More from Soumith Chintala | AI News

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Soumith Chintala

@soumithchintala

Cofounded and lead Pytorch at Meta. Also dabble in robotics at NYU.

Tinker cuts prices up to 70% and adds GLM-5.3-Flash, DeepSeek-v4.1-Flash

According to Soumith Chintala on X citing Tinker, the company improved efficiency for long-context RL and announced price cuts up to 70% plus new GLM-5.3-Flash and DeepSeek-v4.1-Flash for cost-efficient long-context work. (Source)

10-09-2026 13:30 UTC
Text-to-SQL Breakthrough beats human mark

According to soumithchintala, Tinker’s RLVR-trained text-to-SQL model surpasses human benchmark by embedding expert judgment end-to-end. (Source)

08-27-2026 17:47 UTC
Soumith Chintala Seeks Hyderabad AI Leaders

According to @soumithchintala, he’s curating Hyderabad deep tech, AI research, AI product, and GPU experts via an open form for meetups. (Source)

08-15-2026 21:55 UTC
Open weights roadmap balances safety, staged access

According to soumithchintala, Thinking Machines proposes staged access for Inkling to align open weights with safety, per their blog and X post. (Source)

07-31-2026 15:59 UTC
Inkling Small Debuts: 4x Smaller, Big Results

According to soumithchintala, Inkling-Small matches Inkling quality at 4x smaller with 276B params, 12B active, and open weights for fine-tuning. (Source)

07-30-2026 09:55 UTC
Laguna S 2.1 Debuts: 118B MoE Breakthrough

According to soumithchintala, Poolside’s Laguna S 2.1 packs 118B MoE with 1M context and runs on a single NVIDIA DGX Spark, with open weights on Hugging Face. (Source)

07-21-2026 16:34 UTC
Kimi K3 Debuts with 2.8T Params, 1M Context

According to soumithchintala, Kimi K3 ships 2.8T params, 1M context, multimodal, faster decoding, and will open weights by July 27, 2026, per Kimi.ai. (Source)

07-16-2026 15:41 UTC
Modal DFlash speculator boosts inference 67%

According to soumithchintala, Modal’s DFlash speculator for Inkling delivers 67% higher throughput and interactivity than MTP on SGLang endpoints. (Source)

07-15-2026 13:06 UTC
Inkling Launches 975B Open Weights Multimodal Model

According to soumithchintala, Inkling debuts with 975B params, open weights, and native text image audio support on Tinker and Hugging Face. (Source)

07-15-2026 10:15 UTC
Thinking Machines Unveils Decentralized AI Vision

According to @soumithchintala, Thinking Machines pushes personalization, human-in-the-loop, and decentralization to cut reliance on centralized AGI. (Source)

07-10-2026 09:18 UTC
ThinkyMachines Unveils Personalization Playbook

According to soumithchintala, ThinkyMachines targets personalization, human-in-the-loop, and decentralization to reduce AGI platform dependence. (Source)

07-10-2026 09:13 UTC
Bridgewater Fine-Tunes Model Beats Frontier Costs

According to soumithchintala, Bridgewater fine-tuned a model for financial news triage that outperforms frontier LLMs on cost and reliability. (Source)

06-30-2026 12:18 UTC
Bridgewater Fine-Tunes Model Beats Frontier LLMs

According to soumithchintala, Bridgewater’s fine-tuned model ranks financial news better and cheaper than frontier LLMs, per Tinker and Thinking Machines. (Source)

06-30-2026 11:27 UTC
Flourish AI Labs targets human-level efficiency

According to soumithchintala, Flourish AI Labs aims to match human sample efficiency and energy use, a shift that could reshape AI hardware and training. (Source)

06-05-2026 05:02 UTC
Interaction Models Enable Live System Design Demos

According to soumithchintala, demos show Interaction Models co-designing systems, reading papers, and live fact-checking with a generative UI. (Source)

05-13-2026 10:39 UTC
Thinking Machines Hires Supercomputing Engineers

According to @soumithchintala, Thinking Machines is hiring supercomputing engineers for real time models, Tinker, and large scale training in NYC and SF. (Source)

05-12-2026 09:12 UTC
Thinky Interaction Models boost human AI bandwidth

According to @soumithchintala, Thinky previews real‑time Interaction Models that expand human AI bandwidth and collaboration, per Thinking Machines. (Source)

05-11-2026 12:48 UTC
Test of Time LLM Debuts With Retro Benchmark Fun

According to @soumithchintala, Test of Time LLM offers a playful, retro-style benchmark link, highlighting community interest in evaluators. (Source)

04-28-2026 05:25 UTC
Claude Boosts Enterprise Support Scale Analysis

According to @soumithchintala, Anthropic may scale account support via Claude or humans, while firms adopt multi AI with open harnesses for flexibility. (Source)

04-27-2026 05:29 UTC
Jensen Huang Podcast Analysis: Ecosystem Strategy, Test-Time Compute, and Policy Levers in AI 2026

According to Soumith Chintala on X, Jensen Huang’s conversation with Dwarkesh Patel highlights that AI progress is driven by ecosystem dynamics, supply chain control, and incremental compute plus post-training advances rather than a single phase-change model event, as reported by Soumith Chintala. According to the podcast outline by Dwarkesh Patel, the discussion covered Nvidia’s supply chain moat, TPUs’ competitive threat, and export policy to China, underscoring business implications for chip vendors and hyperscalers. According to Soumith Chintala, a realistic baseline is that a state-of-the-art Chinese open-source model could gain three orders of magnitude more test-time compute with unpublished post-training techniques, implying competitive parity risks for Western firms and the need for layered policy interventions. As reported by Soumith Chintala, overzealous early regulation could harm U.S. competitiveness; instead, measured, continuous controls across the ecosystem—from chips and interconnects to software stacks—are recommended, creating opportunities in compliance tooling, inference optimization, and supply chain orchestration. (Source)

04-20-2026 08:32 UTC