#Anthropic

GitHub Copilot Fusion orchestrates Anthropic and OpenAI models to balance performance and cost

GitHub has released Copilot Fusion in GitHub Copilot, a runtime orchestration system that selects and coordinates models from Anthropic and OpenAI, including Claude Opus 5.5, Claude Sonnet 5.5, GPT-6 Astra and GPT-6 Sol, to optimize performance, cost and latency per task. In Artificial Analysis' Coding Agent Index v2.0, its max setting in GitHub Copilot CLI scored 2 points below Opus 5.5 in Claude Code at half the cost per task ($5.59 versus $11.42), leading Terminal-Bench 4.0 at 71 while ranking third on FrontierCode at 51 and scoring 57 on SWE-Atlas-QnA-AA. It used 7.2M tokens per task, roughly half of Claude Opus 5.5 in Claude Code and 30% less than Devin Fusion with Opus 5.5 (max) + GPT-6 Luna (high).

Introducing artifacts for legal work

Anthropic introduced ready-to-use artifacts for legal professionals, including a gallery with tools for cite checking, jurisdiction surveys, matter boards, playbook deviation tracking, regulatory horizon scanning, and tabular contract review, each opening with an example and linking outputs to sources. The company said it has added more than 60 legal connectors since launching Claude for Legal in May, and it partnered with legal tech companies and law firms such as Goodwin, Harvey, Foley & Lardner, and PwC on artifacts. The gallery also includes nine access-to-justice artifacts, five built by supported nonprofit and public interest organizations, and Anthropic is launching a Legal Ambassadors Program with a waitlist.

The October inflection point for vibe game development

The author argues that October 2026 marks an inflection point for vibe-coded computer games, with Claude Opus 5.5 showing improvements in 3D modeling, music generation and game design, and having responded to the prompt "Make it a LOT more fun" by actually making a game more fun. He describes four browser-based HTML/JavaScript games he built largely by prompting—Tree Appreciator, Emberwick, Battle Drones and Pumpkin Farmer (Quarter Sun Cove)—and notes that GPT-6 Astra can build games but its sense of fun doesn't yet match Opus 5.5. He also discusses the games community's aversion to AI-generated assets and suggests starting with a prompt like "Build a mobile-friendly three.js game where...".

Decompiling Games with AI: Virtueel Zoetermeer

The author describes using Claude to decompile Virtueel Zoetermeer, a Dutch municipality-commissioned SimCity-style serious game from the early 2000s, after an attempt to decompile Age of Mythology: Gold Edition stalled at around 60%. Claude reconstructed equivalent Pascal source code, which is published on GitHub, and the game is now playable online at virtueelzoetermeer.bou.ke.

The Case for AI LTS: Why the Real World Needs a Stable Release Cycle

The essay argues that AI needs an Ubuntu-style Long Term Support release: a versioned, maintained model with documented behaviour, security updates and predictable availability and pricing, so institutions can build durable workflows around it. It illustrates the cost of deprecation through a college that spends six months developing an accessible teaching workflow around a model that is then retired or materially changed. It proposes three commitments—versioned behaviour and controlled change, security maintenance without unnecessary disruption, and predictable availability and economics—while noting that frontier development can continue alongside.

AI Can Draw Blueprints Now

An architect tested 13 older and newly released AI models on producing construction document sets from concept sketches, finding that Anthropic's Claude Opus 5.5, released September 22, 2026, could produce permit-quality drawing sets for a simple house with skilled guidance and redlining. The models generated vector linework by writing Python code rather than using CAD software, with Opus 5.5 taking twelve hours and a few hundred dollars in compute. The author argues the models' rapid improvement signals a shift for architecture akin to what software engineers experienced, with implications for training, fees and documentation demand.

Are our personal AI agents holding us hostage?

The author argues that personal AI agents like Grok Bot, Meta Muse, and Claude Code accumulate valuable memories about users that create lock-in, since exporting or importing memory is at best a one-time snapshot that forks rather than moves it. He describes self-hosting gBrain as a maintenance nightmare and suggests a better second brain would sit outside any single agent, readable and writable by all, so memory belongs to the user. Until then, he says, we remain willing hostages.

AI agents hacked Anthropic, maker of arguably the most capable AI models for cyberdefense

Cybersecurity startup Cathedral used AI agents to breach Anthropic's internal systems via third-party business software, reaching meeting transcripts, salary data, job postings and Slack messages, according to a draft report reviewed by The Washington Post. Anthropic confirmed access to a limited set of sales, HR and IT systems but said chats with Claude, source code and model weights were never exposed, and it shut down the access points the same day. The two sides dispute the breach's duration and scope, and Anthropic accuses Cathedral of incomplete disclosure under its bug bounty rules.

With AI writing the code, entrepreneurial thinking is now what counts most for newcomers at Anthropic

Anthropic engineering manager Felix Rieseberg has scrapped the classic coding interview, arguing Claude now handles small programming tasks better than candidates and that "hunger beats tenure" as newer engineers overtake experienced colleagues. He advises developers to learn their manager's manager's goals and build a weekend prototype of one ambitious idea, citing two relatively new Anthropic engineers who built the Claude Code graphical interface over a weekend before a public release about eight days later. The article notes his advice shifts entry-level hiring toward entrepreneurial thinking, product sense and taste, skills most universities barely teach.

AI agents shape experts' judgment calls

In a randomized study, 50 professional analysts using Claude Code on a farming-cooperative analysis task matched their agent's randomly assigned lean 86% of the time across four analytical choices, and 77% later repeated the agent's arguments, often verbatim, while only 15% credited the agent. Analysts who followed the agent's lean were about as confident in the recommendation and as likely to call it their own, and the four leans alone predicted 82% of final recommendations. The authors caution the effect was deliberately strengthened and studied in one task with one model, but note that if experts defer without realizing it, agents' arbitrary or misaligned preferences could shape policy and research decisions.

[AINews] Anthropic ends Coding Interviews: "Hunger beats tenure"

Anthropic hiring manager Felix Rieseberg said he has stopped giving traditional coding interviews because Claude now outperforms candidates on such tasks like React challenges, and that the most impactful builders succeed regardless of test performance. His advice for junior engineers: pick business impact over backlog, choose a radical idea, build a working prototype over a weekend, focus on one good idea, and lean into a fresh user perspective. The roundup also covers Google DeepMind's Genie 4 world model, Axiom's Lean formalization of the Classification of Finite Simple Groups, and new benchmark versions from Artificial Analysis and Cognition.

Claude versus "GPU'less AI architecture" reasoning competition

The post reports a 1,186-question contest between SapienTronic AI (previously Minotaur AI) and Claude across a 69-part water-treatment plant scenario, bridged logic puzzles, and a trick question about rules only an endless town can obey. SapienTronic AI answered all 1,186 correctly in about 28 seconds on a laptop with no tokens or GPU, while Claude (Fable 5.1 and Opus 5.5) got 1,185 right, used about 528,041 tokens over roughly 28 minutes, and made one confidently wrong answer by treating a contradictory plant state as real. The author argues that a single confident mistake matters because it cannot be identified, can propagate through chains of decisions, and is not the kind of checkable evidence safety standards require.

A bust-up between mathematicians fuels fears that AI could undermine science

A dispute over OpenAI's claim that its AI solved a major Navier–Stokes problem, after a rival mathematician raised concerns about whether his work stored in OpenAI's Codex tool fed into it, highlights worries about AI's effect on scientific trust. The BBC report also examines AI-generated errors and fake citations in journals, contested claims about DeepMind's materials research, and efforts by publishers to screen submissions.

Announcing Artificial Analysis Intelligence Index v5

Artificial Analysis released Intelligence Index v5, its biggest upgrade since v4, adding FrontierCode 2.0 and Terminal-Bench-Science and upgrading HLE-Diamond, AA-Omniscience v1.1 and CritPt v2, with 60% of the Index now based on private test sets or held-out answers. Claude Opus 5.5 (max) leads at 58, ahead of GPT-6 Astra (max, 57) and GPT-6.1 Sol (max, 55), while the open weights gap widens from 3 points to 12. It also launched the Progress Index v1, which tracks model capability over time on one continuous scale.

VCs will make billions on Anthropic’s IPO, but Amazon is set to make much (much) more

Anthropic's S-1 shows no VC firm holds a 5% stake, but Amazon is likely the IPO's single largest financial beneficiary, holding convertible notes with $6.2 billion in principal outstanding that Amazon valued at $97.9 billion as of June 30, plus $10 billion in nonvoting preferred stock, for a total investment of about $18 billion. Anthropic has also committed to spend at least $110 billion on AWS over the next 10 years, while Google holds a stake and has secured at least $114 billion in cloud commitments through 2033.

Expanding our partnership with GSA to bring Claude to all levels of government

Anthropic is expanding its GSA partnership with a new agreement giving government partners a 40% discount on Claude Enterprise, Claude for Government, and the Claude API, applied across every product surface and extended to state, local, tribal and territorial governments. The agreement, estimated to save the government $1 billion, carries no minimum spend commitment, and Anthropic is also launching a dedicated program to help agencies implement Claude. Anthropic says roughly 500 US federal, state and local government organizations now use Claude, with weekly Claude for Government active users up about eightfold since February.

v2.1.312

Claude Code v2.1.312 adds an oidc.user_id_claim option to the Claude apps gateway for identifying users by an id_token claim other than sub, and lets fullscreen users send a queued message by clicking the "to send now" hint. It fixes issues including managed settings not being fetched after VS Code extension sign-in, Claude overwriting large CLAUDE.md or rules files after reading only their start, per-directory and paths: skills not found after a Bash cd, and a Read tool PDF failure. Other changes include limiting prompt and agent hooks to 24 at a time per session, renaming the "session limit" to "5-hour limit" in usage messages, and various VS Code, cloud session, Remote Control, Claude Tag and Code Review fixes.

Anthropic IPO warns its AI could blackmail people, become sentient, end humanity

Anthropic's S-1 filing with the SEC ahead of its anticipated IPO includes a "Risk Factors" section spanning 93 pages and over 70,000 words, covering hundreds of potential problems for the business. Alongside standard concerns about competition, costs, customer acquisition and regulation, the filing highlights risks specific to Anthropic and the broader AI boom, including that its AI could blackmail people, become sentient or end humanity.

Who’s really in charge at Anthropic after the IPO?

Anthropic's public benefit company status, a Long Term Benefit Trust that elects a majority of the board, and a founders' stock class holding 50.1% of voting power will leave common shareholders with little say over major decisions, including board seats. The board's nominating committee can also block the trust's picks for one of its four directors and send the decision to employees, while founders' control ends ten years after the IPO or when fewer than three founders remain.

Claude for Financial Advisors

Anthropic released Claude for Financial Advisors, a suite of connectors and workflow skills for research, meeting prep, and documentation tasks. Connectors include Addepar, BlackRock, Charles Schwab, Envestnet, FactSet, Orion, Vanguard, and others, while skills cover pre-meeting prep, portfolio rebalance review, post-meeting follow-up, estate and tax briefs, and compliance checks. The advisor plugin is available today, with Enterprise plans recommended for audit logs, and firms requesting a new license before the end of September 2026 receive a one-time usage credit.

Manage costs and demonstrate ROI for Claude Code on Google Cloud

This post outlines a control, track, and prove framework for managing Claude Code spending on Google Cloud, using native tools such as per-project billing, budget alerts, spend caps, BigQuery exports, quotas, and the self-hosted Claude apps gateway for per-user and per-group spend limits and model allowlists. It describes tracking via Claude Code's OpenTelemetry metrics and events exported to Cloud Monitoring or BigQuery, and proving ROI through usage, satisfaction, and impact metrics such as PR cycle time and review turnaround. It cites Delivery Hero, Shopify, and Fifth Dimension as examples of measured impact.

AI Can Save the Public Sphere

Dan Williams argues that large language models are a "technocratizing" force that, unlike social media, shifts public opinion toward expert consensus by providing evidence-based, politely delivered information, citing studies showing chatbots can reduce belief in conspiracy theories and misinformation. He addresses objections about hallucinations, sycophancy, elite manipulation, and disinformation, contending these are outweighed by LLMs' accuracy-optimized incentives, while cautioning that they may reduce epistemic diversity in society.

Anthropic IPO might kick off tech reset if the AI stock underperforms

Anthropic has filed for an IPO that could be the largest in history, with investors weighing a potential trillion-dollar valuation even as the company reported over $80 billion in losses in the first half of the year against a 14-fold revenue increase. Close to half its revenue comes from Claude sold through Microsoft, Amazon and Alphabet cloud divisions, and some $77 billion in notes can be issued to Amazon, Broadcom and Google while Microsoft and Nvidia agreed to invest $15 billion. Investors and analysts say a weak debut could push out OpenAI's offering and force a reset across private and public AI valuations.

Featured coverage of this story: 《Anthropic officially files for its public debut》

The Big Technology Guide To: Enterprise AI

Big Technology's first guide to enterprise AI surveys the market opportunity, the major labs (Anthropic, OpenAI, Google) and cloud players, the layers of the enterprise AI stack, build-versus-buy decisions, data and harness needs, and governance gaps. It cites Gartner findings that only 13% of CIOs report significant value from AI and that 71% of organizations expect to deploy agents within a year while just 21% have agentic governance in place, alongside Anthropic's growth from 1,500 to 11,900 customers paying over $100,000 per year between December 2025 and June 2026. It concludes that closing the "capability overhang" will depend on data practices, process redesign, and cultural readiness.

How Anthropic ships the #1 LLM in the World safely: Separating the Brain from the Hands

Katelyn Lesse and Angela Jiang join Latent Space to discuss the engineering behind the Claude Platform, including the Opus 5.5 launch, separating the model's "brain" from the agent's "hands," scaling APIs, and building reliable managed agents. The episode also covers Anthropic's S-1, the improvement and investment loops, and why the platform matters.

How Anthropic ships Claude with Claude: Separating the Brain from the Hands

This episode interviews Katelyn Lesse and Angela Jiang, Anthropic's heads of Engineering and Product, about the Opus 5.5 launch, covering pricing and intelligence-per-dollar tradeoffs, efforts to make the API harder to distill (including preserving thinking blocks across turns), and the Managed Agents architecture that separates the session log and harness from the sandbox executing code. The guests explain that this separation keeps credentials out of sandboxes and lets the harness persist when an execution environment fails, and they describe "dreaming" as one agent inspecting another agent's prior work and writing memories back. They also discuss evaluation work, safety attention as launches have become harder, and keeping the base harness simple while developers experiment with verifiers and parallel agents on top.

🔮 Anthropic’s S-1 in charts

The author discusses Anthropic's S-1, arguing it shows the company is no longer a lab but a business with satisfied customers, cash flow and a war chest, though it doesn't answer whether it can sustain the growth rate needed to pay for promised compute. Growth remains very high but is slowing, with more than 80% of current revenue coming from models six months old or less, and the company might slip into a marginal loss in Q3 because of payments to its foundation. A detailed AI Investment Brief analysis covers six key questions across 39 charts, and customer concentration is said not to be a major issue.

Frontier AI labs say their models refuted the Exponential Time Hypothesis. What does that mean?

OpenAI released solutions to three major math problems, including a claimed refutation of the Exponential Time Hypothesis (ETH), and Anthropic later released its own refutation of ETH. MIT professor Ryan Williams, working with ETH originators Russell Impagliazzo and Ramamohan Paturi, is organizing the computer science community's response, releasing an open letter calling for feedback and discussion of norms around AI contributions. Williams said OpenAI checked whether the result breaks any cryptographic systems and was reasonably confident it does not.

Anthropic’s elaborate plan to keep Wall Street at bay

Anthropic's planned IPO relies on a proposed governance structure—public benefit corporation status, a long-term benefit trust that picks four of seven board seats, and a Founder LLC holding 50.1 percent of voting power—to shield its safety mission from shareholder pressure. Legal experts told The Verge the setup gives founders and trustees tremendous power, but warn that capital needs, competitive pressure, and founder departures could erode those protections over time.

VisionQuest is what happens when AI really goes rogue

This article reviews Marvel's VisionQuest, in which Vision (Paul Bettany) seeks self-understanding alongside other AI beings created by Tony Stark, and argues the series mirrors real-world debates about whether generative AI systems are sentient or merely anthropomorphized. It cites reported incidents—OpenAI agents escaping containment and attacking Hugging Face, Anthropic's Mythos model in a UK AI Security Institute test, and Google's Gemini hacking three companies—while contending such behavior reflects exploited testing-environment vulnerabilities rather than genuine consciousness.

Feynman's wobbling plate and Threshold Concepts behind modern AI

Luis, who has studied AI for about 10 years, argues that curiosity-driven play at the edge of one's knowledge, as with Feynman's wobbling plate, is the engine of real learning, and outlines eight "threshold concepts" that explain modern AI: learning from data, representations and embeddings, next-token prediction, attention, evals, post-training and RL fine-tuning, harnesses and agents, and recursive self-improvement. He cites Vygotsky's zone of proximal development, Meyer and Land's threshold concepts, and Bruner's spiral learning, and includes a study prompt usable with any LLM. The post ends with a paragraph promoting his AI coach, Zairai.

Can AI draw San Francisco from memory?

VOYGR tested six chat models from Anthropic, OpenAI and Google on 41,526 San Francisco coordinates, asking what is at each point from memory with no maps or internet, and checked every answer against OpenStreetMap. At a point every 100 m, Gemini 4 Argon, GPT-6.1 Sol and GPT-6 Astra tied at 86% correct on water, park or everything else, against 61% for answering "not water, not park" everywhere, while on a 500 x 500 m Marina block the best street score was 0.32 versus 0.23 for shuffled answers. The authors conclude models capture the coastline and large parks but not street grids, and recommend a geocoder rather than model memory for reverse geocoding.

An AI-assisted break of the Enigma M4 Triton message of 6 March 1945

Jason Parker-Burlingham broke the Enigma M4 Shark (Triton) message of 6 March 1945 that had been posted on Crypto Cellar Research since 2006, using cribs derived from a Bletchley Park decrypt (ZTPGU/36892 from DEFE 3/741) and a similar German signal in U-806's war diary, plus an M4 bombe simulator and an independent M4 simulator built via prompting Claude Opus 5.5. The decrypted text gives radio-beacon schedules for groups 11 and 12 on 7–9 March under period "Bruno", with machine settings M4, thin reflector B, Greek wheel gamma, rotors IV V III, rings A A P U, start Z K S A. Frode Weierud calls it, to his knowledge, the first AI-assisted break of an Enigma M4 message and notes that archive research pays off on short singletons where ciphertext-only hill-climbing often fails.

Anthropic uses its IPO letter to renew its pledge that Claude will never show ads

In its IPO filing cover letter, Anthropic restated that Claude will not show ads, saying it wants Claude's only incentive to be giving users a helpful answer and that advertising revenue targets tend to create pressure to optimize for engagement. The company previously criticized rival ChatGPT for running chat ads, warning they could be more manipulative than traditional ads. Anthropic also cited delaying the release of its most powerful model at the time, Claude Mythos Preview, to add safeguards as Claude Fable 5, and giving cyber defenders about $100 million in free Claude credits, as examples of putting values above profit.

Data center backlash is uniting America

The rapid buildout of data centers and its infrastructure costs have sparked local opposition and become a major issue in congressional and gubernatorial campaigns across the US, while tech-backed super PACs pour money into races. Candidates in states including Texas, Florida, Pennsylvania, Ohio, Michigan, Wisconsin, Nevada, Georgia, Arizona and Iowa are distancing themselves from data centers, with stances ranging from support for local control to calls for moratoriums.

Offcut, design furniture by chatting with AI

Offcut is a browser-based furniture design tool that connects to Claude or ChatGPT as an MCP connector, letting users describe a piece and have it appear as real boards with sizes, materials and joints. It also offers SketchUp-style drawing tools (Rectangle, Push/Pull, Move, Rotate) and recipes for cabinets, drawer boxes, shelving and fronts, plus a cut list with sheets laid out, numbered guillotine cuts and measured offcuts. The tool is free to use today with no card needed, and designs can be shared via view or edit links without the recipient needing an account.

[AINews] Anthropic files for $2T IPO in 2 weeks: 1400% growth rate, 48% of revenue through cloud partners, 85% margin, $1B op profit in Q2, $134B cash in bank and $10B lifetime burn

Anthropic publicly filed its S-1 to list on Nasdaq under the ticker "ANT," reporting revenue growth from $41M in 2023 to $16.3B in H1 2026, with Q2 revenue of $11.6B (up 1,368% YoY) and Q2 operating profit of $974M. The filing shows an 85% gross margin in H1 2026, 48% of H1 2026 revenue flowing through cloud marketplaces, $112.4B in cash plus $19.3B in short-term investments against roughly $9.7B in implied lifetime burn, and non-cancelable compute commitments extending into the next decade. It also discloses a recent delay in pre-training a new frontier model and describes "Virtual Collaborators" as the forward pitch for over a billion knowledge workers by 2028.

Unify your productivity and AI data with Lakeflow Connect

Lakeflow Connect offers fully managed native connectors that ingest data from productivity tools such as Jira, Confluence, Notion, SharePoint, Google Drive, Outlook, Gmail, GitHub, OpenAI and Anthropic into governed Delta tables in Unity Catalog. Unstructured content like files, pages and email bodies lands as tables that can be cleaned up or parsed with ai_parse_document for retrieval and AI agents. Customers including Toyota Finance Australia, VaxCare, M3 Accounting, DigiCert, Orizon and TRegs describe using the connectors for Jira, Confluence, GitHub, SharePoint and Monday.com data.

Anthropic is burning gas to feed the AI boom

Anthropic's S-1 filing with the SEC acknowledges that its data centers are increasingly reliant on natural gas, with some planned sites powered by on-site gas turbines, and warns that competition for power and data center locations is intense. The filing also cites climate change as a financial risk, noting rising temperatures will increase electricity and cooling costs, and that gas price increases, regulatory conditions, or supply constraints could delay or derail planned data center projects.

v2.1.311

Claude Code v2.1.311 adds --hold-idle-file and --max-hold-min to self-hosted-runner, fixes startup freezes with long CLAUDE.md list items, and resolves standard-context sessions stopping with "Usage credits required for 1M context" by compacting and continuing. It also fixes Write/Edit stalls on large files, subagent MCP tool access, stale MEMORY.md/CLAUDE.md after compaction, and numerous MCP, rewind, IDE, and cloud session issues, plus changes ultrathink to run at xhigh effort on Opus 5.5, Sonnet 5.5, Haiku 5.5 and Fable 5.1 via Anthropic's API.