A daily, practical look at the artificial-intelligence stories changing ordinary life. Dr. Michael Litman separates reported facts from forecasts, explains what the technology can and cannot do, and focuses on the choices people, organizations, and policymakers face next.
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Across parts of the Midwest, Mid-Atlantic, and South, large-load connection requests—mostly associated with data centers—now exceed 700 gigawatts, according to a September 1 Reuters analysis. That is more than ten times estimated current U.S. data-center power use. It is also a queue, not a forecast: some entries are duplicates, early inquiries, or projects without financing or a committed customer. Dr. Mike explains why these requests still matter before a server turns on. Utilities may need years to build generation, substations, transmission, and water systems around proposed demand. Texas
ChatGPT Ads has reached a $1 billion annualized revenue run rate less than 200 days after launch, according to OpenAI. That is a meaningful measure of current pace—not $1 billion already booked over a completed year, not profit, and not a guarantee that growth will continue. Dr. Mike explains how conversational advertising differs from ordinary display ads, why directly stated intent can make an ad unusually relevant, and why the boundary between an assistant's answer and a paid placement matters. The episode also examines OpenAI's stated safeguards, the international self-service expansion, t
Sony Music Publishing, Warner Chappell, and affiliated publishing entities have filed a federal copyright lawsuit alleging that Anthropic unlawfully acquired copyrighted musical compositions and lyrics from pirate archives for use in developing or operating Claude. Anthropic says it disagrees with the claims and will defend itself robustly. The filing is an allegation, not a verdict, and no court has found Anthropic liable in this case. Dr. Mike explains why a musical composition is legally distinct from a sound recording, why the dispute cannot be reduced to simple slogans about artificial-in
Amazon will permanently close Mechanical Turk on September 30, 2026, ending one of the clearest examples of human judgment delivered through a software interface. The immediate story is practical: workers, requesters, researchers, and AWS customers have payment, approval, transition, and records deadlines to meet. The larger story is about artificial intelligence—and how often systems that look automated still depend on people whose work is easy to overlook. Dr. Mike explains what Amazon has actually announced, why the service called itself "artificial artificial intelligence," how crowd worke
Artificial intelligence is beginning to cross from generating words and code into operating programmable laboratory and manufacturing equipment. Anthropic has opened an application-only research preview of the Model Hardware Standard, or MHS: a proposed shared interface that lets AI agents discover supported devices, understand available actions, and request those actions through a common vocabulary. Dr. Mike explains what Anthropic and its partners actually demonstrated, why the announcement is not a new robot or a claim of autonomous science, what the early partner-reported results do and do
New technical evidence documents a ransomware crew using a commercial AI software agent during real intrusions. Gambit Security says its recovered logs covered ten target organizations. Reuters reviewed portions of twenty-eight chat sessions, reported at least seven breached companies, and independently identified six victims. Those counts are related, but they are not interchangeable. Dr. Mike explains what the logs show, what the human operators still had to supply, how the agent helped with reconnaissance and troubleshooting, why conversational guardrails were not a network perimeter, and w
Meta explored an aggressive "AI-native" workplace overhaul, but Reuters reports that the company canceled a planned second restructuring wave amid employee resistance and internal evidence that autonomous AI agents were not yet delivering the productivity gains leaders expected. This episode separates what Meta confirmed from what Reuters learned through internal documents, recordings, posts, and more than 20 sources. Meta acknowledged Project OT, two planned restructuring waves, and worst-case scenarios that could have reduced some teams by as much as 60%. That was never a plan to lay off 60%
A controlled experiment found that AI financial advice could sharply improve—or sharply worsen—the same investment choice, depending on the objective embedded in the advice. Among roughly 3,700 participants, 63.7% chose the objectively better fictional fund provider without advice, 87.2% did so with aligned AI advice, and only 34.4% did so with misleading AI advice. This episode explains the experiment, why one provider was strictly dominated after the contribution amount was fixed, why a disclosed bank conflict did not measurably blunt the chatbot's influence, and what the results do—and do n
Ukrainian investigators say an onboard AI system selected the intended final object of a Russian drone strike. The drone reportedly failed to reach that object, struck an apartment wall, and detonated near people sheltering; The New York Times reports that three civilians ultimately died. This episode separates the strongest supportable claim from the dramatic version. We examine the reported forensic evidence, the limits of public verification, the role of Nvidia Jetson edge-computing hardware, the dual-use supply problem, and why human legal responsibility does not disappear when software ma
Texas Governor Greg Abbott has paused affected new data-center projects in the state's main grid-connection process while officials audit power demand, water use, public incentives, community impact, and ownership. The move is not a statewide ban, but it marks a sharp political reversal—and shows how AI's physical footprint is becoming a local issue. In this episode of Tech Unfiltered with Dr. Mike: • Why roughly 200 gigawatts in a planning queue is not the same as actual demand • What Texas is auditing before projects can advance • Which standards apply now and which 2027 rules are only propo
Experienced Hollywood writers, directors, and producers are taking temporary jobs teaching AI systems how to perform parts of their professional work—from production scheduling and pitch development to script evaluation and noisy-audio analysis. In this episode, Dr. Mike examines why skilled creatives are accepting these assignments, what companies are actually buying when they hire an AI trainer, and why the same pattern matters in law, healthcare, finance, and other professions. Key takeaways: • The reported assignments paid from $12 to $200 an hour. • A live Micro1 listing offered $45 to $8
Pew Research Center found meaningful signs of AI writing or substantial editing in 10% of a random July 2026 public-web sample—and 35% of the smaller subset of dated pages published after ChatGPT arrived. Dr. Mike explains why both numbers matter, what AI detectors can and cannot establish, and how ordinary readers can verify claims without treating polished prose as proof. Key takeaways: • The 10% result describes a random July 2026 snapshot; the 35% result describes only dated post-ChatGPT pages. • Pew analyzed 490,000 English-language pages from 49 Common Crawl snapshots, not private messag
AI has produced formally checked advances on serious open problems in mathematics and theoretical computer science. Dr. Mike examines what OpenAI's Astra result does—and does not—prove about AI capability, human expertise, education, research credit, and access. Key takeaways: • OpenAI says Astra resolved or substantially advanced ten long-standing problems, with the resulting proofs formalized in Lean. • Independent mathematicians interviewed by The Verge broadly treated the work as mathematically significant, while noting major limits and unanswered questions. • A checkable proof is evidence
AI hiring tools can filter, score, and rank applicants before a human recruiter ever opens a résumé. Dr. Mike examines the lawsuits now testing that hidden layer of hiring—and separates product claims, plaintiff allegations, procedural rulings, and established facts. Key takeaways: • A human final decision does not erase the influence of earlier automated screening. • Historical data and proxy variables can produce unequal errors without an explicit discriminatory rule. • Widely shared models can scale the same mistake across many employers. • Notice, auditability, correction, accommodations,
Young adults are among the heaviest users of artificial intelligence—and their concern about its effect on jobs is rising quickly. A new Pew Research Center analysis finds that 55% of U.S. adults under 30 are now more concerned than excited about AI, while 73% expect it to reduce the total number of jobs over the next 20 years. Dr. Mike separates survey belief from employment evidence, compares the Stanford and Dallas Fed warning signs with more cautious findings from Yale and the Economic Policy Institute, and explains why the most important risk may be the missing first rung of the career la
OpenAI has signed a 20-year agreement for approximately eight gigawatts of computing capacity at the PORTS-Pike Technology Campus in southern Ohio. The deal turns artificial intelligence into a physical infrastructure story involving power plants, transmission lines, federal land, local jobs, water systems, chips, and a large conditional financial backstop from Nvidia. Dr. Mike explains what the numbers actually mean, why a $105 billion guarantee cap is not cash already paid, how sponsor job projections differ from measured outcomes, and which community, ratepayer, water, and climate promises
OpenAI has published a plain-language explanation of the limited identifiers and browsing events it shares with selected marketing partners to promote its own products on other websites and apps. The disclosure does not say OpenAI is selling chat transcripts—but it does show how ChatGPT is joining the familiar cross-site advertising ecosystem. Dr. Mike explains what a hashed identifier can still reveal, separates external OpenAI marketing from ads shown inside ChatGPT, and walks through the account-level privacy control users can review today. KEY TAKEAWAYS • OpenAI says external marketing par
Artificial intelligence is making college students reconsider their majors—but anxiety is not the same thing as a labor-market forecast. New survey evidence shows substantial uncertainty and real academic changes, while leaving a crucial question unanswered: are students moving toward AI-intensive fields or away from them? Dr. Mike separates tasks, jobs, and majors; explains why accounting is a useful case study; and offers a seven-step framework for choosing an education without chasing every headline. KEY TAKEAWAYS • There is no permanently AI-proof major. • Reported student anxiety matters,
Google now lets people remove the visible watermark from AI-generated images, video, and music—but the invisible provenance signals are supposed to remain. That moves transparency from a badge anyone can notice toward signals people must actively inspect. Dr. Mike explains what changed, what SynthID and Content Credentials can and cannot establish, why clean output matters to creators, and a practical six-step verification ladder for viewers, schools, employers, newsrooms, and other institutions. KEY TAKEAWAYS • Google's visible AI badge is now optional for generated images, video, and music.
Twitch now has a default-on setting that permits Amazon to use channel-associated content in generative-AI development. Creators can opt out—but streams, clips, images, and community chat make this more than a simple creator-only decision. Dr. Mike explains what Twitch disclosed, why the default matters, the real accessibility case for better speech recognition and captions, what remains unknown about past use, and the practical setting audit creators can perform today. KEY TAKEAWAYS • Twitch's AI-training control is on by default, with a creator opt-out. • Channel-associated content can inclu
Google's Pixel 11 launch is less about opening a smarter chatbot and more about AI appearing inside the camera, keyboard, messages, travel details, and connected apps. That could remove everyday friction—but it also gives the assistant more context, more chances to act, and more opportunities to sound certain when verification still matters. Dr. Mike explains the new Pixel 11 lineup, Google's Tensor G6 and on-device AI claims, proactive multi-app help, Rambler speech cleanup, sign-to-text, computational photography, live translation, and the practical questions ordinary users should ask before
Abbott and Google Health are connecting Lingo continuous glucose readings to a Gemini-powered health coach. The goal is more personalized guidance using glucose, sleep, activity, and recovery context—but a wellness sensor is not a diagnosis, and a persuasive AI explanation can still be wrong. Dr. Mike explains what the companies announced, what Lingo actually measures, why the planned real-world study matters, and the evidence, privacy, access, and commercial-incentive questions users should keep in view. KEY TAKEAWAYS • Lingo estimates glucose patterns; it does not diagnose diabetes or predia
Meta has released Muse Glimmer, a 30-billion-parameter open-weight AI agent model designed to run locally on one sufficiently powerful computer. That could make advanced assistants more private, customizable, and resilient—but local execution does not automatically make an entire application safe or private. Dr. Mike explains what Meta actually released, the hardware it requires, why an agent is different from a chatbot, what the model card says about risk, and how read-only access and human confirmation can reduce the danger of unintended actions. KEY TAKEAWAYS • Muse Glimmer is infrastructur
Chatbots can sound caring, remember context, and offer advice—but that does not make them licensed clinicians. California Senate Bill 903 is an active proposal, not current law, that would draw new boundaries around AI used in psychotherapy and mental-health screening. Dr. Mike explains what the amended bill would allow, where it would require licensed human review, the consent and data-use safeguards it proposes, and why access concerns make the policy debate more complicated than a simple ban. KEY TAKEAWAYS • SB 903 is still pending; it has not taken effect. • The proposal distinguishes admi
A normal photograph can now become raw material for an explicit AI-manipulated fake. New reporting from the United Kingdom shows that children are seeking help in rising numbers: Report Remove received 420 reports in the first half of 2026 involving images children believed had been faked or manipulated to appear explicit, already above the service's full-year 2025 total of 397. Dr. Mike explains what the numbers do and do not show, how Report Remove and hash matching work, why fabricated images can still cause real coercion and harm, and the practical steps families, schools, platforms, and A
