OpenAI contributes to a solution for a physics problem that had long vexed scientists. (Picture: generated)Having long said that discovery is the next benchmark, the model by OpenAI assisted researchers from the Institute for Advanced Study, Vanderbilt University, Cambridge University and Harvard in determining that gluonsin some cases have amplitude, a key finding in quantum research.
The model helped scientists by simplifying expressions and made a simple formula for this general case.
Then it spent nearly 12 hours reasoning the new problem, verifying the formula and «producing a formal proof.»
Anthropic secures what has become a normally enormous valuation. (Picture: Anthropic)The round is the second largest tech investment in history, and puts Anthropic close to the top of the valuation range for AI labs, having grown its revenue ten times for every year the last three years.
Their current run-rate revenue sits at $14 billion, they say, well within that range.
Codex-Spark is small, fast, and almost as good as the real thing. (Pictures: OpenAI)Thanks to their recent collaboration with Cerebras, the new model delivers «more than 1000 tokens per second while remaining highly capable for real-world coding tasks.»
The drawback is that it’s text-only and only has a 128K context window, and it’s supposed to be used «where latency matters as much as intelligence.»
Kanye West can now sing perfectly in Mandarin, thanks to ByteDance’s new video model. (Picture: screenshot)The new video generator, released on Thursday, is already being hyped by state media as bigger than the launch of DeepSeek, Reuters reports.
ByteDance has yet to publish any real numbers, but videos of Kim Kardashian and Kanye West singing in Mandarin have gone viral on Weibo and x.com with millions of views.
The free tier on Claude is leveling up, getting the most popular paid features. (Picture: Anthropic)Using Sonnet 4.5, these features were previously only available on the paid tiers.
But now, Claude can create and manipulate Office files and PDFs for free.
Connectors are also available, which make it possible to link to Slack, Canva and others.
Anthropic is also making Skills free. These are saved prompts and workflows as a kind of template, that can be invoked at any time for repetitive tasks.
Finally, «Compaction» is becoming available on the free tier, which «summarizes earlier context automatically, so long conversations can continue without starting over.»
Together, these comprise «Claude’s most-used features,» Anthropic says.
Codex is now rolling out to all engineers at the company, in close cooperation with the OpenAI team who built in «cloud-managed admin controls» and fail-safe processing.
They even helped onboard the Nvidia team, saying «It’s shocking how quickly they’ve adopted Codex», and that they move like a giant startup.
GPT-5.3-Codex was only launched last week, and is perceived as a possible profit engine, competing with Claude Code for enterprise customers.
Nvidia chips are available in China, but users need permission to buy them. (Picture: Adobe)Not much is known about the AI inference chips, or how they compare to Nvidia’s offerings, but ByteDance is going to be making about 100,000 of them «this year,» and then scale up to 350,000 units, according to Reuters.
ByteDance has been known to work with US chip producer Broadcom, and started seriously hiring chip specialists in 2022.
The new chips are set to be produced with Samsung in a deal that includes memory chips, which definitely sweetens the deal.
Production is advanced enough that Reuters’ sources say engineering samples are due by late March, which is the last stage before production.
A spokesperson for the company does not deny the report outright, but claims the information is «inaccurate,» Reuters writes.
Most US frontier labs are developing their own chips, as is Alibaba and Baidu.
The EU might decide that WhatsApp has to open for competing AI bots sooner rather than later. (Picture: European Commission)The European Commission said yesterday that it had notified Meta on possible action to open up WhatsApp to rival AI chatbots.
Meta banned all AI chatbots other than Meta AI from WhatsApp on January 15th, and while the EU can take a long time to investigate antitrust allegations — they are considering issuing an early order to «avoid Meta’s new policy irreparably harming competition in Europe,» says Teresa Ribera, The EU’s Executive Vice-President for Clean, Just and Competitive Transition.
WhatsApp has over 3 billion users worldwide and qualifies as a gatekeeper in EU parlance, subject to rules on equal access.
Meta says that «There are many AI options and people can use them from app stores, operating systems, devices, websites, and industry partnerships,» in a statement to Reuters.
The process following this formal notification is that parties can examine the EU’s files, reply in writing and then receive a hearing. After that, the Commission will consider «interim measures,» such as restoring access for competitors, even as the case moves forward in their systems.
After enjoying great success with GPT-5.3 on Codex, it seems to be ChatGPT’s turn this week. (Picture: generated)While touting a return to more than 10% monthly growth for ChatGPT and «insane» Codex growth, Sam Altman also said they are preparing to launch «an updated Chat model» this week, writes CNBC.
That would likely be GPT-5.3, debuted last week for Codex. It’s a blazingly fast and more capable successor to 5.2, and is said to be one of the first models used to make itself.
Ads are supposed to finance giving free users the latest tech and the most messages, OpenAI says. (Picture: OpenAI)The ads will be clearly labeled, separated from ChatGPT responses and won’t influence what the Chatbot says. Chats will be «kept private» from advertisers, OpenAI says.
— Our goal is for ads to support broader access to more powerful ChatGPT features while maintaining the trust people place in ChatGPT for important and personal tasks, they write.
Paid tiers other than Go won’t be seeing any ads at all, and the stated reason for them is to give more queries and responses to the ad-supported tiers, while keeping them fast and responsive.
It’s possible to turn off ads and get limited messages, and under-18s won’t be getting ads. They will also be disabled for «sensitive topics» such as health, mental health and politics.
The test is only for the U.S. market as it stands, and the plan is for ads to make up a little less than half of OpenAIs income once they get off the ground, CNBC reports.
For «work like rapid iteration or live debugging» Anthropic is letting users go fast, by toggling «/fast» on their console.
The feature is available in a «limited research preview» in the API for paid users with «extra usage» enabled, and there is a waiting list to get on it.
It’s the same model with the same capabilities and there is no change other than the speed — and cost.
The price for using fast mode is $30 for input and $150 in output for a million tokens, but there is a 50% discount until February 16.
*Best coding performance (57% SWE-Bench Pro, 76% TerminalBench 2.0, 64% OSWorld). *Mid-task steerability and live updates during tasks. *Faster! Less than half the tokens of 5.2-Codex for same tasks, and >25% faster per token! *Good computer use.
The new coding model is 25% faster — letting it do long-running tasks in a shorter time frame.
It’s the first OpenAI model that was built with itself. They used early versions of it to debug, manage deployment and diagnose test results, and say they were impressed with its capabilities.
Opus 4.6 should outperform most other frontier models as of now. (Picture: Anthropic)It’s a point release, but Claude just got a whole lot more capable, and now has a 1 million token context window.
It should be better at doing everyday tasks, and along with upgrades to Claude in Excel, Anthropic is also launching Claude in Powerpoint in beta with this release.
It also supports «agent teams,» letting you «spin up multiple agents that work in parallel as a team that coordinates autonomously.»
Opus 4.6 was also built by Claude, in what seems to have become an industry standard to use their own coding tools for new models. GPT-5.3-Codex was built in a similar manner.
As for benchmarks, it beats most frontier models on almost every one of them. It scores 65.4% on coding-level Terminal-Bench 2.0, and does 68.8% on the difficult ARC-AGI-2, and 53% on Humanity’s Last Exam for general reasoning.
Also new with this model is the advent of «Adaptive thinking,» which lets Claude itself decide when to use deeper reasoning, and different «Effort»-levels for each query, set by users, which could save a few tokens.