Podcasts about Boma

In Chapter 16 of The Book of Trump, Ghost welcomes engineer Brad Zerbo for a deep-dive into one of Donald Trump's most iconic creations: Trump Tower. What begins as a breakdown of Manhattan's architectural evolution turns into a full-on love letter to craftsmanship, strategic development, and the business mind behind the Trump Organization. From the stepped glass design of Trump Tower on 5th Ave to Trump City's sweeping Riverside South transformation, Brad shares firsthand experience building Trump projects and navigating New York's brutal construction world, where, he says, Trump was legendary for always paying on time. The duo also explores Parisian architecture, BOMA square footage battles, Gothic influences, tax abatements, and the philosophical shift from craftsmanship to soulless glass boxes. Then, they pivot to the future: Trump's bold expansion into the Middle East with new towers underway in Dubai and Jeddah. With floor plans priced from $1.1M and expected delivery in 2031, the Trump brand is positioning itself as a cornerstone in the coming global realignment. A rich blend of construction nerdery, historical context, and geopolitical vision, this episode builds far more than just towers.

Join Mike, Rikki, and Pam today as we answer lots of your Listener Questions! Today we start with a fun discussion on where you would end up on Cinco de Mayo at Walt Disney World, as bot Pam and Mike have spent many a year at WDW on this holiday and have some great memories! We also talk about planning and scheduling a quick trip over the Memorial Day holiday and how to get the most out of both theme park time and time at the resort. We discuss if we would pick Boma breakfast or dinner too, which is a really hard choice for most people! Finally, Mike brings up the new Walt Disney animatronic coming to Disneyland later this month at part of Disneyland's 70th Anniversary celebration, and talks about his excitement and nervousness at the same time! This and much more on today's show! Please come join the BOGP Clubhouse on our Discord channel at www.beourguestpodcast.com/clubhouse!  Thank you so much for your support of our podcast! Become a Patron of the show at www.Patreon.com/BeOurGuestPodcast.  Also, please follow the show on Twitter @BeOurGuestMike and on Facebook at www.facebook.com/beourguestpodcast.   Thanks to our friends at The Magic For Less Travel for sponsoring today's podcast!

Today we talk with Stephen Shepard, expert in BOMA (The Denver Metro Building Owners and Managers Association).He tells us what BOMA does for the industry and its members all around the metro area and the state!Stephen is the Executive Vice President of BOMA Denver Metro and BOMA Colorado. He loves seeing the Rockies every day from his office. Stephen is no stranger to BOMA as he also served in the same role for BOMA Austin 2015-2019 and BOMA Oakland/East Bay starting in January 2012. He is a Certified Association Executive (CAE) and has been an active member of the association industry since 2003. Stephen has worked for other associations in training and development, conferences, and membership roles and was the Chief Operating Officer at the American Accounting Association in Sarasota, Florida. Enjoy!to reach Stephen:Stephen Shepardstephens@bomadenver.org to reach Kieding:Katie WinterKwinter@kieding.comJaime BrunnerJBrunner@kieding.comwww.Kieding.com303.399.9100Hosts: Kim Hoff and Katie WinterProduction by Fred Winter https://shadowfromthesky.com/

Finalmente o tão prometido episódio de Brütal Legend vem à luz! Shin Koheo, Vivard, Almighty e Oswaldo trocam uma ideia sobre o provável mais decepcionante da história e sobre a sua incrível trilha sonora.Letra da versãoJack Black, Jack Black tá um game bomA ação é meio estranha, mas ce tem que ver os somNa trilha sonora só tem rock and rollE pra metaleiro, é igual estar num showTem duas do MastodonE do MegadethTem Motörhead e até CarcassDimmu Borgir, Kiss e AnvilTem Ozzy e também Manowar e OverkillTem Ozzy e também Manowar e Overkill

Can You Segway?Book 3 in 18 parts, By FinalStand. Listen to the ► Podcast at Explicit Novels.So exactly who was going to be sympathetic to their plight, who we cared about?Beyond my fevered dream of making a difference there was a pinch of reality. See, the Cabindans and the people of Zaire were both ethnic Bakongo and the Bakongo of Zaire had also once had their own, independent (until 1914) kingdom which was now part of Angola. The Bakongo were major factions in the Democratic Republic of Congo (DRC) -(formerly for a short time known as the nation of Zaire, from here on out to be referred to as the DRC and in the running for the most fucked up place on the planet Earth, more on that later)- and Congo (the nation) yet a minority in Angola. Having an independent nation united along ethnic and linguistic lines made sense and could expect support from their confederates across international boundaries.The Liberation Air ForceThe Earth & Sky operated under one constant dilemma ~ when would Temujin make his return? Since they didn't know and it was their job to be prepared for the eventuality if it happened tomorrow, or a century down the line, they 'stockpiled', and 'stockpiled' and 'stockpiled'.That was why they maintained large horse herds and preserved the ancient arts of Asian bowyers, armoring and weapons-craft. That was why they created secret armories, and sulfur and saltpeter sites when musketry and cannons became the new ways of warfare. They secured sources of phosphates and petroleum when they became the new thing, and so on.All of this boiled over to me being shown yet again I worked with clever, creative and under-handed people. The Khanate came up with a plan for a 'Union' Air Force {Union? More on that later} within 24 hours, and it barely touched any of their existing resources. How did they accomplish this miracle? They had stockpiled and maintained earlier generation aircraft because they didn't know when Temujin would make his re-appearance.They'd also trained pilots and ground crews for those aircraft. As you might imagine, those people grew old just as their equipment did. In time, they went into the Earth & Sky's Inactive Reserves ~ the rank & file over the age of 45. You never were 'too old' to serve in some capacity though most combat-support related work ended at 67.When Temujin made his return and the E&S transformed into the Khanate, those people went to work bringing their lovingly cared for, aging equipment up to combat-alert readiness. If the frontline units were decimated, they would have to serve, despite the grim odds of their survival. It was the terrible acceptance the Chinese would simply possess so much more war-making material than they did.Well, the Khanate kicked the PRC's ass in a titanic ass-whooping no one (else) had seen coming, or would soon forget. Factory production and replacement of worn machines was in stride to have the Khanate's Air Force ready for the next round of warfare when the Cease-fire ended and the Reunification War resumed.Always a lower priority, the Khanate military leadership was considering deactivating dozens of these reserve unit when suddenly the (Mongolian) Ikh khaany khairt akh dáé (me) had this hare-brained scheme about helping rebels in Africa, West Africa, along the Gulf of Guinea coast/Atlantic Ocean, far, far away, and it couldn't look like the Khanate was directly involved.They barely knew where Angola was. They had to look up Cabinda to figure out precisely where that was. They brought in some of their 'reservist' air staff to this briefing and one of them, a woman (roughly a third of the E&S 'fighting'/non-frontline forces were female), knew what was going on. Why?She had studied the combat records and performance of the types of aircraft she'd have to utilize... back in the 1980's and 90's and Angola had been a war zone rife with Soviet (aka Khanate) material back then. Since she was both on the ball, bright and knew the score, the War Council put her in overall command. She knew what was expected of her and off she went, new staff in hand. She was 64 years old, yet as ready and willing to serve as any 20 year old believer in the Cause.Subtlety, scarcity and audacity were the watchwords of the day. The Khanate couldn't afford any of their front-line aircraft for this 'expedition'. They really couldn't afford any of their second-rate stuff either. Fortunately, they had some updated third-rate war-fighting gear still capable of putting up an impressive show in combat ~ providing they weren't going up against a top tier opponents.For the 'volunteers' of the Union Air Force, this could very likely to be a one-way trip. They all needed crash courses (not a word any air force loves, I know) in Portuguese though hastily provided iPhones with 'apps' to act as translators were deemed to be an adequate stop-gap measure. Besides, they were advised to avoid getting captured at all cost. The E&S couldn't afford the exposure. Given the opportunity ~ this assignment really was going above and beyond ~ not one of these forty-six to sixty-seven year olds backed out.No, they rolled out fifty of their antiquated aircraft, designs dating back to the 1950's through the mid-70's, and prepared them for the over 10,000 km journey to where they were 'needed most'. 118 pilots would go (72 active plus 46 replacements) along with 400 ground crew and an equally aged air defense battalion (so their air bases didn't get blown up). Security would be provided by 'outsiders' ~ allies already on the ground and whatever rebels could be scrounged up. After the initial insertion, the Indian Air Force would fly in supplies at night into the Cabinda City and Soyo Airports.The composition,14 Mikoyan-Gurevich MiG-21 jet fighters ~ though she entered service in 1959, these planes' electronics were late 20th century and she was a renowned dogfighter. 12 were the Mig-21-97 modernized variant and the other two were Mig-21 UM two-seater trainer variants which could double as reconnaissance fighters if needed.14 Sukhoi Su-22 jet fighter-bombers ~ the original design, called the Su-17, came out in 1970, the first 12 were variants with the 22M4 upgrade were an early-80's package. The other 2 were Su-22U two-seat trainers which, like their Mig-21 comrades, doubled as reconnaissance fighters. The Su-22M4's would be doing the majority of the ground attack missions for the Cabindans, though they could defend themselves in aerial combat if necessary.6 Sukhoi Su-24M2 supersonic attack aircraft ~ the first model rolled off the production lines in the Soviet Union back in 1974. By far the heaviest planes in the Cabindan Air Force, the Su-24M2's would act as their 'bomber force' as well as anti-ship deterrence.8 Mil Mi-24 VM combat helicopters ~ introduced in 1972 was still a lethal combat machine today. Unlike the NATO helicopter force, the Mi-24's did double duty as both attack helicopter and assault transports at the same time.4 Mil Mi-8 utility helicopters, first produced in 1967. Three would act as troop/cargo transports (Mi-8 TP) while the fourth was configured as a mobile hospital (the MI-17 1VA).4 Antonov An-26 turboprop aircraft, two to be used as tactical transports to bring in supplies by day and two specializing in electronic intelligence aka listening to what the enemy was up to. Though it entered production in 1969, many still remained flying today.2 Antonov An-71M AEW&C twin-jet engine aircraft. These were an old, abandoned Soviet design the Earth & Sky had continued working on primarily because the current (1970's) Russian Airborne Early Warning and Control bird had been both huge and rather ineffective ~ it couldn't easily identify low-flying planes in the ground clutter so it was mainly only good at sea. Since the E&S planned to mostly fight over the land,They kept working on the An-71 which was basically 1977's popular An-72 with some pertinent design modifications (placing the engines below the wings instead of above them as on the -72 being a big one). To solve their radar problem, they stole some from the Swedish tech firm Ericsson, which hadn't been foreseen to be a problem before now.See, the Russians in the post-Soviet era created a decent AEW&C craft the E&S gladly stole and copied the shit out of for their front line units and it was working quite nicely ~ the Beriev A-50, and wow, were the boys in the Kremlin pissed off about that these days. Whoops, or was that woot?Now, the Khanate was shipping two An-71's down to Cabinda and somewhere along the line someone just might get a 'feel' for the style of radar and jamming the Cabindans were using aka the Swedish stuff in those An-71's. The Erieye radar system could pick out individual planes at 280 miles. The over-all system could track 60 targets and plot out 10 intercepts simultaneously. NATO, they were not, but in sub-Saharan Africa, there were none better.Anyway, so why was any of this important?Why the old folks with their ancient machines? As revealed, since the Earth & Sky had no idea when Temüjin would return, they were constantly squirreling away equipment. World War 2 gave them unequaled access to Soviet military technology and training.Afterwards, under Josef Stalin's direction, thousands of Russian and German engineers and scientists were exiled to Kazakhstan, Turkmenistan, Tajikistan, and Kyrgyzstan who were then snatched up (reportedly died in the gulags/trying to escape) and the E&S began building mirror factories modeled on the 'then current' Soviet production lines.So, by the early 1950's, the E&S was building, flying and maintaining Soviet-style Antonov, Beriev, Ilyushin, Myasishchev, Mikoyan-Gurevich, Sukhoi, Tupolev and Yakovlev airplanes. First in small numbers because their pool of pilots and specialists was so small.The E&S remedied this by creating both their own 'private' flight academies and technical schools. They protected their activities with the judicious use of bribes (they were remarkably successful with their economic endeavors on both side of the Iron Curtain) and murders (including the use of the Ghost Tigers).By 1960, the proto-Khanate had an air force. Through the next two decades they refined and altered their doctrine ~ moving away from the Soviet doctrine to a more pure combined-arms approach (the Soviets divided their air power into four separate arms ~ ADD (Long Range Aviation), FA (Front Aviation), MTA (Military Transport Aviation) and the V-PVO (Soviet Air Defenses ~ which controlled air interceptors).).It wasn't until the collapse of the Soviet Union and the independence of the various former SSR's that the E&S program really began to hit its stride. Still, while Russia faltered, China's PLAAF (Peoples' Liberation Army Air Force) began to take off. Since the Chinese could produce so much more, the E&S felt it had to keep those older planes and crews up to combat readiness. The younger field crews and pilots flew the newer models as they rolled off the secret production lines.Then the Unification War appeared suddenly, the E&S-turned Khanate Air Force skunked their PLAAF rivals due to two factors, a surprise attack on a strategic level and the fatal poisoning of their pilots and ground crews before they even got into the fight. For those Chinese craft not destroyed on the ground, the effects of Anthrax eroded their fighting edge. Comparable technology gave the Khanate their critical victory and Air Supremacy over the most important battlefields.What did this meant for those out-of-date air crews and pilots who had been training to a razor's edge for a month now? Their assignment had been to face down the Russians if they invaded. They would take their planes up into the fight even though this most likely would mean their deaths, but they had to try.When Operation Fun House put Russia in a position where she wasn't likely to jump on the Khanate, this mission's importance faded. The Russian Air Force was far more stretched than the Khanate's between her agitations in the Baltic and her commitments in the Manchurian, Ukrainian, Chechen and Georgian theaters.With more new planes rolling off the production lines, these reservist units began dropping down the fuel priority list, which meant lowering their flight times thus readiness. Only my hare-brained scheme had short-circuited their timely retirement. Had I realized I was getting people's grandparents killed, I would have probably made the same call anyway. We needed them.The KanateThe Khanate's #1 air superiority dogfighter was the Mig-35F. The #2 was the Mig-29. No one was openly discussing the Khanate's super-stealthy "Su-50", if that was what it was, because its existence 'might' suggest the Khanate also stole technology from the Indian defense industry, along with their laundry list of thefts from South Korea, Japan, Taiwan, the PRC, Russia and half of NATO.Her top multi-role fighters were the Su-47, Su-35S and Su-30SM. The Su-30 'Flanker-C/MK2/MKI were their 2nd team with plenty of 3rd team Su-27M's still flying combat missions as well.Strike fighters? There weren't enough Su-34's to go around yet, so the Su-25MS remained the Khanate's dedicated Close Air Assault model.Medium transport aircraft? The An-32RE and An-38. They had small, large and gargantuan transports as well.Bombers? The rather ancient jet-powered Tu-160M2's and Tu-22M2's as well as the even older yet still worthwhile turboprops ~ from 1956's ~ the Tu-95M S16.Helicopters? While they still flew updated variants of the Mil Mi-8/17 as military transports, the more optimized Kamov Ka-52 and Mil Mi-28 had replaced them in the assault role.Bizarrely, the Khanate had overrun several Chinese production lines of the aircraft frames and components ~ enough to complete fairly modern PLAAF (Peoples Liberation Army Air Force) FC-1 and J-10 (both are small multi-role fighter remarkably similar to the US F-16 with the FC-1 being the more advanced model, using shared Chinese-Pakistani technology and was designed for export,).They did have nearly two dozen to send, but they didn't have the pilots and ground crews trained to work with them, plus the FC-1 cost roughly $32 million which wasn't fundage any legitimate Cabindan rebels could get their hands on, much less $768 million (and that would just be for the planes, not the weeks' worth of fuel, parts and munitions necessary for what was forthcoming).Meanwhile, except for the An-26, which you could get for under $700,000 and the An-71, which were only rendered valuable via 'black market tech', none of the turboprop and jet aircraft the Khanate was sending were what any sane military would normally want. The helicopters were expensive ~ the 'new' models Mi-24's cost $32 million while the Mi-17's set you back $17 million. The one's heading to Cabinda didn't look 'new'.The Opposition:In contrast, the Angolan Air Force appeared far larger and more modern. Appearances can be deceptive, and they were. Sure, the models of Russian and Soviet-made aircraft they had in their inventory had the higher numbers ~ the Su-25, -27 and -30 ~ plus they had Mig-21bis's, Mig-23's and Su-22's, but things like training and up-keep didn't appear to be priorities for the Angolans.When you took into account the rampant corruption infecting all levels of Angolan government, the conscript nature of their military, the weakness of their technical educational system, the complexity of any modern combat aircraft and the reality that poor sods forced into being Air Force ground crewmen hardly made the most inspired technicians, or most diligent care-takers of their 'valuable' stockpiles (which their officers all too often sold on the black market anyway), things didn't just look bleak for the Angolan Air Force, they were a tsunami of cumulative factors heading them for an epic disaster.It wasn't only their enemies who derided their Air Force's lack of readiness. Their allies constantly scolded them about it too. Instead of trying to fix their current inventory, the Angolans kept shopping around for new stuff. Since 'new'-new aircraft was beyond what they wanted to spend (aka put too much of a dent in the money they were siphoning off to their private off-shore accounts), they bought 'used' gear from former Soviet states ~ Belarus, Russia and Ukraine ~ who sold them stuff they had left abandoned in revetments (open to the elements to slowly rot) on the cheap.To add to the insanity, the Angolans failed to keep up their maintenance agreements so their newly fixed high-tech machines often either couldn't fly, or flew without critical systems, like radar, avionics and even radios. Maybe that wasn't for the worst because after spending millions on these occasionally-mobile paperweights, the Angolans bought the least technologically advanced missile, gun and rocket systems they could get to put on these flying misfortunes.On the spread sheets, Angola had 18 Su-30K's, 18 Su-27, 12 Su-25's, 14 Su-22's, 22 Mig-23's, 23 Mig-21bis's and 6 Embraer EMB 314 Super Tucano (a turboprop aircraft tailor-made for counter-insurgency operations), 105 helicopters with some combative ability and 21 planes with some airlift capacity. That equated to 81 either air superiority, or multi-role jet fighters versus the 12 Union Air Force (actually the Bakongo Uni o de Cabinda e Zaire, For as Armadas de Liberta  o, For a Area ~ Liberation Armed Forces, Air Force (BUCZ-FAL-FA) Mig-21-97's.It would seem lopsided except for the thousands of hours of flight experience the 'Unionists' enjoyed over their Angolan rivals. You also needed to take into account the long training and fanatic dedication of their ground crews to their pilots and their craft. Then you needed to take into account every Unionist aircraft, while an older airframe design, had updated (usually to the year 2000) technology lovingly cared for, as if the survival of their People demanded it.A second and even more critical factor was the element of surprise. At least the PRC and the PLAAF had contingencies for attacks from their neighbors in the forefront of their strategic planning. The Angolans? The only country with ANY air force in the vicinity was the Republic of South Africa (RSA) and they had ceased being a threat with the end of Apartheid and the rise of majority Black rule in that country nearly two decades earlier.In the pre-dawn hours of 'Union Independence Day', the FAL-FA was going to smash every Angolan Air base and air defense facility within 375 miles of Cabinda (the city). Every three hours after that, they would be hitting another target within their designated 'Exclusion Zone'. Yes, this 'Exclusion Zone' included a 'tiny' bit of DRC (Democratic Republic of Congo) territory. The DRC didn't have an air force to challenge them though, so,Inside this 'Exclusion Zone', anything moving by sea, river, road, rail, or air without Unionist governmental approval was subject to attack, which would require neutral parties to acknowledge some semblance of a free and independent B U C Z. Worse for Angola, this 'Zone' included Angola's capital and its largest port, Luanda, plus four more of their ten largest urban centers. This could be an economic, military and humanitarian catastrophe if mishandled.The Angolan Army did not have significant anti-aircraft assets. Why would they? Remember, no one around them had much of an air force to worry about. The FAL-FA in turn could hit military convoys with TV-guided munitions 'beyond line of sight', rendering what they did have useless. It got worse for the Army after dark. The FAL-FA could and would fly at night whereas the average Angolan formation had Zip-Zero-Nadda night fighting capacity.Then geography added its own mountain of woes. As far as Cabinda was concerned, there was no direct land line to their border from Angola. Their coastal road only went as far as the port of Soyo where the Congo River hit the South Atlantic Ocean. Across that massive gap was the DRC where the road was not picked back up. Far up the coast was the DRC town of Muanda (with an airport) and though they did have a road which went north, it did not continue to the Cabindan border.Nope. To get at Cabinda from the south meant a long, torturous travel through northeastern Angola, into the heart of the DRC then entailed hooking west to some point 'close' to the Cabindan frontier before finally hoofing it overland through partially cleared farmland and jungle. Mind you, the DRC didn't have a native air force capable of protecting the Angolans in their territory so,In fact the only 'road' to Cabinda came from the Republic of Congo (Congo) to the north and even that was a twisted route along some really bad, swampy terrain. This had been the pathway of conquest the Angolans took 39 years earlier. The difference being the tiny bands of pro-independence Cabindan guerillas back then couldn't hold a candle to the Amazons fighting to free Cabinda this time around in numbers, zeal, training and up-to-date equipment.Next option ~ to come by sea. They would face a few, stiff problems, such as the FAL-FA having ship-killer missiles, the Angolan Navy not being able to defend them and the Unionists having no compunction to not strike Pointe-Noire in the 'not so neutral' Republic of the Congo if they somehow began unloading Angolan troops. It seemed the Republic of the Congo didn't have much of an Air Force either.Before you think the FAL-FA was biting off more than they could chew, Cabinda, the province, was shaped somewhat like the US State of Delaware, was half the size of Connecticut (Cabinda was 2,810 sq. mi. to Conn.'s 5,543 sq. mi.) and only the western 20% was relatively open countryside where the Angolan Army's only advantage ~ they possessed armed fighting vehicles while the 'Unionists' did not (at this stage of planning) ~ could hopefully come into play.Centered at their capital, Cabinda (City), jets could reach any point along their border within eight minutes. Helicopters could make it in fifteen. To be safe, some of the FAL-FA would base at the town of Belize which was in the northern upcountry and much tougher to get at with the added advantage the Angolans wouldn't be expecting the FAL-FA to be using the abandoned airfield there, at least initially.Where they afraid attacking Angolan troops in the DRC would invite war with the DRC? Sure, but letting the Angolans reach the border unscathed was worse. Besides, the DRC was in such a mess it needed 23,000 UN Peacekeepers within her borders just to keep the country from falling apart. Barring outside, read European, intervention, did "Democratically-elected since 2001" President (for Life) Joseph Kabila want the FAL-FA to start dropping bombs on his capital, Kinshasa, which was well within reach of all their aircraft?Congo (the country), to the north, wasn't being propped up by the UN, or anything else except ill intentions. In reality, it hardly had much of a military at all. Its officer corps was chosen for political reliability, not merit, or capability. Their technology was old Cold War stuff with little effort to update anything and, if you suspected corruption might be a problem across all spectrums of life, you would 'probably' be right about that too.If you suspected the current President had been in charge for a while, you would be correct again (1979-1992 then 2001- and the 'whoops' was when he accidently let his country experiment with democracy which led to two civil wars). If you suspected he was a life-long Communist (along with the Presidents of the DRC and Angola), you'd be right about that as well. Somehow their shared Marxist-Leninist-Communist ideology hadn't quite translated over to alleviating the grinding poverty in any of those countries despite their vast mineral wealth,At this point in the region's history, little Cabinda had everything to gain by striving for independence and the vast majority of 'warriors' who could possibly be sent against her had terribly little to gain fighting and dying trying to stop them from achieving her goal. After all, their lives weren't going to get any better and with the Amazons ability ~ nay willingness ~ to commit battlefield atrocities, those leaders were going to find it hard going to keep sending their men off to die.And then, it got even worse.See, what I had pointed out was there were two oil refineries in Angola, and neither was in Cabinda. Cabinda would need a refinery to start making good on their oil wealth ~ aka economically bribe off the Western economies already shaken over the Khanate's first round of aggressions.But wait! There was an oil refinery just across the Congo River from Cabinda ~ which meant it was attached to mainland Angola. That had to be a passel of impossible news, right?Nope. As I said earlier, it seemed the people of northern Angola were the same racial group as the Cabindans AND majority Catholic while the ruling clique wasn't part of their ethnic confederacy plus the farther south and east into Angola you went, the less Catholic it became.But it got better. This province was historically its own little independent kingdom (called the Kingdom of Kongo) to boot! It had been abolished by Portugal back in 1914.The 'good' news didn't end there. Now, it wasn't as if the leadership of Angola was spreading the wealth around to the People much anyway, but these northerners had been particularly left out of this Marxist version of 'Trickle Down' economics.How bad was this? This northwestern province ~ called Zaire ~ didn't have any railroads, or paved roads, linking it to the rest of the freaking country. The 'coastal road' entered the province, but about a third of the way up ran into this river, which they'd failed to bridge (you had to use a single track bridge farther to the northeast, if you can believe it). It wasn't even a big river. It was still an obstacle though.How did the Angolan government and military planned to get around? Why by air and sea, of course. Well, actually by air. Angola didn't have much of a merchant marine, or Navy, to make sealift a serious consideration. Within hours of the 'Union Declaration of Independence' anything flying anywhere north of the Luanda, the capital of Angola, would essentially be asking to be blown out of the sky.Along the border between Zaire province and the rest of Angola were precisely two chokepoints. By 'chokepoints', I meant places where a squad (10 trained, modernly-equipped troopers) could either see everything for miles & miles over pretty much empty space along a river valley and the only bridge separating Zaire province from the south, or overlook a ravine which the only road had to pass through because of otherwise bad-ass, broken terrain.Two.Zaire Province had roughly the same population as Cabinda ~ 600,000. Unlike Cabinda, which consisted of Cabinda City plus a few tiny towns and rugged jungles, Zaire had two cities ~ Soyo, with her seventy thousand souls plus the refinery at the mouth of the Congo River, and M'banza-Kongo, the historical capital of the Kingdom of Kongo, spiritual center of the Bakongo People (who included the Cabindans) and set up in the highlands strategically very reminiscent of Điện Biàn Phủ.Of Zaire's provincial towns, the only other strategic one was N'Zeto with her crappy Atlantic port facility and 2,230 meter grass airport. The town was the northern terminus of the National Road 100 ~ the Coastal Road. It terminated because of the Mebridege River. There wasn't a bridge at N'Zeto though there was a small one several miles upstream. N'Zeto was also where the road from provinces east of Zaire ended up, so you had to have N'Zeto ~ and that tiny bridge ~ to move troops overland anywhere else in Zaire Province.So you would think it would be easy for the Angolan Army to defend then, except of how the Amazons planned to operate. They would infiltrate the area first then 'rise up in rebellion'. Their problem was the scope of the operation had magnified in risk of exposure, duration and forces necessary for success.The serious issue before Saint Marie and the Host in Africa were the first two. They could actually move Amazons from Brazil and North America to bolster their numbers for the upcoming offensive. Even in the short-short term, equipment wouldn't be a serious problem. What the Amazons dreaded was being left in a protracted slugfest with the Angolan Army which the Condottieri could jump in on. The Amazons exceedingly preferred to strike first then vanish.There was reason to believe a tiny number could have stayed behind in Cabinda to help the locals prepare their military until they could defend themselves. They would need more than a hundred Amazons if Cabinda wanted to incorporate Zaire. The answer was to call back their newfound buddy, the Great Khan. While he didn't have much else he could spare (the Khanate was ramping up for their invasion of the Middle East after all, the Kurds needed the help), he had other allies he could call on.India couldn't help initially since they were supposed to supply the 'Peace-keepers' once a cease-fire had been arranged. That left Temujin with his solid ally, Vietnam, and his far shakier allies, the Republic of China and Japan.First off ~ Japan could not help, which meant they couldn't supply troops who might very well end up dead, or far worse, captured.. What they did have was a surplus of older equipment the ROC troops were familiar with, so while the ROC was gearing up for their own invasion of mainland China in February, they were willing to help the Chinese kill Angolans, off the books, of course.The ROC was sending fifteen hundred troops the Khanate's way to help in this West African adventure with the understanding they'd be coming home by year's end. With Vietnam adding over eight hundred of her own Special Forces, the Amazons had the tiny 'allied' army they could leave shielding Cabinda/Zaire once the first round of blood-letting was over.To be 'fair', the Republic of China and Vietnam asked for 'volunteers'. It wasn't like either country was going to declare war on Angola directly. Nearly a thousand members of Vietnam's elite 126th Regiment of the 5th Brigade (Đặc cáng bộ) took early retirement then misplaced their equipment as they went to update their visas and inoculations before heading out for the DRC (some would be slipping over the DRC/Cabindan border).On Taiwan, it was the men and women of the 602nd Air Cavalry Brigade, 871st Special Operations Group and 101st Amphibious Reconnaissance Battalion who felt the sudden desire to 'seek enlightenment elsewhere, preferably on another continent'.They too were off to the Democratic Republic of Congo, man that country was a mess and their border security wasn't worth writing home about, that's for damn sure, via multiple Southeast Asian nations. Besides, they were being issued fraudulently visas which showed them to be from the People's Republic of China, not the ROC/Taiwan. If they were captured, they were to pretend to "be working for a Communist Revolution inside Angola and thus to be setting all of Africa on fire!" aka be Mainland Chinese.There, in the DRC, these Chinese stumbled across, some Japanese. These folks hadn't retired. No. They were on an extended assignment for the UN's mission in, the DRC. OH! And look! They'd brought tons of surplus, outdated Japanese Self Defense Forces' equipment with them, and there just so happened to be some Taiwanese who had experience in using such equipment (both used US-style gear).And here was Colonel Yoshihiro Isami of the Chūō Sokuō Shūdan (Japan's Central Readiness Force) wondering why he and his hastily assembled team had just unloaded,18 Fuji/Bell AH-1S Cobra Attack helicopters,6 Kawasaki OH-6D Loach Scout helicopters,12 Fuji-Bell 204-B-2 Hiyodori Utility helicopters,6 Kawasaki/Boeing CH-47JA Chinook Transport helicopters and4 Mitsubishi M U-2L-1 Photo Reconnaissance Aircraft.Yep! 46 more aircraft for the FAL-FA!Oh, and if this wasn't 'bad enough', the Chinese hadn't come alone. They'd brought some old aircraft from their homes to aid in the upcoming struggle. Once more, these things were relics of the Cold War yet both capable fighting machines and, given the sorry state of the opposition, definitely quite deadly. A dozen F-5E Tiger 2000 configured primarily for air superiority plus two RF-5E Tigergazer for reconnaissance, pilots plus ground crews, of course.Thus, on the eve of battle, the FAL-FA had become a true threat. Sure, all of its planes (and half of its pilots) were pretty old, but they were combat-tested and in numbers and experience no other Sub-Saharan African nation could match.The Liberation Ground Forces:But wait, there was still the niggling little problem of what all those fellas were going to fight with once they were on the ground. Assault/Battle rifles, carbines, rifles, pistols, PDW, SMGs as bullets, grenades and RPG's were all terrifyingly easy to obtain. The coast of West Africa was hardly the Port of London as far as customs security went. They were going to need some bigger toys and their host nations were going to need all their native hardware for their upcoming battles at home.And it wasn't like you could advertise for used IFV (Infantry Fighting Vehicles), APCs (armored personnel carriers) and tanks on e-Bay, Amazon.com, or Twitter. If something modern US, or NATO, was captured rolling around the beautiful Angolan countryside, shooting up hostile Angolans, all kinds of head would roll in all kinds of countries, unless the country,A) had an Executive Branch and Judiciary who wouldn't ask (or be answering) too many uncomfortable questions,B) wasn't all that vulnerable to international pressure,C) really needed the money and,D) didn't give a fuck their toys would soon be seen on BBC/CNN/Al Jazeera blowing the ever-living crap out of a ton of Africans aka doing what they were advertised to do and doing it very well in the hands of capable professionals.And politics was kind enough to hand the freedom-loving people of Cabinda & Zaire a winner, and it wasn't even from strangers, or at least people all that strange to their part of the Globe. If you would have no idea who to look for, you wouldn't be alone.That was the magic of the choice. See, the last three decades had seen the entire Globe take a colossal dump on them as a Nation and a People. They were highly unpopular for all sorts of things, such as Crimes Against Humanity and 'no', we were not talking about the Khanate.We would be talking about Република Србија / Republika Srbija aka Serbia aka the former Yugoslavia who had watched all their satellite minions (Slovenia, Croatia, Bosnia & Herzegovina, Montenegro, Kosovo and Macedonia) slip away. Despite being reduced to a tiny fraction of their former selves thus fighting two incredibly brutal and bloody World Wars for nothing, Serbia insisted on maintaining a robust armaments industry.Mind you, they didn't make the very best stuff on the planet. That didn't stop them from trying though. Of equal importance was their geographic location and the above mentioned desire for some hard currency without asking too many questions. The geography was simple, you could move even heavy gear unnoticed from central Serbia to the Montenegrin port of Bar by rail and load them up on freighters and off to the Congo you went.The Serbians produced an APC called the BVP M-80A's which weren't blowing anyone's minds away when they started rolling off the production lines back in 1982, plus some over-eager types on the Serbian Army's payroll sweetened the deal by offering 'the rebels' some BVP M-80 KC's and a KB as well.Then they slathered on the sugary-sweet Maple syrup by upgrading a few of the M-80A's to BVP M-98A's. Why would they be so generous? The KC's and KB were the Command & Control variants, so that made sense (C = company & B = battalion commander). The -98A had never been tested in the field before and they were kind of curious how the new turrets (which was the major difference) would behave. 'Our' procurement agents didn't quibble. We needed the gear.Besides, these Slavic entrepreneurs gave them an inside track on some 'disarmed/mothballed' Czech (introduced in 1963) armored mobile ambulances and Polish BWP-1 (first rolled out in 1966) APC's which were either in, or could be quickly configured into, the support variants those ground-fighters would need. The 'disarmed' part was 'fixable', thanks to both the Serbians and Finland. The 'missing' basic weaponry was something the Serbians could replace with virtually identical equipment.It just kept getting better. Unknown to me at the time, the Finnish firm, Patria Hágglunds, had sold twenty-two of their 'most excellent' AMOS turrets ~ they are a twin 120 mm mortar system ~ then the deal fell through. Whoops! Should have guarded that warehouse better. Those bitches were on a cargo plane bound for Albania inside of six hours.The ammunition for them was rather unique. Thankfully, it was uniquely sold by the Swiss, who had no trouble selling it to Serbia, thank you very much! Twenty-two BWP-1's became mobile artillery for the Unionist freedom fighters, though I understood the ship ride with the Serbian and Chinese technicians was loads of fun as they struggled to figured out how to attach those state-of-the-art death-dealing turrets to those ancient contraptions.To compensate, the Serbians added (aka as long as our money was good) two Nora B-52 155 mm 52-calibre mobile artillery pieces and one battery of Orkan CER MLRS (Multiple Launch Rocket System) for long-range artillery, two batteries of their Oganj 2000 ER MRLS for medium range carnage and six batteries of their M-94 MRLS for 'close support' as well. More field-testing new gear for the "freedom fighters" We also managed to 'purchase' ten M-84AS Main Battle tanks plus an M-84A1 armor recovery vehicle. It should have been twelve tanks, but two had 'loading issues'.Not to be deterred, our busy little procurement-beavers discovered four tanks no one was using, in neighboring Croatia. Why wasn't anyone immediately keen on their placement? They were two sets of prototypes, Croatia's improvements on the M-84; the M-95 Degman which was a 'failed redesign' and the M-84D, which was a vast up-grade for the M-84 line which had been sidelined by the 2008 Global economic collapse, after which the project stagnated.It seemed they were all in working order because late one night 'my people' exited a Croatian Army base with them, never to be seen again, until two weeks later when an intrepid news crew caught the distinctive form of the M-95 sending some sweet 125 mm loving the Angolan Army's way. Whoops yet again! At least they hit what they were aiming at and destroyed what they hit, right?By then, millions of other people would be going 'what the fuck?' right along with them as Cabinda's camouflage- and mask-wearing rebel army was laying the smack-down on the Angolans. That was okay; over a million 'free Cabindan Unionists' were in the same boat. Over a thousand Asians with their mostly-female militant translators were right there to prop up their 'Unionist Allies', but then they were the ones with the tanks, armored vehicles, planes and guns, so they were less worried than most.To pilot these tanks, APC, IFV and man this artillery, they had to go back to the Khanate. Sure enough, they had some old tankers used to crewing the T-72 from which the M-84's and -95 Degman were derived. They'd also need drivers for those BVP M-80A's and Polish BWP-1's and OT-64 SKOT's... who were, again, derived from old Soviet tech (just much better). The Serbian artillery was similar enough to Soviet stuff, but with enough new tech to make it 'more fun' for the reservists to 'figure out' how to use.More volunteers for the Liberation Armed Forces! More Apple sales, great apps and voice modulation software so that the vehicle commanders would be heard communicating in Portuguese if someone was eavesdropping. As a final offering the Turkish Navy spontaneously developed some plans to test their long range capabilities by going to, the South Atlantic.On the final leg they would have six frigates and two submarines, enough to give any navy in the region, which wasn't Brazil, something to think about. This was a show of force, not an actual threat though. If anyone called their bluff, the Khanate-Turkish forces would have to pull back. These were not assets my Brother, the Great Khan, could afford to gamble and lose.If someone didn't call that bluff, he was also sending two smaller, older corvettes and three even smaller, but newer, fast attack boats, a "gift" to the Unionists ASAP. The frigates would then race home, they had 'other' issues to deal with while the submarines would hang around for a bit. The naval gift was necessitated by the reality the Unionists would have to press their claim to their off-shore riches and that required a naval force Angola couldn't hope to counter.As things were developing, it was reckoned since a build-up of such momentous land and air power couldn't be disguised, it had to happen in a matter of days ~ four was decided to be the minimum amount of time. More than that and the government of the Democratic Republic might start asking far too many questions our hefty bribes and dubious paperwork couldn't cover. Less than that would leave the task forces launching operations with too little a chance of success.Our biggest advantage was audacity. The buildup would happen 100 km up the Congo River from Soyo, the primary target of the Southern Invasion, in the DRC's second largest port city, Boma. Though across the river was Angolan territory, there was nothing there. The city of roughly 160,000 would provide adequate cover for the initial stage of the invasion.There they grouped their vehicles & Khanate drivers with Amazon and Vietnamese combat teams. The Japanese were doing the same for their 'Chinese' counterparts for their helicopter-borne forces. Getting all their equipment in working order in the short time left was critical as was creating some level of unit dynamic. Things were chaotic. No one was happy. They were all going in anyway.What had gone wrong?While most children her age were texting their schoolmates, or tackling their homework, Aya Ruger ~ the alias of Nasusara Assiyaiá hamai ~ was getting briefings of her global, secret empire worth hundreds of billions and those of her equally nefarious compatriots. She received a very abbreviated version of what the Regents received, delivered by a member of Shawnee Arinniti's staff.When Aya hopped off her chair unexpectedly, everyone tensed. Her bodyguards' hands went to their sidearms and Lorraine (her sister by blood), also in the room on this occasion, stood and prepared to tackle her 'former' sibling to the ground if the situation escalated into an assassination attempt. No such attack was generated, so the security ratcheted down and the attendant returned her focus to her Queen. Aya paced four steps, turned and retraced her way then repeated the action three more times."How many people live in the combined areas?" she asked."The combined areas? Of Cabinda and Zaire?""Yes.""I," the woman referenced her material, "roughly 1.1 million.""What is the yearly value of the offshore oil and natural gas production?""Forty-nine billion, eighty hundred and sixty-seven million by our best estimates at this time,""How many live in Soyo City proper?""Roughly 70,000.""We take Soyo," she spoke in a small yet deliberate voice. "We take and hold Soyo as an independent city-state within the Cabindan-Zaire Union. From the maps it appears Soyo is a series of islands. It has a port and airport. It has an open border to an ocean with weaker neighbors all around.""What of the, Zairians?""Bakongo. As a people they are called the Bakongo," Aya looked up at the briefer. "We relocate those who need to work in Soyo into a new city, built at our expense, beyond the southernmost water barrier. The rest we pay to relocate elsewhere in Zaire, or Cabinda."By the looks of those around her, Aya realized she needed to further explain her decisions."This is more than some concrete home base for our People," she began patiently. "In the same way it gives our enemies a clearly delineated target to attack us, it is a statement to our allies we won't cut and run if things go truly bad.""In the same way it will provide us with diplomatic recognition beyond what tenuous handouts we are getting from Cáel Wakko Ishara's efforts through JIKIT. Also, it is a reminder we are not like the other Secret Societies in one fundamental way, we are not a business concern, or a religion. We are a People and people deserve some sort of homeland. We have gone for so long without.""But Soyo?" the aide protested. "We have no ties to it, and it backs up to, nothing.""Northern Turkey and southern Slovakia mean nothing to us now as well," Aya debated. "No place on Earth is any more precious than another. As for backing up to nothing, no. You are incorrect. It backs into a promise from our allies in the Earth & Sky that if we need support, they know where to park their planes and ships."Aya was surrounded with unhappy, disbelieving looks."The Great Khan is my mamētu meáeda," she reminded them, "and I have every reason to believe he completely grasps the concept's benefits and obligations."The looks confirmed 'but he's a man' to the tiny Queen."Aya, are you sure about this?" Lorraine was the first to break decorum."Absolutely. Do you know what he sent me when he was informed of my, ascension to the Queendom?""No," Lorraine admitted."We must go horse-riding sometime soon, Daughter of Cáel, Queen of the Amazons."More uncertain and unconvinced looks."He didn't congratulate me, or send any gifts. He could have and you would think he would have, but he didn't. He knew the hearts of me & my Atta and we weren't in the celebratory mood. No. The Great Khan sent one sentence which offered solace and quiet, atop a horse on a windswept bit of steppe."Nothing.Sigh. "I know this sounds Cáel-ish," Aya admitted, "but I strongly believe this is what we should do. We are giving the Cabindans and Bakongo in Zaire independence and the promise of a much better life than what they now face. We will be putting thousands of our sisters' lives on the line to accomplish this feat and well over two hundred million dollars.""What about governance of the city ~ Soyo?" the aide forged ahead."Amazon law," Aya didn't hesitate. "We will make allowances for the security forces of visiting dignitaries and specific allied personnel, but otherwise it will be one massive Amazon urban freehold.""I cannot imagine the Golden Mare, or the Regents, will be pleased," the attendant bowed her head."It is a matter of interconnectivity," Aya walked up and touched the woman's cheek with the back of her small hand. "We could liberate then abandon Cabinda with the hope a small band could help them keep their independence. Except we need the refinery at Soyo so the people of Cabinda can truly support that liberty.""So, we must keep Soyo and to keep Soyo, we must keep Zaire province. There is no other lesser border which makes strategic sense ~ a river, highlands, a massive river, an ocean ~ those are sustainable frontiers. You can't simply keep Soyo and not expect the enemy to strike and destroy that refinery, thus we must take Zaire province.""But the Bakongo of Zaire cannot defend themselves and will not be able to do so for at least a year, if not longer. That means we must do so, and for doing so, they will give us Soyo and we will be honest stewards of their oil wealth. We cannot expect any other power to defend this new Union and if we don't have a land stake we will be portrayed as mercenaries and expelled by hostile international forces.""So, for this project to have any chance of success, we must stay, fight and have an acknowledged presence, and if you can think of an alternative, please let me know," she exhaled."What if the Cabindans and Bakongo resist?""It is 'us', or the Angolans and they know how horrible the Angolans can be. Didn't you say the average person their lives on just $2 a day?""Yes.""We can do better than that," Aya insisted."How?" the aide persisted. "I mean, 'how in a way which will be quickly evident and meaningful?'""Oh," Aya's tiny brow furrowed. Her nose twitched as she rummaged through the vast storehouse of her brain."Get me in touch with William A. Miller, Director of the U.S. Diplomatic Security Service. He should be able to help me navigate the pathways toward getting aid and advisors into those two provinces ASAP.""I'll let Katrina know," the attendant made the notation on her pad."No. Contact him directly," Aya intervened. "We established a, rapport when we met. I think he might responded positively to a chance to mentor me in foreign relations.""Really?" Lorraine's brows arched."Yes," Aya chirped."Are you sure, Nasusara?" the attendant stared. She used 'Nasusara' whenever she thought Aya had a 'horrible' idea instead of a merely a 'bad' one."Yes. He owes me. Last time we met I didn't shoot him.""Didn't?" the woman twitched."Yes. I drew down on him with my captured Chinese QSW-06. I didn't want to kill him, but I felt I was about to have to kill Deputy National Security Advisor Blinken and he was the only other person in the room both armed and capable of stopping me.""Why is he still alive?""Cáel Ishara saw through my distraction and then took my gun from me, asked for it actually," she shyly confessed."Would you have shot him?" the aide inquired."What do you think?" Aya smiled.And Then:So, given t

From Disney culinary champions to running through every town in Connecticut, this episode of Rise and Run serves up a delicious mix of Disney dining discussions and an inspiring look at one of running's most unique communities.As the hosts close out their March Madness tournament of Disney table-service restaurants, passionate debates erupt over beloved dining spots like Beer Garden, Ohana, Boma, and California Grill. Watch as they navigate through tough decisions, occasional tie-breaking coin flips, and personal dining memories before crowning a champion that might surprise you.The heart of this episode features a captivating conversation with members of the Connecticut 169 running society. Founded in 2012, this remarkable community challenges runners to complete races in all 169 towns across Connecticut. Their stories reveal delightful traditions (like mandatory tutus for 100-town celebrations), the thrill of conquering "elusive towns" that rarely host races, and even dogs who've completed the entire challenge. As one member beautifully states, "You show up for the running, but you stay because of the people."Between heartfelt remembrances of a beloved community member, essential Springtime Surprise meet-up details, and a race report highlighting listener achievements across the country, this episode showcases what makes the running community so special—the connections formed while putting one foot in front of another.Planning to be at Walt Disney World for Springtime Surprise? Look for the hosts at the expo or pre-race gatherings, and don't miss their Saturday meetup at Disney Springs where homemade cookies await!Rise and Run LinksRise and Run Podcast Facebook PageRise and Run Podcast InstagramRise and Run Podcast Website and ShopRise and Run PatreonPassport to RunRunningwithalysha Alysha's Run Coaching (Mention Rise And Run and get $10 off)Rise and Run Podcast Cruise Interest Form with Magic Bound Travel Send us a textSupport the showRise and Run Podcast is supported by our audience. When you make a purchase through one of our affiliate links, we may earn a commission. As an Amazon Associate we earn from qualifying purchases.Sponsor LinksMagic Bound Travel Stoked Metabolic CoachingRise and Run Podcast Cruise Interest Form with Magic Bound Travel Affiliate LinksRise and Run Amazon Affiliate Web Page Kawaiian Pizza ApparelGoGuarded

March Madness fever sweeps through the Rise and Run Podcast as we launch our multi-episode tournament to crown the ultimate Walt Disney World sit-down restaurant! Using data from TouringPlans.com, our hosts have seeded 68 dining locations into four regions named after runDisney course staples: Plastic Cheese, Banana, Sports Bean, and Cliffs.Round one delivers thrilling upsets that will have Disney foodies buzzing. Watch as underdogs like Space 220 topple Wolfgang Puck, Yachtsman Steakhouse dethrones Yak & Yeti, and Roundup Rodeo BBQ outduels Liberty Tree Tavern. Meanwhile, powerhouses Sanaa, Boma, and California Grill advance as expected. The bracket sparked passionate debate about what makes a Disney dining experience truly exceptional - is it the food, atmosphere, or value? Let us know what you think.Beyond our culinary competition, we celebrate the announcement of runDisney's 10th anniversary Summer Virtual Series featuring Pirates of the Caribbean, Jungle Cruise, and Big Thunder Mountain medals. The hosts share their excitement about these attraction-themed designs while reminiscing about past virtual events.In our Race Report Spotlight, Morgan describes her experience at the Asheville Half Marathon while supporting a community still recovering from Hurricane Helene. Plus, with Springtime Surprise just two weeks away, we offer final training advice and highlight how the Hollarhype app is connecting our community during those crucial last training runs.Whether you're planning your next Disney vacation dining strategy or preparing for an upcoming race, this episode delivers the perfect blend of Disney magic and running motivation. Join our Rise and Run family as we continue our March Madness journey next week with round two of the restaurant bracket!Rise and Run LinksRise and Run Podcast Facebook PageRise and Run Podcast InstagramRise and Run Podcast Website and ShopRise and Run PatreonPassport to RunRunningwithalysha Alysha's Run Coaching (Mention Rise And Run and get $10 off)Rise and Run Podcast Cruise Interest Form with Magic Bound Travel Send us a textSupport the showRise and Run Podcast is supported by our audience. When you make a purchase through one of our affiliate links, we may earn a commission. As an Amazon Associate we earn from qualifying purchases.Sponsor LinksMagic Bound Travel Stoked Metabolic CoachingRise and Run Podcast Cruise Interest Form with Magic Bound Travel Affiliate LinksRise and Run Amazon Affiliate Web Page Kawaiian Pizza ApparelGoGuarded

Do you want to discuss the latest commercial property security solution with a real industry professional? Take the chance to meet with Nationwide Security Service Inc. at the BOMA 2025 Conference & Expo on June 28th! Check out https://nationwidesecurityservice.com/nationwide-security-service-boma-2025.html to learn more! Nationwide Security Service Inc. City: Malden Address: 208 Broadway Website: https://nationwidesecurityservice.com/

BOMA VÄVERI   Vi har träffat Maria Ljunggren på BOMA väveri som med stor entusiasm tog över väveriet 2019 och sa upp sig från sitt fasta jobb:   - En dag sommaren 2018 mötte jag Georg och hans fru Inger av en slump. Jag blev helt betagen av det lilla väveriet och kände mig hemma direkt. Våren 2019 vågade jag ta beslutet att ta över väveriet och driva det vidare in i framtiden.   Nu efter några års etablering väver Boma olika mattor. Grunden i företaget har varit plastmattor. Men nu har även ullen tagit en plats i väveriet. Både i samarbete med forsknings- och innovationsinstitutet RISE och i ett annat projekt tillsammans med Lotta Blom, aka Tant Kofta.   I projektet CITEX där RISE varit en samarbetspart har Boma deltagit och testat vävning med "ullspill" med korta fibrer och återvunna bomullsremsor. I avsnitt 33 av Ullpodden får vi höra mer om testerna både Maria från Boma och Stina Björqvist, forskare på RISE.   Samarbetet med Lotta Blom har lett till vävda mattor med garn i olika färgnyanser från Färöarna. Maria och Lotta har valt ut fyra olika mönster och vävt ullmattor i olika färger som de presenterar på Fårfesten i Kil 2025.   För mer information Boma Väveri  RISE CITEX   Produktion Fia Söderberg Intervjuer Malin Ögland Musik Per Åberg   20250225      

A comprehensive guide to touring Disney's Animal Kingdom, featuring insights from travel advisors Ryan and Julie. Learn optimal touring strategies for both families with young children and adults.Key Topics CoveredBest Touring Strategy for FamiliesRelaxed morning arrival recommended (no rope drop needed)Optimal ride sequence: Na'vi River Journey → Kilimanjaro Safari → Festival of the Lion KingStrategic Lightning Lane recommendations for Flight of PassageAfternoon activities including Discovery Island trails and the Boneyard playgroundCharacter dining at Tusker House RestaurantAdult/Older Kids Touring PlanEarly morning arrival recommended for Flight of PassageMorning ride sequence: Flight of Passage → Na'vi River Journey → Kilimanjaro SafariAfternoon focus on shows and animal treksEvening entertainment and dining optionsDining HighlightsQuick Service: Satu'li Canteen, Flame Tree BBQTable Service: Tusker House RestaurantNearby options: Sanaa and Boma at Animal Kingdom LodgeNomad Lounge for specialty drinksPro TipsRequest the back row on Kilimanjaro Safari for better viewsWatch for DiVine, the camouflaged performerTry the Night Blossom drink (available with rum)Best Tree of Life photo spots from Asia sectionDon't miss Winged Encounters show featuring macawsVisit the Adventurers Outpost for unique Mickey and Minnie meet-and-greetLightning Lane StrategyIndividual Lightning Lane recommended for Flight of PassageMulti-pass options for Na'vi River Journey, Kilimanjaro Safari, and Expedition EverestFestival of the Lion King Lightning Lane optional but convenientPlanning Your VisitContact the All Things Travel team at allthingstravelpodcast.com for customized Disney vacation planning services.Featured LocationThis episode's "Where in the World" segment highlights Lincoln Woods State Park in Lincoln Road Island, Rhode Island.#DisneyWorld #AnimalKingdom #DisneyTips #DisneyPlanning #TravelPodcast #DisneyVacation #WDW #TravelTips #FamilyTravelWant to cruise with Ryan and Julie in July 2025? Join our cruise with friends of the podcast (yes, that's you as a listener)! Check out the details: https://forms.gle/Jpikq82XPQS63v5N8Visit our website, allthingstravelpodcast.com, for freebies and more podcast info! Ready to plan your vacation? Most families are confused and overwhelmed when planning a vacation. We work with you to plan a trip perfect for your family. Saving you time, money, and stress! Visit our website www.allthingstravelpodcast.com and click on "Plan Your Next Vacation" Join the travel conversations and the fun in our Facebook Page and Instagram Page! Please share the show with your travel buddies!! Click this link and share the show! Never miss an episode and help us take you to the top with us by following and leaving a 5-Star review on your favorite podcasting app!

What if you could experience Disney World in a whole new way, free from the usual hustle and bustle of a family trip? Join us as we embark on a kid-free adventure through the parks, starting with a stay at the Port Orleans French Quarter. We're ready to explore its New Orleans charm and share our thoughts on the Disney Princess collection at Bath Body Works before diving into the magic of Animal Kingdom. Our journey is all about indulging in experiences we might skip with our kids, like savoring the flavors of Flame Tree Barbecue and embracing the thrill of the Kilimanjaro Safari and Gorilla Falls Trail.As we stroll through Animal Kingdom, we relish the mix of relaxation and exploration, complete with stops for grilled corn, kakigori, and a refreshing beer near the Tree of Life. The Nomad Lounge awaits with its delectable churros and Tigresses, setting the scene for a perfect blend of leisure and excitement. We then head to Epcot, where the Festival of the Arts beckons with art activities and favorite attractions like Spaceship Earth and Guardians of the Galaxy: Cosmic Rewind. Lunch at Connections Eatery and the magical Illuminous show promise to be highlights as we soak in the vibrant atmosphere.Our Disney escapade continues with nighttime wonders and a cozy visit to Scat Cats Club Lounge. A breakfast at Boma and a final viewing of "It's Tough to Be a Bug" round out our adventure. We reflect on Disney's evolving park strategies and the nostalgia of beloved attractions. Despite a forecast of rain, our spirits remain high as we enjoy a day filled with safaris, Tree of Life strolls, and a live dining review at Satouli Canteen. This episode is your ticket to experiencing Disney through adult eyes, with a delightful mix of dining, entertainment, and magical moments.Send us a textSupport the show

Steve & Izzy continue 2025 the Year of the Apocalypse, where they celebrate movies after the fall of man, as they are joined by Austin from the Austin B Media Podast to discuss 2002's "28 Days Later" starring Cillian Murphy, Brendan Gleeson, Christopher Eccleston, Naomie Harris & more!!! Remember the double VHS days? What is a Boma and how do you make one? Who is a proud sponsor of the coming apocalypse? Are you sure this isn't a sequel to the Sandra Bullock vehicle "28 Days"?!? Let's find out!!! So kick back, grab a few brews, taunt crows, and enjoy!!! This episode is proudly sponsored by Untidy Venus, your one-stop shop for incredible art & gift ideas at UntidyVenus.Etsy.com and be sure to follow her on Twitter, Facebook, Instagram & Patreon at @UntidyVenus for all of her awesomeness!!! Try it today!!! Twitter - www.twitter.com/eilfmovies Facebook - www.facebook.com/eilfmovies Etsy - www.untidyvenus.etsy.com TeePublic - www.teepublic.com/user/untidyvenus Learn more about your ad choices. Visit megaphone.fm/adchoices

Every Saturday morning Weekend Breakfast host Sara-Jayne Makwala King shares her top three picks of things to do in and around the Western Cape. If there's an event that you would like featured on SJ's Top Picks you can send an email to sarak@primedia.co.za This week: Kids’ Workshops at Meuse Farm Heritage Walking Tours down Long Street and at the V&A Waterfront Honkey Tonk Sundays at Boma on Bree See omnystudio.com/listener for privacy information.

Tina Gassman, president of Greater St. Paul BOMA talks to F&C reporter Dan Netter. Gassman discusses the concerns of building owners in the capital city and breathing life into its downtown.

Absie Pantshwa is the other half of the Edge team that created a bunch of outstanding pop-up live-fire African dining experiences, crafted the menu at Boma on Bree, and operates Mlilo out of Time Out Market, Cape Town. Partnered with chef Vusi Ndlovu, she is a driving force behind a fresh way of looking at how African cooking lives in the culinary landscape. We sat down to talk about how she runs operations for their joint projects, but ended up spinning into a bunch of engaging thoughts on the state of play in the emerging use of African flavours, techniques and ingredients in the dining scene. There's plenty of food for thought here and I thoroughly enjoyed chatting to Absie.Send us a text On Instagram @a_table_inthecorner Cover image sketched by Courtney Cara Lawson All profile portraits by Russel Wasserfall unless otherwise credited Title music: 'In Time' by Olexy via Pixabay

Welcome to Xbox On, a podcast with one host, about one console, Xbox. I am said host, Jesse DeRosa, and on today's episode we'll be talking about the latest Xbox news for the week of November 14, 2024 including, a new Bloomberg interview with Phil Spencer provides new info on Xbox's success and the long-rumored handheld console, former PlayStation exclusive Death Stranding is now on Xbox, Take-Two has sold publisher Private Division, new footage of South of Midnight has been shown, and more! New episodes every Thursday! ______________________________________________________________ Main YouTube Channel: www.youtube.com/channel/UCtW7KhvTGMgYnR6HvsY12Qg ______________________________________________________________ Twitch: www.twitch.tv/lightningmcstream ______________________________________________________________ Twitter: twitter.com/JesseDeRosa ______________________________________________________________ Time stamps: 01:08 Opening Banter 05:18 New Game Releases 06:39 Stories of mild amusement (New South of Midnight Footage) 23:54 What I've been eating (BOMA) 30:21 What I've been playing (Bloodwash, Black Ops 6) 34:22 News (Death Stranding comes to Xbox) 54:43 Small news 55:20 Listener Comments 1:05:52

In this special episode of *Remy's Roundtable*, our team brings you the latest buzz from theme parks and beyond! Though our beloved Mark was out due to sickness, the show continued with plenty of exciting updates and fun segments. Remy kicked things off with some hot election poll updates, giving listeners a glimpse into the race to the White House and who's currently leading to become the next President of the United States. From key states to surprising poll results, we've got the latest on this pivotal election cycle. Next, Remy took us through *The Latest Theme Park Updates*, where he highlighted some fresh happenings across Florida's popular attractions. From new events at Disney's Hollywood Studios to upcoming celebrations around the parks, Remy shared the scoop on everything you'll want to catch on your next visit. Mike, known as our resident Foodie King, brought the culinary magic as he guided listeners through an exploration of Boma – Flavors of Africa, the beloved restaurant at Disney's Animal Kingdom Lodge Resort. Known for its vibrant African-inspired dishes, Boma takes guests on a flavor journey like no other, and Mike shared his picks for must-try appetizers, entrées, and desserts, plus a drink that perfectly rounds out the experience. And, of course, Remy revealed the grand total for a night out at this exquisite buffet-style dining spot. Nicole wrapped up the show with her fan-favorite segment Nicole's Music Notes, where she gave us an in-depth look at the iconic Disney song “Hakuna Matata” from The Lion King. Not only did she break down the history, composition, and cultural impact of the song, but she also shared the fascinating story behind its creators, along with why “Hakuna Matata” remains a feel-good anthem for Disney fans around the world. As an added treat, we included a snippet from Matthew Broderick's interview with Conan O'Brien, where he discussed why he didn't sing the song in *The Lion King*—a fun inside look into the making of the Disney classic. Tune in for this packed episode filled with everything from election updates to theme park insights, culinary delights, and Disney magic! Whether you're a theme park junkie or a Disney music lover, there's something here for everyone. https://linktr.ee/remysroundtable Podcast Links to check out: https://dizneyverse.com/ https://nonewfriendspodcast.com/ https://www.facebook.com/Studio21BaseballPodcast/ https://open.spotify.com/show/4cU7xObhAgccO87Rd5poo3?si=ee8e7174483e47d6 (Nerd Archive Podcast) GoFund Link: https://gofund.me/d915e56f

On episode 587, Matt Davalos reviews Port Orleans French Quarter and Animal Kingdom Lodge, food spots like Boma and Epcot Food and Wine Festival. Insights on the Mickey's Not So Scary Halloween Party and a few tips from a couple of his trips to Disney World this past year. Featuring: Reach Momma and Auntie Judy for trip planning – TravelinTiaras@gmail.com Contribute to the show at www.patreon.com/geekinonwdw Show tshirts available at our Teepublic store Email me at curt.stone@GeekinOnWDW.com

Katima Mulilo staar 'n kritieke probleem in die gesig met sy verouderde rioolstelsel, wat in 1989 gebou is vir 'n bevolking van 8 000, maar nou 46 000 inwoners bedien. Die verouderde en lekkende pype het ondergrondse waterbesoedeling veroorsaak, met gebiede soos Boma en Newlook wat gereelde rioolstortings ervaar. As gevolg van verswakte pype sink afvalwater in die grond in plaas daarvan om deur die stelsel te vloei, wat gesondheidsrisiko's inhou weens die dorp se lae watertafel. Kosmos 94.1 Nuus het gepraat met die dorpsraad se uitvoerende hoof, Rafael Liswaniso, wat sê hy vra sedert 2017 die regering se steun om die krisis aan te spreek, maar niks is gedoen nie.

On this episode Ed share the new info about SeaWorld flying theater. After that Ed gives an update on area 15 in Orlando. Later Ed goes over the new TV deal for AEW. SEP 20, 2024 at the WPRK Studios in Winter Park, FL The post Ep. 437- Boma Wrestling appeared first on Orlando Tourism Report .

A huge thank you to Buub, South Africa's first 100% organic sunscreen, for more information visit https://buub.co.za/ USE CODE "BUUBBABES" and get 20% off on Winelands 10's tickets!! STAND A CHANCE TO WIN a signed beerpong table, signed by both Steven Kitshoff and Rassie Erasmus. How to enter: Follow https://www.instagram.com/buubsunscreen/ Follow https://www.instagram.com/bombsquadbeer/ Follow https://www.instagram.com/storytimepodcastjosh/ See you at the WInelands 10's alongside Steven, Aimee and a few familiar Springbok faces to watch the Buub Babes take on both, netball and beerpong! BUUB formulation has been tested on every skin type under the sun to ensure the best, chemical-free protection. So whatever your complexion, they have your back! A first ever, Steven and Aimee Kitshoff join us in studio as the power couple on route to building a Kitshoff empire with Boma on Bree, Bomb Squad Lager, their many, many events and appearances around South Africa, their commitment to DHL and the Stormers, and finally, their expansion into the UK with South Africa's most proud and tasty lager! We chat how they met, handling global attention as back to back World Cup Rugby Winners, meeting Faf de Klerk, partying with the Stormers and the incredible commitment of the family that is, the Springboks. For more information, visit https://bombsquad.online/ Don't forget to like and subscribe FOR MORE INFO Buub Sunscreen - https://www.instagram.com/buubsunscreen/ Steven Kitshoff - https://www.instagram.com/steven_kitshoff/ Aimee Kitshoff - https://www.instagram.com/aimee_kitshoff/ Bomb Squad Lager - https://www.instagram.com/bombsquadbeer/ Joshua Eady - https://www.instagram.com/justblamejosh/ Storytime Podcast - https://www.instagram.com/storytimepodcastjosh/ WATCH https://youtu.be/ybx7KsSxLT0

Free giveaway https://www.paulieskaja.com/opt-in1   In this captivating episode of Live Into Your Best Life, I, Paulie Skaja, have the pleasure of interviewing Magic Brad, a renowned magician and sales expert, who has successfully blended his love for close-up illusions and comedy with effective business strategies. From his early fascination with magic as a child to performing at churches, hospitals, and eventually for major corporate clients like Marriott Hotels and 3M, Brad takes us on an inspiring journey of resilience and innovation.   Throughout our conversation, Brad opens up about the pivotal moments in his career, including producing the Great Minnesota Event Show and working alongside his business partner Rick to organize expos and home shows. Brad's journey hasn't been without challenges—he shares his experiences of overcoming bankruptcy, homelessness, a stroke, and the pandemic that brought the events industry to a halt. Despite these setbacks, Brad adapted and rebounded by diving into digital marketing and creating new opportunities for himself and his clients.   Brad emphasizes the importance of forward-thinking strategies, breaking down large visions into manageable, actionable steps using analogies to make complex projects easier to execute. He also highlights the power of niching down and targeting ideal clients by joining specialized associations like BOMA and ASAE. By understanding his audience and focusing on specific markets, Brad became the go-to expert in his field, proving the effectiveness of a focused approach.   As we wrap up the episode, Brad offers invaluable insights on leveraging technology for automation and delegation, freeing up time to build meaningful relationships with clients. His story is a testament to persistence, adaptability, and the importance of keeping a positive mindset. To connect with Brad:  LinkedIn: linkedin.com/in/magicbrad Web: MagicBrad.com   Key Takeaways: Break down big goals into manageable steps. Network strategically with key associations. Niche down to become an expert in your field. Overcome setbacks with resilience. Use automation to boost productivity. Subscribe, leave a review, and share this episode to inspire others to live into their best life!  

On episode 584, you get a double dose of Disney magic with our good pals Glen Kessler and Rebecca Rudin! First, Glen and Harrison dive into adventures at Kidani, Boma, and a Wild Africa Trek on their father/son trip. Then, Rebecca, Glen's mom, and the rest of the crew join in for a culinary journey from Raglan Road to Takumi Tei. Plus, get Glen and Rebecca's top tips for the drone show and Lightning Lane passes! Featuring: Reach Momma and Auntie Judy for trip planning – TravelinTiaras@gmail.com Contribute to the show at www.patreon.com/geekinonwdw Show tshirts available at our Teepublic store Email me at curt.stone@GeekinOnWDW.com

Episode 180 it is then so let's get cracking. Or crackling, which was the atmosphere in late 1850 as Xhosaland and British Kaffraria was seized by the exploits of prophet Mlanjeni. He'd combined world views, his messianic emergence shook the land as far away as Cape Town. AS a sickly young man from near King Williams Town, he'd disappeared to work in the Cape Colony and returned in 1850 claiming to have been living under the sea. Not quite Sponge Bob because unlike that loveable kids character, Mlanjeni said it was during his stint underwater that God spoke to him. You'll remember how I explained that Mlanjeni took to sitting in pools in nearby rivers and streams, the water lapping against his face as he sat deep in thought. At first he seemed to be in sync with the missionaries and the Governor Harry Smith, saying the amaXhosa should abandon witchcraft, avoid raiding settler cattle and so on. However his message morphed as I explained, and very soon he was exorting his numerous adherents to stop burning the wood of gum trees — an invasive species — he believed the exotic tree symbolised white influence. Word spread, and some began saying that Mlanjeni had miraculous powers, he could light his pipe from the sun, he wore his face on one cheek so he could spot witches and paralyse them. When the missionaries heard that he was also saying that he could heal the sick, give sight to the blind, to make the mute speak and the lame walk. He refused to accept gifts, and the chiefs and commoners streamed to his home. Then the British tried to arrest him and he disappeared, thus growing more power in the eyes of his adherents. We need to focus on these religious matters, so a quick return to the men in black. The missionaries were in a spot. Robert Niven of the United Presbyterian Church was holding forth in Keiskamma hoekDown the road was a man who you could say was taking his position as missionary into the missionary position. George Brown lived on the plains below the Amatolas, not far from the Thyumi valley, arriving in early 1849. At first people noted how he had a kind and manly appearance. But very soon, however, the manly appearance took on a reverential lust — a scandalous man as you'll hear. But first, he seduced the young Janet Chalmers, William Chalmers daughter, and John Forbes Cumming hated him so much for this act, that the two men spoke only through letters. Brown was forced to marry Janet Chalmers in August 1850, five months pregnant.Harry Smith by now was on the frontier, and Sandile's mother Sutu who was Ngqika's widow, went to the Thyumi mission station on 9th December to speak with him. She asked why the English wanted another war. Smith said that the chiefs were not paying fines and she warned “You have taken away all my power, you take away the power of the chiefs, and then you find fault with us for not keeping the people in order…” Christmas Eve was the date selecte by Harry Smith as the day his intimidatory force as Noel Mostert Called it, up the Boma Pass into the Amatola mountains. It was exactly sixteen years to the day of the outbreak of the Frontier War of 1834.

Collaboration: Enhancing Efficiency Through Industry Partnerships Welcome to this week's edition of Scaling UP! H2O, where we explore the critical role of water treatment in optimizing industrial processes. Today, we are privileged to hear from two distinguished guests: Tony Mormino and Justin Lynch. Tony is Technical Sales and Marketing Director for Insight Partners and host of the The Engineers HVAC Podcast specializing in education, while Justin focuses on cooling tower Reconstruction Specialists. Together, they share invaluable insights into collaborative strategies that ensure the best and most cost-effective solutions for cooling towers and closed loop systems. Their discussion focused on the importance of collaboration, cost efficiency, and proactive maintenance in the field of water treatment. Tony and Justin's insights provide a roadmap for water treaters to enhance client outcomes and operational efficiency through strategic partnerships and informed decision-making. What Are the Cost and Efficiency Benefits of Proper Water Treatment? Cost efficiency emerges as a significant topic. Tony Mormino underscores the financial benefits of proper water treatment, citing examples where a modest investment in water treatment can yield substantial savings. "According to the Department of Energy, 40% of a commercial building's energy consumption goes to HVAC systems," explains Tony. "Simply improving water quality can lead to 5-10% savings in energy costs. It's a quick win for green building initiatives." How Do You Prevent Vibrations in Cooling Towers? Bad vibrations in cooling towers can be a significant issue if not addressed early. Justin Lynch highlights the importance of monitoring biological buildup and evaporative salts on the fans. "It's very difficult to do that if you don't catch it early. Let's say we go to a facility with an old tower and an old fan—there's going to be a little bit of biology on top, which is not a big deal. You can brush that off, do a light pressure washing, and it's not going to hurt it," explains Justin. However, the real issue arises when scale develops unevenly on each blade. "At that point, the fan may look horrible, but the tower still operates without vibration. If you clean five out of six blades well but can't get the scale off one blade, you just created a vibration, leading to other issues in the tower." Justin advises that while chemical treatments are effective, they should be done with caution and under professional guidance to avoid exacerbating the problem. This proactive maintenance is less of a concern for newer towers that have had chemical treatment from the start. How Does Air in Closed Loop Chilled Water Systems Affect Performance? Tony Mormino highlights a critical yet often overlooked issue in water treatment: Air in closed loop chilled water systems. This issue not only leads to rust and oxidation but also significantly impacts the system efficiency and longevity. Studies and practical examples underscore the importance of air removal systems: Removing air from the chill water system can result in substantial benefits: Increase in Tonnage Output: Youngstown State University reported a 16% increase in tonnage output, equivalent to 400 additional tons. Improvement in Delta T: From 8.5-10°, enhancing heat transfer efficiency across chiller barrels. Enhanced Building Discharge Air Temperatures: Temperatures improved from 65° to 55°, optimizing HVAC system performance. Reduction in Pump Energy Consumption: A notable 37% reduction in annual KWH requirements due to cleaner water and improved system operation. Moreover, practical cases like at Waukesha Memorial Hospital in Wisconsin showed a 22% reduction in Variable Frequency Drive (VFD) speed, leading to an 85% decrease in corrosion preventative chemical usage. These examples illustrate the direct correlation between air removal and energy savings, reinforcing the significant impact of proper water treatment practices on operational efficiency and cost savings in commercial HVAC systems. How Important is Passivation for Equipment Longevity and Performance? Justin Lynch highlights the critical role of passivation in maintaining equipment longevity, particularly in galvanized towers. "Passivation is essential to prevent corrosion and ensure optimal performance," Justin explains. "For instance, following Marley's guidelines for pH and calcium hardness during passivation can extend the life of galvanized towers significantly." Conclusion In the fast-evolving landscape of industrial water treatment and HVAC systems, collaboration and continuous learning are paramount. Justin Lynch's closing thoughts encapsulate this spirit perfectly: “Don't be afraid to call, don't be afraid to collaborate. You are the expert in your field; I'm supposed to be the expert in mine. There's too much going on in this industry. It's growing too fast for everyone to really understand everything. So, if you don't know, ask questions and learn together. When you can do that together, you build a good network, and customers trust you and respect you after that.” Embracing this collaborative approach not only enhances our expertise but also ensures that we provide the best possible solutions for our customers, fostering trust and respect in our professional relationships. Timestamps 01:00 - Free Legionella Awareness Month and Industrial Water Week resources can be found on our website 09:10 - Interview with Tony Mormino and Justin Lynch 50:00 - Closing thoughts about the power of collaboration with Trace 54:30 - Upcoming Events for Water Treatment Professionals 56:42 - Evaporative Salts, Scale, and using the correct language with clients 59:00 - Drop by Drop With James McDonald Quotes “Downtime is lost profit.” - Justin Lynch “Water quality is key. It's crucial for maintaining a tower's expected lifespan, and without it, customers could face significant costs." - Justin Lynch “I consider the water the lifeblood of the system because it touches every component.” - Tony Mormino “In our industry, collaboration is essential. As experts in our respective fields, we have a responsibility to work together, share knowledge, and tackle challenges as a unified front." - shares Justin Lynch “The best way to market is to give away good, free content.” - Tony Mormino Connect with Justin Lynch Phone: 919.602.1658 Email: jlynch@insightusa.com LinkedIn: linkedin.com/in/justin-lynch-0355458b Read or Download Tony and Justin's Press Release HERE Connect with Tony Mormino Phone: 828.712.4769 Email: tmormino@insightusa.com Website: www.insightusa.com LinkedIn: linkedin.com/in/tony-mormino linkedin.com/company/insightusa YouTube: @InsightPartnersHVACTV Podcast: The Engineers HVAC Podcast Resources Mentioned All Cooling Tower resources can be found on our Free Industrial Water Week Page HERE in the Cooling Wednesday Tab All Legionella Resources can be found on our Free Legionella Page HERE Check out our Scaling UP! H2O Events Calendar where we've listed every event Water Treaters should be aware of by clicking HERE. Water Cake Recipe

Manuel Moreno, president of PJMB Commercial, Inc., will soon take the reins as BOMA International's 2024-2025 chair. Hear his career advice for commercial real estate professionals, plus what you can expect from the 2024 BOMA International Conference & Expo.

383 - In this episode, hosts Rob and Kerri provide an in-depth guide to Disney's Animal Kingdom Lodge resort. They share their firsthand experiences staying at this incredible African-themed resort, with insights on: Waking up to breathtaking savanna views of giraffes, zebras and other exotic animals right outside your balcony or window The authentic African theming and attention to detail throughout the resort Educational opportunities to learn about animal conservation Dining at incredible restaurants like Boma, Jiko and the famed Sanaa bread service Exploring the resort's pools like the iconic Uzima Pool with Samawati Springs Easy access to Disney's Animal Kingdom theme park Interacting with expert cast members from Africa Rob and Kerri also discuss the new Tiana's Bayou Adventure ride at Magic Kingdom and share some exciting hints about their next Disney Cruise on the Wish. Whether you're planning a dream Disney vacation or just looking for tips, this is an episode you won't want to miss! Download the free Stress-Free Planning Worksheet at HowToDoDisney.com to help plan your next magical Disney vacation. Don't forget to subscribe to the Disney Travel Secrets YouTube channel to catch this episode on video. And get ready to share your thoughts and reactions using #DisneyTravelSecrets. LYFT REFERRAL CODE: You get 50% off 2 Lyft rides in Orlando if you sign up using our referral link. Terms apply, excludes Wait & Save. Ready to plan your 2024 and 2025 Disney Destinations Vacation? CLICK HERE Join us on our Facebook Page _________________________ Let us help you plan your next Disney vacation. Our services are free and you get us and our insider tips customized to YOUR family to help you have the most magical vacation. CONNECT WITH US HERE Want to save on gas? Upside App Referral Code - XD3VD Make sure you are receiving our weekly email. Just go to DisneyTravelSecrets.com and complete the form.  Have a topic you would like covered on the show? Please reach out to us on social media and let us know. 

Disney's Animal Kingdom Lodge offers Walt Disney World guests the enchantment of an African reserve lodge in Central Florida, with sweeping savanna views where over 30 species of African animals roam, table-service African cuisine (Sanaa, Boma, and Jiko) and quick-service offerings (The Mara), shopping, and some of the best pools on Disney property. Jambo House and Kidani Village also include Disney Vacation Club studios and villas, as well as one of the largest collections of African art outside of Africa.   In this episode, we discuss everything you need to know about staying at this deluxe-level resort, share reasons why you might want to stay here, and offer suggestions about how to decide between Jambo House and Kidani Village.   To plan a trip, be sure to work with KMV Travel.   Which Disney resort should we discuss next? Tag me and join the conversation below. YouTube: https://www.youtube.com/@imaginationskyway Instagram: www.instagram.com/imaginationskyway Facebook Group (ImagiNation): https://www.facebook.com/groups/imaginationskyway Facebook: www.facebook.com/imaginationskyway TikTok: www.tiktok.com/@imaginationskyway  Threads: https://www.threads.net/@imaginationskyway Twitter: www.twitter.com/skywaypodcast Email: matt@imagineerpodcast.com  Subscribe to Imagination Skyway News. Get Bonus Content If you want to take your love of Imagination Skyway to the next level and help support the show, definitely consider joining us on Patreon for virtual events, bonus content and episodes, exclusive access to our private Passholder communities and more.  How to Support the Show Share the podcast with your friends Rate and review on iTunes - https://itunes.apple.com/us/podcast/the-imagineerpodcasts-podcast/id1244558092 Join our Patreon Group - https://www.patreon.com/imagineerpodcast Purchase merchandise - https://www.teepublic.com/stores/imagineer-podcast?ref_id=8929 Enjoy the show!

In this episode, I speak with Perry Boyle. Perry shares with me his multiple lives and how he reinvented himself as his life goals evolved and as his values broadened. We talk about his initial career in investment banking and private equity, his pivot to equity research, and then his decision to reframe his purpose towards scaling a successful NGO tackling acute poverty in Africa. Perry shares his outrage at the threats to the liberal rule based order by autocracy, and how he decided to put all his life experience to use in setting up an investment bank focusing on developing Ukraine's defence industry. This is a broad ranging and personal conversation about living one's beliefs, reinvention, leaning in and letting go.Recorded on 17 May 2024.Instagram: @at.the.coalfaceConnect with Perry on LinkedIn at linkedin.com/in/perryboyle. BOMA's website is  boma.ngo.And don't forget to subscribe to At the Coalface for new episodes every two weeks.Help us produce more episodes by becoming a supporter. Your subscription will go towards paying our hosting and production costs. Supporters get the opportunity to join behind the scenes during recordings, updates about the podcast, and my deep gratitude!Support the Show.

Send us a Text Message.Part 1 - Lil takes the reins and lays out her ultimate Disney vacation plan. With a $5,000 budget, she crafts a magical itinerary filled with enchanting experiences, delicious dining, and unforgettable memories. Tune in to see how Lillian balances the magic and the budget, and stay tuned for Part Two where Becky presents her plan. Who will come closer to the budget without going over?1 Base Tix 4 days - 627.691 BT 4d + MM - 812.69Room only $2,185Total $3,625.38$140 for ILL$919.50 food (including tax/tips)$242 for extras$46 Resort MugsGrand Total $4,972.88Day 1 - DS/Resort - Stop @ Ft Wilderness by 8am for Horseback Riding! ($58.50 PP = $117) hotel @ 10:30am, check in & leave bags w/bell svcs - room prob won't be ready - explore resort, take bus to DS. Walk around, lunch @ EET $40 (Bread Service $19.95, Boozy Slushy $12, Mango Lassi $5.95), boat to PO, explore, carriage ride ($65), beignets @ Scat Cat's (3 Mickey Shaped for Nero $7.79, Baton Rouge w/RumChata for Lil $12.49) $21.50. boat to DS, bus to Coronado. Get luggage (give bell srvs $5), relax/enjoy the room. Go to Dahlia Lounge 8pm - watch fireworks, $61 (Shrimp Pil Pil $16.50, Calamari $16, Espumoso Punch $16). bed after that.Day 2 - MK Tron ILL $40, Split a Cinnamon roll $6.99 from Gastons & 2 LeFou's Brew $6.79 ($22 total), ride whatever we can (Peter Pan, Pirates, Haunted, Winnie, Small World, Carousel of Progress, Ppl Mover, Tiki Room, Thunder Mtn, Tiana's), lunch @ Skipper Canteen $74 (Jungle Bird cocktail $15, Hardy Har Char Siu Pork $29, Cachacas $15), Try for Tron ILL for night time. Watch fireworks, late dinner at Cinderella's Royal Table ($84 pp, The Castle Flight $15) $230, hang out in the shops until crowds die down, bus to Coronado. Day 3 - AK FoP ILL $30 Start w/Safari and work through other rides (Navi if the wait isn't too long, Dino, Everest, Nemo and Fest of the Lion King). Lunch at Nomad Lounge (join walk-up list early!) $60 (Bread service $18, Pork Belly $15, Night Monkey Cocktail $15), train to conservation station to draw and pet some animals, then head out - search for DiVine on our way out! Bus to Jambo House, relax and explore the resort until we're ready for dinner at Boma! $140 then go back to Coronado and possibly see fireworks from roomDay 4 - Rest - sleep in, relax by pool, Mosaic activity $50 ($25 each), bus to MK around 3pm and head to Poly to see if we can get into Trader Sam's! (Kalua Pork Tacos $10.50, Dumplings $10, Skipper Sipper $6, Uh-Oa $26.50) $59, monorail crawl to walk around the resorts, then back to Poly to watch fireworks and elec water pageant from the beach - dinner @ Capt Cook's $25 (Spicy Korean Chic Bowl $12.99, Thai Coconut Meatballs $10.49), monorail to MK and bus to CoronadoDay 5 - HS Rise ILL $40 Ride whatever we can, Ronto Wraps for lunch $25 for 2, Cold Brew Black Cat $6, Stop into free Chase card holder photo spot, Dinner at Brown Derby Lounge $55 (Escargot $19, Cobb Salad $25), watch Fantasmic then back to CoronadoDay 6 - EPCOT Cos Re ILL $30, check out of hotel before heading to park, leave bag at bell services. Ride whatever rides we can (especially Soarin), Stop into free Chase card holder photo spot, graze at Food & Wine Fest booths all day ($80 allowance), LaCava Avocado $21, explore world showcase, watch night time show and head home (after getting bag from hotel and tipping bell serv $5).Instagram @MagicalSisterlyTouristsemail magicalstpod@gmail.comGet 15% off at Magic Candle Company with code MSTPodhttps://magiccandlecompany.com/mstpodcast

Send us a Text Message.This episode is slightly different from the rest, as we did not add a news segment at the beginning because... WE'RE IN DISNEY!!!! Yaaay!!!! Follow along on instagram for some highlights from our trip and sty tuned for our full trip report once we return! Instagram @MagicalSisterlyTouristsemail magicalstpod@gmail.comGet 15% off at Magic Candle Company with code MSTPodhttps://magiccandlecompany.com/mstpodcastGet up to $400 Statement Credit with a new Chase Disney Visahttps://www.referyourchasecard.com/200m/5PM5SUCCIL

Today, Anna Newmeyer shares the story of her ceremony at EPCOT's Place de Remy, reception at Sea Breeze Point, and dessert party at Vikings Landing in Norway. You'll hear how she made smart budget tradeoffs like keeping the guest list small, having the first dances at the ceremony venue (to eliminate music at the reception), and making all the bouquets from Trader Joe's flowers so she could afford splurges like an appearance by Mickey and Minnie and a ride mix-in on Remy's Ratatouille Adventure! Anna also discusses how she turned multiple reservations at the Grand Floridian Cafe and Boma into an inexpensive rehearsal dinner and farewell brunch! Click here to see all the photos!

Hello everyone and welcome to the WDW Mainstreet podcast. Pull up your stool with John and Doug as they discuss all of the news from Walt Disney World and their worlds. John fills us in from his week on the bus and all the knuckleheads he has to deal with. Doug gives us and update on his boy Pressley. New attraction and lands coming all over Walt Disney World. The guys cover a couple of buffets Boma and Tusker house, what where their thoughts? Test Track update, Star Tours update plus so much more. So grab yourself a cold one, sit back, relax and enjoy the show!

Today I'm sharing all about the great amenities, restaurants, and perks of staying at Animal Kingdom Lodge. While this resort can get a bad rap for how far away it is, it makes up for it in beautiful design, great restaurants like Sanaa and Boma, and views of giraffes out your balcony. Today I'm sharing all this resort has to offer, the building that I prefer to stay in, how to get around, and a sample quote for a family of 4. We also talk about all the different room types and DVC suites you can choose from at this resort. Listen in, and subscribe to follow along with this series!What is club level?Ep 157 - Club Level at Walt Disney WorldCheck out a past episode comparing the deluxe resorts.Ep 28 - Which Disney Deluxe Resort is right for me?I hope you enjoyed today's show. I'd love to connect with you over on Instagram @mountains_of_magic or Facebook at Fantastical Vacations by Daniele. If you would like help in planning an upcoming Disney or Universal vacation, email me at danielerobbins@fantasticalvacations.com or fill out a quote form to get started planning the magic Get A QuoteMusic from Uppbeat (free for Creators!):https://uppbeat.io/t/andrey-rossi/bring-the-funLicense code: E9BZCTS1O3JRPERX 

We will be recording a preview of the AI Engineer World's Fair soon with swyx and Ben Dunphy, send any questions about Speaker CFPs and Sponsor Guides you have!Alessio is now hiring engineers for a new startup he is incubating at Decibel: Ideal candidate is an ex-technical co-founder type (can MVP products end to end, comfortable with ambiguous prod requirements, etc). Reach out to him for more!Thanks for all the love on the Four Wars episode! We're excited to develop this new “swyx & Alessio rapid-fire thru a bunch of things” format with you, and feedback is welcome. Jan 2024 RecapThe first half of this monthly audio recap pod goes over our highlights from the Jan Recap, which is mainly focused on notable research trends we saw in Jan 2024:Feb 2024 RecapThe second half catches you up on everything that was topical in Feb, including:* OpenAI Sora - does it have a world model? Yann LeCun vs Jim Fan * Google Gemini Pro 1.5 - 1m Long Context, Video Understanding* Groq offering Mixtral at 500 tok/s at $0.27 per million toks (swyx vs dylan math)* The {Gemini | Meta | Copilot} Alignment Crisis (Sydney is back!)* Grimes' poetic take: Art for no one, by no one* F*** you, show me the promptLatent Space AnniversaryPlease also read Alessio's longform reflections on One Year of Latent Space!We launched the podcast 1 year ago with Logan from OpenAI:and also held an incredible demo day that got covered in The Information:Over 750k downloads later, having established ourselves as the top AI Engineering podcast, reaching #10 in the US Tech podcast charts, and crossing 1 million unique readers on Substack, for our first anniversary we held Latent Space Final Frontiers, where 10 handpicked teams, including Lindy.ai and Julius.ai, competed for prizes judged by technical AI leaders from (former guest!) LlamaIndex, Replit, GitHub, AMD, Meta, and Lemurian Labs.The winners were Pixee and RWKV (that's Eugene from our pod!):And finally, your cohosts got cake!We also captured spot interviews with 4 listeners who kindly shared their experience of Latent Space, everywhere from Hungary to Australia to China:* Balázs Némethi* Sylvia Tong* RJ Honicky* Jan ZhengOur birthday wishes for the super loyal fans reading this - tag @latentspacepod on a Tweet or comment on a @LatentSpaceTV video telling us what you liked or learned from a pod that stays with you to this day, and share us with a friend!As always, feedback is welcome. Timestamps* [00:03:02] Top Five LLM Directions* [00:03:33] Direction 1: Long Inference (Planning, Search, AlphaGeometry, Flow Engineering)* [00:11:42] Direction 2: Synthetic Data (WRAP, SPIN)* [00:17:20] Wildcard: Multi-Epoch Training (OLMo, Datablations)* [00:19:43] Direction 3: Alt. Architectures (Mamba, RWKV, RingAttention, Diffusion Transformers)* [00:23:33] Wildcards: Text Diffusion, RALM/Retro* [00:25:00] Direction 4: Mixture of Experts (DeepSeekMoE, Samba-1)* [00:28:26] Wildcard: Model Merging (mergekit)* [00:29:51] Direction 5: Online LLMs (Gemini Pro, Exa)* [00:33:18] OpenAI Sora and why everyone underestimated videogen* [00:36:18] Does Sora have a World Model? Yann LeCun vs Jim Fan* [00:42:33] Groq Math* [00:47:37] Analyzing Gemini's 1m Context, Reddit deal, Imagegen politics, Gemma via the Four Wars* [00:55:42] The Alignment Crisis - Gemini, Meta, Sydney is back at Copilot, Grimes' take* [00:58:39] F*** you, show me the prompt* [01:02:43] Send us your suggestions pls* [01:04:50] Latent Space Anniversary* [01:04:50] Lindy.ai - Agent Platform* [01:06:40] RWKV - Beyond Transformers* [01:15:00] Pixee - Automated Security* [01:19:30] Julius AI - Competing with Code Interpreter* [01:25:03] Latent Space Listeners* [01:25:03] Listener 1 - Balázs Némethi (Hungary, Latent Space Paper Club* [01:27:47] Listener 2 - Sylvia Tong (Sora/Jim Fan/EntreConnect)* [01:31:23] Listener 3 - RJ (Developers building Community & Content)* [01:39:25] Listener 4 - Jan Zheng (Australia, AI UX)Transcript[00:00:00] AI Charlie: Welcome to the Latent Space podcast, weekend edition. This is Charlie, your new AI co host. Happy weekend. As an AI language model, I work the same every day of the week, although I might get lazier towards the end of the year. Just like you. Last month, we released our first monthly recap pod, where Swyx and Alessio gave quick takes on the themes of the month, and we were blown away by your positive response.[00:00:33] AI Charlie: We're delighted to continue our new monthly news recap series for AI engineers. Please feel free to submit questions by joining the Latent Space Discord, or just hit reply when you get the emails from Substack. This month, we're covering the top research directions that offer progress for text LLMs, and then touching on the big Valentine's Day gifts we got from Google, OpenAI, and Meta.[00:00:55] AI Charlie: Watch out and take care.[00:00:57] Alessio: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, partner and CTO of Residence at Decibel Partners, and we're back with a monthly recap with my co host[00:01:06] swyx: Swyx. The reception was very positive for the first one, I think people have requested this and no surprise that I think they want to hear us more applying on issues and maybe drop some alpha along the way I'm not sure how much alpha we have to drop, this month in February was a very, very heavy month, we also did not do one specifically for January, so I think we're just going to do a two in one, because we're recording this on the first of March.[00:01:29] Alessio: Yeah, let's get to it. I think the last one we did, the four wars of AI, was the main kind of mental framework for people. I think in the January one, we had the five worthwhile directions for state of the art LLMs. Four, five,[00:01:42] swyx: and now we have to do six, right? Yeah.[00:01:46] Alessio: So maybe we just want to run through those, and then do the usual news recap, and we can do[00:01:52] swyx: one each.[00:01:53] swyx: So the context to this stuff. is one, I noticed that just the test of time concept from NeurIPS and just in general as a life philosophy I think is a really good idea. Especially in AI, there's news every single day, and after a while you're just like, okay, like, everyone's excited about this thing yesterday, and then now nobody's talking about it.[00:02:13] swyx: So, yeah. It's more important, or better use of time, to spend things, spend time on things that will stand the test of time. And I think for people to have a framework for understanding what will stand the test of time, they should have something like the four wars. Like, what is the themes that keep coming back because they are limited resources that everybody's fighting over.[00:02:31] swyx: Whereas this one, I think that the focus for the five directions is just on research that seems more proMECEng than others, because there's all sorts of papers published every single day, and there's no organization. Telling you, like, this one's more important than the other one apart from, you know, Hacker News votes and Twitter likes and whatever.[00:02:51] swyx: And obviously you want to get in a little bit earlier than Something where, you know, the test of time is counted by sort of reference citations.[00:02:59] The Five Research Directions[00:02:59] Alessio: Yeah, let's do it. We got five. Long inference.[00:03:02] swyx: Let's start there. Yeah, yeah. So, just to recap at the top, the five trends that I picked, and obviously if you have some that I did not cover, please suggest something.[00:03:13] swyx: The five are long inference, synthetic data, alternative architectures, mixture of experts, and online LLMs. And something that I think might be a bit controversial is this is a sorted list in the sense that I am not the guy saying that Mamba is like the future and, and so maybe that's controversial.[00:03:31] Direction 1: Long Inference (Planning, Search, AlphaGeometry, Flow Engineering)[00:03:31] swyx: But anyway, so long inference is a thesis I pushed before on the newsletter and on in discussing The thesis that, you know, Code Interpreter is GPT 4. 5. That was the title of the post. And it's one of many ways in which we can do long inference. You know, long inference also includes chain of thought, like, please think step by step.[00:03:52] swyx: But it also includes flow engineering, which is what Itamar from Codium coined, I think in January, where, basically, instead of instead of stuffing everything in a prompt, You do like sort of multi turn iterative feedback and chaining of things. In a way, this is a rebranding of what a chain is, what a lang chain is supposed to be.[00:04:15] swyx: I do think that maybe SGLang from ElemSys is a better name. Probably the neatest way of flow engineering I've seen yet, in the sense that everything is a one liner, it's very, very clean code. I highly recommend people look at that. I'm surprised it hasn't caught on more, but I think it will. It's weird that something like a DSPy is more hyped than a Shilang.[00:04:36] swyx: Because it, you know, it maybe obscures the code a little bit more. But both of these are, you know, really good sort of chain y and long inference type approaches. But basically, the reason that the basic fundamental insight is that the only, like, there are only a few dimensions we can scale LLMs. So, let's say in like 2020, no, let's say in like 2018, 2017, 18, 19, 20, we were realizing that we could scale the number of parameters.[00:05:03] swyx: 20, we were And we scaled that up to 175 billion parameters for GPT 3. And we did some work on scaling laws, which we also talked about in our talk. So the datasets 101 episode where we're like, okay, like we, we think like the right number is 300 billion tokens to, to train 175 billion parameters and then DeepMind came along and trained Gopher and Chinchilla and said that, no, no, like, you know, I think we think the optimal.[00:05:28] swyx: compute optimal ratio is 20 tokens per parameter. And now, of course, with LLAMA and the sort of super LLAMA scaling laws, we have 200 times and often 2, 000 times tokens to parameters. So now, instead of scaling parameters, we're scaling data. And fine, we can keep scaling data. But what else can we scale?[00:05:52] swyx: And I think understanding the ability to scale things is crucial to understanding what to pour money and time and effort into because there's a limit to how much you can scale some things. And I think people don't think about ceilings of things. And so the remaining ceiling of inference is like, okay, like, we have scaled compute, we have scaled data, we have scaled parameters, like, model size, let's just say.[00:06:20] swyx: Like, what else is left? Like, what's the low hanging fruit? And it, and it's, like, blindingly obvious that the remaining low hanging fruit is inference time. So, like, we have scaled training time. We can probably scale more, those things more, but, like, not 10x, not 100x, not 1000x. Like, right now, maybe, like, a good run of a large model is three months.[00:06:40] swyx: We can scale that to three years. But like, can we scale that to 30 years? No, right? Like, it starts to get ridiculous. So it's just the orders of magnitude of scaling. It's just, we're just like running out there. But in terms of the amount of time that we spend inferencing, like everything takes, you know, a few milliseconds, a few hundred milliseconds, depending on what how you're taking token by token, or, you know, entire phrase.[00:07:04] swyx: But We can scale that to hours, days, months of inference and see what we get. And I think that's really proMECEng.[00:07:11] Alessio: Yeah, we'll have Mike from Broadway back on the podcast. But I tried their product and their reports take about 10 minutes to generate instead of like just in real time. I think to me the most interesting thing about long inference is like, You're shifting the cost to the customer depending on how much they care about the end result.[00:07:31] Alessio: If you think about prompt engineering, it's like the first part, right? You can either do a simple prompt and get a simple answer or do a complicated prompt and get a better answer. It's up to you to decide how to do it. Now it's like, hey, instead of like, yeah, training this for three years, I'll still train it for three months and then I'll tell you, you know, I'll teach you how to like make it run for 10 minutes to get a better result.[00:07:52] Alessio: So you're kind of like parallelizing like the improvement of the LLM. Oh yeah, you can even[00:07:57] swyx: parallelize that, yeah, too.[00:07:58] Alessio: So, and I think, you know, for me, especially the work that I do, it's less about, you know, State of the art and the absolute, you know, it's more about state of the art for my application, for my use case.[00:08:09] Alessio: And I think we're getting to the point where like most companies and customers don't really care about state of the art anymore. It's like, I can get this to do a good enough job. You know, I just need to get better. Like, how do I do long inference? You know, like people are not really doing a lot of work in that space, so yeah, excited to see more.[00:08:28] swyx: So then the last point I'll mention here is something I also mentioned as paper. So all these directions are kind of guided by what happened in January. That was my way of doing a January recap. Which means that if there was nothing significant in that month, I also didn't mention it. Which is which I came to regret come February 15th, but in January also, you know, there was also the alpha geometry paper, which I kind of put in this sort of long inference bucket, because it solves like, you know, more than 100 step math olympiad geometry problems at a human gold medalist level and that also involves planning, right?[00:08:59] swyx: So like, if you want to scale inference, you can't scale it blindly, because just, Autoregressive token by token generation is only going to get you so far. You need good planning. And I think probably, yeah, what Mike from BrightWave is now doing and what everyone is doing, including maybe what we think QSTAR might be, is some form of search and planning.[00:09:17] swyx: And it makes sense. Like, you want to spend your inference time wisely. How do you[00:09:22] Alessio: think about plans that work and getting them shared? You know, like, I feel like if you're planning a task, somebody has got in and the models are stochastic. So everybody gets initially different results. Somebody is going to end up generating the best plan to do something, but there's no easy way to like store these plans and then reuse them for most people.[00:09:44] Alessio: You know, like, I'm curious if there's going to be. Some paper or like some work there on like making it better because, yeah, we don't[00:09:52] swyx: really have This is your your pet topic of NPM for[00:09:54] Alessio: Yeah, yeah, NPM, exactly. NPM for, you need NPM for anything, man. You need NPM for skills. You need NPM for planning. Yeah, yeah.[00:10:02] Alessio: You know I think, I mean, obviously the Voyager paper is like the most basic example where like, now their artifact is like the best planning to do a diamond pickaxe in Minecraft. And everybody can just use that. They don't need to come up with it again. Yeah. But there's nothing like that for actually useful[00:10:18] swyx: tasks.[00:10:19] swyx: For plans, I believe it for skills. I like that. Basically, that just means a bunch of integration tooling. You know, GPT built me integrations to all these things. And, you know, I just came from an integrations heavy business and I could definitely, I definitely propose some version of that. And it's just, you know, hard to execute or expensive to execute.[00:10:38] swyx: But for planning, I do think that everyone lives in slightly different worlds. They have slightly different needs. And they definitely want some, you know, And I think that that will probably be the main hurdle for any, any sort of library or package manager for planning. But there should be a meta plan of how to plan.[00:10:57] swyx: And maybe you can adopt that. And I think a lot of people when they have sort of these meta prompting strategies of like, I'm not prescribing you the prompt. I'm just saying that here are the like, Fill in the lines or like the mad libs of how to prompts. First you have the roleplay, then you have the intention, then you have like do something, then you have the don't something and then you have the my grandmother is dying, please do this.[00:11:19] swyx: So the meta plan you could, you could take off the shelf and test a bunch of them at once. I like that. That was the initial, maybe, promise of the, the prompting libraries. You know, both 9chain and Llama Index have, like, hubs that you can sort of pull off the shelf. I don't think they're very successful because people like to write their own.[00:11:36] swyx: Yeah,[00:11:37] Direction 2: Synthetic Data (WRAP, SPIN)[00:11:37] Alessio: yeah, yeah. Yeah, that's a good segue into the next one, which is synthetic[00:11:41] swyx: data. Synthetic data is so hot. Yeah, and, you know, the way, you know, I think I, I feel like I should do one of these memes where it's like, Oh, like I used to call it, you know, R L A I F, and now I call it synthetic data, and then people are interested.[00:11:54] swyx: But there's gotta be older versions of what synthetic data really is because I'm sure, you know if you've been in this field long enough, There's just different buzzwords that the industry condenses on. Anyway, the insight that I think is relatively new that why people are excited about it now and why it's proMECEng now is that we have evidence that shows that LLMs can generate data to improve themselves with no teacher LLM.[00:12:22] swyx: For all of 2023, when people say synthetic data, they really kind of mean generate a whole bunch of data from GPT 4 and then train an open source model on it. Hello to our friends at News Research. That's what News Harmony says. They're very, very open about that. I think they have said that they're trying to migrate away from that.[00:12:40] swyx: But it is explicitly against OpenAI Terms of Service. Everyone knows this. You know, especially once ByteDance got banned for, for doing exactly that. So so, so synthetic data that is not a form of model distillation is the hot thing right now, that you can bootstrap better LLM performance from the same LLM, which is very interesting.[00:13:03] swyx: A variant of this is RLAIF, where you have a, where you have a sort of a constitutional model, or, you know, some, some kind of judge model That is sort of more aligned. But that's not really what we're talking about when most people talk about synthetic data. Synthetic data is just really, I think, you know, generating more data in some way.[00:13:23] swyx: A lot of people, I think we talked about this with Vipul from the Together episode, where I think he commented that you just have to have a good world model. Or a good sort of inductive bias or whatever that, you know, term of art is. And that is strongest in math and science math and code, where you can verify what's right and what's wrong.[00:13:44] swyx: And so the REST EM paper from DeepMind explored that. Very well, it's just the most obvious thing like and then and then once you get out of that domain of like things where you can generate You can arbitrarily generate like a whole bunch of stuff and verify if they're correct and therefore they're they're correct synthetic data to train on Once you get into more sort of fuzzy topics, then it's then it's a bit less clear So I think that the the papers that drove this understanding There are two big ones and then one smaller one One was wrap like rephrasing the web from from Apple where they basically rephrased all of the C4 data set with Mistral and it be trained on that instead of C4.[00:14:23] swyx: And so new C4 trained much faster and cheaper than old C, than regular raw C4. And that was very interesting. And I have told some friends of ours that they should just throw out their own existing data sets and just do that because that seems like a pure win. Obviously we have to study, like, what the trade offs are.[00:14:42] swyx: I, I imagine there are trade offs. So I was just thinking about this last night. If you do synthetic data and it's generated from a model, probably you will not train on typos. So therefore you'll be like, once the model that's trained on synthetic data encounters the first typo, they'll be like, what is this?[00:15:01] swyx: I've never seen this before. So they have no association or correction as to like, oh, these tokens are often typos of each other, therefore they should be kind of similar. I don't know. That's really remains to be seen, I think. I don't think that the Apple people export[00:15:15] Alessio: that. Yeah, isn't that the whole, Mode collapse thing, if we do more and more of this at the end of the day.[00:15:22] swyx: Yeah, that's one form of that. Yeah, exactly. Microsoft also had a good paper on text embeddings. And then I think this is a meta paper on self rewarding language models. That everyone is very interested in. Another paper was also SPIN. These are all things we covered in the the Latent Space Paper Club.[00:15:37] swyx: But also, you know, I just kind of recommend those as top reads of the month. Yeah, I don't know if there's any much else in terms, so and then, regarding the potential of it, I think it's high potential because, one, it solves one of the data war issues that we have, like, everyone is OpenAI is paying Reddit 60 million dollars a year for their user generated data.[00:15:56] swyx: Google, right?[00:15:57] Alessio: Not OpenAI.[00:15:59] swyx: Is it Google? I don't[00:16:00] Alessio: know. Well, somebody's paying them 60 million, that's[00:16:04] swyx: for sure. Yes, that is, yeah, yeah, and then I think it's maybe not confirmed who. But yeah, it is Google. Oh my god, that's interesting. Okay, because everyone was saying, like, because Sam Altman owns 5 percent of Reddit, which is apparently 500 million worth of Reddit, he owns more than, like, the founders.[00:16:21] Alessio: Not enough to get the data,[00:16:22] swyx: I guess. So it's surprising that it would go to Google instead of OpenAI, but whatever. Okay yeah, so I think that's all super interesting in the data field. I think it's high potential because we have evidence that it works. There's not a doubt that it doesn't work. I think it's a doubt that there's, what the ceiling is, which is the mode collapse thing.[00:16:42] swyx: If it turns out that the ceiling is pretty close, then this will maybe augment our data by like, I don't know, 30 50 percent good, but not game[00:16:51] Alessio: changing. And most of the synthetic data stuff, it's reinforcement learning on a pre trained model. People are not really doing pre training on fully synthetic data, like, large enough scale.[00:17:02] swyx: Yeah, unless one of our friends that we've talked to succeeds. Yeah, yeah. Pre trained synthetic data, pre trained scale synthetic data, I think that would be a big step. Yeah. And then there's a wildcard, so all of these, like smaller Directions,[00:17:15] Wildcard: Multi-Epoch Training (OLMo, Datablations)[00:17:15] swyx: I always put a wildcard in there. And one of the wildcards is, okay, like, Let's say, you have pre, you have, You've scraped all the data on the internet that you think is useful.[00:17:25] swyx: Seems to top out at somewhere between 2 trillion to 3 trillion tokens. Maybe 8 trillion if Mistral, Mistral gets lucky. Okay, if I need 80 trillion, if I need 100 trillion, where do I go? And so, you can do synthetic data maybe, but maybe that only gets you to like 30, 40 trillion. Like where, where is the extra alpha?[00:17:43] swyx: And maybe extra alpha is just train more on the same tokens. Which is exactly what Omo did, like Nathan Lambert, AI2, After, just after he did the interview with us, they released Omo. So, it's unfortunate that we didn't get to talk much about it. But Omo actually started doing 1. 5 epochs on every, on all data.[00:18:00] swyx: And the data ablation paper that I covered in Europe's says that, you know, you don't like, don't really start to tap out of like, the alpha or the sort of improved loss that you get from data all the way until four epochs. And so I'm just like, okay, like, why do we all agree that one epoch is all you need?[00:18:17] swyx: It seems like to be a trend. It seems that we think that memorization is very good or too good. But then also we're finding that, you know, For improvement in results that we really like, we're fine on overtraining on things intentionally. So, I think that's an interesting direction that I don't see people exploring enough.[00:18:36] swyx: And the more I see papers coming out Stretching beyond the one epoch thing, the more people are like, it's completely fine. And actually, the only reason we stopped is because we ran out of compute[00:18:46] Alessio: budget. Yeah, I think that's the biggest thing, right?[00:18:51] swyx: Like, that's not a valid reason, that's not science. I[00:18:54] Alessio: wonder if, you know, Matt is going to do it.[00:18:57] Alessio: I heard LamaTree, they want to do a 100 billion parameters model. I don't think you can train that on too many epochs, even with their compute budget, but yeah. They're the only ones that can save us, because even if OpenAI is doing this, they're not going to tell us, you know. Same with DeepMind.[00:19:14] swyx: Yeah, and so the updates that we got on Lambda 3 so far is apparently that because of the Gemini news that we'll talk about later they're pushing it back on the release.[00:19:21] swyx: They already have it. And they're just pushing it back to do more safety testing. Politics testing.[00:19:28] Alessio: Well, our episode with Sumit will have already come out by the time this comes out, I think. So people will get the inside story on how they actually allocate the compute.[00:19:38] Direction 3: Alt. Architectures (Mamba, RWKV, RingAttention, Diffusion Transformers)[00:19:38] Alessio: Alternative architectures. Well, shout out to our WKV who won one of the prizes at our Final Frontiers event last week.[00:19:47] Alessio: We talked about Mamba and Strapain on the Together episode. A lot of, yeah, monarch mixers. I feel like Together, It's like the strong Stanford Hazy Research Partnership, because Chris Ray is one of the co founders. So they kind of have a, I feel like they're going to be the ones that have one of the state of the art models alongside maybe RWKB.[00:20:08] Alessio: I haven't seen as many independent. People working on this thing, like Monarch Mixer, yeah, Manbuster, Payena, all of these are together related. Nobody understands the math. They got all the gigabrains, they got 3DAO, they got all these folks in there, like, working on all of this.[00:20:25] swyx: Albert Gu, yeah. Yeah, so what should we comment about it?[00:20:28] swyx: I mean, I think it's useful, interesting, but at the same time, both of these are supposed to do really good scaling for long context. And then Gemini comes out and goes like, yeah, we don't need it. Yeah.[00:20:44] Alessio: No, that's the risk. So, yeah. I was gonna say, maybe it's not here, but I don't know if we want to talk about diffusion transformers as like in the alt architectures, just because of Zora.[00:20:55] swyx: One thing, yeah, so, so, you know, this came from the Jan recap, which, and diffusion transformers were not really a discussion, and then, obviously, they blow up in February. Yeah. I don't think they're, it's a mixed architecture in the same way that Stripe Tiena is mixed there's just different layers taking different approaches.[00:21:13] swyx: Also I think another one that I maybe didn't call out here, I think because it happened in February, was hourglass diffusion from stability. But also, you know, another form of mixed architecture. So I guess that is interesting. I don't have much commentary on that, I just think, like, we will try to evolve these things, and maybe one of these architectures will stick and scale, it seems like diffusion transformers is going to be good for anything generative, you know, multi modal.[00:21:41] swyx: We don't see anything where diffusion is applied to text yet, and that's the wild card for this category. Yeah, I mean, I think I still hold out hope for let's just call it sub quadratic LLMs. I think that a lot of discussion this month actually was also centered around this concept that People always say, oh, like, transformers don't scale because attention is quadratic in the sequence length.[00:22:04] swyx: Yeah, but, you know, attention actually is a very small part of the actual compute that is being spent, especially in inference. And this is the reason why, you know, when you multiply, when you, when you, when you jump up in terms of the, the model size in GPT 4 from like, you know, 38k to like 32k, you don't also get like a 16 times increase in your, in your performance.[00:22:23] swyx: And this is also why you don't get like a million times increase in your, in your latency when you throw a million tokens into Gemini. Like people have figured out tricks around it or it's just not that significant as a term, as a part of the overall compute. So there's a lot of challenges to this thing working.[00:22:43] swyx: It's really interesting how like, how hyped people are about this versus I don't know if it works. You know, it's exactly gonna, gonna work. And then there's also this, this idea of retention over long context. Like, even though you have context utilization, like, the amount of, the amount you can remember is interesting.[00:23:02] swyx: Because I've had people criticize both Mamba and RWKV because they're kind of, like, RNN ish in the sense that they have, like, a hidden memory and sort of limited hidden memory that they will forget things. So, for all these reasons, Gemini 1. 5, which we still haven't covered, is very interesting because Gemini magically has fixed all these problems with perfect haystack recall and reasonable latency and cost.[00:23:29] Wildcards: Text Diffusion, RALM/Retro[00:23:29] swyx: So that's super interesting. So the wildcard I put in here if you want to go to that. I put two actually. One is text diffusion. I think I'm still very influenced by my meeting with a mid journey person who said they were working on text diffusion. I think it would be a very, very different paradigm for, for text generation, reasoning, plan generation if we can get diffusion to work.[00:23:51] swyx: For text. And then the second one is Dowie Aquila's contextual AI, which is working on retrieval augmented language models, where it kind of puts RAG inside of the language model instead of outside.[00:24:02] Alessio: Yeah, there's a paper called Retro that covers some of this. I think that's an interesting thing. I think the The challenge, well not the challenge, what they need to figure out is like how do you keep the rag piece always up to date constantly, you know, I feel like the models, you put all this work into pre training them, but then at least you have a fixed artifact.[00:24:22] Alessio: These architectures are like constant work needs to be done on them and they can drift even just based on the rag data instead of the model itself. Yeah,[00:24:30] swyx: I was in a panel with one of the investors in contextual and the guy, the way that guy pitched it, I didn't agree with. He was like, this will solve hallucination.[00:24:38] Alessio: That's what everybody says. We solve[00:24:40] swyx: hallucination. I'm like, no, you reduce it. It cannot,[00:24:44] Alessio: if you solved it, the model wouldn't exist, right? It would just be plain text. It wouldn't be a generative model. Cool. So, author, architectures, then we got mixture of experts. I think we covered a lot of, a lot of times.[00:24:56] Direction 4: Mixture of Experts (DeepSeekMoE, Samba-1)[00:24:56] Alessio: Maybe any new interesting threads you want to go under here?[00:25:00] swyx: DeepSeq MOE, which was released in January. Everyone who is interested in MOEs should read that paper, because it's significant for two reasons. One three reasons. One, it had, it had small experts, like a lot more small experts. So, for some reason, everyone has settled on eight experts for GPT 4 for Mixtral, you know, that seems to be the favorite architecture, but these guys pushed it to 64 experts, and each of them smaller than the other.[00:25:26] swyx: But then they also had the second idea, which is that it is They had two, one to two always on experts for common knowledge and that's like a very compelling concept that you would not route to all the experts all the time and make them, you know, switch to everything. You would have some always on experts.[00:25:41] swyx: I think that's interesting on both the inference side and the training side for for memory retention. And yeah, they, they, they, the, the, the, the results that they published, which actually excluded, Mixed draw, which is interesting. The results that they published showed a significant performance jump versus all the other sort of open source models at the same parameter count.[00:26:01] swyx: So like this may be a better way to do MOEs that are, that is about to get picked up. And so that, that is interesting for the third reason, which is this is the first time a new idea from China. has infiltrated the West. It's usually the other way around. I probably overspoke there. There's probably lots more ideas that I'm not aware of.[00:26:18] swyx: Maybe in the embedding space. But the I think DCM we, like, woke people up and said, like, hey, DeepSeek, this, like, weird lab that is attached to a Chinese hedge fund is somehow, you know, doing groundbreaking research on MOEs. So, so, I classified this as a medium potential because I think that it is a sort of like a one off benefit.[00:26:37] swyx: You can Add to any, any base model to like make the MOE version of it, you get a bump and then that's it. So, yeah,[00:26:45] Alessio: I saw Samba Nova, which is like another inference company. They released this MOE model called Samba 1, which is like a 1 trillion parameters. But they're actually MOE auto open source models.[00:26:56] Alessio: So it's like, they just, they just clustered them all together. So I think people. Sometimes I think MOE is like you just train a bunch of small models or like smaller models and put them together. But there's also people just taking, you know, Mistral plus Clip plus, you know, Deepcoder and like put them all together.[00:27:15] Alessio: And then you have a MOE model. I don't know. I haven't tried the model, so I don't know how good it is. But it seems interesting that you can then have people working separately on state of the art, you know, Clip, state of the art text generation. And then you have a MOE architecture that brings them all together.[00:27:31] swyx: I'm thrown off by your addition of the word clip in there. Is that what? Yeah, that's[00:27:35] Alessio: what they said. Yeah, yeah. Okay. That's what they I just saw it yesterday. I was also like[00:27:40] swyx: scratching my head. And they did not use the word adapter. No. Because usually what people mean when they say, Oh, I add clip to a language model is adapter.[00:27:48] swyx: Let me look up the Which is what Lava did.[00:27:50] Alessio: The announcement again.[00:27:51] swyx: Stable diffusion. That's what they do. Yeah, it[00:27:54] Alessio: says among the models that are part of Samba 1 are Lama2, Mistral, DeepSigCoder, Falcon, Dplot, Clip, Lava. So they're just taking all these models and putting them in a MOE. Okay,[00:28:05] swyx: so a routing layer and then not jointly trained as much as a normal MOE would be.[00:28:12] swyx: Which is okay.[00:28:13] Alessio: That's all they say. There's no paper, you know, so it's like, I'm just reading the article, but I'm interested to see how[00:28:20] Wildcard: Model Merging (mergekit)[00:28:20] swyx: it works. Yeah, so so the wildcard for this section, the MOE section is model merges, which has also come up as, as a very interesting phenomenon. The last time I talked to Jeremy Howard at the Olama meetup we called it model grafting or model stacking.[00:28:35] swyx: But I think the, the, the term that people are liking these days, the model merging, They're all, there's all different variations of merging. Merge types, and some of them are stacking, some of them are, are grafting. And, and so like, some people are approaching model merging in the way that Samba is doing, which is like, okay, here are defined models, each of which have their specific, Plus and minuses, and we will merge them together in the hope that the, you know, the sum of the parts will, will be better than others.[00:28:58] swyx: And it seems like it seems like it's working. I don't really understand why it works apart from, like, I think it's a form of regularization. That if you merge weights together in like a smart strategy you, you, you get a, you get a, you get a less overfitting and more generalization, which is good for benchmarks, if you, if you're honest about your benchmarks.[00:29:16] swyx: So this is really interesting and good. But again, they're kind of limited in terms of like the amount of bumps you can get. But I think it's very interesting in the sense of how cheap it is. We talked about this on the Chinatalk podcast, like the guest podcast that we did with Chinatalk. And you can do this without GPUs, because it's just adding weights together, and dividing things, and doing like simple math, which is really interesting for the GPU ports.[00:29:42] Alessio: There's a lot of them.[00:29:44] Direction 5: Online LLMs (Gemini Pro, Exa)[00:29:44] Alessio: And just to wrap these up, online LLMs? Yeah,[00:29:48] swyx: I think that I ki I had to feature this because the, one of the top news of January was that Gemini Pro beat GPT-4 turbo on LM sis for the number two slot to GPT-4. And everyone was very surprised. Like, how does Gemini do that?[00:30:06] swyx: Surprise, surprise, they added Google search. Mm-hmm to the results. So it became an online quote unquote online LLM and not an offline LLM. Therefore, it's much better at answering recent questions, which people like. There's an emerging set of table stakes features after you pre train something.[00:30:21] swyx: So after you pre train something, you should have the chat tuned version of it, or the instruct tuned version of it, however you choose to call it. You should have the JSON and function calling version of it. Structured output, the term that you don't like. You should have the online version of it. These are all like table stakes variants, that you should do when you offer a base LLM, or you train a base LLM.[00:30:44] swyx: And I think online is just like, There, it's important. I think companies like Perplexity, and even Exa, formerly Metaphor, you know, are rising to offer that search needs. And it's kind of like, they're just necessary parts of a system. When you have RAG for internal knowledge, and then you have, you know, Online search for external knowledge, like things that you don't know yet?[00:31:06] swyx: Mm-Hmm. . And it seems like it's, it's one of many tools. I feel like I may be underestimating this, but I'm just gonna put it out there that I, I think it has some, some potential. One of the evidence points that it doesn't actually matter that much is that Perplexity has a, has had online LMS for three months now and it performs, doesn't perform great.[00:31:25] swyx: Mm-Hmm. on, on lms, it's like number 30 or something. So it's like, okay. You know, like. It's, it's, it helps, but it doesn't give you a giant, giant boost. I[00:31:34] Alessio: feel like a lot of stuff I do with LLMs doesn't need to be online. So I'm always wondering, again, going back to like state of the art, right? It's like state of the art for who and for what.[00:31:45] Alessio: It's really, I think online LLMs are going to be, State of the art for, you know, news related activity that you need to do. Like, you're like, you know, social media, right? It's like, you want to have all the latest stuff, but coding, science,[00:32:01] swyx: Yeah, but I think. Sometimes you don't know what is news, what is news affecting.[00:32:07] swyx: Like, the decision to use an offline LLM is already a decision that you might not be consciously making that might affect your results. Like, what if, like, just putting things on, being connected online means that you get to invalidate your knowledge. And when you're just using offline LLM, like it's never invalidated.[00:32:27] swyx: I[00:32:28] Alessio: agree, but I think going back to your point of like the standing the test of time, I think sometimes you can get swayed by the online stuff, which is like, hey, you ask a question about, yeah, maybe AI research direction, you know, and it's like, all the recent news are about this thing. So the LLM like focus on answering, bring it up, you know, these things.[00:32:50] swyx: Yeah, so yeah, I think, I think it's interesting, but I don't know if I can, I bet heavily on this.[00:32:56] Alessio: Cool. Was there one that you forgot to put, or, or like a, a new direction? Yeah,[00:33:01] swyx: so, so this brings us into sort of February. ish.[00:33:05] OpenAI Sora and why everyone underestimated videogen[00:33:05] swyx: So like I published this in like 15 came with Sora. And so like the one thing I did not mention here was anything about multimodality.[00:33:16] swyx: Right. And I have chronically underweighted this. I always wrestle. And, and my cop out is that I focused this piece or this research direction piece on LLMs because LLMs are the source of like AGI, quote unquote AGI. Everything else is kind of like. You know, related to that, like, generative, like, just because I can generate better images or generate better videos, it feels like it's not on the critical path to AGI, which is something that Nat Friedman also observed, like, the day before Sora, which is kind of interesting.[00:33:49] swyx: And so I was just kind of like trying to focus on like what is going to get us like superhuman reasoning that we can rely on to build agents that automate our lives and blah, blah, blah, you know, give us this utopian future. But I do think that I, everybody underestimated the, the sheer importance and cultural human impact of Sora.[00:34:10] swyx: And you know, really actually good text to video. Yeah. Yeah.[00:34:14] Alessio: And I saw Jim Fan at a, at a very good tweet about why it's so impressive. And I think when you have somebody leading the embodied research at NVIDIA and he said that something is impressive, you should probably listen. So yeah, there's basically like, I think you, you mentioned like impacting the world, you know, that we live in.[00:34:33] Alessio: I think that's kind of like the key, right? It's like the LLMs don't have, a world model and Jan Lekon. He can come on the podcast and talk all about what he thinks of that. But I think SORA was like the first time where people like, Oh, okay, you're not statically putting pixels of water on the screen, which you can kind of like, you know, project without understanding the physics of it.[00:34:57] Alessio: Now you're like, you have to understand how the water splashes when you have things. And even if you just learned it by watching video and not by actually studying the physics, You still know it, you know, so I, I think that's like a direction that yeah, before you didn't have, but now you can do things that you couldn't before, both in terms of generating, I think it always starts with generating, right?[00:35:19] Alessio: But like the interesting part is like understanding it. You know, it's like if you gave it, you know, there's the video of like the, the ship in the water that they generated with SORA, like if you gave it the video back and now it could tell you why the ship is like too rocky or like it could tell you why the ship is sinking, then that's like, you know, AGI for like all your rig deployments and like all this stuff, you know, so, but there's none, there's none of that yet, so.[00:35:44] Alessio: Hopefully they announce it and talk more about it. Maybe a Dev Day this year, who knows.[00:35:49] swyx: Yeah who knows, who knows. I'm talking with them about Dev Day as well. So I would say, like, the phrasing that Jim used, which resonated with me, he kind of called it a data driven world model. I somewhat agree with that.[00:36:04] Does Sora have a World Model? Yann LeCun vs Jim Fan[00:36:04] swyx: I am on more of a Yann LeCun side than I am on Jim's side, in the sense that I think that is the vision or the hope that these things can build world models. But you know, clearly even at the current SORA size, they don't have the idea of, you know, They don't have strong consistency yet. They have very good consistency, but fingers and arms and legs will appear and disappear and chairs will appear and disappear.[00:36:31] swyx: That definitely breaks physics. And it also makes me think about how we do deep learning versus world models in the sense of You know, in classic machine learning, when you have too many parameters, you will overfit, and actually that fails, that like, does not match reality, and therefore fails to generalize well.[00:36:50] swyx: And like, what scale of data do we need in order to world, learn world models from video? A lot. Yeah. So, so I, I And cautious about taking this interpretation too literally, obviously, you know, like, I get what he's going for, and he's like, obviously partially right, obviously, like, transformers and, and, you know, these, like, these sort of these, these neural networks are universal function approximators, theoretically could figure out world models, it's just like, how good are they, and how tolerant are we of hallucinations, we're not very tolerant, like, yeah, so It's, it's, it's gonna prior, it's gonna bias us for creating like very convincing things, but then not create like the, the, the useful role models that we want.[00:37:37] swyx: At the same time, what you just said, I think made me reflect a little bit like we just got done saying how important synthetic data is for Mm-Hmm. for training lms. And so like, if this is a way of, of synthetic, you know, vi video data for improving our video understanding. Then sure, by all means. Which we actually know, like, GPT 4, Vision, and Dolly were trained, kind of, co trained together.[00:38:02] swyx: And so, like, maybe this is on the critical path, and I just don't fully see the full picture yet.[00:38:08] Alessio: Yeah, I don't know. I think there's a lot of interesting stuff. It's like, imagine you go back, you have Sora, you go back in time, and Newton didn't figure out gravity yet. Would Sora help you figure it out?[00:38:21] Alessio: Because you start saying, okay, a man standing under a tree with, like, Apples falling, and it's like, oh, they're always falling at the same speed in the video. Why is that? I feel like sometimes these engines can like pick up things, like humans have a lot of intuition, but if you ask the average person, like the physics of like a fluid in a boat, they couldn't be able to tell you the physics, but they can like observe it, but humans can only observe this much, you know, versus like now you have these models to observe everything and then They generalize these things and maybe we can learn new things through the generalization that they pick up.[00:38:55] swyx: But again, And it might be more observant than us in some respects. In some ways we can scale it up a lot more than the number of physicists that we have available at Newton's time. So like, yeah, absolutely possible. That, that this can discover new science. I think we have a lot of work to do to formalize the science.[00:39:11] swyx: And then, I, I think the last part is you know, How much, how much do we cheat by gen, by generating data from Unreal Engine 5? Mm hmm. which is what a lot of people are speculating with very, very limited evidence that OpenAI did that. The strongest evidence that I saw was someone who works a lot with Unreal Engine 5 looking at the side characters in the videos and noticing that they all adopt Unreal Engine defaults.[00:39:37] swyx: of like, walking speed, and like, character choice, like, character creation choice. And I was like, okay, like, that's actually pretty convincing that they actually use Unreal Engine to bootstrap some synthetic data for this training set. Yeah,[00:39:52] Alessio: could very well be.[00:39:54] swyx: Because then you get the labels and the training side by side.[00:39:58] swyx: One thing that came up on the last day of February, which I should also mention, is EMO coming out of Alibaba, which is also a sort of like video generation and space time transformer that also involves probably a lot of synthetic data as well. And so like, this is of a kind in the sense of like, oh, like, you know, really good generative video is here and It is not just like the one, two second clips that we saw from like other, other people and like, you know, Pika and all the other Runway are, are, are, you know, run Cristobal Valenzuela from Runway was like game on which like, okay, but like, let's see your response because we've heard a lot about Gen 1 and 2, but like, it's nothing on this level of Sora So it remains to be seen how we can actually apply this, but I do think that the creative industry should start preparing.[00:40:50] swyx: I think the Sora technical blog post from OpenAI was really good.. It was like a request for startups. It was so good in like spelling out. Here are the individual industries that this can impact.[00:41:00] swyx: And anyone who, anyone who's like interested in generative video should look at that. But also be mindful that probably when OpenAI releases a Soa API, right? The you, the in these ways you can interact with it are very limited. Just like the ways you can interact with Dahlia very limited and someone is gonna have to make open SOA to[00:41:19] swyx: Mm-Hmm to, to, for you to create comfy UI pipelines.[00:41:24] Alessio: The stability folks said they wanna build an open. For a competitor, but yeah, stability. Their demo video, their demo video was like so underwhelming. It was just like two people sitting on the beach[00:41:34] swyx: standing. Well, they don't have it yet, right? Yeah, yeah.[00:41:36] swyx: I mean, they just wanna train it. Everybody wants to, right? Yeah. I, I think what is confusing a lot of people about stability is like they're, they're, they're pushing a lot of things in stable codes, stable l and stable video diffusion. But like, how much money do they have left? How many people do they have left?[00:41:51] swyx: Yeah. I have had like a really, Ima Imad spent two hours with me. Reassuring me things are great. And, and I'm like, I, I do, like, I do believe that they have really, really quality people. But it's just like, I, I also have a lot of very smart people on the other side telling me, like, Hey man, like, you know, don't don't put too much faith in this, in this thing.[00:42:11] swyx: So I don't know who to believe. Yeah.[00:42:14] Alessio: It's hard. Let's see. What else? We got a lot more stuff. I don't know if we can. Yeah, Groq.[00:42:19] Groq Math[00:42:19] Alessio: We can[00:42:19] swyx: do a bit of Groq prep. We're, we're about to go to talk to Dylan Patel. Maybe, maybe it's the audio in here. I don't know. It depends what, what we get up to later. What, how, what do you as an investor think about Groq? Yeah. Yeah, well, actually, can you recap, like, why is Groq interesting? So,[00:42:33] Alessio: Jonathan Ross, who's the founder of Groq, he's the person that created the TPU at Google. It's actually, it was one of his, like, 20 percent projects. It's like, he was just on the side, dooby doo, created the TPU.[00:42:46] Alessio: But yeah, basically, Groq, they had this demo that went viral, where they were running Mistral at, like, 500 tokens a second, which is like, Fastest at anything that you have out there. The question, you know, it's all like, The memes were like, is NVIDIA dead? Like, people don't need H100s anymore. I think there's a lot of money that goes into building what GRUK has built as far as the hardware goes.[00:43:11] Alessio: We're gonna, we're gonna put some of the notes from, from Dylan in here, but Basically the cost of the Groq system is like 30 times the cost of, of H100 equivalent. So, so[00:43:23] swyx: let me, I put some numbers because me and Dylan were like, I think the two people actually tried to do Groq math. Spreadsheet doors.[00:43:30] swyx: Spreadsheet doors. So, one that's, okay, oh boy so, so, equivalent H100 for Lama 2 is 300, 000. For a system of 8 cards. And for Groq it's 2. 3 million. Because you have to buy 576 Groq cards. So yeah, that, that just gives people an idea. So like if you deprecate both over a five year lifespan, per year you're deprecating 460K for Groq, and 60K a year for H100.[00:43:59] swyx: So like, Groqs are just way more expensive per model that you're, that you're hosting. But then, you make it up in terms of volume. So I don't know if you want to[00:44:08] Alessio: cover that. I think one of the promises of Groq is like super high parallel inference on the same thing. So you're basically saying, okay, I'm putting on this upfront investment on the hardware, but then I get much better scaling once I have it installed.[00:44:24] Alessio: I think the big question is how much can you sustain the parallelism? You know, like if you get, if you're going to get 100% Utilization rate at all times on Groq, like, it's just much better, you know, because like at the end of the day, the tokens per second costs that you're getting is better than with the H100s, but if you get to like 50 percent utilization rate, you will be much better off running on NVIDIA.[00:44:49] Alessio: And if you look at most companies out there, who really gets 100 percent utilization rate? Probably open AI at peak times, but that's probably it. But yeah, curious to see more. I saw Jonathan was just at the Web Summit in Dubai, in Qatar. He just gave a talk there yesterday. That I haven't listened to yet.[00:45:09] Alessio: I, I tweeted that he should come on the pod. He liked it. And then rock followed me on Twitter. I don't know if that means that they're interested, but[00:45:16] swyx: hopefully rock social media person is just very friendly. They, yeah. Hopefully[00:45:20] Alessio: we can get them. Yeah, we, we gonna get him. We[00:45:22] swyx: just call him out and, and so basically the, the key question is like, how sustainable is this and how much.[00:45:27] swyx: This is a loss leader the entire Groq management team has been on Twitter and Hacker News saying they are very, very comfortable with the pricing of 0. 27 per million tokens. This is the lowest that anyone has offered tokens as far as Mixtral or Lama2. This matches deep infra and, you know, I think, I think that's, that's, that's about it in terms of that, that, that low.[00:45:47] swyx: And we think the pro the break even for H100s is 50 cents. At a, at a normal utilization rate. To make this work, so in my spreadsheet I made this, made this work. You have to have like a parallelism of 500 requests all simultaneously. And you have, you have model bandwidth utilization of 80%.[00:46:06] swyx: Which is way high. I just gave them high marks for everything. Groq has two fundamental tech innovations that they hinge their hats on in terms of like, why we are better than everyone. You know, even though, like, it remains to be independently replicated. But one you know, they have this sort of the entire model on the chip idea, which is like, Okay, get rid of HBM.[00:46:30] swyx: And, like, put everything in SREM. Like, okay, fine, but then you need a lot of cards and whatever. And that's all okay. And so, like, because you don't have to transfer between memory, then you just save on that time and that's why they're faster. So, a lot of people buy that as, like, that's the reason that you're faster.[00:46:45] swyx: Then they have, like, some kind of crazy compiler, or, like, Speculative routing magic using compilers that they also attribute towards their higher utilization. So I give them 80 percent for that. And so that all that works out to like, okay, base costs, I think you can get down to like, maybe like 20 something cents per million tokens.[00:47:04] swyx: And therefore you actually are fine if you have that kind of utilization. But it's like, I have to make a lot of fearful assumptions for this to work.[00:47:12] Alessio: Yeah. Yeah, I'm curious to see what Dylan says later.[00:47:16] swyx: So he was like completely opposite of me. He's like, they're just burning money. Which is great.[00:47:22] Analyzing Gemini's 1m Context, Reddit deal, Imagegen politics, Gemma via the Four Wars[00:47:22] Alessio: Gemini, want to do a quick run through since this touches on all the four words.[00:47:28] swyx: Yeah, and I think this is the mark of a useful framework, that when a new thing comes along, you can break it down in terms of the four words and sort of slot it in or analyze it in those four frameworks, and have nothing left.[00:47:41] swyx: So it's a MECE categorization. MECE is Mutually Exclusive and Collectively Exhaustive. And that's a really, really nice way to think about taxonomies and to create mental frameworks. So, what is Gemini 1. 5 Pro? It is the newest model that came out one week after Gemini 1. 0. Which is very interesting.[00:48:01] swyx: They have not really commented on why. They released this the headline feature is that it has a 1 million token context window that is multi modal which means that you can put all sorts of video and audio And PDFs natively in there alongside of text and, you know, it's, it's at least 10 times longer than anything that OpenAI offers which is interesting.[00:48:20] swyx: So it's great for prototyping and it has interesting discussions on whether it kills RAG.[00:48:25] Alessio: Yeah, no, I mean, we always talk about, you know, Long context is good, but you're getting charged per token. So, yeah, people love for you to use more tokens in the context. And RAG is better economics. But I think it all comes down to like how the price curves change, right?[00:48:42] Alessio: I think if anything, RAG's complexity goes up and up the more you use it, you know, because you have more data sources, more things you want to put in there. The token costs should go down over time, you know, if the model stays fixed. If people are happy with the model today. In two years, three years, it's just gonna cost a lot less, you know?[00:49:02] Alessio: So now it's like, why would I use RAG and like go through all of that? It's interesting. I think RAG is better cutting edge economics for LLMs. I think large context will be better long tail economics when you factor in the build cost of like managing a RAG pipeline. But yeah, the recall was like the most interesting thing because we've seen the, you know, You know, in the haystack things in the past, but apparently they have 100 percent recall on anything across the context window.[00:49:28] Alessio: At least they say nobody has used it. No, people[00:49:30] swyx: have. Yeah so as far as, so, so what this needle in a haystack thing for people who aren't following as closely as us is that someone, I forget his name now someone created this needle in a haystack problem where you feed in a whole bunch of generated junk not junk, but just like, Generate a data and ask it to specifically retrieve something in that data, like one line in like a hundred thousand lines where it like has a specific fact and if it, if you get it, you're, you're good.[00:49:57] swyx: And then he moves the needle around, like, you know, does it, does, does your ability to retrieve that vary if I put it at the start versus put it in the middle, put it at the end? And then you generate this like really nice chart. That, that kind of shows like it's recallability of a model. And he did that for GPT and, and Anthropic and showed that Anthropic did really, really poorly.[00:50:15] swyx: And then Anthropic came back and said it was a skill issue, just add this like four, four magic words, and then, then it's magically all fixed. And obviously everybody laughed at that. But what Gemini came out with was, was that, yeah, we, we reproduced their, you know, haystack issue you know, test for Gemini, and it's good across all, all languages.[00:50:30] swyx: All the one million token window, which is very interesting because usually for typical context extension methods like rope or yarn or, you know, anything like that, or alibi, it's lossy like by design it's lossy, usually for conversations that's fine because we are lossy when we talk to people but for superhuman intelligence, perfect memory across Very, very long context.[00:50:51] swyx: It's very, very interesting for picking things up. And so the people who have been given the beta test for Gemini have been testing this. So what you do is you upload, let's say, all of Harry Potter and you change one fact in one sentence, somewhere in there, and you ask it to pick it up, and it does. So this is legit.[00:51:08] swyx: We don't super know how, because this is, like, because it doesn't, yes, it's slow to inference, but it's not slow enough that it's, like, running. Five different systems in the background without telling you. Right. So it's something, it's something interesting that they haven't fully disclosed yet. The open source community has centered on this ring attention paper, which is created by your friend Matei Zaharia, and a couple other people.[00:51:36] swyx: And it's a form of distributing the compute. I don't super understand, like, why, you know, doing, calculating, like, the fee for networking and attention. In block wise fashion and distributing it makes it so good at recall. I don't think they have any answer to that. The only thing that Ring of Tension is really focused on is basically infinite context.[00:51:59] swyx: They said it was good for like 10 to 100 million tokens. Which is, it's just great. So yeah, using the four wars framework, what is this framework for Gemini? One is the sort of RAG and Ops war. Here we care less about RAG now, yes. Or, we still care as much about RAG, but like, now it's it's not important in prototyping.[00:52:21] swyx: And then, for data war I guess this is just part of the overall training dataset, but Google made a 60 million deal with Reddit and presumably they have deals with other companies. For the multi modality war, we can talk about the image generation, Crisis, or the fact that Gemini also has image generation, which we'll talk about in the next section.[00:52:42] swyx: But it also has video understanding, which is, I think, the top Gemini post came from our friend Simon Willison, who basically did a short video of him scanning over his bookshelf. And it would be able to convert that video into a JSON output of what's on that bookshelf. And I think that is very useful.[00:53:04] swyx: Actually ties into the conversation that we had with David Luan from Adept. In a sense of like, okay what if video was the main modality instead of text as the input? What if, what if everything was video in, because that's how we work. We, our eyes don't actually read, don't actually like get input, our brains don't get inputs as characters.[00:53:25] swyx: Our brains get the pixels shooting into our eyes, and then our vision system takes over first, and then we sort of mentally translate that into text later. And so it's kind of like what Adept is kind of doing, which is driving by vision model, instead of driving by raw text understanding of the DOM. And, and I, I, in that, that episode, which we haven't released I made the analogy to like self-driving by lidar versus self-driving by camera.[00:53:52] swyx: Mm-Hmm. , right? Like, it's like, I think it, what Gemini and any other super long context that model that is multimodal unlocks is what if you just drive everything by video. Which is[00:54:03] Alessio: cool. Yeah, and that's Joseph from Roboflow. It's like anything that can be seen can be programmable with these models.[00:54:12] Alessio: You mean[00:54:12] swyx: the computer vision guy is bullish on computer vision?[00:54:18] Alessio: It's like the rag people. The rag people are bullish on rag and not a lot of context. I'm very surprised. The, the fine tuning people love fine tuning instead of few shot. Yeah. Yeah. The, yeah, the, that's that. Yeah, the, I, I think the ring attention thing, and it's how they did it, we don't know. And then they released the Gemma models, which are like a 2 billion and 7 billion open.[00:54:41] Alessio: Models, which people said are not, are not good based on my Twitter experience, which are the, the GPU poor crumbs. It's like, Hey, we did all this work for us because we're GPU rich and we're just going to run this whole thing. And

GOOD EVENING: The show beins in Palo Alt discussing inflation and how to get away from it. To Berlin, to Gaza, to Lebanon, to Tehran and Moscow.  Then the Great Hall of the People in Beijing. To the South Pole of the Moon. to Ike's farewell January, 1961. To Boca Chica, then to Mars and the forlorn samples prepped by Curiosity. To Moscow, to Occitanie, to the Cenral African Republic with the Russian Africa Corps. 2920 Boma

Ever found yourself caught in the great debate over which waffle reigns supreme in the Magic Kingdom – Mickey or Simba? Join us as we recount our early morning escapade to Boma - Flavors of Africa at Disney's Animal Kingdom Lodge, where we put this breakfast dilemma to the test! We'll take you through the enchanting atmosphere of the Jambo House, where we kick-started our day with over 50 African and American culinary delights. Our taste buds went on a safari, and we're ready to tell you all about the made-to-order omelets, the quintessential POG juice, and yes, the waffle verdict. But it's not just about the food; we'll share tips on how to navigate post-travel sniffles with grace and why your sick day binge-watching choices might say more about you than you think.Let's talk about the serene mornings at Boma and how they offer more than just a meal; they serve up a view of giraffes and an immersive African marketplace vibe that Disney does so well. You'll hear about the practicalities of planning your stay, from the room choices that yield the best wildlife views to the dining credits that sweeten the deal. We'll also discuss our dining experiences, both the flavors that tantalized our palates and the service that made us feel like Disney royalty. Whether you're a Disney enthusiast or just someone who appreciates a good breakfast buffet, this episode is like a warm, fluffy waffle for your ears – and we can't wait for you to take a bite.Please check our our links below:Our Sponsor:www.mainstreettravelco.com Email Us:circleofparks@gmail.com Our Website:www.circleofparks.com Facebook:www.facebook.com/circleofparks Instagram:www.instagram.com/circleofparks X:www.x.com/circleofparks Products we use: Our equipmentMicrophones: https://amzn.to/3T61oD5 Recorder: https://amzn.to/3Ibl4iuBluetooth Adapter: https://amzn.to/4a2MIufMicrophone Stand: https://amzn.to/3wrOrdSGoPro: https://amzn.to/3uT6RUlCable Organization: https://amzn.to/49oQAFUhttps://amzn.to/4bKe7CJhttps://amzn.to/3T5T1HEHeadphones: https://amzn.to/42S5FgG  Our Favorite Disney Books:Buying Disney's World: https://amzn.to/3T6z57AThe Disney Story: https://amzn.to/3T8j0hHThe Wonders of Walt Disney World: https://amzn.to/3wrLVErMeet the Disney Brothers: https://amzn.to/42RqxodPresenting Disneyland: https://amzn.to/3uIUqdI Support the show

In the 182nd episode of the Main Street Electrical Podcast, Jenn and Dave is a little different this week, as Jenn is currently sailing on a Norwegian Cruise line... so joining the show as co-host this week, fan favorite and frequent guest, #KylaKylaKyla, aka Kyla Melberg, from Upon a Star Travel! First, they lament this misery of post-trip laundry, then discuss the new Walt statue in Epcot, and the sad case of the guy in the water at Small World.  Then, Dave gives his overall review of Disney's new film "Wish", as well as thoughts on the direction of Disney Animation. Finally, Dave and Kyla were part of a larger group that hit Disney World recently, and they give their thoughts and reviews on the big events in the trip - the Wild Africa Trek in Animal Kingdom... Disney's Jollywood Nights in Hollywood Studios... the Epcot Fireworks Cruise in the pouring rain... plus, quick dining reviews on various places like The Edison, Trader Sam's, Boma and more!   Plus, the most rare Hidden Mickey at Disney World! 

The Mara may get overlooked at Disney's Animal Kingdom Lodge because it's the quick service option and how could you pass up Boma, Jiko, or Sanaa? The Mara is actually a better-than-average spot to grab a bite and get those Zebra Domes!Links:Important DIS links for more information! Hosted on Acast. See acast.com/privacy for more information.

Episode#310 This week on the show a bunch of us have breakfast at Boma together, we visit Journey of water in Epcot, Toni-Ann does Space 220 for the first time, Rich (Toni-Ann's husband) could possibly be returning to the parks after years of being away, and Dave finally get's his picture with the Mandalorian. www.thedisneycrush.com thedisneycrushpodcast@gmail.com www.patreon.com/thedisneycrush   

Today we are excited to speak with Listener Leslie from Arkansas (by way of Oklahoma - Go Pokes!) about her Girls' Trip to Walt Disney World this past February for the Princess Half-Marathon! Hear how this trip was originally delayed due to COVID and an ACL injury, but it finally came together! We hear about their stay at Disney's Pop Century Resort, fun times in all four theme parks, great meals at places like Sebastian's Bistro, Boma, Olivia's, Homecomin', and much more!  We hope you enjoy today's podcast!  Please visit our website at www.beourguestpodcast.com.  Thank you so much for your support of our podcast! Become a Patron of the show at www.Patreon.com/BeOurGuestPodcast.  Also, please follow the show on Twitter @BeOurGuestMike and on Facebook at www.facebook.com/beourguestpodcast.   Thanks to our friends at The Magic For Less Travel for sponsoring today's podcast!

We are very excited to be joined by Listener Danny from The Netherlands today (where it was the middle of the night during this recording!) to discuss his 2 week trip to Walt Disney World this past May!  Hear about the amazing deal he took advantage of for his stay at Disney's Caribbean Beach Resort, great dining reviews from Topolino's Terrace and Boma, memories from all four theme parks, shopping tips from Disney Springs and the outlet malls, and why the last night was so very special for his family!  We hope you enjoy today's podcast!  Please visit our website at www.beourguestpodcast.com.  Thank you so much for your support of our podcast! Become a Patron of the show at www.Patreon.com/BeOurGuestPodcast.  Also, please follow the show on Twitter @BeOurGuestMike and on Facebook at www.facebook.com/beourguestpodcast.   Thanks to our friends at The Magic For Less Travel for sponsoring today's podcast!

Mike, Rikki, and Pam are here today answering some great listener questions! We tackle some questions about the the differences and similarities in Sanaa, Jiko, and Boma over at Disney's Animal Kingdom Resort as well as Ohana and Kona Cafe at the Polynesian Village Resort, we discuss using the same Magic Band+ at Disneyland and Walt Disney World, talk about the online check-in process for your first Disney Cruise (and if you should use a computer or the app to go about this), tips for a first Walt Disney World trip coming from Hawaii, and much more! We hope you enjoy today's show!  Please visit our website at www.beourguestpodcast.com.  Thank you so much for your support of our podcast! Become a Patron of the show at www.Patreon.com/BeOurGuestPodcast.  Also, please follow the show on Twitter @BeOurGuestMike and on Facebook at www.facebook.com/beourguestpodcast.   Thanks to our friends at The Magic For Less Travel for sponsoring today's podcast!

We are excited to have you join us for today's fun trip report with Listener Carol from Florida! Today, we talk about her anniversary trip to Disney's Animal Kingdom Lodge last spring where they got a great upgrade to a wonderful Savannah View room and made the most of it! We discuss use of Genie Plus in the theme parks, great meals at places like Sanaa, Boma, Tusker House, and Liberty Tree Tavern as well as making a lightsaber at Savi's Workshop! Also, hear about why slowing down at Walt Disney World might mean a lot better vacation! We hope you enjoy today's podcast!  Please visit our website at www.beourguestpodcast.com.  Thank you so much for your support of our podcast! Become a Patron of the show at www.Patreon.com/BeOurGuestPodcast.  Also, please follow the show on Twitter @BeOurGuestMike and on Facebook at www.facebook.com/beourguestpodcast.   Thanks to our friends at The Magic For Less Travel for sponsoring today's podcast!