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#OpenAI
From Radar
Radar · 2026-06-16
SpaceX buys Cursor for $60 billion and enters enterprise AI through developers
SpaceX is buying Anysphere, the maker of Cursor, in a deal valued at $60 billion, according to The Verge and Bloomberg. Musk is aiming at enterprise AI through a tool developers already use to write production code, not through another standalone chatbot.
Read →Radar · 2026-06-15
OpenAI wants one rulebook before states write fifty of them
OpenAI published a public policy agenda for AI covering frontier safety, youth protection, education, workforce transition and infrastructure. The real story is not just lobbying. It is an attempt to keep AI rules legible before fragmented regulation turns deployment into paperwork archaeology.
Read →Radar · 2026-06-10
OpenAI is using Oracle Cloud to solve procurement, not demos
OpenAI is offering its models and Codex to Oracle Cloud customers through existing cloud commitments. For enterprise teams, the interesting part is not the endpoint, but the way AI fits into contracts, governance and billing they already use.
Read →Radar · 2026-06-08
OpenAI is packaging AGI as public infrastructure
OpenAI published a plan built around an automated AI researcher, faster economic growth and “personal AGI” for everyone. The important shift is not the promise itself, but the tone: OpenAI is talking less like a product leader and more like a future steward of public infrastructure.
Read →Radar · 2026-06-05
Lockdown Mode cuts the riskiest prompt injection escape route
OpenAI has started rolling out Lockdown Mode for eligible personal ChatGPT accounts and self-serve ChatGPT Business. It does not stop prompt injection itself, but it limits outbound network requests, which are the channel an attacker needs to exfiltrate sensitive data.
Read →Radar · 2026-06-03
GPT-Rosalind moves from benchmarks toward governed science
OpenAI updated GPT-Rosalind for life sciences and is offering it in research preview to selected organizations globally. The more important move is not the scorecard, but the attempt to connect a model, Codex and bioinformatics tools into an auditable workflow.
Read →Radar · 2026-06-03
Wasmer shows Codex as leverage for small teams, not a magic compiler
OpenAI says Wasmer used Codex to build Edge.js in two weeks instead of an estimated year and accelerated development 10x to 20x. The stronger point is not the number. It is the shift in the developer role: less typing, more steering risky model work.
Read →Radar · 2026-05-27
Last Week in AI maps a crowded week around OpenAI and Gemini
Last Week in AI #341 connects Musk losing against OpenAI, Gemini updates from IO 2026 and other AI market signals.
Read →Radar · 2026-05-27
Codex helps build self-improving tax agents
OpenAI, Thrive Holdings and Crete built Tax AI for more than 30 accounting firms. The pilot processed 7,000 returns, saves about one third of practitioner time and improved sharply within six weeks through a feedback loop powered by Codex.
Read →Radar · 2026-05-27
Warp bets on an open-source agentic terminal with GPT-5.5
Warp is positioning the terminal as an agentic development environment rather than a command line wrapper. By open sourcing its client with OpenAI as a founding sponsor and leaning on GPT-5.5, it wants developers to set objectives and review outcomes while agents plan, code, test and open pull requests.
Read →Radar · 2026-05-26
LWiAI #246: one week, four fronts at once. Google I/O, agents, lawyers, safety
LWiAI Podcast episode 246 from 26 May 2026 is a map, not a single thesis. Google I/O, coding agents, legal pressure around OpenAI and safety research landed in the same week and sketch four simultaneous pressures on the AI market.
Read →Radar · 2026-05-22
Gartner names OpenAI a Leader in enterprise coding agents
OpenAI says Gartner named Codex a Leader in enterprise AI coding agents. For companies, this is mainly a procurement and governance signal, not proof of technical superiority.
Read →Radar · 2026-05-20
OpenAI moves Education for Countries toward national AI programs in education
OpenAI is moving Education for Countries toward national AI education programs. This is not only about ChatGPT access, but about shaping infrastructure, training, and operating habits around AI in the public sector.
Read →Radar · 2026-05-18
OpenAI and Dell bring Codex on-prem: enterprise wants an agent near its data, not in the cloud
OpenAI and Dell want to bring Codex closer to enterprise data, hybrid infrastructure, and on-prem environments. Less flashy than a demo, much more important for enterprise adoption.
Read →Radar · 2026-05-14
Sea deploys Codex to 87% of the team and treats agents as organizational change, not a plugin
Sea Limited is deploying Codex across engineering, with OpenAI citing 87% weekly active users. The interview with Shopee's David Chen is not just about faster coding. It frames agents as a layer over complex codebases, CI/CD, tests, and system design.
Read →Radar · 2026-05-14
Codex in mobile ChatGPT: the agent stops being a window on a laptop
Codex is moving into the ChatGPT mobile app, not as a travel toy, but as a control layer for long-running work inside real development environments.
Read →Radar · 2026-05-13
Fine-tuning is not dying. It is just no longer the default answer
Latent Space uses the pullback of part of OpenAI's fine-tuning API as a useful reality check: for most AI products today the first step is not tuning weights but better evaluation, context, retrieval, tool use and workflow. Fine-tuning remains a strong tool, just not a universal fix for a poorly designed system.
Read →Radar · 2026-05-12
Codex moves into finance: reporting and variance bridges without manual drudgery
OpenAI Academy positions Codex for finance teams: MBRs, reporting packs, variance bridges, model checks, and planning scenarios from working inputs. Less flashy than an app-generation demo, but more practical: an agent layer over repeated analytical prep work.
Read →Radar · 2026-05-12
Parameter Golf shows how coding agents change the pace of research iteration
OpenAI published lessons from Parameter Golf: more than 1,000 participants, over 2,000 submissions, a 16 MB artifact limit, and 10 minutes of training on 8x H100. The important part is not only model compression. AI coding agents changed the tempo of research iteration.
Read →Radar · 2026-05-08
Codex gets a safety architecture, not just a README disclaimer
OpenAI details how Codex runs in isolated environments: per-repo sandboxes, network restrictions, approval gates, and agent-native telemetry for safe enterprise adoption.
Read →Radar · 2026-04-28
OpenAI layers ChatGPT safety from model to abuse detection, but the numbers are missing
OpenAI outlines its layered approach to ChatGPT community safety: model safeguards, abuse detection, policy enforcement, and collaboration with external safety experts.
Read →Radar · 2026-04-23
OpenAI pays up to $25,000 for bio jailbreaks in GPT-5.5, but proof will be in aggregate results
OpenAI launches a bio bug bounty targeting universal jailbreaks in GPT-5.5, with rewards up to $25,000 for critical biological safety findings.
Read →Radar · 2026-04-21
ChatGPT Images 2.0 finally handles text in graphics, but production needs independent testing
ChatGPT Images 2.0 brings improved image generation focused on text accuracy in graphics, multilingual support, and advanced visual reasoning for production workflows.
Read →Radar · 2026-01-20
Cisco deployed Codex for enterprise defect fixes, but hard numbers are still missing
Cisco and OpenAI describe deploying Codex as an agent in enterprise engineering workflows: build automation, defect fixes, and a shift toward agent-native development.
Read →Radar · 2025-12-18
GPT-5.2-Codex targets long-horizon refactors, proof will be independent production tests
GPT-5.2-Codex targets long-horizon coding tasks across large context: large-scale code transformations, security fixes, and multi-file consistency.
Read →Radar · 2025-12-16
FrontierScience tests AI scientific reasoning, but a lab's own benchmark needs independent audit
OpenAI introduces FrontierScience: a benchmark for scientific reasoning tasks in physics, chemistry, and biology, focused on reasoning processes rather than factual recall.
Read →Radar · 2025-11-19
GPT-5.1-Codex-Max system card is worth reading, but trust it in proportion to its limits specificity
The GPT-5.1-Codex-Max system card describes two safety layers: model-level safety training and prompt injection protection, and product-level sandboxing with configurable network access.
Read →Radar · 2025-10-29
OpenAI opens policy-based content classification with open-weight safeguard models
OpenAI released gpt-oss-safeguard-120b and 20b: open-weight reasoning models where content classification policy is not baked into the weights but supplied at runtime. Organizations bring their own rules; the model reasons over them.
Read →Radar · 2025-09-05
Models hallucinate because of how we train and evaluate them, not because they are dumb
OpenAI's September 2025 post goes to the root of hallucinations: models learn to play the evaluation game, not to answer truthfully. If evals penalise admitted uncertainty more harshly than confident errors, models calibrate toward persuasiveness.
Read →Radar · 2025-08-27
OpenAI and Anthropic tested each other's models. The findings are instructive, the methodology still open.
OpenAI and Anthropic published results of a joint safety evaluation: they tested each other's models for misalignment, instruction following, hallucinations, and jailbreaking. For the first time, two leading labs show where outside eyes find their blind spots.
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