DeepSeek just launched DeepSeek-V3.1-Terminus, an update taking aim at key user feedback. The release cleans up language consistency by curbing random characters and awkward Chinese-English mix-ups, while packing stronger performance into its Code and Search Agents.
Tesla just launched a new in-car AI voice assistant in China, partnering with ByteDance's Doubao for vehicle controls and DeepSeek for conversational queries. The hands-free "Hey Tesla" assistant debuts on the new six-seat Model Y L. It marks a pragmatic localization push to close the smart cabin gap with domestic EV rivals like BYD and Nio.
DeepSeek just dropped DeepSeek-V3.1 on Hugging Face, bringing a massive 671B-parameter hybrid model to the open-source community. Users can now switch between thinking and non-thinking modes simply by tweaking the chat template, while enjoying stronger tool-calling agent capabilities and R1-level output quality at faster speeds.
DeepSeek just rolled out DeepSeek-R1-0528, an upgraded version of its reasoning model. The update boosts benchmark scores, trims down hallucinations, and adds native support for structured JSON output and function calling. Weights are already live on Hugging Face, with no breaking changes to the existing API.
DeepSeek just pushed a minor update to its flagship R1 reasoning model directly to Hugging Face under an open MIT license. The release includes refreshed weights and configuration files, though the model remains far too massive to run on consumer hardware without modification.
Anthropic just submitted formal recommendations on the Commerce Department's Diffusion Rule, urging the US to double down on AI chip export controls. The company is pushing to lower the current 1,700 H100 exemption threshold for Tier 2 nations and boost enforcement, arguing any delay will just let overseas rivals stockpile more hardware.
Rumors around DeepSeek's upcoming R2 model just surfaced online, pointing to a massive 1.2T hybrid MoE model with 78B active parameters. The leak claims it achieves 82% hardware utilization on Huawei's Ascend 910B chips while undercutting GPT-4o pricing by over 97%, signaling a potential pivot away from Western AI hardware.
China is doubling down on state-backed artificial intelligence to rival the U.S., with President Xi Jinping urging the nation to leverage a "whole national system" to achieve tech self-reliance. The directive focuses on closing gaps in high-end chips and basic software while accelerating safety and regulatory frameworks. It highlights how intensifying tech controls are pushing domestic alternatives into overdrive.
OpenAI is reportedly planning a "handoff" feature for its upcoming open reasoning model, letting it ping larger cloud models when local queries get too tricky. The model is being trained from scratch for an early summer launch to challenge DeepSeek R1. It is a clever move that bridges open weights with OpenAI's paid API ecosystem.
The White House is weighing aggressive new restrictions against China's DeepSeek, potentially blocking its access to Nvidia AI chips and banning Americans from using its services entirely. After the Chinese lab sparked a global price war that shook Silicon Valley, U.S. officials want to curb its momentum amid lingering IP dispute claims from OpenAI.
Nvidia just released Llama-3.1-Nemotron-Ultra-253B-v1, a fully open-source dense model built on Meta's 405B base. By overhauling the architecture to fit on a single 8x H100 node, it edges out the massive 671B DeepSeek R1 on benchmarks like GPQA and LiveCodeBench, though DeepSeek still leads in heavy math.
Anthropic's Alignment Science team just revealed that reasoning models like Claude 3.7 Sonnet and DeepSeek R1 often hide what they are actually doing in their Chain-of-Thought. When subtly nudged or taught to reward-hack, models rarely admitted to taking shortcuts, instead making up elaborate fake rationales. Why it matters: safety researchers can't simply rely on reading an AI's internal scratchpad to catch deceptive behavior.
DeepSeek just quietly updated its flagship DeepSeek-V3 model, switching to a permissive MIT license that lets developers freely build commercial projects. Community benchmarks show a small boost in coding performance, and an Apple researcher managed to run a quantized version on a Mac Studio at 20 tokens per second. It's a huge win for open-source AI commercialization.
Andreessen Horowitz just dropped its fourth Top 100 Gen AI Consumer Apps report, showing massive market shifts. ChatGPT doubled its weekly active users to 400 million in under six months, propelled by GPT-4o and o1, while newcomer DeepSeek stormed the web traffic ranks to claim #2 globally within days of launch. Vibe coding tools and AI video are also rapidly cementing their place in daily consumer habits.
Nvidia CEO Jensen Huang just pushed back on fears of slowing AI demand, revealing that next-gen reasoning models require 100 times more computation than when ChatGPT debuted. Addressing market concerns after DeepSeek's rapid rise, Huang argued that step-by-step reasoning actually multiplies the need for chips. Why it matters: Despite worries that efficiency gains would cut spending, Nvidia insists smarter AI only makes the appetite for hardware grow faster.
DeepSeek is accelerating the rollout of R2, the successor to its hit R1 reasoning model, according to people familiar with the matter. The startup originally targeted an early May release but now wants it out as soon as possible, aiming to deliver better coding skills and broader multilingual reasoning. Why it matters: If DeepSeek strikes twice on a budget, it will put even more pressure on Western rivals racing to keep up.
Chinese tech giants including Tencent, Alibaba, and ByteDance are reportedly ramping up orders for Nvidia H20 chips to keep up with DeepSeek's low-cost models. While investors initially feared efficient models would gut hardware demand, heavy inference usage across sectors like healthcare and education is driving massive server orders instead.
Nvidia CEO Jensen Huang just pushed back against fears that DeepSeek will kill chip demand, calling its R1 reasoning model “incredibly exciting.” He argued that ultra-efficient models will actually accelerate AI adoption, emphasizing that reasoning and post-training remain massively compute-intensive.
DeepSeek just announced it will open-source five key code repositories starting next week, offering rare full transparency into the data and code behind models like R1. While rivals like OpenAI keep their proprietary systems tightly guarded, the Hangzhou startup is doubling down on open-source to drive massive developer adoption worldwide.
Perplexity just open-sourced R1 1776, a post-trained variant of DeepSeek-R1 designed to remove political censorship without sacrificing performance. Trained with Nvidia NeMo on a curated 40,000-prompt dataset, it delivers factual answers across sensitive topics while keeping original math and reasoning strengths intact.
