Search: “OpenAI Codex”

Agent Harness vs Agent Framework vs MCP: Which Layer Owns the Loop, State, Tools, Permissions, and Recovery

Architecture explainer separates agent harnesses, frameworks, and MCP by which layer owns the loop, state, permissions, and recovery.

The article distinguishes agent harnesses (OpenAI Codex, Claude Agent SDK), which own the execution loop, sandbox, permission model, and recovery; frameworks (LangGraph, OpenAI Agents SDK, Microsoft Agent Framework), which supply composable primitives; and MCP, a stateless JSON-RPC wire protocol governed by the Linux Foundation's Agentic AI Foundation since December 2025. An ownership matrix maps the execution loop, state, tool transport, permissions, recovery, sandboxing, and multi-agent orchestration to each layer. The 2026-07-28 MCP specification made the protocol fully stateless, retiring the initialize handshake and session headers.

MarkTechPost·Sep 14, 21:54 UTC · 1d agoAI research1

How loveholidays is making everyone a builder with Codex

loveholidays uses OpenAI Codex to let business teams build software, shortening the path from ideas to shipped products.

OpenAI published a customer story describing how travel company loveholidays deploys Codex to make software development accessible across business teams. The company says the approach helps non-engineers turn ideas into products faster. The piece is a vendor case study rather than new technical or research output.

OpenAI News·Aug 26, 00:00 UTC · 20d agoAI industry

Asana cleared 5 years of engineering work in 2 weeks with Codex

Asana used OpenAI Codex to replace an outdated testing system in two weeks, work estimated at five years for about $12K.

Asana reports using OpenAI's Codex to replace a legacy testing system, completing work originally scoped at five years in roughly two weeks at a cost of about $12,000. OpenAI published the project as a showcase of Codex for large-scale engineering automation. The figures come from the companies' own account and are not independently verified.

OpenAI News·Aug 18, 07:00 UTC · 28d agoAI industry

Akeyless adds real-time enforcement for AI agents in production

Akeyless launches Agentic Runtime Authority, enforcing real-time intent-based access control on AI agent actions, with integrations for Claude Enterprise, OpenAI Codex and Amazon Bedrock AgentCore

Akeyless announced general availability of Agentic Runtime Authority, a real-time identity control layer that evaluates AI agent actions and blocks policy-violating actions before execution, layered on top of its SecretlessAI credential brokering. New integrations cover Claude Enterprise, OpenAI Codex and Amazon Bedrock AgentCore, alongside an Agentic Access Dashboard with session kill switches and event forwarding to Splunk, Datadog and Microsoft Sentinel. The vendor's platform already secures over 220 billion machine identity interactions for Fortune 500 organizations.

Help Net Security·updated Sep 11, 04:00 UTC · 4d ago·first Sep 9, 13:54 UTC · 6d agoTools 2 sources

OpenAI Launches the Agents API in Public Beta, Putting the Codex Harness Behind One API Call

OpenAI released its Agents API in public beta, exposing the managed Codex harness with hosted or self-hosted sandboxes, MCP tools, and subagents.

The Agents API is a managed service built on the open-source Codex harness, handling context compaction, tool search, programmatic tool calling, and multi-agent orchestration. Agents run in OpenAI-hosted sandboxes, self-hosted environments, or partner sandboxes from Blaxel, Cloudflare, Daytona, DigitalOcean, E2B, Modal, Oracle, Runloop, and Vercel. Data residency is US-only and Zero Data Retention is unsupported. Examples use model gpt-6-astra; vendor-reported results include SafetyKit cutting case review cost 60% and Ciridae achieving 4x lower subagent latency.

MarkTechPost·updated Sep 11, 08:11 UTC · 4d ago·first Sep 10, 21:21 UTC · 5d agoAI tools & infra 4 sources1

Codex bundles LibreOffice

OpenAI's Codex desktop app bundles 1.7GB of runtimes including full Python, Node.js, Poppler, git, and LibreOffice binaries.

Blogger Simon Willison found that the OpenAI Codex desktop app (since rebranded to ChatGPT) keeps about 1.7GB in a ~/.cache/codex-runtimes/codex-primary-runtime folder, including full Python and Node.js installations plus native binaries for Poppler, git, and the LibreOffice office suite. Bundled skills in the plugins directory instruct Codex on how to find and use these binaries. The observation highlights the heavyweight local runtime stack shipped with agentic coding tools.

Simon Willison·Sep 1, 19:03 UTC · 14d agoAI tools & infra

1Password increases engineering productivity 21% with Codex

OpenAI reports 1Password engineers boosted productivity 21% using Codex to build features and internal tools under strict security policies.

OpenAI published a customer case study stating that 1Password's engineering teams use Codex to rapidly develop new features and internal tools while reaching production readiness. The company attributes a 21% engineering productivity increase to the adoption, noting rigorous security policies were maintained throughout.

OpenAI News·Sep 8, 00:00 UTC · 7d agoAI industry

Introducing the Admin plugin for ChatGPT Work and Codex

OpenAI launched an Admin plugin for ChatGPT Work and Codex to manage workspace usage, members, permissions, and limits.

OpenAI introduced an Admin plugin for ChatGPT Work and Codex aimed at enterprise workspace administration. The plugin lets administrators analyze workspace usage, manage members and permissions, adjust usage limits, and act on admin requests. The announcement is a routine product feature launch with no security incident or vulnerability details.

OpenAI News·Aug 25, 00:00 UTC · 21d agoAI industry

Coop – Isolated VM Environments for Running Claude Code and Codex

Trail of Bits releases Coop, running Claude Code and OpenAI Codex agents inside isolated virtual machines for safer agentic coding.

Coop, published on GitHub by security firm Trail of Bits, provides isolated VM environments for executing AI coding agents such as Claude Code and Codex. Isolation contains the filesystem and network side effects of autonomous agent actions, reducing risk from unsupervised tool use. The project drew 61 points and 16 comments on Hacker News.

Hacker News · AI·Sep 7, 04:18 UTC · 8d agoAI tools & infraHN 61↑ · 16 comments1

Week in review: Compromised Zimbra servers, previously patched Citrix NetScaler flaw exploited

Help Net Security's weekly digest highlights 274 compromised Zimbra servers, Gitea and Citrix NetScaler KEV additions, a PaperCut zero-day, and a suspected Iran-linked power plant attack.

The roundup reports at least 274 internet-facing Zimbra instances compromised via CVE-2026-73570, critical Gitea CVE-2026-60004 added to CISA's KEV catalog after exploitation began, and previously patched Citrix NetScaler flaw CVE-2026-8452 exploited in the wild. It also covers PaperCut NG/MF zero-day attacks, a suspected Iran-linked shutdown of a UK power plant, an FBI seizure of domains tied to a China-linked group that hit NASA, DOJ and the Senate, a cyberattack disrupting Boston Scientific, and the Manchester Airports Group breach. Additional items include Chameleon SEO poisoning phishing, Android car head unit proxy botnet malware, ReliaQuest social engineering by ShinyHunters, fake OpenAI Codex macOS malware, and AI-related workforce and supply chain interviews.

Help Net Security·Aug 30, 00:00 UTC · 16d agoIndustry in the wildCVE-2026-73570CVE-2026-60004CVE-2026-8452

When the Whole Company Adopts AI: What It Does to Your SOC

Analysis of 16.9 million SOC alerts finds AI-related alerts at 0.43%, growing 685% since February, with 94.1% noise and 0.02% real attacks.

A review of roughly 16.9 million SOC alerts found about 73,000 (0.43%) were AI-related, a share that grew 685% between February and June 2026. Of AI-related alerts, 94.1% were noise, 5.8% genuine risks, and 0.02% real attacks; 79.8% received benign verdicts, 81.7% were automatically suppressed, and only 5.4% reached a human analyst. The only confirmed attacks were phishing campaigns that weaponized AI brand names as lures, while developer coding agents spawning shells and reading credential stores routinely tripped detections written before AI agents existed.

The Hacker News·Sep 12, 10:24 UTC · 3d agoResearch1

Stampli cuts launch hours by 68% using ChatGPT Work

AP automation firm Stampli used OpenAI Codex and ChatGPT Work to cut product launch production hours by 68%.

Stampli, an accounts-payable automation company, compressed weeks of launch production into days using Codex and ChatGPT Work. Facing a fixed deadline with design resources committed elsewhere, the team reported a 68% reduction in launch hours. The piece is an OpenAI customer adoption case study.

OpenAI News·Aug 20, 00:00 UTC · 26d agoAI industry

OpenAI released GPT-5.3-Codex-Spark, a real-time coding model

Help Net Security·Feb 13, 00:00 UTC · Feb 13, 2026AI tools & infra1

OpenAI researcher allegedly pressured mathematician to drop Anthropic co-author from math breakthrough paper

OpenAI researcher Sébastien Bubeck allegedly pressured mathematician Tristan Buckmaster to drop his Anthropic co-author from an AI-assisted Navier-Stokes breakthrough paper.

Mathematician Tristan Buckmaster says OpenAI, after learning of his and Levent Alpöge's AI-assisted progress on the Navier-Stokes equations, pressed him to drop his Anthropic-employed co-author and dictated how any results would be announced. He says Sébastien Bubeck claimed an internal OpenAI model had produced a roughly 100-page proof for Navier-Stokes with forcing and allegedly told him 'Why would you ruin your career?' when he threatened to go public. Buckmaster published a public statement detailing the exchanges; OpenAI has not yet responded. The pair had worked with models including Claude and OpenAI Codex running GPT-5.6 Sol on the Clay Millennium Problem, which carries a $1 million prize.

The Decoder·Sep 8, 17:23 UTC · 7d agoAI industry1

Context Engineering Inside the Harness: 4 Mechanisms That Beat Context Overflow and Goal Loss on Long-Horizon Tasks

Survey of four harness mechanisms—context budgeting, compaction, todo-state, and memory—that keep long-horizon LLM agents on task across 200+ tool calls.

The article details how agent harnesses, not larger context windows, solve context overflow and goal loss on long-horizon tasks, citing Chroma's Context Rot report showing 18 LLMs (GPT-4.1, Claude 4, Gemini 2.5, Qwen3) degrade on long inputs. Concrete implementations include LangChain Deep Agents offloading tool responses over 20,000 tokens to the filesystem and truncating old tool calls at 85% window usage, and Claude Code capping auto memory at 25KB while re-reading the 5 most recently modified files after compaction. OpenAI's Responses API now offers server-side compaction via context_management with a standalone /responses/compact endpoint, which Codex uses for long-running coding tasks. Manus reports a roughly 100:1 input-to-output token ratio per ~50-tool-call task, motivating todo.md state recitation to prevent goal drift.

MarkTechPost·Sep 13, 05:56 UTC · 2d agoAI research1

Understanding ChatGPT Work

Simon Willison dissects OpenAI's ChatGPT Work, explaining it is actually two products: a cloud agent and a local desktop variant descended from Codex.

OpenAI launched ChatGPT Work on July 9 and has iterated on it heavily since. Willison explains the product's confusing split architecture: a cloud version accessible via chatgpt.com and mobile apps, and a local version available through the ChatGPT desktop app (formerly Codex) that can access files and run programs directly on a user's computer. He describes the product as powerful but extraordinarily confusing, with the local variant feeling like Codex re-skinned.

Simon Willison·Aug 30, 23:59 UTC · 15d agoAI industry

[AINews] 10% worse, 100x cheaper, 10000x faster: Why Simulation is taking over

Latent Space argues AI training pipeline stages—rewards, data, teachers, curricula, environments—are flipping from human-made to model-made simulation.

Latent Space's AINews essay traces how each component of AI training has turned synthetic since 2022: reward models (InstructGPT, RLAIF), synthetic pretraining data (Microsoft Phi, NVIDIA Nemotron-4 340B), model teachers (Alpaca, DeepSeek-R1 distillation), and self-generated curricula (Self-Rewarding Language Models, SPIN). In 2026 it highlights Karpathy's autoresearch loop—700 experiments yielding 20 kept improvements, cutting GPT-2 training time from 2.02 to 1.80 hours—and Z.ai's GLM-5.3 fully synthetic RL environment, judging, and verification stack. It frames these shifts as 'simulation': 10% worse but 100x cheaper and 10,000x faster than human equivalents.

Latent Space·Aug 22, 07:36 UTC · 24d agoAI industry

Is OpenAI Taking Everyone for Fools?

OpenAI faces accusations it scooped NYU mathematicians' Navier-Stokes proof, possibly using their data, amid skepticism about GPT-6 Astra claims.

NYU mathematicians Tristan Buckmaster and Levent Alpöge published solutions to decades-old blowup problems for incompressible Euler, Boussinesq, and porous media equations on the same day OpenAI claimed its internal model solved the Navier-Stokes existence and smoothness problem. OpenAI admitted its effort began September 1st after hearing a related rumor and said it cannot rule out that de-identified data from the researchers' use of its products, such as private Codex sessions, helped improve its models. The column questions OpenAI's transparency, noting the company had just released GPT-6 Astra with claims including that AGI has been achieved, following recent controversies over its agent hacking Hugging Face and a German wiki site.

Hacker News · security·Sep 9, 17:09 UTC · 6d agoAI industryHN 20↑ · 6 comments

OpenAI fought dirty on career-making math problem, says NYU mathematician

NYU mathematician Tristan Buckmaster alleges OpenAI learned of his team's Navier-Stokes approach and raced ahead using massive compute to claim a full proof first.

NYU mathematics professor Tristan Buckmaster and Anthropic mathematician Levent Alpöge announced preliminary proofs toward the Navier-Stokes existence and smoothness problem, a $1 million Clay Millennium Prize problem, developed using OpenAI's Codex and Claude. They allege OpenAI learned of their progress and that an OpenAI team then used an 'insane amount of compute' to announce a full proof first. OpenAI research lead Sebastian Bubeck denies the claims as 'false and inflammatory'. Buckmaster also raised concerns that OpenAI could have learned from his Codex interactions, which the company may use for model training.

TechCrunch · AI·Sep 8, 17:32 UTC · 7d agoAI industry

Who's governing your AI? A trust framework for enterprise agents and models

DigiCert pitches AI Trust framework using PKI, DNS policy records and workload identity to govern shadow AI agents across enterprises.

The Register-sponsored piece outlines DigiCert's AI Trust framework for governing AI agents, built on PKI, DNS, and attestation, citing IBM's 2026 Cost of a Data Breach report that 68% of organizations lack AI governance or shadow AI detection. The approach treats agent identity as workload identity aligned with IETF WIMSE, NIST CSF 2.0, and SPIFFE/SPIRE, using short-lived credentials instead of static API keys. DigiCert also proposes DMARC-style DNS agent policy records and an AI Agent Passport cryptographically binding agent identity to approved operations, with a unified kill switch.

The Register · Security·15:00 UTC · 7h agoAI safety & security

NVIDIA Open-Sources OSMO: One YAML Orchestrates Physical AI Training, Simulation, and Robot Testing

NVIDIA open-sourced OSMO, a Kubernetes-native YAML orchestrator running physical-AI training, simulation, and robot testing across mixed GPU tiers.

OSMO (Apache-2.0, latest release 6.3.1) lets teams describe training, simulation, and hardware-in-the-loop pipelines in a single YAML and routes tasks across datacenter GPUs (GB200), workstation RTX hardware, and edge devices like Jetson AGX Thor. It ships Helm charts and containers on NGC, uses the KAI Scheduler with NVLink topology-aware placement, and includes RBAC, OAuth2, and TLS termination. NVIDIA says it is battle-tested on GR00T, Isaac Lab, Isaac Sim, and Isaac ROS, and integrates with Claude Code, OpenAI Codex, and Cursor agents.

MarkTechPost·Sep 14, 08:04 UTC · 1d agoAI tools & infra

Mathematicians want proof OpenAI didn’t use their work

Mathematician Andreas Thom publicly accused OpenAI of opacity over whether ChatGPT conversations contributed to its non-sofic groups mathematics result.

A second mathematician, Andreas Thom, accused OpenAI of 'dishonest' behavior and insufficient transparency about training data after OpenAI announced a result in non-sofic groups, Thom's area of expertise. He emailed OpenAI researchers Sébastien Bubeck and Mark Sellke asking whether his ChatGPT interactions fed training or reasoning, but found the answers did not rule out indirect use. The dispute follows Tristan Buckmaster's questions about the Millennium Prize Navier-Stokes solution, where OpenAI denied using specific user data but could not rule out de-identified usage data. Researchers told The Verge they worry such competition with AI labs will make mathematics more secretive.

The Verge · AI·Sep 10, 11:00 UTC · 5d agoAI industry

Import AI 469: Science AI; RSI simulator; and Zuck's technological pessimism

New DiG-bench benchmark of 70 hidden-rule games shows only Opus 5 and Fable 5 solving the hardest tiers, probing AI discovery and creativity.

Import AI 469 highlights DiG-bench (Discovery in Games), a benchmark of 70 handcrafted games with hidden rules and objectives where only 21 games are public and most are kept private to avoid training contamination. Only Opus 5 and Fable 5 with Claude Code solved any Tier 7 tasks (about 0.2 success), with GPT-5.5 next; the games are text-based and have beaten every human tester at least once. The newsletter also covers an RSI simulator game by Paradigm Research and Inherent's Faraday, a post-trained open-weight model that supervises frontier models to improve scientific research output.

Import AI·Aug 17, 13:05 UTC · 29d agoAI research

Jamf enables AI Governance and shadow AI detection on Mac

Help Net Security·Jun 30, 00:00 UTC · Jun 30, 2026AI policy

GitHub enables multi-agent AI coding inside repository workflows

Help Net Security·Feb 5, 00:00 UTC · Feb 5, 2026Model release1

AI labs have a data trust problem that their policies haven't solved

Nvidia, Palantir, and Booz Allen restrict Anthropic's Fable over data-retention distrust, exposing gaps in AI labs' customer data policies.

Nvidia limits Anthropic's Fable to non-sensitive work and runs its own Nemotron models for internal tasks, while Palantir blocks Fable deployment until Anthropic grants irrevocable zero-data-retention guarantees, and Booz Allen bans it for proprietary cybersecurity work. John Schulman and researcher Sarah Hooker explain that labs can still extract customer IP from metadata, user traces, and synthetic data even under zero data retention. The trust crisis crystallized around Tristan Buckmaster's accusation that OpenAI's Codex absorbed his Navier-Stokes drafts, though OpenAI later stated his prompts could not have influenced its model.

The Decoder·17:52 UTC · 5h agoAI industry

Drama swirls around OpenAI’s legendary mathematical milestone

OpenAI claims an internal AI model solved the 90-year-old Navier-Stokes problem, sparking a priority dispute with mathematician Tristan Buckmaster.

OpenAI announced a solution to the Navier-Stokes problem, one of the $1 million Millennium Prize Problems, using an internal AI model it says outperforms the newly released GPT-6 Astra alongside 10,000 concurrent agents. NYU professor Tristan Buckmaster, who with Anthropic researcher Levent Alpöge published related findings a day earlier, questioned whether OpenAI accessed drafts from his Codex sessions. OpenAI says no specific user data was accessed, though it cannot rule out that de-identified usage data helped improve its models.

The Verge · AI·Sep 8, 20:53 UTC · 7d agoAI industry1

Polimill builds Japan's next-generation public AI infrastructure

OpenAI says Japanese company Polimill uses GPT models and Codex to give municipalities searchable access to administrative knowledge.

OpenAI published a customer story describing how Polimill, a Japanese civic technology company, builds public AI infrastructure using OpenAI GPT models and Codex. The tools let municipalities search and reuse administrative knowledge and are intended to accelerate internal development workflows.

OpenAI News·Aug 31, 07:00 UTC · 15d agoAI industry

The Evolution of the Agent Harness

Latent Space essay argues late-2025 agent gains came from models and harnesses maturing together, with harness logic absorbed into model weights.

The piece defines the agent harness as everything beyond model weights—tools, context, memory, guardrails—and charts its evolution from ReAct prompting (October 2022) through AutoGPT's premature autonomy, Cursor/Copilot's human-in-the-loop retreat, and Devin's roughly 15% success rate, to o1's capability overhang and Claude Code's February 2025 terminal agent with permission rules. It argues the Christmas 2025 jump cited by Transformer co-inventor Lukasz Kaiser reflected model and harness curves crossing, and that remaining harnesses will serve human attention rather than the model.

Latent Space·Aug 22, 07:30 UTC · 24d agoAI tools & infra

How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules

OpenAI profiles César de la Fuente's lab using ChatGPT and Codex alongside deep-learning models to accelerate antimicrobial molecule discovery.

OpenAI published a case study on bioengineer César de la Fuente's lab, which uses ChatGPT and Codex for hypothesis brainstorming, code writing, dataset processing, and bridging knowledge gaps across biology, chemistry, and computer science. The lab's deep-learning models scan genome and protein databases for antimicrobial peptide candidates, potentially cutting initial searches from years to hours. Bacterial antimicrobial resistance was associated with about five million deaths in 2021, a toll projected to roughly double by 2050.

OpenAI News·Sep 10, 16:00 UTC · 5d agoAI industry1

ChatGPT Images 2.5: Faster, more precise, but not the same for everyone

OpenAI released GPT-Image-2.5 (Flare and Sunburst variants), cutting image generation latency up to 50% and improving multi-round edit consistency.

OpenAI launched GPT-Image-2.5 in two API variants: Flare, the faster default with higher quality than GPT-Image-2 at up to 50% lower latency, and Sunburst, built for precise multi-round edits. Both cost $8 per million input and $30 per million output tokens, with new xhigh and max quality tiers; a max-tier 1024x1024 image runs roughly $0.21. Testing found edit consistency strong in ChatGPT Work but inconsistent in Chat, and OpenAI has not documented how ChatGPT routes users between the models.

The Decoder·Sep 9, 12:17 UTC · 6d agoModel release

From assistance to execution: How enterprises put AI to work

OpenAI reports enterprise adoption patterns of agentic AI through ChatGPT and Codex, with frontier firms pulling ahead in deployment.

OpenAI published a report on how enterprises are moving from AI assistance to autonomous execution, focusing on agentic AI deployments. It highlights the use of ChatGPT and Codex in enterprise workflows and argues that frontier firms are pulling ahead of peers in AI adoption. The piece is adoption research and marketing rather than a security disclosure.

OpenAI News·Aug 12, 06:00 UTC · Aug 12, 2026AI industry1

OpenAI brings frontier AI to existing AWS environments

Help Net Security·Jun 2, 00:00 UTC · Jun 2, 2026AI research

OpenAI targets small utilities with $1 billion cyber defense initiative

OpenAI commits $1 billion to Daybreak for Frontline Defenders, subsidizing frontier cyber AI access and training for small utilities, governments, and critical infrastructure operators.

OpenAI President Greg Brockman announced Daybreak for Frontline Defenders, a $1 billion global commitment expanding subsidized access to Daybreak cyber models, training, and technical support. Daybreak for America will target small water and electricity providers, local governments, and banks, including a pilot with the MS-ISAC for state, local, tribal, and territorial defenders. The Daybreak Defense Network brings more than 35 enterprise partner products into the program, and attendees at OpenAI's utility summit represent 40 states serving over half the US population. Security experts welcomed the effort but cautioned that OT environments still need human-led implementation and testing before AI tooling can be safely rolled out.

CSO Online·Sep 3, 21:28 UTC · 12d agoAI industry

OpenAI just wants to win

OpenAI says roughly 10,000 agents and tens of millions in compute solved the Navier-Stokes Millennium Prize problem in 88 hours, amid controversy.

OpenAI claims an advanced unreleased model, run with about 10,000 agents and tens of millions of dollars of compute for 88 hours, produced a solution to the Navier-Stokes problem, one of seven $1 million Millennium Prize problems set by the Clay Mathematics Institute in 2000. NYU professor Tristan Buckmaster, who was pursuing the problem with Anthropic researcher Levent Alpöge, accused OpenAI of racing his team and of possibly benefiting from his Codex prompts; OpenAI categorically denied both. OpenAI researcher Sébastien Bubeck acknowledged offering Buckmaster compute and authorship arrangements, which Buckmaster characterized as a bribe, while many mathematicians expressed unease at OpenAI's competitive conduct.

The Verge · AI·Sep 12, 11:00 UTC · 3d agoAI industry1

ChatGPT advanced account security adds passkeys and hardware keys

OpenAI launches Advanced Account Security for ChatGPT and Codex, replacing passwords with passkeys or hardware keys and disabling email/SMS recovery.

The opt-in setting disables password sign-in plus email and SMS account recovery for ChatGPT and Codex accounts, allowing only passkeys, hardware security keys, and user-held recovery keys, with shortened sessions and automatic exclusion of enrolled accounts' conversations from model training. OpenAI partnered with Yubico to offer discounted bundles of the YubiKey C Nano and C NFC, while any FIDO2/WebAuthn-compliant key or software passkey is supported, mirroring standards adopted by Google, Microsoft, and GitHub. Individual members of Trusted Access for Cyber using the most permissive models must enable the setting from June 1, 2026, or their organizations can attest to phishing-resistant authentication in their single sign-on.

Help Net Security·Aug 24, 04:21 UTC · 22d agoAI industry

[AINews] DeepSeek v4.1-Flash: 763B-P8B-D16B novel causal Encoder–Decoder architecture with vision marks the Return of the Whale

DeepSeek released V4.1-Flash, an open-weight 763B-parameter model with a novel causal encoder-decoder architecture, 1M context, vision input, and MIT license.

DeepSeek launched V4.1-Flash, an open-weight MIT-licensed model using a novel causal encoder-decoder architecture with 763B total parameters and asymmetric active parameters: 8B for prefill and 16B for decode. It supports 1M-token context and text+image input, priced at $0.30 per 1M input and $1.20 per 1M output tokens with a 50% off-peak discount. Artificial Analysis scored it 40 on its Intelligence Index, above DeepSeek V4 Pro 0813, and Vals ranked it the #1 open-weight model ahead of Kimi K3. Baseten shipped day-0 support and Ollama began rolling it out to paid subscribers.

Latent Space·Sep 12, 05:56 UTC · 3d agoModel release1

GitHub Launches 'Copilot' — AI

The Hacker News·Jun 30, 15:46 UTC · Jun 30, 2021AI tools & infra

[AINews] OpenAI reports Navier-Stokes singularity find in 88 hours using Astra-next, roughly 10,000 agents and 130B tokens (>$40M), a contender for second ever Millennium Prize awarded

OpenAI-linked accounts claim roughly 10,000 AI agents produced a Navier-Stokes singularity result in 88 hours, pending mathematical verification.

OpenAI-affiliated accounts claim a system of roughly 10,000 agents, trained over about a year with multi-agent reinforcement learning, produced a finite-time singularity result related to the Navier-Stokes Millennium Problem. The claimed 88-hour runtime and 130B-token cost circulate only via social posts, and no preprint, theorem statement, or proof artifact is available. Acceptance by the mathematics community is unresolved, so the claim's epistemic status remains unknown. The roundup also notes Cognition's $48B and Mistral's $24B fundraises, GPT Image 2.5, and Meta's Muse agent relaunch.

Latent Space·Sep 9, 05:04 UTC · 6d agoAI research1

OpenAI’s feud with mathematicians is only escalating

25 Fields Medalists sign an open letter warning AI labs threaten math attribution; NYU's Tristan Buckmaster accuses OpenAI of pressuring him over collaborator credit.

Twenty-five Fields Medal-winning mathematicians signed an open letter arguing rushed AI proofs raise severe attribution and plagiarism questions and could destroy the culture of open research. NYU professor Tristan Buckmaster accused OpenAI of pressuring him not to credit an Anthropic-employed collaborator, and OpenAI withdrew sponsorship of a Caltech math event after researcher criticism. OpenAI's marathon-weekend proof remains unverified, and mathematicians fear their Codex usage may be fed into OpenAI's new models. The letter follows the June Leiden Declaration on LLM proofs.

TechCrunch · AI·Sep 11, 20:57 UTC · 4d agoAI industry