaleway.com","occurred_at":"2024-10-02T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:15.955798+00:00","date_source":"source","context":null},"context_markers":[{"label":"Lab","value":"Scaleway","source":"signal"},{"label":"Signal desk","value":"talking","source":"signal"},{"label":"Source host","value":"scaleway.com","source":"source"},{"label":"Author","value":"Frederic Bardolle, Constance Morales","source":"source"},{"label":"PDF","value":"linked 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use","source":"evidence"}],"evidence_coverage":{"target_pages":2,"captured_pages":2,"readable_pages":2,"capture_methods":["exa","plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://www.scaleway.com/en/blog/why-the-future-of-ai-is-big-efficient-and-open/","https://arxiv.org/pdf/2409.14160"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-08T15:45:57.508+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/492bdfeb-c138-4d30-8e73-db6cdd98148b/signal.json","dossier_json":"https://onlylabs.fyi/labs/scaleway/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/scaleway/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/scaleway/evidence.json","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neocloud","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","data_radar_json":null,"opportunities_json":null},"analysis_playbook":{"objective":"Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.","evidence_focus":["post title","source URL","captured page text","HN traction","linked model or paper references","publication date"],"extraction_questions":["Which themes are labs choosing to explain publicly?","Which posts are attracting outside discussion?","Which writing reframes a recent release, model, hiring wave, or policy stance?","Which posts mention data, evals, infrastructure, safety, or deployment workflows?"],"signal_questions":["What public theme, launch framing, or research direction does this writing signal expose?","Which themes are labs choosing to explain publicly?","Which posts are attracting outside discussion?","Do the 6 related writing signals show a repeated pattern?"],"output_fields":["org","theme","public_framing","traction","evidence_url"],"data_business_relevance":"Data-business lane extraction is scoped to 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High-signal details: Routine blog post, no notable traction or impact · Hype, Sustainability, and the Price of the Bigger-is-Better Paradigm in AI Gael Varoquaux ¨ * 1 Alexandra Sasha Luccioni * 2 Meredith Whittaker * 3 4 Abstract With the.... onlylabs links this event to 2 captured evidence pages and 6 related writing signals.","semantic_triples":[{"subject":"Scaleway","predicate":"published","object":"Why the future of AI is Big, Efficient and Open","text":"Scaleway published Why the future of AI is Big, Efficient and Open."},{"subject":"Why the future of AI is Big, Efficient and Open","predicate":"is classified as","object":"writing signal","text":"Why the future of AI is Big, Efficient and Open is classified as writing signal."},{"subject":"Why the future of AI is Big, Efficient and Open","predicate":"belongs to","object":"talking desk","text":"Why the future of AI is Big, Efficient and Open belongs to talking desk."},{"subject":"Why the future of AI is Big, Efficient and Open","predicate":"has evidence coverage","object":"2 captured evidence pages","text":"Why the future of AI is Big, Efficient and Open has evidence coverage 2 captured evidence pages."}]},"signal":{"id":"492bdfeb-c138-4d30-8e73-db6cdd98148b","url":"https://onlylabs.fyi/signals/492bdfeb-c138-4d30-8e73-db6cdd98148b","json_url":"https://onlylabs.fyi/signals/492bdfeb-c138-4d30-8e73-db6cdd98148b/signal.json","source_url":"https://www.scaleway.com/en/blog/why-the-future-of-ai-is-big-efficient-and-open/","title":"Why the future of AI is Big, Efficient and Open","summary":"Scaleway published a writing signal. onlylabs watches public writing for research themes, product direction, and model-launch context.","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"scaleway","name":"Scaleway","category":"neocloud"},"occurred_at":"2024-10-02T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:15.955798+00:00","date_source":"source","evidence_coverage":{"target_pages":2,"captured_pages":2,"readable_pages":2,"capture_methods":["exa","plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://www.scaleway.com/en/blog/why-the-future-of-ai-is-big-efficient-and-open/","https://arxiv.org/pdf/2409.14160"]},"facets":{},"traction":{"github_stars":null,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":null},"primary_evidence_page":{"url":"https://www.scaleway.com/en/blog/why-the-future-of-ai-is-big-efficient-and-open/","final_url":"https://www.scaleway.com/en/blog/why-the-future-of-ai-is-big-efficient-and-open/","title":"Why the future of AI is Big, Efficient and Open","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-07T21:16:22.996257+00:00","bytes":170484,"raw_path":"9ab4255dee98bfe3fdd26d5efad6cc5d4d2851dc18dbff205b3aeb9a3ef9a7ae.html","content_hash":"17bce0453b4c2957aba10dd71bc34cced998e3a252941d3e6ab1c3d665465707","excerpt_chars":1200,"truncated":true,"excerpt":"Why the future of AI is Big, Efficient and Open Build • Frederic Bardolle, Constance Morales • 02/10/24 • 6 min read It’s been a rollercoaster ride for AI over the past two years. Since then, the market has skyrocketed; to give just one of many potential examples, it’s been estimated that generative AI in particular could increase global GDP by 10% over the coming decade (source: JP Morgan ). It’s as such little surprise that AI expertise has grown exponentially of late, especially in the US and Asia. However, as the first edition of ai-PULSE underlined last November, whilst Europe has historically been tech’s late starter, it mustn’t be ruled out of the AI race. Paris in particular has a thriving AI startup ecosystem, led by stars such as Mistral, the H Company, or by pioneering lab Kyutai (itself launched at ai-PULSE 2023). And let’s not forget that without French talents such as Meta’s Thomas Scialom or Christian Keller, models like Llama would simply not exist. So where does that leave us today? With an AI sector ripe for maturity, beyond the hype wave which we all know will subside in time. How will it mature? We’ve identified three key vectors as ai-PULSE 2024’s main themes...."},"evidence_pages":[{"url":"https://arxiv.org/pdf/2409.14160","final_url":"https://arxiv.org/pdf/2409.14160","title":"Why the future of AI is Big, Efficient and Open","http_status":200,"content_type":"application/pdf","capture_method":"exa","fetched_at":"2026-06-08T15:45:57.508+00:00","bytes":1020509,"raw_path":"9ce1c45df7565c306af2e575fde72b03bb43c94ab14a87750b53f46fabe745d1.pdf","content_hash":"ee52b0caf83dc533fdc6e501a1d400fd779fdf25ff573332cc18275e98e742db","excerpt_chars":1200,"truncated":true,"excerpt":"Hype, Sustainability, and the Price of the Bigger-is-Better Paradigm in AI Gael Varoquaux ¨ * 1 Alexandra Sasha Luccioni * 2 Meredith Whittaker * 3 4 Abstract With the growing attention and investment in re\u0002cent AI approaches such as large language mod\u0002els, the narrative that the larger the AI system the more valuable, powerful and interesting it is is increasingly seen as common sense. But what is this assumption based on, and how are we mea\u0002suring value, power, and performance? And what are the collateral consequences of this race to ever-increasing scale? Here, we scrutinize the current scaling trends and trade-offs across mul\u0002tiple axes and refute two common assumptions underlying the ‘bigger-is-better’ AI paradigm: 1) that performance improvements are driven by in\u0002creased scale, and 2) that all interesting prob\u0002lems addressed by AI require large-scale mod\u0002els. Rather, we argue that this approach is not only fragile scientifically, but comes with unde\u0002sirable consequences. First, it is not sustainable, as, despite efficiency improvements, its compute demands increase faster than model performance, leading to unreasonable economic requirements and a disproportionate..."},{"url":"https://www.scaleway.com/en/blog/why-the-future-of-ai-is-big-efficient-and-open/","final_url":"https://www.scaleway.com/en/blog/why-the-future-of-ai-is-big-efficient-and-open/","title":"Why the future of AI is Big, Efficient and Open","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-07T21:16:22.996257+00:00","bytes":170484,"raw_path":"9ab4255dee98bfe3fdd26d5efad6cc5d4d2851dc18dbff205b3aeb9a3ef9a7ae.html","content_hash":"17bce0453b4c2957aba10dd71bc34cced998e3a252941d3e6ab1c3d665465707","excerpt_chars":1200,"truncated":true,"excerpt":"Why the future of AI is Big, Efficient and Open Build • Frederic Bardolle, Constance Morales • 02/10/24 • 6 min read It’s been a rollercoaster ride for AI over the past two years. Since then, the market has skyrocketed; to give just one of many potential examples, it’s been estimated that generative AI in particular could increase global GDP by 10% over the coming decade (source: JP Morgan ). It’s as such little surprise that AI expertise has grown exponentially of late, especially in the US and Asia. However, as the first edition of ai-PULSE underlined last November, whilst Europe has historically been tech’s late starter, it mustn’t be ruled out of the AI race. Paris in particular has a thriving AI startup ecosystem, led by stars such as Mistral, the H Company, or by pioneering lab Kyutai (itself launched at ai-PULSE 2023). And let’s not forget that without French talents such as Meta’s Thomas Scialom or Christian Keller, models like Llama would simply not exist. So where does that leave us today? With an AI sector ripe for maturity, beyond the hype wave which we all know will subside in time. How will it mature? We’ve identified three key vectors as ai-PULSE 2024’s main themes...."}],"related_signals":[{"id":"b0ad8b34-33f4-455d-b0bc-9c40f34e08e5","url":"https://onlylabs.fyi/signals/b0ad8b34-33f4-455d-b0bc-9c40f34e08e5","source_url":"https://www.scaleway.com/en/blog/secnumcloud-strategic-challenges/","title":"SecNumCloud: The Strategic Challenges of The Qualification","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"scaleway","name":"Scaleway","category":"neocloud"},"occurred_at":"2026-05-18T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:15.955798+00:00","date_source":"source"},{"id":"1ebc5528-9bd0-4245-8610-f28f9e3c5701","url":"https://onlylabs.fyi/signals/1ebc5528-9bd0-4245-8610-f28f9e3c5701","source_url":"https://www.scaleway.com/en/blog/what-is-file-storage/","title":"What is File Storage ?","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"scaleway","name":"Scaleway","category":"neocloud"},"occurred_at":"2026-05-11T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:15.955798+00:00","date_source":"source"},{"id":"25d2fe5f-0386-4230-88d5-a8441b913ea5","url":"https://onlylabs.fyi/signals/25d2fe5f-0386-4230-88d5-a8441b913ea5","source_url":"https://www.scaleway.com/en/blog/secnumcloud-trusted-cloud-standard/","title":"SecNumCloud: Understanding the trusted cloud standard","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"scaleway","name":"Scaleway","category":"neocloud"},"occurred_at":"2026-05-11T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:15.955798+00:00","date_source":"source"},{"id":"5ab5596e-ffbc-4a9e-84f9-cb54758bd5ff","url":"https://onlylabs.fyi/signals/5ab5596e-ffbc-4a9e-84f9-cb54758bd5ff","source_url":"https://www.scaleway.com/en/blog/risc-v-servers-in-the-cloud/","title":"How Scaleway brought the first RISC-V servers to the cloud","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"scaleway","name":"Scaleway","category":"neocloud"},"occurred_at":"2026-05-04T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:15.955798+00:00","date_source":"source"},{"id":"868f0aa0-2b52-47bf-afa3-5b656454f763","url":"https://onlylabs.fyi/signals/868f0aa0-2b52-47bf-afa3-5b656454f763","source_url":"https://www.scaleway.com/en/blog/updates-on-top-level-domain-tld-price-list/","title":"Updates on Top-Level Domain (TLD) price list","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"scaleway","name":"Scaleway","category":"neocloud"},"occurred_at":"2026-04-27T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:15.955798+00:00","date_source":"source"},{"id":"ee327ff2-954d-407d-8d37-447f25d5ddf5","url":"https://onlylabs.fyi/signals/ee327ff2-954d-407d-8d37-447f25d5ddf5","source_url":"https://www.scaleway.com/en/blog/a-transparent-update-on-scaleway-pricing/","title":"A transparent update on Scaleway pricing","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"scaleway","name":"Scaleway","category":"neocloud"},"occurred_at":"2026-04-27T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:15.955798+00:00","date_source":"source"}]}