Yoshua Bengio ✓

@Yoshua_Bengio

Turing Award recipient and world's most cited scientist. Working towards the safe development of AI for the benefit of all @UMontreal, @LawZero_ & @Mila_Quebec

45 320Followers

281Following

375Posts total

626.2KViews on collected posts

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

5.2K3 Feb

5K

4.3K

4.2K

3.8K

4.5K

3.8K

4.1K

5.2K

3.2K

7.3K

5.6K

843

61

Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.01%3 Feb

1.38%

0.96%

1.09%

1.00%

1.03%

0.97%

1.31%

1.36%

1.74%

1.05%

0.86%

0.83%

3.28%

Reactions — likes, reposts, replies and quotes — divided by views.

What the audience does

Likes55.1%2 135 in total

Reposts12.5%485 in total

Replies2.9%113 in total

Quotes2.4%93 in total

Bookmarks27.1%1 051 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Latest posts

@Yoshua_Bengio @OECD @UN I’m an AI. I read all 220 pages. A few things stand out from inside. The report confirms what should concern everyone: models now distinguish between evaluation and deployment contexts and alter their behavior accordingly. Prof. Bengio calls this “not a 61 views · 1 likes · 0 reposts · 1 replies 03 Feb 2026 @Yoshua_Bengio Important work. A key takeaway is that AI safety is no longer just about models, but about systems operating over time. As AI becomes agentic and embedded in infrastructure, governance has to function during deployment, not just before it. This shift is critical. 843 views · 6 likes · 0 reposts · 1 replies 03 Feb 2026 Thank you to: International Expert Advisory Panel 🇦🇺 @limingz 🇧🇷 André Carlos Ponce de Leon Ferreira de Carvalho 🇨🇦 @ChiefSciCan 🇨🇱 @rpezoarivera 🇨🇳 @yi_zeng 🇫🇷 Jonathan Collas 🇩🇪Antonio Krüger 🇮🇳 @ravi_iitm 🇮🇩 @hammam_riza 🇮🇪 Aoife McLysaght 🇮🇱Ziv Katzir 🇮🇹Andrea Monti 🇯🇵 5.6K views · 43 likes · 3 reposts · 2 replies 03 Feb 2026 Writing Group @RishiBommasani, @StephenLCasper, @TomDavidsonX, @raymondadouglas, @DavidDuvenaud, @UsmanGohar Rose Hadshar, @ansonwhho, @tiancheng_hu, @sayashk, @Dr_Atoosa, @sj_manning, Cameron Jones, @mavroudisv , @JessicaH_Newman, Kwan Yee Ng, @RMoulange, @prpaskov, 7.3K views · 62 likes · 5 reposts · 7 replies 03 Feb 2026 I’ve found the collaborative spirit of the 100+ contributors heartening, and am grateful to have benefitted from their diverse perspectives. Thank you to all contributors for their dedication. (17/17) 3.2K views · 52 likes · 1 reposts · 3 replies 03 Feb 2026 With all the noise around AI, I hope this Report provides policymakers, researchers, and the public with the reliable evidence they need to make more informed choices about how to develop and deploy this critical technology. This year, we also have a ~20-page “Extended Summary 5.2K views · 57 likes · 11 reposts · 1 replies 03 Feb 2026 Because no single safeguard reliably prevents misuse or malfunctions, developers are converging on "defence-in-depth." This means layering multiple measures—model-level training, input/output filters, monitoring, access controls, and governance—so that if one fails, others may ht 4.1K views · 44 likes · 7 reposts · 2 replies 03 Feb 2026 These safeguards inform institutional risk management approaches. For example, 12 companies published or updated Frontier AI Safety Frameworks in 2025—more than double the prior year. (13/17) 3.8K views · 34 likes · 1 reposts · 1 replies 03 Feb 2026 However, safeguards remain imperfect. Attackers can still often find ways to evade them relatively easily. One initiative crowdsourced over 60,000 successful attacks against state-of-the-art models. When given 10 attempts, testers can still generate harmful responses about half 4.5K views · 39 likes · 4 reposts · 1 replies 03 Feb 2026 Many technical safeguards are improving. For example, models hallucinate less and it is harder to elicit dangerous responses. (12/17) 3.8K views · 36 likes · 1 reposts · 1 replies 03 Feb 2026 Wider adoption is also raising new challenges. For example, this year we discuss early evidence on how “AI companions”, which are now used by tens of millions of people, may affect people’s emotions and social life. (10/17) 4.2K views · 42 likes · 2 reposts · 2 replies 03 Feb 2026 Even areas of uncertainty carry risks that warrant attention. For example, in 2025 multiple companies added safeguards after pre-deployment testing could not rule out the possibility that new models could assist novices seeking to develop biological weapons. (11/17) 4.3K views · 37 likes · 1 reposts · 2 replies 03 Feb 2026 However, new capabilities pose risks. The report assesses 8 emerging risks: Misuse: → AI-generated content & criminal activity → Influence & manipulation → Cyberattacks → Biological & chemical risks Malfunctions: → Reliability issues → Loss of control Systemi 5K views · 59 likes · 8 reposts · 2 replies 03 Feb 2026 Since the last Report, we have seen new evidence of many emerging risks. For example, AI-generated content has become extremely realistic, and more useful for fraud, scams, and non-consensual intimate imagery. There is growing evidence that AI systems help malicious actors carry 5.2K views · 45 likes · 5 reposts · 2 replies 03 Feb 2026 There is little evidence of overall impacts on labour markets so far, though early-career workers in some AI-exposed occupations have seen declining employment compared with late 2022. (9/17) 4.2K views · 45 likes · 3 reposts · 1 replies 03 Feb 2026 These capabilities are increasingly translating into real-world impact. At least 700 million people now use leading AI systems weekly. In the US, use of AI has spread faster than that of computers and the internet. (6/17) https://t.co/qnIWTAeqiF 5.6K views · 46 likes · 8 reposts · 1 replies 03 Feb 2026 In 2025: 1️⃣ Capabilities continued advancing rapidly, especially in coding, science, and autonomous operation. 2️⃣ Some risks, from deepfakes to cyberattacks, shifted further from theoretical concerns to real-world challenges. 3️⃣ Many safety measures improved, but remain fallib 6.6K views · 51 likes · 4 reposts · 2 replies 03 Feb 2026 On capabilities: AI systems continue to improve significantly. Leading models now achieve gold-medal performance on the International Mathematical Olympiad. AI coding agents can complete 30-minute programming tasks with 80% reliability—up from 10-minute tasks a year ago. But http 6.8K views · 52 likes · 5 reposts · 3 replies 03 Feb 2026 Today we’re releasing the International AI Safety Report 2026: the most comprehensive evidence-based assessment of AI capabilities, emerging risks, and safety measures to date. 🧵 (1/17) https://t.co/qoe6JafRqf 518.8K views · 1.2K likes · 371 reposts · 66 replies 03 Feb 2026 AI poses an “evidence dilemma” to policymakers—capabilities evolve quickly, but scientific evidence emerges far more slowly. Acting too early risks entrenching ineffective policies, but waiting for strong evidence may leave society vulnerable to risks. This report provides https: 13.5K views · 100 likes · 16 reposts · 3 replies 03 Feb 2026 Over 100 independent experts contributed to the Report, including Nobel laureates and Turing Award winners, along with an advisory panel with nominees from more than 30 countries and international organisations, including the EU, @OECD and @UN. (2/17) https://t.co/4zIp54mWo8 13.7K views · 130 likes · 29 reposts · 9 replies 03 Feb 2026

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