Walter Bloomberg, posting as DeItaone, reported that Anthropic's IPO has attracted several times more investor orders than shares available, according to Bloomberg, citing people familiar with the offering. The same post said Anthropic aims to raise up to $90.4 billion through its IPO and private placement, is targeting a $1.4 trillion fully diluted valuation, and has Goldman Sachs and Morgan Stanley leading the offering. No official post from Bloomberg or Anthropic on this demand figure was found above the view floor, so this lead is secondhand.

Walter Bloomberg, posting as DeItaone, said Anthropic's IPO is already multiple times oversubscribed. According to that post, Anthropic has attracted several times more investor orders than shares available, according to Bloomberg, citing people familiar with the offering.

The same post said the Claude maker aims to raise up to $90.4 billion through its IPO and private placement, which it said could make this the largest public listing in history. It said Anthropic is targeting a $1.4 trillion fully diluted valuation, with Goldman Sachs and Morgan Stanley leading the offering. It also said demand is being driven by large institutional orders, and that some investors are already reselling portions of their allocations at premiums.

An earlier DeItaone headline, and a matching zerohedge headline, carried the same oversubscription claim without the extra figures. A search of official Bloomberg and Anthropic accounts did not turn up a first hand post on this demand figure that cleared the view floor, so the lead remains a secondhand wire summary of Bloomberg's reporting.

Anthropic opened its roadshow on November 10, offering shares at $70 to $78, a range already covered in the prior day's deck. The oversubscription report is a demand update on that offering, not a change to the stated price range.

The next hard signal is whether Anthropic raises the $70 to $78 price range before pricing, which earlier reports said is expected on November 18, with trading to start the following day.

Watch official statements from Anthropic or its banks, and the final size of the IPO and private placement. Until those are filed or confirmed, the several times oversubscribed claim remains Bloomberg's account, relayed here through a wire post.

Grok Bot is an AI assistant product whose bots can work across chat apps, documents and connected tools. The official Grok Bot account announced version 1.0 on Nov 11, and the spacexai account and Elon Musk shared the launch. Roman Ugarte, who described it as our release, listed what changed.

The official Grok Bot account introduced Grok Bot 1.0, describing it as AI teammates that work alongside a whole team. According to the post, Bots can now be shared, collaborate with people in Slack and Teams, be invited to meetings, and learn over time to become more helpful. The announcement drew more than 41 million views by the time of this scan.

Roman Ugarte, writing that the goal of the release was to make Bots a much more useful part of a team, listed three main changes. First, Bots can join Zoom, Google Meet and other meeting tools, where people can ask them questions and assign them action items. He said his team has its Bot take standup notes every day in a shared Google Doc, and that live back and forth conversation in meetings is coming soon.

Second, a new interface lets users see and steer each Bot's responsibilities, what it is learning and its impact. Ugarte said an AI teammate should flag when it is blocked or confused and summarize its contributions. Third, he said Bots in Slack and Teams now carry context across conversations and learn from a team over time.

Watch for how teams use shared Bots in practice, especially in meetings, and for the promised live voice conversation inside calls. The launch puts Grok Bot in direct competition with workplace agents from OpenAI, Anthropic, Microsoft and Google, which are also pushing assistants into Slack, Teams and meetings. Pricing, admin controls and how well Bots handle permissions across a company will decide how far this spreads beyond early adopters.

Google announced the Gemini Decisions API on Nov 11, available in Google AI Studio and through the Gemini API. It runs on a new model called Gemini Decision 1, which checks text, images, audio, video and PDFs against a list of questions and returns confidence scores instead of a written answer. Google AI Studio posted the launch, and the main Google account explained how it works in a short thread.

Google introduced the Gemini Decisions API on Nov 11, powered by a new model it calls Gemini Decision 1. According to Google, the model does not generate a response token by token. It evaluates an input, which can be text, images, audio, video or PDFs, against up to 1,000 questions in a single pass and returns decisions with calibrated confidence scores. Google says no output tokens are billed.

In its thread, Google says the API returns results in 150 to 250 milliseconds end to end and costs $0.10 per 1M input tokens. It claims this makes it nearly 5 times more cost efficient across a shared benchmark suite than its lightest Gemini 3.5 Flash model used through the Interactions API.

The idea is that developers give the model a checklist of yes or no, multiple choice and rating questions rather than asking it to describe something. In Google's example, Gemini Decision 1 scans 100 delivery photos in 4.5 seconds, which Google says is nearly 4 times faster than that same Flash model, and answers 16 questions per photo, such as whether a box is damaged, whether it sits under a porch, a delivery quality rating from 0 to 3, and what should happen next, such as routing to a claim review.

Google AI Studio said the API is available to try now in AI Studio and the Gemini API, and it shared demo apps named Doorstep Parcels, Speed Sketch and Find the Zookeeper. The speed and cost figures come from Google and have not been independently tested.

Developers will now test whether the confidence scores are reliable enough to drive real decisions, such as moderation, inspection or routing inside agents. Independent comparisons against using a normal model with structured output will show whether the claimed speed and cost gains hold up. If it works, other labs may ship similar decision models, and agent builders could start splitting work between models that write and models that only judge. Watch for pricing details, rate limits and early customer case studies.

Earlier in the week Jensen Huang told Nvidia employees he had an affair with Alice Huang, a former Megaspeed executive whom US officials suspect of spying for China, and Nvidia's board opened an independent review. On November 11 The New York Times reported a second relationship, with an Nvidia vice president. Hours later the Wall Street Journal reported that the board was preparing to remove him.

The Wall Street Journal posted on the evening of November 11 that Nvidia's board is preparing to oust CEO Jensen Huang after he had two extramarital affairs, including one with a suspected Chinese spy. This is a news report citing the paper's own reporting, not an announcement from Nvidia, and no decision had been announced when this deck was finalized.

The report came less than an hour after posts relaying a New York Times story. Pop Base wrote that the Times reported Huang had another affair with an executive at the company, and Joe Weisenthal wrote that the Times said the relationship was with Nvidia's vice president of health care.

Earlier in the week, according to X's news summaries of the coverage, Huang admitted in a company email to an affair with Alice Huang, a former executive at the Nvidia customer Megaspeed whom US officials suspect of working for Chinese intelligence. The summaries say Nvidia's board started an independent review, said it saw no evidence that secrets were compromised, and initially expressed confidence in his leadership. Republican lawmakers had also asked Huang for a closed door briefing on November 18.

Additional reporting, secondhand: the latest X news summary says the board met late Wednesday to consider removing him and that shares fell about 8% in after hours trading. The Kobeissi Letter, a market commentary account, publicly urged the board not to fire Huang and to consult shareholders first. These details come from summaries and commentary, not from Nvidia.

The key signal is an official statement from Nvidia's board on whether Huang stays, leaves, or steps aside while the review continues, and who would lead the company if he goes. Watch Nvidia's share price, any response from Huang himself, and whether large shareholders push for a vote as some investors are demanding. The November 18 briefing requested by lawmakers could also bring new details on the national security questions around the first relationship.

Tesla's official Europe, Middle East and Africa account posted that approval has now come through in Finland and that rollout begins soon, with a video of a Tesla driving while the driver's hands rest in his lap. Elon Musk later quoted that post and wrote that Tesla self driving is now approved in Finland. The posts do not name the Finnish regulator, the software version, or a start date for the rollout.

Tesla's official Europe, Middle East and Africa account posted that the product is now approved in Finland and that rollout begins soon. The post itself is two short lines and a video. Elon Musk later quoted it and wrote, Tesla self driving now approved in Finland, which is the clearest official wording that the approval is for Tesla's self driving software.

The video thumbnail shows the view from inside a Tesla, with the driver's hands in his lap and a driving visualization on the center screen, as the car travels a tree lined road. The posts do not say whether that footage was filmed in Finland.

Neither Tesla Europe nor Musk named the Finnish regulator, the software version being approved, or a date when customers in Finland will get the rollout. The phrase rollout begins soon is the only timing given.

This is a geographic and regulatory expansion of an existing product, not the launch of a new driving model. The lead is the official regional Tesla account, with Musk's quote kept as supporting context.

Watch Tesla's official channels for a start date in Finland and for any note on which software version is included in the approval.

Later posts may also say whether this is a supervised feature or a broader permit, and whether nearby countries are next. Until Tesla or Finnish authorities give those details, the news is the approval itself and a rollout that the company says will begin soon.

Daniel Lenton of Unify posted that OpenClaw, Hermes Agent and Prime Agent do not meaningfully learn from experience. On Continual ARC, Unify's new benchmark, he said none of them were able to memorize anything of value and none were able to generalize to new tasks, while training a small 9 billion parameter model's weights did both. Unify also published a benchmark page, a blog post, and a paper describing the test.

Daniel Lenton, posting about work at Unify, said OpenClaw, Hermes Agent and Prime Agent do not meaningfully learn from experience. On Continual ARC, which he called Unify's new benchmark, he said none of those agents were able to memorize anything of value and none were able to generalize to new tasks. He said training a small 9 billion parameter model's weights did both.

Unify's benchmark page describes Continual ARC as a test of skill acquisition over a working lifetime, credited to Daniel Lenton, Yusha Arif and Haris Mahmood. According to that page and Unify's blog, the benchmark serves a long stream of ARC puzzles in which the same tasks return with fresh inputs while new tasks keep arriving. After the stream, the learner is frozen and tested on fresh instances of tasks it already met, which is meant to measure memorization, and on tasks it never met, which is meant to measure generalization.

The blog says a 9 billion parameter model's weights, trained to imitate a stronger model, improved on both the puzzles it had seen and a set of new ones, while note taking harnesses did not show that kind of gain. Those details come from Unify's own writeups, not from the lead post, which named the agents and the headline result but did not list every score.

The result is Unify's own evaluation of its benchmark. Other teams have not yet been cited here as having confirmed the same ranking on a public leaderboard.

Watch for other labs to run the public Continual ARC stream and for Unify to publish verified results on its private held out set, which the company has invited outsiders to submit to.

The open question is whether later agent harnesses can close the gap that Lenton reported, or whether teams will need to train model weights to get lasting memory and transfer. Until independent runs appear, these figures should be read as Unify's results on its own benchmark.

Anthropic is preparing for its IPO, and sell side analysts are the bank researchers who write about companies for investors. Jukan, an account that posts chip and AI industry notes, shared what it described as remarks Anthropic made in a meeting with the sell side. Anthropic has not publicly confirmed the remarks, so treat them as unverified.

Jukan posted a list of what it called interesting remarks Anthropic made in a meeting with sell side analysts. The post is secondhand, gives no source document, and has not been confirmed by Anthropic.

According to the post, Anthropic said it has stability and better talent than open source rivals, and that the AI market is winner take all, adding that as long as it executes properly it will take all of it. The post also says Anthropic told analysts its contract with SpaceX will not be extended beyond the middle of next year, and that developing Opus 5.5 cost more than $10 billion.

The note spread widely, passing 790,000 views. Aaron Burnett pushed back, arguing that critics were reading a secondhand meeting note without context, and that the SpaceX comment was likely an answer to an analyst question about being stuck with above market compute rates if demand slowed.

Elon Musk replied to Burnett that SpaceX would be happy to take the compute back, adding that he thinks the opposite is going to happen.

Anthropic's IPO filings and roadshow materials are the place to check these claims, especially any disclosure of compute contracts and model development costs. If the SpaceX deal does end in mid 2027, watch where Anthropic moves that capacity. Musk's reply suggests he expects Anthropic to want more SpaceX compute, not less, so any extension or new deal would be a clear signal either way.

Axios reported on Nov 11 that President Trump authorized a crackdown on companies suspected of diverting Nvidia's advanced AI chips to China, and that Commerce Secretary Howard Lutnick repeatedly stood in the way. Earlier that day, Axios reported that Treasury Secretary Bessent confronted Lutnick in the White House Situation Room over why Megaspeed, a company accused of diverting US chips to China, had not been blacklisted. Reuters also reported that a Chinese university linked to the People's Liberation Army bought Nvidia H200 chips despite being on a US export blacklist.

Axios reported in a scoop posted on Nov 11 that President Trump authorized a crackdown on companies suspected of diverting Nvidia's advanced AI chips to China, but that one administration official repeatedly stood in the way: Commerce Secretary Howard Lutnick. Reuters picked up the report, summarizing it as Lutnick stalling the crackdown.

The report followed a separate Axios scoop the same day about a confrontation in the White House Situation Room. According to posts citing Axios, Treasury Secretary Bessent asked Lutnick why Megaspeed, a company accused of illegally diverting US chips to China, had not been blacklisted, and Lutnick answered that he did not know and would look into it. Those posts say officials had warned Lutnick about Megaspeed for months.

The reports landed alongside other evidence of gaps in chip controls. Reuters reported that a Chinese university linked to the People's Liberation Army bought Nvidia's H200 AI chips despite being on a US export blacklist.

Chris McGuire, a commentator on export controls, called the Axios report stunning and wrote that the President reportedly ordered the crackdown three separate times. He argued that Lutnick and Jeff Kessler were defying those orders. These are his claims and characterizations, not confirmed findings.

The Commerce Department oversees US export controls on advanced chips, which makes its enforcement choices central to how many Nvidia chips reach Chinese buyers through other countries. The posts do not include a response from Lutnick or the Commerce Department.

Watch for a response from Lutnick or the Commerce Department, and for whether Megaspeed or other suspected diverters are added to the export blacklist in the coming days. Congress may use the reports to push for stricter chip control laws or hearings. Any visible crackdown on transshipment through Southeast Asia could hit Nvidia sales channels, while continued inaction would fuel criticism that the controls are not working. The story also runs alongside separate pressure on Nvidia's leadership, which could shape how Washington deals with the company.

AI companies are racing to build large data centers, and local fights over power prices, water and land use have grown. Earlier in the week, a Maryland activist helped block a planned $5 billion AI data center, according to Polymarket. Unusual Whales reported Hawley's position, quoting a spokesperson.

Unusual Whales reported that Senator Josh Hawley has endorsed a temporary pause on data center construction, which it said makes him the highest ranking Republican to back a nationwide moratorium.

The post quotes a Hawley spokesperson as saying the senator is calling for a federal data center moratorium until Congress passes a bill of rights giving taxpayers guarantees of no rate increases. The concern behind it is that the power demands of large data centers could push up electricity bills for ordinary households.

The post does not include a bill number or say whether Hawley plans to introduce legislation himself. It also does not say how long the pause would last or whether it would cover projects already under construction.

The report comes as data center expansion faces local opposition. Polymarket posted earlier in the week that a Maryland activist helped block a $5 billion AI data center planned for the site of an abandoned shopping mall after gathering more than 25,000 signatures, a post that drew millions of views.

Watch for whether Hawley turns the position into a bill and whether other Republicans or Democrats sign on. A federal moratorium would face strong opposition from AI companies and from officials who see data centers as key to competing with China, so the more likely near term outcome is pressure for rules that protect households from higher power bills. Utility regulators and state legislatures may act sooner than Congress.

Robotaxi is Tesla's ride hailing service that uses its self driving software. Earlier on Nov 11, Tesla said its self driving system was approved in Finland. Elon Musk quoted the Robotaxi post.

The official Robotaxi account posted that Robotaxi now runs 24/7 in every city where the service is available, with an attached video. The post was published late on Nov 11 Eastern time.

Elon Musk quoted the announcement with a short comment saying that Robotaxi works 168 hours a week, the number of hours in a full week. By the time of this scan, his quote post had drawn more views than the original.

The post does not list which cities are covered, how many vehicles are in service, or whether safety monitors are still present in the cars. It also does not say whether overnight service carries any limits on pickup areas or ride types.

Running through the night matters for a ride hailing network because late hours are when many people lack other transport options, and because a vehicle that does not need a driver can in principle work far more hours than a human driver. The announcement came on the same day Tesla said its self driving system was approved in Finland.

Look for Tesla to share ride numbers, fleet size and safety data for the round the clock service, and for any expansion to new cities. Regulators in places where Robotaxi operates may also comment on overnight driverless rides. Comparisons with other driverless taxi operators on hours, coverage and safety are likely to follow, and the round the clock claim will be easy for riders to test city by city in the coming days.