‘I certainly think there will be ripple effects if they don’t go well’, Srinivas says, referring to the AI giants that recently filed to go public.

US AI start-up Perplexity has plans to go public in 2028 regardless of the reception of OpenAI and Anthropic’s IPOs, the company’s co-founder and CEO Aravind Srinivas told CNBC on 8 June.

“Agnostic of these two companies, we were planning for something in 2028. So, that’s still remains the case,” he told the publication. Though he added that it is “important for the AI industry that these IPOs go well”.

Srinivas’ comments come as OpenAI, Anthropic and SpaceX all applied to go public within days of each other. Estimates place Elon Musk’s company SpaceX as the front runner in the IPO race with a targeted raise of $75bn at a $1.75trn valuation. While Anthropic and OpenAI are expected to be valued at around $1trn post listing.

“I certainly think there will be ripple effects if they don’t go well… SpaceX IPO this week will definitely be like a leading indicator to how Anthropic or OpenAI will go out.”

In a filing last month, SpaceX, for the first time, revealed its loss-making financial standing, reporting a net loss of $4.28bn on revenue of $4.69bn for Q1, compared with a net loss of $528m on revenue of $4bn a year ago. The company places its valuation at roughly 110-times its sales, with some analysts cautioning against its seemingly lofty expectations for growth.

“SpaceX IPO this week will definitely be like a leading indicator to how Anthropic or OpenAI will go out,” Srinivas said, but added that he believes the companies will do well in their public rounds.

“We are very happy for their success, because their success means they’ll be able to invest more into frontier model development. And every time AI gets better, Perplexity gets better,” he said.

Perplexity is an AI-powered search engine that competes with the likes of Google (and its newly revamped AI Search), and AI-powered browsers such as OpenAI’s Atlas. It was last valued at $20bn following a $200m round last September.

The start-up’s browser Comet orchestrates across its competitors by scraping the internet to provide conversational answers to search queries.

Earlier this year, the company launched ‘Computer’, an AI agent that acts as a general-purpose “digital worker”.

“Computer takes a goal, like build a website, analyse a dataset, or research a market and builds and runs the entire workflow to deliver it, working on its own for hours or even months,” Perplexity explained.

“We actually want competition and progress on all levels, be it frontier or local models and open source, and that will position us really differently from the rest and position us well to go for an IPO like one or two years down the line,” Srinivas told the publication.

“I think Google’s equity raise recently shows that the market wants to invest in AI frontier,” he added. Last year, Perplexity made an unsolicited $34.5bn offer to purchase Google’s Chrome browser. The deal did not materialise.

Perplexity has come under repeated legal threat from the likes of the BBC, New York Times, Wired, Forbes and even Amazon over alleged content scraping. Late last year, Amazon sued Perplexity, demanding the company’s AI browser agent Comet stop making purchases on behalf of users online.

Meanwhile, Cloudflare delisted Perplexity’s crawler from the 24m-some websites it protects over concerns that the bot engaged in stealth crawling tactics.

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Perplexity co-founder and CEO Aravind Srinivas. Image: TechCrunch via Flickr (CC BY 2.0)

More four-year-olds are enrolled in state-funded preschools than ever before, but the quality and availability of preschool programs have experts concerned about creating a system of haves and have-nots.

“If providing high-quality preschool education to all 3- and 4-year-olds were a race, some states are nearing the finish line, others have stumbled and fallen behind, and a few have yet to leave the starting line,” an annual report from the National Institute of Early Education Research states.

With the amount of funding and quality varying by state, it means that access for families in states that aren’t investing still widely varies.

The report, titled “State of Preschool: 2025 Yearbook,” breaks down the annual spending, quality and enrollment numbers across early childhood education programs in the U.S. The latest found states hit an all-time high for both spending and enrollment, but the quality of the programs remains a concern.

“We’re trying to make sure states are also thinking about quality,” Allison Friedman-Krauss, an associate research professor at NIEER, says. “Right now, it’s more about access. And we don’t want them to forget about quality.”

More Funding – But Not Always More Quality

The report found funding peaked at nearly $14.4 billion, though that was largely driven by a handful of states: $4.1 billion in California alone, along with $1.2 billion in New Jersey and $1 billion in New York. Those three states accounted for nearly half (45 percent) of all state pre-K spending.

More than two dozen states also increased their preschool spending, which can go toward things like improving teacher-to-student rations and improving teacher compensation, the latter which has long been a concern.

While states still increased their spending on pre-K this year, the rate at which states are investing is slowing down. Adjusted for inflation, each state spent an average of $45 more per child than the 2023-2024 year. However, last year’s increase in spending was 16 times as large.

New Jersey, Oregon and the District of Columbia gave more than $15,000 in state funding per child enrolled in preschool. Six other states (California, Connecticut, Delaware, Michigan, New Mexico, and Washington) spent more than $10,000 per child enrolled in pre-K. Twenty eight states overall spent more funding per child, adjusted for inflation, than past years.

Seventeen states spent less on preschool in 2024-2025 than they did in 2023-2024, when adjusted for inflation. The researchers attributed the spending decline in part to overall state deficits and falling enrollment across many states.

However, that’s not always the case. New Jersey had a budget deficit but invested an additional $100 million into expanding preschool programs for all.

Pointing toward this, Steve Barnett, director of NIEER, argues that it’s all about state priorities: “That’s a conscious decision to say we’re going to spend less,” he says. “And you have to ask if the declining enrollment – even if not intentional – is a way to reduce spending [in the sector]. As opposed to, ‘Maybe we should work on getting parents to enroll their kid.’”

The boost in funding did not always correlate to better early childhood education programs. Only six states met all of NIEER’s 10 quality standards benchmarks, which includes a maximum class size of 20 students, a requirement that teachers have bachelor’s degrees and a classroom ratio of at least one staff member for every 10 students.

States looking to enhance preschool quality should focus on class size and teacher pay, Barnett argues.

Teacher pay and class sizes account for most of the money, and once states have improved those, other metrics, like curriculum supports and health screenings, are easier to pay for later, he adds.

But changes won’t happen overnight.

“It does take time. You can’t just wave a magic wand and have classroom size and teachers’ pay magically fixed,” Barnett says.

NIEER’s Friedman-Krauss, pointed to Alabama and Georgia as examples of slowly, but surely, increasing preschool quality. Georgia hit all 10 quality benchmarks this year. Friedman-Krauss credits the improvement to a $97.6 million investment by the state, which helped lower classroom size from 22 to 20 and increased teacher pay.

“We make a big deal of it because it’s serving most of the 4-year-old [children] and hitting all the benchmarks,” Barnett says. “It’s a state that lost them and came back even stronger; that’s a good sign.”

Lion’s Share of Enrollment Only in a Few States

Enrollment, similarly to funding, reached an all-time high nationally last year, with 1.8 million children during the 2024-2025 school year. But roughly half of that comes from four states: California, Texas, New York and Florida.

Notably, a dozen states had more than half of their four-year-olds in state-funded preschool programs, with the District of Columbia topping the list: 94 percent of four-year-olds were enrolled in their state programs. California’s enrollment gains were buoyed in part due to the state’s universal pre-K promise.

However, twenty states enrolled fewer preschoolers in 2024-2025 than the prior year. Some could blame the dip on declining birth rates. But when adjusted by population percentage, 21 states still saw a dip.

For some states, the enrollment decline was steep. Indeed, six states (Arizona, Florida, New York, Ohio, Oklahoma, and Wisconsin) decreased enrollment by more than 1,000 children.

Three-year-old students made up only 9 percent enrollment across the nation, up from 5 percent a decade earlier. Some states are acting to counter this. For example, Illinois and New Jersey are both focusing on expanding preschool programs for three-year-olds, Friedman-Krauss says. However, she and Barnett expect a slow mass adoption of three-year-olds in state-funded programs.

“I think there will be more attention paid to that group – how much more, that’s the hard part,” Barnett says. “Nine percent is better than when we started, but it’s very lumpy. It’s still 0 percent in lots of places.”

Apple briefed the EU on how Siri AI worked months ago and tried to find a compromise. The European Union stood firm and insisted keeping other vendors out of the new feature was illegal under the DMA.

Apple made the unusual step of taking time in the WWDC keynote to say that Siri AI would not be coming to the European Union. It was a public announcement aimed at blaming the EU for preventing users from getting the new iOS features.

Now Apple has stepped up its PR fight by detailing how it says the EU is intractable over its demand that would see privacy controls stripped away. Briefing journalists after the WWDC keynote, Greg Joswiak has revealed that Apple went further than ever before in attempting to negotiate with the European Commission.

According to French news site Numerama, Joswiak says Apple even revealed its plans for Siri AI to the EU at the start of 2026. Apple has reportedly never revealed plans so early before, but did so specifically to avoid the months of delays after the launch of live translation in AirPods Pro.

The issue concerns the EU’s Digital Markets Act (DMA), which demands that any rival that wants it, must have exactly the same access to iOS features as Apple. Launching Siri AI without rivals getting full access on day one would therefore be illegal.

“[So they] could read all your messages, edit your files, delete things, delete your photos, [and] take actions in your applications without you knowing or consenting,” said Joswiak, in translation. While a compromise was found for live translation, “[Siri AI is] much more complex and much more deeply integrated into the system.”

He argued that opening access to see what third-party firms do would mean putting users at risk. Joswiak called it the EU telling Apple to conduct an experiment on the millions of users in the region.

In an attempt to comply with the DMA yet preserve user privacy, Apple proposed adding a Trusted System Agent. This would be a mechanism that would allow rivals access to the same Siri AI functions, but let Apple maintain user security.

According to Apple, however, the European Commission rejected this. The company is describing this as “the most obvious example to date of the extreme interpretation of the DMA by the Commission.”

As yet, neither the European Union or the European Commission have commented publicly. Based on its most recent review of the DMA, however, the EU is unlikely to reverse its decision.

Apple and EU standoff

Back in May 2025, Apple appealed against the EU’s $570 million antitrust fine and for the first time went public with accusations of the company being ghosted.

Greg Joswiak, Apple vice president of iOS, iPad and iPhone Marketing

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At the time, Apple spoke of having spent hundreds of thousands of engineering hours on changes to comply with the EU. In the new report, though, Apple now says that it no longer knows what to work on.

So currently none of its engineers are working on adapting Siri AI to meet the EU’s demands. That means Apple is no longer budging, either.

Apple’s assumption that rival companies will exploit access and sell user data does seem to be well-founded. In 2024, for instance, it reported how Facebook owner Meta had filed requests for user data access that had nothing to do with its apps or their functions.

Based on that, the EU’s stance does appear to be disregarding the security and privacy of its people.

But with an apparent absolute refusal to consider Apple’s points, it could be years before EU users get Siri AI. If they ever get it at all.

Here’s one metric for tracking SpaceX’s IPO later this week: The company has changed the venture industry’s perspective on long-term, capital-intensive space so much that a talented founder with no space experience can fund a space data center company.

Orbital, a new firm that emerged in May from a16z’s startup accelerator program Speedrun with a $5 million seed round, is the latest company promising to do inference in space — just as soon as Starship is flying regularly. Other investors include Basis Set, Human Element, Wayfinder, Antler, Anti Fund, Ascent, Rubik, Zero Knowledge Ventures, LYVC, Feld Ventures, New Legacy, FNDR, UpHonest and Asterisk.

Founder and CEO Euwyn Poon previously founded e-scooter company Spin in 2017 and sold it to Ford a year later, joining the automotive giant. When he was ready to start a new company, a16z’s Speedrun was eager to get on board, according to partner Andrew Chen, who told TechCrunch that Poon worked through several ideas before landing on space data centers.

You’re familiar with the pitch. There’s insatiable demand for AI compute, and deploying it is slow going on Earth. Why not head to space for limitless sunshine and limited environmental reviews? The main problem is the brutal economics of launching stuff into orbit, which currently leaves the business case unable to close.

Orbital, like many of it competitors, is betting on SpaceX figuring out its Starship rocket and offering it to commercial customers. “We will get to full scale when Starship comes online,” Poon explained. The price of the Falcon 9, the current state of the art, “makes this not economically feasible.”

For now, Poon and company — which includes about a dozen folks in Los Angeles, with experience at Amazon LEO, SpaceX, and Northrop Grumman — are working toward a demo flight that will see the company fly an Nvidia Blackwell chip on a partner’s satellite to test Orbital’s radiation shielding and thermal management tech. In 2028, the company hopes to launch its first data-processing spacecraft with Nvidia’s Space-1 Vera Rubin-class GPUs.

At that point, the company wants to start doing piece-wise inference work, which would allow it to generate revenue with each satellite launched. That’s a similar path to rival data center start-up Starcloud, which already has a GPU in orbit and plans to launch several more to generate income until Starship enables them to deploy their full constellation.

Orbital’s goal is to deploy 10,000 satellites that provide a distributed gigawatt of computing power, with each satellite providing 100 kw of power. For comparison, Elon Musk said SpaceX expects its AI satellites produce up to 150 kw, and Starcloud expects to field larger 200 kw-rated spacecraft to run chips.

Some companies are too impatient to wait for Starship. Cowboy Space Company, another space data center startup backed by a16z, recently decided to start building its own rockets. Jeff Bezos’ space company Blue Origin also announced plans to launch data centers into space using its New Glenn launch vehicle.

Poon is confident that the breadth of AI demand will allow many companies to succeed. “There’s so many lanes for companies in our space to pursue,” he told TechCrunch, before rattling off an array of choices that included companies pursuing different AI workloads, designs, and concepts of what an space data center looks like.

Chen said that Poon’s experience scaling up a company that deployed 250,000 scooters across 100 cities shows he can manage the tricky task of building an aerospace company. Over the long term, a project like this might take a decade and $5 billion or more, but Chen said venture firms are more comfortable with timelines like that.

“This kind of thing would have sounded crazy 10 years ago when we were all building mobile apps,” he said. “Starting it in 2026 just lets you tap into all the energy and excitement that’s that’s happening in the capital markets.”

Poon found his way into the space data center business by a circuitous route. After leaving Ford, he bought a Nvidia A100 on a lark, co-locating it in a Santa Clara data center and serving open-weight models. That first-hand experience convinced him the value in delivering compute in the era of AI.

Now he’s just got to put a couple thousand GPUs in space.

Photo credit: Delft University of Technology | Micro Aerial Vehicles Lab
Researchers at Delft University of Technology have built a navigation method for small drones that copies one of nature’s most efficient routines. Honeybees fly long distances along twisting routes yet still head home with striking accuracy. The new system lets a drone do something similar after just one short practice flight near its base, all while using a learning program small enough to fit in the memory of a basic phone app icon.

Honeybees keep track of distance and direction by observing how the ground and surroundings move past their eyes. Then, over time, slight inconsistencies begin to appear. To remedy this, bees will frequently undertake a quick small learning flight shortly after starting feeding, looping around the area near the hive and gathering all of their visual memory of what is around them. Later, when they’re far out in the wild, their memories guide them back to the hive, even though they can’t see it.

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A group of Delft researchers wanted to see if a drone might follow a similar path. Rather than develop an incredibly thorough three-dimensional picture of the entire area, as if a robot were trying to recall a complex plan, they just had the thing snap a few short panoramic photos during a quick learning fly around the starting position. They then uploaded the photographs to a small learning system, along with the drone’s initial estimates of how far and in which direction it had traveled. Yes, those calculations become a little jumbled, but the program still manages to extract enough information from the surroundings to determine its home territory and return the drone to that location.

When the drone takes off on a longer flight, it primarily relies on those motion estimates to get there and back, right up until it approaches the place where it learned to fly. The visual portion of the system then takes over and returns the drone to its original location. It also teaches the drone to fly faster when it is still in the wilderness and slow down as it approaches, similar to how bees adjust their own speed near the end of a journey.

Tests in these huge indoor environments were consistently successful. The drone might take off from a certain position, fly all the way to the other side of this massive hangar or test arena, and then return without ever seeing its home base. Outside, the same method worked fine for a drone that flew more than 600 meters before turning and returning home, and it continued to work well even on calm days, but it began to get a little wonky on windy days, primarily because gusts would blow the drone around and interfere with the camera’s view.

The outdoor version works on a learning system that uses only 42 kilobytes of memory, reducing memory utilization to a minimum. Traditional map-building methods often require substantially more memory and processing capacity, pushing designers to invest more in drones that use more energy and are more expensive to fly. The bee-inspired technique keeps the technology lightweight, allowing small drones to safely fly around people or into places like greenhouses where they don’t want to clash with anything.

Crop monitoring has a clear advantage because a lightweight drone can fly between rows of plants looking for early signs of disease or pests without the bulk or risk associated with larger mapping systems. The same navigation technique makes it perfect for robots moving about warehouses inspecting industrial equipment or functioning in places where satellite signals are distorted due to trees, buildings, or weather.
[Source]

DINUM, the digital affairs directorate of the French government, warned that hackers used a hijacked user account to breach Tchap, the French government’s encrypted messaging platform.

Developed in-house by DINUM in collaboration with ANSSI (the French Cybersecurity Agency) in 2018, Tchap is an instant messaging service and collaboration tool based on the decentralized Matrix protocol, designed exclusively for the French public sector.

Tchap has now reached over 300,000 monthly users and over 500,000 downloads on Google’s Play Store after Prime Minister François Bayrou mandated the use of Tchap and banned foreign apps for work communications for all civil servants in early August 2025.

DINUM revealed on Monday that ANSSI detected a Tchap breach on Sunday and said that a threat actor gained access to the secure instant messaging platform using a compromised user account.

The French digital affairs directorate has also alerted France’s data protection authority, the CNIL, to the incident due to the potential exposure of personal data shared by some users in conversations that the attacker could access, and has alerted all Tchap users, reminding them that public chat rooms are accessible to any user and are not encrypted.

“At this stage, the account originating the malicious requests has been identified. It was immediately blocked to remove the attacker’s persistent access and allow for a thorough analysis of the data they were able to access. The investigation continues, including the study of event logs, to identify the conversations that the attacker was able to access and the nature of the exfiltrated data,” DINUM said in a Monday press release.

“A message has been sent to all Tchap users reminding them that a public chat room can be found and joined by any user and that its content is not encrypted. In accordance with Tchap’s terms of service, no personal, sensitive, or confidential information should be exchanged in public chat rooms: such exchanges should be reserved for private chat rooms.”

While the DINUM has not shared any further details regarding this breach, a threat actor claimed responsibility for the incident over the weekend, shared a sample of stolen files, and said they gained access to the platform following a social engineering attack.

​”I social engineered a valid account on the education shard (matrix.agent.education.tchap.gouv.fr). Everything below is what that one account could reach, other shards will have more,” they said.

​They claim to have stolen hardcoded LDAP credentials allegedly leaked via a PowerShell script shared by a French tax authority regional director and over 13.5GB of documents and media files shared by public servants using the Tchap service.

The threat actors also allegedly scraped nearly 650,000 messages and information on over 73,000 accounts, including email addresses, organization information, meeting links, and account and device metadata.

“Every file ever shared on Tchap, on any shard, is downloadable without a token,” they added. “The media IDs come from the messages. Once you have a message with a media URL you can pull the file freely regardless of which shard hosts it.”

BleepingComputer reached out to DINUM with questions about the incident, but a response was not immediately available.

Last month, French authorities detained a 15-year-old suspected of selling data stolen in an April cyberattack on ANTS (Agence nationale des titres sécurisés), the country’s agency for issuing and managing official identity and registration documents.

Security teams log 54% of successful attacks and alert on just 14%. The rest move through your environment unseen.

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One unique feature is a free “moving artwork” functionality. Imagine a static painting where a portion of the art, such as a river or mist over a mountain, is moving slightly. It’s calming and beautiful. At least dozens are available, but I’m not able to add my own. The TCL NXTVISION also features paintings in a slowly moving video format, but the video art on the Ember Artline looks more realistic. In particular, I was blown away by some of the subtle clips, including one scene that shows the sun passing over a mountain range in extreme hi-def.

Another unique feature is Match the Room. It uses a photo where the TV is situated, then generates AI images that fit within the space’s color scheme. Having my TV display art that fits the aesthetic of my family room’s brown walls and dark blue couch made me feel like an interior designer.

Then there’s the Omnisense feature, which claims to know when you leave the room. At that point, it turns off the art display, then powering it back on when you return. (For the sake of comparison, the TCL doesn’t have a motion sensor; most Ember models and the Frame Pro do have motion sensing.) During my testing, the Omnisense worked about 90 percent of the time, sometimes failing to clock my presence in the room and not turning on the Artline as it should. Amazon reps told me they have not heard this feedback before. Even so, the feature was mostly functional and is a great power-saving capability.

The Alexa+ voice search function proved limited on the Artline, though you can conveniently use it to raise the volume and start apps by voice. Unfortunately, I wasn’t able to use it to search for classic masterpieces, like Van Goghs or Rembrandts. However, the virtual assistant could answer questions about the weather, play music, provide sports scores, and even chat with you about politics. I loved using Alexa+ to find movies and shows. I made complex requests like “show me every thriller from the last two years that has an 80 percent score or higher on Rotten Tomatoes,” and that actually worked. You can also show Amazon Photos, animated art, and use Alexa+ to generate AI artwork. The AI artwork is a bit generic. That said, using voice commands to make art is unique and fun.

The main drawback of the Ember Artline compared to the Samsung Frame Pro is that the contrast is a bit washed out. I couldn’t find Vincent Van Gogh’s The Starry Night when I scanned through the Artline’s available artwork, so I loaded it as a photo. When I did this on the Frame Pro, the incredible contrast and color quality provided a vibrant, realistic texture, like you could reach out and feel the grooves of thick brushstrokes. On the Artline, the same painting lacked texture and contrast.

Screen Play

Photograph: John Brandon

I was surprised to discover that the Ember Artline doesn’t use new screen technology—it’s roughly the same QLED tech as previous Amazon Fire and newer Ember televisions. Which is to say, the contrast ratio (which Amazon does not release) is not outstanding, based on my experience viewing multiple movies and shows. There’s a new anti-glare matte finish, though, that makes all of the artwork (and whatever content you are streaming) look more realistic.

• Broadcom shares plummet after it reports earnings beat for Q2 2026
• The company’s market cap shrank a mammoth 19% across two sessions after its earnings report was scrutinized by Wall Street, with its AI chip sales outlook being notably softer at $16 billion versus $17.2 billion for Q3
• The behavior may indicate a frothy AI market, where investors continue to obsess over future guidance and valuations versus current performance

Broadcom’s Q2 2026 earnings report, by all means, reads like that of a company that is gearing up to benefit from a splurge in AI spending across the next decade.

It posted record revenue, tripling its AI chip business year-on-year and topping its Q2 earnings-per-share (EPS) guidance.

from the doge-screwworms-america dept

Back in March of 2025, when Elon Musk was spearheading his bullshit DOGE non-agency and running around cutting funding to all kinds of government programs under the notion that they were a blatant waste of taxpayer money, the cuts were so obviously haphazard and ill-informed that it was making everyone’s head spin. Then, after cuts to funding and staff were done, the very same Trump administration began scrambling to restore it after government agencies found themselves unable to function properly as a result.

But not every bit of funding was restored. Part of what DOGE cut was roughly 5,000 funding grants for USAID. One of those grants funded a detection and warning program for, you guessed it, screwworms!

Following the U.S. Department of Agriculture’s confirmation on Wednesday that the New World screwworm fly has reached south Texas for the first time in decades, questions are being raised about what role DOGE cuts played in what could become a crisis to the nation’s cattle industry.

The Elon Musk-led Department of Government Efficiency gutted the United States Agency for International Development, which included a program dedicated to preventing the spread of the parasite across the U.S.-Mexico border, according to a report from Agri-Pulse published last March, which cited a list of cut programs sent to Congress.

The screwworm prevention program was part of roughly 5,300 grants and programs cut from USAID. The program also monitored outbreaks of avian flu in Asia, according to the report.

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Everyone who was paying attention knew then that screwworm flies were a major problem. These parasites infect livestock, pets, and sometimes humans by burrowing into their flesh to lay their eggs, potentially killing the host in a matter of weeks. A mass-infection event would decimate the livestock of cattle specifically in America, which is already at an extremely low level. That reduction in cattle counts occurred because there are fewer ranchers today than before, which is itself due to the increasing costs of raising cattle in America. Those costs would be for fuel, parts for ranching equipment, and fertilizer. And you can explain most of those rising costs on a combination of tariffs and our idiotic maybe-war with Iran.

Meanwhile, the cost of beef has been further driven higher because of a USDA import ban on Mexican cattle that has been in place since May of 2025. You’ll never guess why that ban was put in place.

“The United States has ordered the suspension of livestock imports through ports of entry along our southern border after the continued spread of the New World Screwworm in Mexico. Secretary Berdegué and I have worked closely on the NWS response; however, it is my duty to take all steps within my control to protect the livestock industry in the United States from this devastating pest,” said Secretary Rollins. “The protection of our animals and safety of our nation’s food supply is a national security issue of the utmost importance. Once we see increased surveillance and eradication efforts, and the positive results of those actions, we remain committed to opening the border for livestock trade. This is not about politics or punishment of Mexico, rather it is about food and animal safety.”

But those increased efforts never came to pass, in part because DOGE cut the funding for them. This government doesn’t have the ability to claim they didn’t know screwworm flies were a problem. Its own USDA said it was. The Trump administration can’t claim it isn’t responsible for the reappearance of the parasite or blame the rising cost of beef and milk on someone else. Trump’s tariffs and war with Iran are directly responsible for it, and any significant issue with screwworm flies will cause that cost to rise even further.

Hell, ranchers have apparently been screaming about this to try to get the government’s attention for months and months now.

Agriculture officials and cattle industry leaders raised alarm about the cuts at the time and, for the last several months, pleaded with the government to step in as they monitored screwworm infections moving north through Mexico—but they were ignored, Texas Agriculture Commissioner Sid Miller told NBC News.

And now we’re here, once again, with another once-eliminated issue that will plague the American people due to this administration’s rank incompetence. Just like the measles. This government is leading us backwards.

So what’s the plan for screwworm flies now? Fly-sniffing dogs and the release of millions of sterile male flies to crowd out the parasite’s ability to reproduce. And that actually is the proper plan to combat this thing… long term. But not in the immediate, which is why we’re likely to see it spread.

The plan to prevent a US outbreak of the New World Screwworm focuses on deploying hundreds of millions of genetically-altered sterile flies. Experts, though, say the supply of sterile flies is too low to immediately impact and halt the growing screwworm population.

60 years our country has been without the New World Screwworm. And now it’s back. Because this government would rather do government cut dinner theater than the hard work of governing.

So they next time you’re at the grocery store and can’t believe the price of a steak, you can thank the Trump administration for it.

Filed Under: cattle, doge, elon musk, screwworm, trump admininstration, usaid, usda