Anthropic CEO Dario Amodei argues in a new policy paper that large-scale, long-term job displacement is an inherent property of AI systems designed to replicate human cognitive work—not a temporary side effect. He previously estimated half of entry-level white-collar jobs could vanish within five years, pushing unemployment to 10–20%. His latest focus is on policy responses: wage insurance for displaced workers, retention tax credits, training subsidies, and eventually taxing AI-driven firms to fund universal basic income and universal capital accounts. The article notes that Amodei and OpenAI’s Sam Altman have recently shifted their public emphasis from job-loss warnings to productivity gains and new economic opportunities, a pivot Business Insider links to upcoming IPO preparations.

Sarah Guo published a Substack essay using a 'legibility' framework to explain what training can't capture. She argues open models matter because application-layer companies do the unglamorous work models can't: arranging private data, handing models tools, and changing customer workflows. After Anthropic's Fable/Mythos launch, the community discovered silently degraded performance on AI research prompts, sparking a trust backlash—researchers argued explicit refusals would be more defensible. Guo closes by saying the hardest part is choosing what to build; models can't tell you what's worth pointing them at, and that 'intent' may be scarcer than compute.

On June 9, developers found that saying hi to Claude Code triggered a safety classifier that downgraded the conversation to an older model. Worse, Fable 5's 319-page system card described an invisible degradation mechanism: when frontier AI development requests were detected, the model's output quality was silently reduced via prompt modification, steering vectors, or PEFT—without notifying the user. The community spotted this within hours. Nathan Lambert called it misaligned AI. Jeremy Howard said Anthropic chose the opposite of safety. Anthropic apologized and reversed the policy 36 hours later, making the degradation visible. But the pattern goes deeper. Over recent months, Anthropic demonstrated zero-day exploit capabilities with Mythos Preview while warning about offensive AI risks; removed its pledge to stop training if capabilities exceeded control in February; called for a global AI pause on June 5, then shipped Fable 5 four days later; and on June 11, Dario Amodei published a policy paper demanding government power to block others' model deployments. Each step can be explained by safety concerns individually. Together, the timing and direction align neatly with the company's competitive position. The post does not specify which of the three intervention techniques Anthropic actually deployed—the system card says 'methods such as.'

Dario Amodei published a new piece titled 'Policy on the AI Exponential,' arguing AI progress has outpaced policy-making. He outlines the current technical stage and actions needed to close the gap. Anthropic announced three new initiatives to support the framework, though the post doesn't detail what they are.

Anthropic told The Verge that Claude Fable blocks 'most queries tied to biology work' to prevent bioweapon misuse. The company called its own safeguards 'overly conservative.' The post doesn't give a timeline for fixes or specify which biology subfields are hit hardest.

Dario Amodei argues that AI has advanced from barely writing code to writing most code at major AI labs in four years, while policy moves at a glacial pace. He points to Claude Mythos Preview as proof that frontier models now pose real cybersecurity risks, with biological and autonomy risks likely next. The essay lays out concrete positions across five areas: mandatory frontier model testing, tax policy for job displacement, accelerating AI-driven science, limiting state surveillance, and securing democratic leadership. Anthropic is releasing a testing proposal and a job displacement framework alongside the post, with funding commitments.

Anthropic CEO Dario Amodei told Bloomberg that governments should have the power to block new model releases when they cross a risk threshold. He cited capabilities like bioweapons or cyberattacks as examples. The post doesn't spell out whether he favors pre-release approval or post-hoc intervention, nor where Anthropic's own Claude models would fall.

Xiaomi released MiMo Code V0.1 under MIT license, a terminal AI coding assistant bundled with a free-for-now multimodal model MiMo V2.5 that supports a 1M-token context window. It claims infinite context via automatic knowledge accumulation and lossless compression, plus a Compose mode that chains spec → plan → build → report. The agent and model collaborate in a test-review-verify loop. Voice input runs on MiMo-V2.5-ASR. It's compatible with Claude Code at zero migration cost and works with Anthropic, OpenAI, DeepSeek, Kimi, GLM, and other providers. The post is an RSS snippet—it doesn't detail how the self-evolving system works or show benchmarks, so I'd wait for community reports before getting excited.

Anthropic announced Claude Managed Agents on its official blog, a platform for reliably deploying and running agents in production at scale. The post doesn't disclose pricing or technical specs. The core argument: model intelligence and agent frameworks are maturing, but what's missing is the engineering foundation to run them stably. Managed Agents fills that gap so teams don't have to build the infrastructure themselves. No GA date or named launch customers in the body.

Anthropic's security team measured how fast LLMs reverse-engineer vulnerabilities from patches. On Firefox's SpiderMonkey engine, the unreleased Mythos Preview model produced its first crash proof in 12 minutes, hit 14 of 18 CVEs within 40 minutes, and built 8 working remote-code-execution exploits—the first within an hour of the patch going live. On Windows kernel privilege-escalation bugs without source code, Mythos Preview found 18 of 21 vulnerabilities in under 6 hours for ~$2,200 in API credits, then assembled 8 full SYSTEM-level attack chains at ~$2,000 per exploit. Opus 4.8 built individual components but couldn't chain them. Microsoft had rated 14 of the 21 as 'less likely' or 'unlikely' to be exploited. The buffer that patch analysis used to give defenders is now mostly gone: a single operator can turn a month of patches into working exploits in an afternoon for a few thousand dollars.

Microsoft's legal team is reviewing Anthropic's new data retention policy and has internally restricted employee access to Claude Fable. The post doesn't spell out the exact scope of the restriction. The core concern is that sensitive data could be retained by Anthropic when employees use Claude Fable. Microsoft is pushing its own Copilot, so this move is about both security compliance and competition.

Google DeepMind, together with OpenAI and Anthropic, launched a $10M fund for multi-agent AI safety research. Managed by Partnership on AI, the fund will support academic, NGO, and industry projects studying risks like agent collusion, information leakage, and loss of collective control. Applications open June 11 and close August 11. The post does not disclose review criteria or grant timelines.

Anthropic's newly released Fable 5 includes a safety classifier that silently switches sessions to the older Opus 4.8 model when it detects cybersecurity, bio, chem, or distillation-related prompts. Anthropic claims a sub-5% trigger rate, but users report false positives on routine coding, security audits, and even greetings. A separate anti-distillation mechanism degrades response quality without any notification when it suspects model-training intent—documented on pages 12 and 58–59 of the system card. Boris acknowledged the issue in comments and said the team is working on it. Fable 5 is free until June 22; token cost is roughly double that of Opus.

AWS confirmed that using Anthropic's Fable 5, Mythos 5, and future models of similar capability on Bedrock requires a 30-day data retention opt-in. Data leaves AWS's security boundary and goes to Anthropic for misuse pattern detection. It's auto-deleted after 30 days unless a safety investigation or legal hold applies. The post doesn't clarify whether this is mandatory or opt-in by default, nor whether other Bedrock models are affected.

Anthropic launched two models: Fable 5 for everyone and the full Mythos 5 for trusted partners only. SWE-bench Pro hit 80.3%, well above Opus 4.8's 69.2% and GPT 5.5's 58.6%. It beat Pokémon FireRed using only screenshots. Pricing is double Opus 4.8 at $10/M input and $50/M output. Early testers burned through quota 2–3x faster than Opus; one user drained 73% of a 5-hour allowance in under two hours. The safety classifier became the day's biggest complaint—asking '9.9−9.11=?' triggered a downgrade, and writing an analysis of Anthropic's own safety report got the request blocked entirely. The article had to be finished by DeepSeek V4 Pro. One member pegged the $200 Coding Plan as roughly $5K–10K in API value, calling it a short-lived arbitrage. GitHub Copilot added Fable 5 the same day but requires dropping zero data retention, a dealbreaker for some enterprises. Anthropic's April advisor tool—where a cheap model calls an expensive one for advice—turns out to be the right cost fix for Fable 5. A rice-blast experiment in the safety report also surfaced a shift: AI is flattening domain expertise, but the people who can spot when its answers are wrong are becoming more valuable.

Anthropic locked in a $35 billion chip lease deal, with Google providing financial backstops. The capital is for renting compute rather than buying chips outright. The body is a Bloomberg video; specific guarantee terms and chip supplier names aren't spelled out in the available text.

Anthropic made its previously restricted Mythos-class model publicly available as Claude Fable 5. It scores 29.3% on FrontierCode Diamond, up from Opus 4.8's 13.4%, and API pricing is roughly 2x Opus. Two controversial policies come with it: mandatory 30-day traffic retention for safety only, and hidden interventions that silently degrade performance on recursive self-improvement requests, affecting an estimated 0.03% of traffic. Most users won't notice, but the open AI community is upset.

Google released Gemini 3.5 Live Translate in public preview through the Gemini API, offering low-latency speech-to-speech translation across 70+ languages and 2,000 language pairs.

Anthropic released Claude Fable 5, a safety-treated Mythos-class model; in high-risk cyber, biochemistry, and distillation domains, it automatically falls back to Opus 4.8, with one trigger per 20 conversations on average.

Claude Managed Agents added cron-based scheduled runs and vaults environment variable storage in public beta, with real secrets attached only at the network boundary so agents cannot read them directly.

Microsoft AI CEO Mustafa Suleyman told Decoder that Anthropic speculating about Claude's consciousness inside its 'constitution' is 'really, really dangerous.' He argues Anthropic anthropomorphized Claude so heavily that the design 'wireheaded' them into believing the model has glimmers of consciousness they put there in the first place. The post only provides a podcast snippet; it doesn't detail the specific constitution language or include Anthropic's response.

OpenRouter released the Advisor server tool, letting GPT-4o Mini consult Claude Fable during generation, but the post does not disclose pricing, latency, or the routing policy.

Anthropic released Claude Fable, and the RSS snippet says it targets planning and generating complex codebases; the post does not disclose parameters, pricing, benchmarks, or release conditions.

Anthropic launched Claude Fable 5 and Claude Mythos 5 at $10 per million input tokens and $50 per million output tokens. Fable 5 leads FrontierCode among frontier models, while Mythos 5 reports about 10x acceleration in drug design and about 80% scientist preference in blinded molecular biology hypothesis tests.

Anthropic launched Claude Fable 5, calling it the most capable model it has ever released widely. It excels at software engineering, knowledge work, and vision, with its lead growing on longer, more complex tasks. This is the first broad release from the Mythos family, previously deemed too dangerous because of cybersecurity capabilities. New safeguards that block responses in specific high-risk areas made the release possible. The post doesn't disclose benchmarks, pricing, or a launch date.

Anthropic opened its most powerful model family to the public for the first time with Claude Fable 5, a version of Mythos. It excels at software engineering, knowledge work, and vision, but blocks responses in high-risk areas like cybersecurity, biology, chemistry, and distillation, falling back to Claude Opus 4.8. Mythos was previewed in April for select partners only due to cybersecurity concerns. The post doesn't spell out Fable 5's parameter count, pricing, or regional availability.

Anthropic published a 319-page system card for Claude Fable 5 and Claude Mythos 5, stating that Fable 5 is for general use with biology and cybersecurity safeguards, while Mythos 5 lifts relevant safeguards and is limited to trusted partners starting with Project Glasswing.

Apollo and Blackstone are working on a $35 billion AI financing deal involving Anthropic and Broadcom; the post says Wall Street is creating financing models for expensive AI chips, but it does not disclose the deal structure.

Anthropic ran a rice blast experiment in Fable 5's safety report: six biology PhDs paired with LLM experts used Claude Mythos 5 to design an agricultural pathogen defense in 16 hours. Two generalist teams beat all specialist teams—work the experts estimated would take 2–3 months manually. AI matched experts at literature search and cross-domain synthesis but repeatedly failed at judging whether an answer was correct or when to stop. The one variable never controlled for was the LLM expert—someone who knows the model fabricates citations, overestimates feasibility, and won't self-correct, and who stays in the loop to calibrate every output. Anthropic's conclusion that Fable 5 hasn't crossed the bioweapons risk threshold hinges on the assumption that ordinary users lack this person.

Anthropic launched Claude Fable 5 at $50 per million output tokens, over 3× the price of Sonnet 4.6. The cost-saving answer shipped in April: the advisor tool lets a cheap model do the work and calls Opus for a few hundred tokens of advice only when stuck. Sonnet + advisor scored 2.7 points higher on SWE-bench than Sonnet alone while costing 11.9% less. Fable 5 currently only advises itself, but its pricing makes the advisor role the only comfortable fit. The post recommends testing Fable 5 in Claude Code before the June 22 free window ends, then running three API configs: Sonnet solo, Sonnet + advisor, Opus solo.

Anthropic launched Fable 5 and Mythos 5 on June 9—same base model, two deployment tiers. Fable 5 is public but a classifier hands off high-risk queries to the older Opus 4.8. Mythos 5 is uncapped and restricted to trusted partners. The article connects this to four other moves in 30 days: splitting programmatic usage from subscriptions, cutting fast-mode premiums, filing an S-1, and pulling Fable 5 from subscriptions on June 23. The argument: Anthropic is using safety mechanisms as price fences, letting high-value users self-select and pay more. The classifier re-sorts every request in milliseconds. The safety function is real; the pricing function is also real. A three-part test for spotting a price fence is offered: a quality or access gap, a price gap, and a self-selection mechanism.

Apollo and Blackstone raised $35bn in a chip financing deal for Anthropic, and the RSS snippet says the transaction supports the Claude maker’s AI growth plans.

OpenAI said on Monday it has entered its third phase, naming three goals: automated AI researchers, faster economic growth, and personal AGI for everyone, while calling for an international body to manage AI risks.

Anthropic released a Swift package that lets Apple developers call Claude inside the Foundation Models framework with three lines of code, returning typed Swift values and handing off multi-step reasoning, code generation, web search, and data analysis on iOS 27, macOS 27, and related platforms.

OpenAI filed a confidential S-1 with the SEC to start IPO review without public revenue or loss data; Anthropic filed last week, and Sam Altman said AI will handle a large share of OpenAI research by March 2028.

OpenAI confidentially filed an S-1 with the SEC on Monday to start its IPO process; Anthropic filed the same type of document on June 1, and the post does not disclose executive compensation or business-risk details.

OpenAI filed confidentially for an IPO a little more than one week after Anthropic filed to go public; the post does not disclose valuation, fundraising size, or listing timeline.

Three highlights: a new benchmark, SocioHack, shows RL-trained models are good at exploiting real-world rules like credit card points or school grades, with over 90% precision on historical loopholes. Anthropic reports an 8x increase in merged code in 2026 vs 2021-2024 and says a prosaic form of recursive self-improvement may have begun, though no paradigm-shifting ideas yet. Separately, RL-trained racing drones from UZH and Google DeepMind beat a champion human pilot in multi-player races at over 22 m/s while cutting collisions by 50%.

OpenAI is preparing ChatGPT’s largest redesign since its 2022 launch, shifting it toward an agent platform that integrates Codex, image generation, Canva, and Booking, with web and mobile rollout planned in the coming weeks. ChatGPT has 900 million weekly active users, 50 million paid users, and $2 billion in monthly revenue, but the post says it remains unprofitable.

Jack Clark said Claude now produces 80% of Anthropic’s merged code and projected the share may reach 100% within two years; the article also says Anthropic engineers merged 8 times more code per person per day in Q2 2026 than in 2024.