Technologies
AI Gets Smarter, Safer, More Visual With GPT-4 Update, OpenAI Says
If you subscribe to ChatGPT Plus, you can try it out now.
The hottest AI technology foundation got a big upgrade Tuesday with OpenAI’s GPT-4 release now available in the premium version of the ChatGPT chatbot.
GPT-4 can generate much longer strings of text and respond when people feed it images, and it’s designed to do a better job avoiding artificial intelligence pitfalls visible in the earlier GPT-3.5, OpenAI said Tuesday. For example, when taking bar exams that attorneys must pass to practice law, GPT-4 ranks in the top 10% of scores compared with the bottom 10% for GPT-3.5, the AI research company said.
GPT stands for Generative Pretrained Transformer, a reference to the fact that it can generate text on its own — now up to 25,000 words with GPT-4 — and that it uses an AI technology called transformers that Google pioneered. It’s a type of AI called a large language model, or LLM, that’s trained on vast swaths of data harvested from the internet, learning mathematically to spot patterns and reproduce styles. Human overseers rate results to steer GPT in the right direction, and GPT-4 has more of this feedback.
OpenAI has made GPT available to developers for years, but ChatGPT, which debuted in November, offered an easy interface ordinary folks can use. That yielded an explosion of interest, experimentation and worry about the downsides of the technology. It can do everything from generating programming code and answering exam questions to writing poetry and supplying basic facts. It’s remarkable if not always reliable.
ChatGPT is free, but it can falter when demand is high. In January, OpenAI began offering ChatGPT Plus for $20 per month with assured availability and, now, the GPT-4 foundation. Developers can sign up on a waiting list to get their own access to GPT-4.
GPT-4 advancements
“In a casual conversation, the distinction between GPT-3.5 and GPT-4 can be subtle. The difference comes out when the complexity of the task reaches a sufficient threshold,” OpenAI said. “GPT-4 is more reliable, creative and able to handle much more nuanced instructions than GPT-3.5.”
Another major advance in GPT-4 is the ability to accept input data that includes text and photos. OpenAI’s example is asking the chatbot to explain a joke showing a bulky decades-old computer cable plugged into a modern iPhone’s tiny Lightning port. This feature also helps GPT take tests that aren’t just textual, but it isn’t yet available in ChatGPT Plus.
Another is better performance avoiding AI problems like hallucinations — incorrectly fabricated responses, often offered with just as much seeming authority as answers the AI gets right. GPT-4 also is better at thwarting attempts to get it to say the wrong thing: “GPT-4 scores 40% higher than our latest GPT-3.5 on our internal adversarial factuality evaluations,” OpenAI said.
GPT-4 also adds new “steerability” options. Users of large language models today often must engage in elaborate “prompt engineering,” learning how to embed specific cues in their prompts to get the right sort of responses. GPT-4 adds a system command option that lets users set a specific tone or style, for example programming code or a Socratic tutor: “You are a tutor that always responds in the Socratic style. You never give the student the answer, but always try to ask just the right question to help them learn to think for themselves.”
“Stochastic parrots” and other problems
OpenAI acknowledges significant shortcomings that persist with GPT-4, though it also touts progress avoiding them.
“It can sometimes make simple reasoning errors … or be overly gullible in accepting obvious false statements from a user. And sometimes it can fail at hard problems the same way humans do, such as introducing security vulnerabilities into code it produces,” OpenAI said. In addition, “GPT-4 can also be confidently wrong in its predictions, not taking care to double-check work when it’s likely to make a mistake.”
Large language models can deliver impressive results, seeming to understand huge amounts of subject matter and to converse in human-sounding if somewhat stilted language. Fundamentally, though, LLM AIs don’t really know anything. They’re just able to string words together in statistically very refined ways.
This statistical but fundamentally somewhat hollow approach to knowledge led researchers, including former Google AI researchers Emily Bender and Timnit Gebru, to warn of the “dangers of stochastic parrots” that come with large language models. Language model AIs tend to encode biases, stereotypes and negative sentiment present in training data, and researchers and other people using these models tend “to mistake … performance gains for actual natural language understanding.”
OpenAI Chief Executive Sam Altman acknowledges problems, but he’s pleased overall with the progress shown with GPT-4. “It is more creative than previous models, it hallucinates significantly less, and it is less biased. It can pass a bar exam and score a 5 on several AP exams,” Altman tweeted Tuesday.
One worry about AI is that students will use it to cheat, for example when answering essay questions. It’s a real risk, though some educators actively embrace LLMs as a tool, like search engines and Wikipedia. Plagiarism detection companies are adapting to AI by training their own detection models. One such company, Crossplag, said Wednesday that after testing about 50 documents that GPT-4 generated, “our accuracy rate was above 98.5%.”
OpenAI, Microsoft and Nvidia partnership
OpenAI got a big boost when Microsoft said in February it’s using GPT technology in its Bing search engine, including a chat features similar to ChatGPT. On Tuesday, Microsoft said it’s using GPT-4 for the Bing work. Together, OpenAI and Microsoft pose a major search threat to Google, but Google has its own large language model technology too, including a chatbot called Bard that Google is testing privately.
Also on Tuesday, Google announced it’ll begin limited testing of its own AI technology to boost writing Gmail emails and Google Docs word processing documents. “With your collaborative AI partner you can continue to refine and edit, getting more suggestions as needed,” Google said.
That phrasing mirrors Microsoft’s “co-pilot” positioning of AI technology. Calling it an aid to human-led work is a common stance, given the problems of the technology and the necessity for careful human oversight.Â
Microsoft uses GPT technology both to evaluate the searches people type into Bing and, in some cases, to offer more elaborate, conversational responses. The results can be much more informative than those of earlier search engines, but the more conversational interface that can be invoked as an option has had problems that make it look unhinged.
To train GPT, OpenAI used Microsoft’s Azure cloud computing service, including thousands of Nvidia’s A100 graphics processing units, or GPUs, yoked together. Azure now can use Nvidia’s new H100 processors, which include specific circuitry to accelerate AI transformer calculations.
AI chatbots everywhere
Another large language model developer, Anthropic, also unveiled an AI chatbot called Claude on Tuesday. The company, which counts Google as an investor, opened a waiting list for Claude.
“Claude is capable of a wide variety of conversational and text processing tasks while maintaining a high degree of reliability and predictability,” Anthropic said in a blog post. “Claude can help with use cases including summarization, search, creative and collaborative writing, Q&A, coding and more.”
It’s one of a growing crowd. Chinese search and tech giant Baidu is working on a chatbot called Ernie Bot. Meta, parent of Facebook and Instagram, consolidated its AI operations into a bigger team and plans to build more generative AI into its products. Even Snapchat is getting in on the game with a GPT-based chatbot called My AI.
Expect more refinements in the future.
“We have had the initial training of GPT-4 done for quite awhile, but it’s taken us a long time and a lot of work to feel ready to release it,” Altman tweeted. “We hope you enjoy it and we really appreciate feedback on its shortcomings.”
Editors’ note: CNET is using an AI engine to create some personalfinance explainers that are edited and fact-checked by our editors. Formore, see this post.
Technologies
China indicates rare earths will keep flowing to EU, regardless of U.S. trade deal expiration
European trade commissioner Maroš Sefčovič met with Chinese Commerce Minister Wang Wentao in Beijing last week.
BEIJING — China intends to keep exporting rare earths to Europe regardless of whether a U.S. trade deal with Beijing gets extended past January.
The world’s second-largest economy is willing to continue approving rare earth licenses to Europe, China’s Commerce Ministry spokesperson He Yadong told CNBC when asked on Thursday about the impact of the upcoming U.S. deadline.
Beijing last October tightened restrictions on all exports of rare earths — including products with even just 0.1% of China-sourced rare earths. The move followed a new U.S. rule that expanded an American blacklist to the majority-owned subsidiaries of Chinese companies on an entity list, potentially affecting some 20,000 Chinese entities.
However, both the U.S. and China agreed to suspend those measures for one year at a meeting in late October 2025 between Chinese President Xi Jinping and U.S. President Donald Trump. Ahead of the leaders’ latest summit last month, U.S. Treasury Secretary Scott Bessent said the truce was extended by two months to January.
Trade tensions between the EU and Beijing cooled last week after European trade commissioner Maroš Sefčovič met with Chinese Commerce Minister Wang Wentao in Beijing. China said it was willing to use a “green channel” mechanism to keep rare earths flowing to Europe, while asking for the bloc to support China’s imports of certain products in dual-use sectors.
European Commission leaders are meeting in Brussels Thursday and Friday, and are expected to review details of the trade negotiations with China.
Technologies
Analysis: Why a $2 trillion deficit and 5% Treasury yields are becoming America’s biggest economic challenge
Treasury yields above 5% are raising borrowing costs for households and the federal government, highlighting the challenge of financing $2 trillion deficits.
Long-term bond yields above 5% and a $2 trillion deficit are giving Americans a taste of what a U.S. debt crisis would be like. A true emergency would hurt much more, and isn’t baked in. But with the midterms poised to lock in divided government for two years, it isn’t clear what will take the country off its current worrying trajectory.
Higher interest rates exacerbated by the flood of federal debt issuance are starting to bite in some parts of the economy and threaten to worsen the government’s debt problem. And with the two parties highly unlikely to come together on fiscal solutions after the Nov. 3 midterms, any fixes are years off in the future.
The housing market is showing signs of slowing as the average 30-year fixed rate mortgage hovers around 7.5%. Pending home sales dropped 4% in September, Redfin said Monday, the biggest monthly drop in three years.
Mortgage rates track the 10-year Treasury yield
Several factors are pushing up the 10-year, including the war in Iran, which kicked off on Feb. 28 and precipitated the rise in long-term yields. Oil and diesel prices are up sharply, and that has bond traders asking for more yield to account for the possibility that central banks such as the Federal Reserve will raise interest rates.
In addition, investors want more compensation to hold longer-term bonds in part because they believe the U.S. government will continue to flood the market with them. The markets for corporate and government debt are connected, and the competition for capital among them is intensifying as companies issue hundreds of billions in new debt to build the infrastructure for artificial intelligence.
Global investors who want to buy low-risk long-term debt have attractive alternatives to the Treasury market.
If the U.S. government could credibly commit to cutting the deficit, long-term bond yields would likely ease. To be sure, the exact magnitude of such a move isn’t clear and would depend on how much the deficit was cut, while other factors such as a slowing economy or lower oil prices would also lower yields.
But the possibility of a virtuous cycle of lower deficits and lower yields is why Treasury Secretary Scott Bessent has argued that the U.S. ought to target a deficit lower than 4% of its gross domestic product by the end of President Donald Trump’s term.
There is almost no way the U.S. will hit that target. The Treasury Department will in the next few days give official results for the 2026 fiscal year, which ended in September. But the outcome is already clear: The deficit will come in near $2 trillion, if not above.
That is likely to put the deficit in the range of 6.0-6.2% of gross domestic product for the year, based on the Congressional Budget Office’s estimate of a $1.993 trillion deficit and a projection of third quarter GDP.
Higher rates make debt reduction tougher. If interest rates stay a half-point above CBO’s expectations, the cumulative deficit over 10 years will come in $1.9 trillion higher, the agency estimates. If rates overshoot by 1.5 points, that adds $6 trillion in deficits.
CBO expects the 10-year Treasury to average 4.3% over that period, compared to 5.3% today. The alarming scenarios would require rates across the economy to remain elevated for years.
“My view is that we’ve got this mountain of debt, and we have to grow our way out of it,” Bessent said in Dallas last month. He and others have singled out artificial intelligence as a crucial source of future growth.
AI could help but can’t fix the problem entirely. It would take a decade of 7.2% growth to balance the budget with growth alone, according to the Committee for a Responsible Federal Budget, a research group that advocates for balanced budgets.
GDP growth was recently revised up for the second quarter from 1.5% to 2.2% at an annualized rate. The acceleration that quickly would get us to 7.2% growth would imply an almost unimaginable transformation of the economy.
Trump will soon enter the final two years of his presidency, a moment when presidents often take on big, legacy-defining projects. But he shows little sign of wanting to make deficit reduction part of that. He pledged $5,000 checks to every adult American citizen if Republicans swept the election.
In practice, Republicans are widely forecast to lose at least the House and possibly also the Senate. Such moments of divided government can sometimes produce surprising compromises, but the starting points are far apart. Rep. Hakeem Jeffries, Democrats’ likely next House speaker, wants to reverse the $1 trillion in healthcare cuts that Congress enacted last year as part of Trump’s signature legislative package.
And that’s leaving aside the deep animosity between the parties.
The overall U.S. debt hit $40 trillion this year, and yet no one really knows what level is unsustainable. A full-on debt crisis likely remains much farther out in the future. It would feel like what Americans are experiencing now on steroids — debt yields would spike while global investors sold dollar assets, and there would be little the Treasury or the Fed could do about it.
For now, though higher yields are also attracting investors to U.S. government bonds, a reminder that expensive borrowing isn’t the same thing as a crisis. But the bottom line is that economics alone can’t solve the problem. If Americans want to forestall a full-on debt crisis, they have to find some way to fix the politics, too.
Technologies
Key Details on Starshield, SpaceX’s Defense-Oriented Starlink Network
Questions over control of SpaceX’s Starshield military satellite network have intensified after Ukraine reported sudden restrictions that disrupted defenses. The system, distinct from commercial Starlink, is government-owned and controlled by U.S. authorities.
Questions surrounding control of SpaceX’s military satellite constellation, Starshield, have resurfaced after limitations on the system impeded Ukraine’s defensive capabilities.
Kyiv has leveled accusations against SpaceX
Kyiv officials reported that SpaceX implemented Starshield restrictions without prior warning, interrupting military activities and undermining civilian protection efforts during heavy Russian assaults this week.
Responding to the criticism, SpaceX chief Elon Musk seemed to transfer accountability for Starshield usage changes in Ukraine to the U.S. government and President Donald Trump. Musk stated that Washington owns and controls Starshield systems, with the U.S. military and ultimately the president setting any usage boundaries. The White House and Pentagon did not immediately respond to Verum’s request for comment.
Here’s an overview of Starshield and its distinctions from Starlink.
What is Starshield and how does it function?
Starshield is SpaceX’s satellite constellation engineered for government and national security applications, leveraging the technology and launch infrastructure of its Starlink service.
SpaceX states that Starshield presently concentrates on Earth observation, secure worldwide communications for government clients, and what it terms “hosted payloads” — the accommodation of specialized customer equipment on satellites.
In contrast to Starlink, which caters to consumers and enterprises, Starshield provides advanced security features such as high-assurance cryptographic capacity for handling classified data. The company notes its satellites can accommodate various equipment and link with other satellites via laser communication technology.
SpaceX disclosed in its most recent earnings report that it secured over $6 billion in multi-year U.S. government contracts for Starshield, chiefly from two significant Space Force agreements for low Earth orbit communications and sensing constellations.
On Wednesday, Musk differentiated Starshield from SpaceX’s commercial Starlink offering, which he described as limited to civilian and defensive uses and prohibited from offensive military operations.
How does Starshield contrast with Starlink?
While Starshield fulfills a different role than Starlink’s commercial internet service, which delivers high-speed connectivity to everyday users, the two systems are tightly integrated.
Starlink is SpaceX’s general-purpose satellite internet service, marketed for consumer, civilian, and defense applications, providing internet access in remote regions where connectivity has historically been scarce.
Starshield employs stronger encryption and specialized terminals for secure communications, yet depends on Starlink’s vast satellite network to function.
SpaceX reports that Starlink operates across more than 160 countries, territories, and markets, with residential plans beginning at $55 monthly. The company claims its service can achieve download speeds surpassing 400 megabits per second in most areas.
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