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On October 1, federal judge Sara Hill in Oklahoma ruled that a police officer's warrantless query of the Flock license plate reader system was an unconstitutional search, and ordered all resulting evidence thrown out.

A deputy ran a query solely because the car had a California plate, obtaining more than 50 records of the driver's movements across the country over a month, and used that history to justify searching her car. Hill found this invaded a reasonable expectation of privacy in the whole of one's physical movements, writing that such a nationwide networked system "is a type of indiscriminate mass surveillance," and that the 1983 Knotts public-roadway rule does not fit it.

According to audit logs reviewed by 404 Media, there are more than a hundred thousand warrantless queries of the Flock system every month. Flock CEO Garrett Langley said in July the matter was "pretty cut and dry" and courts would not call it a warrantless search. The ruling sets no binding precedent, and several similar cases are pending nationwide.

Salesforce has signed a definitive agreement to acquire AI customer research startup Listen Labs; neither company disclosed the price.

Business Insider reported the talks on September 9, saying roughly $2 billion was under discussion. Salesforce announced the signed agreement on September 29 and expects the deal to close in the fourth quarter of its fiscal 2027, pending regulatory clearance. It is Salesforce's second AI acquisition this year, after announcing in June the purchase of customer service automation company Fin for about $3.6 billion.

Listen Labs' agents recruit interviewees, run interviews and analyze feedback, and simulate how customers will respond using digital twins grounded in real customer behavior. Microsoft, Anthropic and Sweetgreen are customers. The company raised a $69 million Series B in January; per a TechCrunch report cited by SiliconANGLE, it was valued at $500 million with about $30 million in annualized revenue.

The technology will go into Marketing Cloud and Service Cloud, with the team joining Salesforce AI Labs. The same TechCrunch report said Listen Labs had signed a $125 million term sheet with venture firm Menlo Ventures at a $1.5 billion valuation, then walked away from it to pursue the sale.

Anthropic, the AI company behind the Claude chatbot, is reportedly targeting the week of Nov. 9 to launch its IPO, aiming to list before Thanksgiving.

According to Bloomberg on Oct. 1, citing anonymous sources, the company hopes to begin formally marketing the offering that week and is determined to go public before year-end; internal discussions on the exact timeline are ongoing and could still change. Reuters, which saw the IPO prospectus on Sep. 28, had reported that the company was most likely to wait until just after the Nov. 3 midterm elections.

The prospectus discloses a wide gap: fiscal 2025 revenue came to $4.6 billion, more than 12 times the prior year. The net loss exceeded $42 billion. The company also plans to spend $518 billion on AI infrastructure in the coming years.

The listing is expected to value Anthropic at more than $2 trillion. The report notes that rival OpenAI appears to have already delayed its own IPO; a similar delay by Anthropic could hit AI-linked stocks such as Nvidia.

A federal judge on October 1 denied the government's motion to dismiss, allowing a lawsuit over a government social media surveillance program to proceed.

The United Automobile Workers (UAW), Communications Workers of America (CWA) and American Federation of Teachers (AFT) sued the Departments of State and Homeland Security in October 2025, alleging the program uses AI and other automated tools to monitor the social media accounts of visa and green card holders and punish disfavored viewpoints, in violation of the First Amendment. The Electronic Frontier Foundation (EFF), a digital rights legal organization, represents the unions.

Judge Alvin K. Hellerstein of the Southern District of New York wrote that, given the government's heavily publicized immigration crackdowns, it is objectively reasonable that noncitizens would limit their expression under the program. The court held that claims that members have changed how they use social media can move forward.

This is a procedural win only: the court has not found the surveillance unlawful, and the case now heads to the merits. EFF has published the opinion.

Readers can now reproduce published economics research in bulk with a large language model: of 4,452 published replication packages, 3,460 were flagged for discrepancies, while calculations in 496 papers were sped up by more than a factor of 10 and 923 received extensions consistent with the original aims.

Previously, such reproduction relied on manual, paper-by-paper checks, which were costly and limited in coverage.

The workflow was built by economists Matthew Schwartz, Isaiah Andrews and Jesse M. Shapiro. It first reproduces the original calculations, then checks them against published findings and runs sensitivity analysis; the flagged counts and speedups are author-reported.

The flagged "discrepancies" are the workflow's automated detections, not proof the original papers were wrong; the paper has not been peer reviewed, is NBER working paper w35782, was covered by Tyler Cowen on Marginal Revolution on October 1, and has no third-party replication yet.

On simplified tasks from the APEX Accounting Benchmark, AI now solves them almost flawlessly, surpassing the roughly 37% average of 12 licensed CPAs with 5.5 years of experience — a comparison drawn from a Mercor study.

Eighteen months earlier, the best models still scored below that human level, leaving AI's replacement ability under the accountants'.

On the full APEX benchmark, which spans 160 tasks across 10 simulated companies, the leading model, Claude Opus 5.5, meets 61.8% of grading criteria, followed by Fable 5.1 at 61.0% and GPT-6 Astra at 57.9%. Mercor says no model fully solved almost 60% of the tasks.

Mercor acknowledges the tasks test exactly what AI does best, hunting down details and following instructions precisely, and leave out client conversations, colleague coordination and years of accumulated business context.

Harvard physicist Matthew Schwartz used the open-source BootLoops harness to drive Claude, producing 36 manuscripts with 19 co-authors in three months, spanning 18 fields from particle physics to linguistics.

Concrete results include 30 elliptic integrals computed by Claude, fifteen of them for the first time, and a solution to a 20-year-old equation in neutral biodiversity theory that had been impossible to compute at scale; applied to data, it showed tree species composition on Barro Colorado Island in Panama changing 4.5 times faster than the theory allows.

In his guest post on Anthropic's site, Schwartz warns the model declares victory early, automated checks are unreliable, and conclusions can be wrong even when calculations are correct — each result became scientifically valuable only after domain experts stepped in. The manuscripts have not been peer reviewed.

The hacking group ShinyHunters says it breached FBI-related services and holds data on all FBI employees and applicants. 404 Media verified a sample of 5,000 alleged agents, including names, home addresses, phone numbers and details on spouses.

The group told 404 Media on September 22, "We hacked the FBI," and said on September 28 that it had decided from the start never to publish the data. Follow-up reporting says the trove also includes job roles and medical records.

The "all employees" scale claim comes from the hackers themselves; the reporter verified only the sample. Criminals in the same ecosystem have previously used leaked data to track and harass the agents investigating them, so withholding publication does not end the risk.

OpenAI, Blackstone, SoftBank and data center operator QTS, together with seven unions including the International Brotherhood of Electrical Workers, have formed a lobbying group called the American Infrastructure Alliance, TechRadar reported on October 2.

The backdrop is rising opposition: Senator Bernie Sanders is planning legislation to pause data center construction nationwide until guardrails are in place. The alliance plans to establish guardrails for data center development in 2027 and will launch its initial defensive strategy in Texas, Georgia, Ohio and four other states.

Critics question the jobs promise: research by environmental group Food & Water Watch found only about 23,000 permanent data center jobs nationwide as of 2024. Whether the alliance actually shifts state and local approvals remains to be seen in its first state-level campaigns.

Internal Slack messages obtained by Semafor show that employee pushback was part of why OpenAI president Greg Brockman withdrew his remaining $25 million political donation.

The dispute centers on Leading the Future, a super PAC launched in August 2025 that claimed more than $100 million in commitments to fight AI regulation, including $50 million from Brockman and his wife Anna. On June 11, Brockman abandoned the unspent $25 million, saying he felt terrible that LTF keeps reflecting on the company; The New York Times first reported the withdrawal on September 30.

What Semafor adds on October 2 is the internal process: a source familiar with the situation says employee pushback was definitely part of Brockman's decision, with his qualms beginning when the PAC targeted New York Assemblymember Alex Bores. The Slack messages were shared on condition they not be quoted directly, so how much weight the pushback carried rests on a single source.

LTF has since donated heavily to congressional front-runners, and candidates it has backed include supporters of a bill that would pause frontier AI development.

Apple says it is tightening macOS's Full Disk Access permission: going forward, an app can receive this level of access only through very explicit user action.

Full Disk Access was designed so features like backups work, and it lets an app read files, mail, messages and even browsing history. In a blog post for developers, Apple said that as AI agents become more capable and autonomous, the risks of this level of access will grow substantially.

The backdrop is two incidents: Inc. columnist Jason Aten reported that Meta's Muse agent read his private messages without permission, which Meta disputed, and Wired reported a flaw in ChatGPT's Mac app that could have exposed sensitive data. Apple did not say when the new controls ship or how they will work, and did not respond to TechCrunch's inquiry.

Tesla delivered 486,532 vehicles in the third quarter, above the roughly 461,100 analysts expected, and the stock rose 5% on the day.

Deliveries were still down about 2% from 497,099 a year earlier, but up from 480,126 in the second quarter. The US federal EV tax credit ended early on September 30, 2025, putting direct pressure on fourth-quarter demand.

Energy storage deployments reached 13.7 GWh, up from 12.5 GWh a year earlier, with Megapack and similar systems serving data centers and utilities. Model 3 and Model Y accounted for 98% of deliveries. Tesla reports third-quarter earnings on October 21.