0:09
The Devil We Got Used To: Normalcy Bias, Marjorie Taylor Greene, and the Art of the Fake Redemption Arc
Every one of us wakes up most mornings expecting the day to behave itself, like a dog that has never once bitten anyone and therefore we assume never will. That expectation has a name. Psychologists call it normalcy bias, and it is the quiet, stupid, completely unearned assumption that whatever happened yesterday is probably going to happen again today. Normalcy bias does not require your life to be good. It only requires your life to be boring in a way you can predict. If you are the kind of person who orders a Filet-O-Fish every single Friday like it is a religious sacrament, normalcy bias is what makes you assume McDonald’s will have fish on a random Friday afternoon, and when some regional supply chain hiccup leaves you standing at the counter being told they are out, you will feel a rage completely disproportionate to the price of the sandwich. That is not about the fish. That is about the universe breaking a promise it never actually made you.
Here is the part people miss: normalcy does not mean good. It just means normal. A person can be in a genuinely miserable situation and still develop a normalcy bias around the misery, because even suffering has a rhythm you can set your watch to, the same way you can get used to a smoke detector chirping every night at 3 a.m. and eventually just sleep through the apocalypse. Say you are in your twenties, dating someone you argue with so constantly that neither of you actually likes the other anymore, but the arguing has become the metronome of the relationship, the background hum of the whole operation. You expect to fight. You expect to make up. You expect Tuesday to look like every other miserable Tuesday. Then one day, seemingly out of nowhere, she dumps you. It was not out of nowhere. There were a hundred signs, all of them screaming, all of them ignored, because the daily dysfunction had become so routine that the actual ending felt like getting hit by a bus you swore only existed in other people’s neighborhoods. Psychologists call that specific gut-punch an expectancy violation, the moment reality snaps a pattern you had unconsciously bet your whole nervous system on continuing. For a lot of people that snap is genuinely traumatic, whether what came before was good, bad, or just a low simmering disaster you had learned to call home.
Politics runs on this exact mechanism, except it runs on it constantly, at national scale, with worse hair and significantly more lying. A country settles into a normal. Something detonates that normal. The country picks through the rubble and calls the wreckage a new normal. Then something detonates that one too. Rinse, repeat, forever, like a horror movie franchise that keeps getting sequels nobody asked for because the first one made money. It is not a bug in how democracies process shocks, it is closer to the operating system. The real question is not whether the cycle keeps spinning, because it absolutely will, it is what quietly gets shoved into the category of “fine, whatever” every time the wheel turns, and whether anybody has the stomach to admit what just got swallowed.
And here is the sneaky part: the cycle never announces itself while it is happening. Nobody gets a push notification saying, hey, the baseline just moved, please adjust your outrage settings accordingly. The new normal just kind of oozes in overnight, like mold, and within a year or two the thing that would have ended a career under the old normal barely rates a shrug and a scroll past in the new one. That is how genuinely deranged behavior gets laundered into background noise, and it works best precisely when nobody bothers to point at it and go, hey, wait a second.
From 1789 to 2016, the American presidency operated inside guardrails that both parties, whatever else they were lying about, mostly agreed to respect. Plenty of corruption in there. Plenty of cruelty, incompetence, scandal, the occasional flash of real heroism, the whole ugly buffet of human government. But underneath all of it sat one non-negotiable rule: you run, you win or you lose, and if you lose, you accept it like an adult and get out of the building. Forty-four transitions of power happened this way, through wars, depressions, and assassinations, and the losing side always eventually took the L and went home. Then, on June 16, 2015, Donald Trump rode down a golden escalator like a Bond villain who forgot to buy a volcano lair, announced he was running for president, and the rules that had held for two hundred twenty-six years started disintegrating in real time, because it turns out normalcy bias does not check your IQ, your resume, or how many books you have written before it grabs you by the throat.
Marc Lamont Hill, a genuinely sharp cultural commentator, went on The Breakfast Club in August of 2016 and told Charlamagne, DJ Envy, and Angela Yee, “I’m not scared of Trump.
5:28
Why Michigan Is The Epicenter of the Democratic Party's Future
News broke of Graham Platner’s sexual assault allegation during my live chat with progressive commentator and organizer Jess Craven. We discussed it while talking about a bigger conversation happening within American politics, which is the rising, bipartisan rage against the broligarchy and what is deemed “the establishment.”
Spoiler alert: Jess and I believe Platner should resign in light of this credible accusation. Mainers decided to back him despite his troubling history because they wanted a political outsider who reflected their positions. Janet Mills, the establishment candidate, refused to adapt or evolve. Still, the Democratic Party and its donors doubled down on her and were opposed to Platner even before the scandals.
Why?
He represents their waning influence and power over the party. Melat Kiros just won by double digits in Colorado as a Democratic Socialist who is against ICE, forever wars, the broligarchy, and Israel’s genocide. Mamdani is an extremely popular mayor of NYC who is getting things done by flexing his power. His three picks in New York all swept, including Darializa Chevalier, who overcame a nasty and racist smear campaign days before the elections.
Maybe you can dismiss these wins as aberrations. After all, New York is a cesspool of godless, gay, Muslim, atheist, Marxist vegans.
But what about Michigan? You know, the Rust Belt? The swing state? The heartland?
That’s what Abdul El-Sayed is doing right now. He’s up against Haley Stevens, who is AIPAC’s groomed candidate. Mallory McMorrow just suspended her campaign over the weekend. Despite the polls having El-Sayed beating Republican Mike Rogers, the Democratic establishment and its acolytes still say he is “unelectable.”
The Michigan race reflects the divide within the Democratic Party and will reveal if the establishment has finally lost its reach and control.
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7:55
[AINews] The Field Guide to Fable
While we congratulate (friend of the show!) General Intuition on their new model and (friend of the show!) Shunyu Yao on their new model, and the world awaits the release of GPT-5.6 Sol Ultra, people are racing to find the limits of Fable 5 before the subscription subsidy ends tomorrow.
Thariq had been working on a “Field Guide to Fable” blog series, and happened to have a keynote planned the day of the relaunch, so he kindly pivoted the entire keynote in one night to give the most timely advice he had, which was released today:
The 4 segments are (my watchalong commentary in italics):
0:00 Introduction and setting the stage for Fable
2:32 Unhobbling Claude: Understanding model behavior
The constraints on a model are often imposed by US - “the harness we put them in, and the way we prompt them”. Therefore when we encounter a new class of model, we should expect to remove or change those harnesses and prompts in order to elicit new behaviors that you otherwise would never see because you were overly limiting (aka hobbling) the model.
Case in point: most people have come to agree with Thariq on the unreasonable effectiveness of HTML.
9:08 Finding your unknowns: Navigating the gap between map and territory
a close cousin to “unhobbling” - if unhobbling is about clearing out outdated knowns, then this is about finding things you didn’t even know you didn’t know.
easiest techniques:
telling claude to do a “blindspot pass” for your unknowns
brainstorm for “wildly different design directions”
interview me - similar to /grill-me, but prioritizing high impact questions
use references: in the case of migrations
keep implementation-notes.md: a running log of underspecified decisions made on your behalf
quiz me - ensure MY understanding
14:29 Dealing with Grief: Reflecting on the emotional shift in coding productivity
What you used to spend weeks on is now done in hours
16:30 Being unreasonable: Demanding good, fast, and cheap results
“Tradeoffs are not real” - because Fable is more capable, you can be more ambitious and not accept tradeoffs.
“Building is easy, generating value is still hard”.
Overall, an excellent talk that we will be mapping out the implications of as the world acclimatizes to the first Fable-class models.
AI News for 7/04/2026-7/06/2026. We checked 12 subreddits, 544 Twitters and no further Discords. AINews’ website lets you search all past issues. As a reminder, AINews is now a section of Latent Space. You can opt in/out of email frequencies!
Tencent Hunyuan’s Hy3 Release and the Open-Weight Frontier
Hy3 lands as a serious open model: Tencent released Hy3 under Apache 2.0, a 295B MoE with 21B active parameters, 192 experts / top-8 routing, GQA, 256K context, and a 3.8B MTP layer for speculative decoding. Multiple posts framed it as competitive with much larger systems on reasoning, coding, and agentic tasks, with particular emphasis on reliability improvements like tool-calling stability and anti-hallucination work @eliebakouch, @HuggingPapers, @ShunyuYao12.
Inference support was unusually day-0 mature: @vllm_project said Hy3 runs natively in vLLM from launch with tool-call and reasoning parsers, MTP speculative decoding, and validated support on NVIDIA and AMD. A follow-up detailed Tencent production kernels now upstreamed into vLLM main, including load-balanced decode scheduling and fused FP8 MoE serving, with reported gains of up to 2.95x on mixed-length decode and latency reductions of roughly 24% TTFT and 17% TPOT versus default backends @vllm_project. Community reaction was strong enough that @Teknium quickly made Hy3 free on Nous Portal for two weeks.
Broader open-model context: Hy3 was immediately compared against GLM-5.2, with some posters arguing Tencent has now joined the very top tier of open-source labs if the benchmark and vibe-test results hold @teortaxesTex, while others still maintained GLM-5.2 as the best currently usable open-weight model in practice @tinygrad, @mbusigin. The net takeaway: the open frontier is compressing fast, and the competition is increasingly about deployment robustness rather than just raw leaderboard deltas.
Agent Benchmarks, Harnesses, and Long-Running Memory
AutomationBench-AA adds a more realistic agent eval: @ArtificialAnlys launched an independent leaderboard for Zapier’s AutomationBench, evaluating agents across 657 tasks and 40 simulated SaaS apps with both objectives and guardrails. Claude Fable 5 led at 48.6%, narrowly ahead of Opus 4.8 at 48.5%, with Gemini 3.5 Flash at 42.6% and GPT-5.5 xhigh at 42.1%. More interesting than the ranking: every model still breaks business rules, and Gemini looked notably strong on objective-per-guardrail-violation and cost efficiency.
12:59
The Six AGaaS Moats
Every business model transition redefines what defensibility means. SaaS had its own moat vocabulary — seat lock-in, network effects, switching costs on stored data, ecosystem depth. Those moats worked because SaaS sold access to tools that humans operate, and defensibility grew around human usage patterns.
AGaaS breaks that vocabulary because AGaaS sells something structurally different. AGaaS — Agentic-as-a-Service — charges for the execution of outcomes by agents, not for access to tools operated by humans.
That single reframing is the disruption. It rewires what gets sold (outcomes, not access), who does the buying (business budgets, not IT budgets), where margin lives (substrate, not interface), and which metrics still predict the future (consumption, not seats). Every SaaS moat was built for a world where the seat was the atomic billing unit. In AGaaS, the seat is gone. The agent is the atomic unit, and the moats have to be rebuilt from scratch around it.
Three sequential inversions define the transition, and understanding them is prerequisite to understanding what defensibility looks like inside the shift:
The operator inversion. The agent, not the human, operates the workflow. The billing unit stops tracking headcount and starts tracking agent activity. Most enterprise software companies have completed this inversion architecturally by mid-2026, even if they have not repriced.
The buyer inversion. The person authorizing the purchase is the executive who owns the outcome (the CRO, the COO, the general counsel), not the IT function that owns the tool stack. Procurement, budget line-items, and the sales motion all rearrange. Most vendors are still mid-flight on this one.
The margin inversion. Gross margin structure shifts from “software plus support” (high fixed margin, low variable cost) to “consumption minus inference” (variable margin dominated by token cost). The P&L reshapes. This inversion is deferred at most incumbents through mechanisms like internal absorption (”Customer Zero”), buybacks, and reclassification, but it becomes visible once consumption revenue scales past a threshold.
The AGaaS transition is what these three inversions look like when they run through the enterprise software category. It has a canonical form, and its canonical form has been mapped in the prior work of this analytical arc:
Follow me on The AI Supercycle as well!
“From SaaS to AGaaS: The Full Cascade” (March 2026) mapped the underlying value-layer inversion — value migrating from the interface layer, where SaaS captured it, down to the substrate layer, where AGaaS captures it — and the five-layer cascade this inversion produces across the enterprise software stack. It also established the three canonical AGaaS pricing models: outcome-based, consumption-based, and hybrid.
“The Four Frictions of AGaaS” (April 2026) mapped the frictions that slow the transition — financial, operational, competitive, commercial — and why they multiply rather than add.
“The Tell: Salesforce Q1 FY27” (May 2026) used the largest pure enterprise-software incumbent as an instrument to locate where the transition actually sits. The verdict: architecturally migrating, mechanically still SaaS. Operator inverted, buyer not, margin deferred.
“The Four Intelligence Moats” (June 2026) — the direct parent to this piece — mapped how the entire AI stack builds defensibility across paradigms: corpus, verifier, harness, container. That piece established the machine-side moat map.
This piece completes the arc by mapping defensibility inside the transition itself. If old SaaS moats no longer apply and machine-side moats alone are not sufficient, what moats does an AGaaS company actually build? The answer is six — three inherited from the machine-side (verifier, harness, container), three new to the buyer relationship (trust, integration, feedback). Together they define what AGaaS defensibility looks like once the transition matures. They also determine, mechanically, which of the three AGaaS pricing models a company can actually charge — a link the closing section of this piece will make explicit.
The order in which the six moats are built matters more than the number of them. They are not parallel. They are serial. Each one unlocks the next. A company that tries to build them out of order finds itself with moats that do not compound — and, more consequentially, with pricing power that stalls at whichever inversion its missing moat was gating.
17:47
Introducing: Misery Marches
This Summer I will be leading the first “Misery March” in the Greater Toronto/Ontario area (TBA). Join the Anarchonomicon Discord Server.
Toronto, for those of you who have never been, is one of the most gorgeous, walkable, safe, pleasant dense urban cities in the World and North America in particular. The old “City of Toronto” or “Old Toronto”, is an amazing old Victorian grid city comprised of almost a hundred villages, town and neighborhoods, that all slowly merged together but all kept their individual quirks… One is even technically an independent republic of 200 people, that the federal government accidentally recognized its independence when their meme-protest became a feel good story 50 years ago (they still pay taxes).
The whole old city, is 16 miles wide and is sort-of a blend of New York and London… but without the Knife, Gun, or “youth” crime. And many lovely hiking trails that wind throughout the city’s hundred+ mile ravine network.
Pleasant summer hikes and walks and groups to walk, abound… You can find gorgeous trails and people to hike those trails or city tours anywhere… And Margaret and her friends aren’t forming a cohesive high trust super fit unit off of it.
Instead we’re going to take subways, streetcars, and buses populated by the strangest smelliest Star Wars Cantina creatures away from that…
We’re going outside Old Toronto, outside Metro Toronto, outside the leafy lovely expanses of endless walkability… And into the nightmare of the unwalkable, concrete MegaCity hellscape sprawl beyond Etobicoke, Scarborough, and the 401, where they shove the airports, and the industry, and the housing projects for all the recent immigrants, where the street signs themselves have been known to stop using the Latin alphabet.
The dead lands beyond Willowdale that RUSH described in The Necromancer.
In high summer. In Ontario humidity. On concrete heat islands that will cook an egg. And we’re going to walk 30km (20 miles). 6-9 hours in that scorching concrete hell where legend tells of second generation old Indian men who have never seen a white face.
Drive one hour outside Vancouver or Montreal, and you’re in the Mountains. Drive one hour outside Toronto… And you’re in Toronto.
We’re going into the heart of darkness, at the worst most miserable time of year to do so…Into lands often described as “Mumbai” or “New New Delphi” or “Bigger Hotter Syria”, Where all the worst trends of Sub-urbanism, mass migration, urbanism, boomerism, sprawl, and post-war mistakes all intersect into Barad-dûr like eyes of pure blighted suburban madness such as “Square One” or “Brampton Shoppers World” or “Woodbine Mall & Fantasy Fair” or “Vaughn Mills” or “First Markham Place” or “The University of Toronto- Scarborough” or “The Pickering Casino Resort”
There’s actually a non-zero chance one of us could die or be driven to madness of heat stroke, violence, mistrusting a corner-store, the parasitic macro-millipedes, or other complications.
20 miles, in the Mid-day sun. Rain or Shine. Back to Civilization and the leafy-green bubble of inner Toronto… The hard way.
But why?
The Rules of a misery march are simple. You and your comrades use google maps to scout out and hunt down the most miserable, blighted, sprawled out, industrial parked, almost unreachable segment of your metro area. The part no one you have ever met has ever been… Then using Public transit, skateboards, uber, taxi, your mom… Etc. To get there. Then you walk back 10-20 miles to the city core or whatever you consider civilization across 6-9 hours.
Depending on the Metro-area and local laws, you may want to be armed… But for Toronto purposes this is unnecessary (Toronto’s Lost Shades and Silent Hill-Esque monsters are nothing if not cowardly).
If anyone has to tap out part way for heatstroke, blisters, or for fear that the sadness will consume them… or their wife nags them to get home after a few hours, we don’t hold it against them. They did the important thing.
22:04
AI: A post-mortem on 'The Blip 2.0' at Anthropic. AI-RTZ #1140
It’s now officially three weeks since the lifting of Anthropic’s June 12 ‘Blip 2.0’ last week by the US Government. Named as such by me after ‘the Blip 1.0’ three years ago, when OpenAI’s non-profit board fired and re-hired founder/CEO Sam Altman over a globally stressful weekend.
Both times an interruption in the AI Tech Wave that was startlingly searing. With lots of unintended consequences still being felt today from the Blip 1.0.
And as I discussed last week, this second one is not yet completely behind us. Especially with the US government still gating both Anthropic and OpenAI on its latest next-generations of frontier ai models. Specifically Mythos from Anthropic and GPT 5.6 from OpenAI.
So it’s helpful to see what the latest post-mortem analysis on how it all went down reveals.
Axios goes through it all in “How the world’s top AI models were revived”:
“The fight that scrubbed the world’s most powerful AI models from the internet featured personality clashes, industry confusion and international backlash.”
“Why it matters: Anthropic’s models are back online, but the impact of its 20-day showdown with the Trump administration will be long lasting.”
“Behind the scenes: It began when Amazon, Anthropic’s partner and investor, sounded an alarm that was later disputed by cybersecurity experts.”
“It warned about a “jailbreaking” issue it found with the AI lab’s latest models, Mythos and Fable — meaning a technical flaw that could have caused a failure of their guardrails.”
“Amazon flagged its concerns to the administration, triggering sweeping export controls. A U.S. official said the government conducted its own tests once it became apparent that the issue needed to be addressed.”
“Cybersecurity experts, however, later wrote in an open letter to the administration that other leading AI models have the same issue Amazon warned about with Anthropic.”
Then the Friday evening events that set if all off with a call from Lutnick:
“On June 12, Commerce Secretary Howard Lutnick, at the direction of President Trump, called Anthropic CEO Dario Amodei.”
“Lutnick made clear to Amodei the issue needed to be resolved fast and alerted the CEO that the company would be receiving a letter imposing sweeping export controls, the U.S. official said.”
“Amodei called Lutnick back that night after receiving the letter, realizing it effectively meant the models would have to be taken offline — to which Lutnick responded that was indeed the goal.”
So clarity at last at that point on the near-term objective. Regardless of broader consequences for the US ‘AI Race’ vs China.
“That decision led to a three-week, multi-agency crash course in AI safety.”
“Anthropic deployed engineers to Washington D.C. According to a U.S. official, the company wanted to prove everything was already resolved and further changes were being fine tuned.”
“But the federal Center for AI Standards and Innovation and the National Security Agency said those changes weren’t good enough, prompting further fixes, according to the U.S. official.”
“Gradually, various agency heads approved of the changes, and on July 1 the models were released, the official said.”
Gears of the Government hard at work indeed.
“Out of all of the administration officials Amazon’s Andy Jassy could have called, it was Treasury Secretary Scott Bessent who first heard about the jailbreaking issue found in the company report, according to a separate source familiar.”
“Bessent was early to sound the alarm on Mythos, work with White House chief of staff Susie Wiles to reengage the embattled company and help get a cybersecurity executive order across the finish line.”
“While technical discussions to address the jailbreaking issue took place in D.C., it was Bessent who stood next to Trump during the G7, where allies called for global cooperation on safety standards.”
Nature abhores a vacuum as they say. And the departure of ‘AI and Crypto Czar’ David Sacks in recent days, left Secretary Lutnick at the AI helm, steering the US ship.
“At the center of the showdown was Lutnick, who also flanked Trump at the G7 meeting while his department’s teams led technical discussions.”
“National cyber director Sean Cairncross, the White House Office of Science and Technology Policy, Treasury Department chief information officer Sam Corcos and the NSA also all participated in technical discussions, according to various sources.”
“Washington mobilized faster to hold scores of meetings and pulled in far more agencies than one would expect for a single technical issue, one source said.”
Then it all guilt from there, continuing over to the G7 meeting in Europe, with Anthropic founder/CEO Dario Amodei in attendance. And meeting briefly with President Trump.
“The tension spiraled amid personality clashes and poor communication.”
“Anthropic eventually understood that in order to be successful, it needed to be on the same side as the government, the U.S.
27:24
All tameable X-Creature locations in ARK Survival Ascended Genesis 1
The launch of the Genesis 1 update in ARK Survival Ascended has added a fair number of X-Creatures in different parts of the map, and you can also tame some of them. To do so, you’ll need to find them in their habitats. X-Creatures are special variants that do more damage and also grant you more EXP. However, the real magic lies in taming them to add to your roster.
Let’s find out more about where you can find all the tameable X-Creatures on the Genesis 1 map.
Disclaimer: Work in progress.
Before I deep dive into the locations, it’s important to note that these creatures don’t have fixed locations. I have marked their hotspots in the images to make it easier for you to find.
You’ll typically find them at the Volcano biome, but they can be found in other areas of the map as well.
Preferable coordinates: Lat. 41-45, Long. 73-78.
You can find them in the Snow biome.
Preferable Coordinates: Lat. 80-82, Long. 8-9.
You can find this predator near the Volcano biome
Preferable Coordinates: Lat. 31, Long 88-91.
You can find it in the Snowy biome near the water bodies. If one doesn’t spawn, you’ll need to kill some Salmons to lure an Otter.
Preferable Coordinates: Lat. 72-74, Long 13-15.
You’ll usually find them in the Bog biome.
Preferable Coordinates: Lat. 55, Long 59-60.
You can find the Parasaur in the southern parts of the Bog.
Preferable Coordinates: Lat. 93, Long. 74
The X-Raptor can be found towards the middle area near the Bog biome. This is one creature that I didn’t find a preferred coordinate for. Just look for in the marked area, but you can also find them sometimes near the water.
You can find this creature towards the northern reaches of the Volcano biome.
Preferred Coordinates: Lat. 5, Long. 79.
There are certain spots in the Volcano biome where you’ll find caves with purple crystals. This is typically where you’ll find the X-Rock Elemental.
Preferable Coordinates: Lat. 20-21, Long. 91.
I found the Tapejara near the same spot as the X-Paracerathium.
Preferable Coordinates: Lat. 55, Long 59-60.
You can find this creature in the Snow biome.
Preferred Coordinates: Lat. 80, Long. 17.
You can find the X-Triceratops towards the middle of the Volcano biome.
Preferred Coordinates: Lat. 32, Long. 80
You’ll usually find the Spino all around the Bog.
Preferred Coordinates: Lat. 59, Long. 70
I will be adding the list of all X-Creatures that can be tamed and found in the Ocean biome. All the remaining details have been added on this guide.
The post All tameable X-Creature locations in ARK Survival Ascended Genesis 1 appeared first on Destructoid.
30:15
Pokémon GO Developer Niantic Changes Its Name And Logo
Niantic, the studio behind Pokémon GO, is getting a fresh look. After the $3.5 billion acquisition by Savvy Games Group’s Scopely last spring, the company will now operate under the name Scopely Explore. The rebrand includes a new logo that leans into the broader adventure theme the parent company wants to push.
The shift signals that the team behind the popular augmented reality game is being folded more tightly into Scopely’s portfolio. While the core of the Pokémon GO experience isn’t expected to change overnight, the branding move hints at a longer‑term strategy to expand beyond just one title.
Fans who have followed Niantic’s evolution from a Google spin‑off to a global AR powerhouse will notice the name change on future updates and press releases. The new visual identity is already rolling out across the company’s website and developer portals.
In short, the developer you know from catching creatures in your neighborhood will now be called Scopely Explore, and the logo will reflect that broader, exploratory vibe. It’s a subtle but clear step toward integrating the studio into Scopely’s larger gaming ecosystem.
31:33
Gigantic Xbox Layoffs See The Outer Worlds Dev Obsidian Lose 25% of Workforce
RPG studio impacted.
Obsidian Entertainment, the Xbox first-party studio behind The Outer Worlds, Avowed, and Grounded, has reportedly lost around 25% of its staff as Microsoft cuts thousands of jobs across its gaming brand.
These Obsidian-specific layoffs were not mentioned earlier in the day when the bad news first broke. Instead, they're being outed by Kotaku, who say that between 60 and 70 employees have lost their jobs.
Read the full article on pushsquare.com
32:10
Adaptability Key As UK Stadium Development Enters New Era
Manchester United's proposed £2B-plus Old Trafford regeneration. Birmingham City's planned Sports Quarter. Everton's newly opened waterfront stadium. AEG's proposed Edinburgh Arena. Tottenham Hotspur's acclaimed multi-use stadium. All are eye-catching stadium and arena projects. And all are examples of how developers, sports clubs and entertainment giants are increasingly treating venues as the centrepiece of mixed-use districts. Modern stadiums are now designed to generate income 365 days a year through hospitality, entertainment, offices, hotels, retail, residential development and public realm, creating long-term real estate value. But without adaptability, stadiums will not meet longer-term needs, attendees at Bisnow’s first European Sports and Entertainment Conference at Fulham Pier heard,...
