Here are the #AI developments that finance pros should be tracking
by Betsy Vereckey @MITSloan Learn more: https://
bit.ly/4eqJtlz #MachineLearning #ArtificialIntelligence #MI
MACHINE LEARNING
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AI developments finance pros should track from MIT Sloan
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Technical Deep Dive into Designing and Deploying AI Agents
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In this meet-up, hear about: The main components of designing custom Deep Agents Strategies for context management, long-running agents, and specialized subagents How to measure and improve agents over time with memory What it takes to deploy long-running agents with
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Realtime models translate live, think in background, and take action
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That’s what feels so magical with this new set of realtime models. Agents can translate live, keep conversations going while thinking in the background, preserve context, and even take action. To get started, ask Codex to add these models to your app!
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GPT-Realtime-Translate handles German interruption and preambles
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In this video, @dkundel interrupts me in German, and GPT-Realtime-Translate just figures it out. And here I was, ready to dust off my German! Then @jxnlco jumps in mid-demo to talk about preambles. GPT-Realtime-2 is listening, but stays quiet until I say “back to demo.”
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DGPO Method Advances Token-Level Credit Assignment in RL
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"DGPO: Distribution Guided Policy Optimization for Fine Grained Credit Assignment" RL for reasoning has a credit assignment problem. One reward basically gets spread across the whole chain-of-thought. This paper, DGPO, fixes that by turning policy deviation into a token-level
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Google’s AI symptom checker outperforms clinicians in 53% of cases
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Reserach scientists at Google just tested an AI symptom checker on 14,000 real patients over 9 months via Fitbit. In blinded evaluation, clinicians ranked the AI diagnosis as #1 in 53% of cases. Independent physicians: 24%. But the real finding isn't "AI beats doctors.", but
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Cerebras gives away 5 Windsurf plans with SWE-1.6 model
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🎁 We're giving away 5 Windsurf plans ($250 credit each)!
— Cerebras (@cerebras) 7 mai 2026
Try SWE-1.6 — @Cognition’s latest fast and intelligent agentic coding model, powered by Cerebras. In a side-by-side with Claude, the speed difference is clear. More iterations, faster fixes, better code.
💬Comment why… pic.twitter.com/f4zhV9OhYQWe're giving away 5 Windsurf plans ($250 credit each)! Try SWE-1.6 — @Cognition
’s latest fast and intelligent agentic coding model, powered by Cerebras. In a side-by-side with Claude, the speed difference is clear. More iterations, faster fixes, better code. Comment why -
OpenAI announces GPT-Realtime-2, Translate, and Whisper models
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OpenAI just dropped three new realtime voice models: -GPT-Realtime-2 (with GPT-5-class reasoning for voice agents that can actually think mid-conversation), – GPT-Realtime-Translate (live translation across 70+ input languages), and – GPT-Realtime-Whisper (streaming
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New live translator model and Chrome extension for YouTube live translation
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The new live translator model is really outstanding – it can translate synchronously without getting confused. This video is just my screen recording with no editing.
— Peter Gostev (@petergostev) 7 mai 2026
I built a little chrome extension that can hook into a YouTube video and translate it automatically live to… https://t.co/ZXa7go1ETV pic.twitter.com/M0RDVWzxRJThe new live translator model is really outstanding – it can translate synchronously without getting confused. This video is just my screen recording with no editing. I built a little chrome extension that can hook into a YouTube video and translate it automatically live to
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How Neural Language Analyzers Work
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How do NLAs work? An NLA consists of two models. One converts activations into text. The other tries to reconstruct activations from this text. We train the models together to make this reconstruction accurate. This incentivizes the text to capture what’s in the activation.