Daily Roundup

DeepSeek V4 Pro, Twitch AI Opt-Out, Open Models Land

Aug 13: DeepSeek ships V4 Pro 0813 on OpenRouter; Twitch's default AI training opt-out; Hinton, Li, Ng at Ai4; Liquid AI ships a 3B vision model.

Top Stories

DeepSeek ships V4 Pro 0813 on OpenRouter, with no DeepSeek announcement page

Simon Willison noted on 12 August that DeepSeek’s latest Pro model landed on OpenRouter as DeepSeek V4 Pro 0813 - a quiet API-only release with no accompanying post on DeepSeek’s own site. The model is the second DeepSeek refresh in two months, following the DeepSeek V4 Flash 0731 drop in July, and it fits a pattern the trend researcher has been tracking: the open-weight LLM rhythm has shifted from a monthly headline drop to a weekly patch. Our Best Open-Weight Models ranking gets refreshed as the field shifts, and DeepSeek V4 Pro 0813 belongs on the next pass.

The benchmark rollout is the unusual part. Per Willison, the published benchmarks were first posted to a DeepSeek WeChat group, then resurfaced as a Reddit thread that was removed as “low-effort,” then shared as an ASCII table on Hacker News. The model supports three reasoning levels (low, medium, high) and OpenRouter is the canonical access route. For local-AI readers, the practical news is that the OpenRouter listing is the source of truth for now, and the wait for any official DeepSeek write-up is open-ended.

Twitch will train Amazon’s AI on your streams by default, with the opt-out buried in security settings

TechCrunch reported on 12 August that Twitch has flipped its generative-AI training policy from opt-in to opt-out for all creators. The toggle lives under Channel Settings, then the Security and Privacy tab, labeled “Training for Generative AI” - and it covers livestreams, VODs, clips, highlights, stream chats, and “any text or images on your Channel.” Twitch CPO Mike Minton, asked whether prior content had already been used to train models, said he did not know. The Verge confirmed the same rollout.

The companion piece sits on a long-running privacy beat: a US live-streaming platform has decided that opt-in would mean nobody opts in, and has waved the rest of the user base through. Minton’s exact quote, per TechCrunch: “If this was opt-in, nobody would opt in. That’s honestly the answer.” A separate UserVoice suggestion had been pushing for AI features to be opt-out by default before the company moved - the toggle shipped on the same day, so the demand was already on the record.

Hinton, Li, and Ng publicly split on open-source vs regulation at Ai4

TechCrunch reported on 12 August on a joint on-stage debate at the Ai4 conference in Las Vegas between Nobel laureate Geoffrey Hinton, World Labs CEO Fei-Fei Li, and Coursera co-founder Andrew Ng. The trio agreed on surprisingly little, and the disagreement is the story.

Hinton drew a sharp line between open-source code and open-weight models, and conceded that he had lost the open-weight fight. Per TechCrunch, he told the audience: “I think that battle’s been lost. We now have open-weight models, so the barrier to lots of people getting these big models, which was the cost of training foundation models, that barrier has disappeared. It’s too late.” He backed regulation and warned against leaving AI trajectory decisions to “people like Elon Musk and Mark Zuckerberg.” Ng pushed the opposite case: “But my worry is because of all the lobbying in the U.S. and the fear-mongering, building open source AI in America is struggling to compete with open-weight models coming out of China,” and warned that if China figures out a more cost-efficient way to build AI, “then things that are more cost-efficient have a fundamental business adoption advantage.” Li rejected the binary framing (“This debate, especially at the sweeping level of ‘we can only tolerate one,’ is a false debate”) and proposed a layered approach modeled on nuclear physics - open scientific papers, regulated uranium. The smallest common ground was that all three endorsed some level of regulation. The audience takeaway: the 2026 open-source-vs-regulation debate is not converging.

AI coding startup Cognition is reportedly raising at $40B, just three months after a $1B round at $26B

TechCrunch reported on 12 August that Cognition - maker of the Devin coding agent - is in talks for a new round at a $40 billion valuation, with the new figure tied to hitting a $1 billion annualized revenue run rate. Three months earlier, in May 2026, the company closed a $1B round at a $26B valuation. CEO Scott Wu had then confirmed Cognition was at a $492M ARR with enterprise Devin usage growing 50% month-over-month for six months. Customers named in the piece include Mercedes-Benz, NASA, and Goldman Sachs.

The story is the cleanest 2026 data point on the AI coding-agent funding thesis. $26B to $40B in 90 days, with revenue growth as the lever, is the same shape that the Blacksmith, Thrive Holdings, and Lovable rounds sketched on the same day.

Liquid AI ships LFM2.5-VL-3B, a 3B vision-language model that runs on a phone

The Hugging Face blog announced LFM2.5-VL-3B on 12 August, with the model card on LiquidAI/LFM2.5-VL-3B. The model is 3.1B parameters total, backs onto a SigLIP2 400M NaFlex vision encoder, fits in roughly 3 GB of memory, and ships with day-0 support in llama.cpp, MLX, vLLM, SGLang, and ONNX. Numbers reported: about 228 tokens/s on Apple M5 Max, 116 tok/s on AMD Ryzen AI Max+ 395, about 20 tok/s on a Galaxy S26 Ultra, and roughly 11K tokens/sec at high concurrency on a single H100 via vLLM.

The license is the Liquid-published “lfm1.0” (referenced in the model page metadata). Pre-training was on about 34T tokens with 4x more vision data than the prior release, and the post-training pipeline combined SFT with multi-reward RL. For local-AI readers the interesting data points are the hardware floor and the day-zero ecosystem coverage: this is the same week as DeepSeek V4 Pro 0813 and Ai2 OlmoEarth Embeddings, so the open-weight release tempo is genuinely hitting weekly.

Ai2 ships OlmoEarth Embeddings, open-weight Earth-observation embeddings for Sentinel-1 and Sentinel-2

The Hugging Face blog from the Allen Institute for AI went live on 12 August, introducing OlmoEarth Embeddings with code on GitHub. Three variants ship - Nano at 128 dimensions / 1.4M parameters, Tiny at 192 / 6.2M, and Base at 768 / 89M - all built from Sentinel-2 L2A, Sentinel-1 RTC, or both, with configurable pixel resolution from 10 to 80 meters. Exports are Cloud-Optimized GeoTIFFs with signed int8 values, where 127 is the maximum and -128 represents nodata.

The release fills a gap that the existing OlmoEarth Studio project had partially addressed: researchers now have a documented, open-weight embedding family for Earth observation, with public access to the weights and code. It is the third open-weight release in the window that the trend report flags - alongside DeepSeek V4 Pro 0813 and LFM2.5-VL-3B.

OpenAI-backed Thrive Holdings raises $2B at $12B to roll up AI-native businesses

TechCrunch reported on 12 August that Thrive Holdings - the Thrive Capital spinout that operates as a “private equity firm for AI” - closed a $2B round at a $12B valuation. SoftBank, D1 Capital Partners, and Altimeter Capital led; OpenAI took an ownership stake in December 2025 and embeds employees with Thrive’s portfolio companies. The platform now runs more than 70 businesses across verticals including accounting (Current, with 50+ firms and 2,000+ professionals), IT (Shield, with about 20 companies), and a new regulatory-services arm aimed at physical-asset industries like data centers, manufacturing, and healthcare.

The funding is the third “AI coding / enterprise / agent” raise of the day alongside Cognition and Blacksmith, and it pairs with the $400M Series C at $13.3B that Lovable confirmed the same day. The through-line is that the AI-agent enterprise thesis is now priced on capital terms.

Quick Hits

  • Anthropic Claude watermarks draw social-media backlash. TechCrunch reported on 12 August that the EU AI Act Transparency Code-driven watermarks - which embed invisible code identifying output as AI-generated - have triggered a wave of complaints about employer surveillance, academic-misconduct detection, and ghostwriting detection. A user who objected using Claude-written prose was mocked by commenters: “Bro couldn’t even complain about Claude without using Claude to write it.” Other users pushed back: “There is literally no good argument for why this isn’t a good idea. The only reason you wouldn’t want this is to lie to people.”
  • Lovable confirms a $13.3B valuation and raises another $400M. TechCrunch reported on 12 August that the vibe-coding platform hit a $13.3B valuation in a Series C led by Menlo Ventures and the Scaleup Europe Fund, with more than a dozen other investors. ARR reportedly hit $500M in June; the platform hosts 60 million projects and reaches 900 million monthly visitors.
  • Blacksmith’s valuation jumps almost 10x to $550M in less than a year. TechCrunch reported on 12 August that the AI code-testing startup closed a $45M Series B at a $550M valuation, led by Peak XV with GV and Y Combinator. Customers grew from 700+ to 5,000+ in under a year, including Mercury, Supabase, Clerk, Ashby, and Expensify. Founded 2024; CEO Aditya Jayaprakash.
  • 404 Media: AI-generated 3D models are 1 in 6 uploads on CGTrader, but only $1 of every $90 in revenue. 404 Media reported on 12 August that 20% of buyers found AI-generated models “not good enough,” 7% needed heavy editing, and only 5% said it “worked well” - covering marketplace data from June 2025 through May 2026. Among 3D-printing buyers specifically, only 4% said AI “works well” for that use case. CEO Dalia Lasaite framed the site as “AI-accelerated rather than simply AI-generated.”
  • Made by Google ‘26: Pixel 11, Pixel Watch 5, Pixel Tag, and Gemini features. TechCrunch reported on 12 August that the Pixel 11 starts at $899, the Pixel 11 Pro / Pro XL at $1,099, the Pixel Tag at $29, and the Pixel Watch 5 at $399. New Gemini features include extended Live Transcribe (American Sign Language via the Pixel Camera), a “Rambler” voice-input feature, and Circle to Search from the Pixel Camera.
  • 404 Media: Researchers show how Meta’s “pervert glasses” are used to harass women in Instagram pickup-artist content. 404 Media reported on 12 August on a University of Sydney study analyzing 350 Instagram videos from September 2023 to March 2026, linking covert filming with the Meta Ray-Ban always-record glasses to higher-severity harassment. 93.3% of the posts left comments open. Adam Mosseri said Instagram would remove such content; the article reports the videos remain findable.
  • 404 Media: A new tool unmasks the ad networks that track your location. 404 Media reported on 12 August on DecryptAds, a publicly queryable dataset that lets anyone investigate the ad-tech side of location tracking - the companion piece to the publisher-side (Twitch) and device-side (Meta glasses) stories.
  • 404 Media: The US government is monitoring anti-Flock TikTok and Instagram accounts. 404 Media reported on 12 August on four law-enforcement intelligence bulletins, obtained via public-records requests, warning cops of “extensive and ongoing chatter on social media” about destroying Flock cameras and advising them to “increase patrols around ALPR.” The bulletins covered Central Florida, Wisconsin, New Jersey, Colorado, North Florida, and New Mexico.
  • 404 Media: The manual for ICE’s electric shock gloves has been obtained. 404 Media reported on 12 August that the leak is the full technical manual for the G.L.O.V.E. (Generated Low Output Voltage Emitter), sold by Compliant Technologies. The manual states the gloves may contribute to “sudden death.” ICE plans to spend tens of millions on the device.
  • MIT Tech Review: AI agents access only about 45% of company data, with the data leaders reporting 100% trust in agent decisions. MIT Technology Review reported on 12 August on a sponsored survey of 300 data and tech executives (Google Cloud via MIT Technology Review Insights). Data laggards access 30% or less, data leaders over 70%. 66% of laggards say legacy systems limit agent scaling; just 8% of leaders report the same constraint. 69% expect to use agentic AI widely within two years.
  • Sandbar launches a voice-first AI ring, betting the post-screen wearable form factor is voice, not display. TechCrunch reported on 12 August that the startup has raised $36M total, including a $23M Series A led by Adjacent and Kindred Ventures. The Stream ring is push-to-talk rather than always-on; founder Mina Fahmi previously worked at CTRL-labs (acquired by Meta in 2019).

Worth Watching

  • The open-weight release tempo has shifted from monthly to weekly. DeepSeek V4 Pro 0813, Liquid AI LFM2.5-VL-3B, and Ai2 OlmoEarth Embeddings all landed within 36 hours. The interesting follow-up is whether analyst write-ups and community guides can keep pace when the public documentation is also weekly - the DeepSeek benchmarks went WeChat, Reddit, Hacker News, with no canonical DeepSeek page. For comparison, see how Qwen3.8-Max and its 27B sibling shipped open weights earlier this month - the open-weight cadence is no longer the only story, and Alibaba is now part of the weekly rhythm.
  • The privacy beat is now a four-surface story. In 48 hours: Twitch (publisher-side, default opt-in), the Meta Ray-Ban glasses (device-side, real-world harassment data), the location-tracking ad tool (ad-tech side, finally investigable), and the federal monitoring of anti-Flock accounts (state-side, surveillance-critic surveillance). The arc is the same in each case: someone is being watched, and the default is to keep watching.
  • AI coding is now priced on capital terms. $40B for Cognition, $13.3B for Lovable, $550M for Blacksmith, $12B for Thrive Holdings - all in the same 24-hour window. The thing to watch is whether the run-rate math holds past the next quarter, or whether the multiples snap back to the broader software baseline.
  • Anthropic’s watermark rollout is the first real user-side test. The EU AI Act Transparency Code is the lever, and the complaints are coming from the people who feel most exposed by it. The next data point is whether other providers follow Anthropic’s pattern, and whether the complaints drive a detector / remover ecosystem.
  • The Hinton / Li / Ng Ai4 debate is the cleanest 2026 snapshot of the open-source-vs-regulation split. None of the three positions have converged. The follow-up question is whether the next-generation lab founders (the founders of Cognition, Thrive, OpenAI spinouts) will be the ones who actually build the regulatory compromise Li sketched.

Coverage note: this roundup ran with a partial primary-source pipeline. The Guardian, BBC, Financial Times, OpenAI RSS, Anthropic RSS, r/LocalLLaMA, and r/selfhosted were blocked at the network layer. Top-of-window items are dated 12 August 2026, which is the window since the previous roundup.