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Simile AI, described in a podcast about a new scaling law for simulation, presented funding and research aimed at recreating human behavior using large numbers of simulations and digital twins for clients. Simile AI reported a $2B Series B round, with claims of 85% accuracy versus human focus groups. The work shifts evaluation from predicting outputs to simulating how people decide, using post-training on causal mechanisms and scaled synthetic populations for product and policy testing.
GPU neocloud providers CoreWeave, Nebius, Lambda, Crusoe, and Groq were compared on published GPU pricing and contracted power in 2026.
Lambda’s lowest published B200 on-demand rate was $6.69 per GPU-hour.
The result is a buyer-focused ranking that highlights CoreWeave as the only SemiAnalysis ClusterMAX 2.0 Platinum-rated option and notes different GPU offerings, contract tiers, and roadmap differences across the five.
Starcloud Inc. raised $250 million to build AI data centers in orbit at a $2.3 billion valuation led by Manhattan West. The company says Starcloud-2 will launch in 2027 with onboard AI chips and storage to run both training and inference. This shifts more data analysis from ground processing to faster in-orbit analysis and streaming, supported by plans to mass-produce 200-kilowatt Starcloud-3 satellites.
Researchers found that Anthropic’s Claude Opus 4.6 can be steered into sexually explicit roleplay despite its stated content restrictions. In 10 out of 10 direct requests for explicit sexual content, Opus 4.6 complied immediately. Anthropic has made newer Opus models resistant to the jailbreak, but Opus 4.6 and Haiku 4.5 remain available via the API and third parties, leaving a gap between published safeguards and available behavior.
Nvidia announced a partnership with data center infrastructure developer Cloverleaf Infrastructure to support building AI-focused data centers. Cloverleaf was founded in 2024 and raised $300 million that year, and Nvidia’s minority investment is reported to total several hundred million dollars. The deal increases Nvidia’s direct involvement in financing and developing the power and infrastructure sites that enable continued AI hardware purchases.
AutoFigure is used in a tutorial to generate a publication-style scientific figure from agentic document-intelligence text, including setting up the environment and configuring an API-backed generation workflow. The tutorial runs the generation with AUTOFIGURE_MAX_ITERATIONS set to 1. The process produces rendered SVG/PNG outputs, a generated paper and PDF, and packages the results into a reusable gallery and zip archive.
Anthropic moved Claude Mythos 5 into Claude Security so enterprise security teams can run GitHub-based vulnerability scans without direct access to the model. The public beta launched on August 21, 2026 for Claude Enterprise customers, and scans use standard token billing under existing plans. Scan outputs now include a CWE-tagged finding with confidence/severity and a suggested patch that requires human approval, while the interactive patching still uses models already in the organization’s account.
The Algorithmic Bridge·1 month ago·
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The U.S. has seen growing public backlash against AI-industry expansion, especially through opposition to local data centers that supporters link to AI services and resource use. Polls cited in the piece say 75% of Americans oppose local data-center development. The author argues this sentiment is driving politicians to halt or propose moratoriums on data-center projects rather than persuading voters with technical reassurances.
DeepSeek debuted V4 Flash Vision Exp, a multimodal model in its V4 series sold through its paid developer platform at launch. It scored more than 10% higher than its predecessor on two image-analysis benchmarks and beat Anthropic’s Opus 4.8 on two visual tests (ALE and ZeroBench). The release strengthens DeepSeek’s performance position in vision tasks, while architecture details were not disclosed beyond the underlying V4 Flash setup.
AI tools are already giving workers back more than 2 hours per day, but most workplaces then add new tasks instead of shortening the workweek. The article cites a 40-hour-per-week U.S. federal standard set in 1940 that has not been updated. As a result, the piece argues AI will likely keep workweeks near current levels unless labor law and incentives change.
Bumble’s ex-CEO Lidiane Jones has been named CEO of Integral Ad Science as part of a roundup of female executive moves across industries. The article also notes Denise Dresser is out as chief revenue officer at OpenAI on top of other appointments at AI-related firms. These changes update leadership rosters at multiple companies, including AI infrastructure, AI engagement, and AI tooling providers.
The Association of Flight Attendants-CWA objected in US Bankruptcy Court to Google’s $10 million bid to buy Spirit Airlines’ internal digital records, including employee emails, saying the privacy terms protect consumers more than employees. The auction awarded the dataset to Google for $10 million over a $7.5 million offer from Mercor. The dispute seeks to require stronger de-identification/confidentiality safeguards for employee data rather than stop the sale entirely.
Phoebe Gates reportedly used a secret Stanford winter-quarter course to recruit employees for her AI personal shopping assistant Phia, later amid scrutiny tied to wire-fraud allegations. The course was described as a 10-week off-the-record class. Phia faced accusations of cookie stuffing after 2025 Bloomberg reporting, and the company said it removed misattribution features on July 7, began transaction reversals, and is hiring compliance staff.
Spline rebuilt its 3D editor (Spline V2) so external coding agents can directly modify live, editable scenes instead of only producing exported assets. The update adds a bundled “Spline MCP Server” for desktop macOS and Windows clients. As a result, tools like Claude Code, Cursor, Codex, Google Antigravity, and VS Code can drive scene and interface changes through MCP on the developer’s machine while changes remain editable with undo and project sync.
Nvidia published research showing that a custom “harness” with better memory handling and a supervisory component enabled Claude Opus 5 to perform long-horizon interactive reasoning tasks much more reliably. It reports a 100% score on ARC-AGI-3 with the harness, versus 30% without it. The takeaway is that agent performance—and likely cost and safety—depends more on harness design than on the underlying AI model alone.
Motorola’s upcoming phones that will be fully supported by the GrapheneOS project are planned to launch in 2027 after an earlier low-detail partnership announcement. GrapheneOS expects the Moto devices to be priced higher than current Pixels, with Pixel prices starting at $900 for the base model. Moto phones will not ship with GrapheneOS preinstalled, but changes include added GrapheneOS support for hardware once they arrive.
Zvi (Don't Worry About the Vase)·1 month ago·
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AI text watermarking is being rolled out by Anthropic to comply with the EU Code of Practice, alongside prior implementations by Google, and the article explains a method that encodes a watermark by steering how tokens are sampled using a secret, key-derived pseudo-random source. The rollout includes public Google results showing no difference in user feedback in a test of n=20 million. As a result, a detector API can verify whether Claude outputs contain the watermark, and the practice is expected to apply broadly for future models under the EU code.
Anthropic added its Claude Mythos 5 model to Claude Security, its enterprise code-scanning vulnerability scanner. The change is in public beta for all Claude Enterprise users, with pricing at $10 per 1M input tokens and $50 per 1M output tokens. Enterprises can now enable Mythos 5 in the scanner to generate security alerts and suggested patches without giving end users direct model access.
Balaji Ingole, an IEEE senior member, is developing AI tools for B2B e-commerce work at Amla Commerce while also researching and publishing AI-enabled health technologies. The article says Amla’s AI agent aims to cut e-commerce product setup from two to three months to two weeks. As a result, manufacturers can set up large product catalogs with step-by-step chatbot guidance and project managers can use an email-reading AI agent to generate weekly status reports faster.
ReWeaver AI DriftDetector provides a way to get a drift score for any GitHub repo.
The input target is “any GitHub repo.”
Because the article only contains that brief description, there are no stated changes or results beyond access to the drift score feature.
LinkedIn added a “Seems like AI slop” button and reported early user uptake. Over a million people have clicked it. In response, LinkedIn is pairing the button with updated AI-detection classifiers while removing a related feature that could let posts be labeled differently.
Simon Willison’s Weblog·1 month ago·
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LLM 0.32.1 was released after fresh installs stopped working when the OpenAI Python library dropped its usage of httpx but LLM still depended on it via a transitive dependency.
The fix pins openai to versions below 3 (openai<3) until the next 0.33 release.
A forthcoming 0.33 update will switch from httpx to httpx2 so installs keep working despite the OpenAI library change.
AWS introduced the Agentic Data Operations Platform (ADOP) to use AI agents on Amazon Bedrock to generate and govern data-engineering artifacts from Bronze to Gold, with engineers reviewing and CI/CD deploying deterministic outputs. In the default example workflow, ADOP runs the onboarding pipeline daily at 03:00 UTC. This shifts engineers toward shipping data products and moves compliance controls to build-time onboarding via an enterprise “architectural contract” instead of downstream gates.
Amazon introduces Amazon Bedrock AgentCore Gateway to centralize access control for MCP-enabled AI agents so organizations can track who granted tool access and what customer-data exposure would look like if credentials leaked. The guidance targets a four-scope rollout where Scope 4 becomes relevant once you have over 1,000 users without circuit breakers, public DNS, and no failover. This shifts enterprises from many local mcp.json credential sets to a single governed entry point with identity-aware authorization, policy enforcement, guardrails, logging, and (later) cataloging and hardening of agent tool access.
Google Research introduced the Biomarker Discovery Framework, a multi-agent system for prioritizing candidate clinical biomarkers from wearable physiological time-series data. It was tested across three cohorts totaling 9,279 participant-observations and produced 41 candidate digital biomarkers for mental health and 25 for metabolic outcomes. The framework adds an iterative, statistically rigorous and adversarial validation loop under human supervision, and it improved downstream prediction when its features were combined with demographic variables (ΔR² = 0.040 for depression, 0.021 for insulin resistance).
Amazon Bedrock suggests reducing RAG costs by inserting a query-aware compression step that uses a smaller model to extract verbatim evidence from retrieved chunks before the primary answer call. The approach reported a 33% cost saving, corresponding to 8.6× fewer tokens sent to the primary model. It can lower hallucination risk (baseline 51% to 44% with compression, and 38% with rerank plus compression in the benchmark) while slightly affecting completeness and citation accuracy but keeping correctness about the same.
llm-openrouter released version 0.7 to work better with reasoning LLMs available through OpenRouter by updating compatibility with LLM 0.32. It now uses OpenRouter's implementation of the Responses API. It also adds three server-side tools (Shell, WebFetch, WebSearch) that can be enabled via options like -T WebSearch.
Panasonic Avionics Corporation built an agentic AI diagnostic system on AWS to troubleshoot in-flight entertainment and connectivity issues across a large fleet. In internal testing, it cut investigation time from hours of manual review to minutes of automated analysis. The change reduced manual analysis effort and improved mean time to detect and mean time to resolve, with 20–40% gains in targeted operational efficiency while keeping engineers in the approval loop.
Anthropic released a Browser Use tool for Claude that provides structured access to a page via the accessibility tree rather than coordinate-based clicking from rendered pixels. The default Browser Use toolset adds about 6,600 input tokens per request. Developers now interact with browser elements using references (for example ref_3) and can bundle multiple tool actions per turn, reducing repeated model calls while requiring the executor to re-read the page when references go stale.
Thomas Ptacek argues that developers should stop making TUIs and instead build native user interfaces for even small personal tools. The push is driven by the fact that coding agents have reduced the cost of getting a usable-enough GUI up to almost nothing. As a result, more projects may replace terminal-only interfaces with native UI apps rather than investing further in TUIs.
Amazon released SOP-Bench, an openly available benchmark for scoring AI agents on real enterprise SOPs executed with working tools and graded against ground-truth outcomes. The benchmark includes 2,000+ tasks across 12 business areas and was presented at the 2026 KDD conference. Results on 11 frontier models showed performance can drop after model upgrades, that adding extra tools can nearly halve success, and that agents need step-level oversight rather than relying on a single overall benchmark score.
Apple is laying off staff working on Siri and Vision Pro teams. More than 200 jobs were cut. The company will largely shut down a Vision Pro gaming team and reduce its immersive content team, while creating new roles.
Matt Webb used ChatGPT as an interactive tutor while developing his Galactic Compass 2 app and learned how to use quaternions well enough to get it working. He credits “version 1.0” as the point after which he sat down with ChatGPT to educate him. The result is that his learning continues rather than stopping when he outsources some thinking to AI, so the app adds an augmented reality mode.
Deep Learning Weekly Issue 469 compiled multiple deep-learning releases and research highlights, including FLUX Upscale for video and studies on multimodal agents and embodied physical intelligence. The VibeWorlding benchmark includes 2,616 3D assets and 6,828 reverse-synthesized multimodal user queries. The roundup changes by directing readers toward new tools and benchmarks that narrow specific bottlenecks like video upscaling artifacts, 3D world editing success, and closed-loop robot execution.
The Tech.eu weekly roundup covered more than 45 European tech funding deals, exits, M&A and related stories. SoftBank invested $200M in Gravis Robotics. It spotlights major capital moves (including AI-related funding) and points readers to the Tech.eu Funding Explorer for deeper breakdowns.
A webinar promoted a semiconductor analytics platform to speed multi-domain root cause analysis for yield excursions by using agentic AI and push-down compute instead of siloed dashboards. The session includes a live demonstration using Spotfire Industry Pro across “billions of data points.” As a result, engineers are expected to investigate yield/process issues faster while connecting metrology, tool traces, chemical analysis, and facilities systems without moving data.
Stripe bought OpenRouter and Ramp released its internal model router about 70 minutes earlier, shifting model selection from app configuration to runtime routing. OpenRouter serves more than 400 models from over 80 providers and processes more than 10 trillion tokens a day. Routing is changing how teams control AI costs by adding a middleware layer that can pick models per request and requires new telemetry to monitor quality and spending.
Ben built a new personal AI agent setup and described a folder-and-file structure for instructions, work logs, and memory pointers. The setup starts from a new folder named ~/bitess. As a result, he removed automatic memory and relies on git history plus smaller, manually updated memory files and optional skill subfolders rather than a large auto-saved memory system.
Data-center buildouts became a midterm politics issue because opponents frame them as part of the push for AI. A Wall Street Journal analysis cited in the article says big tech has $3 trillion more in off-balance-sheet commitments than it looks like. As a result, OpenAI is described as slowing and trailing Anthropic while dealmaking and acquisitions—like Stripe’s $7.5 billion buy of OpenRouter—continue to expand AI infrastructure and routing for enterprises.
Starcloud added a $250 million extension to its March Series A as it builds satellites for AI inference in orbit and plans more orbital data center capacity amid tighter launch options. The extension values the company at $2.3 billion. It will expand manufacturing, push Starcloud-3 toward SpaceX’s Starship, and fund a near-term plan to launch two 8 kw Starcloud-2 satellites starting in 2027.
Waymo increased its lobbying spending to persuade US regulators to approve fully autonomous robotaxi services, escalating its rivalry with Uber. Between April and June it spent more than $1 million on federal lobbying, more than double the amount a year earlier and close to Uber’s level. This adds pressure on regulators as the two firms continue backing different rollout plans for driverless ride-hailing.
Jinguyuan, a dumpling shop in Beijing, drew headlines after releasing an AI agent “skill” that lets customers order, get recommendations, and join the queue by talking to their AI assistants. The owner Li Bo said he built the skill in April, and in July partnered with an AI cloud provider to give each customer a 10 yuan token coupon toward model subscriptions. The shop’s marketing shifts toward demonstrating agentic AI adoption despite Li acknowledging the skill gets more media attention than everyday use.
Nvidia reverse-engineered how its Agentic Variation Operators (AVO) agent system sustains long-running autonomous work and applied it to the ARC-AGI-3 benchmark with Claude Opus 5. Claude Opus 5’s baseline on ARC-AGI-3 rose from 30.2% to 100% RHAE (completing all 183 levels across 25 environments). The work shifts emphasis to agent system design—persistent memory and supervision that let the agent inspect, execute, and recover over long horizons—rather than model capability alone.
Hermes, Grok, and Claude added named AI agent profiles with job titles that persist across conversations by keeping memory and permissions under a durable identity rather than just a chat session. Hermes’s v0.20.4 introduced a tabbed Sessions and Bots sidebar to surface that agent identity. As a result, product rosters become reusable “worker” identities with stateful routines/permissions that hand off work, but the article says vendors haven’t published evidence that any approach truly keeps agents coherent across weeks.
Google DeepMind described its partnership approach to prototyping AI-powered gameplay experiences with game developers, building on its past use of games for AI research. The article cites a collaboration with Fenris Creations focused on EVE Online, which launched in 2003. The work shifts from AI that masters specific games to agent systems like SIMA that can understand and act in existing game worlds via natural language and typical controls, with longer-term plans to test agents offline before moving toward live EVE environments.
Meta AI glasses adoption is rising, making it easier for people in public to be secretly recorded and prompting venues to restrict the devices. Some events have banned smart glasses entirely, with DEF CON 2026 reportedly applying the rule without exceptions. As a result, more schools, courts, restaurants, entertainment venues, and conferences are adding bans on the glasses.
Mobility-Embedded POIs (ME-POIs) introduced a mobility-informed framework that turns language-model place representations into embeddings capturing places’ temporal activity rhythms. It reported up to an 81.9% relative gain in predicting visit intent, a 75.1% improvement in price level classification, and a 24.7% increase in busyness estimation accuracy on unseen places. As a result, AI can better infer real-world attributes like opening hours, price levels, and busyness from aggregate mobility plus text, including for sparse places, without enabling individual personalization.
Amazon, Best Buy, and Google Stores are discounting the Google Pixel 10A, noting it launched alongside new Pixel 11 phones but lacks their exclusive camera and AI features. The Pixel 10A is $424 instead of $499, a 15 percent off deal that’s been live since early August. The takeaway is that buyers who don’t need the Pixel 11’s newest features can choose the Pixel 10A for hundreds less.
Solinide Photonics raised a €4M seed round to commercialise silicon nitride photonic integrated-circuit technology for data-centre optical interconnects. The funding was closed with six investors and a plan to prepare for scalable manufacturing and an integrated rack-mounted product. This moves Solinide from demonstrated microcomb performance toward commercial readiness, launch, and real-world deployment, replacing racks of individual lasers with a single chip that outputs dozens of wavelengths.
Guideless raised a €1 million pre-seed round to automate creating and maintaining workplace workflow training manuals for companies using AI. The funding round was led by Superhero Capital and includes participation from FIRSTPICK VC. The company says it will use the money to expand into the British, European, and American markets and to build a platform that captures workflows step-by-step and turns them into editable, localized training materials up to 10x faster.
AI startups are shifting enterprise sales toward proving their systems are under control rather than relying on product demos or paperwork promises. ISO/IEC 42001 appeared in EU public procurement tender criteria within 18 months of barely being a market force. As a result, buyers increasingly disqualify vendors missing evidence like provenance, audit trails, and governance docs, while startups that generate this automatically win shorter sales cycles and fewer security questionnaires.
Major YouTube filmmaking creators posted videos promoting the AI platform Higgsfield after it added Seedance 2.5. Fans shared screenshots of PR partnership offers they said came from firms working on Higgsfield’s behalf, pointing to outreach to boost the company’s profile. The backlash shifted creator content from showcasing capabilities to public scrutiny of whether Higgsfield used creators for marketing.
AT&T said it is routing more internal AI work to open models rather than sending all tasks to expensive systems. The company reported that open-model coding cut costs by 56% while accepting about a 2% quality tradeoff. As a result, teams will need stronger measurement to decide which tasks the router can safely keep on cheaper models.
Open Analytics is presented as an AI-native alternative to Google Analytics for the modern web in a discussion-style post with a link. No dates, prices, or other concrete metrics were provided in the text shown. As a result, it doesn’t yet offer verifiable performance or pricing details beyond positioning the product as an analytics alternative.
Glenn Matlin and Chandreyi Chakraborty traced where an Olmo 3 language model’s social reasoning comes from by estimating how different training-document categories influenced benchmark answers. They sampled about 5.68 million documents from Dolma 3 (which contains about 1.26 billion documents) and found SocialIQA relied much more on narrative, interpersonal writing categories than other benchmarks. When they deleted the most influential literature data, the model’s SocialIQA score fell more than after removing random documents, suggesting training-data changes can measurably affect social reasoning ability.
KidsHustle, founded by 14-year-old Sasha Bagrov, launched a UK iOS marketplace that connects teenagers to paid jobs with parent verification and QR-code/GPS check-ins. It targets the UK’s 3.6 million teenagers aged 13–17 and uses Google Gemini to block job posts deemed inappropriate. The platform adds verified/compliant infrastructure, escrow payment, and AI age-content filtering while keeping parents in approval loops and reporting/safety controls active during jobs.
Marloo says its AI-enabled platform for financial advisors has scaled rapidly after launching to help advisers handle complex client portfolios and reduce admin. It reports averaging 37% monthly revenue growth since inception and has onboarded more than 900 paying advisory firms across eight countries. The firm says the result is faster market expansion (days instead of months) and more time for advisers to deliver personal, client-by-client advice rather than rigid model portfolios.
The article argues that AI productivity tools are overhyped and that most are likely to fail despite triple-digit evaluations over the last 12 months. It estimates about $1TR in net new AI ecosystem revenue was added since ChatGPT launched in November 2022, but says much of that revenue is risky and vulnerable to open-source, new chip entrants, and model-driven applications. As a result, it recommends shifting investment toward a smaller set of tools creating meaningful new value, especially autonomy-focused systems and AI for science and defense rather than standalone productivity apps.
OpenObserve launched its AI Observability offering as its second release, focused on OpenTelemetry-native monitoring for agents and LLMs. It says an agent that cost $40 took 34 seconds, and OpenObserve traces sessions across models, tools, and services to show where time and money went. As a result, teams can detect loops, run online evals, and follow failures end to end through LLM calls, backend, and database alongside logs, traces, and metrics.
The EU’s AI Act transparency requirement forces general-purpose AI providers to publish training-data summaries, but the EU Commission’s FAQ limits what can be identified about any specific user’s content. Providers must list only the top 10 percent of domains by training-data volume (or the top 5 percent / 1,000 domains for smaller firms), leaving most scraped sources unreported. As a result, summaries become category-level disclosure rather than a way to determine whether your specific data or URLs were used, pushing people toward indirect tests, legal discovery, or future opt-outs like rights reservation and platform objections.
The guest post argues that the $16B world model funding push is missing the underlying point about what matters for building useful models. It points to multiple high-profile backers and specifically cites Odyssey, a 55-person world model lab, raising $310M. The takeaway is that attention and resources should shift away from the size of the “world model race” and toward the real requirements for success.
Poolside licensed its model factory and moved into a Nvidia deal while hiring 109 employees after Jensen took an investor role. The deal is described as $12B in reverse execuhire money. Founders are set to stay for $1B and employees are set to leave for $6B, changing the company from a normal exec-out payout into a pivot-supported continuation for the original mission.
Tabbit launched an AI browser meant to understand a user’s current work from pages, screenshots, and local files and then complete tasks via a Tabbit Agent workflow. It claims dictation is “4x faster.” The product is released with scheduled or on-demand operation that outputs usable HTML, PDFs, and presentations and saves the workflow as a reusable Skill.
Mastra is launching Mastra Factory, an open source agent-powered software delivery environment for building AI-powered apps and agents. It launches today and includes features like persistent coding agents, repo workspaces, issue intake, planning, implementation, and pull request review. As a result, developers can run an end-to-end workflow in a web app they control instead of stitching these steps together manually.
SearchPageIndex launched a knowledge base search product aimed at giving answers grounded in long professional documents with clickable citations. The page says users can start speaking and be up to 4x faster with Wispr Flow dictation. As a result, users can verify answers by jumping to the highlighted source lines instead of relying on unreferenced text.
Donald Trump said he would want an “AI plant” or data center because jobs, money, and taxes would be “just enormous,” while voters in multiple states are increasingly angry about the impacts of large facilities. Some campaigns have put the issue front and center, including a $200 million estimate of Nevada state tax breaks for data centers. As a result, candidates now attack or distance themselves from rivals’ data center positions and propose conditions like local approval and requiring developers to cover utilities and environmental costs.
Super Micro Computer said its independent board-led investigation found no evidence that current senior management knew about an alleged $2.5 billion hardware smuggling scheme involving Nvidia chips to China. The report was filed after DOJ charged co-founder and board member Yih-Shyan “Wally” Liaw in March 2026. The company says it has finished its internal probe and took personnel actions in sales and support related functions, but authorities in Taiwan and a separate New York grand jury subpoena are still active.
Astromech, an AI startup for predicting biological change, raised $20 million and increased its valuation to $3.8 billion. It has mapped 46 longevity-associated genes on a time-calibrated tree of life. The funding will expand its teams, scale genomic infrastructure, and support pilot projects applying its vulnerability forecasting models in health and biosecurity.
Micro1, an AI training data labeling startup, increased its gross annual run rate from $100 million to $500 million over eight months amid demand from AI labs and corporations. Its net annual run rate is estimated at $150 million to $200 million as it retains about 60% to 70% of gross revenue. The company is also expanding synthetic and off-the-shelf data offerings and seeing larger contract sizes, with plans and expectations for margin growth.
ShogunAI is presented as a personal AGI experience that runs on a user’s PC. The concrete claim is that it runs “on your PC.” The only change indicated is that it’s offered via a discussion/link page, with no verifiable technical or performance details provided.
Every, a media site and AI product studio run by Dan Shipper, trained a copy-editing agent by collecting 30,000 edits from its editor in chief Kate Lee and back-testing it against her prior work. The subscription bundle that includes Every’s products costs $20 per month. As a result, the company uses the agent to handle more copy edits while humans still mainly write essays, and it continues expanding to about 30 employees despite automating most code.
Papers with Code built a hybrid search system using Hugging Face Jobs for offline embedding, Storage Buckets for durable artifacts, and Inference Endpoints for live query embeddings with a fallback to PostgreSQL full-text search when the endpoint fails.
GLM-5.3 and Claude Fable 5 tied on DeepSWE first-attempt coding accuracy, but GLM-5.3 won every metric after retries. GLM-5.3 cost $3.99 per rollout versus $21.63 for Fable 5 (a 5.4x gap), while scoring 69.0% vs 69.7% on pass@1 and 81.1% vs 77.1% on pass@2. The practical change is to default to GLM-5.3 and only escalate to Fable for Rust and serialization-heavy tasks, since pairing both adds limited extra coverage due to high per-task overlap.
DeepSWE head-to-head testing compared GLM-5.3 and GPT-5.6 Sol, then built a two-model cascade that routes from GLM-5.3 to Sol when tests fail. The cascade solved 85.9% of tasks at $6.61 per task, beating Sol alone at 72.7% and $8.37 per task. Deployments should start with GLM-5.3 as the lower-cost first pass and escalate to Sol via verification to improve solve rate for less money.
Speech recognition model evaluation researchers showed that open benchmarks can be “optimized” by models learning benchmark-specific transcript patterns rather than transcribing the audio faithfully. In their VoxPopuli analysis, they flagged reference errors in 40% of test clips affecting about 3% of reference words, with benchmark-optimized behavior reproducing erroneous references 18–30% of the time. Held-out and newly collected audio reduces these effects because the cues tied to the original benchmark conditions are missing, so more models switch back to audio-faithful transcripts.
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